INTRODUCTION: Physical activity (PA) is inversely related to the risk of many chronic diseases. Understanding PA patterns and their correlates thus has significant public health implications. METHODS: We evaluated PA patterns and their association with socioeconomic status and lifestyle factors in the Shanghai Men's Health Study (SMHS), a cohort of 61,582 Chinese men (participation rate: 74.1%) ages 40-74 living in eight communities of urban Shanghai, China. Information on PA from exercise, household chores, and walking and bicycling for transportation and daily living activities was collected by in-person interviews using a validated questionnaire. Logistic regression analyses were conducted. RESULTS: Participation in exercise was reported by 35.6% of study participants, walking and cycling for transportation by 22.6% and 23.5%, and walking and cycling for daily living activities by 99.9% and 24.5%. Nine percent had high-PA jobs. All kinds of PA, except household chores, were more common in older men. Education and income levels were positively associated with exercise and housework but inversely associated with transportation and daily living activities. Men with higher BMI participated in more exercise, whereas those with higher waist-to-hip ratio (WHR) were less active in all kinds of PA. Current smokers, particularly heavy smokers, were less active in all kinds of PA compared with former smokers and nonsmokers. Current alcohol drinkers, tea drinkers, and ginseng users were more likely to participate in exercise but less likely to participate in nonexercise PA. Total energy intake was positively associated with PA, except for household chores. CONCLUSIONS: Despite low participation in exercise/sports, most middle-aged and elderly Chinese men in Shanghai participate in a high level of nonexercise PA. Their PA patterns are closely associated with socioeconomic/lifestyle factors.
INTRODUCTION: Physical activity (PA) is inversely related to the risk of many chronic diseases. Understanding PA patterns and their correlates thus has significant public health implications. METHODS: We evaluated PA patterns and their association with socioeconomic status and lifestyle factors in the Shanghai Men's Health Study (SMHS), a cohort of 61,582 Chinese men (participation rate: 74.1%) ages 40-74 living in eight communities of urban Shanghai, China. Information on PA from exercise, household chores, and walking and bicycling for transportation and daily living activities was collected by in-person interviews using a validated questionnaire. Logistic regression analyses were conducted. RESULTS: Participation in exercise was reported by 35.6% of study participants, walking and cycling for transportation by 22.6% and 23.5%, and walking and cycling for daily living activities by 99.9% and 24.5%. Nine percent had high-PA jobs. All kinds of PA, except household chores, were more common in older men. Education and income levels were positively associated with exercise and housework but inversely associated with transportation and daily living activities. Men with higher BMI participated in more exercise, whereas those with higher waist-to-hip ratio (WHR) were less active in all kinds of PA. Current smokers, particularly heavy smokers, were less active in all kinds of PA compared with former smokers and nonsmokers. Current alcohol drinkers, tea drinkers, and ginseng users were more likely to participate in exercise but less likely to participate in nonexercise PA. Total energy intake was positively associated with PA, except for household chores. CONCLUSIONS: Despite low participation in exercise/sports, most middle-aged and elderly Chinese men in Shanghai participate in a high level of nonexercise PA. Their PA patterns are closely associated with socioeconomic/lifestyle factors.
Authors: R Villegas; Y B Xiang; H Cai; T Elasy; Q Cai; X Zhang; S Fazio; M F Linton; H Li; W H Xu; G Yang; W Zheng; X-O Shu Journal: Nutr Metab Cardiovasc Dis Date: 2010-11-25 Impact factor: 4.222
Authors: Lisa Gallicchio; Kathy J Helzlsouer; Wong-Ho Chow; D Michal Freedman; Susan E Hankinson; Patricia Hartge; Virginia Hartmuller; Chinonye Harvey; Richard B Hayes; Ronald L Horst; Karen L Koenig; Laurence N Kolonel; Francine Laden; Marjorie L McCullough; Dominick Parisi; Mark P Purdue; Xiao-Ou Shu; Kirk Snyder; Rachael Z Stolzenberg-Solomon; Shelley S Tworoger; Arti Varanasi; Jarmo Virtamo; Lynne R Wilkens; Yong-Bing Xiang; Kai Yu; Anne Zeleniuch-Jacquotte; Wei Zheng; Christian C Abnet; Demetrius Albanes; Kimberly Bertrand; Stephanie J Weinstein Journal: Am J Epidemiol Date: 2010-06-18 Impact factor: 4.897
Authors: Rachael Z Stolzenberg-Solomon; Eric J Jacobs; Alan A Arslan; Dai Qi; Alpa V Patel; Kathy J Helzlsouer; Stephanie J Weinstein; Marjorie L McCullough; Mark P Purdue; Xiao-Ou Shu; Kirk Snyder; Jarmo Virtamo; Lynn R Wilkins; Kai Yu; Anne Zeleniuch-Jacquotte; Wei Zheng; Demetrius Albanes; Qiuyin Cai; Chinonye Harvey; Richard Hayes; Sandra Clipp; Ronald L Horst; Lonn Irish; Karen Koenig; Loic Le Marchand; Laurence N Kolonel Journal: Am J Epidemiol Date: 2010-06-18 Impact factor: 4.897
Authors: Ei Ei Khaing Nang; Eric Y H Khoo; Agus Salim; E Shyong Tai; Jeannette Lee; Rob M Van Dam Journal: BMC Public Health Date: 2010-10-25 Impact factor: 3.295
Authors: Tricia M Peters; Steven C Moore; Yong Bing Xiang; Gong Yang; Xiao Ou Shu; Ulf Ekelund; Bu-Tian Ji; Yu Ting Tan; Da Ke Liu; Arthur Schatzkin; Wei Zheng; Wong Ho Chow; Charles E Matthews; Michael F Leitzmann Journal: Am J Prev Med Date: 2010-06 Impact factor: 5.043