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The relationship between anthropometric indicators and health-related quality of life in a community-based adult population

A cross-sectional study in Southern China

Bibliographic Data

ID22068677
AuthorsYujun Fan (Henan University), Yu-Jun Fan, Yi-Jin Feng (Henan University), Ya Meng (0009-0007-7753-9492, Huanghe Science and Technology College), Zhen-zhen Su (0000-0002-8327-5557), Zhenzhen Su (0000-0001-5425-5285, Henan University), Pei-Xi Wang (Henan University, corresponding author)
Year2022
Volume10
Pages955615-955615
Publication date2022-09-28
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2022.955615
PMID36249240
OpenAlexW4297540784
LanguageEN
Citations received1
References cited60

Background: This study was designed to analyze the relationship of waist circumference (WC), body mass index (BMI), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), relative fat mass (RFM), lipid accumulation product (LAP) and health-related quality of life (HRQoL) in the community-dwelling population of southern China and to explore the independent contribution of socio-demographic characteristics, number of chronic diseases and anthropometric indicators to HRQoL in that population. Methods: This community-based cross-sectional survey studied 2,663 adults aged 18 years and older. HRQoL was assessed by the 3-level EuroQol 5-dimensional scale (EQ-5D-3L), and HRQoL were calculated using the Chinese EQ-5D-3L value set. The outcome variable was the EQ-5D-3L score (HRQoL). Cluster regression was used to analyse the independent contribution of each obesity indicator to HRQoL. Results: A total of 2,663 people participated in this study, and their mean EQ-5D-3L score was 0.938 ± 0.072. In this study, according to the results of the one-way ANOVA, HRQoL was significantly different between the groups of WHtR, WHR, RFM and LAP, respectively. The independent contributions of socio-demographic factors, number of chronic diseases and anthropometric measures to HRQoL in the whole population accounted for 76.2, 7.9, and 15.9% of the total effect, respectively. Conclusion: RFM and LAP were found to have a previously unreported negative impact on HRQoL in a community-dwelling population. In future studies, RFM and LAP could be used as new indicators of obesity to predict quality of life in humans

Anthropometry · Body mass index · Chinese population · Cross-sectional study · Environmental health · Obesity · Population · Waist · Waist-to-height ratio · Demography · Diabetes, Cardiovascular Risks, and Lipoproteins · Medicine · Nutrition and Health in Aging · Obesity, Physical Activity, Diet · Gerontology · Internal Medicine

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Citations per year1
Citation span2025 - 2025 (1)
Highly citedNo

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