Deng Jialin, He Lu, Zhang Luokai, Wang Jiaqi, Fu Qixiang, Ding Rongqi, Lv Yunhao, Jiang Yimiao, Xiao Xinhua, Zhou Hong
Department of Radiology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China.
Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China.
Int J Obes (Lond). 2025 Mar 20. doi: 10.1038/s41366-025-01741-5.
This review aimed to explore the association between metabolically healthy obesity (MHO) and the risk of depression. Databases (EMBASE, PubMed, Web of Science, Cochrane Library) were searched up to 20 June 2024. Observational studies were included if they compared groups with MHO, metabolically unhealthy nonobesity, and metabolically unhealthy obesity to groups with metabolically healthy nonobesity for the risk of depression. The random-effect model was used to calculate the pooled odds ratios (ORs). Subgroup analyses and meta-regressions were conducted according to age, study design, definition of MHO, BMI cut-off value, depression assessment method, geographic location, ethnicity, development status, and gender to explore the sources of heterogeneity. Three cohorts and 9 cross-sectional studies (N = 1,277,267 participants) were included in this review. Individuals with MHO (OR 1.08 [95% CI 1.04, 1.12], I² = 88.3%), metabolically unhealthy nonobesity (OR 1.15 [95% CI 1.04, 1.28], I² = 99.6%), and metabolically unhealthy obesity (OR 1.30 [95% CI 1.12, 1.51], I² = 99.8%) had an increased risk of depression than individuals with metabolically healthy nonobesity. The association between MHO and risk of depression was stronger in women (OR = 1.14; 95% CI: 1.08-1.20) and populations from North America (OR = 1.26; 95% CI: 1.01-1.58) and Europe (OR = 1.23; 95% CI: 1.07-1.41). Inconsistencies in MHO definitions and BMI cutoff values across studies were important sources of heterogeneity (subgroup analysis: P = 29.87, p = 0.001; meta-regression: p = 0.015, R² = 100%). MHO was associated with an increased risk of depression, particularly among women and populations from North America and Europe. These high-risk groups need personalized interventions. Standardizing definition for MHO could enhance comparability across studies. Future prospective cohort studies are needed to validate our findings by including populations from developing nations and employing rigorous definitions.
本综述旨在探讨代谢健康型肥胖(MHO)与抑郁症风险之间的关联。检索了截至2024年6月20日的数据库(EMBASE、PubMed、Web of Science、Cochrane图书馆)。纳入的观察性研究需比较患有MHO、代谢不健康型非肥胖和代谢不健康型肥胖的组与代谢健康型非肥胖的组患抑郁症的风险。采用随机效应模型计算合并比值比(OR)。根据年龄、研究设计、MHO的定义、BMI临界值、抑郁症评估方法、地理位置、种族、发展状况和性别进行亚组分析和meta回归,以探讨异质性的来源。本综述纳入了3个队列研究和9项横断面研究(N = 1,277,267名参与者)。与代谢健康型非肥胖个体相比,患有MHO(OR 1.08 [95% CI 1.04, 1.12],I² = 88.3%)、代谢不健康型非肥胖(OR 1.15 [95% CI 1.04, 1.28],I² = 99.6%)和代谢不健康型肥胖(OR 1.30 [95% CI 1.12, 1.51],I² = 99.8%)的个体患抑郁症的风险增加。MHO与抑郁症风险之间的关联在女性(OR = 1.14;95% CI:1.08 - 1.20)以及来自北美的人群(OR = 1.26;95% CI:1.01 - 1.58)和欧洲的人群(OR = 1.23;95% CI:1.07 - 1.41)中更强。研究中MHO定义和BMI临界值的不一致是异质性的重要来源(亚组分析:P = 29.87,p = 0.001;meta回归:p = 0.015,R² = 100%)。MHO与抑郁症风险增加相关,尤其是在女性以及来自北美和欧洲的人群中。这些高危人群需要个性化干预。标准化MHO的定义可以提高研究之间的可比性。未来需要进行前瞻性队列研究,纳入来自发展中国家的人群并采用严格的定义来验证我们的研究结果。