Relationship between body fat percentage and conventional obesity indicators and its cut-off values in Guangxi Zhuang population

LYU Fangfang; MO Caimei; LEI Lidi; LI Jinxiu; WEI Gangjie; LU Peini; XU Xuemei; HUANG Xuanqian; ZENG Xiaoyun; QIU Xiaoqiang; LIU Shun

doi:10.16462/j.cnki.zhjbkz.2024.08.011

Volume 28 Issue 8

Aug. 2024

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Article Navigation > CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION > 2024 > 28(8): 937-943

LYU Fangfang, MO Caimei, LEI Lidi, LI Jinxiu, WEI Gangjie, LU Peini, XU Xuemei, HUANG Xuanqian, ZENG Xiaoyun, QIU Xiaoqiang, LIU Shun. Relationship between body fat percentage and conventional obesity indicators and its cut-off values in Guangxi Zhuang population[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(8): 937-943. doi: 10.16462/j.cnki.zhjbkz.2024.08.011

Citation:

LYU Fangfang, MO Caimei, LEI Lidi, LI Jinxiu, WEI Gangjie, LU Peini, XU Xuemei, HUANG Xuanqian, ZENG Xiaoyun, QIU Xiaoqiang, LIU Shun. Relationship between body fat percentage and conventional obesity indicators and its cut-off values in Guangxi Zhuang population[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(8): 937-943. doi: 10.16462/j.cnki.zhjbkz.2024.08.011

Citation:

LYU Fangfang, MO Caimei, LEI Lidi, LI Jinxiu, WEI Gangjie, LU Peini, XU Xuemei, HUANG Xuanqian, ZENG Xiaoyun, QIU Xiaoqiang, LIU Shun. Relationship between body fat percentage and conventional obesity indicators and its cut-off values in Guangxi Zhuang population[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(8): 937-943. doi: 10.16462/j.cnki.zhjbkz.2024.08.011

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Relationship between body fat percentage and conventional obesity indicators and its cut-off values in Guangxi Zhuang population

doi: 10.16462/j.cnki.zhjbkz.2024.08.011

1.
Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning 530021, China
2.
Department of Child and Adolescent Psychology, Nanning Fifth People′s Hospital, Nanning 530001, China
3.
Department of Maternal, Child and Adolescent Health, School of Public Health, Guangxi Medical University, Nanning 530021, China

More Information

Corresponding author: LIU Shun, E-mail: liushun@gxmu.edu.cn
Received Date: 2023-11-30
Rev Recd Date: 2024-04-17

Available Online: 2024-09-29

Publish Date: 2024-08-10

Abstract

Abstract

Objective To investigate the association of body fat percentage (BFP) with body mass index (BMI) and waist circumference (WC) in Zhuang people aged 35- < 75 years in Guangxi, and to explore the cut-off values of obesity. Methods A total of 12 311 participants were selected from the baseline survey of the Prospective Cohort study of Chronic Diseases in Natural Minority Populations in Guangxi Zhuang Autonomous Region in 2018-2019. First, the relationship between BFP and BMI and WC was determined by curve fitting. Then, multiple linear regression model was used to analyze the main influencing factors of BFP, and regression equations for BMI and WC to predict BPF were constructed to calculate the overweight and obesity cut-off values of BPF. Finally, using BMI and WC criteria as the gold standard, the sensitivity, specificity and the area under curve (AUC) the receiver operating characteristic (ROC) of BFP corresponding cut-off values were calculated to evaluate its diagnostic value. Results BMI was superior to WC in predicting BFP. Based on the Chinese standard BMI of 28 kg/m², the BFP obesity cut-off values was 23.4% in men and 35.6% in women, and the AUC was 0.732 and 0.847, respectively. The corresponding sensitivity and specificity were 0.581 and 0.882 in males, and 0.818 and 0.876 in females. Conclusions In Guangxi Zhuang population, the BFP cut-off values calculated based on the Chinese obesity standard should be referred to BMI. The calculated obesity cut-off value for males is lower than the international standard. However, the cut-off values calculated with BMI≥30 kg/m² are higher than the international standard. The rationality of the BFP cut-off values needs to be further verified by considering the positive predictive value and the risk of obesity-related diseases in the future.
- Body fat percentage,
- Obesity,
- Zhuang ethnicity,
- Cut-off values

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References(29)

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