Yu Jingjie, Zhang Zhihui, Li Chunjun, Zhang Jiarui, Ding Zengbo, Zhu Weili, Wang Qiang
Department of Psychiatry and Psychology, Tianjin Union Medical Center, Tianjin, China.
Stomatology Department, Peking University Third Hospital, Beijing, China.
Front Psychiatry. 2021 Nov 2;12:773338. doi: 10.3389/fpsyt.2021.773338. eCollection 2021.
Although the relevant underlying biological mechanisms are still lacking, mental disorders have been closely associated with several metabolic abnormalities including high rates of obesity and metabolic syndrome especially in vulnerable populations. Therefore, the current study aims to examine how metabolic parameters increase the risk for developing mood disorders in individuals stratified by gender and age. In a routine physical examination, 319 healthy participants were recruited and assigned to six different groups according to age (young adults: 25-34 Y, middle age: 35-49 Y, and older age: 50-65 Y) in both males and females. A linear regression and bivariate correlation analysis were used to analyze the relationship between mood health outcomes measured by the Kessler 10 Psychological Distress Scale (K10) and the metabolic function. The results demonstrated that there was a significant association between K10 scores and metabolic parameters, including Body Mass Index (BMI), total-, LDL-cholesterol, and triglyceride. Furthermore, poor mental health (higher K10 scores) was observed in individuals with increased BMI, total-, LDL-cholesterol, and triglyceride levels particularly in middle-aged women relative to other groups. This is a cross-sectional study with a small sample size and lacks longitudinal follow-up evidence and preventive interventions and therefore could not provide the causal inference of metabolic pathophysiology on the increased sensitivity to mental disorders. The potential association suggests that targeting of the metabolic parameters might give us a better understanding of the underlying mechanisms of psychiatric diseases and provide preventive strategies and potential treatment for those with metabolic disturbances especially in middle-aged females.
尽管相关的潜在生物学机制仍不明确，但精神障碍已与多种代谢异常密切相关，包括肥胖率和代谢综合征高发，尤其是在易感人群中。因此，本研究旨在探讨代谢参数如何在按性别和年龄分层的个体中增加患情绪障碍的风险。在一次常规体检中，招募了319名健康参与者，并根据年龄（青年：25 - 34岁，中年：35 - 49岁，老年：50 - 65岁）将其分为六个不同组，男女皆有。采用线性回归和双变量相关分析来分析由凯斯勒10项心理困扰量表（K10）测量的情绪健康结果与代谢功能之间的关系。结果表明，K10得分与代谢参数之间存在显著关联，这些参数包括体重指数（BMI）、总胆固醇、低密度脂蛋白胆固醇和甘油三酯。此外，在BMI、总胆固醇、低密度脂蛋白胆固醇和甘油三酯水平升高的个体中观察到心理健康状况较差（K10得分较高），特别是中年女性相对于其他组更为明显。这是一项样本量较小的横断面研究，缺乏纵向随访证据以及预防干预措施，因此无法提供代谢病理生理学对精神障碍易感性增加的因果推断。这种潜在关联表明，针对代谢参数可能会让我们更好地理解精神疾病的潜在机制，并为代谢紊乱患者，尤其是中年女性，提供预防策略和潜在治疗方法。
