National Addiction and HIV Data Archive Program

This study is maintained and distributed by the National Addiction & HIV Data Archive Program (NAHDAP). NAHDAP is supported by the National Institute on Drug Abuse (NIDA), part of the National Institutes of Health (NIH).

The Community Vulnerability and Responses to Drug-User-Related HIV/AIDS, 1990-2013 [96 Metropolitan Statistical Areas, United States] (ICPSR 36575)

Alternate Title:   CVAR

Principal Investigator(s): Friedman, Samuel R., National Development & Research Institute, Inc.

Summary:

The Community Vulnerability and Responses to Drug-User-Related HIV/AIDS, 1990-2013 [96 Metropolitan Statistical Areas, United States] study (CVAR) was a research study of why large United States Metropolitan Statistical Areas (MSAs) vary over time in their vulnerability to HIV/AIDS among drug users and in MSA responses to HIV/AIDS. This collection contains estimates of HIV prevalence among people who injected drugs (PWID) and among sub-populations of PWID. This collection is comprised of ten datasets with differing amounts of variables and provides trend data that describe the following:

  • Epidemiologic outcomes including population prevalence of PWIDs and Non-injecting drug users (NIDUs), and particularly their prevalence among youth; and, among PWIDs, HIV prevalence, late-diagnosis HIV cases, and AIDS incidence and mortality.
  • Implementation of evidence-based drug-related interventions including drug abuse treatment, syringe exchange, HIV counseling and testing.
  • Implementation of non-evidence-based drug-related interventions including incarceration and arrests of drug users.

The collection contains data on the MSA sub-populations including Black, Hispanic, White and "other" race categories. In addition, some statistics are presented in age range categories such as ages 15-29, 30-64 and 15-64.

Access Notes

  • The public-use data files in this collection are available for access by the general public. Access does not require affiliation with an ICPSR member institution.

Dataset(s)

DS0:  Study-Level Files
DS1:  CVAR MSA: County Population and Intercensal Estimates, 1990-2013 - Download All Files (5.773 MB)
Documentation:
Download:
SAS    SPSS    Stata    R    ASCII    Excel/TSV
ASCII + SAS Setup    SPSS Setup    Stata Setup   
DS2:  CVAR MSA: Treatment Episode Data Set (TEDS), 1992-2004 - Download All Files (4.264 MB)
Documentation:
Download:
SAS    SPSS    Stata    R    ASCII    Excel/TSV
ASCII + SAS Setup    SPSS Setup    Stata Setup   
DS3:  CVAR MSA: Drug Treatment Coverage, 1993-2002 - Download All Files (2.415 MB)
Documentation:
Download:
SAS    SPSS    Stata    R    ASCII    Excel/TSV
ASCII + SAS Setup    SPSS Setup    Stata Setup   
DS4:  CVAR MSA: National Survey of Substance Abuse Treatment Services (N-SSATS), 2000; 2002-2008 - Download All Files (2.212 MB)
Documentation:
Download:
SAS    SPSS    Stata    R    ASCII    Excel/TSV
ASCII + SAS Setup    SPSS Setup    Stata Setup   
DS5:  CVAR MSA: People Who Inject Drugs (PWID) - Entering Drug Treatment, 1992-2007 - Download All Files (4.112 MB)
Documentation:
Download:
SAS    SPSS    Stata    R    ASCII    Excel/TSV
ASCII + SAS Setup    SPSS Setup    Stata Setup   
DS6:  CVAR MSA: People Who Inject Drugs (PWID), 1992-2007 - Download All Files (9.322 MB)
Documentation:
Download:
SAS    SPSS    Stata    R    ASCII    Excel/TSV
ASCII + SAS Setup    SPSS Setup    Stata Setup   
DS7:  CVAR MSA: Prevalence of Injection Drug Use among Adolescents and Young Adults, 1992-2002 - Download All Files (2.18 MB)
Documentation:
Download:
SAS    SPSS    Stata    R    ASCII    Excel/TSV
ASCII + SAS Setup    SPSS Setup    Stata Setup   
DS8:  CVAR MSA: Arrest Rates, 1991-2009 - Download All Files (3.03 MB)
Documentation:
Download:
SAS    SPSS    Stata    R    ASCII    Excel/TSV
ASCII + SAS Setup    SPSS Setup    Stata Setup   
DS9:  CVAR MSA: HIV Prevalence Rates Among PWID, 1992-2002 - Download All Files (2.356 MB)
Documentation:
Download:
SAS    SPSS    Stata    R    ASCII    Excel/TSV
ASCII + SAS Setup    SPSS Setup    Stata Setup   
DS10:  CVAR MSA: Poisoning and Drug-Related Deaths, 1992-2007 - Download All Files (2.503 MB)
Documentation:
Download:
SAS    SPSS    Stata    R    ASCII    Excel/TSV
ASCII + SAS Setup    SPSS Setup    Stata Setup   

Study Description

Citation

Friedman, Samuel R. The Community Vulnerability and Responses to Drug-User-Related HIV/AIDS, 1990-2013 [96 Metropolitan Statistical Areas, United States]. ICPSR36575-v1. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2017-08-08. https://doi.org/10.3886/ICPSR36575.v1

Persistent URL: https://doi.org/10.3886/ICPSR36575.v1

Export Citation:

  • RIS (generic format for RefWorks, EndNote, etc.)
  • EndNote XML (EndNote X4.0.1 or higher)

Funding

This study was funded by:

  • United States Department of Health and Human Services. National Institutes of Health. National Institute on Drug Abuse (5 R01 DA013336 15)

Scope of Study

Subject Terms:    AIDS, arrest rates, demographic characteristics, drug abuse, drug offenders, drug overdose, drug treatment, drug use, epidemiology, HIV, intravenous drug use, mortality rates, substance abuse, substance abuse treatment

Smallest Geographic Unit:    Metropolitan Statistical Area

Geographic Coverage:    Akron, Alabama, Albany (New York), Albuquerque, Allentown, Anderson, Ann Arbor, Arizona, Arkansas, Arlington, Atlanta, Austin, Bakersfield, Baltimore, Bellevue, Bergen (New Jersey), Bethlehem, Birmingham, Boca Raton (Florida), Boston, Bradenton, Buffalo, California, Carlisle (Pennsylvania), Chapel Hill (North Carolina), Charleston (South Carolina), Charlotte, Chicago, Cincinnati, Clearwater, Cleveland, Columbus (Ohio), Dallas, Dayton, Delaware, Denver, Detroit, District of Columbia, Durham, Easton, El Paso, Elyria, Everett, Fall River, Florida, Fort Lauderdale, Fort Worth, Fresno, Gary, Gastonia, Georgia, Grand Rapids, Greensboro, Greenville, Harrisburg, Hartford, Hawaii, Hazleton, High Point, Holland (Michigan), Honolulu, Houston, Hunterdon (New Jersey), Illinois, Indiana, Indianapolis, Iowa, Jacksonville, Jersey City, Kansas, Kansas City (Missouri), Kentucky, Knoxville, Las Vegas, Lebanon, Little Rock, Lodi (California), Long Beach, Lorain, Los Angeles, Louisiana, Louisville, Maryland, Massachusetts, Memphis, Meriden, Mesa (Arizona), Miami, Michigan, Middlesex (New Jersey), Milwaukee, Minneapolis, Minnesota, Mississippi, Missouri, Monmouth (New Jersey), Muskegon, Nashville, Nassau (New York), Nebraska, Nevada, New Hampshire, New Haven, New Jersey, New Mexico, New Orleans, New York (state), New York City, Newark, Newport News, Niagara Falls (New York), Norfolk, North Carolina, North Little Rock (Arkansas), Oakland, Ocean (New Jersey), Ogden, Ohio, Oklahoma, Oklahoma City, Omaha, Orange County (California), Oregon, Orlando, Passaic, Pennsylvania, Petersburg, Philadelphia, Phoenix, Pittsburgh, Portland (Oregon), Providence, Raleigh, Rhode Island, Richmond, Riverside, Rochester (New York), Rock Hill, Sacramento, Salt Lake City, San Antonio, San Bernardino, San Diego, San Francisco, San Jose, San Marcos (Texas), Sarasota, Schenectady, Scranton, Seattle, Somerset (New Jersey), South Carolina, Spartanburg (South Carolina), Springfield (Massachusetts), Springfield (Ohio), St. Louis, St. Paul, St. Petersburg, Stockton, Suffolk County (New York), Syracuse, Tacoma, Tampa, Texas, Toledo, Troy, Tucson, Tulsa, United States, Utah, Vancouver (Washington), Ventura (California), Virginia, Virginia Beach, Warren, Warwick, Washington, Waukesha (Wisconsin), West Palm Beach, West Virginia, Wichita, Wilkes-Barre, Wilmington (Delaware), Winston-Salem, Youngstown

Time Period:   

  • 1990--2013

Unit of Observation:    Metropolitan Statistical Area

Universe:    Metropolitan Statistical Areas in the United States

Data Type(s):    administrative records data, aggregate data, census/enumeration data

Data Collection Notes:

The MSA variable is present in all 10 datasets and represents the Metropolitan Statistical Area Federal Information Processing Standards (Fips) code. This variable can be used to link data between datasets. However, be advised that MSA is not a unique identifier within all datasets. Therefore, users should take care to transform the necessary variables before merging datasets.

Some of the data used to contruct the datasets for this study are available through NAHDAP. See the following links for more information on the N-SSATS and TEDS studies:

Methodology

Study Purpose:   

This study was conducted to help understand the forces that shape metropolitan area HIV/AIDS epidemics and prevention programs and provide data to inform future policy making decision regarding HIV/AIDS. The study data are intended to provide information on several relationships including:

  • How epidemiologic need and macro-social contexts such as economic changes, social integration, and residential segregation by race affect interventions.
  • How interventions and macro-social contexts together affect epidemiologic contexts.
  • How some interventions (e.g., arrests, incarceration) affect others (e.g., syringe exchange coverage).
  • How some epidemiologic outcomes (e.g., prevalence of young IDUs) affect others (e.g., HIV prevalence).

Study Design:   

Longitudinal trend data on 96 Metropolitan Statistical Areas in the United States were compiled from secondary sources to provide information on epidemiologic factors, evidence based interventions, and non-evidence based intervention that contribute to changes in community vulnerability to drug-user-related HIV/AIDS. The principal investigators used these data to create novel variables.

Some of the secondary data sources used include:

For more information please see the following articles and the data documentation.

Tempalski, B., Pouget, E.R., Cleland, C.M., Brady, J.E., Cooper, H.L.F., Hall, H.I., Lansky, A., West, B.S., Friedman, S.R. Trends in the population prevalence of people who inject drugs in US Metropolitan Areas 1992-2007. PLoS ONE 2013. Vol. 8. No. 6. e64789.

Chatterjee, S., Tempalski, B., Pouget, E.R., Cooper, H.L.F., Cleland, C.M., Friedman, S.R. Changes in the Prevalence of Injection Drug Use Among Adolescents and Young Adults in Large U.S. Metropolitan Areas. AIDS and Behavior July 2011. Vol. 15, No.7, pp.1570-1578. DOI: 10.1007/s10461-011-9992-0

Sample:   

For information on the Metropolitan Statistical Area sampling, see the following article.

Tempalski, B., Lieb, S., Cleland, C.M., Cooper, H., Brady, J.E., Friedman, S.R. HIV prevalence rates among injection drug users in 96 large US metropolitan areas, (1992-2002). Journal of Urban Health 2009. Vol. 86, pp. 132-54.

Time Method:    Longitudinal

Weight:    None

Description of Variables:   

See the variable description by dataset below:

  • DS1: Contains demographic variables including total and percentage of the population by race and age categories over the period from 1990-2013.
  • DS2: Contains the annual number of treatment episodes where admission documentation indicate that any substance was injected intravenously or intramuscularly from 1992-2004. These data include admissions by client attribute. Further detail is provided on types of admissions.
  • DS3: Contains the number and rates at of people who injected drugs (PWID) each year between 1993-2002.
  • DS4: Contains treatment coverage rates from 2000-2008 for alcohol and substance abuse.
  • DS5: Contains the number of injecting drug users (IDUs) and non-injecting drug users (NIDUs) by race over the period from 1992-2007.
  • DS6: Contains number of people with injecting drug use (PWID) by sub-population annually between 1992-2007.
  • DS7: Contains the injecting drug user rate among young people between 15-29 years old over the period between 1992-2002.
  • DS8: Contains data on drug related arrest rates, Uniform Crime Reporting (UCR) counts, and the number of murders by year between 1991-2009.
  • DS9: Contains estimate of HIV prevalence rates among people who inject drugs each year from 1992-2002.
  • DS10: Contains poisoning and drug mortality rates by year between 1993-2007.

Response Rates:    Not Applicable

Presence of Common Scales:    None

Extent of Processing:   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:

  • Standardized missing values.
  • Checked for undocumented or out-of-range codes.

Version(s)

Original ICPSR Release:   2017-08-08

Variables

Utilities

Metadata Exports

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