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Association between visceral adipose tissue and major depressive disorder across the lifespan: A scoping review

重性抑郁障碍 奇纳 心理信息 肥胖 医学 超重 萧条(经济学) 精神科 内科学 临床心理学 心理学 梅德林 心情 心理干预 政治学 法学 经济 宏观经济学
作者
Jia‐In Lee,Jessica Busler,Caitlin E. Millett,Jessica L. Principe,Len Levin,Alexandra Corrigan,Katherine E. Burdick
出处
期刊:Bipolar Disorders [Wiley]
卷期号:24 (4): 375-391 被引量:21
标识
DOI:10.1111/bdi.13130
摘要

Abstract Objectives Increasing evidence supports a bidirectional relationship between major depressive disorder (MDD) and obesity, but the role of visceral adipose tissue (VAT) as a measure of obesity in relation to MDD is not well understood. Here we review literature investigating the link between MDD and VAT in terms of biomarkers, sex differences, and aging. Methods PubMed, EMBASE, PsycINFO, and CINAHL searches were conducted on December 11, 2020. No date or language limits were imposed. Major concepts searched were Depressive Disorder linked with Adipose Tissue, White, Hypothalmo–Hypophyseal System, and Pituitary–Adrenal System in addition to keywords. A final set of 32 items meeting criteria for inclusion. Results Converging biological evidence suggests a significant bidirectional relationship between VAT and MDD across the lifespan. In adulthood, greater VAT was associated with increased risk for depression, especially in vulnerable groups such as individuals who are overweight/obese, postmenopausal women, and individuals with comorbid medical or psychiatric illness. In older adults, sarcopenia had an impact on the relationship between abnormal VAT and risk of depression. Additionally, sex differences emerged as a potential factor affecting the strength of the association between VAT and depression. Conclusions Elucidating the pathophysiological mechanisms associated with increased rates of depression in obese individuals will be crucial for developing specific treatment strategies that seek to improve outcomes in individuals with comorbid depression and obesity. Moreover, identifying age‐ and sex‐specific risk factors may contribute to a more personalized medicine approach, thereby improving the quality of clinical care.
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