Literature DB >> 27416013

Neighborhood linking social capital as a predictor of drug abuse: A Swedish national cohort study.

Jan Sundquist1, Cecilia Sjöstedt2, Marilyn Winkleby3, Xinjun Li2, Kenneth S Kendler4, Kristina Sundquist3.   

Abstract

AIMS: This study examines the association between the incidence of drug abuse (DA) and linking (communal) social capital, a theoretical concept describing the amount of trust between individuals and societal institutions.
METHODS: We present results from an 8-year population-based cohort study that followed all residents in Sweden, aged 15-44, from 2003 through 2010, for a total of 1,700,896 men and 1,642,798 women. Linking social capital was conceptualized as the proportion of people in a geographically defined neighborhood who voted in local government elections. Multilevel logistic regression was used to estimate odds ratios (ORs) and between-neighborhood variance.
RESULTS: We found robust associations between linking social capital and DA in men and women. For men, the OR for DA in the crude model was 2.11 [95% confidence interval (CI) 2.02-2.21] for those living in neighborhoods with the lowest vs. highest level of social capital. After accounting for neighborhood level deprivation, the OR fell to 1.59 (1.51-1-68). The ORs remained significant after accounting for age, family income, marital status, country of birth, education level, and region of residence, and after further accounting for comorbidities and family history of comorbidities and family history of DA. For women, the OR decreased from 2.15 (2.03-2.27) in the crude model to 1.31 (1.22-1.40) in the final model, adjusted for multiple neighborhood-level, individual-level variables, and family history for DA.
CONCLUSIONS: Our study suggests that low linking social capital may have significant independent effects on DA.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Drug abuse; Linking social capital; Neighborhood; Socioeconomic factors

Mesh:

Year:  2016        PMID: 27416013      PMCID: PMC5064149          DOI: 10.1016/j.addbeh.2016.07.002

Source DB:  PubMed          Journal:  Addict Behav        ISSN: 0306-4603            Impact factor:   3.913


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