ࡱ> ` bjbjss #:>   " $:dddPVdZgl:lrrrr@b:f,fg$h!$`a^$. . rr9J$$$. rr$$$fp4rl Kdx6D|Hz4  g u $̇ggg$$dggg::#D::#:::. . . . . .   Maine State Substance Abuse Assessment and Epidemiological Profile 2005 Funding provided by the Substance Abuse and Mental Health Services Administration, Center for Substance Abuse Prevention Table of Contents  TOC \o "1-3" \h \z \u   HYPERLINK \l "_Toc144777926" Introduction:  PAGEREF _Toc144777926 \h 3  HYPERLINK \l "_Toc144777927" Background:  PAGEREF _Toc144777927 \h 3  HYPERLINK \l "_Toc144777928" SEW Structure and Methods:  PAGEREF _Toc144777928 \h 5  HYPERLINK \l "_Toc144777929" I. Inventory of Available Substance Abuse Data/Indicators (AOD only)  PAGEREF _Toc144777929 \h 5  HYPERLINK \l "_Toc144777930" II. Evaluating and Selecting Indicators for Needs Assessment  PAGEREF _Toc144777930 \h 8  HYPERLINK \l "_Toc144777931" III. Organizing and Presentation of Indicators  PAGEREF _Toc144777931 \h 10  HYPERLINK \l "_Toc144777932" IV. Generating Problem Statements and Prioritization of Problem Statements  PAGEREF _Toc144777932 \h 13  HYPERLINK \l "_Toc144777933" 1. Overview of Substance Related Problems in Maine  PAGEREF _Toc144777933 \h 14  HYPERLINK \l "_Toc144777934" A. Overview of Substance Related Consequences in Maine  PAGEREF _Toc144777934 \h 14  HYPERLINK \l "_Toc144777935" B. Overview of Substance Consumption Patterns in Maine (ages 12 and older)  PAGEREF _Toc144777935 \h 16  HYPERLINK \l "_Toc144777936" C. Overview of Substance Consumption Patterns in Maine (Ages 18 and Older)  PAGEREF _Toc144777936 \h 17  HYPERLINK \l "_Toc144777937" D. Overview of substance consumption patterns in Maine (Grades 9-12)  PAGEREF _Toc144777937 \h 18  HYPERLINK \l "_Toc144777938" 2. Alcohol Related Problems  PAGEREF _Toc144777938 \h 20  HYPERLINK \l "_Toc144777939" A.ii.1. Underage Binge Drinking Past 2 Weeks (Grades 6-12)  PAGEREF _Toc144777939 \h 20  HYPERLINK \l "_Toc144777940" A.ii.2. Underage Drinking and Driving Past 30 Days (Grades 9-12)  PAGEREF _Toc144777940 \h 22  HYPERLINK \l "_Toc144777941" B.i.1. Alcohol Related Mortality (All ages)  PAGEREF _Toc144777941 \h 23  HYPERLINK \l "_Toc144777942" B.i.1.a. Suicide Death Rate Annual Average  PAGEREF _Toc144777942 \h 23  HYPERLINK \l "_Toc144777943" B.i.1.b. Alcoholic Liver Disease Death Rate Annual Average  PAGEREF _Toc144777943 \h 24  HYPERLINK \l "_Toc144777944" B.i.2. Alcohol Related Traffic Fatality Annual Average (All Ages)  PAGEREF _Toc144777944 \h 25  HYPERLINK \l "_Toc144777945" B.i.3. Alcohol related workplace problems past year (Ages 18 to 64)  PAGEREF _Toc144777945 \h 27  HYPERLINK \l "_Toc144777946" B.ii.1. Binge Drinking Past 30 Days (Ages 18 to 64)  PAGEREF _Toc144777946 \h 28  HYPERLINK \l "_Toc144777947" B.ii.2. Heavy Average Daily Use of Alcohol Past 30 Days (Ages 18 and Above)  PAGEREF _Toc144777947 \h 29  HYPERLINK \l "_Toc144777948" 3. Marijuana Related Problems  PAGEREF _Toc144777948 \h 30  HYPERLINK \l "_Toc144777949" A.ii.1. Underage Marijuana Use Past 30 Days (Grades 6-12)  PAGEREF _Toc144777949 \h 30  HYPERLINK \l "_Toc144777950" B.ii.1. Marijuana Use Past 30 Days (Ages 18 - 64)  PAGEREF _Toc144777950 \h 32  HYPERLINK \l "_Toc144777951" 4. Non-Medical Prescription Drug Use Related Problems  PAGEREF _Toc144777951 \h 33  HYPERLINK \l "_Toc144777952" A.ii.1. Underage Non-Medical Prescription Drug Use Past 30 Days (Grades 6-12)  PAGEREF _Toc144777952 \h 33  HYPERLINK \l "_Toc144777953" B.ii.1. Clients Crossing the Threshold for Buying Prescription Drugs Past Year (All Ages)  PAGEREF _Toc144777953 \h 35  HYPERLINK \l "_Toc144777954" 5. Maines Population Profile:  PAGEREF _Toc144777954 \h 37  HYPERLINK \l "_Toc144777955" 6. Data Limitations and Discussions:  PAGEREF _Toc144777955 \h 39  HYPERLINK \l "_Toc144777956" Reference websites:  PAGEREF _Toc144777956 \h 41  HYPERLINK \l "_Toc144777957" Appendix:  PAGEREF _Toc144777957 \h 42  Acknowledgements The following people should be acknowledged for their contributions to this document: Sandeep Kasat, Associate Research Scientist, PIRE (former Maine SPF SIG Epidemiologist) Kimberly Johnson, Director, OSA Rebecca Matusovich, Prevention Team Manager, OSA Anne Rogers, SPF SIG Coordinator Meredith Fossel, SPF SIG Prevention Specialist Daniel Eccher, SPF SIG Epidemiologist Jo McCaslin, OSA IRC Coordinator Geoff Miller, Prevention Specialist Melanie Lanctot, MYDAUS Coordinator Chris Baumgartner, PMP Coordinator The State Epidemiologic Workgroup: Nancy Birkhimer Liz Depoy Steven Gilson Elaine Hornby David Lambert Barbara Pierce Lisa Remick Marci Sorg Maine State SPF SIG Substance Abuse Assessment and Epidemiological Profile 2005 Introduction: Maines substance abuse epidemiological profile provides an overview of the available substance abuse data/indicators at the state as well as local level. This report is also expected to act as a valuable tool to assist state as well as sub-state level prevention providers in data driven substance abuse prevention planning. The data provided in this report were used by Maines State Epidemiological Workgroup (SEW) in order to provide recommendations to inform state level policy decisions and will be used by sub-state level prevention providers to reach data driven decisions at the county or sub-county level. This report is a fluid document based on currently available data and indicators, and will be updated as Maines SEW explores more data/indicators and their utility in substance abuse prevention planning. Indicators considered for building this report were based on selection criteria specified in Textbox 4, and may not include all substance related data that are available in Maine.  Background: Maine Office of Substance Abuse (OSA) received its Strategic Prevention Framework State Incentive Grant (SPF SIG) from the Substance Abuse and Mental Health Services Administrations (SAMHSA) Center for Substance Abuse Prevention (CSAP) in October 2004. Under the guidance of SPF SIG; OSA established a State Epidemiological Workgroup (SEW) in March 2005. CSAP has identified several principals as the foundation for SPF SIG. Textbox 2 below gives a summary of the guiding principles and goal that CSAP has set.  SHAPE \* MERGEFORMAT  SEW is a network of individuals (OSA and collaborating agencies) who are knowledgeable about and have been working on ATOD (Alcohol, Tobacco and Other Drugs) data and prevention issues in Maine. SEW is responsible for bringing systematic and analytical thinking to prevention decision-making and improving the use of prevention resources by making use of the available substance related data/indicators. SEW identifies epidemiological data needs, gathers and interprets data, and applies data implications to state and sub-state planning, implementation, and ongoing evaluation/monitoring activities. The core functions of the SEW can be found in Textbox 3. SEW started as a subgroup of the existing data group, Community Epidemiological Surveillance Network (CESN); which was set up from the guidelines of the National Institute on Drug Abuse (NIDA) Community Epidemiological Work Group (CEWG). CESN was established by OSA for surveillance and monitoring in Maine. In order to make SEW specific to substance abuse for SPF SIG, SEW underwent expansion to include key data and prevention staff from the Office of Substance Abuse and the Maine Center for Disease Control and Prevention (formerly known as the Bureau of Health), SPF SIG staff (coordinator, epidemiologist, and evaluator), State Advisory Council (SAC) chair, and law enforcement (DEA). Currently SEW has 13 members. During the needs assessment and strategic planning phase the Maine SEW met monthly; fourteen months later the SEW began to meet bimonthly.  The Maine substance abuse epidemiological profile is a working document developed by the SPF SIG Epidemiologist as a product of OSA under the guidance of SEW. This report is expected to act as a living reference document for both OSA and community prevention providers across Maine for data driven decision making. It also provides a baseline snapshot of selected substance abuse indicators, their distribution and data use limitations across Maine, and will help in ongoing evaluation/monitoring of program efforts. However, substance abuse epidemiological data is only one of the important criteria considered by SAC for setting priorities for SPF SIG funding allocation. Other important criteria considered are availability of resources, existing capacity of coalitions, readiness and current infrastructure. SEW Structure and Methods: Needs assessment is a very important step in the SPF, as it helps to set the direction for the SPF SIG initiative. As mentioned earlier, this report is a formal document that will illustrate the process and findings of the SPF SIG needs assessment. It is equally important to clearly demonstrate the approach used for needs assessment as this document is also expected to be used as a reference by Maines communities as they go through the needs assessment step of the SPF. SEW undertook a 5-step approach towards the SPF SIG needs assessment. Inventory of available substance abuse data/indicators Evaluating and selecting indicators for needs assessment Organization and presentation of indicators Generating and prioritization of problem statements I. Inventory of Available Substance Abuse Data/Indicators (AOD only) Tables 1.1 (consequences) and 1.2 (consumption) below provide a list of available substance abuse constructs, indicators, geo-demographic distribution, years of availability, and data sources. Most of the data/indicators presented below were downloaded from State Epidemiological Data System (SEDS) website ( HYPERLINK "http://www.epidcc.samhsa.gov/" http://www.epidcc.samhsa.gov/), which provides in-depth information and justification for using these indicators in needs assessments, their importance and correlation with substance abuse, their eligibility criteria for inclusion and codebooks. Readers are strongly encouraged to peruse all the relevant information on the website before selecting particular indicators. Tables 1.1 and 1.2 also include some state level data sources that can be effectively used to assess and monitor substance abuse need at the state and sub-state levels. Table 1.1: Substance related consequences indicators available: ConstructIndicator(s) availableAvailable demographicsLowest geographic level Years data available Indicator data source**CrimeAssaults, robberies, sexual assaults, larcenies, motor vehicle thefts, burglariesNoneCounty1994-2002UCR (SEDS)InjuryAlcohol involved fatal MV crashes, deaths, and drinking driversAll ages, genderCounty1990-2003FARS (SEDS)MortalityMortality caused by cardiovascular, cerebrovascular, overdose, suicide, homicides, and alcoholic cirrhosis/liver diseases All ages, gender & raceCounty (no demographics)1999-2001NCHS (SEDS)Overdose*Deaths due to substance overdose (non - alcohol)GenderCounty1997-2004Medical Examiner records (State)School-based problemsAOD suspensions and expulsionsGrade K-12, genderSchool 2001-2004Safe and Drug Free schools database (State)Treatment admissionsAOD treatment center admissionsAll ages, genderCounty2000-2004TDS (State)Workplace AOD use at workplace, AOD use affecting workAges 18-64, gender, raceCounty2004MGP (State)*From medical examiner records other than the deaths reported by bureau of vital statistics in NCHS **Source of the data, whether SEDS or State, is given in parenthesis Table 1.2: Substance use (consumption) indicators available: ConstructIndicator(s) availableAvailable demographicsLowest geographic level Years data available Indicator data source**Alcohol usePersons at risk for chronic heavy drinking, drinking and driving, 30-day binge drinking, 30-day alcohol useAges 18+, gender, raceState1994-2004BRFSS (SEDS)Drinking and driving, binge drinking, 30-day use, lifetime use, age of first useGrades 9-12, gender, raceState2005YRBSS (SEDS)15-day binge drinking, 30-day use, lifetime use, age of first use, age of regular useGrades 6-12, gender, raceSchool2000-2004MYDAUS (State)Persons meeting DSM IV criteria for abuseAges 12+State2003-04NSDUH (SEDS)Prescription drug useLifetime use, 30-day useGrades 6-12, gender, raceSchool2000-2004MYDAUS (State)Persons exceeding threshold transactions in past yearAll ages, genderCounty2004-2005PMP (State)Other illicit drug useLifetime and 30-day marijuana useGrades 6-12, gender, raceSchool2000-2004MYDAUS (State)Lifetime and 30-day marijuana useGrades 9-12, gender, raceState2005YRBSS (SEDS)30-day marijuana useAges 12+State2003-04NSDUH (SEDS)30-day marijuana useAges 18-64, gender, raceCounty2004MGP (State)Lifetime and 30-day cocaine, heroine, inhalants, stimulants, MDMA/Ecstasy, LSD, other illegal drugsGrades 6-12, gender, raceSchool2000-2004MYDAUS (State)30-day cocaine useGrades 9-12, gender, raceState2005YRBSS (SEDS)Lifetime MDMA/Ecstasy, heroine, Steroids, MethamphetamineGrades 9-12, gender, raceState2005YRBSS (SEDS) * Information about data source is presented in Table 1 in the Appendices. **Source of the data, whether SEDS or State, is given in parenthesis. II. Evaluating and Selecting Indicators for Needs Assessment After identifying the available data sources/indicators in Maine; the next step is to evaluate them for their eligibility and utility in the SPF SIG needs assessment. The inclusion/exclusion criteria used by Maine SEW are mentioned in textbox 4.  Methamphetamine is included in the Maine Substance Abuse Strategic Plan because of its severe consequences; even though its use does not have a high prevalence in Maine. However, it is not included in this document because no adequate data source meeting the criteria mentioned above is available in Maine at this time. Table 2 lists the constructs/indicators Maine SEW used for SPF SIG needs assessment, their geo-demographic distribution (age, with gender and race/ethnicity used wherever applicable with adequate sample size) and the years indicator data are presented. Note that for consequence data, several years of data was merged together to obtain stable estimates. As mentioned earlier, this report should be viewed as a fluid document as these indicators are based on available data at one point in time, and will be reviewed periodically by SEW for updating when other relevant valid data/indicators become available. Readers are strongly encouraged to keep checking OSAs website for an updated version of this profile from time to time. Table 2: Indicators used for SPF SIG needs assessment: ConstructIndicator(s) usedAge groupGeographic level usedYear(s) indicator data presentedInjuryAlcohol involved fatal MV crashesAges 12 and aboveState, County1999-2003 merged togetherNumber of deaths in alcohol involved fatal MV crashes (ARMVC)All agesState, County1999-2003 merged togetherMortalityHomicide deathsAll agesState, Counties with >100k population1999-2001 merged togetherSuicide deathsAll agesState, Counties with >100k population1999-2001 merged togetherAlcoholic liver cirrhosis/disease deathsAll agesState, Counties with >100k population1999-2001 merged togetherOverdose deathsAll agesState, Counties with >100k population1999-2001 merged togetherOverdose*Overdose deaths (Medical Examiner office reports data)All ages (no breakdown by age group provided)State, County1997-2004 merged togetherWorkplaceAOD use affecting workAges 18-64State, County2004AOD use at workAges 18-64State, County2004Alcohol use15-day binge drinkingGrades 6-12State, County, School200430-day binge drinkingGrades 9-12 State200330-day binge drinkingAges 12+State2003-04 combined estimate30-day binge drinking Ages 18+State200430-day binge drinkingAges 18-64State, County2004Persons at risk for heavy alcohol consumptionAges 18+State2004Persons meeting alcohol dependence criteriaAges 12+State2003-04 combined estimateDrinking and drivingAges 18+State2004Per capita consumptionAges 14+State2002Marijuana use30-day marijuana useGrades 6-12 State, County, School200430-day marijuana useAges 12+State2003-04 combined estimate30-day marijuana useAges 18-64State, County2004Prescription drug use30-day prescription drug useGrades 6-12 State, County, School2004Persons exceeding threshold transactions in past yearAll agesState, County2004 (Fiscal year)* From medical examiner records other than the deaths reported by the Bureau of Vital Statistics in NCHS III. Organizing and Presentation of Indicators Organizing the profile: The Maine SEW considered several approaches for organizing the profile (e.g., by age group, by geo-demographic distribution, by substance type, by substance abuse construct). While no approach can be deemed right or wrong, Maine SEW felt that organizing and presenting the data by substance type would be helpful to better understand the problem as well as to build the SPF SIG logic model for strategic planning and allocation of funds. Organizing by substance is also consistent with the SEWs earlier decision of limiting the profile to the top three most prevalent substances of abuse in Maine (except tobacco). The Maine SEW recognizes that underage drinking is a problem in itself, subsequently; underage AOD use is discussed and presented separately as well for each substance. Selecting indicator dimensions for presentation: The Maine SEW considered an array of indicator dimensions such as count, percent, rate, severity, trend and cost. Presenting indicator data by all of the dimensions mentioned above is beyond the scope of this document and can be exhaustive. Staying focused on needs assessment, the Maine SEW used rates with counts in parenthesis (n) whenever necessary. Starting with state level data for selected dimensions: This report essentially focuses on state level data and uses a drill-down approach to sub-state/county level data whenever possible. Starting with state level data has several advantages: Generates an overview of substance related problems statewide that can be effectively used for prioritization and allocation of funds Generates stable and reliable estimates as compared to sub-state/county level data for drawing valid data driven decisions State level estimates can be used as reference comparisons for sub-state/county level data Ensures Maines SPF SIG goal to reduce substance related problems statewide Demo-geographic Breakdown: Once the data were separated by indicator type the data was then broken down by demographic (age, gender, and race/ethnicity) and geographic (county) subgroups to examine differences. Race/ethnicity and county breakdowns were limited due to sample size issues. There was a constant finding that males have higher rates than females in most substance related problems. The Maine SEW is still evaluating how best to incorporate this finding in prevention planning and programming. This report presents age breakdowns for most indicators, with race/ethnicity and county data presented whenever there was significant sample size available for generating stable estimates. The overall organization of this report is presented below: . SHAPE \* MERGEFORMAT  IV. Generating Problem Statements and Prioritization of Problem Statements Problem statements for each indicator are presented as footnotes at the bottom of each graph or table of the observations. The Maine SEW prioritized the problem statements and made data driven recommendations to SAC for approval. SPF SIG prioritization and funding allocation decisions were a collaborative effort by Maines SEW, the SPF SIG Executive Management Team, and the SPF SIG Project Director; and are beyond the scope of this document. For details on those decisions please refer to Maines Substance Abuse Prevention Strategic Plan. 1. Overview of Substance Related Problems in Maine: The indicators presented in Tables 1.1 through 1.5 below provide an overview of substance related consequences and consumption patterns in Maine. These indicators are taken from different sources and vary by year available (depending upon the source). Maine SEW acknowledges the limitations that may arise when comparing indicators from different sources and different time spans; nonetheless, due to data and indicator availability issues, indicators presented below are the best available estimates for assessing current substance abuse needs in Maine. A. Overview of Substance Related Consequences in Maine Figure 1.1 below presents Maines comparison to US for substance related mortality indicators. Source: FARS (ARMVC), NCHS (Suicide, ALD, Homicide, IDD) Year(s): 2003 (ARMVC), 2001 (Suicide, ALD, Homicide, IDD) Demographic breakdown: N/A Note: There was no national comparison available for certain indicators derived from state data sources. Figure 1.1: Substance Related Mortality Rates (Maine vs. US)  Observation: Maine seems to be higher than US for deaths due to suicide (all causes, not just substance related) Figure 1.2 below presents the overview of deaths due to substance related/involved causes in Maine. Source: FARS (ARMVC), NCHS (Suicide, ALD, Homicide, IDD), Medical Examiner office records Year(s): 2003 (ARMVC), 2001 (Suicide, ALD, Homicide, IDD), 2004 (OD-ME) Demographic breakdown: N/A Note: The average annual # of cases is provided in the parenthesis along with each indicator category. Figure 1.2: Substance Related Mortality Rates*  *Number of cases for each cause of death is provided in parenthesis Observation: Suicide (all causes, not just substance related) and overdose deaths (from medical examiners records) seem to be the leading substance-related causes of death in Maine. (However, according to CDC; out of all suicide deaths only 23% deaths are estimated to be attributable to alcohol use [see CDC web site reference at end of this document]. Medical examiner records data have their limitations as these are post-mortem findings where cause of death is yet to be confirmed.) B. Overview of Substance Consumption Patterns in Maine (ages 12 and older) Figure 1.3 below presents the overview of 30-day self reported substance use for ages 12 and older in Maine and their US comparison. Source: NSDUH Year(s): 2003-2004 combined average Demographic breakdown: N/A Note: No data is available for 30-day non-medical prescription drug use indicator from NSDUH; instead, the past year use estimate is shown below. Figure 1.3: 30-day Substance Use (except PD use) in Maine (Ages 12 and older)  Observation: 30-day alcohol use and binge drinking are the leading self reported substance consumption patterns in Maine for ages 12 and above. Maine has higher percent of population reporting 30-day marijuana and past year prescription drug misuse than the US. C. Overview of Substance Consumption Patterns in Maine (Ages 18 and Older) Figure 1.4 below presents the overview of 30-day self reported substance use for ages 18 and older in Maine along with US comparison. Source: BRFSS (Alcohol use, binge drinking, heavy alcohol use, driving after drunk), Maine Household Survey (Marijuana use) Year(s): 2004 (for both BRFSS and Maine Household Survey) Demographic breakdown: N/A Note: No national comparison data is available for marijuana use among ages 18 and older. Non-medical prescription drug use measure from Maine Household Survey; although available, is not reported due to very low respondent sample size. Figure 1.4: 30-day Substance Use (Ages 18 and older)  Observation: 30-day alcohol consumption and binge drinking are the leading substance abuse patterns reported by ages 18 and older in Maine. D. Overview of substance consumption patterns in Maine (Grades 9-12) Figure 1.5 below presents the overview of self reported past 30-day substance use for grades 9 through12 in Maine along with US comparisons. YRBSS does not collect data on most of the substance use indicators for middle school students (Grades 6- 8). Source: YRBSS (Alcohol use, binge drinking, marijuana use, drinking and driving), MYDAUS (non-medical prescription drug use) Year(s): 2005 (YRBSS), 2004 (MYDAUS) Demographic breakdown: N/A Note: For non-medical prescription drug use, MYDAUS data is presented below because YRBSS does not collect data on this indicator. No national comparison is available for 30 day non-medical prescription drug use. Figure 1.5: 30-day Substance Use (Grades 9 -12)  Observation: Binge drinking is the leading substance abuse pattern reported by grades 6-12. Almost 1 in 4 High school students report binge drinking. After reviewing data presented in Figures 1.1 through 1.5; alcohol use and its related problems clearly emerge as a priority followed by marijuana and prescription drug use. Indicators presented in Figures 1.1 through 1.5 are mostly derived from national data sources (whenever available) and help in assessing the statewide burden of substance related problems in Maine. In order to set priorities for prevention planning, it is also significant to assess the distribution of these problems at sub-state level. While generating sub-state estimates from substance related consequences data is relatively easy, it has been generally observed that national surveys do not generate (or provide) valid sub-state level estimates in Maine due to low sample size. For better understanding the distribution of substance use (consumption) at the sub-state level, state level surveys that meet the validity criteria discussed earlier (Textbox 4) were used for profiling. Detailed profiling of problems associated with alcohol, marijuana and non-medical use of prescription drugs are discussed separately in the subsequent sections of this report. 2. Alcohol Related Problems A.ii.1. Underage Binge Drinking Past 2 Weeks (Grades 6-12) Figure 2.1a shows the percent of students reporting binge drinking one or more times in the past 2 weeks for grades 6-12 in Maine. MYDAUS data is used as YRBSS does not collect data on most of the substance use indicators for middle school students (Grades 6- 8) and it also does not provide regional or county level breakdowns. MYDAUS (2004) is a survey of almost 56000 grade 6 12 students in Maine that provides reliable estimates at county, school district and school level. Source: MYDAUS Year(s): 2004 Demographic breakdown: Grade (Age), Gender, Race/Ethnicity, County Note: MYDAUS question about binge drinking refers to past 2 weeks instead of usual past 30-day measure. Grade breakdown of middle school vs. high school population is used instead of age groups. Figure 2.1a: Past 2-weeks Binge Drinking by Demographics (Grades 6 12)  Observations: Percent of high school students (grades 9-12) reporting binge drinking is significantly higher than middle school students (grades 6-8). Males have higher binge drinking rates than females. Spanish/Hispanics and African Americans have higher binge drinking rates than other race/ethnicity groups. For the high risk population from Figure 2.1a (grades 9-12), further county level breakdown is provided in Figure 2.1b. Figure 2.1b: Past 2-weeks Binge Drinking by county (Grades 9-12)  Observation: Franklin, Lincoln, Knox, and Waldo counties have higher percents of 9 12th grade students reporting binge drinking than the rest of the counties. A.ii.2. Underage Drinking and Driving Past 30 Days (Grades 9-12) Figure 2.3 presents the percent of students reporting driving a vehicle after drinking one or more times in past 30-days for grades 9-12 in Maine. YRBSS does not collect data for this question for grades 6 8. MYDAUS does not collect data for drinking and driving. Source: YRBSS Year(s): 2005 Demographic breakdown: Grade (age), Gender Note: YRBSS does not provide county level data. There is no other data source for this indicator at the county level. Race/ethnicity breakdown is not shown as the overall respondent sample size was too low to generate stable estimates at those subgroup levels. Figure 2.2: Past 30-day Prevalence of Drinking and Driving (grades 9 12)  Observation: The percentage of students who reported drinking and driving in the past 30 days is highest among 12th grade students. Males have significantly higher rates of drinking and driving than females. B.i.1. Alcohol Related Mortality (All ages) B.i.1.a. Suicide Death Rate Annual Average Figure 2.4 presents average annual number of deaths due to suicide per 100,000 people. To generate a stable estimate, an average annual rate was calculated by merging together three years of data (1999-2001). Individuals engaging in substance abuse are more likely to attempt suicide. Source: NCHS Year(s): 1999-2001 merged Demographic breakdown: Age, Gender, no race/ethnicity data available Note: Although NCHS provides county level data, there are no county level data for 11 of the 16 counties in Maine. NCHS does not provide separate data for counties having with less than 100K population. The average annual # of cases is provided in the parenthesis along with each demographic category. Figure 2.3: Average Annual* Incidence Rate of Suicide by Demographics  *Average annual number of cases (3yr data averaged) for each subgroup is provided in parenthesis. Note that numbers may not add up to the total as this is annual average from 3-yr data merged together. Observation: The highest incidence rate of suicide in Maine occurs in the 30 to 34 year old age group. The 35 to 54 year old age group, however, has the highest number of suicide cases, which is due to this age group having a larger population size. Suicide rates are significantly higher in males than females. B.i.1.b. Alcoholic Liver Disease Death Rate Annual Average Figure 2.5 presents the average annual number of deaths due to alcoholic liver diseases per 100,000 people. To generate stable estimate, an average annual rate was calculated by merging together three years of data (1999-2001). Source: NCHS Year(s): 1999-2001 merged Demographic breakdown: Age, Gender, no race/ethnicity data available Note: Although NCHS provides county level data, there are no county level data for 11 of the 16 counties in Maine. NCHS does not provide separate data for counties having with less than 100K population. The average annual # of cases is provided in the parenthesis along with each demographic category. Data for ages 35 and above is presented as there are no deaths due to alcoholic liver diseases in the younger age group (under 35). Figure 2.4: Average Annual* Incidence Rate of Alcoholic Liver Diseases by Demographics  *Average annual number of cases (3yr data averaged) for each subgroup is provided in parenthesis. Note that numbers may not add up to the total as this is annual average from 3-yr data merged together. Observation: The oldest age groups (55 to 64 and 65 and older) have the highest incidence rates of alcoholic liver diseases, which would be expected due to more years of abuse typically. The 35-54 year age group has the highest number of cases due to having a larger population base. Alcoholic liver disease rate is significantly higher in males than females. B.i.2. Alcohol Related Traffic Fatality Annual Average (All Ages) Figure 2.6 presents the average annual number of deaths due to alcohol involved traffic fatalities per 100,000 people. To generate stable estimate, an average annual rate was calculated by merging together five years of data (1999-2003). Source: FARS Year(s): 1999-2003 merged Demographic breakdown: Age, Gender, County, no race/ethnicity data available Note: The average annual number of cases is provided in parentheses along with each demographic category. Figure 2.5a: Average Annual* Incidence Rate of Alcohol-involved Traffic Fatalities by Demographics  *Average annual number of cases (5yr data averaged) for each subgroup is provided in parenthesis. Note that numbers may not add up to the total as this is annual estimate from 5-yr data merged together. Observations: The 21 to 29 age group has the highest rate of alcohol involved traffic fatalities. In Maine, males are approximately three times more likely to die in alcohol involved traffic crashes compared to females. Even though the 21 to 29 year age group has the highest incidence rate in the state for alcohol involved traffic fatalities, the actual number of cases is not enough to provide a county level breakdown for the high risk group. County level rates for total alcohol involved traffic fatalities is presented in Figure 2.6b instead. Figure 2.5b: Average Annual* Incidence Rate of Alcohol-involved Traffic Fatalities by county  *Average annual number of cases (5yr data averaged) for each county is provided in parenthesis. Note that numbers may not add up to the total as this is annual estimate from 5-yr data merged together. Observations: Franklin, Washington and Lincoln counties have higher rates but low numbers of traffic fatalities. The southernmost counties (Cumberland, York) have the highest number of traffic fatalities and are responsible for 33% of the total traffic fatalities in state. B.i.3. Alcohol related workplace problems past year (Ages 18 to 64) Figure 2.7 presents the percent of adults (18 to 64) reporting feeling effects of alcohol use one or more times and/or using alcohol one or more time at work during past 12 months in Maine. Source: Maine Household Survey (MGP) Year(s): 2004 Demographic breakdown: Age, Gender Note: Race/ethnicity and county breakdowns are not shown as the overall respondent sample size was too low to generate stable estimate at those subgroup levels. Figure 2.6: Alcohol Related Workplace Problems (Ages 18-64)  Observations: A higher percent of males report feeling the effects of alcohol as well as actual use of alcohol at the workplace in past 12 months among those ages 18 to 64 B.ii.1. Binge Drinking Past 30 Days (Ages 18 to 64) Figure 2.8 presents the percent of adults (18 to 64) in Maine reporting binge drinking one or more times during the past 30 days. BRFSS does not provide county level data and has sample size issues for some demographic breakdowns. Maine Household Survey follows similar survey design and methodology as BRFSS and generates stable sub-state estimates. Source: Maine Household Survey (MGP) Year(s): 2004 Demographic breakdown: Age, Gender Note: Race/ethnicity and county breakdowns are not shown as the overall respondent sample size was too low to generate stable estimate at those subgroup levels. Figure 2.7: Binge Drinking by Demographics (Ages 18 to 64)  Observations: The 18 to 25 age group has the highest reported binge drinking rate as compared to all other age group. A significantly higher percent of males report binge drinking as compared with females. B.ii.2. Heavy Average Daily Use of Alcohol Past 30 Days (Ages 18 and Above) Figure 2.9 presents the percent of adults (18 and older) in Maine exceeding recommended daily average consumption of alcohol (2 drinks for males and 1 for females) in the past 30 days. This indicator is a quantity/frequency calculated variable and includes those for whom the calculated average daily consumption exceeds the recommended amount in past 30 days. This variable includes most of the people who report frequent binge drinking. Maine Household Survey does not collect information on this indicator. Source: BRFSS Year(s): 2004 Demographic breakdown: Age, Gender, no county level data in BRFSS Note: Race/ethnicity breakdown is not shown as the overall respondent sample size was too low to generate stable estimate by those subgroups. Figure 2.8: Heavy Average Daily Use of Alcohol by Demographics (Ages 18 to 64)  Observations: A higher percent of the 18 to 24 age group reported heavy average daily alcohol use than the rest of the age groups. A larger proportion of males report heavy average daily use of alcohol as compared with females. 3. Marijuana Related Problems A.ii.1. Underage Marijuana Use Past 30 Days (Grades 6-12) Figure 3.1a presents the percent of students in Maine reporting using marijuana one or more times in the past 30 days for grades 6-12. MYDAUS data is used as YRBSS does not collect data on most of the substance use indicators for middle school students (Grades 6- 8) and it also does not provide regional or county level breakdowns. MYDAUS (2004) is a survey of almost 56,000 grade 6 12 students in Maine that provides reliable estimates at county, school district and school level. Source: MYDAUS Year(s): 2004 Demographic breakdown: Grade (age), Gender, race/ethnicity, County Note: Grade breakdown of the middle school versus high school population is used instead of age groups. Figure 3.1a: 30-day Marijuana Use by Demographics (grades 6 -12)  Observations: The percent of high school students (grades 9-12) reporting marijuana use is significantly higher than middle school students (grades 6-8). A significantly higher percent of males than females report using marijuana in past month. Spanish/Hispanics and African Americans report higher marijuana use than other race/ethnicity groups. For the high risk population from Figure 3.1a (grades 9-12), further county level breakdown is provided in Figure 3.1b. Figure 3.1b: 30-day Marijuana Use by County (Grades 9-12)  Observation: Knox, Lincoln and Waldo counties have higher rates of high school students (grades 9-12) reporting marijuana use than the rest of the counties. B.ii.1. Marijuana Use Past 30 Days (Ages 18 - 64) Figure 3.2 presents the percent of adults (18 to 64) in Maine reporting using marijuana one or more times during the past 30 days. This indicator is not available from BRFSS. Maine Household Survey follows similar survey design and methodology as BRFSS and generates stable sub-state estimates. Source: Maine Household Survey (MGP) Year(s): 2004 Demographic breakdown: Age, Gender Note: Race/ethnicity and county breakdowns are not shown as the overall respondent sample size was too low to generate stable estimate at those subgroup levels. Figure 3.2: 30-day Marijuana Use by Demographics (Ages 18-64)  Observations: The 18 to 20 age group has the highest reported marijuana use rate as compared to all other age groups. A higher percent of males report marijuana use as compared with females. 4. Non-Medical Prescription Drug Use Related Problems A.ii.1. Underage Non-Medical Prescription Drug Use Past 30 Days (Grades 6-12) Figure 4.1a presents the percent of students reporting non-medical use of prescription drugs one or more times in the past 30 days for grades 6-12 in Maine. This indicator is not available from YRBSS. MYDAUS (2004) is a survey of almost 56,000 grade 6 12 students in Maine that provides reliable estimates at county, school district and school level. Source: MYDAUS Year(s): 2004 Demographic breakdown: Grade (age), Gender, race/ethnicity, County Note: Grade breakdown of middle-school versus. High-school population is used instead of age groups. Figure 4.1a: 30-day Non-Medical Prescription Drug Use by Demographics (Grades 6-12)  Observations: The percent of high school students (grades 9-12) reporting non-medical prescription drug use is significantly higher than middle school students (grades 6-8). The prescription drug use rate is not significantly different for males and females; although, it is slightly higher for females. Spanish/Hispanics report higher non-medical prescription drug use rates than other race/ethnicity groups. Further county level breakdown for the high risk population (grades 9-12) is provided in Figure 4.1b. Figure 4.1b: 30-day Non-Medical Prescription Drug Use by County (Grade 9-12)  Observation: Waldo, Somerset and Knox counties have higher proportions of high school students (grades 9-12) reporting non-medical prescription drug use than other Maine counties. B.ii.1. Clients Crossing the Threshold for Buying Prescription Drugs Past Year (All Ages) Figures 4.2a & 4.2b present the number of clients/patients crossing the threshold for buying narcotics and tranquilizers per 100,000 people during the last fiscal year in Maine. The Prescription Monitoring Program (PMP) collects data from pharmacies on all prescription drug transactions across Maine; for the purpose of tracking and monitoring prescription drug abusers and doctor/pharmacy shoppers. The threshold is considered a red flag for possible abuse of prescription drugs and is based on how often certain types of prescriptions are filled. Information collected through the program is shared with doctors, pharmacists and other key personnel to help prevent drug misuse/abuse. Source: Prescription Monitoring Program (PMP) data Year(s): 2004 (fiscal year) Demographic breakdown: Age, Gender, No race/ethnicity data collected Note: County breakdowns for clients/patients are not shown to ensure confidentiality of pharmacy clients/patients. The actual # of clients is provided in the parenthesis along with each demographic category. Figure 4.2a: Clients/Patients Crossing Threshold for Narcotics  *Number of clients is provided in parenthesis for each subgroup. Observations: The 25 to 34 age group has the highest number of clients/patients per 100,000 people crossing threshold for buying narcotics. Females comprise a significantly higher number of narcotics buying clients/patients per 100,000 people than males. Figure 4.2b: Clients/Patients Crossing Threshold for Tranquilizers  *Number of clients is provided in parenthesis for each subgroup. Observations: The 35 to 44 age group has the highest number of clients/patients per 100,000 crossing the threshold for buying narcotics. Females comprise a significantly higher number of tranquilizer buying clients/patients per 100000 people than males. 5. Maines Population Profile: Demographic fast facts: Population of Maine in 2000: 1,277,286 (Source: US Census, 2000) Counties: 16 Land Area: 33,215 square miles Length of coastline: 3,500 miles Persons per square mile: 41.3 Largest city: Portland State capitol: Augusta Figure 5.1 Maines Population by Age  SHAPE \* MERGEFORMAT  Observations: 56% of Maines population is above age 35 with 14% being ages 65 and over. Graph 5.2 Maines population by race  SHAPE \* MERGEFORMAT  Observations: 97% of Maines population is white, very little population diversity relative to other states. Out of the 3% other race population, 29% is Asian/Pacific Islander, 23% is African American, 26% is Hispanic, and 22% is Native American. Graph 5.3 Maines population by county  SHAPE \* MERGEFORMAT  Observations: 36% of Maines population lives in the two southernmost counties, Cumberland and York. 11 of the 16 counties in Maine have a population of less than 100,000. The 5 most populous counties of Maine (Cumberland, York, Penobscot, Kennebec, and Androscoggin) have 64% of the states resident population. Aroostook is the largest county (by land area) in Maine, yet it is home to just 6% of Maine residents. 6. Data Limitations and Discussions: It is important to remind the readers that this report is based on SPF SIG needs assessment process and excludes indicators that SEW did not consider for the process. This report predominantly focuses on state level data and problems. Assessing problems at the sub-state or individual county/community level is beyond the scope of this report. Apart from limitations that may arise due to the decisions mentioned above, there are certain data/analysis limitations. Low sample size issues: Due to Maine having such a small population size, the majority of the indicators (especially consequence indicators) did not have a large enough number of cases to generate stable estimates. This problem was more prominent at sub-state level rather than at the state level. State level survey data had adequate numbers to generate at least stable demographic subgroups estimates; however, subgroup analysis was generally not possible with national data sources like NSDUH and BRFSS. SEW explored merging several years of data together to generate stable estimates, but even this approach did not work for certain counties with very low population. Lack of stable estimates can lead to misleading results and should be used with caution. Data availability: Maine focused on a lifespan approach as it was one of the requirements of SPF SIG. There were certain limitations in Maine regarding the availability of data for certain age groups. Maine has good state and sub-state data for the school-age population because of its biennial school-wide state survey. National surveys have validity and periodicity, but do not generate stable estimates for certain population like county, elderly (64 and above), and minorities. The Maine Household Survey solves the indicator stability problem to a certain degree, but its use is limited as it is only available for one year (2004). State versus national data sources: There are both state and national level source for some indicators used in this profile. While state level survey data has a large enough population size to generate sub-state/county level estimates, the data are program specific and its availability and quality depends hugely upon availability of program funds. Survey data from national sources is consistent, periodic and methodologically similar from year to year; but it can only generate state level estimates and does not go beyond state level to generate county/local level estimates. The same indicator estimate generated from these two different sources may vary significantly due to different methodological approaches and sample size issues. SEW carefully weighed the above mentioned issues before selecting a particular source for generating indicator estimates. Population Density: As evident from Graph 5.3 above, 64% of Maines population lives in 5 counties. The majority of Maines population resides in the southern part of the state and is located in or around 3 MSAs (Portland, Lewiston-Auburn, and Bangor), with the remaining population being predominantly rural. This disproportionate distribution of population leaves 11 of the 16 Maine counties with a population less than 100,000. Some of the data sources (NCHS) do not report data for counties with a population under 100,000 for confidentiality reasons; hence, there are no separate data on 11 of the 16 Maine counties for certain indicators. Trend data: This report does not include any trend data for indicators. For consequences, the trend data are not shown due to low annual prevalence that generates unstable and fluctuating estimates. SEW used annualized averages created by merging three or five years of data together to generate stable estimates. For MYDAUS, even though the survey consistently had enough respondents for generating stable numbers, there were methodological issues (e.g., change in questionnaire for certain substances, sample selection issues) which limited the use of trend data. Trends from national survey data varied by subgroups (different trends by gender, age, and race) and failed to generate any consistent message across subpopulations. Unit of Subgroup Analysis: For the reasons mentioned above, county breakdown was not able to be considered as a unit of sub-group analysis. Instead, Maine used age breakdowns as the predominant unit of subgroup analysis. There were several advantages of this approach. First, it generated stable estimates from both consumption and consequence data as age breakdowns almost always had sufficient numbers. Second, it was easier to generate and compare age breakdowns since the majority of indicator data (e.g., national survey, consequences) is broken down by age group. Third, it then becomes easier to apply evidence based environmental strategies, which have typically been designed to target specific age groups. Reference websites: ARDI index:  HYPERLINK "http://apps.nccd.cdc.gov/ardi/Homepage.aspx" http://apps.nccd.cdc.gov/ardi/Homepage.aspx State Epidemiological Data System (SEDS)  HYPERLINK "http://www.epidcc.samhsa.gov/" http://www.epidcc.samhsa.gov/ BRFSS:  HYPERLINK "http://www.cdc.gov/BRFSS/" http://www.cdc.gov/BRFSS/ YRBSS:  HYPERLINK "http://www.cdc.gov/HealthyYouth/yrbs/index.htm" http://www.cdc.gov/HealthyYouth/yrbs/index.htm NSDUH:  HYPERLINK "https://nsduhweb.rti.org/" https://nsduhweb.rti.org/ OSA:  HYPERLINK "http://www.maine.gov/dhhs/osa/" http://www.maine.gov/dhhs/osa/ Appendix: Table 1: Abbreviations used Abbreviation Name/LabelAODAlcohol and Other DrugsATODAlcohol, Tobacco and Other DrugsBRFSSBehavior and Risk factor Surveillance SystemCDCCenter for Disease Control and PreventionFARSFatality Analysis Reporting SystemMGPMaine General Population Household SurveyMYDAUSMaine Youth Drug and Alcohol Use SurveyNCHSNational Center for Health StatisticsNIAAANational Institute on Alcohol Abuse and AlcoholismNSDUHNational Survey on Drug Use and HealthOSAMaine Office of Substance AbusePMPPrescription Monitoring ProgramSEDSState Epidemiological Data SystemsSDFSSafe and Drug Free Schools UCRUniform Crime ReportsYRBSSYouth Risk Behavior Surveillance System Table 2: Detailed information for datasets Abbreviation usedDataset/ database nameSource (N = national S = state)Dataset/ database typeData collection timeContains indicators aboutReference/websiteComments, if anyBRFSSBehavior and Risk Factor Surveillance SystemCDC (N)Telephone SurveyYear roundHealth risks (ages 18+) HYPERLINK "http://www.cdc.gov/brfss/" http://www.cdc.gov/brfss/ Dataset part of SEDS. Contains ATOD use information as a section.FARSFatality Analysis Reporting SystemDepartment of Transportation (N)Database for fatal crashesYear roundAlcohol involved fatal crashes (all ages) HYPERLINK "http://www.epidcc.samhsa.gov/default.asp" http://www.epidcc.samhsa.gov/default.asp Dataset part of SEDS.MGPMaine General Population Household SurveyOSA (S)Telephone SurveyAug/Sept 2004ATOD use (ages 18-64) HYPERLINK "http://mainegov-images.informe.org/dhhs/bds/osa/pubs/data/2004/genpop04exec.pdf" http://mainegov-images.informe.org/dhhs/bds/osa/pubs/data/2004/genpop04exec.pdf Recent data only for year 2004 (previously done in 1997).MYDAUS/YTSMaine Youth Drug and Alcohol Use Survey/Youth Tobacco SurveyOSA (S)Classroom written surveyOnce every two years (February)ATOD use (grades 6th-12th) HYPERLINK "http://www.maine.gov/dhhs/bds/osa/data/mydaus/" http://www.maine.gov/dhhs/bds/osa/data/mydaus/ Dataset has extensive information about ATOD use.NCHSNational Center for Health StatisticsCDC (N)Vital statistics databaseYear roundMortality all causes (all ages) HYPERLINK "http://www.cdc.gov/nchs/" http://www.cdc.gov/nchs/ Dataset part of SEDS. NSDUHNational Survey on Drug Use and HealthSAMHSA (N)Telephone surveyYear roundATOD use and mental health (ages 12+) HYPERLINK "https://nsduhweb.rti.org/" https://nsduhweb.rti.org/ Dataset part of SEDSPMPPrescription Monitoring ProgramOSA (S)Prescription drug tracking databaseYear roundPrescription drug dispensation monitoring (All ages)Maine office of Substance Abuse Schedule II-IV drug transactions reported to state by pharmacists to comply with state lawSDFSSafe and Drug Free SchoolsOSA (S)Incidence and prohibited behaviors databaseYear roundSchool suspensions/expulsions (grades K-12th)Maine office of Substance Abuse (this indicator report is not online)Collected as a part of federal requirement. Data not for public use.SEDSState epidemiological data systemsSAMHSA/ CSAP (N)Database of ATOD consumption and consequence datasets Depends on the dataset sourceATOD consumption and consequences (depends on data source) HYPERLINK "http://www.epidcc.samhsa.gov/default.asp" http://www.epidcc.samhsa.gov/default.aspDatabase contains ATOD consumption and consequence data, indicator list, codebook, and relevant ATOD information.UCRUniform Crime ReportsFBI (N)Database of all reported crimeYear roundCrime (all ages) HYPERLINK "http://www.fbi.gov/ucr/ucr.htm" http://www.fbi.gov/ucr/ucr.htm Dataset part of SEDS. UCR does not collect information about ATOD involvement.YRBSSYouth Risk Behavior Surveillance SystemCDC (N)Classroom written surveyOnce every two years (Spring semester)Risk taking behavior (7th 12th graders) HYPERLINK "http://www.cdc.gov/HealthyYouth/yrbs/index.htm" http://www.cdc.gov/HealthyYouth/yrbs/index.htm Dataset part of SEDS. Contains ATOD use information as a section.  Eaton, DK, Kann L, Kinchen S, et al. (2006, June 9) Youth Risk Behavior Surveillance System-U.S. 2005. MMWR 2006:55(No SS-05):1.        PAGE 44  Last Update 8/31/2006 Textbox 1: Substance abuse epidemiological profile expectations Provide overview of: Substance abuse constructs, datasets and indicators available in Maine Maine SEW needs assessment process and findings SEW indicator selection criteria for SFP SIG needs assessment Problem statements arising from disparities in demographic/geographic distribution for indicators at state level Limitations of data use Next steps (e.g., data follow-up, quality improvement) Textbox 2: The Center for Substance Abuse and Prevention Goals and Guiding principles and the SPF SIG: Overall goal: To prevent the onset and reduce the progression of substance abuse across the lifespan by taking a public-health approach Guiding principles: Substance abuse prevention should be integrated with other health prevention and wellness promotion activities. Maines substance abuse system should be data-driven, from the identification of problems and priorities, to monitoring and surveillance, to evaluating outcomes. Communities should be full partners in this initiative, and given flexibility in how they develop their substance abuse prevention infrastructure. Textbox 3: Core functions of the Maine SEW Guide the SPF SIG epidemiologist in preparing the epidemiological profile. Use available epidemiological data for state and sub-state level needs assessment. Identify priority population(s) based on needs assessment, existing knowledge and research. Recommend data driven priorities to the SAC. Refine and update findings as new substance related data/indicator(s) become available. Act as data support for communities in collaboration with the Prevention Centers of Excellence, SPF SIG evaluators and other groups. Textbox 4: Selection criteria for data/indicator selection No tobacco related data are included as another state agency is responsible for all tobacco/cigarette use prevention activities. The data source is valid, reliable, unbiased and representative of the statewide population. This is especially true for state/sub-state level data, as datasets in SEDS already meet these eligibility criteria. Periodic collection of data can be done for monitoring and evaluation. Adequate sample size (for survey data) to generate stable estimates, at least at the state level. Several years of data were merged in some instances to obtain stable estimates. The indicator is specific to needs assessment, i.e., indicator reflects the underlying substance abuse need of the population. (e.g., crime/arrests may reflect the response rather than need; treatment center admission may be a better measure of capacity than need). For consequence indicators, underlying substance related problem behavior can be readily estimated through evidence (research and/or data). For consumption data, this profile only includes top three most prevalent substances (other than tobacco) in Maine, namely, alcohol, marijuana and prescription drugs. Textbox 5: Organization of the data Overview of substance related problems in Maine Overview of substance related consequences in Maine (all ages) Overview of substance consumption patterns in Maine (ages 12 and above) Overview of substance consumption patterns in Maine (ages 18 and above) Overview of substance consumption patterns in Maine (Grades 9-12) Alcohol related problems Grades 6 -12 No significant consequence data available Underage drinking Binge drinking past 2 weeks Drinking and driving past 30 days All ages Consequences Mortality Traffic fatalities Workplace problems Consumption Binge drinking past 30 days Heavy average daily use of alcohol past 30 days Numbers too small for drunken driving subgroup analysis. Marijuana related problems Grades 6 -12 No significant consequence data available Underage marijuana use Marijuana use past 30 days All ages No significant consequence data available Consumption Marijuana use past 30 days Non-medical prescription drug use related problems Grades 6 -12 No significant consequence data available Underage non-medical prescription drug use Non-medical prescription drug use past 30 days All ages Consequences Mortality overdose deaths (Waiting for demographic breakdowns and further details from the Medical Examiners Office) Consumption Clients/patients above threshold for buying prescription drugs past year Ages 0 thru 11 15% Ages 12 thru 20 13% Ages 21 thru 29 10% Ages 30 thru 34 7% Ages 35 thru 54 31% Ages 55 thru 64 10% Ages 65 and over 14% Others 3% White 97% Androscoggin 8% Aroostook 6% Cumberland 21% Franklin 2% Hancock 4% Kennebec 9% Knox 3% Lincoln 3% Oxford 4% Penobscot 11% Piscataquis 1% Sagadahoc 3% Somerset 4% Waldo 3% Washington 3% York 15%   /FQƸƸreSFS=h mHnHuh 5CJOJQJaJ"jh 5CJOJQJUaJhNq5CJOJQJaJh6$5CJOJQJaJh5CJOJQJaJh 5CJOJQJaJ hy[lh /CJOJQJ^JaJh /CJOJQJ^JaJh /CJHOJQJ^JaJH hy[lh /CJHOJQJ^JaJHhy[lh /5CJHaJHh /5CJHaJH%jh /5CJHUaJHmHnHuGLMNOPQRSTUVN  #  #  # $a$gd*$a$gd /$a$gd /:     , - . H I J K L M N O P l m n o z { | ߼eT jwhaKUmHnHu2jh haK>*B*UmHnHphu j}haKUmHnHujh UmHnHuh mHnHu#hkh 0JOJQJmHnHu2jh haK>*B*UmHnHphuh mHnHuhkh 0JmHnHu$jhkh 0JUmHnHu     ^ _ ` z { | } ~  ߼eT jkhaKUmHnHu2jh haK>*B*UmHnHphu jqhaKUmHnHujh UmHnHuh mHnHu#hkh 0JOJQJmHnHu2jh haK>*B*UmHnHphuh mHnHuhkh 0JmHnHu$jhkh 0JUmHnHu q u } rgWgqQAs= #  #  #      N O P j k l n o p q ߼eT j_haKUmHnHu2jh haK>*B*UmHnHphu jehaKUmHnHujh UmHnHuh mHnHu#hkh 0JOJQJmHnHu2jh haK>*B*UmHnHphuh mHnHuhkh 0JmHnHu$jhkh 0JUmHnHu q r s     R S T n o p r s t u ߼eT jShaKUmHnHu2jh haK>*B*UmHnHphu jYhaKUmHnHujh UmHnHuh mHnHu#hkh 0JOJQJmHnHu2jh haK>*B*UmHnHphuh mHnHuhkh 0JmHnHu$jhkh 0JUmHnHu u v w    Z [ \ v ߼eS#hkh 0JOJQJmHnHu2jh haK>*B*UmHnHphu jMhaKUmHnHujh UmHnHuh mHnHu#hkh 0JOJQJmHnHu2jh haK>*B*UmHnHphuh mHnHuhkh 0JmHnHu$jhkh 0JUmHnHuv w x z { | } ~       )*+,pqr¹«n¹«T2j h haK>*B*UmHnHphu jA haKUmHnHu#hkh 0JOJQJmHnHu2j h haK>*B*UmHnHphuhkh 0JmHnHuh mHnHu$jhkh 0JUmHnHuh mHnHujh UmHnHu jG haKUmHnHu OPQk¹«n¹«T2j h haK>*B*UmHnHphu j5 haKUmHnHu#hkh 0JOJQJmHnHu2j h haK>*B*UmHnHphuhkh 0JmHnHuh mHnHu$jhkh 0JUmHnHuh mHnHujh UmHnHu j; haKUmHnHu klmopqrstDEF`¹«n¹«T2jh haK>*B*UmHnHphu j)haKUmHnHu#hkh 0JOJQJmHnHu2j h haK>*B*UmHnHphuhkh 0JmHnHuh mHnHu$jhkh 0JUmHnHuh mHnHujh UmHnHu j/ haKUmHnHu `abdefghi456P¹«n¹«T2jh haK>*B*UmHnHphu jhaKUmHnHu#hkh 0JOJQJmHnHu2jh haK>*B*UmHnHphuhkh 0JmHnHuh mHnHu$jhkh 0JUmHnHuh mHnHujh UmHnHu j#haKUmHnHu PQRTUVWXYuvwxDEF`¹«n¹«T2jh haK>*B*UmHnHphu jhaKUmHnHu#hkh 0JOJQJmHnHu2jh haK>*B*UmHnHphuhkh 0JmHnHuh mHnHu$jhkh 0JUmHnHuh mHnHujh UmHnHu jhaKUmHnHu `abdefghiNOPj¹«n¹«T2jh haK>*B*UmHnHphu jhaKUmHnHu#hkh 0JOJQJmHnHu2jh haK>*B*UmHnHphuhkh 0JmHnHuh mHnHu$jhkh 0JUmHnHuh mHnHujh UmHnHu j haKUmHnHu jklnopqrs./0J¹«n¹«T2jvh haK>*B*UmHnHphu jhaKUmHnHu#hkh 0JOJQJmHnHu2j|h haK>*B*UmHnHphuhkh 0JmHnHuh mHnHu$jhkh 0JUmHnHuh mHnHujh UmHnHu jhaKUmHnHu JKLNOPQRSopqr :¹«n¹«T2jjh haK>*B*UmHnHphu jhaKUmHnHu#hkh 0JOJQJmHnHu2jph haK>*B*UmHnHphuhkh 0JmHnHuh mHnHu$jhkh 0JUmHnHuh mHnHujh UmHnHu jhaKUmHnHu :;<>?@ABC_`abPQRl¹«n¹«T2j^h haK>*B*UmHnHphu jhaKUmHnHu#hkh 0JOJQJmHnHu2jdh haK>*B*UmHnHphuhkh 0JmHnHuh mHnHu$jhkh 0JUmHnHuh mHnHujh UmHnHu jhaKUmHnHu lmnpqrstu6¹«n¹«T2jRh haK>*B*UmHnHphu jhaKUmHnHu#hkh 0JOJQJmHnHu2jXh haK>*B*UmHnHphuhkh 0JmHnHuh mHnHu$jhkh 0JUmHnHuh mHnHujh UmHnHu jhaKUmHnHu 678:;<=>?[\]^qrs¹«n¹«T2jFh haK>*B*UmHnHphu jhaKUmHnHu#hkh 0JOJQJmHnHu2jLh haK>*B*UmHnHphuhkh 0JmHnHuh mHnHu$jhkh 0JUmHnHuh mHnHujh UmHnHu jhaKUmHnHu =NHn.8FTh^hgdN5@h^hgd /h^hgd0$a$gd* # Nmnpy¹sf\f\f\OsOsEhdROJQJaJhdRhdROJQJaJh /OJQJaJhdRh /OJQJaJhdRh0OJQJaJhdR5CJOJQJaJh05CJOJQJaJh6$5CJOJQJaJ"jh 5CJOJQJUaJh mHnHu$jhkh 0JUmHnHuh mHnHujh UmHnHu jhaKUmHnHu.FTab쾱zm`P`Pm``h rhC:5CJOJQJaJh*5CJOJQJaJhq5CJOJQJaJh*S5CJOJQJaJh95CJOJQJaJh rh*5CJOJQJaJhdR5CJOJQJaJh05CJOJQJaJh5CJOJQJaJhdRhN5@OJQJaJhN5@OJQJaJh /OJQJaJhdROJQJaJh0OJQJaJTbq}:;^_gd0gd*$a$gd r$a$gd*h^hgd0h^hgdN5@ -.SXY^ghmq·zrjjbWObGh37OJQJhBOJQJh rhSOJQJhKGOJQJhFOJQJh.dOJQJh^qsOJQJh>~OJQJh rhC:OJQJh rh2*OJQJh.he5OJQJhdRh0OJQJhdRh*OJQJh rh*OJQJh rOJQJh rh*5CJOJQJaJh*5CJOJQJaJh*5CJOJQJaJ89:;>C\`a#ABL\]_cn·ʬʙʷՉʤʬyqeYeh"h>*OJQJh"hS>*OJQJh OJQJh"OJQJhA2MOJQJhOJQJhxrOJQJh rhxrOJQJh8,OJQJh rh**OJQJh rhSOJQJhcgOJQJh rh2*OJQJh37OJQJhuOJQJhcOJQJh*h*OJQJh*OJQJ ,-i͵zogUMh4]2OJQJ"jh4]2OJQJUmHnHuh^qsOJQJh>h$OJQJh>h>OJQJh>hOJQJh>OJQJh OJQJh*>*OJQJh h >*OJQJhOJQJh8,OJQJhJ8OJQJh*OJQJh rh6OJQJhOJQJh rhSOJQJh"h**>*OJQJ !!## ''''''''gd.rgddRgd**.BLlmqu) O _ !!!!!!!!#!!!!!!!K"N"n""#ϿϴϿϴϬ~oϴϴϴϴǴϴj@huth OJQJU"jh OJQJUmHnHujh OJQJUhbIaOJQJh OJQJhY}OJQJh9h9OJQJhxrOJQJh*OJQJh9OJQJhEhEOJQJhdRh^$ OJQJh'O5OJQJhvt:5OJQJ+##$#%#-#.#T#_#u#v#w##########$/$7$F$J$$$$$#%h%l%%%%&=&@&A&M&N&Q&R&^&_&&&&&&&&' ' ' ''hXWh7KOJQJh*OJQJh.rOJQJhxrOJQJhh.rOJQJhROJQJhpOJQJh OJQJh_OJQJh @OJQJhDOJQJh9h9OJQJhbIaOJQJ7'''''''q'u'}'~''''(((((( )*))))))**+*0*F*G*H*I*J*K*O*^*e*ƾƾ޾ΞΞΞzodhdRh_1OJQJhdRhdROJQJhdRhprOJQJhTiW5OJQJh7KOJQJh*OJQJh19OJQJhuOJQJh}OJQJhThOJQJhfOJQJh'OJQJhxrOJQJhCOJQJhrOJQJhROJQJ"jhROJQJUmHnHu&''''''''H*I*J*K*f*g*B,C,,,gddRgd3gd-gd*e*f*g*{****************++*+>+B+F++++++ ,, ,1,5,A,C,S,T,k,o,,,,,2-H-Z-\-^-䨠hjOJQJhqOJQJh#OJQJh,}AOJQJhcYOJQJh*OJQJhQOJQJh1 h1 >*OJQJh2OJQJh,OJQJhxrOJQJh1 OJQJhXW5OJQJhdRhH[ OJQJ1,,,YR & F Eƀ`r.^gdpR & F Eƀ`r.^gdp,(-]-^---$1%1YTOJEEgd3gdDgdygd,}AR & F Eƀ`r.^gdpR & F Eƀ`r.^gdp^-_-a-o-----------------------.$.B.W.\.b.e....//xmhHv%hHv%OJQJjhHv%OJQJUhHv%OJQJh*OJQJhiNOJQJhn4OJQJhNOJQJhyBOJQJhROJQJhFOJQJhhnOJQJhh!|OJQJhiZZOJQJhi}OJQJhhUGOJQJhhDOJQJ%///#/$/-/K/O/////00D0S0x0y0z0{011!1"1#1$1%1&1,1/111;1B1Y1Z1e1ļļļĴĴļĬvmdm[mh~5OJQJhy5OJQJhn45OJQJhKG5OJQJhH[ hn45OJQJhX5OJQJh_*OJQJh((VOJQJhE OJQJhRPOJQJhQOJQJh*OJQJh %OJQJhHv%OJQJh?|hHv%0JOJQJjhHv%OJQJU#jh?|hHv%OJQJU#%1f1p11111111>2C2J2T2_2 $Ifgd}xFf! $Ifgdn4gdn4e1f1o1p111111111111111=2>2B2C2I2J2S2T2W2^2_2`2f2g222222222222222Z3[3r3s3z333333333333ûûûûûûûûûûûûûûûûûûûûh-Rh~CJOJQJaJhE OJQJh~OJQJhH[ h~OJQJh 5OJQJh~5OJQJhH[ h~5OJQJh*\5OJQJhH[ hn4OJQJ=_2`2g2222:1111 $Ifgdn4kd$$$Iflֈc!&" t0G44 la22222[3.kd$$$Ifl4ֈc!&" t0G44 laf4 $Ifgdn4[3s33333/kd%$$Ifl9ֈc!&" t0G44 la $Ifgdn43333334 $Ifgdn4333333333333344444-4.4L4M4_4`4g4h4q4r4444444555 55:5;5S5T5Z5[5_5`5c5k5l5m5n55ʺʲʺʪʺʺڞhWhC.CJOJQJaJh:CJOJQJaJhcOJQJhRPOJQJhE OJQJhwOJQJh~OJQJhOJQJhH[ h~OJQJhhCJOJQJaJh^h~CJOJQJaJ444.4M4`4h4:1111 $Ifgdn4kd:&$$Iflֈc!&" t0G44 lah4r444441kd&$$Iflֈc!&" t0G44 la $Ifgdn44444551kd'$$Iflֈc!&" t0G44 la $Ifgdn455;5T5[5`5l5 $Ifgd<'l5m5566:1(1h^hgd h^hgd:kdV($$Iflֈc!&" t0G44 la55556666!6#606>6T6U6^6_6u6v66666666666666L7M7c7d7i7j7s7t7y7ǻ{ph{p{p{p{p{h5UOJQJhH[ hOJQJhOJQJh 5OJQJh*\5OJQJhH[ h~OJQJh:5OJQJh~5OJQJhKG5OJQJhH[ h~5OJQJhX5OJQJh:CJOJQJaJhnCJOJQJaJh CJOJQJaJhn4CJOJQJaJ'6U6_6v6666666M7d7j7t77FfK* $Ifgd~gd~y77777777777777888]8^8w8x8~88888888888888889919298999B9C9I9Q9R9T9Z9[999999999999 : ::::ͺ²hH[ h1dOJQJh1dOJQJh~zOJQJhH[ h+OJQJh+OJQJhD0OJQJh8/OJQJhH[ hOJQJhOJQJhE OJQJB7777778//// $Ifgd~kda,$$Ifl4ֈc!&`" t0G44 la77888^8/kd-$$Ifl4ֈc!& " t0G44 la $Ifgd~^8x88888-kd-$$Ifl4ֈc!& " t0G44 la $Ifgd~8888888 $Ifgd>*8889298//& $Ifgdc}O $Ifgd>*kd.$$Ifl4ֈc!& " t0G44 la2999C9R9S9/kdU/$$Ifl4ֈc!&`" t0G44 la $Ifgdc}OS9T999999 $Ifgd~9999 :8//& $Ifgd+ $Ifgd~kd0$$Ifl4ֈc!& " t0G44 la :::,:-:/kd0$$Ifl4ֈc!&`" t0G44 la $Ifgd+::#:+:,:.:i:j:o:p:s:t:u:z:::::::::::::::::::::;;;j;k;;;;;;;;;;;;;;;;;;;;;;;;;'<(<A<B<G<H<K<L<M<R<Y<Z<[<\<h>)CJOJQJaJh\wOJQJhD0OJQJh8/OJQJhE OJQJh1dOJQJhH[ h1dOJQJL-:.:P:j:p:u:: $Ifgd+ $Ifgd>*:::::8//& $Ifgd+ $Ifgd>*kd1$$Ifl4ֈc!& " t0G44 la:::::/kdE2$$Ifl4ֈc!& " t0G44 la $Ifgd+::::::; $Ifgd+ $Ifgd>*;;;k;;8//& $IfgdIh $Ifgd>*kd3$$Ifl4ֈc!& " t0G44 la;;;;;/kd3$$Ifl4ֈc!& " t0G44 la $IfgdIh;;;;;;; $Ifgdx= $Ifgd>*;;;(<B<8//& $Ifgd[ $Ifgd>*kdy4$$Ifl4ֈc!& " t0G44 laB<H<M<Z<[</kd55$$Ifl4ֈc!& " t0G44 la $Ifgd[ [<\<<<<<,=-=$>%>'>(>)>*>+>,>->.>/>0>1>2>3>4>5>6>7>gd_dgdQgdygdngd~\<^<<<<<<<<<<<<<<"=,=-======> > >!>#>$>%>&>.>ĸzrrzrrjXPh,%OJQJ"jh,%OJQJUmHnHuh OJQJh`OJQJhRe.OJQJh#OJQJh((VOJQJh$e\OJQJhh OJQJhhQOJQJhXOJQJh:lKCJOJQJaJhnCJOJQJaJh CJOJQJaJhRe.CJOJQJaJh5CJOJQJaJhCJOJQJaJ.>/>0>9><>=>v>w>>>>>>>|?}?~????????:@C@\@m@q@z@{@|@@@@@@AAyqqiaiahxrOJQJhlVOJQJhg BOJQJh)(OJQJhOJQJh#5OJQJhs)OJQJhnOJQJhicOJQJhcaOJQJh,OJQJ hhhqOJQJh FOJQJhOJQJhTOJQJhOJQJh,%OJQJh#OJQJh OJQJ&7>8>9>:>;><>=>}?~??\B]BBBBBBB $Ifgdcagdcagd_dAA!AZAaAbApAAABB&B)B[B\B]B^BdBeBgB{BBBBBBBBBBBBBB÷|s|js|asVhH[ h0kOJQJh|5OJQJhO)5OJQJh0k5OJQJhH[ h0k5OJQJh*\5OJQJhH[ hcaOJQJh95OJQJhca5OJQJhs)5OJQJhH[ hca5OJQJhdR5OJQJh ,iOJQJhOJQJh#5OJQJhxrOJQJhichlV>*OJQJhlVOJQJ!BBkd5$$Ifl4r%c$g>  t2044 lap2BBBCC;C t044 la $IfgdcaXCCCCCCC9kd7$$Ifl4r%c$ g> t044 la $Ifgd $IfgdcaCCCD+D,D-DB9 $IfgdcakdU8$$Ifl4r%c$`g> t044 la $Ifgd2C-D t044 la $IfgdEy $IfgdcaDDDDDDD9kd9$$Ifl4r%c$ g> t044 la $IfgdEy $IfgdcaD EE:ETEUE_E9kdG:$$Ifl4r%c$ g> t044 la $IfgdEy $Ifgdca_EEEEEEEFDkd:$$Iflr%c$g> t044 la $IfgdcaFF'F,F-F.F>FB99 $Ifgdcakd;$$Ifl4r%c$`g> t044 la $IfgdI>FIFWF\F]FiFFB99 $Ifgdcakd1<$$Ifl4r%c$ g> t044 la $IfgdI]FhFiFFFFFFGGGGDGFGtGuGzG|GGGGHHH@HBHmHnH{H|HHHHHHH(I)I.I/IDIEIIIIIIIIIJ4J=J·······h~<CJOJQJaJhWh`CJOJQJaJh' CJOJQJaJh`CJOJQJaJhH[ hUCOJQJhUCOJQJhH[ hR OJQJhR OJQJhtW[OJQJh9OJQJhH[ hOJQJhOJQJ4FFFFFFFFBkd<$$Ifl4r%c$`g> t044 la $IfgdcaFFFFFFFFBkd}=$$Ifl4r%c$ g> t044 la $IfgdcaFGGG0G9G?GDGBkd#>$$Ifl4r%c$ g> t044 la $IfgdcaDGEGFG\GgGuGzGKBB999 $Ifgdt $Ifgdcakd>$$Ifl4r%c$ g> t044 lazG{G|GGGGGKBB999 $IfgdV? $Ifgdcakdo?$$Ifl4r%c$ g> t044 laGGGGGGHKBB999 $IfgdV? $Ifgdcakd@$$Ifl4r%c$ g> t044 laHHH,H5H;H@HKBB999 $Ifgd,N $Ifgdcakd@$$Ifl4r%c$ g> t044 la@HAHBHYHbHhHmHKBBBBB $IfgdcakdaA$$Ifl4r%c$ g> t044 lamHnH|HHHHHKBB999 $Ifgd $IfgdcakdB$$Ifl4r%c$ g> t044 laHHHHHHHKBB999 $IfgdUC $IfgdcakdB$$Ifl4r%c$`g> t044 laHHHII)I.IKBB999 $IfgdR $IfgdcakdSC$$Ifl4r%c$ g> t044 la.I/IEIbIoIIIKBB999 $Ifgd~z $IfgdcakdC$$Ifl4r%c$ g> t044 laIIIIIIJAA8/ $Ifgd~z $IfgdR $IfgdcakdD$$Ifl4r%c$`g> t044 laf4IIIWJXJYJJB===8gdygd~kdHE$$Ifl4r%c$ g> t044 la $Ifgd~z=JDJUJVJXJYJnJ}J~JJJJJJJJKKKKK LLLLLLLLL M MM(M~r~jbhvOJQJhROJQJh3h9[>*OJQJh5DOJQJh9[OJQJhxrOJQJh9OJQJh3OJQJhicOJQJhhicOJQJhpOJQJh:lKCJOJQJaJhlVCJOJQJaJh`CJOJQJaJhWh`CJOJQJaJh~<CJOJQJaJ!JJJJMMMMIOJOOO?PPI & FEƀ`rgdgdCBOgd~ (M9MRM_MMMMMMMM N'N(NMNQNXNNOHOhOOOOOO?PIPLPQQQQQQQRRRR4RRR1SCSrSsStSySSۻӳ˳ûë˒hth_CJOJQJaJhI kOJQJh:qOJQJhCBO>*OJQJhth_OJQJhCBOOJQJh5DOJQJhxrOJQJh9OJQJh3OJQJhROJQJh#OJQJhvOJQJhvhv>*OJQJ1PAQQQk!I & F Eƀ`rgdI & FEƀ`rgdI & FEƀ`rgdQQRRTTFUGUhWiWjWWWYZZdZZZZ\[[[ $L^La$gd'X?$a$gd'X?gdXgdXgd'X?gd#}gd& tgd~gdgdth_STTTTTTTTTTTTTTTTT"U/Uh 9SOJQJh& tOJQJhh& tOJQJhtOJQJhhgOJQJhhX=0OJQJhkHCJOJQJaJ%jEhI kh'X?CJOJQJUaJ"jhI kOJQJUmHnHuhI kCJOJQJaJjhI kCJOJQJUaJh#V5CJOJQJaJhDCJOJQJaJhPr OJQJh5DOJQJhPr hPr OJQJhhOJQJUUUUUUUUU.V6VIVVVVVVVVVVVWWW%W5W=WWWfWgWhWiWjWkWWWWWrbhhfP5CJOJQJaJhhb55CJOJQJaJhXhfP0JOJQJhXhl0JOJQJhb5OJQJhX=0OJQJh,}Ah& tOJQJh 9S>*OJQJh@ih& t>*OJQJhgOJQJh@ih@i>*OJQJh@iOJQJhYYOJQJh 9SOJQJh& tOJQJ&WWWWWWWWmXoXpXuX|X~XXXXXXXYYYYRYXYyY|YYYYYYYYYYYZZZZZ轲~vkhmh'X?OJQJh'X?OJQJh=JOJQJhXhXOJQJhXhlOJQJhXh:E4OJQJhXhfPOJQJhXhoXOJQJh'X?5>*OJQJhagnOJQJhfOJQJh xOJQJhj*OJQJh#}OJQJh0OJQJhOJQJ*ZZZ[[[[[ \\\\\s\t\|\\\\\\\]]]]]]-]7]]]]]]]]]]]ƾ宛ƀxxph%OJQJhSOJQJhP2OOJQJh%OJQJhmhmOJQJhmhXOJQJhBOJQJhmOJQJh#}OJQJhXOJQJhA|OJQJhgOJQJh'X?j~FhBh'X?UhCOJQJhmh'X?OJQJh'X?OJQJ'[[[ \\s\t\\]1]]]]]^^^__C`gdy & F gdCgdC^gdC $^a$gdC$a$gdSgdX=0gdXgd'X?L^Lgd'X? $L^La$gd'X?]]]] ^^;_p______`````.`;`A`B`C`D`K`M`N`ͺ{p{bZRJh~7BOJQJhj*OJQJhA|OJQJhmgh=J5>*OJQJhyhPOJQJhyh.TOJQJhyhDOJQJhyhlOJQJhyhfPOJQJhyhoXOJQJh<OJQJhChCOJQJhXOJQJhCOJQJh<hCCJOJQJaJhCCJOJQJaJhCjRhChCUC`D`````aaaaaa bbccOcgdy & F gdYYI & F Eƀ`rgdYY$a$gdJgdX=0gd, gdDN`n```````````aaaaavaaaaaaaaaaaaaaaaaaaaaaaŽšyynj^^h#;h#;UhFWOJQJh/POJQJh=*OJQJhj*OJQJhA|OJQJh"$OJQJhL\hL\>*OJQJhL\OJQJh^OJQJh;OJQJh\GOJQJh55OJQJhmh, OJQJh~7BOJQJhJOJQJh, OJQJ'aa b b/blbbbbbbbbbccccccc*c:c=cHcIcMcOcPcWcYcZcccccccʿxphphp`hUDOJQJhL\OJQJh4OJQJh=*OJQJhj*OJQJhA|OJQJhmgh45>*OJQJhyhPOJQJhyh!kOJQJhyh4OJQJhyhfPOJQJhyhoXOJQJhhL\huh4hCHh^hYYh4h~7Bh~7B0JCJ%OcPcccTddddeeeeee]f`ffgdy 4gdyI & F Eƀ`rgdYY$a$gd gdX=0gd4ccdddd*dSd\d]ddddddddeeIe^e_ebefeoeve{eeeeeeeeeeeeeeeeeeeee ff՝՝Ւ{h \h55hYYh h55h jih55h55UhOJQJh=*OJQJhj*OJQJhA|OJQJhQOJQJhemPOJQJh#VOJQJh OJQJhmh4OJQJh4OJQJh55OJQJh;OJQJ0f&f(f3f4fMfSf\f^f_f`fafcffffffffffffgggg gg1g2ggggggǼǮ~vnfh5iOJQJhhEOJQJh#;OJQJhU{OJQJh1-&OJQJh?AOJQJh=*OJQJhj*OJQJhA|OJQJhmgh?A5>*OJQJhyh=*OJQJhyh?AOJQJhyhfPOJQJhyhoXOJQJhyh?AhAh \huh $ffgghDh_h`h8i9iiikiliziijjjjj|k}kgdn gd>< & F gd#B$a$gd?Agd?Aggh'h(h,hCh[h^h_hfhhhhhh5i6i7i9i?iBiCiEiYi[ibicidieigiiijikiyiziiiiŽŵ襝ՍՅzsokogohwhYYh?A hvfyhJKDjuhvfyhvfyUhqmOJQJhU{OJQJh7xsOJQJhj*OJQJhA|OJQJhI%{OJQJhvfyOJQJhlOJQJhhEOJQJhF/GOJQJh=*OJQJhmh?AOJQJh?AOJQJhOJQJhJKDOJQJ&iiiijjjjjBkRk{k}kllmmmm{n|n}n~nnnnnnnnnn؛ti^SiSihyhG]OJQJhyhWOJQJhyhlOJQJhyhMOJQJhyhfPOJQJh~hn 5CJOJQJaJhn OJQJh,F>*OJQJh~OJQJh><h,F>*OJQJh,FOJQJh9OJQJh&OJQJh><OJQJh?AOJQJhPOJQJh#BOJQJh?AhP}kmm}n~nnnnppppqq(r*r9rgdK>^$a$gdYYgdj*gdygdygdX=0gdn GC$EƀFgdn nnnnnnnnnnn/o4o5oAoKoLoMoNo\osop ppppppppq qqqqɾzrzj_WWh3OJQJhmhj*OJQJh2'OJQJh,FOJQJhhEOJQJhj*OJQJh1-&h7xs>*OJQJhU{OJQJh7xsOJQJhOJQJhOJQJh%OJQJhyhj*OJQJhyhemPOJQJhyh7xsOJQJhyhPOJQJhyhG]OJQJhyhN`OJQJ"q"qtqzqqqqqqqqqqr rr'r(r)r*rIrXrZrarrrrrrrrrs$s+s:s?sbscssssssظ୦~v~nhAVOJQJh9OJQJhAOJQJh:OJQJhQOJQJhU<hU{hPhK>^ h><hYYjڀh><h><UhhEOJQJhMOJQJhR{OJQJhA|OJQJhYYOJQJh?4OJQJht OJQJh2'OJQJh7xsOJQJ+9rrrbsk!I & F Eƀ`rgdK>^I & F Eƀ`rgdK>^I & F Eƀ`rgdK>^bscsssst t!t"t0ttttt u uvgdygdOI & F Eƀ`r gd gdQgdV $a$gdQgd:gdX=0sssssssssssssttttt t0tAtMtRtTt[totptttzt|tttttttиحzqf[hyhOOJQJhyh> OJQJhO5OJQJhOOJQJhagnhagnH*hagnhR=hA{hh%~h hQ h+)hV jh+)h+)UhagnOJQJhhEOJQJhA|OJQJh* OJQJhQOJQJh9OJQJhR{OJQJhPOJQJh:OJQJ#ttttu u u u$u%u&uCuyuuuuv0v1v5vnvuvvvvvvvKwLwgwhwnwqw̨̼̝̑̉́uld\hA|OJQJh;_OJQJh7>*OJQJhOh7>*OJQJh7OJQJhpOJQJhOhO>*OJQJhmhOOJQJh.OJQJh1-&h1-&>*OJQJh1-&OJQJht OJQJhOOJQJhyhPOJQJhyhOOJQJhyhN`OJQJhyh> OJQJ!vv(v6vavbvgwhwwwww;xI & F Eƀ`r gd1-&gd1-&$a$gd1-&gdX=0gd7gdO qwrwtw|wwwwwwwwwwwwwwwwwwwxxx(x*x9x:x;xAxEx[x`xaxxxxxxxxxx¾¾¾º¦vvh [hb_OJQJh [h9uOJQJh [hvOJQJh [h> OJQJhA{hAhYhYH*hYhphYh~h1-& hHhOj hHhHUhTOJQJheOJQJh/POJQJh1-&OJQJhNcDOJQJ+;xxxxxzzz)znz{{{{|||gd&OgdE$a$gd&Ogd9ugdX=0gd [gd [I & F Eƀ`r gd1-&xxxxy+y,yCyEyMyUy}yyyyyyyyyyzzCzMzPz^zmztzzzzzz{.{8{9{:{{{{ѹѐшрɈɈшxoh#5OJQJh%OJQJh<OJQJhYqOJQJhmh9uOJQJjh!k0JOJQJUh!kOJQJh.OJQJh%OJQJhajy|Žzk_Ph<h1nCJOJQJaJh1nCJOJQJaJh<hI\CJOJQJaJ h]hI\jh]h]Uhh6OJQJhNcDOJQJhA|OJQJhR5OJQJhROJQJhsHGOJQJh%OJQJh]OJQJhROJQJhmhI\OJQJhg)OJQJh@ƉωՉ\]hilΊϊԊnopqryʾ𘐈|tlahXh<OJQJhI\OJQJh3QOJQJheh>*OJQJhZOJQJhOJQJh&Oh$OJQJh#CJOJQJaJh<h$CJOJQJaJh$CJOJQJaJhCJOJQJaJ h%h$jQh%h%Uhh6OJQJh$OJQJhNcDOJQJ!ϊprxyЌьrsgdKmC$a$gdKmCgd7gdX=0gd<gdXgdR{I & F Eƀ`rgd$yҋ'(),/1=?PwόЌь rsyz{|}ǻdzǣǻdzטאDŽ{dzskchNcDOJQJh[COJQJhA|OJQJh7>*OJQJhOh7>*OJQJhI\OJQJhmh<OJQJhDOJQJhZOJQJhKmCOJQJh7h7>*OJQJh7OJQJh%OJQJh<OJQJhXhN`OJQJhXh<OJQJhXh7OJQJ&}č$(EQX\`aoxz{Ǝˎ̎Վ whUOJQJhXhUOJQJhXh[COJQJhi}OJQJhXhN`OJQJhXhh6OJQJhXhKmCOJQJhKmC5OJQJhZOJQJh&OhKmCOJQJhKmC hLhI\jhLhLUhPeOJQJhKmCOJQJ._a,OP-/0?gd0]$a$gd0]gdX=0gdUgdXgdKmCI & F Eƀ`rgdKmC%& ,-./0;<?M~{{sssssh`h7OJQJhXh"OJQJhZOJQJh&Oh0]OJQJhI\OJQJ h8h jHh8h8Uh|UOJQJhh6OJQJhNcDOJQJh[COJQJh0]OJQJhA|OJQJhKmC>*OJQJhOhKmC>*OJQJhmhKmCOJQJhUOJQJhKmCOJQJ%?PQOP^kfffaf\\\gd"gdXgdX=0I & F Eƀ`rgd0]I & F Eƀ`rgd0] %&,078;JPQhij 1DIewݓNOXǿǿ{sshh"h"OJQJhSOJQJhzh,>*OJQJh,OJQJhzh">*OJQJhzhz>*OJQJhp!OJQJhzOJQJh:OJQJh"OJQJh|UOJQJh0]OJQJhXhN`OJQJhXh"OJQJh7OJQJhXhzOJQJ(X]fgŔΔϔєҔ֔۔*2;<?EHIKQcfnq~{{ssssh:OJQJh&OhzOJQJ h|Uhp!jh|Uh|UUh|UOJQJhh6OJQJhzOJQJhNcDOJQJhp!OJQJhA|OJQJhAOJQJh">*OJQJhOh">*OJQJhmh"OJQJh"OJQJh,OJQJ+^m>?I & F Eƀ`rgdzgdz$a$gdzgdX=0gd"  )\mvÖĖΖЖі49XDEϘИ37FK™Ùտݷ𷧟𷌄|||h8'OJQJhAVOJQJhA|OJQJhmh*iOJQJhkOJQJhh6OJQJh|UOJQJh*iOJQJhJhPOJQJhJhN`OJQJh\KOJQJhJh*iOJQJhzOJQJh:OJQJhpOJQJ0vЖіǘ֘Ùřԙ$a$gd*igd*igdJgdJI & F Eƀ`rgdzÙęřԙٙBQS]`!,EKMOPR]uʛ˛֛כ؛ٛɱɩə~w h%h*ijh%h%UhOJQJhh6OJQJh8'OJQJh~OJQJhA|OJQJhPOJQJh9OJQJhAVOJQJh*iOJQJhU<hh6hAVhPhK>^h:h*i h8'h*ijh8'h8'U.ԙ`!k!I & F Eƀ`rgd*iI & F Eƀ`rgd*iI & F Eƀ`rgd*i!#כٛڛyz{|}~gdO5I & F Eƀ`rgd*i$a$gd*igd*iٛAKX]ay{؜/3@mmqvźДЌЌДymdhe>*OJQJhOhe>*OJQJhmheOJQJhiOJQJh:OJQJh8'OJQJhJh8'OJQJhJhN`OJQJhQ,OJQJhJheOJQJhJhOJQJheOJQJh6QOJQJh \h`h8'h h:hghcxh*i% =>ߞ !0$a$gdegdegdJgdO5 !,-0>FG`mnrǟȟٟž𳫣ؐ}r}}hJhOJQJh%OJQJhJhkeOOJQJhJhJ#9OJQJhO5OJQJhN9OJQJh:OJQJh&OheOJQJ h8'hej&h8'h8'Uhh6OJQJhgT?OJQJh8'OJQJh[COJQJheOJQJhA|OJQJ,0lmkfaaa\WRgdkeOgdJgdJgdX=0gdO5I & F Eƀ`rgdeI & F Eƀ`rgde -LNZ]_`jlm͠ݠ \]͡QRY_abef~v~v~vhbUOJQJhOJQJhJ#9OJQJhA|OJQJhmhkeOOJQJhB7OJQJh4}5OJQJhOJQJhiOJQJhkeOOJQJhJhPOJQJhJhN`OJQJhJhOJQJhJhb|OJQJhJhkeOOJQJ.mΡϡߡ12I & F Eƀ`rgdkeO$a$gdkeOgdigdkeO ˢ͢Ңݢ "-9Z17?`afԤ&(-2ʾƾƾƾƾʾʾ蚢hOJQJhA|OJQJhJ#9OJQJh9OJQJh \OJQJh \hU<hPh4}5hkeO hihkeOjhihiUhiOJQJhkeOOJQJhbUOJQJhOJQJ9@BCQkff^^^fff$a$gdkeOgdkeOI & F Eƀ`r!gdkeOI & F Eƀ`r gdkeO 245?@ABQV`eإ #'JNQWZ\adfgҾ賨|q|||hJh4}5OJQJhJhJOJQJhJh{ OJQJhJhkeOOJQJhJhsv?OJQJhJh1$OJQJhJhJ2qOJQJh( *h%h h4}5hFhkeO h%hkeOjR%h%h%UhkeOOJQJhOJQJhiOJQJ)Q fgdJgdkeOI & F Eƀ`r"gdkeOfgNjI & F Eƀ`r#gdkeO^gd#$a$gdkeOgdkeOĦ*+56٧ާʨ#01;<MVW\iߩ dh~ȵȭȡЭh%OJQJhkeO>*OJQJhOhkeO>*OJQJh#OJQJhmhkeOOJQJh{ OJQJhkeOOJQJhZOJQJh( *OJQJh1,OJQJh4}5OJQJhtLOJQJh0OJQJ7ª̪Ԫ 9[\«ӫ ƺ؀؀x؀hQOJQJh4}5OJQJh&OhkeOOJQJh#OJQJh#h[CJOJQJaJh<h#CJOJQJaJh#CJOJQJaJ hihkeOj4hihRUhZOJQJh;OJQJh[COJQJhkeOOJQJhA|OJQJ,GIPI & F Eƀ`r%gdZ^gd[gdZ$a$gdZgdX=0I & F Eƀ`r$gdkeO:GHIJT\vά(G[ѭӭԭҿ𝥝vmahdlhKv>5OJQJhdl5OJQJhKv>5OJQJhJhKv>OJQJhJh[COJQJhdlOJQJhQOJQJh4}5OJQJh&OhZOJQJ hQh#h[h<h[CJOJQJaJh[CJOJQJaJ h[hZj>?h[h[UhZOJQJh-GOJQJ"gdJgdX=0I & F Eƀ`r&gdZӭԭ#fI & FEƀ`rgd#kI & FEƀ`rgd#kgdX=0ԭMNqrxyǮˮخٮܮݮŽ|qjbWh&OhtYOJQJhdlOJQJ h*Uhdlh"-h"-OJQJjIh h OJQJUjh UmHnHuh OJQJjh OJQJUhOJQJhtYOJQJh.OJQJhfOJQJh=OJQJmH sH h[COJQJmH sH hKv>OJQJmH sH h#kh#kOJQJmH sH "#Cek!I & FEƀ`rgd#kI & FEƀ`rgd#kI & FEƀ`rgd#kܮ kf^YffTgdtYgd*U$a$gd gdX=0I & FEƀ`rgd#kI & FEƀ`rgd#k UVW~"#ðİŰܰݰްô噑݉݉vvhjh.UmHnHujh.OJQJU h*UhT|hT|OJQJhZOJQJhdlOJQJh=OJQJh&Oh OJQJj*Jh h[5\OJQJUjh UmHnHujh OJQJUh.OJQJh OJQJh&OhtYOJQJhtYOJQJ" UVW~ ^VQgdX=0 & F gdX=0I & F Eƀ`r(gd gd $a$gd I & F Eƀ`r'gdtY ðİHYI & F Eƀ`r+gdT|I & F Eƀ`r*gdT|gdT|$a$gdT|gdX=0ް߰ FGHlnx{=L]`hmƾƶuhJh+,OJQJhJh;SOJQJhJh@q4OJQJh;SOJQJh&OJQJhQWOJQJh=OJQJhEEOJQJhT|OJQJh&OhT|OJQJh.OJQJh.h.OJQJjh.OJQJUjJh.h[5\OJQJU+kffafffgdJgdX=0I & F Eƀ`r-gdT|I & F Eƀ`r,gdT|*SU~ȴʴδ״ ")9Ƶֵ os{}hl{|}2Drv¶Ά}uhUeOJQJh@V>*OJQJh@VOJQJhOJQJh@OJQJh` xOJQJh OJQJhOJQJh"h>*OJQJh"h@>*OJQJh;SOJQJhRbOJQJh,'OJQJh9YOJQJhIOJQJh;S5OJQJ.|}|}TOgdUeI & FEƀ`rgd@h^hgd@V^gd` xgd` xI & FEƀ`rgdv|)_cijst»ǼYZnĽ +1JjƾƶƮƶ𑈑𑀑hOJQJh />*OJQJh /OJQJh"/h>*OJQJh"/hh@>*OJQJh+)OJQJh"/hOJQJh OJQJh OJQJh` x>*OJQJh >*OJQJh@OJQJhS1OJQJh` xOJQJhUeOJQJ2Z[fagdh4XI & FEƀ`rgdgd"/hI & FEƀ`rgd *KO,.Z_ptKR <˻ûûûûûÎÖÖ~hOJQJhS1OJQJh+,OJQJh@VOJQJh OJQJh9e>*OJQJh9eh />*OJQJh9eOJQJh` xOJQJhh4XOJQJhh4X>*OJQJhh4Xhh4X>*OJQJhh4Xhh4XOJQJhh4Xh"/h>*OJQJ1fa\\W\gdJgdX=0gd /I & FEƀ`rgd /gd9eI & FEƀ`rgd /<GBCOweXLjhdlOJQJUh~h0JOJQJ#jJKh~hOJQJUhhOJQJhOJQJjhOJQJUhdlOJQJh@q4h@q45OJQJhJhdlOJQJhJhOJQJh;Sh;SOJQJhRbOJQJh /h /OJQJh9e>*OJQJhOJQJh 3}OJQJhS1OJQJk!I & F Eƀ`r.gdI & F Eƀ`r.gdI & F Eƀ`r.gdOlnop !OPXYe~Ϻuuh|YhdlOJQJmH sH #jjOh9hdlOJQJU#j9Nh9hdlOJQJU#j\Mh9hdlOJQJUhOJQJh9hdl0JOJQJjhdlOJQJU#joLh9hdlOJQJUhdlOJQJhdlhdlOJQJ&Qk!I & F Eƀ`r.gdI & F Eƀ`r.gdI & F Eƀ`r.gd78TU{|67fg{k_kPkPkPkPkPkPkPkPkh heCJOJQJaJh he5OJQJh he5CJOJQJaJh /5OJQJhJh /OJQJhROJQJhJh@q4OJQJh|Yh@q45OJQJmH sH h|YhOJQJmH sH h|YhdlOJQJmH sH  h|Yhdl0JOJQJmH sH jhdlOJQJU#jGPh9hdlOJQJU,7 $Ifgd^gdegd gdJgd /gdX=0h^hgddl 78<T{{ $Ifgdzkd8Q$$Ifs0 t0644 sa TUZ{{{ $IfgdzkdQ$$Ifs0 t0644 sa {|{{ $IfgdzkdR$$Ifs0 t0644 sa {{ $IfgdzkdR$$Ifs0 t0644 sa {{ $IfgdzkdR$$Ifs0 t0644 sa  6{{ $IfgdzkdYS$$Ifs0 t0644 sa 67>f{{ $IfgdzkdS$$Ifs0 t0644 sa fgl{{ $Ifgdzkd3T$$Ifs0 t0644 sa {{ $IfgdzkdT$$Ifs0 t0644 sa  DEmn@AZ45\]^wxVWƺra h he0JCJOJQJaJ+j=Yh heCJOJQJUaJ%jh heCJOJQJUaJh heCJOJQJaJh he5CJOJQJaJh he5OJQJh heOJQJh hM'5CJOJQJaJh he5CJOJQJaJh heCJOJQJaJ&{{ $Ifgdzkd U$$Ifs0 t0644 sa {{ $IfgdzkdzU$$Ifs0 t0644 sa  $D{{ $IfgdzkdU$$Ifs0 t0644 sa DEJm{{ $IfgdzkdTV$$Ifs0 t0644 sa mns{{ $IfgdzkdV$$Ifs0 t0644 sa {{ $Ifgdzkd.W$$Ifs0 t0644 sa {{ $IfgdzkdW$$Ifs0 t0644 sa {{{{{{{{{vvqgdegdM'^gdezkdX$$Ifs0 t0644 sa  "+9AO[dr  $Ifgd $Ifgd kduX$$IfTlִ )6TT  t0    44 laT4yz  $Ifgd $Ifgd kdZ$$IfTlִ )6TT  t0    44 laT!,V $Ifgd <=() :;op+ֶֶֶֶoֶֶY+j9ah heCJOJQJUaJ+j@_h heCJOJQJUaJh heCJH*OJQJaJ+j\h heCJOJQJUaJh heOJQJh heCJOJQJaJ h he0JCJOJQJaJ%jh heCJOJQJUaJ+jZh heCJOJQJUaJ"kd[$$IfTlִ )6TT  t0    44 laT&/<( $Ifgd ()kdx^$$IfTlִ )6TT  t0    44 laT)4qy<=o $Ifgd opkdq`$$IfTlִ )6TT  t0    44 laTpu-.E $Ifgd +,EF'()AB BCDlm?@lmnݼݜ݌v`+jgh heCJOJQJUaJ+jfh heCJOJQJUaJh heCJH*OJQJaJh hCJOJQJaJ h he0JCJOJQJaJ+jbh heCJOJQJUaJh heOJQJh heCJOJQJaJ%jh heCJOJQJUaJ%EFkdb$$IfTlִ )6TT  t0    44 laTFLs~ $Ifgd kdc$$IfTlִ )6TT  t0    44 laT @Hlw( $Ifgd() kdd$$IfTl4ִ )6TT  t0    44 laf4T).IQ}A $IfgdABkdMe$$IfTlִ )6TT  t0    44 laTBGjr{ n $Ifgd kd.g$$IfTlִ )6TT  t0    44 laT"-4? $Ifgd kdh$$IfTlִ )6TT  t0    44 laTlnsu1235689:;<Üxxnj_j[S[S[S[SjhYUhYh!khQ,OJQJhQ,jhQ,0JUh /h /5OJQJh /h /OJQJhe5CJaJhe h he0JCJOJQJaJ+jih heCJOJQJUaJ%jh heCJOJQJUaJh heCJH*OJQJaJh heCJOJQJaJh heOJQJ .U1 $Ifgd 12kdj$$IfTlִ )6TT  t0    44 laT23456789:gdX=0gd /gde=>RSѵѪ柗zozhzazZ h/:hQ, huhQ, h'OhQ,hshQ,OJQJhQ,OJQJhQ,5OJQJh03hQ,5OJQJh|YCJaJhy[lh /CJaJh9gxhQ,OJQJh|Y0JOJQJmHnHuh9gxh /0JOJQJ!jh9gxh /0JOJQJUhQ,h8h /jh /UmHnHuhY#>SQI & FEƀ`rgd4]2I & FEƀ`rgd4]2`gdsgd4]2$a$gd /yk!I & FEƀ`rgd4]2I & FEƀ`rgd4]2I & FEƀ`rgd4]212@AvwgdRgdoT & Fgd h^hgd h`hgd gd I & FEƀ`rgd4]2 /?vw6R^{|}9kluZ[\w=>?rʿʿʿʿʿʿʸ窝h=_hQ,OJQJhQ,OJQJaJh=_hQ,OJQJaJh=_hQ,5OJQJaJ hqhQ,h,%hQ,OJQJhQ,OJQJhRhQ,5OJQJhQ,5OJQJhQ, hoThQ,hoThQ,5 hQ,55@k!I & FEƀ`r gdRI & FEƀ`r gdRI & FEƀ`rgdR!k!I & FEƀ`r gdRI & FEƀ`r gdRI & FEƀ`r gdRd6dI & FEƀ`rgd,%I & FEƀ`rgd,%gd,%6}/9k!I & FEƀ`rgd,%I & FEƀ`rgd,%I & FEƀ`rgd,%9lmnopqrstunllllllllggdF & FEƀ`rI & FEƀ`rgdF u Q^gd=_ & F gdhE & F gdfPI & F Eƀ`r.gdfPgdF/,k!I & FEƀ`r.gdvI & FEƀ`r.gdV6I & F Eƀ`r.gdfP,>\k!I & FEƀ`r.gdgq$I & FEƀ`r.gdgq$I & FEƀ`r.gdgq$k!I & FEƀ`r.gdgq$I & FEƀ`r.gdgq$I & FEƀ`r.gdgq$k!I & FEƀ`r.gdgq$I & FEƀ`r.gdgq$I & FEƀ`r.gdgq$"[k!I & FEƀ`r.gdgq$I & FEƀ`r.gdgq$I & FEƀ`r.gdgq$[\wbI & F Eƀ`r.gdfPI & F Eƀ`r.gd\ ^ gd=_k!I & FEƀ`r.gd @I & FEƀ`r.gd\I & FEƀ`r.gdfP!k!I & FEƀ`r.gd\I & FEƀ`r.gdfPI & F Eƀ`r.gd\!>?rbI & F Eƀ`r.gd, ^ gd=_I & FEƀ`r.gd\rk!I & FEƀ`r.gd,I & FEƀ`r.gdfPI & F Eƀ`r.gdfPk!I & FEƀ`r.gdfPI & F Eƀ`r.gd,I & FEƀ`r.gd @k!I & FEƀ`r.gd\|I & FEƀ`r.gd,I & FEƀ`r.gdJ2q()-.?@CDTUYZjkopgd'X?gd=_'),.>@BDSUXZiknp ηηηh hQ,CJaJh hQ,5CJaJ/h hQ,5B*CJOJQJ\^JaJphhQ,)hQ,5B*CJOJQJ\^JaJphH #$'(3489FGJKVWZ["$&(2479EGIKUWY[dfhjprtvh /h /5OJQJh5*ihQ,)hQ,5B*CJOJQJ\^JaJph"[efijqruvgdX=0? 0 00&P1h:p // =!"#$% 51h0:p@q4= /!"#$% nx\xWS hPNG  IHDRt|n`PLTE̙̙ff33f3 cmPPJCmp0712HsIDATx^]:Zqo}Ve`i䜙VRT6[(_(F+[N,w-@ޕP^Pzzg~}+p@(˾WXUW䬗/e!WEU%cWYBIGPf|~D+g^-HlcL;I,Ց(8$ vOsC;ʍ-mYR'^F{0re딿V+v^ ;o`yitL VVr ~^+!UEJ- |Y( VšPB= pfG@2Ijmf0v0 " DFnfTrWw6rĦYFdPZ WJ6+)}秵aq(EE]Z𰛁VFPGf٘@+RLwWʍY}0&%ap0Z(+'Þ*Ū&gI(:jĠ:;Fyƥ}ehG=Z!5Tb|8]&pw Vp }D3(vo,;[$Г\|z?>MB=0eeW6棍hnG(հuYp!j)[9TK2{Lh8;Mq8Тi94!ʖ"CK_8ƳZh!#B cu2@QE_ qFitpA#z<;fd ٚ~0NCNWfc(V4@֮r"h$GbHUR$$)A^H4o~Mݓу]52:y'^[CEx%n={=OfmNFĴAztįO;ό\ygCbI{P24*P0b%ڎZ@ kB &y3@rW)fKV*"IYuފ+Zȃn27dZD+ix8alS #@2#Q-1ƚJ; DPf52L8b>^&eba}ڻ>Z` ]3hj.UI2yeVA rziEF{BmPbne)֔ԩ`'t-5 ,,9벶;h+3|Rcv yL研*F؏O_OfN:ja\JdqE1Í#(츳Ke7IvCh܄@۾ , 7 Zf ;#+ +zaK GXKXZ7 MC鬡!V*%9$1=.BKX |X6 [R.~ЋM"XV*6 4Xz!f.MCiF"FFs΂d෰G#O4 matB|Jr./( A"Oz;6 $Y僑QS [9 ^wPÝ$l!RF+2:n#<3e`΁nH=g6 H-Ǖ,7N@y㜞ЏJ@H숤p2 ,RvwD3>i(WL;J+M{Pec"AnlVkFRbCqZ4V J;2Xx?̤bcӄVr=yG[ӿ+F7A!Ga,o2\F5$(\ğb۰ íM//^%=ÞHb(\JZaj-Ր-Uϊ43"FDOYhF #ӓcC; sT_=Q~}cOJF微M262,jܹUiʮFf ;#yxŊuC(!ۯzi'a>482fz:nCFaR=ZưlHB+?\4[ƭS&1sR5EZ!+RN@3Xrv:ku69 \(v e 1bu/69Weϣ7bVuup Jv (Ǚz$˜YYPFlWҟhtRrH-Ur7^z[+T-a2c^1/ zFO.+`ƔtG2G2rco5:ޱ$SNDON쫵a)R (ZX4uF{MX-%A^ܬXj ;r5]NG[Ee07Q:dJ@(W$L|dd`igF|;lDS6J4*;&ԅ]gF|\qNE#2NH|| oCP}+c]M 94,d2IpauQKDҾǂ9RPJc2GA9XaWʰ=Dیf,zDx\,}wA9PHmQ68$}W HY-Pd26e g7 y"y'ǰwFFd8)> u.= |V:˚jyVWq=Hy`C,)p48)E!o^r߸RGl9T(qInU#G+Xb#29D-L JUVS;=>Cwء^ˆZ,QF`?C̫LmrZjۺ66:< - PMN !$Zϣ .G|/im@Q2EnZʅk gKVWGjzz3X?7P~A#ڞxa=hnksj5+ĻP_A`z˗*/&QƋ( >0^[!(,C)yGT`\c$7}ߛׯW-4,__fϒ}A㿆 <=[_7pCU! PoruǯM'F8MJZY(Z]xTZ @)uդpeU7|!>AEހJ]q|`P@|r@}ͩO=JĎuv ,BեOmw5)(,n]dͤNVg)(~v/FR)1!HOV`dtyYl6Odg9yzVeL@q_%;/c J.g*,^$`9J.1H(&kα #.ĴGγc_iWMY#_ !0*#Z@PnJ9WC=9,6gʼM䆻3]0AE2L/c\^f(_$}z_>~_se@ $R66:e>tQe2C_>\S[ MrΗ˒_Np7t\\_!IKy5e/$Р%k\=_ܞ$ښ8j~`+]#,y0I]lEė%&Р؟z/E^l+:am@V<'լJΏYפ˒_L-^VquImvQ7ۙ~ݚ\*4|5c\y4~:jf,4'!g/K^$-=`R|58:T|YrW܌ڌ͐G\*iZ:T|5c8wJ\݊/K~0IuBWx^l{8ՉX7dtP=0gׅf@J jfN8^=rv ƒ{ sz+dX&Ckw/]zW!"" _WNy ,p /ELUKIk#ɦeQ9RARQQ;'7SPAðoj °LF2c'K azC8~ -߿߷N}~8p>9O˸.mVw8LVZ93Vٶ'{ ` 5Q55 #v#v> #vQ#v#v :Vl4  t255g555>p2$$If!vh55> 5Q55 #v#v> #vQ#v#v :Vl4 t+55g555>$$If!vh55> 5Q55 #v#v> #vQ#v#v :Vl4 t+55g555>$$If!vh55> 5Q55 #v#v> #vQ#v#v :Vl4 t+55g555>$$If!vh55> 5Q55 #v#v> #vQ#v#v :Vl4 t+55g555>$$If!vh55> 5Q55 #v#v> #vQ#v#v :Vl4 t+55g555>$$If!vh55> 5Q55 #v#v> #vQ#v#v :Vl4 t+55g555>$$If!vh55> 5Q55 #v#v> #vQ#v#v :Vl t55g555>$$If!vh55> 5Q55 #v#v> #vQ#v#v :Vl4 t+55g555>$$If!vh55> 5Q55 #v#v> #vQ#v#v :Vl4 t+55g555>$$If!vh55> 5Q55 #v#v> #vQ#v#v :Vl4 t+55g555>$$If!vh55> 5Q55 #v#v> #vQ#v#v :Vl4 t+55g555>$$If!vh55> 5Q55 #v#v> #vQ#v#v :Vl4 t+55g555>$$If!vh55> 5Q55 #v#v> #vQ#v#v :Vl4 t+55g555>$$If!vh55> 5Q55 #v#v> #vQ#v#v :Vl4 t+55g555>$$If!vh55> 5Q55 #v#v> #vQ#v#v :Vl4 t+55g555>$$If!vh55> 5Q55 #v#v> #vQ#v#v :Vl4 t+55g555>$$If!vh55> 5Q55 #v#v> #vQ#v#v :Vl4 t+55g555>$$If!vh55> 5Q55 #v#v> #vQ#v#v :Vl4 t+55g555>$$If!vh55> 5Q55 #v#v> #vQ#v#v :Vl4 t+55g555>$$If!vh55> 5Q55 #v#v> #vQ#v#v :Vl4 t+55g555>$$If!vh55> 5Q55 #v#v> #vQ#v#v :Vl4 t+55g555>$$If!vh55> 5Q55 #v#v> #vQ#v#v :Vl4 t+55g555>f4$$If!vh55> 5Q55 #v#v> #vQ#v#v :Vl4 t+55g555>Ddt"81D  3 @@"?8 Dd I5$0  # A" M(?"bIm G @= M(?"bIm@M 0-ZV xmlqvv#H͕9\@8`Fd>j -WդTRRj~+EPqմM-WMڪŝ}ݻםY}ܛy3oޛy AX!?d>7?З߹ @Fn*> (p|m,C#`ww(IbXFPϽC vfF8 _]2)7`Hf_>^[gp>//l90+nee!8K;nbcN#yw#UHoRX4D`܎,r;j~<$;n̍/BFMd놩M=$$X:Y%ʐFrSyUo$K~ {EнjWՙ}3,Egcx$RI7uOmND2ʤ{IPF?KO]q)^^'nNqW3R֮s΁/jByyDwQRЌ:)Êfj< j[Ӿk:Gm YUS#yz:&#{yBًts!m~By *QK, _ K- 0dWkkxp䴧NzMO|'rlrZoR Ri#ב"_I/#HOj}\@gdA22A##/7J e  NߋIba/n|`B3ݐ׷So3:D:k)ԳLHM&͌%DOϚ2b&([<t6.4!eM=+J |]ڄ/sQG ;l5"HL/bYU{wE_m!;!5(sT״\ /5bMw5UHO5(ck?Gս?T"J_v)͏7$},Auj:x3IćkxӺRH`;'ϣ'q@>Vؚg:W".VUL;<q؋J2VX𵏳r{v G1!wѳsu܅輜+! s=\0YeV+jS?u)r(~92k b刹>qz(75v7X|/da;c7y4UY&zADrpbXsg>w[ k~S];ϮKFt eY0d-g|-;Fy^i?@6b9yzDe!_'Yȧ 3J4Hׅ׋m8NsW@ sdP7{ʘfӗos?jA\ قd {osh=led8=[: ۃ4WY6)Nŋ=Z: ۃ㼜zC>s 9O' ͣ)X0 h=ggCMBOcO͕6nq3e{p{EW7lc~3Œ#,Δmq^V*!fq{P,9Lf6G3\e{ǙÂ,^g8/qf;zI*3b~v>K);'\':#V>tC's;n[a<`Ʃ$r=E{(ǻ e}68oyalGC+4mos8/{bNx8[6]eۛv2)ń) ە.~|]'ʾ\S͗P9͗ף'w/ǣNvn/E-U^ b礴s::lāq=f泱[Haiwwe(=WuQΧg/9#>]xwt܊;5>R/bEP"^1JC>*ӳ$"-F{uubpdahw Dd I5$ <0  # A"$ jBtE T @= jBtE$B 0-Z xmlS \ ,6@ҜO[uivp"Ѯ ^.|]|;svKgsl8 ڋЎ$,zF*NzZGhv7 1;M>x'', ~eB'x(~ 86߻>Oۯ61/A4F],-Ph4߾RLw-B_s7Cc$XK3,$ݓ}K>>'}Z:tL{ݺ1Y'3X=ieX[LYM'J^ڸϲZMoY1/q9|1o1G}yT| -1HR1/P&wj^9L[*[BY:=sӧACj#]#eLPs'YG54bc*խߩʢ`ῆG C^>)?^#;b|VS[U|/sۓˋt|C/W__X?65FD?bR;y\Qe4wT(%YH_@[VO5/;8Pc{?82^Z |eQ&sO{PF9- WFٺG| [㬊!_F&KCd(Sl5Ok}m<~ _)ʱoG?p! !m_Ǭb{pU{qWQ?Y?+Ǧ򝘲WNMJ\K)ݭO-,nx~};iqFǻaFD]GXZbIKŠ>t})Oy]<2h<)u% ![L~ )I_ Й_@65?*P%.ᖫ4@p)B٭T a{hTqhoAh/HP'#v#m;:tА28kײTB%"4 pG;k,?Fxkz*>`lw4O 9 1[ #!1g~"v}u,o˄G274F-x}} I:N*C9g;" $KB{EнC/37P;$]~}׿^I~=>龿H߰ z#=I$SU,=q%<^/o7+izOc^5? 5JsDW+nvPg1JnP:O2 A ֣|On^KR]&Gt:#-g%Z!IVtb ~B[ұ`CwC ,Ynϙ -f3YkpM=䴃Y@ # [Dn;MU R 6_7@HW82W94#fˣ456Y)s$x j>A#3N;2u 9^ /^:zpW#м{FO}N.2:ã@OAʤS_s }-}5lǁɁܟ9D{(AʤSg\Bd㟼7@%#>kl%>!7ixls}$e8Ny) n_f9gԵ[y75A;&Jǵ`cVf -vA5lz)qzTx&s|+R:O?3}$/Zs6s! 0~92kyš' pn5qf5If{p=8|+fx%=23zdηa=p!0]]Ḱz>3ΕLV< a ?n^~PooyLS_/5rϯyY]3eYR*I[2'FquqEBd91D:=tg>N=Ќl5eddJT460hMd}d)&!4[w[~pb"k) فf#·"~{p\X-wR|΅sss=y~d|Hg2e>F E˟n*.4a RH>3*˟όwzͬ&,&|F Dž3kf=ǜ6YrKGlQ6Ḱ|-l|fD%Wg"~{pzklS=j`7gZ);!yz?{6{g.nAt޳;Ѕp;.ɓTji.:1a~p aںUz6NpSt8CTaMs<ò\>bH`d,p\ebub!Wl n@1XN}#wD~qKEJ MЃы"?򙋝Qpy+}Rze>{$ nG<-a\~Icq?K/ang5)+~p9ՄE SM ţfs%:}aNW.PCJ}ow~N$;;>Kc;ԧ Oyw{UKmzd z7y狿[ocmDzV承'3U[0~D}t4|GzOZǡt۝s=1i^;m8uBjL8qL8TErC"#PaD%JDٙŭ3޽}{of}HH;xƂ"hб^0![1@Xm֡A?؈ABuwjMTc W6~d7j6l^.Ib)(Em1]:w6Y U,噙r^!"!I8Cאi@#THL8%˻N槹!}{! [@BwCy~E܋#NCF.&&õM f\E+ZB;n7/Z+IKsk>_-eʧoyn߽߉=VCc}oSbl!XS|vBf=hN}弮Ei+!PʣXwXr[}#]6m٢E+t#z;QS;ˁkQ?]}>Spql<}(@$[xͰ%^jc"އ|ڟy`C? 9='ѯnC*UK1& $kyM@r٬T{!'Px<h1<*9 v\+O OҼ؆O>cuWZX-#Clַ^iӎϛCܴc%<fTү*NfkB_4bz_i}7b~nʧPvEߪ 2?OuOkeOu_l.o.}aqۿ=i m3[eSe'~< _Ez>o+krqdFt섙yϤ(ׁ7?͸j.$a dKOnm[tOW6Omyl'_FaL=|Ri?l!?--Y6摢t߳lF-ۄ-^ 18{yu_<%5Dk 3khqߔ?Tyb M(.k[.kZd_Nl& +=*_\f9d)'CNRywٳr^>$/U^6<CNRycǮ?fl.WsIڹKi>O"/i{<]n]{F}s^>18 b@S?ǁ.}lW+l__m)^mK xs pH#^Ra!x? C$FC㘱'G#َ%exY|)%xowZR+ɩ3ȶV^ϲG.-?oilѻxhE=q۔aw9IGA-s w [x c{7u˸  W,}61L-*c,Orl'BKǖxweb9 `Fk=zyy7轎>a#o?Bkx8\.JAXv8W(8ǹZīɀ3=9xp 4c jI#,Hk T,H?7ÒO.ss u⹉4G8)cГFٌ5.{ IcLm>҆&G6qMr k)yR +?R= Dd I5$0  # A" jU4ҏ-)^L v @= jU4ҏ-)^L\G 0-Z[ xmlq|p18g .8s?܏*6ԀqiB A&?h9iAD*!UHUi/%ۂB4U[՝yݻw;x{37;;͛; bnw uq vlXiؐy4+Mرdnנ5z+DZhw tqeq*9xEy/N g=vۋy{||vBҴ^!hk ;BJI- 4#w;h.~_ވk1 ?G274FW}[{\?I&{/BOR/9kŸ.7H2{df&{MҽC/ӯk3uv]>]suOcO?Y$2Bڤ{O8KNd\)8^'?+ia^ ~^hHmVR$RuS~h֍}a)l@~`{y?:}N&)hl ud},ӑ&.k{W89T|u]l^E'^Jr[uV&Ox6S{bT ۊ{FZK ;y|Ӳh|Kuin`m-d1=dC}/wjI5' R5֚騱9fU;~9ƥoP/&G9n?z\S>t#B3HOal9o\Ō}#^pB{C-c.i@4j}a;O!~_'/sd)ϯ[[oZs԰go[U5Va\Fi#3~b|?3]h?!E|}qjſu/5iO`ệDW~}>Ody>b\%&%<:c :K\Pp?@OI<wq2cR<1Ib'Η{0wa<`Xi^LEA54UY&Z#0 ~7ml=?dڞ|+\PN e3ΖLTܿ~ );sL `bO/2g~#A}FY_igE6x Dd I5$0  # A"3 Do6U6_Mt $ @= Do6U6_MtƨZ 0-Z x\}pT?oĄ`&BHR%Y:vd(@;n eNVfhANvt"j j(cݽ{}˜܏ss~ZfHVِ>j6 .H^$^Wx7p׭:`0 Nk`,K"$! i1ŀ/%`"l Jͩn3< 0LJ#R5R隬W^E\BFCH4*kĔ"x+հtaW9{o͡xB6affO6:QG7/g:=IS˦?l%ZrX$irmxIM*Y'2)~zxVi<`Zn{M#֩ V۵bEDXX~a5^FFը!ªzX^`EqªVc*}Fī^5#oHO$9Co!oC[cdv0Zc GÑqEFik=㆐_ ֳK}FϙB~2~`ds##_[ͬ|g~Q*cԗ?m1H(mD#3/lG9D(mdBwQѬ3{F7tVC/۫:év][Qx~u4h6ͩy]h Juwyqǀb"1 iZW3{}e˖ƽѽJJ\׮7 ^-g{Qz%~ٲd?)S|oO3>NQY"NfWrǖ$)w)rx#*'4Ļȑ" *yncKmzci]Ky]`,9DVnX>JyHy*K\Xb-cahU~G|UAI)oL̟SZ|J ?l)-6sZ|J.;Oi ˧̯)-?"+~CGKP{muh(2U?pCڍ~Sc<5yRo5FL8~)(w û,@;iE^xКA7DuߌQ|߬jX p)NFNob~9O0;4.+0ߣz}9Xk}zs: {rG&,c&\wK^+ a % ^e2)$2v=lG ><*KlTavf^6 `nī(`3rp/uVMY4ENd6r:D62yv?Gڔ_8ZvRaMViS'k;o\|?i)(Hը'QL`NgV#+?h,W-8Mmhn; 'mEad7]^}_2=8v]=wgB %XNx2`ciu+-|OHU_4e_()xܖC׶.q^\~{ӷ'8}ٱmvz)6_)M%[ lYUxxDd I5$0  # A"D`7ێ @=D`7~ 0-Zx] pUs> 6D@Ry FRĐ)"ZEAA4mlm:Ei :Ӣj8vAivES"ڢց잻w9l `9~{Ai_ BG9q=!5ϻH )5[Qk2 SAA )FA j؂ׁ41 5&)d;JȃS5!IcVD cH&\d4 ! ȄWZ p on`rP&Cf3;,wG|"ޣDpUWXQLVoÍ cXxHmFlǨn:eo aa? z;ﳶ7G%morq .e B:*iJAo#[QQ' L[r*ik*3`7BJCǾl`7ETV#"`dfYAI[iɿ+د4OPI[488_beE"QC8x~ 6{5z|Jxhh~Bt~:*ikNO݇~W a'(ρb=TV-n#؟w6#(i;ɱ ^_ -TV gh3A3@I[qK|3i;?2埅%3D%m򞙯'CPeIXpPdN̮ 17'\ǮSòqrA\Yݜl̘ },'\L=ʁedIBX_psQ|0d aX8;a+pZ?ƒ=4\kZwj; N hW Bl\Ѷ軄ӼN|5ga6|&5yٓDC|>g-g~3{"6ga7\ggi>q/T=>>(9qz>*bZFlWχqO"n>{9V[ޭ|r] ?Ku/bǽ_>3.|Wso+4y7F}|oٜ'%{4CqSϳ6gKn>.υz=!ՈU8;.E>m^>{b6gbn>.{ !r?ϒkyrĎ*ݙq7\ObVs>E>g-|r]0O=g/I8p٧5z%{;6goxu|^Mh;Y 8-*p~ YgTH=! "Ruvu帅K@f}p B^N~ץp~%ޏuAa_7Ry~Իj:MT470T(q0 &T{N\>e7 08'F)5d\F"werw }{ ص#IdLH>*0?0_lhW#3E:JT8  %FCjwm&Vm_G}V2,URJ81'?zs|n%9qG=J?rcC]all6" Uz[)aۢX_s[쬓 uA6z>6]Gd2l!{O)lv#CڠbW4F!{}PYӞh+BZql(+<ʐ13kn6jϭjsԞ[,a?Tof?e빮 .pnyG='Tϓ 1纑~ #&/pֱ> sPk{9ʄ9A}8\4=&7yR{8K_ܾ-t|B +oJJ1i][s" 3,}U O 1_Dulbt g> b!0oIJO}8;q ]NmJLe؊%kN-1纠5: kp,_\ck9K i=#G{2x^Av*^%CUwcSc'n;qӖLq8M&S~1[1_ tJDd I5$0  # A "uMl+W PQS @=IMl+W P< 0-Zx[}lE{wg)[hkb+Tl- TR, ȇ$D#(IĈ$F4Q4h(00mݙݻKww;o۷o7v̞f#U!XAw@i͂Z >E#^R?ٚeXLD*EBs\)D%Hw)R='hǰ%\tNYDKd|^.dy$+qC ɇ46OW`#CBZ O\ Ih2pjz~Bk#&]}] \<z×]r=^G>W:.%y{z=k='}}wK CECȧqn3 P^ʈu4z' V{j 8@as`rڎՉXc ?X/ XQ"2aɀ[ֻn[/vtsxQ7\} 1Z|+^QnF 35(gB؈TsY'5"OS$Fc::_%h4Սby+>0χݷ“ao] &R΀+NFCZ~}+k|=gK1*{~u˂WIϩBaQL=.U\`*Mxgf$[ѹQISmQEVbjLtTPa#*5^٤PbyhSBZzZR?S'y=J>_2OSkAmF(≶qo=W5@S{DWJ𱒋/xof}_Ik1Xʯ+|*'^W˩rET9]J/Gex7\S ̆`a^@}Q 2ؖܣk/i\FuZjF\Xb)JM.8 ænl]$46݋ӮkK2'3[2~(3Kdw-V:ϵo&sH7ӐE/P|fw|Y֘yMJ݊5m9q;-\@'Ι$r5tStZ]4 D}*u7N! ߧy[kPF`.sj%DL]''{ p}?k+?k'F>zux KJ6bb]cV갽'x,ZZX*bg"+/>u,}oii:\a ju~7=[؃[C~LNJD] +V2DQyTGQyTGQyT>쇢~g<(Ƣ̗ۖq;u_.|xxk\Kc[9U']_.-iL$@q $yg"qyW ~P\R=[iG{GFǛ-de~UX}I,AP[}YO?c5km(+&Kfdg< >${bg.me߅ /g1.y'Sh{ʳhQ.y@~5 3v~;%D~ڜDcNѾywZ@CnѾdOs;\ Hhwh).yg5Ke2 D~Ub"$D;!|s΁8Y.=*NHq;\^`3>yb_ cQ[v\4\޳r].S^/`z7bzVϖe=4V|Rúr#wP0(+xvn=JG\煫PnY3.o֯tPlAF6V23 m,/-3"DtLm6:F[60 }XӸV:Ď!WUY宸¹r8۱&yZ)d 4kۀ7}Jyͣ)˟D{J/C_=Ȅ#?vj,vdJFuOџ)O唧ҧRw)MOP} O+GvOXN И"׺I7[{ҖcY>(Cy.YvqDlCl4V 4۩U/t6D磾8y#5yhMw􎋮v3VXxVK;z3nR=uR=u7~{??@_nw;xvy:_WHݴF=K9voc&t^T:Ӽ(N_{`]yl`B/4g/47 72^otB;fpx!A8/,0AkuqCq?Jg[e]_Ș =`r->(IGI_ V3CD{0|O\pntgť<LG 3?E|j ao&8?|l|l|9->^g ;^>*X|_G Ƕ30->s:~>*]=cUctO2q/͏Gn(u0\ &hbC2r~ytnM[уfX0(ܬV|{h6A73F.2pxn@qWl-dăs%)hH_Jyt x[}lUۏ-#)iikkKRbh4R @5A06)" !IgKDbP#_#~R-?3ݽݻ=Kkm3̽}ٙw@Zv Axu}4{TH>y$,a^ `>R1N7O` <]IvdnAZdgʐY돷zd^YRy2^oOD{kb1HYۃTC9صˈ:D%ZUo)=*CЎ ̺+ 0Wʾ3Q/uQ/\l˾ | t 6 :ik'?ʒ^GޕgeR53`RFÙs<XuJÏ/AXd\Z0[,XucEc"VW{ ;X}̱6aE6ʓxn<7ύPܺθS/ʦg3'Fvlƻ@̍Bu$7M?U]LH x&yԀ}:(5yx}846A|^' >_HoOvX µk 3i-XѺr&1Ghٵ-nٶ3gD?&^==y2$/ ^'97_oŽv<~UEԐȯr[B|w.E^/:7>$IM7)E&Q ]K!M#=*Q(nT %}EFzk@lC\D:uMGU:’ɮxn:3A{c;u,wS{=k!uTѳeS߿|Y{M'(;hzW6d!4 7+? K:n D?^.qs]LT~1y?h8*N>47?ԧq| tS֟|sgWi%8a3@>Zrˀ޳sX$,qg^"L 6- 3E;{@cBs"|b,Wh=硜9zg)C{Na[cozSx|j2"̧OS_[i>vz߃C[՜ xX+<&ׁ0uOZ?kGq}zΠ lԒŭ ijc@SƭZΨ^slB1l5mqOE(w [-r5[h#׍g<(-\{lSˬY2xƄ [7sݿRp= h )d #5_;GMP.Ga\v<8 3?e+ߣײC}M)W-u)Q~cwIi.bkX{TaZ c%E`~NS,uGC-'Ze,x7B[&rkU+,J J V|eƳUеR=[2 'eUzǞ[÷a"4~U'Ԓ-}h7x.VK/AOŷvʽ|Ռa5{| i%CibZ5"a@97NFjX+~p?PP/@,EJ'ڞ{ڿ7ر缀 %+_OJDx^' ;̩ J>ٻ@>ow: 8gwaԚϱ췜ϤD37,b_0 Dd I5$0   # A " YlF:z0  @= YlF:z0Q 0-Z x\}U?{{떇Gw)ʢqE nm,IP")mhy`0@*U_a(iLmwVxw{ܷ9{g7f5NP|@z[`c0~|h0mւL `J# Vb0 (7v!lעs{-*ӛ.x]V4:%җ!ccc0]kQt ek;V>FeA )s)7a=i|,|=ȏdaTڰd +~Azb8 g5=9)Me 7O|3Y&E2{1oR݃dqSzn]C1͗e0. Yc7٢ݶ~"oda>Җ ]>^L M}.GG C8j}.Gg t|l}p(cCʬW{w{M!s_Żt~:;@da(祛4x5 =t{Fڞ?nyz}p.'ўK0wԧ{ȺuTW 9f%ϛ߽۲/=+ V7\%.З o+v;[uZ_B뵾&:d使gϨ'zCsyљ-]ɉSvYa=_Ny'MWOy]S^׿ͼz5^=ui޿ڿCiiNs.\e"\q뭾N+?s ︨t>.Mwc`]Ș8+׊]5bqb{J>hC%hT:3r K'px!A(ľ/Yi'T m D#RNUHNL@@ \o}35kc|u(IaֽWH1Wz։\a٦@pu8/^͹c 1*>>>>>Oz0nA}Ptj W͵V[֍ BlۣY}o߾kcajm]~u9.pm.NH&Ģu PFIۻ ktIw}=al+Yœ?a RqLڑ ¹GpÉj,\r Wk#}ǿظ5}ƒ|FcU}p7veٛ}Xρv~~:<*a5.?0P>* vW*Tj*6X('ө( z{v vPIPy3Ǒ03l_N%mvoQ`w@lߦ7SWp[ne[#%Tx*#\-`NEk>"=.j)YegkrJڮR;1#dۈ6d׾z>rZG%mS9y Y+f߉Tڃ(iJ" F7ǨTt? vC2?=CIG( v 6'TTC0gCօTvqK%X"^^;k.u_~JھJS3v\Er$P,E,Uob,屒ݯ u,ˬl=E3[eQ Dzhd,7QeOއ2&(<c}IdƚEfp#j{ͧ:7XAm̵ﰲ:ӧ*CQ7}LMocF>:>&ij8}* b9|Z3ӉIK XO1߯ID P`A|1_by:>&|(g|s>1?c&S)J,b٤tcic|'>v1E|>X&G1_tJ,[xUlώz ϊy@,|,:cӉ|(3>x蘗%\A,4h9cS\s$ȯX1>0Θ_u:/{u߯spyy;j=qTGg^yNy &[/f;ywmou~9A[3G 'uК F%@/h@.yb~5#9 ֵgWzWw\_5tO*.qǿ^Sd;)V(ڌoDO3>dk-{~謋4/ (>3c7+γ5oЊ#b=Q{>^Ma ~vǴ~sgߜ@ǴewLNS,7c7On\wb[@?-5 b(Ŗa_[]1qa[FFyL l = '  {qt)~s[x6װ8ԐavQ\bޖ߹mp拓m,_K{/vleOض]VG2ǵ|7L ɚ Dd I5$0   # A"A zY5pj5t  @= zY5pj5tG 0-Z x\}\U?oΰ[5KsL],UZwJB-AVLC7 .Kk ZBK@!MbF+AMpkiƎ޽3wǼ{Ν{=܏s{& HIԟ#lCHNdQ3H$Q+WyCb7 Z 7wӨ 7QwpK8mN)ݞK4 WR9X"|"O0340,/-R/uT*[hV *ϱD9;ϱ4-3eNi4czOdWCH=7K-;"ʟ~\?&GΤ?R6LE᧴RM;Vj ߙjV \3*{MɳqV[V8} E%-c? 8V([~Քz\ y 2*b::Kub"+5=8{k]3l+şEͰ3PYn]2`ڮz8|>_%"^zʐcҎܫVMJ>Mti zZ(muخ,Rz,8H1=>1h nPo(u<|,Fk/#~B붆1d>fq+r~ݰ կ ;VYC<%Äfy vk&?̐˼ ֣&0f,%=dAF ] =Hg#2W)Jp+?7CEsqdyƜ#f49[w7hsJmVQVˍJ:*D%e^*(^!KB֘35Ku>rer1<ƺd~|A{A=ZmμɰZE~p>joV/iFDVv-GE5H<-ǵ1\i~EXc#E. DgON )=|;S39Pj;XոA4?EoZ;mn=$^㆖ŽÎɴs]|W}˓) 1!aM1G-Lh[>Ȣ Tے-[yMQ'v2m`<ӏ(=7꽯Ĝ9, w&K_ײHKή2;aXj)} <{ǣ\;z5~w;W=zO{Kı*}2QIGYݨ;tU v%e~kJR?wdcYv|- \%J;1INo{8Cbz3Ϯ$!4ay25βXTOBs.;z]5\o鱓Eݝ6gg{so{tW'u=$M w2u{;@[e:24=28ˬ#@9 qܶ4=2vƨ#@`/ ΟlCҢ!g| Y`U({$RίO!iqGX=jJƥ^}~jU8x.9CEU}!>A!p 0n9 ;MZEF |H!7xedXV4ܟ#K?@w;k9 Tj6Y`?ǟnY?l;ߟ%-luW}狈|g> O'LKZs_3_y~t}o%->R9g-hShTγ.e_U\ D6}y_oJZK{}b^U8>ڢS/ǵV10dGgm~v#]ڬζ͊y^_FpR~45Z>s)Q@,N#M[{UΊ{G/n'@s(wz^+yKWv[*֗Ҙك,^.˫ff?ue3s/Mo;=}/p(i6nJu;/)_3)+[9uaxޣUUonj߱`4Lå[b) bB.Q)iG˽82EUWWEBGeE/FaqHVB?aoeۻ;҇{͎EsYs<}6n+~.Ǡ=w87ВU;i=>_uy6?7qk)掌+4z*۩.u5NKR%ڊLIGȻ㼏7`>sc]WyyafDkNNrLc Dd I5$0  # A"uzCV0wrː% @=uzCV0wrː%B 0-Zx\}lEwG)WS -RZ> [Z*hGZP!BAjc*0D%(#GC"14'I(Ԙ{3wswBwםy;ov{G40bǿVUΫ`6 ,!| Go*HHnT$_ ىE$ i!]@7:+AlT˦.Ŭ+Fxte(fu 2eAce1 kH/'Q,wݯ5G,^v,6$FgU(#j~S\TB>ӝFbX8mFt6˖`ixn6*=e ixn6<S!ic&۸/}9ƿED>E%Ou?RKS]/T|D>E=1޿3zD&5vJ ?A_ cK-^ ;>j3(^eNkd7Z}fJx:J Dd I5$0  # A " 2#{8T~Ôd  @= 2#{8T~ÔdM 0-Zh x\}l;R4!CLE!и MFMhDP pBD (B? q JQVQTUTc@}o>ng?λ81=ygnμٳ;P\ @ϗVwup  3\ 0aYpR( (Xb`lLףCҽeԝ[V7.a*/.+ NTpӗ̔P.ie;V>JGoCoG(; U?}^5J~[9Od;,|f,YB _~~,6o‡Cg =y4QyC3Y~,3V0z`Zݔ87i,뽋eZ.)W\!\2&ph-mZh+*ӹs.efPcmgs){l/Bvwٛ\JlMemӍ6sFvKsX :Zoqֱ!.%˺8QWf3{Kus\_hAߥ].%vvs3|:Vz9`'q4UȬeOq)lƋ]qn[|!cWv6_{_l/Nykyq'^:gѬ Ϫ3Uu*rI:|(<}لCL`vVRad:O7P '{Q>8-k{WQ3r6Җh AXT]M`E>hF ¢hqt&Jml`@t{sN>se(KKxUgwvv`JH|ݝݓ)x@~n]tl,r?*7s'Q҇1d=oboyrغV?bTW#uEA;e d mq}Ca}}[&|m!ȖX<>٢_|(,W%|BkzqDȂ|(,cd q#PXyKG-B{8|׈>?RCaqGGGx'-lǖ  JG-i-Q|tgDPXV'||3j (>}߫z~_";;TشqN/q_W7@9.VsZ*,N5B}}?\yn V%~PN8~.%^l@a`?O$q`%n~~ACUcNJ:ǂ~~$~PNq8~ 뜠(,q?hO`zGHQw#ci?V?譹؊{ވ煞VyvOakηgW=M0nŕ]hoK/nIS,vһ5b9V"8Dvm+S6O^3 ϓ%GcLsCWZp\:ȳ¢_p;U#; ryǰsd S\R6Fs^B?6}uv38nA N%jL] U\D%IIi@ZPiURT6RP\ZUM?Z}ovnnŠyQfD(րnHhPr7WZxdžuݮŠya `J (P$J(y4NRL!(M-*y~u-|8yp%RY,;c*A@!\CCC0+PnJ=J如[ZE\\P6(USJáB6:Xx_Wf3,CG=RCf<<܌avCuљ*fsP(t!Na;|)w {2,Һ(>E{QMa#QO6i71`"묟tUȅJy"&j WIWI՘j"UW"AzAzAp_A O[l[_ݧvfG,,ȓjE{6( ul 7K8IN_t#w l6}\>N[h; pKWWU% 1cdm86Ҷt"EfvLXThBg,Iϫ?=v}x[ߡdLr&Y]ߏ x,T:$odrX РWQpAq5 koļ7ғjAI}@{INob@^? OhJm-&9μyTPP:MIrD뿅:4(i ~\'?z'HA% SylCQ霤=vIN|Q_hACeLr&/k[cXaʷfw`/ e-==@&h_Z9bc~lW\w5­s }Eq+d|f).㭪3d).+Nq5vvR^KXP[YMK(FL؟[h okC (k__ff_`GM0Pv+A5˸KuAWSy-J^,#vAW_Q'WgytJe2fwӋWs|PSQ=D\xg}tHؔlr8.lJm=Q^Uhᷫ7imdl`C} 6I??`څU+0"۔ u@/ )_dۣ2/}ҼR?fiH6267t|Ϸg}K[ xmLӌ}؀FX@>R_I(-ak_Zl(Q>qg>d|FlolgD؊S\6j)./jV2MnÊS\;"V2>9j).q~DƏ}B7ma:ǂ?D[5硑v]+VЮx۶޴1i|52&4EqG5GKce|S}y01du/SLAxƓžkF)׺z />h)d?C`^k[#ʺV9!.Ȗs>9 ~vr"0['El99yK4ysҌ4֣d!'5k4''Ʈ'El{~8>GwrrI;4>lYom{pr"0~2#JBd?N~epG1~25'%leR'?~pD`]'El=%I_Q''djpRBŋ%1?99uWprgM#CbJIijG^#gVڶB%6Su[e$isNo. L1&/19XSgߔlǼ݀5{?V`G].LT}).=x.^,a8}g`ɳ>C2ε8I߫-f mpӐym/ß ~߭?Im环ν쟅 G'pAo+ߛ-m:>/5: x7l}X-{ߢk~78Yw"F3)LFMžoVObz1b^kуlp lb1?Hd~53wza,A|"S & vMZl=+-/I=_T-P^'&x_0 ,ajmXVJqg;7?w %?#0َ\?ҟVsŏU=ӓp/VGzXFEJx7HuzX!gLzmqZV[`qZ)-/{9^Hԥ>X>?ۛuZwd:aiYmmLޞ](%l|}_ױF^va+ᇭhl&a+ SSӋaζkK_BBq>_ .ᵅiNK9LE>/ev5.n(docﯘ8}yBٖMfi55n%߄Z 'zvmDd I5$0  # A "k[=-)G) @=k[=-)G)w 0-Zx]p{b"$6%_JAL$ 68CtqdSjΨ#- UŶ-8:  ۷wny{~޻h @ZA>2?BϩRKHB$ӛG71B5B>tg䖆0 PeZF$T^Y42Kju[+ ~ ѲtQQu:\?C%|``d HH䒴[^] pҰU *ϣZ|&YCV%$ȸ3"Oм xv|p$O=\4I9azށtڤX rǿI ^ ow|7WV 1ki%|&םA~A~Ap%~=Xx"T`n۝ĸJ?y c ccG)nȋca1G4Jʜt2{'}q`^)[}5҈F(GNw &¹ 'nm{pʹ$z(2Xx{|m /g ψuBs-[2u>,-___ N@/q/)TRf;S:kCi{#4fPI͡TRf*p [iaXB%evׂWTRv*oAI~*)I`W2HOJPGn Y*)sGlc`9O3Ǎ/)&Jtυ*Xd.O2sK7їr_ɿwKE&#SiQߠg1-L=EZӢ8}{?4L>.1>q  W-!״tLCt^r-)f['nXo32:ݧd*V$ݪcu~uLfWUagcuhV4gF:pBu:y\dgr:d|'㗯º]W{ݮh(t)ĵ,Lߗ %ɵ) MuO|m]K͇t]'Vx҇&ɮz7AeU ^(gi]:?Hb1%?HOVL>*?F;ҁ|_k3p3!ɯ;uH͙mlS^3X={bqq,Mcy,c XEnmTĎ,@_b|p.cy>s'؏+8,|"LĎ*|V-HOۋ>sq/T팳~>+Y`>*bQ^8Owu~|6CۃEGBG|.||dUհ8{څOs.`|l~ gSM'ۊϜ#>E>7gou~|6Bie=CqYϲYS''p ݌C.|v+ķ9F[ߩ_8[uu~SoHM#v/Ww1'\7NCdt)9{}"cgqG #~E>,9G |; ZguF>P?N8?8 YRfDȗ=!$;/|9o\ݜY8JÅ Nۍd׊v."Xk+ m["CgyYn6}K: 'O O~ 1O|2ϛ 3x}-^= >?OyG4;#Fd)س5 @%Keo}{ #ر#e,!2y/j2gId̨+Ȃy9{~cF[) #L%,_L#|v,V!,|/ɭ+a*]ڳa5OjO9T.i::Z8\1Oqѝ.P[ ۳Sd#J~+%Lb_k7Nn}W S}H.U#pl] [ 0Lle!rlmVw+`#qVڭ q6Osi/BV±̥mĹDJ_Ca}jZ_>㡯L+zp>e83]3n}ɍ0o*1T e]u^+mt-4Ha +] OsN %Bxuap_cΊئwn,si $|cD5 ZpH rO$N:}0k q F1kvejmaC:}1}=[;@8$ɷ օ7bCk=|h3;ݕbek (Uy,B+h (E AEkJE?hDфĆ(1Ƙ1`\1U,` z{wvgӹ瞹߽gwft%oI65̛BѨ9DLj,*z ֈV5hu1b4]5=.W2;Qs K 1M F7%rqlCMcpjW69 )_!lDi(LLq1yl1^R<چMLk5*7*^=_nZ4+EtߑNTL`.=??Mf |?Mсc!>׿LiC:C]Xw,E~GR Y4qfq~<]T'xm;0xRf;%VzӇxj)|I`?VXn9s*9?)DiW}aizhSoUyv[rLQ+d믷Y'Xڗ71m]elnO۬ P:Y#TL.<#VCʡNtgdLΞRY$6/jlW~nV<6.P*o6 娫B9|V(G]]1ĻXbf&_#0Vna~\MORլnqdT-W mMkYh_ʌSiZ.FᶱYPSm#YPC<dz Ȃh 8SA+)K<ǙkI<4kC!J_o*{O\ʝTي8@mӗ)z{+je٩_h1!pdu,M98;X\x'\O㚍[U,Zڬͼ>_ݢǀmy_L>갗*E?_*޸;] cդO{ϝ43׈.޿)#|r}|f \YZZ:.] R_`0c|a^?9vn~UU^(G]+ʏrUhP*.;rUB9ܛ-ڀ7n(r]=Qwׯ/_*61]~[=AqMwXo3ۅqLʂ‚86%bJ,r3Bcc Kkuݺ2*Y') ^K7mi]͘  L?argHYP4Q_zpxL3>_mX`5u | J) 2ƣ!£/X'ז)CxU_ss;Cʢ1p_;anJ <"(: Dd I5$0  # A "O K7ZhRU+  @=# K7ZhRUZ 0-Z x\ l~{?w:9`s4).$CIDRʟIb (JkժBki Ҩ*"TU? $ZjkDn Ԫ{3ws{ bPcg=ϼ}VH7#lA6h`Bo p! Pnaa `:R hPJPS$;]d"7նDszC-!VrEu-V "}yzddtҵ<BC ݐq+q[OmmW#P> ` c8]/ ç0$Ē)H ~ kTNWHـtnxҔ2/?Sgp;.ɥڢCZL#Ğ7uHɼlLפ4bS. `կZ`p]ܮ VGXQM6҄T PL<(ʃ<(ʃ|/|-(SCe jyBj?p*oSxyXlVFIrU RNdMۡub(kvhD\䯙L&MqQlҘmrn'=z|d% R&nԋ`E~XUq@XcY֥\g x R )%O$9}A}~-ca53ʘB>Px(/-tC/Gܑp^~e|Q\ɨ)W3徧g ̽LF r r=F^h6(kV1jɟC!v3/?d DYs * I1"ʚ'M9PW(T?ol"DYy>D|$if5%swG?{%e^FΕCsHo,>ۈm<˷KO19Q,2#X^uy.k V~Oyߪ)/?)/i|Np]mgh/땤u+t MVZG,SfBFW7 Ӱ?l/xG3&B5ۭnژͭ(!HژÎƋ yJm 6n6g9'_e1i)у4υ_qϐ};lSlh9X{ZtOn *IvcekAn:<З|kޅ<v==#Qny|@/;iS9婾Iƥv+I$a9G>3R;3{m^.5F4l]? ;׻/mb{r f_c8"2+U.?<2Q/Fx`NT剗7H]QwNlb>طҳNaIbb6Ĝ8 <OH޹Fj?b`=:-\}[{i+;nmyN;_[IH 1: r㸭$-ٙ) :Y׋ZJq7v m8^;fYvLʎo~i͹&(ټQ3961qEezSqẘKq,/5>;5{woZ9GFv~#d}V_Gs4@34؞lMlfZan%}T?olPesNrPhWMi>U®]mr;ժ"6K^=']_žG MAoARl=񐷭^c2~jwQK(xc_W_ \@ϔn+zl[I{X:{ a?2}8owUǻ: ϸҸ*huiu;^[ִ_4e()lK!rQPi//S-v_}`Ʀ|W&Ԓo? [?a~Dd I5$0  # A"5k[& @=5k[} 0-Zx] p{>{ "M"oHS}| ~FRdŏ $-b:(S##8jgg-3Xѱ~*Lh[*Co޾w #sow{4BR@.GEq>:B]@F^%7I8!e!tur(h*HlN#I8/mGk5 MvDN Xzy SuNCTYNk$s^{{{id;T@Fdl{ZۈyydJ^T ?D2SɭF2tbRRW:Y)9I) 1g ^n}(rx|@)sz|1>FRxqa&a=0RdI!9k'5']ʼnZp!Q,ǔ2&*񜫈Wqu.Bia)e5JăUqS¹s$WN0>0>0>0>ߎ?0^sࢭ\p6?ߴdQ>k9D !}u+p:9p?ec;z*y6ѐxƾ+(ͮf~؍ cTf+ DHJ#qCK|3i;?< v yM/SIk _{B,?' ž^KKEz#[aQ?UcXcX?e1,o? S Ky c?*9yشuLvcM:3Ks9Ρ}CK1[N>%rQy\@]PUトG,uAyLPuK;1Q:p汄qu6|O֗y1d|1*I=[Šô}Za_Ҡ٭cxw aL/^)ٿC1L=aC$ܯyTilc<kKP7oRpr%C Y t֖J㊤%Nz,Gt1 pO_d|'J 1 K~y$[aQE%FIǰ!wHKl=EIG`f1,J+[aQ_cXo$l=E}WKMWKKo ]2>Xn@bש2s6p=ǹxY#c? e~~.2֯~NW_ S`Ēl,A2!p.=k%.^fl'q\mc?cY$̛̰"n>.o,e, 3 'TfV{<8Ạ62y@,jm:j n#x?9l#>X62NFjmd'+NNH}ȇwA,jm^שaq*tr1ܜt)s289? rX9i1r ש!'>X0NZM5Nrf99r\L9sQG]{=8:p(T8)r95 aA.KYLX)xɤ,8ύX*r2)f{G ׅ㮾a8WuVq7'+s289/ θ=|k._{puAVᅥ1/F>ce~AשÂk" NnO'\ޛ K> za'Ďk#l-iy.n7gͦO26Z O s&3uHĎ_*|>8磊|֓Kia:&bߠ瘨YK'!y[ENY;*b^ٺ=O s&x(믈T8s2WR>|ew)ܰ9'9 gY>qWc)c|6:3okƈGL< > $=Og7#v\T llVqZ팳|nW9uoUl|r]]3VokB^oZJ;}q74\EwS|:;bT8oM #y 5>{gcn>{*\g?b?'>ք{|r+]I惴2N | zi &ĺb_H!~u%\ts صlK:%^xyy= Q4+oCޡϻ*o[/ޭ99$Jkvߡq;0Pj;^H$# 7Y;s|._Ad@SuseloM2ad!_7`WÞ0Y?dqI֞+x [.Ќ1(lnjxJz:XT0 (iPWRWO~Dn& 3'Bmj<ʳaʵ@*OĹX^r\upMcG9H?Ȱ_lx`C]Al-l6"x[#aX^')ucT(/\w1ͤiB6" Ƕam6s`!rlmPVs`*8@y*qA_\4Nu! fe`ߘI~d/kvI3"?IJ1gjokvnL7Q aW+?:6w[n_us6cm@4N-Iayo=f.:>q-6 lE5 'z훹.h|p3!78w'τc4ӑGk؇ĈO_)e lKVF]WI:j&5`qc  մ.!y̜9eVC|y\($(|`M@+Wq%3& p5 ]ny&\wI8[dt0)Xj==Bס\.lgwP-Ց(b2鈱L.p :AπbzHy*ғPt  ev6T"?FeA pgO^zXp' ?/dF?L44`C=ln|נrIÿvAar\d(Meb$MÆ!S*ދ!;3ԇ@M{&m拲5[ 0OlrU,~cZX"NJT(o>Pv$$V&(RXJ`GQyTGQyTGQyTDzߍ-*!ѩfsAu.g|^ |ppԳF_YY'MS/unyb$@HF'IrAΙfOl6[fsNYzS1EؑNOhQ;{wAI$-XQJN2 T6vt,+*bzlɧwlBF&x/`QyL}Ij=$ga5^|J޷1-XcsPQf91fUmWM1~S^wQb.9Z1)34ʕ(Bم-uww,:RWs%FY 5Q?=cڈu\f{-wRgv-%WZM/|5|-z#}}"WqW^2HV𵮤(g|m/5/M;E8=X8hu6mx=,snKy}WKᝄXϾTqzNOiLޮ{vֿid:w !гkF,:zdR{ ߼uTWkc(ꗭ02C&-?Pٻ*X_@>ej{_)OXԆW5s;_7w;Ϲ-ѯ^EhM犲)e؂` jv!bZgQ&+}oH QE&b?gnq%ZO|ޗRݎ~=oFOzʫFӭS^ozʫ*[OyU=+[ImwUGZ'x\k >c\Ojӻ|AH}8(u2 M/am;zƼco3~QJBBZGFgn{:^W-V!A8P,4~rsk6&56& ͵ayFhElZ#lBP, ͋ocM3~;¦t, Bk0y:ǴFv:ъ^"lJBP,Go+H]1o& `L%F4xv6(¦L,II?6RǦ7M9JD?wj*yT: yKIieY[_3PlCGP9;~J]uh.5x-6⥎RWU&& f{M+U?o+uF9O<6GߣJݤ2.Űo`;%ld>D3=Ώt$dN3ە h$hC6 97TcM# ߒ~N77 Fv@r`2UƂSܱT,XO>NG)߼xK֫c:W~og|~m]F+!%(,iuY??K\ Dd I5$0  # A" yW8g1t g @ @= yW8g1t gK 0-Zz x\il\>o-3㸙 $;S#Al(I,@M 2bX*?@rZ@D[b p]f[fC2x{9sy|<[DZ @ϏWlh:gMO: h'| WN6 5!as'rRa}=DW ](twP'ڛם.bv'X[&W6w;% ˳\>A"iH3D9ԌB_-2^G6T#m5W%y)Q.ֳ8MY, ː3o5w1kƳnp׾2f^#[ģ넇"=p Wn%O&{/޳Pc~nZv~SyyX6DJc—Jjqbu:Z` _b5`Ɗ6'ueL"**Q!&1?c~̏1??_o1*TJ{Mľ;`sd^"IumTh+/$+]F{~H8@{z P>Ʉыu=a}5ϗ 'U{:ɏWwG7((1 KB_e~%hZˇ$kQlHK]}SO*ѤXً~Iˌ ym XdY??`TJGT,Z1*C^T#h;6Q(uGZGYr`DJJM?uYkSDSh_}# Ce}3n2*&v۟ܤƴX4!FG2e[ 2E FEH٪G}lE|c[XBrsxQs̽{YY^9U|+*(S]2r^>+TxQάש,MG[da3IeKgƳ=O[ ල4f[QFm5ýț@53mq˥:ٻ؞? _?ӥ2?١Wo ԅ|Z+䟸߄u8qC`zxwkqxd\C9ƗUͫ02 `&l#Toou8T٢ܠ脑Ou.2ǁ*s_{sUy6S]L"+*j{TW:^9U3)WNuU+[K w1&'9Sg߯6?Y !~=}sO|)A12;<(e U =ήWR3}9>$mFZ/qX _(//69D;J_lL1wr<( {]ȯ8=bϥA|']Y/gUTV JϐDd#D  3 @@"?Dd#D  3 @@"?Dd#D  3 @@"?%DyK ,http://apps.nccd.cdc.gov/ardi/Homepage.aspxyK Xhttp://apps.nccd.cdc.gov/ardi/Homepage.aspxDyK http://www.epidcc.samhsa.gov/yK <http://www.epidcc.samhsa.gov/DyK http://www.cdc.gov/BRFSS/yK 4http://www.cdc.gov/BRFSS/1DyK /http://www.cdc.gov/HealthyYouth/yrbs/index.htmyK ^http://www.cdc.gov/HealthyYouth/yrbs/index.htmDyK https://nsduhweb.rti.org/yK 4https://nsduhweb.rti.org/DyK http://www.maine.gov/dhhs/osa/yK >http://www.maine.gov/dhhs/osa/k$$If !vh55#v#v:Vs t6554 sa k$$If !vh55#v#v:Vs t6554 sa k$$If !vh55#v#v:Vs t6554 sa k$$If !vh55#v#v:Vs t6554 sa k$$If !vh55#v#v:Vs t6554 sa k$$If !vh55#v#v:Vs t6554 sa k$$If !vh55#v#v:Vs t6554 sa k$$If !vh55#v#v:Vs t6554 sa k$$If !vh55#v#v:Vs t6554 sa k$$If !vh55#v#v:Vs t6554 sa k$$If !vh55#v#v:Vs t6554 sa k$$If !vh55#v#v:Vs t6554 sa k$$If !vh55#v#v:Vs t6554 sa k$$If !vh55#v#v:Vs t6554 sa k$$If !vh55#v#v:Vs t6554 sa k$$If !vh55#v#v:Vs t6554 sa k$$If !vh55#v#v:Vs t6554 sa $$If!vh55T5555T5 5 #v#vT#v#vT#v #v :Vl t55T55T5 5 TDyK http://www.cdc.gov/brfss/yK 4http://www.cdc.gov/brfss/$$If!vh55T5555T5 5 #v#vT#v#vT#v #v :Vl t55T55T5 5 TDyK )http://www.epidcc.samhsa.gov/default.aspyK Rhttp://www.epidcc.samhsa.gov/default.asp$$If!vh55T5555T5 5 #v#vT#v#vT#v #v :Vl t55T55T5 5 TDyK Phttp://mainegov-images.informe.org/dhhs/bds/osa/pubs/data/2004/genpop04exec.pdfyK http://mainegov-images.informe.org/dhhs/bds/osa/pubs/data/2004/genpop04exec.pdf$$If!vh55T5555T5 5 #v#vT#v#vT#v #v :Vl t55T55T5 5 T1DyK /http://www.maine.gov/dhhs/bds/osa/data/mydaus/yK ^http://www.maine.gov/dhhs/bds/osa/data/mydaus/$$If!vh55T5555T5 5 #v#vT#v#vT#v #v :Vl t55T55T5 5 TDyK http://www.cdc.gov/nchs/yK 2http://www.cdc.gov/nchs/$$If!vh55T5555T5 5 #v#vT#v#vT#v #v :Vl t55T55T5 5 TDyK https://nsduhweb.rti.org/yK 4https://nsduhweb.rti.org/$$If!vh55T5555T5 5 #v#vT#v#vT#v #v :Vl t55T55T5 5 T$$If!vh55T5555T5 5 #v#vT#v#vT#v #v :Vl4 t55T55T5 5 f4T$$If!vh55T5555T5 5 #v#vT#v#vT#v #v :Vl t55T55T5 5 TDyK )http://www.epidcc.samhsa.gov/default.aspyK Rhttp://www.epidcc.samhsa.gov/default.asp$$If!vh55T5555T5 5 #v#vT#v#vT#v #v :Vl t55T55T5 5 TDyK http://www.fbi.gov/ucr/ucr.htmyK >http://www.fbi.gov/ucr/ucr.htm$$If!vh55T5555T5 5 #v#vT#v#vT#v #v :Vl t55T55T5 5 T1DyK /http://www.cdc.gov/HealthyYouth/yrbs/index.htmyK ^http://www.cdc.gov/HealthyYouth/yrbs/index.htm$$If!vh55T5555T5 5 #v#vT#v#vT#v #v :Vl t55T55T5 5 T @@@ NormalCJ_HaJmH sH tH Z@Z 0 Heading 1$<@&5CJ KH OJQJ\^JaJ \@\ dR Heading 2$<@& 56CJOJQJ\]^JaJV@V y Heading 3$<@&5CJOJQJ\^JaJDA@D Default Paragraph FontRi@R  Table Normal4 l4a (k(No ListHH $ Balloon TextCJOJQJ^JaJJ^@J @0F Normal (Web)B*OJQJ^Jphj@j H[ Table Grid7:V06U@!6 H[ Hyperlink >*B*phB'@1B S1Comment ReferenceCJaJ<B< S1 Comment TextCJaJ@jAB@ S1Comment Subject5\>@b> !k Footnote TextCJaJ@&@q@ !kFootnote ReferenceH*bOb XHeading 1 Char.5CJ KH OJQJ\^J_HaJ mH sH tH ^O^ XHeading 3 Char*5CJOJQJ\^J_HaJmH sH tH 4@4 6$Header  !4 @4 6$Footer  !.)@. 6$ Page Number&@& f0TOC 1.@. f0TOC 2 ^.@. f0TOC 3 ^qyw +0BFW\mr &*6;IMY]hltxpqro%&'(OPQRSTUVWXYZ[\]^_`abcdefghijklmnyw +0BFW\mr &*6;IMY]hltx  !"#$%&'()*+,-./0123456  A:;^_ H"I"J"K"f"g"B$C$$$$$(%::>Sy12@Avw@!d6}/9lmnopqrstu Q,>\"\w!?r@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@ 0@ 0@ 0K0?0@ب~@&0k.@0@0@ 0@ 0@ 0@ 0@ 0@ 0@00@0@0@0@0@0@0@ 0@ 0@ 00@0@ 0@ 0@ 0@ 0@ 0@ 0@00@0@ 0@ 0@ 0@ 0 @ 0 @ 0 @ 0 @0@0@0@0@0@0@0@00@0@0@ 0A 0B A 0B A 0B A 0B @ 0A 0B 0 B 0 C 0 C 0 A 0B 00C 09C 09C 09B 00C 0vC 0vC 0v@ 0@ 0@ 0@ 0@ 0@ 0@ 0@ 0@ 0@ 0@ 0@ 0@ 0@ 0@ 0@ 0@ 0@ 0@ 0GLMNOPQRSTUVNqu} rgW g q Q A s=NHn.8FTbq}:;^_ H"I"J"K"f"g"B$C$$$$$(%]%^%%%$)%)f)p))))))))>*C*J*T*_*`*g********[+s++++++++++,,.,M,`,h,r,,,,,,,,---;-T-[-`-l-m--..U._.v.......M/d/j/t////////000^0x000000000000012191C1R1S1T111111111 222,2-2.2P2j2p2u222222222222222333k33333333333333(4B4H4M4Z4[4\44444,5-5$6%6'6(6)6*6+6,6-6.6/606162636465666768696:6;6<6=6}7~77\:]:::::::::;.;<;V;W;X;;;;;;;;;<+<,<-<<<E<k<<<<<<<<<< ==:=T=U=_=======>>'>,>->.>>>I>W>\>]>i>>>>>>>>>>>>>>>>???0?9???D?E?F?\?g?u?z?{?|??????????@@@,@5@;@@@A@B@Y@b@h@m@n@|@@@@@@@@@@@@@AA)A.A/AEAbAoAAAAAAAAAAWBXBYBBBBBEEEEIGJGGG?HHAIIIIJJLLFMGMhOiOjOOOQRRdRRRR\SSSSS TTsTtTTU1UUUUUVVVWWCXDXXXXXYYYYYY ZZ[[O[P[[[T\\\\]]]]]]]^`^^^__`D`_```8a9aiakalazaabbbbb|c}cee}f~ffffhhhhii(j*j9jjjbkckkkkl l!l"l0lllll m mnn(n6nanbngohooooo;ppppprrr)rnrsssstttuu)v*vwww8w}w~w1y2yyyVzWzezu{{||||}}k}l}}}:~<~ l23\]lςprxyЄфrs_a,OP-/0?PQOP^m>?vЎюǐ֐Ñőԑ`!#דٓړyz{|}~ =>ߖ !0lmΙϙߙ12@BCQ fgNjGIӥԥ#Ceܦ UVW~ èĨH|}|}Z[۾Q,78<TUZ{| 67>fgl $DEJmns"+9AO[dr4yz!,V&/<()4qy<=opu-.EFLs~ @Hlw().IQ}ABGjr{ n"-4? .U123456789:>Sy12@Avw@!d6}/9lmnopqrstu Q,>\"[\w!>?r()-.?@CDTUYZjkop #$'(3489FGJKVWZ[efijqruv(0(0(0(00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000K"0K"0K"0K"0K" 0K" 0K" 0K" 0K"0K"(0K"0^%0^%0^%0^%0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^%0^%0^%0^%0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^% 0^%0^%0^%0^%(0K"(0K"040404040404040404040404040404040404040404040404040404040404040404 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 04 040404(0K"0YB0YB0YB0YB0YB0YB0YB0YB0YB0YB0YB0YB 0YB 0YB 0YB 0YB0YB0YB0YB0YB0YB(0K"0L0L0L0L0L0L0L00Q0Q0Q0Q0Q0Q0Q0Q0Q0Q0Q0Q0Q0Q0Q0Q0Q0Q0Q0Q0Q0Q0Q0Q 0Q0Q00W0W0W0W0W0W0W0W0W0W0W0W 0W 0W0W00[0[0[0[0[0[0[0[0[0[0[0[0[ 0[0[00`^0`^0`^0`^0`^0`^0`^0`^0`^0`^0`^0`^0`^ 0`^ 0`^0`^0`^0`^0`^0`^0`^0`^0`^0`^0`^00~f0f0f0f0f0f0f0f0f0f0f 0f 0f 0 f0f0f0f0f0f0f0f0f0f 0 f0f0f0f0~f0l0l0l0l0l0l0l0l0l0l0l0l0l 0 l 0 l0~f(0p0p0p0p0p0p0p0p0p0p0p0p0p0p 0 p 0p0p0p0p0p0p0p0p0p0p0p0p0p0p0p0p 0p 0p0~f0{0{0{0{0{0{0{0{0{0{0{0{0{0{ 0{ 0{0{0{0{0{0{0{0{0{0{0{ 0{ 0{0{0~f0r0r0r0r0r0r0r0r0r0r0r0r0r 0r0r0~f0a0a0a0a0a0a0a0a0a0a0a0a0a 0a 0a0a0a0a0~f0000000000000 0 000v00000000000 0 0 000000000 000000000000000000v0000000000000 0 0000000000000000000 0  0! 0"00000000 0#0000000000000000000 0 0 0 0 0 0 0 0 0 0 0 0 0$ 0% 0 0 0 0 0 0 0& 0' 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0000 0 0 0 0 0 0 0000000 0(00000 0) 0*0000000 0+ 0, 0- 0.000000 0000 00 00 00 00 000000 0 0 0 0 0 0000@000000 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0000000000000 00 000 00 0 0 0 0 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 00 00 0 0 0 0 0 0 0 00 00 0 0 0 0 0 0 0 00 00 0 0 0 0 0 0 0 00 00 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 0 0 0 0 00 00 0 0 0 0 0 0 0 0 00 0 0 00000000@000@0h00@0h00@0h00@0h00@0@0 P@0@0 XP@0@0@0@0P@0@0@0h000/00 0 0 0 0 0 000000000 0 0 000 0 0 0 0 0 0000 0 0 0 0  0  0  0 000000000P00 0 0  0  0  0 0 0 0 0  0  0.  0.  0 0  0  0  0  0  0  0  0 0 0 0 0 0 0 0 0 0 00 0 0 0 0 0 0 0 0 0 0000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000h0TUVNH.8FTbq}:;^_ H"I"J"K"f"g"B$C$$$$$(%]%^%%%$)%)f)p))))))))>*C*J*T*_*`*g********[+s++++++++++,,.,M,`,h,r,,,,,,,,---;-T-[-`-l-m--..U._.v.......M/d/j/t////////000^0x000000000000012191C1R1S1T111111111 222,2-2.2P2j2p2u222222222222222333k33333333333333(4B4H4M4Z4[4\4444,5-5$6%6'6(6)6*6+6,6-6.6/606162636465666768696:6;6<6=6~77\:]:::::::::;.;<;V;W;X;;;;;;;;;<+<,<-<<<E<k<<<<<<<<<< ==:=T=U=_=======>>'>,>->.>>>I>W>\>]>i>>>>>>>>>>>>>>>>???0?9???D?E?F?\?g?u?z?{?|??????????@@@,@5@;@@@A@B@Y@b@h@m@n@|@@@@@@@@@@@@@AA)A.A/AEAbAoAAAAAAAAAAWBXBYBBBBEEEIGJGG?HHAIIIIJLLFMGMhOiOjOOOQRRdRRRR\SSSSS TsTtTTU1UUUUUVVVWWCXDXXXXXYYYYY ZZ[[O[P[[[T\\\\]]]]]]]^`^^^__`D`_```8a9aiakalazaabbbbb|c}cee}f~ffffhhhhii(j*j9jjjbkckkkkl l!l"l0lllll m mnn(n6nanbngohooooo;ppppprrr)rnrsssstttu)v*vwww8w}w1y2yyyVzezu{{||||}}k}l}}}:~<~ l23\]lςprxyЄфrs_a,OP-/0?PQOP^m>?vЎюǐ֐Ñőԑ`!#דٓړyz{|}~ =>ߖ !0lmΙϙߙ12@BCQ fgNjGIԥ#Ceܦ UVW~ èĨH|}|}Z[۾Q,78<TUZ{| 67>fgl $DEJmns"+9AO[dr4z!V&<()y=opu.EFLs~()ABGj{ n"-?.U1234589:>Sy12@Avw@!d6}/9lmnopqrstu Q,>\"[\w!>?r00b,r00a00_00N00Pd00N00B00C00C00C00C00C00C00C00C00C00C00C00C00C00B00@00A00@@0@0@000A00A@0@0@0@0@0009@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@ 0@ 0@ 0@ 0@0@0@0@0@0@0@0 @0 @0 @0 @0 @0 @0 @0 @0 @0 @0 @0 @0 @0 @0 @0 @0 @0 @0 @0 @0 @0 @0 @0 @0 @0 @0 @0 @0 @0 @0 @0 @0 @0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0 @0 @0 @0 @0 @0 @0 @0@0@0@0@0@0 @0 @0 @0 @0 @0 @0 @0 @0 @0 @0 @0 @0 @0 `0 @0 @0 @0 @0 @0 @0 `0 @0 @0 @0 @0 @0 @0`0@0@0@0@0@0@0 @0 @0 @0 @0 @0 @0 @0`0@0@0@0@0@0 @0 @0 @0 @0 @0 @0 @0 @0 `0 @0 @0 @0 @0 @0 @0`0@0@0@0@0@0@0`0@0@0 @0 @0 @0 @0 `0 @0 @0 @0 @0 @0 @0 `0 @0 @0 @0 @0 @0 @0 `0 @0 @0 @0 @0 @0 @0 @0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0 @0 @0 @0 @0 @0 @0 @0 @0 @0 @0 @0`0@0@0 @0 @0 @0 @0 @0 @0 @0 @0 @0 `0 @0 @0 @0 @0 @0`0@0@0 @0 @0 @0 `0 @0 @0 @0 @0 @0 @0 @0 @0 @0 @0 @0@0@0@0 @0 @0 @0`0@0@0 @0 @0 @0@0@0@0@0@0@0`0@0@0@0@0@0`0@0@0@0@0@0`0@0@0@0@0@0`0@0@0@0 @0 @0`0@0@0@0@0@0`0@0@0 @0 @0 @0`0@0@0@0@0@0`0@0@0@0@0@0 @0@0@0 @0 @0 @0 `0@0@0 @0 @0 @0`0@0@0@0 @0 @0 @0@0@0 @0 @0 @0`0@0@0@0 @0 @0@0@0@0@0@0@0@0@0@0@0@0@0@0@ 0@ 0@ 0@ 0@0@0@0@0@0@0@0@0@0@0@0K01`@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@002/@ 0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@ 0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@ 0K0@2 K0@2 K0@2 K0@2 K0@2 0D2K0E2 K0E2 @ 0@ 0@0@0@0@0@0@0@0@0@0@0@0@0@0@ 0@ 0@ 0@0@0@0@0@0@0@0@0@0@ 0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@ 0 @ 0 @0@0@0@0@0@0@0@0@0@0@0@0K0B2@0@0@ 0 @0@0@0@0@0@0@0@0@0@0@0@0@0@ 0 @ 0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@ 0@ 0@0@0@0@0@0@0@0@0@ 0@ 0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@ 0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@ 0@ 0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@ 0@ 0@0@0@0@0@0@0@0@0@0@0@0@0@0@ 0@ 0@ 0@0@0@0@0@0@0@0@0@ 0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@ 0@ 0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@ 0@ 0@ 0 @0@0@0@0@0@0@0@0@ 0!@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@0@ 0"@ 0#@0@0@0@0@0@0@ 0$@ 0%K03yK03K03K0R3S`n\@0@0@0@0@0@0@0@0@0@0@0{0[3 @0@ 0${0^3K0b3c p\@0{0[3 @0{0c3{0^3_hmF{0^3{0^3@0@0@0K0n3@0@ 0$@ 0$@ 0$@ 0$@0K0u3K0u3K0u3}@ 0@0K0z3~@0@0K0}3}@ 0@0@0K03}@ 0@0@0@0@0@0@ 0@ 0@ 0@ 0@ 0@ 0{0t3g{0t3e{0v3e0303K000303 03 {00 03 03 {00 03 03 {00 03 03 {00 03 03 {00 03 03 {00 03 03 {00 03 03 {00 03 03 {00 03 03 {00 03 03 {00 03 03 {00 03 03 {00 {00] {00{00{00{000 @0 {00{00D5C4 {00{00@1 K00K00K00K00K00K00K00K00K00K00K00 K00K00 K00K00K00 K00K00 K00 K00 K00 K00 K00 K00 K00 K00 K00 ټ0 K00 K00@K0 0 K0 0 K0 0 K0 0 K0 0 K0 0 K0 0 K0 0 @K00 K00 @K00 K00 K0 0 K00 K00@K0 0 K00/GK00. K00, K0 0 K00* K00*GK0 0K00K0 0K00K00K00K0 0K00K00K0 0 K00K0 0K00K00K00K00K00K00 K0 0 0(4)܋@K0 0 K0(0)K0 0 K0*0 K0 0 K0(0 K0(0 K0(0 K0(0 K0(0 K0(0)K0 0 K030 K030 K0 0 K030 K030 K030 K030 K0304K0 0 K0C0 DEK0C0 K0C0 K0 0 K0C0 K0C0DGK0 0 0L4uM̏@0L4t@0@0@000 0000P 0`G 00=@0@0@ 0@ 0@ 0@ 0@ 0@ 0@00@0H@0H@0H@0@0@0@ 0@ 0@ 00@0@ 0@ 0@ 0@ 0@ 0@ 0@00@0@ 0@ 0@ 0h@ 0 @ 0 @ 0 h@ 0 @0H@0H@0H@0H@0H@0H@0H@0H0H@0@0@ 0A 0B A 0B A 0B A 0B @0@ 0A 0B 0 B 0 C 0 C 0 A 0B 0)C 02C 02C 02B 0)C 0oC 0oC 0oC 0o@ 0@ 0@ 0@ 0@ 0@ 0@ 0@ 0@ 0@ 0@ 0@ 0@ 0@ 0@ 0@ 0@ 0@ 0@ 0H@ 0@ 0@0H@0H0[0 \D| "%=======@ q u v k`P`jJ:l6#'e*^-/e135y7:\<.>AB]F=J(MSUWZ]N`acfginqstqwx{|~M<y}XÙٛ2ԭްv<O+vyz|}~    "%(+-/1357BPWcgk =T',,%1_22[334h445l5677^88829S99 :-::::;;;;B<[<7>BBXCC-DDD_EF>FFFFDGzGGH@HmHHH.IIIJPQ[C`Ocf}k9rbsv;x|elϊ?^ԙ!0mQf# 7T{6fDm()opEF()AB1269u,[!r{  !#$&')*,.024689:;<=>?@ACDEFGHIJKLMNOQRSTUVXYZ[\]^_`abdefhijlmnopqrstuvwxyz{|}~x-IKLNn{_{}~OknoqSorsu[wz{}  +qPloprEadeg5 Q T U W w E a d e g O k n o q / K N O Q q  ; > ? A a Qmpqs7:;=]r&'#'LLLܦ~ĨܨߨBoپ OXп4]wV< :+ Cl?m X%X%X%X%X%X%X%X%X%X%X%X%X%X%X%X%X%X%X%X%X%X%X%X%X%X%X%X%X%X%X%X%̕_X____XXXXXXXXXXXXXXX@!  wt/Xb$x\xWS hx2$%ʺ=߈,F@< ss(  z  C @@ S"`? bP LX w 3  s"*?`  c $X99?LX w  bBCRDE|Ff? 333LLLggg...MMMkkk}}}wwwrrrlll e e e-_-_-_PZPZPZqTqTqTOOOKKKFFFAAA"<"<"<E8E8E8i3i3i3000+++(((#### # # IIIqqq   1 1 1 Y Y Y GGGoooR@D@`} s   zB'CRDEF? )))PPPxxx???fff      ,,,QQQyyy   ###6(6(6([+[+[+000333888<<<AAA4F4F4FWKWKWK|O|O|OTTTZZZ___eee#l#l#lDrDrDrdwdwdw}}}999UUUrrr''RFH@`s   BCnDEF? llOOEEE::: / / /&&&   &&&...777AAAJJJUUU```mmmzzz}}}sssjjj``` W W WMMM/E/E/ED<D<D<X2X2X2n*n*n*!!!nO@`W  n  2BCDEFM3? 99   )))555>>> I I ISSS^^   zztx@`d     BCDE4F>3f? ''? ? ? VVVlll"""***444===EEEOOOXXXbbbkkk/u/u/u>~>~>~NNN\\\kkkyyy   '''222===GGGRRR[[[fffppp{{{f' @`_ # N   BgCDETF^f? gga a a YYYQQQI'I'I'@2@2@25<5<5<*E*E*EPPPZZZcccmmmxxxwwwdddPPP;;;'''kkkP'P'P'7/7/7/777??777PPPkkkyyyppphhh```'V'V'V;M;M;MPEPEPEd<d<d<w2w2w2)))!!!***555@@@IIIQQQYYYaaagygyg@`# d   BCDEF? ll^^gggqqq|||yyykkk\\\NNN>>>///      )))111;;;DDDlLlLlLVTVTVT?^?^?^'f'f'fmmmuuu}}}rr^@` db    tBC DE F h @DX>   BCDELFVf? $$$g*g*g*H1H1H1(7(7(7 = = =DDDJJJOOOUUUd[d[d[B`B`B`!e!e!ekkkpppuuuyyyn~n~n~JJJ&&&&&&JJJnnn!!!BBBddd   (((HHHgggyy(,@`b e  BrC&DE,F6? KKrrUUU999dddDDD###|||WWW4 4 4 ###[&[&r@`    tBCDE FA@,~/^  "BO CDEF33? O &O &* +* + . . 1 1 5 5 5 8 8m ;m ;E >E > A A C C C F F G G I IZ KZ KZ K3 L3 L N N O O O O O Q Ql Ql QD SD S S SSSSSSSS|Q|QUQUQUQ-O-OOONNLLLKKfIfI?G?GFFFCCAA>>};};W8W8W8/5/5 1 1..+++&&u#u#OO+++  zzzWW66qqqQQ33hhhMM22}}uuummff^^TTLLLqDqD[;[;G1G12)2)2)      }}ppcccXXMMDD:::1|1|)q)q#g#g^^^SSII > >55))) zz  ##))11:::D D MMXXc(c(c(p1p1};};DDOOYYYbblluu  222GG[[qq22MMhhh%%---33;;3A3AQGQGqNqNqNTTZZaaeeell6r6rWwWwz|z|z|+++OOuu  //WWW}}??ff--UUU||  D D l l          3 3 Z Z Z            E E m m          * * O O O &@`    J BO CrDEpFzff? \\O EO E* J* J* J M M M P P P T T T W W Wm Zm Zm ZE ]E ]E ] ` ` ` b b b e e e f f f h h hZ jZ jZ j3 k3 k3 k m m m n n n n n n p p pl pl pl pD rD rD r r r rrrrrrrrrr|p|p|pUpUpUp-n-n-nnnnmmmkkkjjjfhfhfh?f?f?feeebbb```]]]}Z}Z}ZWWWWWW/T/T/T P P PMMMJJJEEEuBuBuBO=O=O=+:+:+:555111,,,'''z!z!z!WWW666   qqqQQQ333hhhMMM222}}}ssskkkqcqcqc[Z[Z[ZGPGPGP2H2H2H??? 6 6 6,,,$$$}}}pppcccXXXMMMDDD:::111)))###}}}rrrhhh ] ] ]TTTHHH===444)))   O E@`  ~  6c ~  6,m*  ~  64 =  ~  6 B k   ~  6    ~  6 ]  ~  6 m<  ~  6 n4V  ~  6[<  ~  6A #  ~  65L  ~  6 #  ~  6S  ~  6A  *  % pR*  3  s"*?` ! c $X99?pR* " rBCDEF? !!666kkk   BBBxxx     DH@` ^ # "BCuDEFM3? )88F T Tao}}ssbO:+:+&8FFS_jjw~~dGG) lII& "+66n@FISS\ddmyuNN$qqDW&_,a- [%    P P     y D D     k 6 6     a + +     W # # T  X''e5}Q##uwmNdNd%\SSI@66a+=" llM--iwPjPj8_!S F F8++vh[[OBB9.&}&}oaTT F88)Vddq &&.9BBO [[h%v1@@LYYgt  !8PPi- - M+l6l6ALWWbll=wa%NNw##Q}  5e%)'0'0X6;;?D I ITNRRVZ# ^# ^W a d d e i+ l+ la m o p p r6 t6 tk t t u u uD uD uy t t t t rP pP p o m l l%i[edda^^-ZaVRRNII,D_?;;600&)W%  Dqq$NNyFnwll&bIWIWlLA66+   )GGd~~&::OtbgsYsYL@@1%   qddV@` !f^ $ "BC?DEF3f? % [[-aa#''*,/_4_4:??D&J&JWPW]]ckkDrqyqy$NNyFnn&&Il'l'2==HU ` `)kGxGxd~~&&:Obbs''5BBP]kky  ..:HHWee s  s#s#b1O=:J:J&Weer~~~ddG))   lI!I!&,5AAJUUn_FhFhr{yyN$$qDDWW&_ ,a-$-$'*..[/%2%2 5 7 7 9P : < < = = =y =D ?D ? ? ? = =k =6 =6 = < : : 9a 7+ 5+ 5 2 / / .W *W *# '$TT  XX'e5}QQ#wwN%{%{rh__UaJaJ=A55,! llM--iiP8~!r!r eWWJ==1# vvh[[OB99.&&s eWWH::.  &..9ByByOk[][]hPvB55'  !88Piixkk`-U-UMHl=22'=a%%Nw#QQ}yrrk5c5ce]WWPJ'D'DX?::4// *T'### W W    + a a     6 k k   % @` ! ~ % 6% ~ & 6&yJ  ~ ' 6' ~ ( 6( I  Hq 8#H )3  s"*?` * c $X99?8#Hv + :BCDEhFr? ZZ,,,XXX   555```      999ddd   8#8#8#b(b(b(+++///444999.>.>.>UBUBUB}G}G}GLLLRR@`Y  , zBC>DEF3f? BB   ===ccc%%%+++1119998?8?8?[G[G[G|O|O|OVVV]]]eeemmmuuu;;;YYYvvv>@`h!  - zBCDEF? 666RRRnnn'''GGGhhh}}}:w:w:w^p^p^pjjjddd]]]WWWRRR@L@L@LgGgGgGBBB>>>9994441/1/1/Z+Z+Z+(((###   +++UUU   . . . XXX444```FH@`   . rBCDEF? !!``WWW)M)M)M@B@B@BV9V9V9l/l/l/&&& `DH@`   / tBCDE F`@}* J  0 rBt C+DEF? !!jj a a aUUU)J)J)J8?8?8?J4J4J4Z+Z+Z+k k k ~~~ t +jDH@`{   1 tBCDE F`@ Ta  2 B CDEF? -- { { {pppeeeZZZ#O#O#O+D+D+D474747>,>,>,G!G!G!RRR_ _ _ ll \`@`   3 tBCDE F`@n+ 4  4 BC DEF? --OODDD 9 9 9...!!!      O\`@`   5 rB CrDEF? !!rrggg \ \ \QQQDDD999...###    #rDH@`   6 tBCDE F`@Gv x  7 rB$CDEF? !!$9$9...###         $$$9DH@`  6 8 B CDEHFR? $$}}}rrr g g g[[[OO $&(@` .  9 tBCDE F`@n ON : BC2DETF^f?    !!!...999DDDOOO[[[gggrrr}}}~~~ssshhh[[[MMM???000!!!   )))444===vGvGvG`P`P`PH[H[H[1e1e1ennnxx22)))111HHH` ` ` vvv!!!000???MMM[y[y[yhnhnhnscscsc~X~X~XMMMBBB777,,,!!!   @` p ; B CDEF?    $$$...373737KAKAKAbJbJbJzTzTzT]]]hhhrrr{{{      + + + ; ; ; J J J Y Y Y g g g u u u          ) ) ) 4 4 4 ? ? ? J J J U U U ` ` ` m m m x x x                                           # # # . . . 9 9 9 D D D O O O Z Z Zu eu eu eg pg pg pY {Y {Y {J J J ; ; ; + + +       zzzbbbK K K 333@` p > < BCDEFf? 33 s$s$s$Y.Y.Y.;6;6;6===GG;;;YYYssshl@` ~ = BBCDElFv? xxvvvYYY;;x8<@` e  > tBCDE Fd@=rn ? 2BC=DEF? }}}sususuRnRnRn/f/f/f^^^WWWOOOGGG???q7q7q7S-S-S-5&5&5&   zzz```III333xxxmmmpbpbpbaXaXaXRMRMRMDBDBDB878787+,+,+,!!!    +++888DDDRRRaaappp'''222===GGGRRR[[[fffpppyyy333III```zzz555SSSqqq   /!/!/!R)R)R)s/s/s/777==@`. k @ ZB C DEF? ~~  sssRRR///qqqSSS555xxxznznzn`e`e`eI[I[I[3P3P3PGGG===444)))   pppaaaRRRDDD888+++  @`   A tBCDE F`@A & B RBC'DEtF~33? ]]   `'`'`'?/?/?/777>>>FFFLLLRRRoZoZoZJ`J`J`&g&g&gmm''&!&!&!JJJooo   ???```@`e & C B;C,DEFff? 00;;|||[[[888   c&c&c&=,=,;bd@`   D tBCDE FR@W E RB@CDEtF~@? ]]@U@UPPPLLLGGGBBBv=v=v=O7O7O7)2)2)2,,,&&&!!!mmmIII%%%%%%IIImmm)))OOOvvv   @@@U@` & F BC`DEF? 00@`@`[[[WWWRRRMMMvHvHvHOBOBOB)=)=)=777111,,,&&&mmmIII%%%  @`bd@`   G tBC"DE F"`"@   H bBCDEFff? ??!!{{{OOO$$$| | | RRR))))))RRR|||$$$OOO{{{!@`   I rBCDEF? !!{~{~{~O{O{O{$y$y$yvvvsssnnn|k|k|kRhRhRh)c)c)c``DH@` '  J tBC*DE F*`*@  K BCDEF3f? EE      ] ] ] 1 1 1    WWW******WWW111]]]@`' ` L BCDEFf? $$]]]111WWW***JL@` 6  M BjCDE$F.@@? jjDDD   !!![&[&[&2+2+2+ / / /444777<<<e?e?e?;B;B;BGGGJJJMMMOOOfRfRfR<U<U<UWWWYYY\\\]]]b_b_b_6_6_6_ ` ` `bbbbbbbbbYdYdYd-d-d-ddd---YYY   666bbb<<<f f f    ;;;eee   222[[[DDDjjj@``  N BjCDEF? ffj,j,D1D1D1777===BBBHHHMMM[R[R[R2W2W2W [ [ [```ccchhhekekek;n;n;nsssvvvyyy{{{f~f~f~<<<bbb666   YYY----j,@`` 6  O <Oj  P <P31  Q <Q ,  R <R" $   S <S u"   T <Tz ?   U <U[  V <VK#3  W < W2   X <!Xi ! Y <"Y85 " Z <#ZA)H # [ <$[q' $ \ <%\^ % ] <&]   & ^ <'^4  H ' _ <(_ :  ( ` <)`< $ q ) a <*ac * b <+b* + c <,cc , d <-d0T - e <.e <& . f </f}  / g <0gh c  0 h <1h/ h  1 i <2i  2 j <3jX  3 k <4kH* 4 l <5l 5 m <6mz   6 n <7n g  7z o C @@o S"`? H p # p H q # q H r # r V s C A "`B S  ?(    A$L Y, MCMP00591_0000[1]WordPictureWatermark1S"  A$L Y, MCMP00591_0000[1]WordPictureWatermark2S"  A$L Y, MCMP00591_0000[1]WordPictureWatermark3S"%6Lݨs t@p!m tt"tqZ! tr_!4tot"3t ! t # t)#t "@{ 7u@0s4u@{ 7u@% _Toc144777924 _Toc144777925 _Toc144777926 _Toc144777927 _Toc144777928 _Toc144777929 _Toc144777930 _Toc144777931 _Toc144777932 _Toc144777933 _Toc144777934 _Toc144777935 _Toc144777936 _Toc144777937 _Toc144777938 _Toc144777939 _Toc144777940 _Toc144777941 _Toc144777942 _Toc144777943 _Toc144777944 _Toc144777945 _Toc144777946 _Toc144777947 _Toc144777948 _Toc144777949 _Toc144777950 _Toc144777951 _Toc144777952 _Toc144777953 _Toc144777954 fastfacts _Toc144777955 _Toc144777956 _Toc144777957 OLE_LINK1 OLE_LINK2K"^%4YBLkOQW[`^fflppu{rav ԥ  !"#$e"%+5BEMORBXN[^ff mpp(v|Oώkeԥd|Oe|fڬgh$^i$jD? @ĦABDCD ħEFDGHĨIJDKLĩMNDOPĪQRDSTīUVDWXĬYZD[\ĭ]^D_`Įa iid  u0 0 !"F###o$*h5h5566i7i77{:DDDI.NNNNNOO+P+PQQQQRRlRSSSSkTkT|TVV)X)XXXXYYpZpZZZZ5[5[[[[v\v\V^V^^^__tctcUgUgehehmmrrttww|oollvІІbbzz¦¦cc33aaéOssگFFϵ1PP׶׶TT>>llu44uu~(AA2277 [[vv      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~ nnk!%%|5 5 !"M###v$*m5m5566n7n77:DDDI5NNNNNOO0P0PQQRR#R#RpRSSSSpTpTTVV.X.XXXXYYuZuZZ[[:[:[[[[{\{\[^[^^^__ycycZgZgjhjhmmrrttww}tttՆՆggǦǦhh==ffǩTxx KKԵ9VVܶܶYYCCt{{99}/FF77<<!!cc  !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~B*urn:schemas-microsoft-com:office:smarttagscountry-region8*urn:schemas-microsoft-com:office:smarttagsCity9*urn:schemas-microsoft-com:office:smarttagsState9*urn:schemas-microsoft-com:office:smarttagsplace=*urn:schemas-microsoft-com:office:smarttags PlaceName=*urn:schemas-microsoft-com:office:smarttags PlaceType>*urn:schemas-microsoft-com:office:smarttags PersonName HN27v|++::DD*/ѿ:GKOVoo:r33GV$(%%))>*g***[+++r,,-;-m-U..M///0^000T1111.2P23k33(4\4::::;X;;;<E<k<<<<<=:=_==|????AAAH?HVVY Z]]laza*j9j"l0loottWzez ]l0?őԑړ!0CQԥܦ W~ĨQZ| 7>gl s9[4,<)4qpu.Lsw).IQ}B{"? .:yu\?r'),.>@BDSUXZiknp "$&(2479EGIKUWY[dfhjprtv:t^Bz`vG]w~L=Sh f|JR doVXFEN1X %ʮnL! A&$V! "" _#z&8s#K9!*2JpF*:|,oj/@Y%L3HUj6MS!9-{O0KQJ+7t2KaaI Pxv>2W+7\I Paah)-fYj+7Aok?'&LG]g}?'Z9MT0]`0kKlV FQgSeui!hENINh**o##FaKe 4%.~Oa H[ b!}y!^"o"#)S#8Z#"$gq$z$ %%%,%Hv%%1-&s8'<')(6(v(+)>)O)s)( **=*>*=I*]*j*|r*:+,),1,;,Q,k,k,p, -"-#-2-;<->-...V.Re. /9(/b/X=0D0f0F 1CJ1_12=2[24]213 :33,4:4:E4@q4(5O5T5Y5gw5|54}5C6H6V6h6Uz6l)7B7]7v888J8`89P 999J#939N9]9e9:/:C: U:vt:;#;><c<6<P<~<Z =(=*?=R=x=z=L>Kv>!?gT?V?'X?sv?@ @0@N5@H@YM@X@?AI^A,}ABg B#B0B~7B9qByByB1C[CKmCDDr#D2DJKD[WDNcD|DEEHE_cEydE/jE'|EFF(F,F@0F'HF-GGF/G36GsHGKGKGHCH9HaH7BI=J7J=JQ?JD@K EK:lKRLtLMA2MP5MjM,NTNiN&OP2OCBOVOkeOoOc}O/PfPemPzP6Q"Q5^Xd^s^}^=_;_th_m_/`<`N`w`a+abIatab)b@s^qs7xs5t& tDltutu1;u$Gu@aufunv&ww%Fw\wx` xcx9gx5yy?yvfypy z~zU{b { {n{I%{C{4d{!|E|#}.} 3}Y}^Z}%~\9~~~z1L]~6)F0 x4556p!;s3RLKMy* t %335Di# FW $=EKOjp~~hu$2F9>~lo.*~l{B%+,>^' M!03!-Ic ry%+{ s@3Tka 0O \`1n }#7DYD2<" 37\KN ZS4X\X )r#56A{E<*Sl' G.F5i_wmq;De=Rw<~@AV\`!k</jEy_*DR\x^z"6$:)DcoGKL\T;PX9DY'^ Apd*#,?])2RPMr+c,:Lf\s Wk9un4RQW )57D~y(Q-\GsstJU<-z L~ &:~ S4x5i\hi6<W^(jjo}xQ'nn,!/YY1$%l%|2*ANX^Xn~ =&EE1 A_nFW3=INUYqSy'2CCi xh /2b_rmgpUGUfy~8/=~CcYPep;"Uesy'2AP bo}"2'mT# %,'I~&O>zSVv}"O'47BIJS5_rjM'SY >V A #Bsf|9?M([7UD]; /8,4U^eqDST:bJh) @|QQmf)p))))))))>*C*J*T*_*`*g********[+s++++++++++,,.,M,`,h,r,,,,,,,,---;-T-[-`-l-m-U._.v.......M/d/j/t////////000^0x000000000000012191C1R1S1T111111111 222,2-2.2P2j2p2u222222222222222333k33333333333333(4B4H4M4Z4[4::::::::;.;<;V;W;X;;;;;;;;;<+<,<-<<<E<k<<<<<<<<<< ==:=T=U=_=======>>'>,>->.>>>I>W>\>]>i>>>>>>>>>>>>>>>>???0?9???D?E?F?\?g?u?z?{?|??????????@@@,@5@;@@@A@B@Y@b@h@m@n@|@@@@@@@@@@@@@AA)A.A/AEAbAoAAAAAAAAAA,78<TUZ{| 67>fgl $DEJmns"9[r4z!,V&<()4qy=opu.EFLs~ @Hlw().IQ}ABGj{ n"-? .U12@}@{@Unknown anne.rogers daniel.eccherGz Times New Roman5Symbol3& z Arial9GaramondKgTimes New Roman5& zaTahoma?5 z Courier New;Wingdings"1h :&jy&jy!4d 2qHX ?*2'Maine s SPF SIG epidemiological profile sandeep.kasatosa                          Oh+'0  (4 T ` l x(Maines SPF SIG epidemiological profilesandeep.kasatNormalosa2Microsoft Office Word@G@|S@Bҁ@Bҁ&՜.+,D՜.+,T hp|  yj (Maines SPF SIG epidemiological profile TitleH 8@ _PID_HLINKSA :{/http://www.cdc.gov/HealthyYouth/yrbs/index.htm)0http://www.fbi.gov/ucr/ucr.htm)http://www.epidcc.samhsa.gov/default.aspAhttps://nsduhweb.rti.org/Jhttp://www.cdc.gov/nchs/a</http://www.maine.gov/dhhs/bds/osa/data/mydaus/etPhttp://mainegov-images.informe.org/dhhs/bds/osa/pubs/data/2004/genpop04exec.pdf)http://www.epidcc.samhsa.gov/default.asp[Mhttp://www.cdc.gov/brfss/$$http://www.maine.gov/dhhs/osa/Ahttps://nsduhweb.rti.org/:{/http://www.cdc.gov/HealthyYouth/yrbs/index.htm[Mhttp://www.cdc.gov/BRFSS/ http://www.epidcc.samhsa.gov/w7,http://apps.nccd.cdc.gov/ardi/Homepage.aspx http://www.epidcc.samhsa.gov/;_Toc144777957;_Toc144777956;_Toc144777955;_Toc144777954;_Toc144777953;_Toc144777952;_Toc144777951;_Toc144777950;_Toc144777949;_Toc144777948;_Toc144777947;z_Toc144777946;t_Toc144777945;n_Toc144777944;h_Toc144777943;b_Toc144777942;\_Toc144777941;V_Toc144777940;P_Toc144777939;J_Toc144777938;D_Toc144777937;>_Toc144777936;8_Toc144777935;2_Toc144777934;,_Toc144777933;&_Toc144777932; _Toc144777931;_Toc144777930;_Toc144777929;_Toc144777928;_Toc144777927;_Toc144777926  !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~Root Entry FPData k1TableHAWordDocument#SummaryInformation(DocumentSummaryInformation8CompObjq  FMicrosoft Office Word Document MSWordDocWord.Document.89q