Network financial support and conflict as predictors of depressive symptoms among a highly disadvantaged population

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

The study examined multiple dimensions of social support as predictors of depressive symptoms among a highly vulnerable population. Social network analysis was used to assess perceived and enacted dimensions of support (emotional, financial, instrumental), network conflict, closeness, and composition. Participants were 393 current and former injection drug users who were 72% ^ poverty level, 96% African American, 39% HIV seropositive. At baseline, 37% had high depression scores (CES-D ≥ 16). Adjusted logistic regression indicated that for every additional network member providing financial support, the odds of probable depression I year later decreased by 23%, and for every additional conflictive network tie the odds of depression increased by 57%. Findings suggest the greater importance to this population's psychological well-being of received support specific to environmental demands, rather than support perceived potentially available. The findings suggest potential directions for intervention.

Original languageEnglish (US)
Pages (from-to)13-28
Number of pages16
JournalJournal of community psychology
Volume35
Issue number1
DOIs
StatePublished - Jan 2007

ASJC Scopus subject areas

  • Social Psychology

Fingerprint

Dive into the research topics of 'Network financial support and conflict as predictors of depressive symptoms among a highly disadvantaged population'. Together they form a unique fingerprint.

Cite this