Evaluation of visceral adipose tissue thresholds for elevated metabolic syndrome risk across diverse populations: A systematic review

医学 代谢综合征 肥胖 民族 人口学 脂肪组织 风险评估 人口 体质指数 内科学 环境卫生 计算机安全 社会学 人类学 计算机科学
作者
Jonathan P. Bennett,Carla M. Prado,Steven B. Heymsfield,John Shepherd
出处
期刊:Obesity Reviews [Wiley]
卷期号:25 (9): e13767-e13767 被引量:27
标识
DOI:10.1111/obr.13767
摘要

Summary Beyond obesity, excess levels of visceral adipose tissue (VAT) significantly contribute to the risk of developing metabolic syndrome (MetS), although thresholds for increased risk vary based on population, regions of interest, and units of measure employed. We sought to determine whether a common threshold exists that is indicative of heightened MetS risk across all populations, accounting for sex, age, BMI, and race/ethnicity. A systematic literature review was conducted in September 2023, presenting threshold values for elevated MetS risk. Standardization equations harmonized the results from DXA, CT, and MRI systems to facilitate a comparison of threshold variations across studies. A total of 52 papers were identified. No single threshold could accurately indicate elevated risk for both males and females across varying BMI, race/ethnicity, and age groups. Thresholds fluctuated from 70 to 165.9 cm 2 , with reported values consistently lower in females. Generally, premenopausal females and younger adults manifested elevated risks at lower VAT compared to their older counterparts. Notably, Asian populations exhibited elevated risks at lower VAT areas (70–136 cm 2 ) compared to Caucasian populations (85.6–165.9 cm 2 ). All considered studies reported associations of VAT without accommodating covariates. No single VAT area threshold for elevated MetS risk was discernible post‐harmonization by technology, units of measure, and region of interest. This review summarizes available evidence for MetS risk assessment in clinical practice. Further exploration of demographic‐specific interactions between VAT area and other risk factors is imperative to comprehensively delineate overarching MetS risk.
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