Body fat percentage cutoffs for risk of cardiometabolic abnormalities in the Chinese adult population: a nationwide study
Blood Glucose
Male
Metabolic Syndrome
China
Body Weight
Body Mass Index
3. Good health
03 medical and health sciences
Cholesterol
0302 clinical medicine
Asian People
Socioeconomic Factors
Cardiovascular Diseases
Risk Factors
Electric Impedance
Cluster Analysis
Humans
Insulin
Female
Exercise
Triglycerides
Adiposity
DOI:
10.1038/s41430-018-0107-0
Publication Date:
2018-02-06T17:44:57Z
AUTHORS (8)
ABSTRACT
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.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)).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.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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