Relationship between time perspective and depressive symptoms in young people working in high-altitude environments

高海拔地区青年工作时间观念与抑郁症状的关系

阅读:1

Abstract

BACKGROUND: Depression rates are significantly higher in high-altitude regions, making it important to understand its underlying mechanisms. Time perspective, which refers to how individuals perceive their past, present, and future, is closely linked to depression in low-altitude areas. However, its relationship with depression in high-altitude regions remains unclear. METHODS: A cross-sectional survey was conducted with 4942 young male workers from high-altitude regions. The association between time perspectives and depressive symptoms were examined by univariate and multivariate analyses. Network analysis was employed to identify central symptoms and their interactions, and to compare the differences between individuals with and without depression. RESULTS: The study identified that elevated past negative (PN), reduced past positive (PP), increased present fatalistic (PF) and present hedonistic (PH) orientations, and lower future (F) were significant risk factors for depressive symptoms in plateau populations. In the network structure of the depression group, PN, PF, PH, SDS18 "emptiness", and SDS13 "psychomotor agitation" were key elements influencing depressive symptoms and the strongest edge was F-PP. Significant differences were detected between the depressive and non-depressive groups, with the depressive group demonstrating significantly greater global strength invariance and a more robust network invariance. CONCLUSIONS: Abnormal time perspectives, especially PN, PF and PH were strongly associated with depression in high-altitude environments, and the strong connection between F-PP provides a potential intervention target. Future research should further explore the causal relationship.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。