This report contains results from the latest survey of secondary school pupils in England in years 7 to 11 (mostly aged 11 to 15), focusing on smoking, drinking and drug use. It covers a range of topics including prevalence, habits, attitudes, and wellbeing. This survey is usually run every two years, however, due to the impact that the Covid pandemic had on school opening and attendance, it was not possible to run the survey as initially planned in 2020; instead it was delivered in the 2021 school year. In 2021 additional questions were also included relating to the impact of Covid. They covered how pupil's took part in school learning in the last school year (September 2020 to July 2021), and how often pupil's met other people outside of school and home. Results of analysis covering these questions have been presented within parts of the report and associated data tables. It includes this summary report showing key findings, excel tables with more detailed outcomes, technical appendices and a data quality statement. An anonymised record level file of the underlying data on which users can carry out their own analysis will be made available via the UK Data Service later in 2022 (see link below).

Drug Abuse Treatment Outcome Study - Adolescent (DATOS-A) was a multisite, prospective, community-based, longitudinal study of adolescents entering treatment. It was designed to evaluate the effectiveness of adolescent drug treatment by investigating the characteristics of the adolescent population, the structure and process of drug abuse treatment in adolescent programs, and the relationship of these factors with outcomes. Three major types or modalities of programs included in the study were chemical dependency or short-term inpatient (STI), therapeutic community or residential (RES), and outpatient drug-free (ODF). The adolescent battery of instruments included intake, intreatment, and follow-up questionnaires based largely on the DATOS adult study DRUG ABUSE TREATMENT OUTCOME STUDY (DATOS), 1991-1994: UNITED STATES instrument format, with considerable tailoring to the adolescent population. Clients entering treatment completed two comprehensive intake interviews (Intake 1 and Intake 2), approximately one week apart. This information is provided in Parts 1 and 2 of the data collection. These interviews were designed to obtain baseline data on drug use and other behaviors, such as illegal involvement, as well as information on background and demographic characteristics, education and training, mental health status, employment, income and expenditures, drug and alcohol dependence, health, religiosity and self-concept, and motivation and readiness for treatment. The one-, three-, and six-month intreatment interviews (Parts 3, 4, and 7) included items on treatment access, intreatment experience, and psychological functioning, as well as questions replicated from some of the domains in the Intake 1 and 2 questionnaires. The 12-month post-treatment follow-up interview (Part 5) included questions replicated from the previous interviews, and also included post-treatment status. Part 6 includes variables for time in treatment and interview availability indicators. The Measures Data (Part 8) were generated by using the Diagnostic and Statistical Manual of Mental Disorders (Rev. 3rd ed., DSM-III-R) (American Psychiatric Association, 1987). The variables in Part 8 give either the DSM-III-R level of dependence to a drug category or they describe whether the subject meets the DSM-III-R standard for a particular disorder. The 12-Month Follow-up Urine Result data (Part 9) provide the results from urine sample tests that were given to a sample of subjects at the time of the 12-Month Follow-up Interview. The urine test was used to ascertain the nature and extent of bias in the self-reports of the respondents. Urine specimens were tested for eight categories of drugs (amphetamines, barbiturates, benzodiazepines, cannabinoids, cocaine metabolite, methaqualone, opiates, and phencyclidine). The drugs covered in the study were alcohol, tobacco, marijuana (hashish, THC), cocaine (including crack), heroin, narcotics or opiates such as morphine, codeine, Demerol, Dilaudid, and Talwin, illegal methadone, sedatives and tranquilizers such as barbiturates and depressants, amphetamines or other stimulants such as speed or diet pills, methamphetamines, LSD, PCP, and other hallucinogens or psychedelics, and inhalants such as glue, gasoline, paint thinner, and aerosol sprays. The study also included drug of choice, frequency, and route of administration.

In the Netherlands, in 2019, over eight percent of ***** year-olds had consumed, at least once, a hard drug. The prevalence of teenage hard drug consumption increased with age. For instance, less than one percent of Dutch 12-year-olds have consumed a hard drug. Nonetheless, figures do not distinguish a ******** consumption from frequent use.

This short report uses data from the 2010 and 2011 National Surveys on Drug Use and Health (NSDUHs), the 2010 Treatment Episode Data Set (TEDS), the 2010 National Survey of Substance Abuse Treatment Services (N-SSATS), and the 2011 Drug Abuse Warning Network (DAWN) to present facts about adolescent substance use, including information on the initiation of substance use, past year substance use, emergency department visits, and receipt of substance use treatment.

Contains a set of data tables for each part of the Smoking, Drinking and Drug Use among Young People in England, 2021 report

Database of the nation''s substance abuse and mental health research data providing public use data files, file documentation, and access to restricted-use data files to support a better understanding of this critical area of public health. The goal is to increase the use of the data to most accurately understand and assess substance abuse and mental health problems and the impact of related treatment systems. The data include the U.S. general and special populations, annual series, and designs that produce nationally representative estimates. Some of the data acquired and archived have never before been publicly distributed. Each collection includes survey instruments (when provided), a bibliography of related literature, and related Web site links. All data may be downloaded free of charge in SPSS, SAS, STATA, and ASCII formats and most studies are available for use with the online data analysis system. This system allows users to conduct analyses ranging from cross-tabulation to regression without downloading data or relying on other software. Another feature, Quick Tables, provides the ability to select variables from drop down menus to produce cross-tabulations and graphs that may be customized and cut and pasted into documents. Documentation files, such as codebooks and questionnaires, can be downloaded and viewed online.

Around 25 percent of U.S. respondents in grades 8, 10, and 12 in 2024 stated that they used any illicit drug within their lifetime. This survey shows the lifetime prevalence of use of any illicit drug for grades 8, 10, and 12 combined from 1991 to 2024.

This report uses the 2011 Treatment Episode Data Set–Discharges (TEDS-D), a national data system of annual discharges from substance abuse treatment facilities, to create a profile of adolescents who enter treatment for substance abuse. Specifically, the report examines demographic characteristics of discharges from treatment, treatment setting, health insurance, primary substance of abuse, criminal justice referral, and treatment disposition.

Find data on the nonuse of substances among adolescents aged 12 to 17 from the 2023 National Survey on Drug Use and Health (NSDUH). Estimates include illicit drugs, alcohol, tobacco products, and nicotine vaping.

The Adolescent Substance Abuse Prevention Study (ASAPS) was a randomized field trial designed to test the effectiveness of a new school-based substance abuse prevention program called Take Charge of Your Life (TCYL). The program consisted of two curricula, one for middle schools and the other for high schools, which were delivered through the Drug Abuse Resistance Education network of law enforcement officers (D.A.R.E.). TCYL was developed building on existing D.A.R.E. seventh/eighth grade and tenth/eleventh grade curricula and applied principles and strategies suggested by published literature on effective drug abuse prevention programming and effective middle and high school curricula design. ASAPS was conducted among a 2001-2002 multi-site cohort of seventh graders who were followed for five years until the 2005-2006 school year when they were in the eleventh grade. The first TCYL curriculum was delivered in the treatment schools when the students were in seventh grade and the second was delivered when they were in the ninth grade. Over the five-year study period, the treatment and control students responded to seven self-administered surveys: (1) at baseline in the seventh grade, (2) post-intervention in the seventh grade, (3) in the eighth grade, (4) pre-intervention in the ninth grade, (5) post-intervention in the ninth grade, (6) in the tenth grade, and (7) in the eleventh grade. Topics covered by the surveys include normative beliefs, social skills, attitudes toward drug use, and self-reported use of alcohol, tobacco, marijuana, and other illicit drugs. The ASAPS data also include measures of implementation fidelity of the seventh and ninth grade TCYL curricula, which were obtained from trained observers who rated the D.A.R.E. officers' delivery in the classroom. The fidelity measures encompass content coverage and instructional strategy. This data collection comprises two data files, both with public- and restricted-use versions. The first (the Main Data File) contains the students' survey responses and the seventh grade curriculum fidelity measures, while the second (the 9th Grade Officer Observations Data) contains the ninth grade curriculum fidelity measures.

From 2018 to 2019, around *** percent of Hispanic adolescents aged 12 to 17 years in the United States reported having a substance abuse disorder during the past year. This statistic illustrates the percentage of adolescents in the U.S. with substance abuse disorders from 2018 to 2019, by race and ethnicity.

Identifies Tempe youth regarding substance misuse and other problematic youth behaviors, utilizing the Arizona Youth Survey that is administered by the Arizona Criminal Justice Commission, on behalf of the State of Arizona, biennially to Arizona 8th, 10th and 12th grade students. This alllows for data driven decision making to provide comprehensive youth substance use prevention educations to youth, parents, educators, and community stakeholders. This data also assist in creating goals and objectives to support Tempe youth along with securing grant funding from federal and state agencies. This page provides data for the Youth Drug Use and Misuse performance measure. The performance measure dashboard is available at 1.21 Youth Drug Use and MisuseAdditional InformationSource: Arizona Criminal Justice Commission Statistical Analysis CenterContact: Bernadette CogginsContact E-Mail: Bernadette_Coggins@tempe.govData Source Type: Excel; csvPreparation Method: Data extracted from Arizona Youth Survey, then manually compiled by outcomePublish Frequency: Every 2 years Publish Method: ManualData Dictionary (update pending)

This report uses 2002 to 2010 National Survey on Drug Use and Health (NSDUH) to assess past month alcohol use and binge alcohol among adolescents aged 12 to 17 by whether they lived with a mother or father that had an alcohol use disorder.

Historical Dataset of Adolescent Substance Abuse Program High School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2006-2013),Total Classroom Teachers Trends Over Years (2006-2013),Student-Teacher Ratio Comparison Over Years (2006-2013),Hispanic Student Percentage Comparison Over Years (2006-2013),Black Student Percentage Comparison Over Years (2006-2013),White Student Percentage Comparison Over Years (2006-2013),Diversity Score Comparison Over Years (2006-2013),Free Lunch Eligibility Comparison Over Years (2006-2012),Graduation Rate Comparison Over Years (2011-2014)

According to a survey that was conducted in October 2023 in Japan, around ** percent of 17- to 19-year-olds stated that they have never been close to drugs. This was followed by a share of over ***** percent of respondents who said that they had an acquaintance who knows someone who uses or owns drugs.

This report uses 2002 to 2010 National Survey on Drug Use and Health (NSDUH) to assess the average number of adolescents aged 12 to 17 using substances for the first time per day for the year as a whole and for each month of the year. Substances examined include alcohol, cigarettes, cigars, marijuana, nonmedical use of prescription type drugs, inhalants, hallucinogens, and cocaine. Results are shown for each substance by month.

The goal of this study was to test specific hypotheses illustrating the relationships among serious victimization experiences, the mental health effects of victimization, substance abuse/use, and delinquent behavior in adolescents. The study assessed familial and nonfamilial types of violence. It was designed as a telephone survey of American youth aged 12-17 living in United States households and residing with a parent or guardian. One parent or guardian in each household was interviewed briefly to establish rapport, secure permission to interview the targeted adolescent, and to ensure the collection of comparative data to examine potential nonresponse bias from households without adolescent participation. All interviews with both parents and adolescents were conducted using Computer-Assisted Telephone Interviewing (CATI) technology. From the surveys of parents and adolescents, the principal investigators created one data file by attaching the data from the parents to the records of their respective adolescents. Adolescents were asked whether violence and drug abuse were problems in their schools and communities and what types of violence they had personally witnessed. They were also asked about other stressful events in their lives, such as the loss of a family member, divorce, unemployment, moving to a new home or school, serious illness or injury, and natural disaster. Questions regarding history of sexual assault, physical assault, and harsh physical discipline elicited a description of the event and perpetrator, extent of injuries, age at abuse, whether alcohol or drugs were involved, and who was informed of the incident. Information was also gathered on the delinquent behavior of respondents and their friends, including destruction of property, assault, theft, sexual assault, and gang activity. Other questions covered history of personal and family substance use and mental health indicators, such as major depression, post-traumatic stress disorders, weight changes, sleeping disorders, and problems concentrating. Demographic information was gathered from the adolescents on age, race, gender, number of people living in household, and grade in school. Parents were asked whether they were concerned about violent crime, affordable child care, drug abuse, educational quality, gangs, and the safety of their children at school. In addition, they were questioned about their own victimization experiences and whether they discussed personal safety issues with their children. Parents also supplied demographic information on gender, marital status, number of children, employment status, education, race, and income.

Understanding the factors influencing youth smoking and drug experimentation is essential for shaping effective prevention strategies. This synthetic dataset simulates trends from 2020 to 2024, providing insights into demographic, social, and economic influences on substance use among young individuals.

With approximately 10,000 AI-generated records, this dataset serves as a risk-free and ethically responsible resource for researchers, policymakers, and analysts to explore substance use patterns and their potential causes.

🔍 Key Features: ✔️ Age Groups – Covers a broad spectrum, from 10 to 80 years ✔️ Smoking Prevalence – Modeled insights into smoking engagement among youth ✔️ Drug Experimentation Rates – Simulated trends in drug use patterns ✔️ Socioeconomic Influences – Examines how financial background correlates with substance use ✔️ Peer & Family Influence – Analyzes the role of social circles and family support in youth behavior

📊 Dataset Overview: This dataset is synthetically generated and does not contain real-world data. It is designed for educational purposes, research simulations, and analytical practice in understanding youth substance use trends.

🏢 Columns Description: Person_ID – Unique identifier for each synthetic individual Age – Modeled age group (10–80 years) Gender – Simulated gender representation Socioeconomic_Status – Categorized as Low, Middle, or High Smoking_Status – Modeled likelihood of smoking (Yes/No) Drug_Experimentation – Simulated data on whether the individual has experimented with drugs Family_Influence – Influence level of family support on behavior Peer_Influence – Impact of peer pressure on substance use ⚠️ Disclaimer: This dataset is entirely synthetic and should not be used for real-world policy decisions, medical research, or official reporting. It is intended solely for academic learning, trend analysis, and data science practice.

🔹 Use this dataset to explore trends, develop predictive models, and contribute to meaningful discussions on youth health and substance use prevention! 🌟

Adolescent substance usage ain the neighbourhood community of chennai Substance abuse or drug abuse is a patterned use of a drug in which the user consumes the substance in amounts or with methods which are harmful to themselves or others and is a form of substance related disorder Most adolescents who use drugs do not progress to become drug abusers or drug addicts in adulthood drug use in adolescence are a very risky proposition Typically school and relationships notably family relati

This report focuses on trends between 2002 and 2011 from the National Survey on Drug Use and Health (NSDUH) in risk perception and substance use among adolescents aged 12 to 17. Adolescents evaluated whether people risk physical and other harm when they drink alcohol, use marijuana, use cocaine, use LSD, and use heroin. Results are shown by year, adolescent substance use, age group, and gender.