Institute of Sociology, Academia Sinica, Taipei, Taiwan.
Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Int J Soc Psychiatry. 2018 Dec;64(8):726-736. doi: 10.1177/0020764018808326. Epub 2018 Oct 30.
Network- and cohesion-based social capital may play an important role in improving mental health. However, there is limited understanding about these relationships among adults in Taiwan.
The aim of this study was to examine the association between individual-level network and cohesion-based social capital and depressive symptoms among a population-based sample of Taiwanese adults.
Data were obtained from the 1997 Taiwan Social Change Survey ( = 2,598). The 20-item Center for Epidemiological Studies Depression Scale was used to measure depressive symptom scores; ⩾16 represented high depressive symptoms. Network-based social capital was measured using a position generator. Two dimensions of cohesion-based social capital were assessed: cognitive (perceived neighborhood trust and reciprocity) and structural (local community participation and organizational participation). Multivariable log-binomial regression models, weighted to account for the complex sampling design and adjusted for confounders, estimated prevalence ratios and 95% confidence intervals (CIs) to examine the association between each social capital measure and depressive symptoms.
In this study, 29.6% of respondents were classified as having high depressive symptom scores. Higher scores of composite cognitive social capital (adjusted Prevalence Ratios (aPR) = 0.92, 95% CI = [0.90, 0.95]) and structural social capital (aPR = 0.80, 95% CI = [0.65, 0.99]) were associated with a lower likelihood of high depressive symptom scores after controlling for confounders. However, there was no association between network social capital and depressive symptoms.
The findings suggest that the relationship between social capital and depressive symptoms in Taiwan differs according to the specific dimension of social capital assessed. Differentiating between network- and cohesion-based social capital merits greater attention to inform our understanding of building social capital to promote and improve mental health outcomes.
基于网络和凝聚力的社会资本可能在改善心理健康方面发挥重要作用。然而，对于台湾成年人来说，对于这些关系的了解有限。
本研究旨在检验网络和凝聚力社会资本的个体层面与台湾成年人人群中抑郁症状之间的关联。
数据来自 1997 年台湾社会变迁调查（ = 2598）。使用 20 项的流行病学研究中心抑郁量表来衡量抑郁症状评分； ≥16 表示有较高的抑郁症状。网络社会资本通过位置生成器来衡量。凝聚力社会资本的两个维度进行评估：认知（感知邻里信任和互惠）和结构（当地社区参与和组织参与）。使用多变量对数二项式回归模型，加权以考虑复杂的抽样设计，并调整混杂因素，估计了每个社会资本指标与抑郁症状之间的关联的患病率比和 95%置信区间（CI）。
在这项研究中，29.6%的受访者被归类为有较高的抑郁症状评分。复合认知社会资本（调整后的患病率比（aPR）=0.92，95%CI = [0.90, 0.95]）和结构社会资本（aPR = 0.80，95%CI = [0.65, 0.99]）得分较高与控制混杂因素后，出现高抑郁症状评分的可能性较低相关。然而，网络社会资本与抑郁症状之间没有关联。
这些发现表明，社会资本与抑郁症状之间的关系在台湾根据评估的社会资本的具体维度而有所不同。区分网络和凝聚力社会资本值得更多关注，以帮助我们了解建立社会资本以促进和改善心理健康结果。
