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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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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 |
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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 |
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