中国大陆老年人的灵性与抑郁症状轨迹的纵向关联。

Longitudinal association of spirituality with depressive symptom trajectories among older adults in mainland China.

机构信息

Department of General Practice, School of Clinical Medicine at Guangdong Medical University, Dongguan, Guangdong Province, China.

Department of Epidemiology and Health Statistics, School of Public Health at Guangdong Medical University (Dongguan Key Laboratory of Chronic Noncommunicable Disease Prevention), Dongguan, Guangdong Province, China.

出版信息

Int J Geriatr Psychiatry. 2024 Mar;39(3):e6077. doi: 10.1002/gps.6077.

DOI:10.1002/gps.6077

PMID:38468424

Abstract

OBJECTIVES

The relationship between spirituality and depressive symptoms among the Chinese elderly is not well known. The current study explores this relationship using longitudinal data and trajectory modeling of depressive symptoms.

METHODS

A longitudinal study design was used to measure depressive symptoms repeatedly from 2012 to 2021 using the Geriatric Depression Scale (GDS). Group-based trajectory modeling analysis was conducted to determine the trajectories of depressive symptoms, and multiple logistic regression was used to explore the association between spirituality and depressive symptom trajectories.

RESULTS

A total of 2333 participants completed at least two GDS measures, and these were included in the Group-based trajectory modeling analysis. An optimal model of three trajectories was derived: no depressive symptoms group (75.2%), new-onset depressive symptoms group (14.4%), and persistent depressive symptoms group (10.4%). Logistic regression modeling revealed that higher spirituality was associated with a lower risk of both new-onset depressive symptoms (OR = 0.68, 95% CI = 0.49-0.93) and persistent depressive symptoms (OR = 0.32, 95% CI = 0.23-0.45).

CONCLUSIONS

Spirituality predicts a lower risk of new-onset depressive symptoms and persistent symptoms among older adults in mainland China.

摘要

目的

中国人的精神与抑郁症状之间的关系尚不清楚。本研究使用纵向数据和抑郁症状轨迹建模来探讨这种关系。

方法

使用纵向研究设计，使用老年抑郁量表（GDS）从 2012 年到 2021 年多次测量抑郁症状。进行基于群组的轨迹建模分析以确定抑郁症状的轨迹，并使用多逻辑回归探讨精神与抑郁症状轨迹之间的关联。

结果

共有 2333 名参与者完成了至少两次 GDS 测量，这些参与者被纳入基于群组的轨迹建模分析。得出了三种轨迹的最佳模型：无症状组（75.2%）、新发抑郁症状组（14.4%）和持续抑郁症状组（10.4%）。逻辑回归模型显示，较高的精神状态与新发抑郁症状（OR=0.68，95%CI=0.49-0.93）和持续抑郁症状（OR=0.32，95%CI=0.23-0.45）的风险降低相关。