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The causal nature of the association between neighborhood deprivation and drug abuse: a prospective national Swedish co-relative control study

Published online by Cambridge University Press:  27 March 2014

K. S. Kendler ,
H. Ohlsson ,
K. Sundquist  and
J. Sundquist
K. S. Kendler*
Affiliation:
Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA Department of Psychiatry, Virginia Commonwealth University, Richmond VA, USA Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, USA
H. Ohlsson
Affiliation:
Center for Primary Health Care Research, Lund University, Malmö, Sweden
K. Sundquist
Affiliation:
Center for Primary Health Care Research, Lund University, Malmö, Sweden Stanford Prevention Research Center, Stanford University School of Medicine, Stanford, CA, USA
J. Sundquist
Affiliation:
Center for Primary Health Care Research, Lund University, Malmö, Sweden Stanford Prevention Research Center, Stanford University School of Medicine, Stanford, CA, USA
*
*Address for correspondence: K. S. Kendler, M.D., Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Box 980126, Richmond, VA 23298-0126, USA. (Email: kendler@vcu.edu)
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Abstract

Background

Risk for drug abuse (DA) is strongly associated with neighborhood social deprivation (SD). However, the causal nature of this relationship is unclear.

Method

Three Swedish population-based cohorts were followed up over 5 years for incident registration of DA in medical, legal or pharmacy records. In each cohort, we examined the SD–DA association, controlling carefully for individual socio-economic status (SES) with multiple measures, in the entire sample and among pairs of first cousins, paternal and maternal half-siblings, full siblings and monozygotic (MZ) twins discordant for SD exposure. The number of informative relative pairs ranged from 6366 to 166 208.

Results

In all cohorts, SD was prospectively related to risk for incident DA. In relative pairs discordant for SD exposure, the SD–DA association was similar to that seen in the entire population in cousins, half-siblings, full siblings and MZ twins. Eliminating subjects who were residentially unstable or had DA in the first two follow-up years did not alter this pattern. When divided by age, in the youngest groups, the SD–DA association was weaker in siblings than in the entire population.

Conclusions

Across three cohorts, controlling for individual SES and confounding familial factors, SD prospectively predicted risk for incident DA registration. These results support the hypothesis that the SD–DA association is in part causal and unlikely to result entirely from personal attributes, which both increase risk for DA and cause selection into high SD environments. At least part of the SD–DA association arises because exposure to SD causes an increased risk of DA.

Keywords

Causal inferenceco-relative designdrug abusesocial deprivationsocio-economic status
Type
Original Articles
Information
Psychological Medicine , Volume 44 , Issue 12 , September 2014 , pp. 2537 - 2546
Copyright
Copyright © Cambridge University Press 2014 

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References

Bierut, LJ, Dinwiddie, SH, Begleiter, H, Crowe, RR, Hesselbrock, V, Nurnberger, JI Jr., Porjesz, B, Schuckit, MA, Reich, T (1998). Familial transmission of substance dependence: alcohol, marijuana, cocaine, and habitual smoking: a report from the Collaborative Study on the Genetics of Alcoholism. Archives of General Psychiatry 55, 982–988.Google Scholar
Cadoret, RJ, Troughton, E, O'Gorman, TW, Heywood, E (1986). An adoption study of genetic and environmental factors in drug abuse. Archives of General Psychiatry 43, 1131–1136.Google Scholar
Cadoret, RJ, Yates, WR, Troughton, E, Woodworth, G, Stewart, MA (1996). An adoption study of drug abuse/dependency in females. Comprehensive Psychiatry 37, 88–94.Google Scholar
Chaikiat, A, Li, X, Bennet, L, Sundquist, K (2012). Neighborhood deprivation and inequities in coronary heart disease among patients with diabetes mellitus: a multilevel study of 334,000 patients. Health and Place 18, 877–882.CrossRefGoogle Scholar
Compton, WM, Thomas, YF, Stinson, FS, Grant, BF (2007). Prevalence, correlates, disability, and comorbidity of DSM-IV drug abuse and dependence in the United States: results from the National Epidemiologic Survey on Alcohol and Related Conditions. Archives of General Psychiatry 64, 566–576.Google Scholar
Crum, RM, Lillie-Blanton, M, Anthony, JC (1996). Neighborhood environment and opportunity to use cocaine and other drugs in late childhood and early adolescence. Drug and Alcohol Dependence 43, 155–161.Google Scholar
Dohrenwend, BP, Levav, I, Shrout, PE, Schwartz, S, Naveh, G, Link, BG, Skodol, AE, Stueve, A (1992). Socioeconomic status and psychiatric disorders: the causation-selection issue. Science 255, 946–952.Google Scholar
Faris, RE, Dunham, HW (1939). Mental Disorders in Urban Areas: An Ecological Study of Schizophrenia and Other Psychoses. University of Chicago Press: Chicago, IL.Google Scholar
Frisell, T, Oberg, S, Kuja-Halkola, R, Sjolander, A (2012). Sibling comparison designs: bias from non-shared confounders and measurement error. Epidemiology 23, 713–720.Google Scholar
Goldberg, EM, Morrison, SL (1963). Schizophrenia and social class. British Journal of Psychiatry 109, 785–802.CrossRefGoogle ScholarPubMed
Greenland, S, Schwartzbaum, JA, Finkle, WD (2000). Problems due to small samples and sparse data in conditional logistic regression analysis. American Journal of Epidemiology 151, 531–539.Google Scholar
Hu, FB, Goldberg, J, Hedeker, D, Flay, BR, Pentz, MA (1998). Comparison of population-averaged and subject-specific approaches for analyzing repeated binary outcomes. American Journal of Epidemiology 147, 694–703.Google Scholar
Huie, SAB (2001). The concept of neighborhood in health and mortality research. Social Spectrum 21, 341–358.Google Scholar
Karriker-Jaffe, KJ (2011). Areas of disadvantage: a systematic review of effects of area-level socioeconomic status on substance use outcomes. Drug and Alcohol Review 30, 84–95.Google Scholar
Kawakami, N, Winkleby, M, Skog, L, Szulkin, R, Sundquist, K (2011). Differences in neighborhood accessibility to health-related resources: a nationwide comparison between deprived and affluent neighborhoods in Sweden. Health and Place 17, 132–139.Google Scholar
Kendler, KS, Karkowski, LM, Neale, MC, Prescott, CA (2000). Illicit psychoactive substance use, heavy use, abuse, and dependence in a US population-based sample of male twins. Archives of General Psychiatry 57, 261–269.CrossRefGoogle Scholar
Kendler, KS, Neale, MC, MacLean, CJ, Heath, AC, Eaves, LJ, Kessler, RC (1993). Smoking and major depression. A causal analysis. Archives of General Psychiatry 50, 36–43.Google Scholar
Kendler, KS, Ohlsson, H, Sundquist, K, Sundquist, J (2013). Environmental influences on familial resemblance for drug abuse in first-cousin pairs: a Swedish national study. Psychological Medicine. Published online: 23 April 2013 . doi: 10.1017/S0033291713000846.Google Scholar
Kendler, KS, Prescott, CA (1998). Cannabis use, abuse, and dependence in a population-based sample of female twins. American Journal of Psychiatry 155, 1016–1022.Google Scholar
Kendler, KS, Sundquist, K, Ohlsson, H, Palmer, K, Maes, H, Winkleby, MA, Sundquist, J (2012). Genetic and familial-environmental influences on risk for drug abuse: a national Swedish adoption study. Archives of General Psychiatry 69, 690–697.Google Scholar
Lynskey, MT, Heath, AC, Nelson, EC, Bucholz, KK, Madden, PA, Slutske, WS, Statham, DJ, Martin, NG (2002). Genetic and environmental contributions to cannabis dependence in a national young adult twin sample. Psychological Medicine 32, 195–207.CrossRefGoogle Scholar
Merikangas, KR, Stolar, M, Stevens, DE, Goulet, J, Preisig, MA, Fenton, B, Zhang, H, O'Malley, SS, Rounsaville, BJ (1998). Familial transmission of substance use disorders. Archives of General Psychiatry 55, 973–979.Google Scholar
Muntaner, C, Eaton, WW, Diala, C, Kessler, RC, Sorlie, PD (1998). Social class, assets, organizational control and the prevalence of common groups of psychiatric disorders. Social Science and Medicine 47, 2043–2053.Google Scholar
Rounsaville, BJ, Kosten, TR, Weissman, MM, Prusoff, B, Pauls, D, Anton, SF, Merikangas, K (1991). Psychiatric disorders in relatives of probands with opiate addiction. Archives of General Psychiatry 48, 33–42.Google Scholar
Rutter, M (2007 a). Identifying the environmental causes of disease: how should we decide what to believe and when to take action? (http://acmedsci.ac.uk/policy/policy/identifying-the-environmental-causes-of-disease/). Academy of Medical Sciences: London.Google Scholar
Rutter, M (2007 b). Proceeding from observed correlation to causal inference: the use of natural experiments. Perspectives on Psychological Science 2, 377–395.Google Scholar
Sareen, J, Afifi, TO, McMillan, KA, Asmundson, GJ (2011). Relationship between household income and mental disorders: findings from a population-based longitudinal study. Archives of General Psychiatry 68, 419–427.Google Scholar
SAS Institute (2008). SAS OnlineDoc Version 9.2. SAS Institute Inc.: Cary, NC.Google Scholar
Silverton, L, Mednick, S (1984). Class drift and schizophrenia. Acta Psychiatrica Scandinavica 70, 304–309.Google Scholar
Tsuang, MT, Lyons, MJ, Eisen, SA, Goldberg, J, True, W, Lin, N, Meyer, JM, Toomey, R, Faraone, SV, Eaves, L (1996). Genetic influences on DSM-III-R drug abuse and dependence: a study of 3,372 twin pairs. American Journal of Medical Genetics 67, 473–477.Google Scholar
Turkheimer, E (2001). Three laws of behavior genetics and what they mean. Current Directions in Psychological Science 9, 160–164.Google Scholar
Turner, RJ, Wagenfeld, MO (1967). Occupational mobility and schizophrenia: an assessment of the social causation and social selection hypotheses. American Sociological Review 32, 104–113.Google Scholar
van den Bree, MB, Johnson, EO, Neale, MC, Pickens, RW (1998). Genetic and environmental influences on drug use and abuse/dependence in male and female twins. Drug and Alcohol Dependence 52, 231–241.Google Scholar
Warner, LA, Kessler, RC, Hughes, M, Anthony, JC, Nelson, CB (1995). Prevalence and correlates of drug use and dependence in the United States. Results from the National Comorbidity Survey. Archives of General Psychiatry 52, 219–229.Google Scholar
Williams, CT, Latkin, CA (2007). Neighborhood socioeconomic status, personal network attributes, and use of heroin and cocaine. American Journal of Preventive Medicine 32, S203–S210.Google Scholar
Winkleby, M, Sundquist, K, Cubbin, C (2007). Inequities in CHD incidence and case fatality by neighborhood deprivation. American Journal of Preventive Medicine 32, 97–106.Google Scholar
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