Zhang Ji, Wang Yueqing, Xu He, Gong Enying, Shao Ruitai
School of Population Medicine and Public Health, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, China.
School of Population Medicine and Public Health, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, China; 4+4 Medical Doctor Program, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
J Affect Disord. 2025 Feb 1;370:140-146. doi: 10.1016/j.jad.2024.10.123. Epub 2024 Oct 30.
Despite the established link between chronic conditions and depressive symptoms in recent decades, research into the temporal dynamics between multimorbidity and the occurrence of depressive symptoms remains scarce.
A total of 15,882 Chinese middle-aged and older adults with 63,246 observations from the China Health and Retirement Longitudinal Study were included in the present study. Depressive symptoms were evaluated using a 10-item CESD scale, with a threshold set at 12 points. Group-based trajectory modeling was used to examine the multimorbidity developmental trajectories. The risk of depressive symptoms was analyzed using mixed effect logistic regression models.
Among the final included 15,896 participants, 37.6 % reported states of multimorbidity, and 25.7 % were detected as depressive symptoms. In the fully adjusted model, those with multimorbidity were 2.36 (2.24 to 2.49) times more likely to present depressive symptoms, and the likelihood increased 1.38 (1.36 to 1.40) times with each additional chronic condition. Four distinct multimorbidity trajectory groups were identified: no-new-condition group (32.6 %), slow growth group (42.9 %), steady growth group (19.7 %), and rapid growth group (4.9 %). Compared to the no-new-condition group, the likelihood of developing depressive symptoms was greater in the subsequent three groups, with ORs of 1.53 (1.39 to1.71), 2.54 (2.24 to 2.89), and 4.40 (3.62 to 5.34), respectively.
Our results highlight the substantial health effects of accumulating multimorbidity on depressive symptoms, showing a direct link between risk and accumulation rate. We urge focusing on depressive symptoms in those with multimorbidity to tackle the significant healthcare challenges arising from concurrent physical and mental health issues.
尽管近几十年来已确定慢性病与抑郁症状之间存在联系,但对多种疾病并存与抑郁症状发生之间的时间动态关系的研究仍然很少。
本研究纳入了来自中国健康与养老追踪调查的15882名中国中老年人,共63246条观测数据。使用10项CESD量表评估抑郁症状,阈值设定为12分。采用基于群体的轨迹模型来研究多种疾病并存的发展轨迹。使用混合效应逻辑回归模型分析抑郁症状的风险。
在最终纳入的15896名参与者中,37.6%报告有多种疾病并存状态,25.7%被检测出有抑郁症状。在完全调整模型中,患有多种疾病的人出现抑郁症状的可能性是正常人的2.36(2.24至2.49)倍,每增加一种慢性病,可能性增加1.38(1.36至1.40)倍。确定了四个不同的多种疾病并存轨迹组:无新发病组(32.6%)、缓慢增长组(42.9%)、稳定增长组(