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Patterns and correlates of physical activity: a cross-sectional study in urban Chinese women
BACKGROUND: Inactivity is a modifiable risk factor for many diseases. Rapid economic development in China has been associated with changes in lifestyle, including physical activity. The purpose of this study was to investigate the patterns and correlates of physical activity in middle-aged and elder...
Autores principales: | , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2007
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2020478/ https://www.ncbi.nlm.nih.gov/pubmed/17711585 http://dx.doi.org/10.1186/1471-2458-7-213 |
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author | Jurj, Adriana L Wen, Wanqing Gao, Yu-Tang Matthews, Charles E Yang, Gong Li, Hong-Lan Zheng, Wei Shu, Xiao-Ou |
author_facet | Jurj, Adriana L Wen, Wanqing Gao, Yu-Tang Matthews, Charles E Yang, Gong Li, Hong-Lan Zheng, Wei Shu, Xiao-Ou |
author_sort | Jurj, Adriana L |
collection | PubMed |
description | BACKGROUND: Inactivity is a modifiable risk factor for many diseases. Rapid economic development in China has been associated with changes in lifestyle, including physical activity. The purpose of this study was to investigate the patterns and correlates of physical activity in middle-aged and elderly women from urban Shanghai. METHODS: Study population consisted of 74,942 Chinese women, 40–70 years of age, participating in the baseline survey of the Shanghai Women's Health Study (1997–2000), an ongoing population-based cohort study. A validated, interviewer-administered physical activity questionnaire was used to collect information about several physical activity domains (exercise/sports, walking and cycling for transportation, housework). Correlations between physical activity domains were evaluated by Spearman rank-correlation coefficients. Associations between physical activity and socio-demographic and lifestyle factors were evaluated by odds ratios derived from logistic regression. RESULTS: While more than a third of study participants engaged in regular exercise, this form of activity contributed only about 10% to daily non-occupational energy expenditure. About two-thirds of women met current recommendations for lifestyle activity. Age was positively associated with participation in exercise/sports and housework. Dietary energy intake was positively associated with all physical activity domains. High socioeconomic status, unemployment (including retirement), history of chronic disease, small household, non-smoking status, alcohol and tea consumption, and ginseng intake were all positively associated with exercise participation. High socioeconomic status and small household were inversely associated with non-exercise activities. CONCLUSION: This study demonstrates that physical activity domains other than sports and exercise are important contributors to total energy expenditure in women. Correlates of physical activity are domain-specific. These findings provide important information for research on the health benefits of physical activity and have public health implications for designing interventions to promote participation in physical activity. |
format | Text |
id | pubmed-2020478 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-20204782007-10-13 Patterns and correlates of physical activity: a cross-sectional study in urban Chinese women Jurj, Adriana L Wen, Wanqing Gao, Yu-Tang Matthews, Charles E Yang, Gong Li, Hong-Lan Zheng, Wei Shu, Xiao-Ou BMC Public Health Research Article BACKGROUND: Inactivity is a modifiable risk factor for many diseases. Rapid economic development in China has been associated with changes in lifestyle, including physical activity. The purpose of this study was to investigate the patterns and correlates of physical activity in middle-aged and elderly women from urban Shanghai. METHODS: Study population consisted of 74,942 Chinese women, 40–70 years of age, participating in the baseline survey of the Shanghai Women's Health Study (1997–2000), an ongoing population-based cohort study. A validated, interviewer-administered physical activity questionnaire was used to collect information about several physical activity domains (exercise/sports, walking and cycling for transportation, housework). Correlations between physical activity domains were evaluated by Spearman rank-correlation coefficients. Associations between physical activity and socio-demographic and lifestyle factors were evaluated by odds ratios derived from logistic regression. RESULTS: While more than a third of study participants engaged in regular exercise, this form of activity contributed only about 10% to daily non-occupational energy expenditure. About two-thirds of women met current recommendations for lifestyle activity. Age was positively associated with participation in exercise/sports and housework. Dietary energy intake was positively associated with all physical activity domains. High socioeconomic status, unemployment (including retirement), history of chronic disease, small household, non-smoking status, alcohol and tea consumption, and ginseng intake were all positively associated with exercise participation. High socioeconomic status and small household were inversely associated with non-exercise activities. CONCLUSION: This study demonstrates that physical activity domains other than sports and exercise are important contributors to total energy expenditure in women. Correlates of physical activity are domain-specific. These findings provide important information for research on the health benefits of physical activity and have public health implications for designing interventions to promote participation in physical activity. BioMed Central 2007-08-21 /pmc/articles/PMC2020478/ /pubmed/17711585 http://dx.doi.org/10.1186/1471-2458-7-213 Text en Copyright © 2007 Jurj et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Jurj, Adriana L Wen, Wanqing Gao, Yu-Tang Matthews, Charles E Yang, Gong Li, Hong-Lan Zheng, Wei Shu, Xiao-Ou Patterns and correlates of physical activity: a cross-sectional study in urban Chinese women |
title | Patterns and correlates of physical activity: a cross-sectional study in urban Chinese women |
title_full | Patterns and correlates of physical activity: a cross-sectional study in urban Chinese women |
title_fullStr | Patterns and correlates of physical activity: a cross-sectional study in urban Chinese women |
title_full_unstemmed | Patterns and correlates of physical activity: a cross-sectional study in urban Chinese women |
title_short | Patterns and correlates of physical activity: a cross-sectional study in urban Chinese women |
title_sort | patterns and correlates of physical activity: a cross-sectional study in urban chinese women |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2020478/ https://www.ncbi.nlm.nih.gov/pubmed/17711585 http://dx.doi.org/10.1186/1471-2458-7-213 |
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