BMI足够吗?印度东北部Hmar部落的身体成分概况和心脏代谢风险。

IF 2.4 3区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Abigail Lalnuneng
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引用次数: 0

摘要

背景:身体质量指数(BMI)被广泛用于评估健康风险,但忽略了脂肪和瘦质量。这种限制在土著/部落南亚人群中尤为突出,他们表现出独特的身体组成和心脏代谢特征。本研究探讨了BMI、脂肪质量指数(FMI)和无脂肪质量指数(FFMI)在印度东北部Hmar部落中的分布,并评估了它们对高血压的预测效用,并以性别为重点。方法:对1207名成年人(598名男性,609名女性)进行了横断面研究,采用人体测量法、皮肤褶皱法和生物电阻抗法。BMI是根据世界卫生组织(1995)和世界卫生组织亚太地区(2000)标准进行分类的。多项式回归生成了特定性别的FFMI和FMI参考范围。ROC分析评估BMI、FMI和FFMI对高血压的预测效用。结果:男性FFMI/BFMI为16.3 ~ 19.2/2.2 ~ 5.8 kg/m2,女性为15.1 ~ 17.5/3.5 ~ 7.6 kg/m2;亚太地区:16.3-18.5/2.2-4.5(男性),15.1-16.7/3.5-6.3(女性),与其他人群不同,反映了种族差异。超重和/或肥胖患病率从32.06%(世界卫生组织,1995年)增加到49.96%(世界卫生组织,2000年)。尽管不同性别的BMI和FFMI相似,但FMI存在显著差异(WHO 1995: χ2 = 8.26, p 2 = 9.46, p结论:仅BMI不足以评估Hmars患者的心脏代谢风险。FMI和FFMI的性别特异性差异及其对高血压的预测价值,强调了基于身体成分的人群敏感筛查策略的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Is BMI Enough? Body Composition Profiles and Cardiometabolic Risk in Hmar Tribe of Northeast India.

Background: Body mass index (BMI) is widely used to assess health risk but overlooks fat and lean mass. This limitation is particularly salient for Indigenous/Tribal South Asian populations, who exhibit distinct body composition and cardiometabolic profiles. This study explores the distributions of BMI, fat mass index (FMI), and fat-free mass Index (FFMI) among the Hmar tribe of Northeast India, and evaluates their predictive utility for hypertension, with sex-specific focus.

Methods: A cross-sectional study was conducted on 1207 adults (598 men, 609 women) using anthropometry, skinfolds, and bioelectrical impedance. BMI was classified using WHO (1995) and WHO Asia-Pacific (2000) criteria. Polynomial regressions generated sex-specific FFMI and FMI reference ranges. ROC analysis evaluated the predictive utility of BMI, FMI, and FFMI for hypertension.

Results: FFMI/BFMI ranged 16.3-19.2/2.2-5.8 kg/m2 (men) and 15.1-17.5/3.5-7.6 kg/m2 (women) under WHO cutoffs; narrower under Asia-Pacific: 16.3-18.5/2.2-4.5 (men), 15.1-16.7/3.5-6.3 (women), differing from other populations reflecting ethnic variability. Overweight and/or obesity prevalence increased from 32.06% (WHO, 1995) to 49.96% (WHO, 2000). Despite similar BMI and FFMI across sexes, significant differences were observed in FMI (WHO 1995: χ2 = 8.26, p < 0.05; WHO 2000 χ2 = 9.46, p < 0.05). Hypertension affected 21% of participants. FFMI emerged as the strongest predictor of hypertension in men (AUC = 0.704), while BMI was more predictive in women (AUC = 0.761).

Conclusion: BMI alone is insufficient for assessing cardiometabolic risk among the Hmars. Sex-specific differences in FMI and FFMI, and their predictive value for hypertension, highlight the need for body composition-based population-sensitive screening strategies.

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来源期刊
Journal of Racial and Ethnic Health Disparities
Journal of Racial and Ethnic Health Disparities PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
7.30
自引率
5.10%
发文量
263
期刊介绍: Journal of Racial and Ethnic Health Disparities reports on the scholarly progress of work to understand, address, and ultimately eliminate health disparities based on race and ethnicity. Efforts to explore underlying causes of health disparities and to describe interventions that have been undertaken to address racial and ethnic health disparities are featured. Promising studies that are ongoing or studies that have longer term data are welcome, as are studies that serve as lessons for best practices in eliminating health disparities. Original research, systematic reviews, and commentaries presenting the state-of-the-art thinking on problems centered on health disparities will be considered for publication. We particularly encourage review articles that generate innovative and testable ideas, and constructive discussions and/or critiques of health disparities.Because the Journal of Racial and Ethnic Health Disparities receives a large number of submissions, about 30% of submissions to the Journal are sent out for full peer review.
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