Lin Ziying, Chan Yap-Hang, Cheung Bernard Man Yung
Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Pokfulam, Hong Kong, China.
State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Pokfulam, Hong Kong, China.
J Clin Med. 2023 Jun 7;12(12):3891. doi: 10.3390/jcm12123891.
We aimed to dissect the complex relations between depressive symptoms, antidepressant use, and constituent metabolic syndrome (MetS) components in a representative U.S. population sample. A total of 15,315 eligible participants were included from 2005 to March 2020. MetS components were defined as hypertension, elevated triglycerides, reduced high-density lipoprotein cholesterol, central obesity, and elevated blood glucose. Depressive symptoms were classified as mild, moderate, or severe. Logistic regression was used to evaluate the relationship between depression severity, antidepressant use, individual MetS components and their degree of clustering. Severe depression was associated with the number of MetS components in a graded fashion. ORs for severe depression ranged from 2.08 [95%CI, 1.29-3.37] to 3.35 [95%CI, 1.57-7.14] for one to five clustered components. Moderate depression was associated with hypertension, central obesity, raised triglyceride, and elevated blood glucose (OR = 1.37 [95%CI, 1.09-1.72], 1.82 [95%CI, 1.21-2.74], 1.63 [95%CI, 1.25-2.14], and 1.37 [95%CI, 1.05-1.79], respectively). Antidepressant use was associated with hypertension (OR = 1.40, 95%CI [1.14-1.72]), raised triglyceride (OR = 1.43, 95%CI [1.17-1.74]), and the presence of five MetS components (OR = 1.74, 95%CI [1.13-2.68]) after adjusting for depressive symptoms. The depression severity and antidepressant use were associated with individual MetS components and their graded clustering. Metabolic abnormalities in patients with depression need to be recognized and treated.
我们旨在剖析美国代表性人群样本中抑郁症状、抗抑郁药物使用与代谢综合征（MetS）各组成成分之间的复杂关系。2005年至2020年3月期间，共纳入了15315名符合条件的参与者。MetS的组成成分定义为高血压、甘油三酯升高、高密度脂蛋白胆固醇降低、中心性肥胖和血糖升高。抑郁症状分为轻度、中度或重度。采用逻辑回归评估抑郁严重程度、抗抑郁药物使用、个体MetS组成成分及其聚集程度之间的关系。重度抑郁与MetS组成成分的数量呈分级相关。对于一至五个聚集成分，重度抑郁的比值比（OR）范围为2.08[95%置信区间（CI），1.29 - 3.37]至3.35[95%CI，1.57 - 7.14]。中度抑郁与高血压、中心性肥胖、甘油三酯升高和血糖升高相关（OR分别为1.37[95%CI，1.09 - 1.72]、1.82[95%CI，1.21 - 2.74]、1.63[95%CI，1.25 - 2.14]和1.37[95%CI，1.05 - 1.79]）。在调整抑郁症状后，抗抑郁药物使用与高血压（OR = 1.40，95%CI[1.14 - 1.72]）、甘油三酯升高（OR = 1.43，95%CI[1.17 - 1.74]）以及五个MetS组成成分的存在（OR = 1.74，95%CI[1.13 - 2.68]）相关。抑郁严重程度和抗抑郁药物使用与个体MetS组成成分及其分级聚集相关。抑郁症患者的代谢异常需要得到识别和治疗。
