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主观福祉与抑郁症之间的双向关系:一个横截面和横滞后网络分析
Chen Cao1, Guilan Yu1, Liwei Chen2
1School of Business and Management, Jilin University, Changchun, People's Republic of China.
Psychology research and behavior management
|March 27, 2025
概括
这项研究揭示了主观幸福感 (SWB) 和抑郁症状之间的动态,双向关系. 网络分析确定了关键症状和保护因素,为心理健康干预提供了洞察力.
科学领域:
- 心理学 心理学 心理学
- 心理健康研究 心理健康研究
- 网络科学 网络科学
背景情况:
- 了解主观幸福感 (SWB) 和抑郁症状之间的相互作用对于心理健康至关重要.
- 网络建模提供了一种新的方法来探索情绪状态和症状之间的复杂关系随着时间的推移.
研究的目的:
- 使用纵向数据调查SWB和抑郁症状之间的动态,双向相互作用.
- 通过网络分析,识别影响心理健康的关键症状和保护因素.
主要方法:
- 利用了中国家庭小组研究 (CFPS) 的三个波 (2016年,2018年,2020年) 的数据,其中有13,409名参与者.
- 采用横截面和横滞网络分析来检查症状相互作用和时间动态.
- 使用生活满意度和未来信心测量SWB,并通过CES-D8尺度测量抑郁症状.
主要成果:
- 横截面分析确定"感到悲伤"作为一个核心症状. 交叉滞后分析揭示了特定抑郁症和SWB症状之间的反循环.
- "生活满意度"和"对未来的信心"表现出保护作用,形成了一个积极的反循环.
- 网络结构随时间变化而表现出稳定性 (中心性稳定系数=0.75).
结论:
- 在SWB和抑郁症状之间存在一种动态的,双向的关系.
- 研究结果为开发有针对性的干预措施以提高心理健康提供了有价值的见解.
- 网络分析是理解复杂心理健康动态的强大工具.
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