Department of Graduate School, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China.
Student Health Center, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China.
BMC Psychiatry. 2024 May 10;24(1):351. doi: 10.1186/s12888-024-05806-z.
Depressive symptoms are one of the most common psychiatric disorders, with a high lifetime prevalence rate among middle-aged and elderly Chinese. Obesity may be one of the risk factors for depressive symptoms, but there is currently no consensus on this view. Therefore, we investigate the relationship and predictive ability of 13 obesity- and lipid-related indices with depressive symptoms among middle-aged and elderly Chinese.
The data were obtained from The China Health and Retirement Longitudinal Study (CHARLS). Our analysis includes individuals who did not have depressive symptoms at the baseline of the CHARLS Wave 2011 study and were successfully follow-up in 2013 and 2015. Finally, 3790 participants were included in the short-term (from 2011 to 2013), and 3660 participants were included in the long-term (from 2011 to 2015). The average age of participants in short-term and long-term was 58.47 years and 57.88 years. The anthropometric indicators used in this analysis included non-invasive [e.g. waist circumference (WC), body mass index (BMI), and a body mass index (ABSI)], and invasive anthropometric indicators [e.g. lipid accumulation product (LAP), triglyceride glucose index (TyG index), and its-related indices (e.g. TyG-BMI, and TyG-WC)]. Receiver operating characteristic (ROC) analysis was used to examine the predictive ability of various indicators for depressive symptoms. The association of depressive symptoms with various indicators was calculated using binary logistic regression.
The overall incidence of depressive symptoms was 20.79% in the short-term and 27.43% in the long-term. In males, WC [AUC = 0.452], LAP [AUC = 0.450], and TyG-WC [AUC = 0.451] were weak predictors of depressive symptoms during the short-term (P < 0.05). In females, BMI [AUC = 0.468], LAP [AUC = 0.468], and TyG index [AUC = 0.466] were weak predictors of depressive symptoms during the long-term (P < 0.05). However, ABSI cannot predict depressive symptoms in males and females during both periods (P > 0.05).
The research indicates that in the middle-aged and elderly Chinese, most obesity- and lipid-related indices have statistical significance in predicting depressive symptoms, but the accuracy of these indicators in prediction is relatively low and may not be practical predictors.
抑郁症状是最常见的精神障碍之一，在中国中年和老年人中具有很高的终生患病率。肥胖可能是抑郁症状的一个危险因素，但目前对此观点尚无共识。因此，我们调查了中年和老年人中 13 种肥胖和脂质相关指标与抑郁症状之间的关系和预测能力。
数据来自中国健康与退休纵向研究（CHARLS）。我们的分析包括基线时无抑郁症状且在 CHARLS 波 2011 研究中成功随访的个体，并在 2013 年和 2015 年成功随访。最终，3790 名参与者被纳入短期（2011 年至 2013 年），3660 名参与者被纳入长期（2011 年至 2015 年）。短期和长期参与者的平均年龄分别为 58.47 岁和 57.88 岁。本分析中使用的人体测量指标包括非侵入性[例如腰围（WC）、体重指数（BMI）和身体质量指数（ABSI）]和侵入性人体测量指标[例如脂质蓄积产物（LAP）、甘油三酯葡萄糖指数（TyG 指数）及其相关指数（例如 TyG-BMI 和 TyG-WC）]。接收者操作特征（ROC）分析用于检查各种指标对抑郁症状的预测能力。使用二元逻辑回归计算抑郁症状与各种指标的关联。
短期总体抑郁症状发生率为 20.79%，长期为 27.43%。在男性中，WC[AUC=0.452]、LAP[AUC=0.450]和 TyG-WC[AUC=0.451]是短期抑郁症状的弱预测指标（P<0.05）。在女性中，BMI[AUC=0.468]、LAP[AUC=0.468]和 TyG 指数[AUC=0.466]是长期抑郁症状的弱预测指标（P<0.05）。然而，ABSI 不能预测男性和女性在两个时期的抑郁症状（P>0.05）。
研究表明，在中国中年和老年人中，大多数肥胖和脂质相关指标在预测抑郁症状方面具有统计学意义，但这些指标在预测中的准确性相对较低，可能不是实用的预测指标。
