Clinical nutrition (Edinburgh, Scotland) · 2025
A comprehensive comparison of two commonly used BMI thresholds for non-communicable diseases and multimorbidity in the Chinese population.
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Fan Hong, Kouvari Matina, Guo Chengnan, Liu Zhenqiu, Zhang Xin, Wang Haili, Li Yi, Zhang Tiejun, Mantzoros Christos S
Аннотация
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.
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.