Accelerometer-measured physical activity in Chinese adults.
BACKGROUND
Following adoption of a Western lifestyle, China is experiencing a decline in physical activity levels, which is projected to contribute to future increases in the burden of chronic diseases.


OBJECTIVE
This study aims to target public health interventions and identify personal characteristics associated with physical activity and sedentary behavior in urban Chinese adults.


METHODS
In a sample of 576 men and women aged 40-74 years from Shanghai, multiple logistic regression was used to examine demographic, anthropometric, and lifestyle factors in relation to levels of physical activity and sedentary behavior assessed by Actigraph accelerometers.


RESULTS
Participants spent 317 minutes/day in physical activity and 509 minutes/day sedentary. In multivariate models, people aged > or =60 years were significantly less likely than those aged <50 years to engage in physical activity (OR=0.29, 95% CI=0.17, 0.49) and more likely to spend time sedentary (OR=2.77, 95% CI=1.53, 5.05). Similarly, obese individuals were less likely to be physically active (OR=0.34, 95% CI=0.17, 0.66) and they were suggestively more likely to be sedentary (OR=1.87, 95% CI=0.94, 3.71) than normal-weight individuals. Furthermore, current cigarette smokers were less physically active than those who formerly or never smoked (OR=0.47, 95% CI=0.28, 0.78).


CONCLUSIONS
Physical activity promotion programs in urban China should target older people, obese individuals, and cigarette smokers, as these population subgroups exhibited low levels of physical activity.
Peters
Tricia M
TM
National Cancer Institute, Bethesda, Maryland, USA.
Moore
Steven C
SC
Xiang
Yong Bing
YB
Yang
Gong
G
Shu
Xiao Ou
XO
Ekelund
Ulf
U
Ji
Bu-Tian
BT
Tan
Yu Ting
YT
Liu
Da Ke
DK
Schatzkin
Arthur
A
Zheng
Wei
W
Chow
Wong Ho
WH
Matthews
Charles E
CE
Leitzmann
Michael F
MF
D000054:Acceleration; D000328:Adult; D000367:Age Factors; D000368:Aged; D002681:China; D015331:Cohort Studies; D005260:Female; D006801:Humans; D008019:Life Style; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D008991:Monitoring, Physiologic / Q000295:instrumentation; D009043:Motor Activity; D015999:Multivariate Analysis; D009765:Obesity / Q000453:epidemiology*; D011446:Prospective Studies; D012907:Smoking / Q000453:epidemiology*; D014505:Urban Population