Association of social network properties with resilience and depression among community-based Korean population

Yu Jin Lee, Sung Eun Kim, Yoosik Youm, Hyeon Chang Kim, Sun Jae Jung

Research output: Contribution to journalArticlepeer-review

Abstract

We aimed to determine how the properties of social networks relate to resilient-related status. This cross-sectional study used baseline data from the Cardiovascular and Metabolic Disease Etiology Research Center cohort and included 11,132 participants. Ego-centric social network size and intimacy were used to reflect social network properties. Resilient-related status was operationally defined based on the participant's response to the Life Experience Survey and the Back Depression Inventory Ⅱ. Participants were categorized into three groups: reference (no negative life event; no depression), resilient (with negative life event; but no depression), and depression (no/with negative life event; with depression). Multinomial logistic regression models were used to estimate the association of social networks on the resilient-related status after adjusting for all covariates. Social network size was positively associated with the resilient group for both sex (male: OR = 1.01 [95% CI = 0.96 to 1.05], female: OR = 1.07 [95% CI = 1.03 to 1.11]), whereas intimacy showed a negative association (male: OR = 0.91 [95% CI = 0.82 to 1.01], female: OR = 0.84 [95% CI = 0.76 to 0.92]). Additionally, as each social network property increased, the likelihood of being categorized as belonging to the depression group decreased, regardless of age and sex.

Original languageEnglish
Pages (from-to)300-306
Number of pages7
JournalJournal of Psychiatric Research
Volume154
DOIs
Publication statusPublished - 2022 Oct

Bibliographical note

Funding Information:
We would like to thank Editage ( www.editage.co.kr ) for English language editing. This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF), funded by the Ministry of Science and ICT (2020R1C1C1003502).

Publisher Copyright:
© 2022 Elsevier Ltd

All Science Journal Classification (ASJC) codes

  • Psychiatry and Mental health
  • Biological Psychiatry

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