Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Body Fat Percentage and Normal-Weight Obesity in the Chinese Population

Development of a Simple Evaluation Indicator Using Anthropometric Measurements

Bibliographic Data

ID15475554
AuthorsYuetong Zhu (0000-0002-0372-9409, International University of Health and Welfare), Zimin Wang (0000-0002-0701-3870, Kyoto University, corresponding author), Hitoshi Maruyama (0000-0003-3371-3157, International University of Health and Welfare), Ko Onoda (0000-0003-2908-3711, International University of Health and Welfare), Qiuchen Huang (Capital Medical University)
Year2022
Volume19
Issue7
Pages4238-4238
Publication date2022-04-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph19074238
PMID35409919
OpenAlexW4223452568
LanguageEN
Citations received2
References cited38

Few studies explore the associations between body fat percentage (BFP) prediction and evaluation indicators for Chinese with normal-weight obesity. We aimed to explore convenient and cost-free BFP evaluation indicators to routinely monitor BFP status in Chinese patients with normal-weight obesity. Participants (N = 164) were divided into three groups according to body mass index (BMI) and BFP: normal-weight lean, normal-weight obese, and overweight and obese. Differences in body composition and circumference were compared to examine the relationship between BFP and circumference, determine a simple evaluation indicator reflecting BFP, and identify cutoff values for normal-weight obesity circumference. Significant differences in body composition and circumference were observed among the three groups. The correlation between thigh/height, hip/height, (hip + waist)/height, and BFP was stronger than that with BMI. The (hip + waist)/height ratio was the indicator most reflective of BFP (95% confidence interval: 3.004−9.018, p = 0.013), and a ratio above 1.115 (95% confidence interval: 0.936−0.992, p < 0.001) was predictive of normal-weight obesity. Furthermore, we suggest that the upper value for a normal BMI in Chinese individuals be lowered to 23.4 kg/m2 (95% confidence interval: 0.984−0.999, p < 0.001). The (hip + waist)/height ratio can be used with body mass index for a more accurate evaluations of BFP abnormalities and health risks

Anthropometry · Body adiposity index · Body Fat Percentage · Body mass index · Body volume index · Circumference · Classification of obesity · Confidence interval · Environmental health · Fat mass · Obesity · Overweight · Population · Waist · Waist-to-height ratio · Waist–hip ratio · Body Composition Measurement Techniques · Mathematics · Medicine · Nutritional Studies and Diet · Obesity, Physical Activity, Diet · Internal Medicine

  • Association of body fat percentage with kidney stone Disease

    Open Access•Xujuan Zheng, Qianqian Chen et al.•BMC Public Health•2023

  • The Analysis of the Correlations between BMI and Body Composition among Children with and without Intellectual Disability

    Open Access•Bogdan Constantin Ungurean, Adrian Cojocariu et al.•Children•2022

  • Body mass index and percent body fat

    Open Access•Paul Deurenberg, Mabel Yap et al.•International Journal of Obesity•1998

  • Diagnostic performance of body mass index to identify obesity as defined by body adiposity

    Open Access•D O Okorodudu, M F Jumean et al.•International Journal of Obesity•2010

  • Body-mass index and obesity in urban and rural China

    Open Access•Limin Wang, Bin Zhou et al.•The Lancet•2021

  • Epidemiology and determinants of obesity in China

    Open Access•Xiong-Fei Pan, Limin Wang et al.•The Lancet Diabetes & Endocrinology•2021

Unique citing works2
Citations per year0,5
Citation span2022 - 2023 (2)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 2

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae