Literature DB >> 29410481

Body fat percentage cutoffs for risk of cardiometabolic abnormalities in the Chinese adult population: a nationwide study.

Aihua Jia1,2, Shaoyong Xu1, Jie Ming1, Ying Xing1, Jianhua Guo1, Mingwei Zhao1, Li Zhang3, Qiuhe Ji4.   

Abstract

BACKGROUND/
OBJECTIVES: The direct assessment of body fat (BF) by using simple methods might be an alternative index of obesity. We aim to investigate the optimal cutoffs of the %BF relating to metabolic disorders and cardiovascular risks in China. SUBJECTS/
METHODS: The data were from the 2007-2008 China National Diabetes and Metabolic Disorders Study. Participants with age of 20-75 years and with a BF measurement record were included. The %BF was measured using a foot-to-foot bioelectrical impedance analysis. Receiver operating characteristic curve was used to decide the optimal %BF cutoffs for predicting the risk of diabetes, hypertension, metabolic syndrome (MetS), and 10-year cardiovascular events (estimated by Framingham risk score (FRS)).
RESULTS: A total of 23,769 participants were enrolled with the mean age of 44.88 years, the male percentage of 40.59%, and the mean %BF of 25.22%. The mean %BFs of subjects who had diabetes, hypertension, metabolic syndrome, and FRS ≥ 10% were higher than those without diabetes, hypertension, metabolic syndrome, and FRS ≥ 10%, respectively. In men, the optimal %BF cutoffs for these four endpoints were 24.50%, 24.90%, 24.21%, and 22.10%, respectively. In women, they were 35.69%, 32.50%, 32.60%, and 32.31%, respectively. On the basis of the weights of these endpoints, the pooled optimal %BF cutoff was 23.67% and 32.88% in men and women, respectively.
CONCLUSIONS: We suggest the optimal foot-to-foot BIA-measured %BF cutoffs for predicting risk of cardiometabolic abnormalities to be 24% and 33% in Chinese men and women, respectively.

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Year:  2018        PMID: 29410481     DOI: 10.1038/s41430-018-0107-0

Source DB:  PubMed          Journal:  Eur J Clin Nutr        ISSN: 0954-3007            Impact factor:   4.016


  7 in total

1.  Body Composition Assessment by Bioelectrical Impedance Analysis in Prediction of Cardio-Metabolic Risk Factors: Tehran Lipid and Glucose Study (TLGS).

Authors:  Minoo Heidari Almasi; Maryam Barzin; Sara Serahati; Majid Valizadeh; Amirabbas Momenan; Feridoun Azizi; Farhad Hosseinpanah
Journal:  Iran J Public Health       Date:  2022-04       Impact factor: 1.479

2.  Prognostic value of adiposity indices for hypertension.

Authors:  Anna Oliveras
Journal:  J Clin Hypertens (Greenwich)       Date:  2019-09-09       Impact factor: 3.738

3.  Optimal cut-off values for anthropometric measures of obesity in screening for cardiometabolic disorders in adults.

Authors:  Pawel Macek; Malgorzata Biskup; Malgorzata Terek-Derszniak; Halina Krol; Jolanta Smok-Kalwat; Stanislaw Gozdz; Marek Zak
Journal:  Sci Rep       Date:  2020-07-09       Impact factor: 4.379

4.  Fasting triglycerides and glucose index is more suitable for the identification of metabolically unhealthy individuals in the Chinese adult population: A nationwide study.

Authors:  Xinwen Yu; Li Wang; Wencheng Zhang; Jie Ming; Aihua Jia; Shaoyong Xu; Qiaoyue Li; Qiuhe Ji
Journal:  J Diabetes Investig       Date:  2018-12-12       Impact factor: 4.232

5.  Normal weight obesity and the risk of diabetes in Chinese people: a 9-year population-based cohort study.

Authors:  Shaoyong Xu; Jie Ming; Aihua Jia; Xinwen Yu; Jing Cai; Ce Jing; Chun Liu; Qiuhe Ji
Journal:  Sci Rep       Date:  2021-03-17       Impact factor: 4.379

6.  Using noninvasive anthropometric indices to develop and validate a predictive model for metabolic syndrome in Chinese adults: a nationwide study.

Authors:  Jie Zhou; Qiuhe Ji; Qian Xu; Li Wang; Jie Ming; Hongwei Cao; Tao Liu; Xinwen Yu; Yuanyuan Bai; Shengru Liang; Ruofan Hu; Li Wang; Changsheng Chen
Journal:  BMC Endocr Disord       Date:  2022-03-03       Impact factor: 2.763

Review 7.  Anthropometric Indicators as a Tool for Diagnosis of Obesity and Other Health Risk Factors: A Literature Review.

Authors:  Paola Piqueras; Alfredo Ballester; Juan V Durá-Gil; Sergio Martinez-Hervas; Josep Redón; José T Real
Journal:  Front Psychol       Date:  2021-07-09
  7 in total

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