Cargando…

The relationship between anthropometric indicators and health-related quality of life in a community-based adult population: A cross-sectional study in Southern China

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 p...

Descripción completa

Detalles Bibliográficos
Autores principales: Fan, Yu-Jun, Feng, Yi-Jin, Meng, Ya, Su, Zhen-Zhen, Wang, Pei-Xi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9554305/
https://www.ncbi.nlm.nih.gov/pubmed/36249240
http://dx.doi.org/10.3389/fpubh.2022.955615
_version_ 1784806663913472000
author Fan, Yu-Jun
Feng, Yi-Jin
Meng, Ya
Su, Zhen-Zhen
Wang, Pei-Xi
author_facet Fan, Yu-Jun
Feng, Yi-Jin
Meng, Ya
Su, Zhen-Zhen
Wang, Pei-Xi
author_sort Fan, Yu-Jun
collection PubMed
description 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.
format Online
Article
Text
id pubmed-9554305
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-95543052022-10-13 The relationship between anthropometric indicators and health-related quality of life in a community-based adult population: A cross-sectional study in Southern China Fan, Yu-Jun Feng, Yi-Jin Meng, Ya Su, Zhen-Zhen Wang, Pei-Xi Front Public Health Public Health 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. Frontiers Media S.A. 2022-09-28 /pmc/articles/PMC9554305/ /pubmed/36249240 http://dx.doi.org/10.3389/fpubh.2022.955615 Text en Copyright © 2022 Fan, Feng, Meng, Su and Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Fan, Yu-Jun
Feng, Yi-Jin
Meng, Ya
Su, Zhen-Zhen
Wang, Pei-Xi
The relationship between anthropometric indicators and health-related quality of life in a community-based adult population: A cross-sectional study in Southern China
title The relationship between anthropometric indicators and health-related quality of life in a community-based adult population: A cross-sectional study in Southern China
title_full The relationship between anthropometric indicators and health-related quality of life in a community-based adult population: A cross-sectional study in Southern China
title_fullStr The relationship between anthropometric indicators and health-related quality of life in a community-based adult population: A cross-sectional study in Southern China
title_full_unstemmed The relationship between anthropometric indicators and health-related quality of life in a community-based adult population: A cross-sectional study in Southern China
title_short The relationship between anthropometric indicators and health-related quality of life in a community-based adult population: A cross-sectional study in Southern China
title_sort relationship between anthropometric indicators and health-related quality of life in a community-based adult population: a cross-sectional study in southern china
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9554305/
https://www.ncbi.nlm.nih.gov/pubmed/36249240
http://dx.doi.org/10.3389/fpubh.2022.955615
work_keys_str_mv AT fanyujun therelationshipbetweenanthropometricindicatorsandhealthrelatedqualityoflifeinacommunitybasedadultpopulationacrosssectionalstudyinsouthernchina
AT fengyijin therelationshipbetweenanthropometricindicatorsandhealthrelatedqualityoflifeinacommunitybasedadultpopulationacrosssectionalstudyinsouthernchina
AT mengya therelationshipbetweenanthropometricindicatorsandhealthrelatedqualityoflifeinacommunitybasedadultpopulationacrosssectionalstudyinsouthernchina
AT suzhenzhen therelationshipbetweenanthropometricindicatorsandhealthrelatedqualityoflifeinacommunitybasedadultpopulationacrosssectionalstudyinsouthernchina
AT wangpeixi therelationshipbetweenanthropometricindicatorsandhealthrelatedqualityoflifeinacommunitybasedadultpopulationacrosssectionalstudyinsouthernchina
AT fanyujun relationshipbetweenanthropometricindicatorsandhealthrelatedqualityoflifeinacommunitybasedadultpopulationacrosssectionalstudyinsouthernchina
AT fengyijin relationshipbetweenanthropometricindicatorsandhealthrelatedqualityoflifeinacommunitybasedadultpopulationacrosssectionalstudyinsouthernchina
AT mengya relationshipbetweenanthropometricindicatorsandhealthrelatedqualityoflifeinacommunitybasedadultpopulationacrosssectionalstudyinsouthernchina
AT suzhenzhen relationshipbetweenanthropometricindicatorsandhealthrelatedqualityoflifeinacommunitybasedadultpopulationacrosssectionalstudyinsouthernchina
AT wangpeixi relationshipbetweenanthropometricindicatorsandhealthrelatedqualityoflifeinacommunitybasedadultpopulationacrosssectionalstudyinsouthernchina