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dc.contributor.authorChen, Mu
dc.contributor.authorHe, Meian
dc.contributor.authorMin, Xinwen
dc.contributor.authorPan, An
dc.contributor.authorZhang, Xiaomin
dc.contributor.authorYao, Ping
dc.contributor.authorLi, Xiulou
dc.contributor.authorLiu, Yuewei
dc.contributor.authorYuan, Jing
dc.contributor.authorChen, Weihong
dc.contributor.authorZhou, Li
dc.contributor.authorFang, Weimin
dc.contributor.authorLiang, Yuan
dc.contributor.authorWang, Youjie
dc.contributor.authorMiao, Xiaoping
dc.contributor.authorLang, Mingjian
dc.contributor.authorZhang, Peng
dc.contributor.authorLi, Dongfeng
dc.contributor.authorGuo, Huan
dc.contributor.authorYang, Handong
dc.contributor.authorHu, Frank B.
dc.contributor.authorWu, Tangchun
dc.date.accessioned2013-08-01T23:59:38Z
dc.date.issued2013
dc.identifier.citationChen, Mu, Meian He, Xinwen Min, An Pan, Xiaomin Zhang, Ping Yao, Xiulou Li, et al. 2013. Different physical activity subtypes and risk of metabolic syndrome in middle-aged and older chinese people. PLoS ONE 8(1): e53258.en_US
dc.identifier.issn1932-6203en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:10908602
dc.description.abstractBackground: The prevalence of metabolic syndrome (MetS) is growing rapidly in China. Tai chi and dancing are common types of exercise among middle-aged and elderly Chinese. It remains unclear whether these activities are associated with a lower risk of MetS. Methodology/Principal Findings A total of 15,514 individuals (6,952 men, 8,562 women) aged 50 to 70 years from the Dongfeng-Tongji Cohort in Shiyan, China participated in a cross-sectional study. Physical activity and other lifestyle factors were assessed with semi-structured questionnaires during face-to-face interviews. MetS was defined by the current National Cholesterol Education Program/Adult treatment Panel III criteria for Asian Americans. The prevalence of MetS was 33.2% in the study population. In the multivariable-adjusted logistic regression analyses, total physical activity levels were monotonically associated with a lower odds of MetS [OR 0.75 comparing extreme quintiles, 95% confidence interval (CI) 0.66–0.86, P<0.001]. Compared with non-exercisers in a specific exercise type, jogging (OR 0.82, 95% CI 0.68–1.00, P = 0.046), tai chi (OR 0.72, 95% CI 0.60–0.88, P<0.001), and dancing (OR 0.56, 95% CI 0.47–0.67, P<0.001) were associated with significantly lower odds of MetS. Furthermore, each 1–h/week increment in tai chi and dancing was associated with a 5% (95% CI 2%–9%) and a 9% (95% CI 6%, 12%) lower risk of MetS. Conclusions/Significance: Jogging, tai chi and dancing are associated with a significantly lower risk of having MetS in middle-aged and older Chinese. Future intervention studies should consider the role of jogging, tai chi and dancing in preventing MetS.en_US
dc.language.isoen_USen_US
dc.publisherPublic Library of Scienceen_US
dc.relation.isversionofdoi:10.1371/journal.pone.0053258en_US
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC3538758/pdf/en_US
dash.licenseLAA
dc.subjectMedicineen_US
dc.subjectClinical Research Designen_US
dc.subjectCohort Studiesen_US
dc.subjectSurvey Researchen_US
dc.subjectEpidemiologyen_US
dc.subjectCardiovascular Disease Epidemiologyen_US
dc.subjectMetabolic Disordersen_US
dc.subjectNon-Clinical Medicineen_US
dc.subjectHealth Care Policyen_US
dc.subjectHealth Risk Analysisen_US
dc.subjectPublic Healthen_US
dc.subjectBehavioral and Social Aspects of Healthen_US
dc.subjectPreventive Medicineen_US
dc.subjectSports and Exercise Medicineen_US
dc.titleDifferent Physical Activity Subtypes and Risk of Metabolic Syndrome in Middle-Aged and Older Chinese Peopleen_US
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden_US
dc.relation.journalPLoS ONEen_US
dash.depositing.authorHu, Frank B.
dc.date.available2013-08-01T23:59:38Z
dc.identifier.doi10.1371/journal.pone.0053258*
dash.authorsorderedfalse
dash.contributor.affiliatedChen, Mu
dash.contributor.affiliatedPan, An
dash.contributor.affiliatedZhou, Li
dash.contributor.affiliatedLiang, Yuan
dash.contributor.affiliatedZhang, Peng
dash.contributor.affiliatedHu, Frank


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