Skip to main content
Journal of Epidemiology and Community Health logoLink to Journal of Epidemiology and Community Health
. 2003 Nov;57(11):893–900. doi: 10.1136/jech.57.11.893

A different kind of contextual effect: geographical clustering of cocaine incidence in the USA

K Petronis 1, J Anthony 1
PMCID: PMC1732325  PMID: 14600117

Abstract

Study objective: Outline the use of the pairwise odds ratio (PWOR) to quantify the extent to which a binary outcome clusters geographically. Quantify the extent to which first experience with cocaine is spatially correlated within US neighbourhoods and cities. Quantify geographical clustering of first experience with cocaine by neighbourhood context.

Design: Estimate the PWOR of incident cocaine experience at two levels (neighbourhood, city) and compare across years. Within years, estimate the PWOR by neighbourhood disadvantage and test for trend.

Setting: US National Household Survey on Drug Abuse.

Participants: Civilian, non-institutionalised household residents of the United States age 12 years and older interviewed in person during 1979, 1988, 1990, 1991, 1992, 1993.

Main results: First experience with cocaine clusters within US neighbourhoods and cities. There is some evidence that the spatial correlation of first experience with cocaine increases with percentage of neighbourhood households living in poverty.

Conclusions: The gradient in spatial correlation of incident cocaine experience by neighbourhood poverty level is consistent with current theories of concentrated disadvantage. The possibility that the direction of the poverty gradient might change over the course of a drug epidemic is discussed.

Full Text

The Full Text of this article is available as a PDF (427.5 KB).

Selected References

These references are in PubMed. This may not be the complete list of references from this article.

  1. Blakely T. A., Woodward A. J. Ecological effects in multi-level studies. J Epidemiol Community Health. 2000 May;54(5):367–374. doi: 10.1136/jech.54.5.367. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Diez-Roux A. V. Bringing context back into epidemiology: variables and fallacies in multilevel analysis. Am J Public Health. 1998 Feb;88(2):216–222. doi: 10.2105/ajph.88.2.216. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Diez-Roux A. V. Multilevel analysis in public health research. Annu Rev Public Health. 2000;21:171–192. doi: 10.1146/annurev.publhealth.21.1.171. [DOI] [PubMed] [Google Scholar]
  4. Diez-Roux A. V., Nieto F. J., Muntaner C., Tyroler H. A., Comstock G. W., Shahar E., Cooper L. S., Watson R. L., Szklo M. Neighborhood environments and coronary heart disease: a multilevel analysis. Am J Epidemiol. 1997 Jul 1;146(1):48–63. doi: 10.1093/oxfordjournals.aje.a009191. [DOI] [PubMed] [Google Scholar]
  5. Frohlich Katherine L., Potvin Louise, Chabot Patrick, Corin Ellen. A theoretical and empirical analysis of context: neighbourhoods, smoking and youth. Soc Sci Med. 2002 May;54(9):1401–1417. doi: 10.1016/s0277-9536(01)00122-8. [DOI] [PubMed] [Google Scholar]
  6. Gfroerer J., Brodsky M. The incidence of illicit drug use in the United States, 1962-1989. Br J Addict. 1992 Sep;87(9):1345–1351. doi: 10.1111/j.1360-0443.1992.tb02743.x. [DOI] [PubMed] [Google Scholar]
  7. Halloran M. E., Struchiner C. J. Study designs for dependent happenings. Epidemiology. 1991 Sep;2(5):331–338. doi: 10.1097/00001648-199109000-00004. [DOI] [PubMed] [Google Scholar]
  8. Hughes P. H., Crawford G. A. A contagious disease model for researching and intervening in heroin epidemics. Arch Gen Psychiatry. 1972 Aug;27(2):149–155. doi: 10.1001/archpsyc.1972.01750260005001. [DOI] [PubMed] [Google Scholar]
  9. Katz J., Carey V. J., Zeger S. L., Sommer A. Estimation of design effects and diarrhea clustering within households and villages. Am J Epidemiol. 1993 Dec 1;138(11):994–1006. doi: 10.1093/oxfordjournals.aje.a116820. [DOI] [PubMed] [Google Scholar]
  10. Liang K. Y., Zeger S. L. Regression analysis for correlated data. Annu Rev Public Health. 1993;14:43–68. doi: 10.1146/annurev.pu.14.050193.000355. [DOI] [PubMed] [Google Scholar]
  11. Link B. G., Phelan J. Social conditions as fundamental causes of disease. J Health Soc Behav. 1995;Spec No:80–94. [PubMed] [Google Scholar]
  12. Macintyre Sally, Ellaway Anne, Cummins Steven. Place effects on health: how can we conceptualise, operationalise and measure them? Soc Sci Med. 2002 Jul;55(1):125–139. doi: 10.1016/s0277-9536(01)00214-3. [DOI] [PubMed] [Google Scholar]
  13. Massey D. S. The age of extremes: concentrated affluence and poverty in the twenty-first century. Demography. 1996 Nov;33(4):395–416. [PubMed] [Google Scholar]
  14. Mayer S. E., Jencks C. Growing up in poor neighborhoods: how much does it matter? Science. 1989 Mar 17;243(4897):1441–1445. doi: 10.1126/science.243.4897.1441. [DOI] [PubMed] [Google Scholar]
  15. Petronis K. R., Anthony J. C. Perceived risk of cocaine use and experience with cocaine: do they cluster within US neighborhoods and cities? Drug Alcohol Depend. 2000 Jan 1;57(3):183–192. doi: 10.1016/s0376-8716(99)00047-2. [DOI] [PubMed] [Google Scholar]
  16. Sampson R. J., Raudenbush S. W., Earls F. Neighborhoods and violent crime: a multilevel study of collective efficacy. Science. 1997 Aug 15;277(5328):918–924. doi: 10.1126/science.277.5328.918. [DOI] [PubMed] [Google Scholar]
  17. Schwartz S., Susser E., Susser M. A future for epidemiology? Annu Rev Public Health. 1999;20:15–33. doi: 10.1146/annurev.publhealth.20.1.15. [DOI] [PubMed] [Google Scholar]
  18. Skrabanek P. The emptiness of the black box. Epidemiology. 1994 Sep;5(5):553–555. [PubMed] [Google Scholar]
  19. Susser M., Susser E. Choosing a future for epidemiology: II. From black box to Chinese boxes and eco-epidemiology. Am J Public Health. 1996 May;86(5):674–677. doi: 10.2105/ajph.86.5.674. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Susser M. The logic in ecological: I. The logic of analysis. Am J Public Health. 1994 May;84(5):825–829. doi: 10.2105/ajph.84.5.825. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Zeger S. L., Liang K. Y., Albert P. S. Models for longitudinal data: a generalized estimating equation approach. Biometrics. 1988 Dec;44(4):1049–1060. [PubMed] [Google Scholar]

Articles from Journal of Epidemiology and Community Health are provided here courtesy of BMJ Publishing Group

RESOURCES