Accelerometer-Measured Physical Activity in Chinese Adults

被引:92
作者
Peters, Tricia M. [2 ,3 ]
Moore, Steven C. [2 ]
Xiang, Yong Bing [4 ]
Yang, Gong [5 ]
Shu, Xiao Ou [5 ]
Ekelund, Ulf [3 ]
Ji, Bu-Tian [2 ]
Tan, Yu Ting [4 ]
Liu, Da Ke [4 ]
Schatzkin, Arthur [2 ]
Zheng, Wei [5 ]
Chow, Wong Ho [2 ]
Matthews, Charles E. [2 ]
Leitzmann, Michael F. [1 ]
机构
[1] Univ Regensburg, Dept Epidemiol & Prevent Med, Med Ctr, D-93042 Regensburg, Germany
[2] NCI, Div Canc Epidemiol & Genet, Bethesda, MD 20892 USA
[3] Inst Metab Sci, MRC, Epidemiol Unit, Cambridge, England
[4] Shanghai Canc Inst, Shanghai, Peoples R China
[5] Vanderbilt Univ, Inst Med & Publ Hlth, Vanderbilt Epidemiol Ctr,Sch Med, Vanderbilt Ingram Canc Ctr,Dept Med,Div Epidemiol, Nashville, TN 37212 USA
基金
英国医学研究理事会;
关键词
BODY-MASS INDEX; LEISURE-TIME; ACTIVITY PATTERNS; UNITED-STATES; INACTIVITY; VALIDITY; POPULATION; OBESITY; HEALTH; RELIABILITY;
D O I
10.1016/j.amepre.2010.02.012
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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. Purpose: 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 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. (Am J Prey Med 2010;38(6):583-591) Published by Elsevier Inc. on behalf of American Journal of Preventive Medicine
引用
收藏
页码:583 / 591
页数:9
相关论文
共 51 条
[1]   Moderate physical activity patterns of minority women: The cross-cultural activity participation study [J].
Ainsworth, BE ;
Irwin, ML ;
Addy, CL ;
Whitt, MC ;
Stolarczyk, LM .
JOURNAL OF WOMENS HEALTH & GENDER-BASED MEDICINE, 1999, 8 (06) :805-813
[2]   Compendium of Physical Activities: an update of activity codes and MET intensities [J].
Ainsworth, BE ;
Haskell, WL ;
Whitt, MC ;
Irwin, ML ;
Swartz, AM ;
Strath, SJ ;
O'Brien, WL ;
Bassett, DR ;
Schmitz, KH ;
Emplaincourt, PO ;
Jacobs, DR ;
Leon, AS .
MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2000, 32 (09) :S498-S516
[3]   Physical Activity Questionnaire Comprehension: Lessons from Cognitive Interviews [J].
Altschuler, Andrea ;
Picchi, Teresa ;
Nelson, Melissa ;
Rogers, John D. ;
Hart, Jan ;
Sternfeld, Barbara .
MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2009, 41 (02) :336-343
[4]   Adherence to physical activity recommendations and the influence of socio-demographic correlates - a population-based cross-sectional study [J].
Bergman, Patrick ;
Grjibovski, Andrej M. ;
Hagstroemer, Maria ;
Bauman, Adrian ;
Sjoestroem, Michael .
BMC PUBLIC HEALTH, 2008, 8 (1)
[5]   A cross-sectional analysis of physical activity and obesity indicators in European participants of the EPIC-PANACEA study [J].
Besson, H. ;
Ekelund, U. ;
Luan, J. ;
May, A. M. ;
Sharp, S. ;
Travier, N. ;
Agudo, A. ;
Slimani, N. ;
Rinaldi, S. ;
Jenab, M. ;
Norat, T. ;
Mouw, T. ;
Rohrmann, S. ;
Kaaks, R. ;
Bergmann, M. ;
Boeing, H. ;
Clavel-Chapelon, F. ;
Boutron-Ruault, M. C. ;
Overvad, K. ;
Andreasen, E. L. ;
Johnsen, N. Fons ;
Halkjaer, J. ;
Gonzalez, C. ;
Rodriguez, L. ;
Sanchez, M. J. ;
Arriola, L. ;
Barricarte, A. ;
Navarro, C. ;
Key, T. J. ;
Spencer, E. A. ;
Orfanos, P. ;
Naska, A. ;
Trichopoulou, A. ;
Manjer, J. ;
Wirfaelt, E. ;
Lund, E. ;
Palli, D. ;
Agnoli, C. ;
Vineis, P. ;
Panico, S. ;
Tumino, R. ;
Bueno-de-Mesquita, H. B. ;
van den Berg, S. W. ;
Odysseos, A. D. ;
Riboli, E. ;
Wareham, N. J. ;
Peeters, P. H. .
INTERNATIONAL JOURNAL OF OBESITY, 2009, 33 (04) :497-506
[6]   Energy expenditure determined by self-reported physical activity is related to body fatness [J].
Buchowski, MS ;
Townsend, KM ;
Chen, KY ;
Acra, SA ;
Sun, M .
OBESITY RESEARCH, 1999, 7 (01) :23-33
[7]   Validity and reliability of measures of television viewing time and other non-occupational sedentary behaviour of adults: a review [J].
Clark, Bronwyn K. ;
Sugiyama, Takemi ;
Healy, Genevieve N. ;
Salmon, Jo ;
Dunstan, David W. ;
Owen, Neville .
OBESITY REVIEWS, 2009, 10 (01) :7-16
[8]   Race/ethnicity, social class and their relation to physical inactivity during leisure time: Results from the Third National Health and Nutrition Examination Survey, 1988-1994 [J].
Crespo, CJ ;
Smit, E ;
Andersen, RE ;
Carter-Pokras, O ;
Ainsworth, BE .
AMERICAN JOURNAL OF PREVENTIVE MEDICINE, 2000, 18 (01) :46-53
[9]   Activities contributing to total energy expenditure in the United States: Results from the NHAPS study [J].
Dong L. ;
Block G. ;
Mandel S. .
International Journal of Behavioral Nutrition and Physical Activity, 1 (1)
[10]   Exercise does not feel the same when you are overweight: the impact of self-selected and imposed intensity on affect and exertion [J].
Ekkekakis, P ;
Lind, E .
INTERNATIONAL JOURNAL OF OBESITY, 2006, 30 (04) :652-660