Bidirectional influence: A longitudinal analysis of size of drug network and depression among inner-city residents in Baltimore, Maryland

Jingyan Yang, Carl A Latkin, Melissa Davey-Rothwell, Mansi Agarwal

Research output: Contribution to journalArticle

Abstract

Background: The prevalence of depression among drug users is high. It has been recognized that drug use behaviors can be influenced and spread through social networks. Objectives: We investigated the directional relationship between social network factors and depressive symptoms among a sample of inner-city residents in Baltimore, MD. Methods: We performed a longitudinal study of four-wave data collected from a network-based HIV/STI prevention intervention for women and network members, consisting of both men and women. Our primary outcome and exposure were depression using CESD scale and social network characteristics, respectively. Linear-mixed model with clustering adjustment was used to account for both repeated measurement and network design. Results: Of the 746 participants, those who had high levels of depression tended to be female, less educated, homeless, smokers, and did not have a main partner. In the univariate longitudinal model, larger size of drug network was significantly associated with depression (OR = 1.38, p

Original languageEnglish (US)
Pages (from-to)1544-1551
Number of pages8
JournalSubstance Use and Misuse
Volume50
Issue number12
DOIs
StatePublished - Oct 15 2015

Fingerprint

Baltimore
Depression
resident
drug
social network
Social Support
Pharmaceutical Preparations
Social Adjustment
drug use
longitudinal study
Sexually Transmitted Diseases
Drug Users
Cluster Analysis
Longitudinal Studies
Linear Models
HIV

Keywords

  • depression
  • drug users
  • longitudinal
  • network size
  • social influence

ASJC Scopus subject areas

  • Psychiatry and Mental health
  • Public Health, Environmental and Occupational Health
  • Health(social science)
  • Medicine (miscellaneous)

Cite this

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