Cargando…

Patterns and socio-demographic correlates of domain-specific physical activities and their associations with adiposity in the China Kadoorie Biobank study

BACKGROUND: Domain-specific physical activities may have different correlates and health effects, but few large studies have examined these questions, especially their separate associations with adiposity. METHODS: We analysed cross-sectional data of 466 605 adults without any prior chronic diseases...

Descripción completa

Detalles Bibliográficos
Autores principales: Du, Huaidong, Li, Liming, Whitlock, Gary, Bennett, Derrick, Guo, Yu, Bian, Zheng, Chen, Junshi, Sherliker, Paul, Huang, Ying, Zhang, Ningmei, Zheng, Xiangyang, Li, Zhongxiao, Hu, Ruying, Collins, Rory, Peto, Richard, Chen, Zhengming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4138397/
https://www.ncbi.nlm.nih.gov/pubmed/25106853
http://dx.doi.org/10.1186/1471-2458-14-826
_version_ 1782331229549363200
author Du, Huaidong
Li, Liming
Whitlock, Gary
Bennett, Derrick
Guo, Yu
Bian, Zheng
Chen, Junshi
Sherliker, Paul
Huang, Ying
Zhang, Ningmei
Zheng, Xiangyang
Li, Zhongxiao
Hu, Ruying
Collins, Rory
Peto, Richard
Chen, Zhengming
author_facet Du, Huaidong
Li, Liming
Whitlock, Gary
Bennett, Derrick
Guo, Yu
Bian, Zheng
Chen, Junshi
Sherliker, Paul
Huang, Ying
Zhang, Ningmei
Zheng, Xiangyang
Li, Zhongxiao
Hu, Ruying
Collins, Rory
Peto, Richard
Chen, Zhengming
author_sort Du, Huaidong
collection PubMed
description BACKGROUND: Domain-specific physical activities may have different correlates and health effects, but few large studies have examined these questions, especially their separate associations with adiposity. METHODS: We analysed cross-sectional data of 466 605 adults without any prior chronic diseases, enrolled during 2004–8, from 10 diverse localities across China. Physical activity level in each of 4 domains (occupation, commuting, household, and active-recreation), calculated as metabolic equivalent (MET)-hr/day, was related to social-demographic factors and measures of adiposity (body mass index [BMI], waist circumference [WC], and bio-impedance derived percentage body fat), using multivariable linear and logistic regression models. RESULTS: The overall mean age was 50.8 years. The mean total physical activity was 21.7 MET-hr/day, mainly from occupation (62%) and household chores (26%), but little from active-recreation (4%), with women having a much higher household activity than men. Older participants had a lower level of occupational activity but a higher level of household and active-recreational activity, particularly after retirement. There was no linear association of occupational activity with adiposity, but working women tended to have a lower adiposity (e.g. 1.0 cm WC) than non-working women. In men, there was an inverse and apparently linear association between adiposity and levels of both commuting-related and household activities, with 3 MET-hr/day associated with -0.11 and -0.13 kg/m(2) BMI, -0.42 and -0.62 cm WC, and -0.28 and -0.33 percentage points of body fat, respectively. In women, only household activity showed a linear, but weaker, association with adiposity. A higher adiposity was observed among men and women with higher levels of active-recreational activity. CONCLUSIONS: In Chinese adults, physical activity mainly involves occupation and housework, with little from active-recreational activity. Domain-specific physical activities varied by socio-demographic factors and had different associations with adiposity. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2458-14-826) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-4138397
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-41383972014-08-21 Patterns and socio-demographic correlates of domain-specific physical activities and their associations with adiposity in the China Kadoorie Biobank study Du, Huaidong Li, Liming Whitlock, Gary Bennett, Derrick Guo, Yu Bian, Zheng Chen, Junshi Sherliker, Paul Huang, Ying Zhang, Ningmei Zheng, Xiangyang Li, Zhongxiao Hu, Ruying Collins, Rory Peto, Richard Chen, Zhengming BMC Public Health Research Article BACKGROUND: Domain-specific physical activities may have different correlates and health effects, but few large studies have examined these questions, especially their separate associations with adiposity. METHODS: We analysed cross-sectional data of 466 605 adults without any prior chronic diseases, enrolled during 2004–8, from 10 diverse localities across China. Physical activity level in each of 4 domains (occupation, commuting, household, and active-recreation), calculated as metabolic equivalent (MET)-hr/day, was related to social-demographic factors and measures of adiposity (body mass index [BMI], waist circumference [WC], and bio-impedance derived percentage body fat), using multivariable linear and logistic regression models. RESULTS: The overall mean age was 50.8 years. The mean total physical activity was 21.7 MET-hr/day, mainly from occupation (62%) and household chores (26%), but little from active-recreation (4%), with women having a much higher household activity than men. Older participants had a lower level of occupational activity but a higher level of household and active-recreational activity, particularly after retirement. There was no linear association of occupational activity with adiposity, but working women tended to have a lower adiposity (e.g. 1.0 cm WC) than non-working women. In men, there was an inverse and apparently linear association between adiposity and levels of both commuting-related and household activities, with 3 MET-hr/day associated with -0.11 and -0.13 kg/m(2) BMI, -0.42 and -0.62 cm WC, and -0.28 and -0.33 percentage points of body fat, respectively. In women, only household activity showed a linear, but weaker, association with adiposity. A higher adiposity was observed among men and women with higher levels of active-recreational activity. CONCLUSIONS: In Chinese adults, physical activity mainly involves occupation and housework, with little from active-recreational activity. Domain-specific physical activities varied by socio-demographic factors and had different associations with adiposity. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2458-14-826) contains supplementary material, which is available to authorized users. BioMed Central 2014-08-09 /pmc/articles/PMC4138397/ /pubmed/25106853 http://dx.doi.org/10.1186/1471-2458-14-826 Text en © Du et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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
Du, Huaidong
Li, Liming
Whitlock, Gary
Bennett, Derrick
Guo, Yu
Bian, Zheng
Chen, Junshi
Sherliker, Paul
Huang, Ying
Zhang, Ningmei
Zheng, Xiangyang
Li, Zhongxiao
Hu, Ruying
Collins, Rory
Peto, Richard
Chen, Zhengming
Patterns and socio-demographic correlates of domain-specific physical activities and their associations with adiposity in the China Kadoorie Biobank study
title Patterns and socio-demographic correlates of domain-specific physical activities and their associations with adiposity in the China Kadoorie Biobank study
title_full Patterns and socio-demographic correlates of domain-specific physical activities and their associations with adiposity in the China Kadoorie Biobank study
title_fullStr Patterns and socio-demographic correlates of domain-specific physical activities and their associations with adiposity in the China Kadoorie Biobank study
title_full_unstemmed Patterns and socio-demographic correlates of domain-specific physical activities and their associations with adiposity in the China Kadoorie Biobank study
title_short Patterns and socio-demographic correlates of domain-specific physical activities and their associations with adiposity in the China Kadoorie Biobank study
title_sort patterns and socio-demographic correlates of domain-specific physical activities and their associations with adiposity in the china kadoorie biobank study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4138397/
https://www.ncbi.nlm.nih.gov/pubmed/25106853
http://dx.doi.org/10.1186/1471-2458-14-826
work_keys_str_mv AT duhuaidong patternsandsociodemographiccorrelatesofdomainspecificphysicalactivitiesandtheirassociationswithadiposityinthechinakadooriebiobankstudy
AT liliming patternsandsociodemographiccorrelatesofdomainspecificphysicalactivitiesandtheirassociationswithadiposityinthechinakadooriebiobankstudy
AT whitlockgary patternsandsociodemographiccorrelatesofdomainspecificphysicalactivitiesandtheirassociationswithadiposityinthechinakadooriebiobankstudy
AT bennettderrick patternsandsociodemographiccorrelatesofdomainspecificphysicalactivitiesandtheirassociationswithadiposityinthechinakadooriebiobankstudy
AT guoyu patternsandsociodemographiccorrelatesofdomainspecificphysicalactivitiesandtheirassociationswithadiposityinthechinakadooriebiobankstudy
AT bianzheng patternsandsociodemographiccorrelatesofdomainspecificphysicalactivitiesandtheirassociationswithadiposityinthechinakadooriebiobankstudy
AT chenjunshi patternsandsociodemographiccorrelatesofdomainspecificphysicalactivitiesandtheirassociationswithadiposityinthechinakadooriebiobankstudy
AT sherlikerpaul patternsandsociodemographiccorrelatesofdomainspecificphysicalactivitiesandtheirassociationswithadiposityinthechinakadooriebiobankstudy
AT huangying patternsandsociodemographiccorrelatesofdomainspecificphysicalactivitiesandtheirassociationswithadiposityinthechinakadooriebiobankstudy
AT zhangningmei patternsandsociodemographiccorrelatesofdomainspecificphysicalactivitiesandtheirassociationswithadiposityinthechinakadooriebiobankstudy
AT zhengxiangyang patternsandsociodemographiccorrelatesofdomainspecificphysicalactivitiesandtheirassociationswithadiposityinthechinakadooriebiobankstudy
AT lizhongxiao patternsandsociodemographiccorrelatesofdomainspecificphysicalactivitiesandtheirassociationswithadiposityinthechinakadooriebiobankstudy
AT huruying patternsandsociodemographiccorrelatesofdomainspecificphysicalactivitiesandtheirassociationswithadiposityinthechinakadooriebiobankstudy
AT collinsrory patternsandsociodemographiccorrelatesofdomainspecificphysicalactivitiesandtheirassociationswithadiposityinthechinakadooriebiobankstudy
AT petorichard patternsandsociodemographiccorrelatesofdomainspecificphysicalactivitiesandtheirassociationswithadiposityinthechinakadooriebiobankstudy
AT chenzhengming patternsandsociodemographiccorrelatesofdomainspecificphysicalactivitiesandtheirassociationswithadiposityinthechinakadooriebiobankstudy
AT patternsandsociodemographiccorrelatesofdomainspecificphysicalactivitiesandtheirassociationswithadiposityinthechinakadooriebiobankstudy