Department of Psychology, Keimyung University, Daegu, South Korea.
Aging Ment Health. 2022 Jun;26(6):1106-1111. doi: 10.1080/13607863.2021.1897521. Epub 2021 Mar 15.
Prior research on the longitudinal associations between depressive symptoms and loneliness has conflated between-person and within-person effects, resulting in confusion over causal influences. The present study used the random-intercept cross-lagged panel model (RI-CLPM) to disentangle between-person from within-person sources of variance. The study used a representative sample of adults older than 40 years from the German Ageing Survey (DEAS). To examine the influence of time lag on the strength of the predictive paths, analyses were conducted with lags of 3 and 6 years. The results showed that, at the within-person level, auto-regressive and cross-lagged paths were significant with lag length of 3 years but not 6 years. It can be concluded that there is a reciprocal relationship between the variables that operates at intervals shorter than 6 years. However, the stable trait-like components of the variables account for much of the covariance between them. Recommendations include paying more attention to the factors that contribute to the stability of the 2 variables across time and situation in addition to short-term and symptom-focused interventions.
先前关于抑郁症状和孤独感之间纵向关联的研究混淆了个体间和个体内效应，导致因果影响混淆。本研究使用随机截距交叉滞后面板模型（RI-CLPM）来区分个体间和个体内的方差来源。该研究使用了德国老龄化调查（DEAS）中年龄在 40 岁以上的成年人的代表性样本。为了检验时滞对预测路径强度的影响，分析分别使用了 3 年和 6 年的时滞。结果表明，在个体内水平上，自回归和交叉滞后路径在 3 年时滞时显著，但在 6 年时滞时不显著。可以得出结论，在 6 年以下的时间间隔内，变量之间存在一种相互关系。然而，变量的稳定特质成分在它们之间的协方差中占很大比重。建议除了短期和以症状为重点的干预措施外，还应更加关注导致这两个变量在时间和情境中稳定的因素。
