A comprehensive comparison of two commonly used BMI thresholds for non-communicable diseases and multimorbidity in the Chinese population

IF 7.4 2区 医学 Q1 NUTRITION & DIETETICS Clinical nutrition Pub Date : 2025-03-24 DOI:10.1016/j.clnu.2025.03.016
Hong Fan , Matina Kouvari , Chengnan Guo , Zhenqiu Liu , Xin Zhang , Haili Wang , Yi Li , Tiejun Zhang , Christos S. Mantzoros
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Abstract

Background & aims

Various body mass index (BMI) thresholds are used to classify overweight and obesity in the Chinese population. We compared two commonly applied BMI classifications for Chinese population: World Health Organization (WHO) criteria (overweight: BMI≥23 kg/m2; obesity: BMI≥25 kg/m2) and China Working Group criteria (overweight: BMI≥24 kg/m2; obesity: BMI≥28 kg/m2) across 14 non-communicable diseases and multimorbidity.

Methods

This research utilized data from the China Health and Retirement Longitudinal Study at baseline and after 9 years of follow-up (2011–2020). The sample comprised of 13,519 individuals in 2011 (mean age: 59 (10) years, mean BMI: 23.4 (3.6) kg/m2, female: 53.20 %), with 9841 followed up in 2020. BMI classifications were: a. normal weight (18.5≤BMI<23) vs. borderline overweight (23≤BMI<24) vs. overweight (BMI≥24) b. non-obesity (18.5≤BMI<25) vs. borderline obesity (25≤BMI<28) vs. obesity (BMI≥28). Borderline categories represented the overlapping between the two classifications. Cox proportional hazards model was used to evaluate the associations between weight status (including borderline weight) and multiple diseases, using both WHO and China criteria for BMI thresholds. Sensitivity analyses excluded smokers, those diagnosed within the first 2 years in prospective analysis, and those diagnosed within the past three years in cross-sectional analysis, respectively. Subgroup analysis by gender and age was conducted.

Results

Overweight prevalence was 50.99 % based on WHO criteria and 40.10 % based on China criteria. Obesity prevalence was 30.65 % and 10.97 %, respectively. BMI exhibited a positive or J-shaped association with multiple cardiometabolic factors (ie, hypertension, dyslipidemia, diabetes, heart disease, stroke) and multimorbidity. Individuals with normal weight experienced a lower risk of hypertension, dyslipidemia, diabetes [hazard ratio (95 % confidence interval): 0.71 (0.60–0.83), 0.71 (0.59–0.84), 0.64 (0.50–0.81), respectively] compared to those with borderline overweight.

Conclusions

Different BMI classifications greatly affect overweight and obesity estimates and have implications for predicting morbidity and mortality. Although using the China Working Group's lenient BMI threshold (BMI<24 for normal and <28 for overweight) may help prevent multimorbidity and most NCDs, using the WHO's stricter BMI thresholds (BMI<23 and BMI<25 respectively) may offer even greater cardiometabolic benefits.
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中国人群非传染性疾病和多发病两种常用BMI阈值的综合比较
背景,目的利用不同的身体质量指数(BMI)阈值对中国人群的超重和肥胖进行分类。我们比较了中国人群常用的两种BMI分类:世界卫生组织(WHO)标准(超重:BMI≥23 kg/m2;肥胖:BMI≥25kg /m2)和中国工作组标准(超重:BMI≥24kg /m2;肥胖:BMI≥28 kg/m2),涉及14种非传染性疾病和多病。方法本研究利用中国健康与退休纵向研究的基线数据和9年随访(2011-2020)后的数据。2011年共纳入13519例(平均年龄59(10)岁,平均BMI: 23.4 (3.6) kg/m2,女性:53.20%),2020年随访9841例。BMI分为:a.体重正常(18.5≤BMI<23) vs.超重(23≤BMI<24) vs.超重(BMI≥24);b.非肥胖(18.5≤BMI<25) vs.肥胖(25≤BMI<28) vs.肥胖(BMI≥28)。边界分类表示两个分类之间的重叠。使用Cox比例风险模型评估体重状况(包括临界体重)与多种疾病之间的关系,同时使用WHO和中国的BMI阈值标准。敏感性分析分别排除了吸烟者、前瞻性分析中前2年内诊断的患者和横断面分析中过去3年内诊断的患者。按性别和年龄进行亚组分析。结果按WHO标准超重率为50.99%,按中国标准超重率为40.10%。肥胖患病率分别为30.65%和10.97%。BMI与多种心脏代谢因素(如高血压、血脂异常、糖尿病、心脏病、中风)和多种疾病呈正相关或j型相关。体重正常的人患高血压、血脂异常和糖尿病的风险较低[危险比(95%可信区间)分别为0.71(0.60-0.83)、0.71(0.59-0.84)、0.64(0.50-0.81)]。结论不同的BMI分类对超重和肥胖的估计有很大影响,并对预测发病率和死亡率有影响。虽然使用中国工作组宽松的BMI阈值(正常BMI为24,超重BMI为28)可能有助于预防多种疾病和大多数非传染性疾病,但使用世界卫生组织更严格的BMI阈值(分别为23和25)可能会提供更大的心脏代谢益处。
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来源期刊
Clinical nutrition
Clinical nutrition 医学-营养学
CiteScore
14.10
自引率
6.30%
发文量
356
审稿时长
28 days
期刊介绍: Clinical Nutrition, the official journal of ESPEN, The European Society for Clinical Nutrition and Metabolism, is an international journal providing essential scientific information on nutritional and metabolic care and the relationship between nutrition and disease both in the setting of basic science and clinical practice. Published bi-monthly, each issue combines original articles and reviews providing an invaluable reference for any specialist concerned with these fields.
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