title: Association between biologic outcomes and objectively measured physical activity accumulated in ≥ 10-minute bouts and <10-minute bouts.
abstract: OBJECTIVE
  Examine whether nonbout physical activity (i.e., <10 minutes' duration of physical activity [PA]) demonstrates a stronger association with health outcomes than bout physical activity (i.e., ≥ 10 minutes' duration).
  
  
  METHODS
  Cross-sectional study.
  
  
  METHODS
  NHANES 2003-2006.
  
  
  METHODS
  A total of 6321 participants ranging in age from 18 to 85 years.
  
  
  METHODS
  Objectively measured PA was assessed using accelerometry. A variety of health outcomes (e.g., triglyceride levels) were objectively measured, including an assessment of metabolic syndrome.
  
  
  METHODS
  Multivariate regression analyses examined the association between bouts and nonbouts on each of the biologic health outcomes. Additionally, differences in each of the biologic variables among those who met PA guidelines for both approaches were evaluated.
  
  
  RESULTS
  After adjustments, results were similar for both approaches. For example, the odds ratio (OR) for metabolic syndrome for nonbouts (OR, 1.89; p < .001) was similar to that for bouts (OR, 1.87; p  =  .002). With the exception of body mass index, similar values for the biologic variables were found between those meeting guidelines for the two PA approaches.
  
  
  CONCLUSIONS
  Engaging in nonbouts, as opposed to bouts of PA, is just as strongly associated with several biologic health outcomes, suggesting that adults who perceive themselves as having little time to exercise may still be able to enhance their health by adopting an active lifestyle approach.
authors.affiliation: Department of Exercise Science, Bellarmine University, Donna & Allan Lansing School of Nursing & Health Sciences, Louisville, KY 40205, USA. ploprinzi@bellarmine.edu
authors.forename: Paul D
authors.initials: PD
authors.lastname: Loprinzi
authors.forename: Bradley J
authors.initials: BJ
authors.lastname: Cardinal
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000368:Aged; D001786:Blood Glucose / Q000032:analysis; D008078:Cholesterol, LDL / Q000097:blood; D003430:Cross-Sectional Studies; D005260:Female; D006304:Health Status; D006801:Humans; D008297:Male; D024821:Metabolic Syndrome / Q000453:epidemiology; D008875:Middle Aged; D009043:Motor Activity / Q000502:physiology*; D009749:Nutrition Surveys; D012044:Regression Analysis; D012737:Sex Factors; D013997:Time Factors; D014280:Triglycerides / Q000097:blood; D014481:United States / Q000453:epidemiology; D055815:Young Adult
chemical_list: D001786:Blood Glucose; D008078:Cholesterol, LDL; D014280:Triglycerides