Cargando…

The association between self-rated health and different anthropometric and body composition measures in the Chinese population

BACKGROUND: To analyze the strength of association between self-rated health and six anthropometric and body composition measures to explore the best indicator. METHODS: Analyses were based on the cross-sectional data from the China Kadoorie Biobank Study and approximately 300,000 adults were analyz...

Descripción completa

Detalles Bibliográficos
Autores principales: Tang, Kun, Zhao, Yingxi, Li, Chunyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5390392/
https://www.ncbi.nlm.nih.gov/pubmed/28407795
http://dx.doi.org/10.1186/s12889-017-4249-0
_version_ 1782521450252468224
author Tang, Kun
Zhao, Yingxi
Li, Chunyan
author_facet Tang, Kun
Zhao, Yingxi
Li, Chunyan
author_sort Tang, Kun
collection PubMed
description BACKGROUND: To analyze the strength of association between self-rated health and six anthropometric and body composition measures to explore the best indicator. METHODS: Analyses were based on the cross-sectional data from the China Kadoorie Biobank Study and approximately 300,000 adults were analyzed. Logistics regression was used to analyze the association between self-rated health (good or poor) and anthropometric and body composition measures (height, weight, body mass index (BMI), waist circumference (WC), hip circumference (HC) and body fat percentage, waist-to-hip ratio and waist-to-height ratio). Stratified analyses were undertaken to understand the effect modification of socioeconomic status on the association. RESULT: Odds ratio of self-rated better health had an inverted U-shape association with weight, BMI, WC and body fat, with weight levels increasing until around 73.8 and 65.7 kg for male and female, BMI around 26.8 kg/m(2), WC around 85.8 and 87.6 cm, body fat around 24.3 and 36.3%, and then declining thereafter. Height and HC also indicated a slightly inverted U-shape association. The strongest association was observed after adjustment was weight, with one standard deviation greater weight associated with 10.2% and 10.6% increased odds in male and female. CONCLUSIONS: Being underweight and overweight are both risk factors for poor self-rated health in males and females, and weight is the best indicator of self-rated health compared with other measures.
format Online
Article
Text
id pubmed-5390392
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-53903922017-04-14 The association between self-rated health and different anthropometric and body composition measures in the Chinese population Tang, Kun Zhao, Yingxi Li, Chunyan BMC Public Health Research Article BACKGROUND: To analyze the strength of association between self-rated health and six anthropometric and body composition measures to explore the best indicator. METHODS: Analyses were based on the cross-sectional data from the China Kadoorie Biobank Study and approximately 300,000 adults were analyzed. Logistics regression was used to analyze the association between self-rated health (good or poor) and anthropometric and body composition measures (height, weight, body mass index (BMI), waist circumference (WC), hip circumference (HC) and body fat percentage, waist-to-hip ratio and waist-to-height ratio). Stratified analyses were undertaken to understand the effect modification of socioeconomic status on the association. RESULT: Odds ratio of self-rated better health had an inverted U-shape association with weight, BMI, WC and body fat, with weight levels increasing until around 73.8 and 65.7 kg for male and female, BMI around 26.8 kg/m(2), WC around 85.8 and 87.6 cm, body fat around 24.3 and 36.3%, and then declining thereafter. Height and HC also indicated a slightly inverted U-shape association. The strongest association was observed after adjustment was weight, with one standard deviation greater weight associated with 10.2% and 10.6% increased odds in male and female. CONCLUSIONS: Being underweight and overweight are both risk factors for poor self-rated health in males and females, and weight is the best indicator of self-rated health compared with other measures. BioMed Central 2017-04-13 /pmc/articles/PMC5390392/ /pubmed/28407795 http://dx.doi.org/10.1186/s12889-017-4249-0 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Tang, Kun
Zhao, Yingxi
Li, Chunyan
The association between self-rated health and different anthropometric and body composition measures in the Chinese population
title The association between self-rated health and different anthropometric and body composition measures in the Chinese population
title_full The association between self-rated health and different anthropometric and body composition measures in the Chinese population
title_fullStr The association between self-rated health and different anthropometric and body composition measures in the Chinese population
title_full_unstemmed The association between self-rated health and different anthropometric and body composition measures in the Chinese population
title_short The association between self-rated health and different anthropometric and body composition measures in the Chinese population
title_sort association between self-rated health and different anthropometric and body composition measures in the chinese population
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5390392/
https://www.ncbi.nlm.nih.gov/pubmed/28407795
http://dx.doi.org/10.1186/s12889-017-4249-0
work_keys_str_mv AT tangkun theassociationbetweenselfratedhealthanddifferentanthropometricandbodycompositionmeasuresinthechinesepopulation
AT zhaoyingxi theassociationbetweenselfratedhealthanddifferentanthropometricandbodycompositionmeasuresinthechinesepopulation
AT lichunyan theassociationbetweenselfratedhealthanddifferentanthropometricandbodycompositionmeasuresinthechinesepopulation
AT tangkun associationbetweenselfratedhealthanddifferentanthropometricandbodycompositionmeasuresinthechinesepopulation
AT zhaoyingxi associationbetweenselfratedhealthanddifferentanthropometricandbodycompositionmeasuresinthechinesepopulation
AT lichunyan associationbetweenselfratedhealthanddifferentanthropometricandbodycompositionmeasuresinthechinesepopulation