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A social network perspective on heroin and cocaine use among adults: evidence of bidirectional influences
Authors:Amy S B Bohnert  Catherine P Bradshaw  & Carl A Latkin
Institution:VA Ann Arbor National Serious Mental Illness Treatment Research and Evaluation Center, Ann Arbor, MI, USA,;Johns Hopkins Bloomberg School of Public Health, Department of Health, Behavior and Society, Baltimore, MD, USA and;Johns Hopkins Bloomberg School of Public Health, Department of Mental Health, Baltimore, MD, USA
Abstract:Aims   While several studies have documented a relationship between initiation of drug use and social network drug use in youth, the direction of this association is not well understood, particularly among adults or for stages of drug involvement beyond initiation. The present study sought to examine two competing theories (social selection and social influence) in the longitudinal relationship between drug use (heroin and/or cocaine) and social network drug use among drug-experienced adults.
Design   Three waves of data came from a cohort of 1108 adults reporting a life-time history of heroin and/or cocaine use.
Setting   Low-income neighborhoods with high rates of drug use in Baltimore, Maryland.
Participants   Participants had weekly contact with drug users and were 18 years of age or older.
Measurements   Drug use data were self-report. Network drug use was assessed through a social network inventory. Close friends were individuals whom the participant reported seeing daily or rated as having the highest level of trust.
Findings   Structural equation modeling indicated significant bidirectional influences. The majority of change in network drug use over time was due to change in the composition of the network rather than change in friends' behavior. Drug use by close peers did not influence participant drug use beyond the total network.
Conclusions   There is evidence of both social selection and social influence processes in the association between drug use and network drug use among drug-experienced adults.
Keywords:Cocaine  heroin  peers  social influence  social networks  social selection  structural equation modeling
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