title: The Association between Leisure-Time Physical Activity and Risk of Undetected Prediabetes.
abstract: Aims. The purpose of the study was to assess the effects of leisure-time physical activity on undetected prediabetes.Methods. Data from the National Health and Nutrition Examination Survey 2007-2012 were used in our analyses. Logistic regression was conducted to estimate the odds ratios (ORs) with 95% confidence intervals (CIs) of prediabetes associated with leisure-time physical activity.Results. A total of 8204 subjects were eligible for our analyses. For all subjects, high level of total leisure-time physical activity (OR = 0.78, 95% CI: 0.66, 0.94) and low level of vigorous leisure-time physical activity (OR = 0.72, 95% CI: 0.58, 0.90) were inversely associated with the risk of prediabetes in multivariate-adjusted model. For subjects under 45 years of age, high level of total leisure-time physical activity (OR = 0.78, 95% CI: 0.61, 0.99) and low (OR = 0.61, 95% CI: 0.45, 0.83) and high (OR = 0.72, 95% CI: 0.53, 1.00) level of vigorous leisure-time physical activity were associated with a decreased risk of prediabetes. In the 45 to 65 age group, only high level of total leisure-time physical activity (OR = 0.73, 95% CI: 0.57, 0.95) had protective effect on prediabetes.Conclusions. Leisure-time physical activity may be associated with a decreased risk of prediabetes.
authors.affiliation: Department of Epidemiology and Health Statistics, The Medical College of Qingdao University, No. 38 Dengzhou Road, Qingdao 266021, China.
authors.forename: Jia
authors.initials: J
authors.lastname: Wang
authors.affiliation: Department of Epidemiology and Health Statistics, The Medical College of Qingdao University, No. 38 Dengzhou Road, Qingdao 266021, China.
authors.forename: Yili
authors.initials: Y
authors.lastname: Wu
authors.affiliation: Department of Chronic Noncommunicable Diseases, Qingdao Centers for Disease Control and Prevention, Qingdao 266033, China.
authors.forename: Feng
authors.initials: F
authors.lastname: Ning
authors.affiliation: Department of Epidemiology and Health Statistics, The Medical College of Qingdao University, No. 38 Dengzhou Road, Qingdao 266021, China.
authors.forename: Chaoying
authors.initials: C
authors.lastname: Zhang
authors.affiliation: Department of Epidemiology and Health Statistics, The Medical College of Qingdao University, No. 38 Dengzhou Road, Qingdao 266021, China.
authors.forename: Dongfeng
authors.identifier: 0000-0001-9308-9371
authors.initials: D
authors.lastname: Zhang
mesh_terms: D000328:Adult; D000368:Aged; D001786:Blood Glucose / Q000032:analysis; D001794:Blood Pressure; D015331:Cohort Studies; D003920:Diabetes Mellitus / Q000175:diagnosis*; D015444:Exercise; D005260:Female; D006801:Humans; D007899:Leisure Activities; D008297:Male; D008875:Middle Aged; D009749:Nutrition Surveys; D016017:Odds Ratio; D011236:Prediabetic State / Q000453:epidemiology*; D012044:Regression Analysis; D012307:Risk Factors; D014481:United States; D055815:Young Adult
chemical_list: D001786:Blood Glucose