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National Household Survey on Drug Abuse, 1982

Version
v4
Resource Type
Dataset : survey data
Creator
  • United States Department of Health and Human Services. National Institutes of Health. National Institute on Drug Abuse
Other Title
  • Version 4 (Subtitle)
Collective Title
  • National Survey on Drug Use and Health (NSDUH) Series
Publication Date
1997-05-16
Funding Reference
  • United States Department of Health and Human Services. National Institutes of Health. National Institute on Drug Abuse
Language
English
Free Keywords
alcohol; alcohol abuse; alcohol consumption; amphetamines; barbiturates; cocaine; demographic characteristics; drug abuse; drug use; drugs; hallucinogens; heroin; households; marijuana; methamphetamine; prescriptions drugs; sedatives; smoking; stimulants; substance abuse; substance abuse treatment; tobacco use; tranquilizers; youths
Description
  • Abstract

    This series measures the prevalence and correlates of drug use in the United States. The surveys are designed to provide quarterly, as well as annual, estimates. Information is provided on the use of illicit drugs, alcohol, tobacco, and nonmedical use of prescription drugs among members of United States households aged 12 and older. Questions include age at first use, as well as lifetime, annual, and past-month usage for the following drug classes: cannabis, cocaine, hallucinogens, heroin, alcohol, tobacco, and nonmedical use of prescription drugs, including psychotherapeutics. Respondents were also asked about problems resulting from their use of drugs, alcohol, and tobacco, their perceptions of the risks involved, and personal and family income sources and amounts. Half of the respondents were asked questions regarding substance use by close friends. Demographic data include gender, race, age, ethnicity, educational level, job status, income level, veteran status, household composition, and population density. Youth respondents were also asked about time spent on homework and leisure activities.
  • Methods

    ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Performed consistency checks.; Created online analysis version with question text.; Checked for undocumented or out-of-range codes..
  • Methods

    Response Rates: The interview completion rates for the three age groups were: 84 percent for youth, 81 percent for young adults, and 77 percent for older adults.
  • Table of Contents

    Datasets:

    • DS1: National Household Survey on Drug Abuse (NHSDA), 1982
Temporal Coverage
  • Time period: 1982
  • Collection date: 1981
  • Collection date: 1982
Geographic Coverage
  • United States
Sampled Universe
The civilian, noninstitutionalized population of the coterminous United States (Alaska and Hawaii excluded) aged 12 and older.
Sampling
Multistage area probability sample design involving five selection stages: (a) primary areas (e.g., counties), (b) subareas within primary areas (geographic area of approximately 2,500 population in 1970), (c) housing units within subareas, (d) age group domains within listed units, and (e) members of households within sampled age groups. The two race classifications were: White, and Black/other. The three age groups were: youth (age 12 to 17), young adult (age 18 to 34), and older adult (age 35 and older). Each age group was sampled separately, and the probability of selection decreased with the prospective respondent's age. One youth and/or one adult could be chosen per household. The basic national sample was supplemented by a sample of residents of rural areas. The overall interview completion rate was 81 percent.
Collection Mode
  • personal interviews and self-enumerated answer sheets (drug use)

    Data were collected by Response Analysis Corporation, Princeton, NJ, under contract with the National Institute on Drug Abuse. The data and codebook were prepared for release by Research Triangle Institute, Research Triangle Park, NC, and the codebook was initially distributed by National Opinion Research Center, Chicago, IL, under contracts with the Substance Abuse and Mental Health Services Administration.

    For selected variables, statistical imputation was done following logical imputation to replace missing responses. These variables are identified by the designation "IMPUTATION-REVISED" in the variable label, and the names of these variables begin with the letters "IR". For each imputation-revised variable there is a corresponding imputation indicator variable that indicates whether a case's value on the variable resulted from an interview response, logical imputation, or statistical imputation. The names of imputation indicator variables begin with the letters "II".

    Data were weighted based on two weight factors required in the sampling plan. The product of the sampling weight factors is equal to the inverse of each respondent's selection probability. Adjustments were made to compensate for nonresponse and sampling error. Adjustments also included a poststratification to Census population estimates.

    To protect the confidentiality of respondents, all variables that could be used to identify individuals have been encrypted or collapsed in the public use file. These modifications should not affect analytic uses of the public use file.

    Some frequencies related to interview information detailed on page 79 of the codebook (FINLRES1, VSADLTCM, PHADLTCM, VSYTHCM, PHYTHCM) reflect overlapping records. For example, although "Adult/Youth" (ADULTYTH) indicates that 4,043 adults were interviewed, "Final Adult Result" (FINLRES1) indicates that an adult interview was completed in 4,706 cases. Crosstabulation of these variables revealed that adult interviews were completed in 663 youth cases. This apparently represents households in which both an adult and a youth were interviewed.

    For some drugs that have multiple names, questions regarding the use of that drug may be asked for each distinct name. For example, the use of methedrine and desoxyn are measured separately in this study even though they are both methamphetamine.

Note
2015-11-23 Covers for the PDF documentation were revised.2015-02-03 Created a separate Questionnaire PDF that was extracted from the Codebook PDF.2013-06-19 Updated variable-level ddi files released.2008-06-18 New files were added. These files included one or more of the following: Stata setup, SAS transport (CPORT), SPSS system, Stata system, SAS supplemental syntax, and Stata supplemental syntax files, and tab-delimited ASCII data file. Also added variable CASEID to the dataset.1999-05-12 SAS and SPSS data definition statements have been updated to include value labels and missing values sections. Funding insitution(s): United States Department of Health and Human Services. National Institutes of Health. National Institute on Drug Abuse.
Availability
Download
This study is freely available to the general public via web download.
Alternative Identifiers
  • 6845 (Type: ICPSR Study Number)
Relations
  • Is new version of
    DOI: 10.3886/ICPSR06845.v3
Publications
  • Nguyen, Holly, Reuter, Peter. How risky is marijuana possession? Considering the role of age, race, and gender. Crime and Delinquency.58, (6), 879-910.2012.
    • ID: 10.1177/0011128712461122 (DOI)
  • Grucza, Richard A., Norberg, Karen E., Bierut, Laura J.. Binge drinking among youths and young adults in the United States: 1979-2006. Journal of the American Academy of Child and Adolescent Psychiatry.48, (7), 692-702.2009.
    • ID: 10.1097/CHI.0b013e3181a2b32f (DOI)
  • The White House. National Drug Control Strategy: Data Supplement 2009. NCJ 225448, Washington, DC: Office of National Drug Control Policy. 2009.
    • ID: http://www.whitehousedrugpolicy.gov/publications/policy/ndcs09/ndcs09_data_supl/09datasupplement.pdf (URL)
  • Harder, Valerie S., Chilcoat, Howard D.. Cocaine use and educational achievement: Understanding a changing association over the past 2 decades. American Journal of Public Health.97, (10), 1790-1793.2007.
    • ID: 10.2105/AJPH.2006.091108 (DOI)
  • Substance Abuse and Mental Health Services Administration. National Survey on Drug Use and Health: Summary of Methodological Studies,1971-2005. Methodology Series M-6.SMA 06-4146, Rockville, MD: Office of Applied Studies. 2006.
    • ID: http://www.oas.samhsa.gov/methodsHY/NSmethods.pdf (URL)
  • Golub, Andrew, Johnson, Bruce D., Dunlap, Eloise. The growth in marijuana use among American youths during the 1990s and the extent of blunt smoking. Journal of Ethnicity in Substance Abuse.4, (3-4), 1-21.2005.
    • ID: 10.1300/J233v04n03_01 (DOI)
  • Office of National Drug Control Policy. The National Drug Control Strategy: Data Supplement. NCJ 213692, Washington, DC: Executive Office of the President of the United States. 2005.
    • ID: http://www.whitehousedrugpolicy.gov/publications/policy/ndcs06_data_supl/ (URL)
  • Braunschweig, Heidi Michelle. The aging of the 'baby boom' generation: The potential for increased alcohol use and the need for concern. Dissertation, Case Western Reserve University. 2004.
  • Golub, Andrew, Johnson, Bruce D.. Variation in youthful risks of progression from alcohol and tobacco to marijuana and to hard drugs across generations. American Journal of Public Health.91, (2), 225-232.2001.
    • ID: 10.2105/AJPH.91.2.225 (DOI)
  • Kandel, Denise B., Griesler, Pamela C., Lee, Gang, Davies, Mark, Schaffran, Christine. Parental influences on adolescent marijuana use and the baby boom generation: Findings from the 1979-1996 National Household Surveys on Drug Abuse. NHSDA Series.(SMA) 01-3531, Rockville, MD: United States Department of Health and Human Services, Substance Abuse and Mental Health Services Administration. 2001.
    • ID: http://archive.samhsa.gov/data/NHSDA/BabyBoom/TOC.htm (URL)
  • Golub, Andrew L., Johnson, Bruce D., Labouvie, Erich. On correcting biases in self-reports of age at first substance use with repeated cross-section analysis. Journal of Quantitative Criminology.16, (1), 45-68.2000.
    • ID: 10.1023/A:1007573411129 (DOI)
  • Johnson, R.A., Gerstein, Dean R.. Age, period, and cohort effects in marijuana and alcohol incidence: United States females and males, 1961-1990. Substance Use and Misuse.35, (6-8), 925-948.2000.
    • ID: 10.3109/10826080009148427 (DOI)
  • Males, Mike. 'Kids and Guns': How Politicians, Experts, and the Press Fabricate Fear of Youth. Monroe, MN: Common Courage Press. 2000.
  • Van Etten, Michelle L., Anthony, James C.. Comparative epidemiology of initial drug opportunities and transitions to first use: Marijuana, cocaine, hallucinogens and heroin. Drug and Alcohol Dependence.54, (2), 117-125.1999.
    • ID: 10.1016/S0376-8716(98)00151-3 (DOI)
  • Van Etten, Michelle L., Neumark, Yehuda D., Anthony, James C.. Male-female differences in the earliest stages of drug involvement. Addiction.94, (9), 1413-1419.1999.
  • Johnson, Robert A., Gerstein, Dean R., Rasinski, Kenneth A.. Adjusting survey estimates for response bias: An application to trends in alcohol and marijuana use. Public Opinion Quarterly.62, (3), 354-377.1998.
    • ID: 10.1086/297850 (DOI)
  • Van Etten, Michelle L., Neumark, Yehuda D., Anthony, James C.. Initial opportunity to use marijuana and the transition to first use: United States, 1979-1994. Drug and Alcohol Dependence.49, (1), 1-7.1997.
    • ID: 10.1016/S0376-8716(97)00127-0 (DOI)
  • Everingham, Susan M. Sohler, Rydell, C. Peter, Caulkins, Jonathan P.. Cocaine consumption in the United States: Estimating past trends and future scenarios. Socio-Economic Planning Sciences.29, (4), 305-314.1995.
    • ID: 10.1016/0038-0121(95)00018-6 (DOI)
  • Hawkins, J. David, Arthur, Michael W., Catalano, Richard F.. Preventing substance abuse. Building a Safer Society: Strategic Approaches to Crime Prevention. Crime and Justice: A Review of Research.Chicago, IL: University of Chicago Press. 1995.
  • Nelson, David E., Giovino, Gary A., Shopland, Donald R., Mowery, Paul D., Mills, Sherry L., Eriksen, Michael P.. Trends in cigarette smoking among US adolescents, 1974 through 1991. American Journal of Public Health.85, (1), 34-40.1995.
    • ID: 10.2105/AJPH.85.1.34 (DOI)
  • Robertson, Elizabeth B.. Trends in Drug Use: A Comparison of Metropolitan and Nonmetropolitan Areas of the United States from 1975 to 1991. Family Economics Review.7, (4), 2-10.1994.
  • Robbins, Cynthia A., Clayton, Richard R.. Gender-related differences in psychoactive drug use among older adults. Journal of Drug Issues.19, (2), 207 -1989.
  • Norton, Robyn, Colliver, James. Prevalence and patterns of combined alcohol and marijuana use. Journal of Studies on Alcohol.49, (4), 378-380.1988.
  • Kozel, Nicholas J., Adams, Edgar H.. Epidemiology of Drug Abuse: An Overview. Science.234, (4779), 970-974.1986.
    • ID: 10.1126/science.3490691 (DOI)
  • Crider, R.A.. Heroin incidence: A trend comparison between National Household Survey data and indicator data. NIDA Research Monograph.57, 125-140.1985.
    • ID: http://www.drugabuse.gov/pdf/monographs/57.pdf (URL)
  • House Committee on the Judiciary. Current Status of Drug Abuse Prevention and Treatment. Hearing before the Subcommittee on Crime of the Committee on the Judiciary. House of Representatives, Ninety-Eighth Congress, First Session (September 22, 1983). Washington, DC: Congress of the United States, House Committee on the Judiciary. 1985.
  • (author unknown). National Household Survey on Drug Abuse: Main Findings 1982. ADM 83-1263, Rockville, MD: United States Department of Health and Human Services, Substance Abuse and Mental Health Services Administration. 1983.

Update Metadata: 2015-11-23 | Issue Number: 1 | Registration Date: 2015-11-23

United States Department of Health and Human Services. National Institutes of Health. National Institute on Drug Abuse (1997): National Household Survey on Drug Abuse, 1982. Version 4. National Survey on Drug Use and Health (NSDUH) Series. Version: v4. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/ICPSR06845.v4