Zhou Li-Na, Ma Xian-Cang, Wang Wei
Department of Psychiatry, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, Shaanxi Province, China.
World J Psychiatry. 2024 Feb 19;14(2):245-254. doi: 10.5498/wjp.v14.i2.245.
Many studies have explored the relationship between depression and metabolic syndrome (MetS), especially in older people. China has entered an aging society. However, there are still few studies on the elderly in Chinese communities.
To investigate the incidence and risk factors of depression in MetS patients in mainland China and to construct a predictive model.
Data from four waves of the China Health and Retirement Longitudinal Study were selected, and middle-aged and elderly patients with MetS ( = 2533) were included based on the first wave. According to the center for epidemiological survey-depression scale (CESD), participants with MetS were divided into depression ( = 938) and non-depression groups ( = 1595), and factors related to depression were screened out. Subsequently, the 2-, 4-, and 7-year follow-up data were analyzed, and a prediction model for depression in MetS patients was constructed.
The prevalence of depression in middle-aged and elderly patients with MetS was 37.02%. The prevalence of depression at the 2-, 4-, and 7-year follow-up was 29.55%, 34.53%, and 38.15%, respectively. The prediction model, constructed using baseline CESD and Physical Self-Maintenance Scale scores, average sleep duration, number of chronic diseases, age, and weight had a good predictive effect on the risk of depression in MetS patients at the 2-year follow-up (area under the curve = 0.775, 95% confidence interval: 0.750-0.800, < 0.001), with a sensitivity of 68% and a specificity of 74%.
The prevalence of depression in middle-aged and elderly patients with MetS has increased over time. The early identification of and intervention for depressive symptoms requires greater attention in MetS patients.
许多研究探讨了抑郁症与代谢综合征（MetS）之间的关系，尤其是在老年人中。中国已步入老龄化社会。然而，针对中国社区老年人的研究仍较少。
调查中国大陆MetS患者抑郁症的发病率及危险因素，并构建预测模型。
选取中国健康与养老追踪调查四轮的数据，根据第一轮纳入中老年MetS患者（n = 2533）。根据流行病学调查中心抑郁量表（CESD），将MetS患者分为抑郁组（n = 938）和非抑郁组（n = 1595），筛选出与抑郁症相关的因素。随后，分析2年、4年和7年的随访数据，并构建MetS患者抑郁症的预测模型。
中老年MetS患者抑郁症的患病率为37.02%。2年、4年和7年随访时抑郁症的患病率分别为29.55%、34.53%和38.15%。使用基线CESD和身体自我维持量表评分、平均睡眠时间、慢性病数量、年龄和体重构建的预测模型，对MetS患者2年随访时抑郁症风险具有良好的预测效果（曲线下面积 = 0.775，95%置信区间：0.750 - 0.800，P < 0.001），敏感性为68%，特异性为74%。
中老年MetS患者抑郁症的患病率随时间增加。在MetS患者中，对抑郁症状的早期识别和干预需要更多关注。
