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Can I read Association of social network properties with resilience and depression among community-based Korean population on EtoBox?

Association of social network properties with resilience and depression among community-based Korean population by Yu Jin Lee; Sung Eun Kim; Yoosik Youm; Hyeon Chang Kim; Sun Jae Jung is a Psychology article available to read on EtoBox.

What is Association of social network properties with resilience and depression among community-based Korean population about?

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]). Additionall

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

It is typically read by researchers, students, and practitioners in Psychology.

Author
Yu Jin Lee; Sung Eun Kim; Yoosik Youm; Hyeon Chang Kim; Sun Jae Jung
Publisher
Elsevier BV
Published
2022
Language
EN
Field
Psychology (Social Sciences)

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