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Collaborative competence, social capital, and mental health: A cross‐sectional analysis of a community‐based intervention for older adults
Journal of Community & Applied Social Psychology ( IF 2.968 ) Pub Date : 2020-08-16 , DOI: 10.1002/casp.2481
Annahita Ehsan 1, 2 , Nicolas Sommet 1, 2 , Davide Morselli 1, 2 , Dario Spini 1, 2
Affiliation  

Social capital interventions for the mental health of older adults have been inconclusive to date, and have rarely investigated the psychological resources that are important to having social capital. This study focused on the “Neighborhoods in Solidarity” (NS), which are a series of Swiss community‐based interventions that aim to empower older adults to participate in their communities. Our goal was to understand whether the NS were associated with collaborative competence, social capital, and subsequently, symptoms of depression. Cross‐sectional data were collected from 947 individuals aged 55 and over (Mage = 68.66, SD = 9.04) in 10 Swiss neighbourhoods (five with the NS [n = 479] and five control neighbourhoods [n = 468]). Structural equation modelling was used to model the relationship between the NS intervention, collaborative competence, cognitive and structural dimensions of social capital, and symptoms of depression (measured by the CESD‐R‐10). Individual participation in the NS had total and indirect effects on symptoms of depression via collaborative competence and both social capitals. These findings suggest that existing community‐based interventions can be indirectly associated with better mental health outcomes in the ageing population.

中文翻译:

协作能力,社会资本和心理健康:针对老年人的社区干预的横断面分析

迄今为止,对老年人的心理健康进行社会资本干预尚无定论,很少研究对拥有社会资本至关重要的心理资源。这项研究的重点是“团结互助社区”(NS),这是一系列基于瑞士社区的干预措施,旨在增强老年人参与其社区的能力。我们的目标是了解NS是否与协作能力,社会资本以及随后的抑郁症症状相关。横断面数据来自10个瑞士社区(五个NS区域[ n = 479]和五个对照社区[ n ]中的947位55岁及以上(M年龄= 68.66,SD = 9.04)的个体。= 468])。结构方程模型用于建模NS干预,协作能力,社会资本的认知和结构维度以及抑郁症状之间的关系(由CESD‐R-10衡量)。通过合作能力和社会资本,个体参与NS对抑郁症状具有全面和间接的影响。这些发现表明,现有的基于社区的干预措施可以与人口老龄化带来的更好的心理健康结果间接相关。
更新日期:2020-08-16
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