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These data constitute the second wave of a survey designed to study the influence of health practices and social relationships on the physical and mental health of a typical sample of the population. The first wave (HEALTH AND WAYS OF LIVING STUDY, 1965 PANEL [ALAMEDA COUNTY, CALIFORNIA] [ICPSR 6688]) collected information for 6,928 respondents (including approximately 500 women aged 65 years and older) on chronic health conditions, health behaviors, social involvements, and psychological characteristics. The 1974 questionnaire was sent to 6,246 living subjects who had responded in 1965, and were able to be located. A total of 4,864 individuals responded in 1974. Questions were asked on marital and life satisfaction, parenting, physical activities, employment, and childhood experiences. Demographic information on age, race, height, weight, education, income, and religion was also collected. Included with this dataset is a separate file (Part 2) containing mortality data for respondents who died between the 1965 and 1974 panels, and information on nonrespondents.

This collection provides a 30-year follow-up with respondents from Alameda County who were originally interviewed in 1965 for the first wave of the Health and Ways of Living Study. The purpose of the survey was to explore the influences of health practices and social relationships on the physical and mental health of a typical sample of the population. The first wave of the study, HEALTH AND WAYS OF LIVING STUDY, 1965 PANEL: [ALAMEDA COUNTY, CALIFORNIA] (ICPSR 6688), collected information for 6,928 respondents (including approximately 500 women aged 65 years and older) on chronic health conditions, health behaviors, social involvements, and psychological characteristics. The second wave, the 1974 panel (ALAMEDA COUNTY [CALIFORNIA] HEALTH AND WAYS OF LIVING STUDY, 1974 PANEL [ICPSR 6838]), collected information from 4,864 of the original respondents. The third and fourth waves (1994 and 1995 panels, respectively), provided in this collection, explore some new topics. The third wave provides a follow-up of 2,729 original 1965 and 1974 respondents and examines health behaviors such as alcohol consumption and smoking habits, along with social activities. Also included is information on health conditions such as diabetes, osteoporosis, hormone replacement, and mental illness. Another central topic investigated is activities of daily living (including self-care such as dressing, eating, and shopping), along with use of free time and level of involvement in social, recreational, religious, and environmental groups. The fourth wave is a follow-up to the 1994 panel, and contains 2,569 cases. This wave examines changes in functional abilities such as self-care activities, employment, involvement in community activities, visiting friends/family, and use of free time since 1994.

This fifth wave of data, collected in 1999, provides follow-up with 2,123 respondents from Alameda County who were originally interviewed in 1965 for the first wave of the Health and Ways of Living Study. The purpose of the survey was to explore the influences of health practices and social relationships on the physical and mental health of a typical sample of the population. Part 2 of this collection contains mortality data including cause and year of death. The first wave of the study, HEALTH AND WAYS OF LIVING STUDY, 1965 PANEL: [ALAMEDA COUNTY, CALIFORNIA] (ICPSR 6688), collected information for 6,928 respondents (including 360 men and 530 women aged 65 years and older) on chronic health conditions, health behaviors, social involvements, and psychological characteristics. The second wave, the 1974 panel, ALAMEDA COUNTY [CALIFORNIA] HEALTH AND WAYS OF LIVING STUDY, 1974 PANEL (ICPSR 6838), collected information from 4,864 of the original respondents. The third and fourth waves, ALAMEDA COUNTY [CALIFORNIA] HEALTH AND WAYS OF LIVING STUDY, 1994 and 1995 PANELS (ICPSR 3083), provided a follow-up of 2,729 original 1965 and 1974 respondents. The fourth wave is a follow-up to the 1994 panel and contains 2,569 cases.

The data collection is comprised of geocoded alcohol outlet data for Genesee County, Michigan. Licensee lists were downloaded from the State of Michigan Department of Licensing and Regulatory Affairs Liquor Control Commission website in 2012 and 2017. The addresses contained in the licensee lists were geocoded to create geocoded latitude and longitude variables as well as Universal Transverse Mercator (UTM) projections of latitude and longitude. Additionally, based on the license type definitions, an outlet type variable was created that categorizes the outlet type as package, on-premises/bar, or both.

Over the last several years, the topic of immigration has gained increased attention from politicians, policymakers, and the media. This attention has centered on the prevalence of undocumented immigrants entering and residing within the United States, concern over increasing crime rates involving undocumented immigrants, and the appropriateness of the various policies aimed at controlling the influx of undocumented immigrants into the country. The recent wave of immigration from Latin America has led to a renewed public outcry and overall concerns regarding the relationship between immigration, crime and gang involvement, and the safety of the American public. Thus, the goal of this project was to conduct a multi-methodological study to examine immigrants' involvement in crime, gang membership, and experiences with violent victimization. In addition, this project examined alcohol and drug use among immigrants. This project relied on data collected in Maricopa County, Arizona. Specifically, this project relied on analyses of previously collected quantitative self-report data from a sample of recently booked arrestees, analyses of quantitative self-report data collected from a community sample of immigrants (of different immigration statuses) and US-born citizens, and analysis of qualitative data collected from a community sample of immigrants (of different immigration statuses) and US-born citizens. The results provide a more comprehensive understanding of the relationship between immigration status and crime, gang involvement, and victimization as well as an understanding of immigrants' alcohol and drug use, relative to US-born citizens.

The Athletic Involvement Study interviewed 795 students in a large public university in the Northeastern United States to explore how or if participation in sports affects people's health-risk behavior. About a quarter of the sample did not report any participation in a sport during high school or college and no primary sport designation. For those who did identify with a sport there were five predictor areas of interest: (1) scales measuring strength of jock identity; (2) strength of athlete identity; (3) goal orientation in sport; (4) primary sport ratings; and (5) conformity to masculine norms.

The Boys Town Study of Youth Development surveyed 3,065 students in junior high and high schools in the Midwestern United States (predominantly in Nebraska and Iowa) in the mid-1970s. The study focused on adolescent substance use and deviant behavior, school aspirations, and parental and friendship relationships. Additional topics included opinions toward, influences for or against, and legal ramifications of substance use, drug/alcohol education programs and the availability and perceived difficulty in obtaining drugs and or alcohol. Respondents were asked whether they had used tobacco, alcohol, marijuana, stimulants, depressants, and stronger drugs such as narcotics and psychedelics, the frequency and quantity of use, effects they felt using a substance for the first time, and the usual effects they felt if used more than once. Those who had never used any substances were asked about their perceived effects of use. Delinquent behavior engaged in by the respondents such as truancy issues, running away from home, and theft, as well as behavior while under the influence of substances such as fighting, being stopped by the police, and being in an accident were also asked about. Demographic information includes age, sex, religion, religiosity, grade point average, and grade level.

The California Drug and Alcohol Treatment Assessment (CALDATA) was designed to study the costs, benefits, and effectiveness of the state's alcohol and drug treatment infrastructure (recovery services) and specifically to assess (1) the effects of treatment on participant behavior, (2) the costs of treatment, and (3) the economic value of treatment to society. Data were collected on participants (clients) across four types of treatment programs, or modalities: residential, residential "social model," nonmethadone outpatient, and outpatient methadone (detoxification and maintenance). Data were collected in two phases. In Phase 1, treatment records were abstracted for clients who received treatment or were discharged between October 1, 1991, and September 30, 1992. In Phase 2, these clients were located and recruited for a follow-up interview. The CALDATA design and procedures included elements from several national treatment outcome studies including the Drug Services Research Survey (ICPSR 3393), Services Research Outcomes Study (ICPSR 2691), National Treatment Improvement Evaluation Study (ICPSR 2884), and Drug Abuse Treatment Outcome Study (ICPSR 2258). The record abstract was designed to collect identifying and locating information for interview reference during the personal interviewing phase. The abstract also collected demographic, drug, or alcohol use, and treatment and service information. The follow-up questionnaire covered time periods before, during, and after treatment and focused on topics such as ethnic and educational background, drug and alcohol use, mental and physical health, HIV and AIDS status, drug testing, illegal activities and criminal status, living arrangements and family issues, employment and income, and treatment for drug, alcohol, and mental health problems. Drugs included alcohol, barbiturates, benzodiazepines, cocaine powder, crack, downers, hallucinogens, heroin, illegal methadone, inhalants, LSD, marijuana/hashish/THC, methamphetamines and other stimulants, narcotics, over-the-counter drugs, PCP, ritalin or preludin, and sedatives/hypnotics. CALDATA was originally known as the California Outcomes Study (COS).

The California Families Project (CFP) is an ongoing longitudinal study of Mexican origin families in Northern California. This study uses community, school, family, and individual characteristics to examine developmental pathways that increase risk for and resilience to drug use in Mexican-origin youth. This study also examines the impact that economic disadvantage and cultural traditions have in Mexican-origin youth. The CFP includes a community-based sample of 674 families and children of Mexican origin living in Northern California, and includes annual assessments of parents and children. Participants with Mexican surnames were drawn at random from school rosters of students during the 2006-2007 and 2007-2008 school year. Data collection included multi-method assessments of a broad range of psychological, familial, scholastic, cultural, and neighborhood factors. Initiation of the research at age 10 was designed to assess the focal children before the onset of Alcohol, Tobacco, and Other Drug (ATOD) use, thus enabling the evaluation of how hypothesized risk and resilience mechanisms operate to exacerbate early onset during adolescence or help prevent its occurrence. This study includes a diversity of families that represent a wide range of incomes, education, family history, and family structures, including two-parent and single-parent families. The accompanying data file consists of 674 family cases with each case representing a focal child and at least one parent (Two-parent: n=549, 82 percent; Single-parent: n=125, 18 percent). Of the 3,139 total variables, 839 pertain to the focal child, 1,376 correspond to the mother, and 908 items pertain to the father. Please note: While the California Families Project is a longitudinal study, only the baseline data are currently available in this data collection.

The Criminal Justice Drug Abuse Treatment Studies 2 (CJ-DATS 2) was launched in 2008 with a focus on conducting implementation research in criminal justice settings. NIDA's ultimate goal for CJ-DATS 2 was to identify implementation strategies that maximize the likelihood of sustained delivery of evidence-based practices to improve offender drug abuse and HIV outcomes, and to decrease their risk of incarceration. The Medication-Assisted Therapy (MAT) study focuses on implementing linkages to medication assisted treatment in correctional settings. During the study period community corrections staff engaged in training about addiction pharmacotherapies, while leadership in the corrections and treatment facilities engage in a joint strategic planning process to identify and resolve barriers to efficient flow of clients across the two systems. This study includes 28 datasets and over 1,400 variables. The first five datasets for this study contain data on the baseline characteristics of the treatment and corrections sites that participated in the study as well as the characteristics of the staff working at those facilities. Opinions about Medication Assisted Treatment surveys were administered to personnel at the participating corrections and treatment sites (D6). Data on Inter-organization Relations between Probation and Parole staff with Treatment Providers were also collected (DS7-DS18). Information was extracted from the charts of clients about their alcohol and opioid dependence as well as the referrals and treatment the clients received (DS19). Probation and parole officers and treatment providers were surveyed about monthly counts of referrals (DS20-DS21). During the study 10 staff members from the community corrections agency and local treatment providers where MAT services were available were nominated to participate in a Pharmacotherapy Exchange Council (PEC). PEC members were involved with strategic planning for implementing changes to improve the usage of Medication-Assisted Therapy. PEC members were surveyed several times throughout the study. PEC members completed surveys on how well the sites were adhering to the Organizational Linkages Intervention (OLI) process (DS22). Community corrections staff, PEC members and Connections Coordinators in the experimental group were surveyed about their perceptions of organizational benefits and costs associated with the MATICCE intervention (DS23). The PEC rated the Connections Coordinators (DS24)and the Connections Coordinators rate the PEC (DS25). PEC researchers completed surveys on how much of the OLI was completed (DS26) as well as what the sustainability of the changes made through the MATTICE project (DS27). The final dataset provides a key for who took the KPI (Key Performance Indicators) training and who was a PEC member (DS28).

The Denver Youth Survey (DYS) is part of the larger "Program of Research on the Causes and Correlates of Delinquency" initiated by the Office of Juvenile Justice and Delinquency Prevention in 1986. The DYS is a longitudinal study of problem and successful behavior over the life course that focuses on delinquency, drug use, victimization, and mental health. The DYS is based on a probability sample of households in "high-risk" neighborhoods of Denver, Colorado. These neighborhoods were selected on the basis of their social ecology in terms of population and housing characteristics. Only socially disorganized neighborhoods with high official crime rates (top one-third) were included. The survey respondents include 1,528 children and youth who were 7, 9, 11, 13, or 15 years old in 1987, and one of their parents, who lived in one of the more than 20,000 randomly selected households. The survey respondents include 807 boys and 721 girls and include White (10 percent), Latino (45 percent), and African American (33 percent) youth, as well as 12 percent from other racial/ethnic backgrounds. The child and youth respondents, along with one caretaker, were interviewed annually from 1988 until 1992, and annually from 1995 until 1999. The age range covered by the study is from age 7 through age 26. The dataset contains 1,528 cases and 22,081 variables.

The Denver Youth Survey (DYS) is part of the larger "Program of Research on the Causes and Correlates of Delinquency" initiated by the Office of Juvenile Justice and Delinquency Prevention in 1986. It is a longitudinal study of problem and successful behavior over the life course that focuses on delinquency, drug use, victimization, and mental health. DYS variables also address family demographics, neighborhood characteristics, parenting, and involvement in social roles. The DYS is based on a probability sample of households in "high-risk" neighborhoods of Denver, Colorado. These neighborhoods were selected on the basis of their social ecology in terms of population and housing characteristics. Only socially disorganized neighborhoods with high (top one-third) official crime rates were included. The survey respondents include 1,528 children and youth who were 7, 9, 11, 13, or 15 years old in 1987, and one of their parents, who lived in one of the more than 20,000 randomly selected households. The survey respondents include 807 boys and 721 girls and include White (10%), Latino (45%), and African American (33%) youth, as well as 12% from other racial/ethnic backgrounds. The child and youth respondents, along with one caretaker, were interviewed annually from 1988 until 1992 (waves 1-5), annually from 1995 until 1999 (waves 6-10), and in 2003 (wave 11). The study covers an age range of 7 through 26.

The Detroit Neighborhood Health Study (DNHS) is a prospective, representative longitudinal cohort study of predominantly African American adults living in Detroit, Michigan. The main purpose of the study was to determine the predictive effects of ecological stressors, such as income distribution and residential segregation, on the development of post-traumatic stress disorder (PTSD), substance use, and other psychological and behavioral outcomes. An additional purpose was to study the interrelationships between ecological stressors, exposure to potentially traumatic events (PTEs), PTSD, substance use, and immune function. The study team hypothesized that exposure to ecological stressors would influence the risk of PTE exposure, PTSD, substance use, other psychological outcomes, and the relationships between these factors. The current collection includes data from all 5 waves of the study. Cohort participants were initially recruited in 2008 with a dual-frame probability design, using telephone numbers obtained from the U.S. Postal Service Delivery Sequence Files as well as a listed-assisted random-digit-dial frame. Individuals without listed landlines or telephones and individuals with only a cell phone listed were invited to participate through a postal mail effort. Participants completed a 40 minute, structured telephone interview annually between 2008-2012 to assess perceptions of participants' neighborhoods, mental and physical health status, social support, exposure to traumatic events, and alcohol and tobacco use. In addition, the study team completed a structured assessment of Detroit's 54 neighborhoods in order to describe the characteristics of respondents' neighborhoods. The assessment included information about the quality of housing exteriors; presence of graffiti, abandoned cars, alcohol and tobacco advertisements, and security warning signs; presence of vacant buildings; and street and traffic noise levels. All survey participants were offered the opportunity to provide a blood specimen (venipuncture, blood spot, or saliva) for immune and inflammatory marker testing as well as genetic testing of DNA. Participants received an additional $25USD if they elected to give a sample. Informed consent was obtained at the beginning of each interview and again at specimen collection. However, these specimens are not included as part of this data collection. For more information about the study, please visit the Detroit Neighborhood Health Study website. Genotypic data from DNHS are available on the NIH database of Genotypes and Phenotypes (dbGaP).

In the fall of 1993, the entering 1st graders in nine Baltimore City, Maryland public elementary schools were recruited for participation in a randomized trial of two universal, preventive interventions. Both interventions targeted the early antecedent risk behaviors of poor academic achievement and aggressive/coercive behavior and their distal correlates: substance abuse/dependence, antisocial behavior, high risk sexual behavior, sexually transmitted infections (STIs), and psychiatric symptoms and disorders. One intervention, the classroom-centered intervention (CC), sought to reduce the early risk behaviors of poor achievement and aggressive/coercive behaviors through the enhancement of classroom curricula and teacher instructional and behavior management practices. The second intervention, the family-school partnership intervention (FSP), sought to reduce these early risk behaviors by improving parent-teacher/school mental health professional collaboration and by enhancing parents' teaching and behavior management skills. The participating students and 1st grade teachers were randomly assigned to either the CC or FSP classroom-level conditions or to a control or standard setting classroom. The participating students' outcomes were assessed from the fall of 1st grade through 12th grade. Annual outcome assessments continued following high school through age ~ 26. Data from participating students' self-report of substance use and its putative mediators and moderators in 8th through 12th grade are available in this dataset. The principal investigator withheld the intervention status variable that distinguishes the intervention groups from the control group. You may contact the Principal investigator to discuss obtaining the intervention variable. This dataset contains variables on frequency of respondents' substance use during the respondents' lifetime as well as in the year, month, week prior to the survey. In addition, the dataset contains variables on alcohol consumption. The dataset also contains variables on the respondents' perceptions of the availability and harmfulness of substances. Respondents were also asked about perception of how many of his/her friends used drugs as well as their attitudes towards drug use, including personal disapproval of drug use, and perceived attitudes of parents and friends towards the respondents' drug use. Respondents were asked whether and how often they were offered substances to use and their intention to use substances if offered in the future. Substances asked about include tobacco, alcohol, marijuana, cocaine, crack, heroin, ecstasy, and inhalants. This dataset contains 1535 variables and 713 respondents. The only demographic variables in this dataset are race and gender.

The Drug Abuse Warning Network (DAWN) is a nationally representative public health surveillance system that has monitored drug related emergency department (ED) visits to hospitals since the early 1970s. First administered by the Drug Enforcement Administration (DEA) and the National Institute on Drug Abuse (NIDA), the responsibility for DAWN now rests with the Substance Abuse and Mental Health Services Administration's (SAMHSA) Center for Behavioral Health Statistics and Quality (CBHSQ). Over the years, the exact survey methodology has been adjusted to improve the quality, reliability, and generalizability of the information produced by DAWN. The current approach was first fully implemented in the 2004 data collection year. DAWN relies on a longitudinal probability sample of hospitals located throughout the United States. To be eligible for selection into the DAWN sample, a hospital must be a non-Federal, short-stay, general surgical and medical hospital located in the United States, with at least one 24-hour ED. DAWN cases are identified by the systematic review of ED medical records in participating hospitals. The unit of analysis is any ED visit involving recent drug use. DAWN captures both ED visits that are directly caused by drugs and those in which drugs are a contributing factor but not the direct cause of the ED visit. The reason a patient used a drug is not part of the criteria for considering a visit to be drug related. Therefore, all types of drug-related events are included: drug misuse or abuse, accidental drug ingestion, drug-related suicide attempts, malicious drug poisonings, and adverse reactions. DAWN does not report medications that are unrelated to the visit. The DAWN public-use dataset provides information for all types of drugs, including illegal drugs, prescription drugs, over-the-counter medications, dietary supplements, anesthetic gases, substances that have psychoactive effects when inhaled, alcohol when used in combination with other drugs (all ages), and alcohol alone (only for patients aged 20 or younger). Public-use dataset variables describe and categorize up to 16 drugs contributing to the ED visit, including toxicology confirmation and route of administration. Administrative variables specify the type of case, case disposition, categorized episode time of day, and quarter of year. Metropolitan area is included for represented metropolitan areas. Created variables include the number of unique drugs reported and case-level indicators for alcohol, non-alcohol illicit substances, any pharmaceutical, non-medical use of pharmaceuticals, and all misuse and abuse of drugs. Demographic items include age category, sex, and race/ethnicity. Complex sample design and weighting variables are included to calculate various estimates of drug-related ED visits for the Nation as a whole, as well as for specific metropolitan areas, from the ED visits classified as DAWN cases in the selected hospitals.

The Drug Abuse Warning Network (DAWN) is a nationally representative public health surveillance system that has monitored drug related emergency department (ED) visits to hospitals since the early 1970s. First administered by the Drug Enforcement Administration (DEA) and the National Institute on Drug Abuse (NIDA), the responsibility for DAWN now rests with the Substance Abuse and Mental Health Services Administration's (SAMHSA) Center for Behavioral Health Statistics and Quality (CBHSQ). Over the years, the exact survey methodology has been adjusted to improve the quality, reliability, and generalizability of the information produced by DAWN. The current approach was first fully implemented in the 2004 data collection year. DAWN relies on a longitudinal probability sample of hospitals located throughout the United States. To be eligible for selection into the DAWN sample, a hospital must be a non-Federal, short-stay, general surgical and medical hospital located in the United States, with at least one 24-hour ED. DAWN cases are identified by the systematic review of ED medical records in participating hospitals. The unit of analysis is any ED visit involving recent drug use. DAWN captures both ED visits that are directly caused by drugs and those in which drugs are a contributing factor but not the direct cause of the ED visit. The reason a patient used a drug is not part of the criteria for considering a visit to be drug related. Therefore, all types of drug-related events are included: drug misuse or abuse, accidental drug ingestion, drug-related suicide attempts, malicious drug poisonings, and adverse reactions. DAWN does not report medications that are unrelated to the visit. The DAWN public-use dataset provides information for all types of drugs, including illegal drugs, prescription drugs, over-the-counter medications, dietary supplements, anesthetic gases, substances that have psychoactive effects when inhaled, alcohol when used in combination with other drugs (all ages), and alcohol alone (only for patients aged 20 or younger). Public-use dataset variables describe and categorize up to 16 drugs contributing to the ED visit, including toxicology confirmation and route of administration. Administrative variables specify the type of case, case disposition, categorized episode time of day, and quarter of year. Metropolitan area is included for represented metropolitan areas. Created variables include the number of unique drugs reported and case-level indicators for alcohol, non-alcohol illicit substances, any pharmaceutical, non-medical use of pharmaceuticals, and all misuse and abuse of drugs. Demographic items include age category, sex, and race/ethnicity. Complex sample design and weighting variables are included to calculate various estimates of drug-related ED visits for the Nation as a whole, as well as for specific metropolitan areas, from the ED visits classified as DAWN cases in the selected hospitals.

The Drug Abuse Warning Network (DAWN) is a nationally representative public health surveillance system that has monitored drug related emergency department (ED) visits to hospitals since the early 1970s. First administered by the Drug Enforcement Administration (DEA) and the National Institute on Drug Abuse (NIDA), the responsibility for DAWN now rests with the Substance Abuse and Mental Health Services Administration's (SAMHSA) Center for Behavioral Health Statistics and Quality (CBHSQ). Over the years, the exact survey methodology has been adjusted to improve the quality, reliability, and generalizability of the information produced by DAWN. The current approach was first fully implemented in the 2004 data collection year. DAWN relies on a longitudinal probability sample of hospitals located throughout the United States. To be eligible for selection into the DAWN sample, a hospital must be a non-Federal, short-stay, general surgical and medical hospital located in the United States, with at least one 24-hour ED. DAWN cases are identified by the systematic review of ED medical records in participating hospitals. The unit of analysis is any ED visit involving recent drug use. DAWN captures both ED visits that are directly caused by drugs and those in which drugs are a contributing factor but not the direct cause of the ED visit. The reason a patient used a drug is not part of the criteria for considering a visit to be drug related. Therefore, all types of drug-related events are included: drug misuse or abuse, accidental drug ingestion, drug-related suicide attempts, malicious drug poisonings, and adverse reactions. DAWN does not report medications that are unrelated to the visit. The DAWN public-use dataset provides information for all types of drugs, including illegal drugs, prescription drugs, over-the-counter medications, dietary supplements, anesthetic gases, substances that have psychoactive effects when inhaled, alcohol when used in combination with other drugs (all ages), and alcohol alone (only for patients aged 20 or younger). Public-use dataset variables describe and categorize up to 16 drugs contributing to the ED visit, including toxicology confirmation and route of administration. Administrative variables specify the type of case, case disposition, categorized episode time of day, and quarter of year. Metropolitan area is included for represented metropolitan areas. Created variables include the number of unique drugs reported and case-level indicators for alcohol, non-alcohol illicit substances, any pharmaceutical, non-medical use of pharmaceuticals, and all misuse and abuse of drugs. Demographic items include age category, sex, and race/ethnicity. Complex sample design and weighting variables are included to calculate various estimates of drug-related ED visits for the Nation as a whole, as well as for specific metropolitan areas, from the ED visits classified as DAWN cases in the selected hospitals.

The Drug Abuse Warning Network (DAWN) is a nationally representative public health surveillance system that has monitored drug related emergency department (ED) visits to hospitals since the early 1970s. First administered by the Drug Enforcement Administration (DEA) and the National Institute on Drug Abuse (NIDA), the responsibility for DAWN now rests with the Substance Abuse and Mental Health Services Administration's (SAMHSA) Center for Behavioral Health Statistics and Quality (CBHSQ). Over the years, the exact survey methodology has been adjusted to improve the quality, reliability, and generalizability of the information produced by DAWN. The current approach was first fully implemented in the 2004 data collection year. DAWN relies on a longitudinal probability sample of hospitals located throughout the United States. To be eligible for selection into the DAWN sample, a hospital must be a non-federal, short-stay, general surgical and medical hospital located in the United States, with at least one 24-hour ED. DAWN cases are identified by the systematic review of ED medical records in participating hospitals. The unit of analysis is any ED visit involving recent drug use. DAWN captures both ED visits that are directly caused by drugs and those in which drugs are a contributing factor but not the direct cause of the ED visit. The reason a patient used a drug is not part of the criteria for considering a visit to be drug related. Therefore, all types of drug-related events are included: drug misuse or abuse, accidental drug ingestion, drug-related suicide attempts, malicious drug poisonings, and adverse reactions. DAWN does not report medications that are unrelated to the visit. The DAWN public-use dataset provides information for all types of drugs, including illegal drugs, prescription drugs, over-the-counter medications, dietary supplements, anesthetic gases, substances that have psychoactive effects when inhaled, alcohol when used in combination with other drugs (all ages), and alcohol alone (only for patients aged 20 or younger). Public-use dataset variables describe and categorize up to 16 drugs contributing to the ED visit, including toxicology confirmation and route of administration. Administrative variables specify the type of case, case disposition, categorized episode time of day, and quarter of year. Metropolitan area is included for represented metropolitan areas. Created variables include the number of unique drugs reported and case-level indicators for alcohol, non-alcohol illicit substances, any pharmaceutical, non-medical use of pharmaceuticals, and all misuse and abuse of drugs. Demographic items include age category, sex, and race/ethnicity. Complex sample design and weighting variables are included to calculate various estimates of drug-related ED visits for the Nation as a whole, as well as for specific metropolitan areas, from the ED visits classified as DAWN cases in the selected hospitals.

The Drug Abuse Warning Network (DAWN) is a nationally representative public health surveillance system that has monitored drug related emergency department (ED) visits to hospitals since the early 1970s. First administered by the Drug Enforcement Administration (DEA) and the National Institute on Drug Abuse (NIDA), the responsibility for DAWN now rests with the Substance Abuse and Mental Health Services Administration's (SAMHSA) Center for Behavioral Health Statistics and Quality (CBHSQ). Over the years, the exact survey methodology has been adjusted to improve the quality, reliability, and generalizability of the information produced by DAWN. The current approach was first fully implemented in the 2004 data collection year. DAWN relies on a longitudinal probability sample of hospitals located throughout the United States. To be eligible for selection into the DAWN sample, a hospital must be a non-Federal, short-stay, general surgical and medical hospital located in the United States, with at least one 24-hour ED. DAWN cases are identified by the systematic review of ED medical records in participating hospitals. The unit of analysis is any ED visit involving recent drug use. DAWN captures both ED visits that are directly caused by drugs and those in which drugs are a contributing factor but not the direct cause of the ED visit. The reason a patient used a drug is not part of the criteria for considering a visit to be drug related. Therefore, all types of drug-related events are included: drug misuse or abuse, accidental drug ingestion, drug-related suicide attempts, malicious drug poisonings, and adverse reactions. DAWN does not report medications that are unrelated to the visit. The DAWN public-use dataset provides information for all types of drugs, including illegal drugs, prescription drugs, over-the-counter medications, dietary supplements, anesthetic gases, substances that have psychoactive effects when inhaled, alcohol when used in combination with other drugs (all ages), and alcohol alone (only for patients aged 20 or younger). Public-use dataset variables describe and categorize up to 16 drugs contributing to the ED visit, including toxicology confirmation and route of administration. Administrative variables specify the type of case, case disposition, categorized episode time of day, and quarter of year. Metropolitan area is included for represented metropolitan areas. Created variables include the number of unique drugs reported and case-level indicators for alcohol, non-alcohol illicit substances, any pharmaceutical, non-medical use of pharmaceuticals, and all misuse and abuse of drugs. Demographic items include age category, sex, and race/ethnicity. Complex sample design and weighting variables are included to calculate various estimates of drug-related ED visits for the Nation as a whole, as well as for specific metropolitan areas, from the ED visits classified as DAWN cases in the selected hospitals.

The Drug Abuse Warning Network (DAWN) is a nationally representative public health surveillance system that has monitored drug related emergency department (ED) visits to hospitals since the early 1970s. First administered by the Drug Enforcement Administration (DEA) and the National Institute on Drug Abuse (NIDA), the responsibility for DAWN now rests with the Substance Abuse and Mental Health Services Administration's (SAMHSA) Center for Behavioral Health Statistics and Quality (CBHSQ). Over the years, the exact survey methodology has been adjusted to improve the quality, reliability, and generalizability of the information produced by DAWN. The current approach was first fully implemented in the 2004 data collection year. DAWN relies on a longitudinal probability sample of hospitals located throughout the United States. To be eligible for selection into the DAWN sample, a hospital must be a non-Federal, short-stay, general surgical and medical hospital located in the United States, with at least one 24-hour ED. DAWN cases are identified by the systematic review of ED medical records in participating hospitals. The unit of analysis is any ED visit involving recent drug use. DAWN captures both ED visits that are directly caused by drugs and those in which drugs are a contributing factor but not the direct cause of the ED visit. The reason a patient used a drug is not part of the criteria for considering a visit to be drug-related. Therefore, all types of drug-related events are included: drug misuse or abuse, accidental drug ingestion, drug-related suicide attempts, malicious drug poisonings, and adverse reactions. DAWN does not report medications that are unrelated to the visit. The DAWN public-use dataset provides information for all types of drugs, including illegal drugs, prescription drugs, over-the-counter medications, dietary supplements, anesthetic gases, substances that have psychoactive effects when inhaled, alcohol when used in combination with other drugs (all ages), and alcohol alone (only for patients aged 20 or younger). Public-use dataset variables describe and categorize up to 22 drugs contributing to the ED visit, including toxicology confirmation and route of administration. Administrative variables specify the type of case, case disposition, categorized episode time of day, and quarter of year. Metropolitan area is included for represented metropolitan areas. Created variables include the number of unique drugs reported and case-level indicators for alcohol, non-alcohol illicit substances, any pharmaceutical, non-medical use of pharmaceuticals, and all misuse and abuse of drugs. Demographic items include age category, sex, and race/ethnicity. Complex sample design and weighting variables are included to calculate various estimates of drug-related ED visits for the Nation as a whole, as well as for specific metropolitan areas, from the ED visits classified as DAWN cases in the selected hospitals.

The Drug Abuse Warning Network (DAWN) is a nationally representative public health surveillance system that has monitored drug related emergency department (ED) visits to hospitals since the early 1970s. First administered by the Drug Enforcement Administration (DEA) and the National Institute on Drug Abuse (NIDA), the responsibility for DAWN now rests with the Substance Abuse and Mental Health Services Administration's (SAMHSA) Center for Behavioral Health Statistics and Quality (CBHSQ). Over the years, the exact survey methodology has been adjusted to improve the quality, reliability, and generalizability of the information produced by DAWN. The current approach was first fully implemented in the 2004 data collection year. DAWN relies on a longitudinal probability sample of hospitals located throughout the United States. To be eligible for selection into the DAWN sample, a hospital must be a non-Federal, short-stay, general surgical and medical hospital located in the United States, with at least one 24-hour ED. DAWN cases are identified by the systematic review of ED medical records in participating hospitals. The unit of analysis is any ED visit involving recent drug use. DAWN captures both ED visits that are directly caused by drugs and those in which drugs are a contributing factor but not the direct cause of the ED visit. The reason a patient used a drug is not part of the criteria for considering a visit to be drug-related. Therefore, all types of drug-related events are included: drug misuse or abuse, accidental drug ingestion, drug-related suicide attempts, malicious drug poisonings, and adverse reactions. DAWN does not report medications that are unrelated to the visit. The DAWN public-use dataset provides information for all types of drugs, including illegal drugs, prescription drugs, over-the-counter medications, dietary supplements, anesthetic gases, substances that have psychoactive effects when inhaled, alcohol when used in combination with other drugs (all ages), and alcohol alone (only for patients aged 20 or younger). Public-use dataset variables describe and categorize up to 22 drugs contributing to the ED visit, including toxicology confirmation and route of administration. Administrative variables specify the type of case, case disposition, categorized episode time of day, and quarter of year. Metropolitan area is included for represented metropolitan areas. Created variables include the number of unique drugs reported and case-level indicators for alcohol, non-alcohol illicit substances, any pharmaceutical, non-medical use of pharmaceuticals, and all misuse and abuse of drugs. Demographic items include age category, sex, and race/ethnicity. Complex sample design and weighting variables are included to calculate various estimates of drug-related ED visits for the Nation as a whole, as well as for specific metropolitan areas, from the ED visits classified as DAWN cases in the selected hospitals.

The Drug Abuse Warning Network (DAWN) is a nationally representative public health surveillance system that has monitored drug related emergency department (ED) visits to hospitals since the early 1970s. First administered by the Drug Enforcement Administration (DEA) and the National Institute on Drug Abuse (NIDA), the responsibility for DAWN now rests with the Substance Abuse and Mental Health Services Administration's (SAMHSA) Center for Behavioral Health Statistics and Quality (CBHSQ). Over the years, the exact survey methodology has been adjusted to improve the quality, reliability, and generalizability of the information produced by DAWN. The current approach was first fully implemented in the 2004 data collection year. DAWN relies on a longitudinal probability sample of hospitals located throughout the United States. To be eligible for selection into the DAWN sample, a hospital must be a non-Federal, short-stay, general surgical and medical hospital located in the United States, with at least one 24-hour ED. DAWN cases are identified by the systematic review of ED medical records in participating hospitals. The unit of analysis is any ED visit involving recent drug use. DAWN captures both ED visits that are directly caused by drugs and those in which drugs are a contributing factor but not the direct cause of the ED visit. The reason a patient used a drug is not part of the criteria for considering a visit to be drug-related. Therefore, all types of drug-related events are included: drug misuse or abuse, accidental drug ingestion, drug-related suicide attempts, malicious drug poisonings, and adverse reactions. DAWN does not report medications that are unrelated to the visit. The DAWN public-use dataset provides information for all types of drugs, including illegal drugs, prescription drugs, over-the-counter medications, dietary supplements, anesthetic gases, substances that have psychoactive effects when inhaled, alcohol when used in combination with other drugs (all ages), and alcohol alone (only for patients aged 20 or younger). Public-use dataset variables describe and categorize up to 22 drugs contributing to the ED visit, including toxicology confirmation and route of administration. Administrative variables specify the type of case, case disposition, categorized episode time of day, and quarter of year. Metropolitan area is included for represented metropolitan areas. Created variables include the number of unique drugs reported and case-level indicators for alcohol, non-alcohol illicit substances, any pharmaceutical, non-medical use of pharmaceuticals, and all misuse and abuse of drugs. Demographic items include age category, sex, and race/ethnicity. Complex sample design and weighting variables are included to calculate various estimates of drug-related ED visits for the Nation as a whole, as well as for specific metropolitan areas, from the ED visits classified as DAWN cases in the selected hospitals.

The Drug Use Among Young Indians: Epidemiology and Prediction study is an annual surveillance effort assessing the levels and patterns of substance use among American Indian (AI) adolescents attending schools on or near reservations. In addition to annual epidemiology of substance use, data pertaining to the normative environment for adolescent substance use were also obtained. For this data collection data comes from annual in-school surveys completed between the years 1993 to 2006, and 2009 to 2013. Students completed the surveys at school during a specified class period. The dataset contains 534 variables for 26,451 students in grades 7 to 12.

The Drug Use and Cultural Factors Among Hispanic Adolescents and Emerging Adults - Los Angeles, 2006-2016 collection examines the cultural risk and protective factors for substance use among Hispanic adolescents and emerging adults in Southern California. Adolescents were recruited in 9th grade and completed annual surveys about their substance use, acculturation, ethnic identity, cultural stressors, peer and family relationships, and cultural values. They were re-contacted to complete surveys in their early 20s; this survey also included measures of sexual behavior and interpersonal violence. Demographic variables present in this collection include age, gender, grade in school, ethnicity, country of origin, education level, language spoken, socioeconomic status, marital status, sexual orientation, ZIP code, and place of residence.

The 2018 Atlanta Youth Count (AYC18), a follow-up to the 2015 Atlanta Youth Count and Needs Assessment (AYCNA), was expanded in 2018 to specifically address sex and labor trafficking among youth experiencing homelessness in metro Atlanta. This project was designed to provide impact on court, law enforcement, and victim service practices at the jurisdictional level in Georgia, and beyond. Homeless youth in metro Atlanta and surrounding counties were contacted through outreach efforts at youth shelters, motels, and street locations where homeless youth tend to congregate. Data collection focused on basic demographic information, history of homelessness, health, sexual experiences, and social supports.

In this study, the research team conducted a randomized controlled trial (RCT) comparing sexual assault perpetration and related outcomes (i.e., bystander behavior, rape myth acceptance) for men who received a alcohol-only group intervention to men who received an integrated alcohol and sexual assault group intervention. Specifically, the alcohol-only intervention consisted of the Brief Alcohol Screening and Intervention for College Students (BASICS), an empirically-supported intervention for college student drinking. The integrated alcohol and sexual assault intervention, termed the Alcohol and Relationships Group, was modeled after BASICS and empirically-supported Bystander and Social Norms interventions for sexual assault. The research aims for this study were: To examine whether reductions in alcohol use predict reductions in sexual assault perpetration over the course of a 6-month follow-up period To examine whether men randomized to the integrated intervention have superior sexual assault outcomes (reduced sexual assault perpetration, increased active bystander behaviors, reduced endorsement of unhealthy sexual social norms, and reduced rape myth acceptance) relative to men randomized to BASICS only The current study recruited 93 college men who were sanctioned by their university to receive an alcohol intervention for violating a campus alcohol policy: by definition, an indicated and at-risk population for sexual assault perpetration. Men were followed for 6 months to determine the effects of the intervention on sexual assault perpetration and other primary outcomes (e.g., bystander behavior). Measures were taken at baseline, at 3 months, and at 6 months.

The Flint [Michigan] Adolescent Study (FAS): A Longitudinal Follow-Up Study of Substance Use on Adult Transitional Events, 2000-2003 collection includes data collected as part of four follow-up waves conducted for the Flint Adolescent Study (FAS). These data are waves five through eight, the original four waves can be found in ICPSR study 34598 (Flint [Michigan] Adolescent Study (FAS): A Longitudinal Study of School Dropout and Substance Use, 1994-1997.) The Flint Adolescent Study (FAS) originally interviewed 850 ninth graders in the four public high schools of Flint, MI, between 1994 and 1997. Follow-up wave interviews were conducted four years after high school, between 2000 and 2003, as participants transitioned to young adulthood. The study was conducted in collaboration with the projects of Urban and Regional Affairs and Flint Community Schools. The goal of the study was to explore the protective factors associated with school dropout and alcohol and substance use. The study followed the youths for four years beginning in the Fall of 1994 to gather the first four waves of the study. The sample reflected the overall student body in the Flint high schools. In order to study those students most at risk for leaving school before graduation, individuals with grade point averages of 3.0 and below were selected. Interviews were conducted face-to-face with each participant in a community location. Each interview took about one hour to complete. At the end of the interview students were asked to complete the last section of the questionnaire containing questions about their drug use and sexual behavior by themselves. Information obtained from the participants include: participation in church and community organizations; social support and influence of family and friends; self-esteem and psychological wellbeing; delinquent and violent behaviors; alcohol and substance use; sexual behavior and child bearing; school attitudes and performance; and family structure and relationships. Many items included in the follow-up waves repeat those present in the original surveys. Questions were also asked about driving behavior, stress, and racial identity. Data was also collected about participant education and occupation. Demographic variables in this collection include age, sex, race, education, occupation, employment history, residence type, household composition, height and weight, marital status, and number of children.

The General Social Surveys (GSS) were designed as part of a data diffusion project in 1972. The GSS replicated questionnaire items and wording in order to facilitate time-trend studies. The latest survey, GSS 2010, includes a cumulative file that merges all 28 General Social Surveys into a single file containing data from 1972 to 2010. The items appearing in the surveys are one of three types: Permanent questions that occur on each survey, rotating questions that appear on two out of every three surveys (1973, 1974, and 1976, or 1973, 1975, and 1976), and a few occasional questions such as split ballot experiments that occur in a single survey. The 2010 surveys included four topic modules: quality of working life, science, shared capitalism, and CDC high risk behaviors. The International Social Survey Program (ISSP) module included in the 2010 survey was environment. The data also contain several variables describing the demographic characteristics of the respondents.

The General Social Surveys (GSS) were designed as part of a data diffusion project in 1972. The GSS replicated questionnaire items and wording in order to facilitate time-trend studies. The latest survey, GSS 2012, includes a cumulative file that merges all 29 General Social Surveys into a single file containing data from 1972 to 2012. The items appearing in the surveys are one of three types: Permanent questions that occur on each survey, rotating questions that appear on two out of every three surveys (1973, 1974, and 1976, or 1973, 1975, and 1976), and a few occasional questions such as split ballot experiments that occur in a single survey. The 2012 surveys included seven topic modules: Jewish identity, generosity, workplace violence, science, skin tone, and modules for experimental and miscellaneous questions. The International Social Survey Program (ISSP) module included in the 2012 survey was gender. The data also contain several variables describing the demographic characteristics of the respondents.

Since 1972, the General Social Survey (GSS) has been monitoring societal change and studying the growing complexity of American society. The GSS aims to gather data on contemporary American society in order to monitor and explain trends and constants in attitudes, behaviors, and attributes; to examine the structure and functioning of society in general as well as the role played by relevant subgroups; to compare the United States to other societies in order to place American society in comparative perspective and develop cross-national models of human society; and to make high-quality data easily accessible to scholars, students, policy makers, and others, with minimal cost and waiting. GSS questions include such items as national spending priorities, marijuana use, crime and punishment, race relations, quality of life, and confidence in institutions. Since 1988, the GSS has also collected data on sexual behavior including number of sex partners, frequency of intercourse, extramarital relationships, and sex with prostitutes. The 2014 GSS has modules on quality of working life, shared capitalism, wealth, work and family balance, social identity, social isolation, and civic participation. In 1985 the GSS co-founded the International Social Survey Program (ISSP). The ISSP has conducted an annual cross-national survey each year since then and has involved 58 countries and interviewed over one million respondents. The ISSP asks an identical battery of questions in all countries; the U.S. version of these questions is incorporated into the GSS. The 2014 ISSP topics are National Identity and Citizenship. Demographic variables include age, gender, race, ethnicity, education, marital status, religion, employment status, income, household structure, and whether respondents were born in the United States.

Since 1972, the General Social Survey (GSS) has been monitoring societal change and studying the growing complexity of American society. The GSS aims to gather data on contemporary American society in order to monitor and explain trends and constants in attitudes, behaviors, and attributes; to examine the structure and functioning of society in general as well as the role played by relevant subgroups; to compare the United States to other societies in order to place American society in comparative perspective and develop cross-national models of human society; and to make high-quality data easily accessible to scholars, students, policy makers, and others, with minimal cost and waiting. GSS questions include such items as national spending priorities, marijuana use, crime and punishment, race relations, quality of life, and confidence in institutions. Since 1988, the GSS has also collected data on sexual behavior including number of sex partners, frequency of intercourse, extramarital relationships, and sex with prostitutes. In 1985 the GSS co-founded the International Social Survey Program (ISSP). The ISSP has conducted an annual cross-national survey each year since then and has involved 58 countries and interviewed over one million respondents. The ISSP asks an identical battery of questions in all countries; the U.S. version of these questions is incorporated into the GSS. The 2016 GSS added in new variables covering information regarding social media use, suicide, hope and optimism, arts and culture, racial/ethnic identity, flexibility of work, spouses work and occupation, home cohabitation, and health.

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the Roper Center for Public Opinion Research) directly for details on obtaining the data. This collection includes variable-level metadata of the 2014 poll What Shapes Health, a survey from National Public Radio/Robert Wood Johnson Foundation/Harvard School of Public Health conducted by Social Science Research Solutions (SSRS). Topics covered in this survey include: Concerned about own health Meaning of health Control over own health Effort into maintaining health Frequency of healthy activities Description of personal health Types of healthy habits On diet to lose weight Ways to improve health Things that cause health problems Childhood problems causing future health issues Participation in community organizations Volunteering improving health Being told to improve health Family/friend behavior influencing health Health habits of family/friends Problems experienced in adulthood Problems experience in childhood Receiving health care Difficulty accessing health care Parents' health Recent serious illnesses Diagnosed with health conditions Frequency of exercising Personal weight Smoking habits Health insurance The data and documentation files for this survey are available through the Roper Center for Public Opinion Research [Roper #31092363]. Frequencies and summary statistics for the 244 variables from this survey are available through the ICPSR social science variable database and can be accessed from the Variables tab.

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the Roper Center for Public Opinion Research) directly for details on obtaining the data. This collection includes variable-level metadata of Poll # 2005-PRIOR1: Priorities 1--Health Care, a survey from the Harvard School of Public Health and the Robert Wood Johnson Foundation conducted by ICR-International Communications Research. Topics covered in this survey include: Most important health issues for the government to address Most important health care issues for the government to address Importance of goals for improving health and health care in country Rating of charitable foundations' work done to improve health and health care in country Health insurance coverage The data and documentation files for this survey are available through the Roper Center for Public Opinion Research [Roper #31092301]. Frequencies and summary statistics for the 252 variables from this survey are available through the ICPSR social science variable database and can be accessed from the Variables tab.

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the Roper Center for Public Opinion Research) directly for details on obtaining the data. This collection includes variable-level metadata of Poll # 2006-ADDICTION: Addiction Prevention and Treatment, a survey from the Harvard School of Public Health and the Robert Wood Johnson Foundation conducted by ICR-International Communications Research. Topics covered in this survey include: National spending on drug/alcohol prevention National spending on drug/alcohol treatment Favor/oppose increase in state taxes to improve drug/alcohol treatment programs Personal experience with drug/alcohol problems View on addiction as personal/community and health care problems Recommendation of hypothetical pill to friend/family member to help them stop drinking/using drugs Effectiveness of religious/spiritual guidance as a form of treatment for alcohol addiction Addiction to drugs/alcohol as personal weakness or form of illness Adequacy of number of high-quality treatment services available for teens/adults experiencing drug addiction in community The data and documentation files for this survey are available through the Roper Center for Public Opinion Research [Roper #31092309]. Frequencies and summary statistics for the 100 variables from this survey are available through the ICPSR social science variable database and can be accessed from the Variables tab.

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the Roper Center for Public Opinion Research) directly for details on obtaining the data. This collection includes variable-level metadata of Poll # 2006-HEALTH: Public Health, a survey from the Harvard School of Public Health and the Robert Wood Johnson Foundation conducted by ICR-International Communications Research. Topics covered in this survey include: Concern about immediate family members becoming ill soon Seasonal influenza shot/vaccine Prescription drugs Currently have items in home Avian/Bird Flu Preparedness of groups to provide needed services in the event of a worldwide flu epidemic The data and documentation files for this survey are available through the Roper Center for Public Opinion Research [Roper #31092312]. Frequencies and summary statistics for the 102 variables from this survey are available through the ICPSR social science variable database and can be accessed from the Variables tab.

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the Roper Center for Public Opinion Research) directly for details on obtaining the data. This collection includes variable-level metadata of Poll # 2006-PRIOR1: Priorities 1--Public Health, a survey from the Harvard School of Public Health and the Robert Wood Johnson Foundation conducted by ICR-International Communications Research. Topics covered in this survey include: Rating of nation's system for protecting the public from health threats/preventing illness Diseases/health conditions posing the greatest threat to the public Most important diseases/health conditions for the government to address Quality of life in community Rating of aspects of life in community Community problems Health conditions in community Importance of action to improve nation's health The data and documentation files for this survey are available through the Roper Center for Public Opinion Research [Roper #31092314]. Frequencies and summary statistics for the 112 variables from this survey are available through the ICPSR social science variable database and can be accessed from the Variables tab.

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the Roper Center for Public Opinion Research) directly for details on obtaining the data. This collection includes variable-level metadata of Poll # 2006-VIEWS: Americans' Views on Public Health, a survey from the Harvard School of Public Health and the Robert Wood Johnson Foundation conducted by ICR-International Communications Research. Topics covered in this survey include: Public health of America Government addressing public health Quality of life Problems in the community Health conditions in the community The data and documentation files for this survey are available through the Roper Center for Public Opinion Research [Roper #31092320]. Frequencies and summary statistics for the 111 variables from this survey are available through the ICPSR social science variable database and can be accessed from the Variables tab.

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the Roper Center for Public Opinion Research) directly for details on obtaining the data. This collection includes variable-level metadata of Poll # 2007-PRIOR1: Priorities 1--Public Health, a survey from the Harvard School of Public Health and the Robert Wood Johnson Foundation conducted by ICR-International Communications Research. Topics covered in this survey include: Rating of nation's system for protecting the public from health threats/preventing illness Diseases/health conditions posing the greatest threat to the public Most important diseases/health conditions for the government to address Community quality of life Rating of aspects of life in community Community problems Community health conditions Importance of suggested actions to improve nation's health The data and documentation files for this survey are available through the Roper Center for Public Opinion Research [Roper #31092326]. Frequencies and summary statistics for the 113 variables from this survey are available through the ICPSR social science variable database and can be accessed from the Variables tab.

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the Roper Center for Public Opinion Research) directly for details on obtaining the data. This collection includes variable-level metadata of Health Priorities 2--Americans' Views on Public Health, a survey from the Harvard School of Public Health and the Robert Wood Johnson Foundation conducted by International Communications Research (ICR). Topics covered in this survey include: National systems to protect against health threats Greatest threats to the public Problems facing families Local communities and problems facing them Suggestions to improve the country's health Respondent's personal and demographic information Other codes The data and documentation files for this survey are available through the Roper Center for Public Opinion Research [Roper #31092333]. Frequencies and summary statistics for the 148 variables from this survey are available through the ICPSR social science variable database and can be accessed from the Variables tab.

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the Roper Center for Public Opinion Research) directly for details on obtaining the data. This collection includes variable-level metadata of the Subethnicities Survey, a survey from the Harvard School of Public Health and the Robert Wood Johnson Foundation conducted by ICR-International Communications Research. Topics covered in this survey include: Family heritage Country born Healthcare system in U.S. Healthcare experiences Public health in the U.S. Avian or Bird Flu The data and documentation files for this survey are available through the Roper Center for Public Opinion Research [Roper #31092311]. Frequencies and summary statistics for the 55 variables from this survey are available through the ICPSR social science variable database and can be accessed from the Variables tab.

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the Roper Center for Public Opinion Research) directly for details on obtaining the data. This collection includes variable-level metadata of Health and Health Care Priorities, a survey by Harvard School of Public Health/Robert Wood Johnson Foundation conducted by ICR Survey Research Group. Topics covered in this survey include: Important health problems Satisfaction with state of nation Severity of health issues Organizations that improve health care Important laws to pass The data and documentation files for this survey are available through the Roper Center for Public Opinion Research [Roper #31092255]. Frequencies and summary statistics for the 92 variables from this survey are available through the ICPSR social science variable database and can be accessed from the Variables tab.

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the Roper Center for Public Opinion Research) directly for details on obtaining the data. This collection includes variable-level metadata of Poll: Drinking and Driving Survey, a survey from the Harvard School of Public Health and the Robert Wood Johnson Foundation conducted by ICR-International Communications Research. Topics covered in this survey include: Chronic disease Important health issues Drunk drivers The data and documentation files for this survey are available through the Roper Center for Public Opinion Research [Roper #31092267]. Frequencies and summary statistics for the 116 variables from this survey are available through the ICPSR social science variable database and can be accessed from the Variables tab.

Since 1982, the World Health Organization (WHO) Regional Office for Europe has sponsored a cross-national, school-based study of health-related attitudes and behaviors of young people. These studies, generally known as Health Behavior in School-Aged Children (HBSC), are based on nationally independent surveys of school-aged children in as many as 30 participating countries. The HBSC studies were conducted every four years since the 1985-1986 school year. The United States was one of three countries chosen to implement the survey out of cycle. The data available here are the results of the United States study from the 1995-1996 school year. The study results can be used as stand-alone data, or to compare to the other countries involved in the international HBSC. The HBSC study has two main objectives. The first objective is to monitor health-risk behaviors and attitudes in youth over time to provide background and identify targets for health promotion initiatives. The second objective is to provide researchers with relevant information to understand and explain the development of health attitudes and behaviors through early adolescence. The study contains variables dealing with many types of drugs such as tobacco, alcohol, marijuana, cocaine, inhalants, hallucinogens, and over-the-counter medications. The study also examines a person's health and health behaviors such as eating habits, depression, injuries, anti-social behavior including questions concerning bullying, fighting, using weapons, and how one deals with anger. There are also questions concerning problems with attention span at school and opinions about school itself.

Since 1982, the World Health Organization (WHO) Regional Office for Europe has sponsored a cross-national, school-based study of health-related attitudes and behaviors of young people. These studies, generally known as Health Behavior in School-Aged Children (HBSC), are based on independent national surveys of school-aged children in as many as 30 participating countries. The HBSC studies were conducted every four years since the 1985-1986 school year. The data available here are from the results of the United States survey conducted during the 1997-1998 school year. The study results can be used as stand-alone data, or to compare with the other countries involved in the international HBSC. The HBSC study has two main objectives. The first objective is to monitor health-risk behaviors and attitudes in youth over time to provide background data and to identify targets for health promotion initiatives. The second objective is to provide researchers with relevant information in order to understand and explain the development of health attitudes and behaviors through early adolescence. The study contains variables dealing with many types of drugs such as tobacco, alcohol, marijuana, cocaine, inhalants, hallucinogens, and over-the-counter medications. The study also examines a person's health and other health behaviors such as eating habits, body image, health problems, family make-up, feelings, bullying, fighting, bringing weapons to school, personal injuries, and opinions about school.

Since 1982, the World Health Organization (WHO) Regional Office for Europe has sponsored a cross-national, school-based study of health-related attitudes and behaviors of young people. These studies, generally known as Health Behavior in School-Aged Children (HBSC), are based on independent national surveys of school-aged children in as many as 30 participating countries. The HBSC studies were conducted every four years since the 1985-1986 school year. The data available here are from the results of the United States survey conducted during the 2001-2002 school year. The study results can be used as stand-alone data, or to compare with the other countries involved in the international HBSC. The HBSC study has two main objectives. The first objective is to monitor health-risk behaviors and attitudes in youth over time to provide background data and to identify targets for health promotion initiatives. The second objective is to provide researchers with relevant information in order to understand and explain the development of health attitudes and behaviors through early adolescence. The study contains variables dealing with many types of drugs such as tobacco, alcohol, marijuana, inhalants, and any other substances. The study examines the first time these substances were used and the frequency of their use. Other topics include questions about the person's health and other health behaviors. Some of these topics include eating habits, body image, health problems, family make-up, personal injuries, bullying, fighting, and bringing weapons to school. A school administrator and the lead health education teacher also completed individual surveys concerning school programs and policies that affect students' health and the content of various health courses.

Since 1982, the World Health Organization (WHO) Regional Office for Europe has sponsored a cross-national, school-based study of health-related attitudes and behaviors of young people. These studies, generally known as Health Behavior in School-Aged Children (HBSC), are based on independent national surveys of school-aged children in more than 40 participating countries. The HBSC studies were conducted every four years since the 1985-1986 school year. The data available here are from the results of the United States survey conducted during the 2005-2006 school year. The study results can be used as stand-alone data, or to compare with the other countries involved in the international HBSC. The HBSC study has two main objectives. The first objective is to monitor health-risk behaviors and attitudes in youth over time to provide background data and to identify targets for health promotion initiatives. The second objective is to provide researchers with relevant information in order to understand and explain the development of health attitudes and behaviors through early adolescence. The study contains questions dealing with many types of drugs such as tobacco, alcohol, marijuana, and other substances. Other topics include questions about family composition, the student's physical health, and other health behaviors and attitudes. Some of these topics include eating habits, dieting, physical activity, body image, health problems, and bullying. A school administrator also completed a survey concerning the school's programs and policies that affect students' health and the content of various health courses.

Since 1982, the World Health Organization (WHO) Regional Office for Europe has sponsored a cross-national, school-based study of health-related attitudes and behaviors of young people. These studies, generally known as Health Behavior in School-Aged Children (HBSC), are based on independent national surveys of school-aged children in more than 40 participating countries. The HBSC studies were conducted every four years since the 1985-1986 school year. The data available here are from the results of the United States survey conducted during the 2009-2010 school year. The files contain data on 12,642 students from 314 participating schools. Of the 314 participating schools a school administrator questionnaire was completed by 283 of them. The study results can be used as stand-alone data, or to compare with the other countries involved in the international HBSC. The HBSC study has two main objectives. The first objective is to monitor health-risk behaviors and attitudes in youth over time to provide background data and to identify targets for health promotion initiatives. The second objective is to provide researchers with relevant information in order to understand and explain the development of health attitudes and behaviors through early adolescence. The study contains questions dealing with many types of drugs such as tobacco, alcohol, marijuana, and other substances. Other topics include questions about family composition, the student's physical health, and other health behaviors and attitudes. Some of these topics include eating habits, dieting, physical activity, body image, health problems, and bullying. A school administrator also completed a survey concerning the school's programs and policies that affect students' health and the content of various health courses.

The Johns Hopkins University Prevention Research center - Risks for Transitions, Baltimore city, 2008-2011 study (JHU PRC Risks for Transition in Drug Use among Urban Adults) represents data collected for a 25 years follow-up from the original JHU PRC study. At the start of the data collection, a cohort of 2,311 youth were randomly assigned to two classroom-based universal preventive interventions implemented in 43 classrooms of 19 public schools located in 5 socio-demographically distinct areas in Eastern Baltimore. This collection includes data from 1,434 respondents from the original cohort collected in 2008-2012. The mean age of the respondents was 30-32 years old. Psychopathology (major depressive episode, phobia and anxiety disorders) was assessed using modules from the Composite International Diagnostic Interview-University of Michigan Version, CIDI- UM (WHO, 1997). An antisocial symptom scale adapted from the National Epidemiologic Survey of Alcohol and Related Conditions (NESARC) was administered which consisted of 30 questions that assessed behaviors experienced since turning 18 years of age. The alcohol, tobacco and drug modules of the interview were modeled after NESARC Alcohol Use Disorder and Associated Disabilities Interview Schedule-IV. Types of information in these modules collected include age of onset, use in past year and prior past year, frequency and recency of use, and DSM-IV abuse and dependence criteria. Socioeconomic status indicators, variables on education, employment, marital status, parenthood, social supports, family history of mental health and drug problems, general health, treatment utilization, and life events are included in this dataset. This dataset includes 3,140 variables.

The Minnesota Adolescent Community Cohort (MACC) Study is a population-based, longitudinal study that enrolled 3636 youth from Minnesota and 605 youth from comparison states age 12 to 16 years in 2000-2001. Participants were surveyed by telephone semi-annually about their tobacco-related attitudes and behaviors. The goals of the study were to evaluate the effects of the Minnesota Youth Tobacco Prevention Initiative and its shutdown on youth smoking patterns, and to better define the patterns of development of tobacco use in adolescents. A multilevel sample was constructed representing individuals, local jurisdictions and the entire state, and data were collected to characterize each of these levels. Major topics covered by the survey are cigarette use, nicotine dependence, alcohol use and dependence, cigarette access, quitting smoking, use of other tobacco products and marijuana, parent smoking habits, tobacco marketing, emotions and stress perceptions, and perceptions and opinions of smoke-free laws, tobacco companies, and tobacco age restrictions. Demographic information includes age, education, ethnicity, gender, marital status, and income level.

The Monitoring the Future (MTF) project is a long-term epidemiologic and etiologic study of substance use among youth and adults in the United States. It is conducted at the University of Michigan's Institute for Social Research and is funded by a series of investigator-initiated research grants from the National Institute on Drug Abuse. The MTF panel study consists of six different survey forms (five forms from 1976-1988), and each survey contains a "core" set of questions about demographics and substance use. This study contains the "core" data for these questions compiled across all survey forms and years in which they are included for the longitudinal panel participants. The core panel dataset includes data for the base year (BY) 12th grade surveys (modal age 18) and their young adult follow-up FU surveys (modal ages 19-30). Here is a list of subjects included in the core dataset: Administrative variables Year of administration Survey form Survey date BY survey weight, sampling stratum and cluster FU panel analysis weights Demographics BY only #Parents in household Parent education levels Respondent's age in months Sex Race/Ethnicity Region of the country (school location) Population density/Urbanicity (school location) High school Zip Code, State and County FIPS codes (can be linked to user-provided data; results can be reported at no unit smaller than US geographical region) Absenteeism (illness, cutting, skipping class) High school program, Grades, post-high school plans FU only Sexuality/sexual identity Pregnancy status Household type Urbanicity Absenteeism (missing work due to illness, other) Vocational/Technical education, Armed forces, College attendance College grades, attendance, Greek life BY and FU Marital status Household composition Political preference Religious attendance, importance, preference Evenings out, Dating Employment Salary/earned Income and Other Income Driving, tickets, and accidents related to alcohol and other substance use Substance use Cigarette use Alcohol use (including binge drinking (e.g. 5+ drinks in a row/2 weeks), drunkenness) Marijuana/cannabis, hashish use LSD use Hallucinogen use, other than LSD Cocaine use (including cocaine, crack, other forms) Amphetamine use Sedatives/Barbiturate use Tranquilizer use Heroin use (with and without needles) Narcotics use (other than Heroin) Inhalant use Steroid use Ice use Methamphetamine use MDMA use Vaping: nicotine, marijuana, flavoring Please see the study documentation available on the MTF Panel series page for question-specific details. More information about the MTF project can be accessed through the Monitoring the Future, website. Annual reports are published by the research team, describing the data collection and trends over time.