Kersten Philipp, Mund Marcus, Neyer Franz J
Department of Psychology, Friedrich Schiller University Jena, Jena, Germany.
Psychological Assessment and Personality Psychology, University of Klagenfurt, Klagenfurt, Austria.
J Pers. 2025 Oct;93(5):1149-1163. doi: 10.1111/jopy.12998. Epub 2024 Nov 27.
For individuals living alone, having a diverse personal network is considered crucial for mitigating the risk of social isolation and enhancing well-being. Although a reciprocal dynamic between network diversity and well-being is likely, longitudinal evidence supporting reciprocal effects is limited. This study investigates dynamic transactions between network diversity and well-being (life satisfaction, loneliness, and depressiveness) in a community-based sample of middle-aged adults from Germany. It also explores moderations by the duration of living alone.
Data were drawn from the three-wave RIKSCHA (Risks and Chances of Living Alone) project, which includes N = 389 middle-aged adults living alone.
Cross-lagged panel models revealed high rank-order stabilities and correlated changes in network diversity and well-being. Random-intercept cross-lagged panel models and dynamic panel models indicated that unobserved traits accounted for these high stabilities. Correlated changes disappeared when accounting for the trait-like stability of variables. Across all models, no evidence of reciprocal associations between network diversity and well-being was found. All results remained consistent regardless of the duration of living alone.
The study discusses trait factors accounting for the high stabilities observed in network diversity and well-being among middle-aged adults living alone. Future research should further explore the traits impacting successful adaptation to living alone within the context of personal networks.
对于独居者而言,拥有多样化的个人社交网络被认为对于降低社会孤立风险和提升幸福感至关重要。尽管社交网络多样性与幸福感之间可能存在相互影响的动态关系,但支持这种相互作用的纵向证据有限。本研究调查了德国社区中年独居成年人样本中社交网络多样性与幸福感(生活满意度、孤独感和抑郁情绪)之间的动态关系。研究还探讨了独居时长的调节作用。
数据来自三波次的RIKSCHA(独居的风险与机遇)项目,该项目包含N = 389名中年独居成年人。
交叉滞后面板模型显示社交网络多样性与幸福感具有高度的等级稳定性和相关变化。随机截距交叉滞后面板模型和动态面板模型表明,未观察到的特质解释了这些高度稳定性。当考虑变量的特质样稳定性时,相关变化消失。在所有模型中,均未发现社交网络多样性与幸福感之间存在相互关联的证据。无论独居时长如何,所有结果均保持一致。
本研究讨论了导致独居中年成年人社交网络多样性和幸福感中观察到的高度稳定性的特质因素。未来研究应在个人社交网络背景下进一步探索影响成功适应独居生活的特质。