Department of Public Health, Graduate School, Yonsei University, Seoul, South Korea.
Yonsei University College of Medicine, Seoul, South Korea.
J Psychiatr Res. 2022 Oct;154:300-306. doi: 10.1016/j.jpsychires.2022.07.063. Epub 2022 Aug 6.
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.
我们旨在确定社交网络的属性与韧性相关状态之间的关系。这项横断面研究使用心血管和代谢疾病病因学研究中心队列的基线数据,纳入了 11132 名参与者。以自我为中心的社交网络规模和亲密程度用于反映社交网络属性。根据参与者对生活经历调查和贝克抑郁量表Ⅱ的反应,将韧性相关状态进行操作定义。参与者被分为三组:参照组(无负面生活事件;无抑郁)、韧性组(有负面生活事件;但无抑郁)和抑郁组(无/有负面生活事件;有抑郁)。使用多项逻辑回归模型,在调整所有协变量后,估计社交网络对韧性相关状态的关联。社交网络规模与两性的韧性组均呈正相关(男性:OR=1.01[95%CI=0.96 至 1.05];女性:OR=1.07[95%CI=1.03 至 1.11]),而亲密程度呈负相关(男性:OR=0.91[95%CI=0.82 至 1.01];女性:OR=0.84[95%CI=0.76 至 0.92])。此外,无论年龄和性别如何,随着每种社交网络属性的增加,被归类为属于抑郁组的可能性降低。