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National Household Survey on Drug Abuse, 1988

Version
v0
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
  • Archival Version (Subtitle)
Collective Title
  • National Survey on Drug Use and Health (NSDUH) Series
Publication Date
1991-05-03
Funding Reference
  • United States Department of Health and Human Services. National Institutes of Health. National Institute on Drug Abuse
Language
English
Free Keywords
alcohol abuse; alcohol consumption; amphetamines; barbiturates; cocaine; drug abuse; drug use; drugs; hallucinogens; heroin; households; inhalants; marijuana; methamphetamine; prescription 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, anabolic steroids, and tobacco 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: marijuana, inhalants, cocaine, hallucinogens, heroin, alcohol, tobacco, and nonmedical use of psychotherapeutics. Respondents were also asked about problems resulting from their use of drugs, alcohol, and tobacco, their perceptions of the risks involved, insurance coverage, and personal and family income sources and amounts. Demographic data include gender, race, ethnicity, educational level, job status, income level, household composition, and population density.
  • Methods

    At the conclusion of data collection for the study, sample weights were constructed that reflect the various stages of sampling described in the codebook. These sample weights were then adjusted to account for sample households and persons who could not be found at home or who refused to participate. Finally, a poststratification adjustment was performed on the weights using November 1, 1988, Census population estimates. This adjusted weight (ANALWT) is the analysis weight for use in estimation. The calculation of sampling weights was based on the stratified, three-stage design of the study. Specifically, the household sampling weight is the product of the three stagewise sampling weights, each of which is equal to the inverse of the selection probability for that stage.
  • 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.; Standardized missing values.; Created online analysis version with question text.; Checked for undocumented or out-of-range codes..
  • Methods

    Response Rates: The completed interviews represented a 93.3 percent completion rate for screening sample households and 74.3 percent for interviewing sample individuals.
  • Table of Contents

    Datasets:

    • DS1: National Household Survey on Drug Abuse (NHSDA), 1988
Temporal Coverage
  • Time period: 1988
  • 1988-09 / 1989-02
    Collection date: 1988-09--1989-02
Geographic Coverage
  • United States
Sampled Universe
The population of the coterminous United States, aged 12 and older, living in households.
Sampling
Multistage area sample design with an oversampling of young people and minorities.
Collection Mode
  • Data were collected by Research Triangle Institute, Research Triangle Park, NC, and prepared for release by National Opinion Research Center, Chicago, IL.

    For selected variables, statistical imputation was performed following logical imputation to replace missing responses. Unique code values (7, 8, or 9) were assigned to the recency-of-use variable when such logical imputation occurred. These code values are readily identifiable by the phrase "... LOGICALLY IMPUTED" in the code value descriptions. For those recency-of-use variables with missing data for which no indication of use of the drug could be found by examination of all relevant variables in the record, a code value of 91 ("Never Used") was assigned if there were one or more indications of such nonuse in the set of relevant variables.

    Data were weighted based on the three stages of sampling that were used. The person-level sampling weight is the product of the three-stage sampling weights, each of which is equal to the inverse of the selection probability for that stage. Adjustments were made to compensate for nonresponse and sampling error. Adjustments also included trimming sample weights to reduce excessive weight variation and a post-stratification to Census population estimates.

    To protect the anonymity of respondents, all variables that could be used to identify individuals have been deleted from the public use file.

    For some drugs that have multiple names, questions regarding the use of that drug may be asked for each distinct name. For example, even though methamphetamine, methedrine and desoxyn are the same drug, their use was measured in three separate variables.

Note
2013-06-19 Updated variable-level ddi files released.2008-07-23 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. The variable CASEID was also added to the dataset.1999-04-26 SAS and SPSS data definition statements have been updated to include value labels and missing values sections.1997-12-12 A machine-readable codebook in Portable Document Format (PDF) is now available. Funding insitution(s): United States Department of Health and Human Services. National Institutes of Health. National Institute on Drug Abuse (271-89-8333).
Availability
Delivery
This version of the study is no longer available on the web. If you need to acquire this version of the data, you have to contact ICPSR User Support (help@icpsr.umich.edu).
Alternative Identifiers
  • 9522 (Type: ICPSR Study Number)
Relations
  • Is previous version of
    DOI: 10.3886/ICPSR09522.v1
Publications
  • Prue, Bob. Prevalence of reported peyote use 1985-2010 effects of the American Indian Religious Freedom Act of 1994. American Journal on Addictions.23, (2), 156-161.2014.
    • ID: 10.1111/j.1521-0391.2013.12083.x (DOI)
  • Keyes, Katherine M., Miech, Richard. Age, period, and cohort effects in heavy episodic drinking in the US from 1985 to 2009. Drug and Alcohol Dependence.132, (1-2), 140-148.2013.
    • ID: 10.1016/j.drugalcdep.2013.01.019 (DOI)
  • Miech, Richard A., London, Andrew S., Wilmoth, Janet M., Koester, Stephen. The effects of the military's antidrug policies over the life course: The case of past-year hallucinogen use. Substance Use and Misuse.48, (10), 837-853.2013.
    • ID: 10.3109/10826084.2013.800120 (DOI)
  • Miech, Richard, Bohnert, Amy, Heard, Kennon, Boardman, Jason. Increasing use of nonmedical analgesics among younger cohorts in the United States: A birth cohort effect. Journal of Adolescent Health.52, (1), 35-41.2013.
    • ID: 10.1016/j.jadohealth.2012.07.016 (DOI)
  • Miech, Richard, Koester, Stephen. Trends in U.S., past-year marijuana use from 1985 to 2009: An age-period-cohort analysis. Drug and Alcohol Dependence.124, (3), 259-267.2012.
    • ID: 10.1016/j.drugalcdep.2012.01.020 (DOI)
  • 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)
  • Sloboda, Zili. Chapter 12: Forging a relationship between drug abuse epidemiology and drug abuse prevention. Handbook of Drug Abuse Prevention: Theory, Science, and Practice.New York: Springer. 2006.
    • ID: 10.1007/0-387-35408-5_12 (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.
  • Markovitz, Carrie Elizabeth. Assessing fit of latent class models to complex survey data: Implications for drug use research. Dissertation, University of Maryland College Park. 2003.
  • Petronis, K.R., Anthony, J.C.. A different kind of contextual effect: Geographical clustering of cocaine incidence in the USA. Journal of Epidemiology and Community Health.57, (11), 893-900.2003.
    • ID: 10.1136/jech.57.11.893 (DOI)
  • Petronis, Kenneth Robert. Clusters of cocaine use in United States neighborhoods. Dissertation, Johns Hopkins University. 2002.
  • 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.
  • Petronis, Kenneth R., Anthony, James C.. Perceived risk of cocaine use and experience with cocaine: Do they cluster within US neighborhoods and cities?. Drug and Alcohol Dependence.57, (3), 183-192.2000.
    • ID: 10.1016/S0376-8716(99)00047-2 (DOI)
  • Caetano, Raul. The identification of alcohol dependence criteria in the general population. Addiction.94, (2), 255-267.1999.
    • ID: 10.1046/j.1360-0443.1999.9422559.x (DOI)
  • Saffer, Henry, Chaloupka, Frank. The demand for illicit drugs. Economic Inquiry.37, (3), 401-411.1999.
    • ID: 10.1111/j.1465-7295.1999.tb01439.x (DOI)
  • 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)
  • McAuliffe, William E., Geller, Stephanie, LaBrie, Richard, Paletz, Susannah, Fournier, Elizabeth. Are telephone surveys suitable for studying substance abuse? Cost, administration, coverage and response rate issues. Journal of Drug Issues.28, (2), 455-482.1998.
  • Saffer, Henry, Chaloupka, Frank. Demographic Differentials in the Demand for Alcohol and Illicit Drugs. NBER Working Paper Series.6432, Cambridge, MA: National Bureau of Economic Research. 1998.
    • ID: http://papers.nber.org/papers/W6432.pdf (URL)
  • Kaestner, Robert. The effects of cocaine and marijuana use on marriage and marital status. Journal of Family Issues.18, (2), 145 -1997.
    • ID: 10.1177/019251397018002003 (DOI)
  • Lopez, Javier. Patterns of Alcohol and Illicit Substance Use in the United States and Mexico: Substantive and Methodologic Issues in the Cross-National Analysis of Alcohol and Drug Use Data. Dissertation, University of Texas at Houston. 1997.
  • 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)
  • Chilcoat, Howard D., Schutz, Christian G.. Age-specific patterns of hallucinogen use in the US population: An analysis using generalized additive models. Drug and Alcohol Dependence.43, (3), 143-153.1996.
    • ID: 10.1016/S0376-8716(96)01297-5 (DOI)
  • Lennox, Richard D., Zarkin, Gary A., Bray, Jeremy W.. Latent variable models of alcohol-related constructs. Journal of Substance Abuse.8, (2), 241-250.1996.
    • ID: 10.1016/S0899-3289(96)90282-5 (DOI)
  • Pollay, Richard W., Siddarth, S., Siegel, Michael, Haddix, Anne, Merritt, R.K., Giovino, G.A., Eriksen, M.P.. The last straw? Cigarette advertising and realized market shares among youths and adults, 1979-1993. Journal of Marketing.60, (2), 1 -1996.
    • ID: http://www.jstor.org/stable/1251927 (URL)
  • Roman, Paul M., Johnson, J. Aaron. Alcohol's role in work-force entry and retirement. Alcohol Health and Research World.20, (3), 162-169.1996.
  • 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)
  • Parker, Keith D.. Prevalence of cocaine use: A multi-ethnic comparison. Western Journal of Black Studies.19, (1), 30-36.1995.
  • Parker, Keith D., Weaver, Greg, Calhoun, Thomas. Predictors of alcohol and drug use: A multi-ethnic comparison. Journal of Social Psychology.135, (5), 581-590.1995.
    • ID: 10.1080/00224545.1995.9712231 (DOI)
  • Harrison, Lana D., Kennedy, Nancy J.. Drug use in the United States-Mexico border area: Is there an epidemic waiting to happen?. Hispanic Journal of Behavioral Sciences.16, (3), 281-295.1994.
    • ID: 10.1177/07399863940163006 (DOI)
  • Kaestner, Robert. New estimates of the effect of marijuana and cocaine use on wages. Industrial and Labor Relations Review.47, (3), 454-470.1994.
    • ID: http://www.jstor.org/stable/2524977 (URL)
  • 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.
  • Gfroerer, Joseph, Rosa, Mario de la. Protective and risk factors associated with drug use among Hispanic youth. Journal of Addictive Diseases.12, (2), 87-107.1993.
    • ID: 10.1300/J069v12n02_07 (DOI)
  • Lillie-Blanton, M., Anthony, James C., Schuster, C.R.. Probing the meaning of racial/ethnic group comparisons in crack cocaine smoking. JAMA, The Journal of the American Medical Association.269, (8), 993-997.1993.
    • ID: 10.1001/jama.269.8.993 (DOI)
  • Rhodes, William, Scheiman, Paul, Carlson, Kenneth. What America's Users Spend on Illegal Drugs, 1988-1991. Washington, DC: United States Office of National Drug Control Policy. 1993.
  • Flewelling, Robert L., Rachal, J. Valley, Marsden, Mary Ellen. Socioeconomic and demographic correlates of drug and alcohol use: Findings from the 1988 and 1990 National Household Surveys on Drug Abuse. DHHS Publication.(ADM) 92-1906, Rockville, MD: United States Department of Health and Human Services, National Institute on Drug Abuse. 1992.
  • Hughes, Patrick H., Brandenburg, Nancy, Baldwin, DeWitt C., Jr, Storr, Carla L., Williams, Kristine M., Anthony, James C., Sheehan, David V.. Prevalence of substance use among US physicians. JAMA, The Journal of the American Medical Association.267, (17), 2333-2339.1992.
    • ID: 10.1001/jama.267.17.2333 (DOI)
  • (author unknown). Drug Use Among Youth: Findings from the 1988 National Household Survey on Drug Abuse. ADM 91-1765, Rockville, MD: United States Department of Health and Human Services, Substance Abuse and Mental Health Services Administration. 1991.
  • Fors, Stuart W., Rojek, Dean G.. A comparison of drug involvement between runaways and school youths. Journal of Drug Education.21, (1), 13-25.1991.
    • ID: 10.2190/LJWU-FXTM-TEXG-WK4G (DOI)
  • (author unknown). National Household Survey on Drug Abuse: Highlights 1988. (ADM) 90-1681, Rockville, MD: United States Department of Health and Human Services, National Institute on Drug Abuse. 1990.
  • (author unknown). National Household Survey on Drug Abuse: Main Findings 1988. National Household Survey on Drug Abuse Series.(ADM) 90-1682, Rockville, MD: United States Department of Health and Human Services, National Institute on Drug Abuse. 1990.
  • Kopstein, Andrea, Gfroerer, Joseph C.. Drug use patterns and demographics of employed drug users: Data from the 1988 National Household Survey on Drug Abuse. NIDA Research Monograph.100, 11-24.1990.
    • ID: http://www.drugabuse.gov/pdf/monographs/100.pdf (URL)
  • Sidney, Stephen. Evidence of discrepant data regarding trends in marijuana use and supply, 1985-1988. Journal of Psychoactive Drugs.22, (3), 319-324.1990.
    • ID: 10.1080/02791072.1990.10472555 (DOI)
  • (author unknown). National Household Survey on Drug Abuse: 1988 Population Estimates. National Household Survey on Drug Abuse Series.(ADM) 89-1636, Rockville, MD: United States Department of Health and Human Services, National Institute on Drug Abuse. 1989.
  • Adams, Edgar H., et al. Overview of Selected Drug Trends. Rockville, MD: United States Department of Health and Human Services, National Institute on Drug Abuse. 1989.

Update Metadata: 2015-08-05 | Issue Number: 12 | Registration Date: 2015-06-15

United States Department of Health and Human Services. National Institutes of Health. National Institute on Drug Abuse (1991): National Household Survey on Drug Abuse, 1988. Archival Version. National Survey on Drug Use and Health (NSDUH) Series. Version: v0. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/ICPSR09522