title: Assessment of leisure-time physical activity for the prediction of inflammatory status and cardiometabolic profile.
abstract: OBJECTIVE
  Associations of leisure-time physical activity (LTPA), commuting and total physical activity with inflammatory markers, insulin resistance and metabolic profile in individuals at high cardiometabolic risk were investigated.
  
  
  METHODS
  This was a cross-sectional study.
  
  
  METHODS
  A total of 193 prediabetic adults were compared according to physical activity levels measured by the international physical activity questionnaire; p for trend and logistic regression was employed.
  
  
  RESULTS
  The most active subset showed lower BMI and abdominal circumference, reaching significance only for LTPA (p for trend=0.02). Lipid profile improved with increased physical activity levels. Interleukin-6 decreased with increased total physical activity and LTPA (p for trend=0.02 and 0.03, respectively), while adiponectin increased in more active subsets for LTPA (p for trend=0.03). Elevation in adjusted OR for hypercholesterolemia was significant for lower LTPA durations (p for trend=0.04). High apolipoprotein B/apolipoprotein A ratio was inversely associated with LTPA, commuting and total physical activity. Increase in adjusted OR for insulin resistance was found from the highest to the lowest category of LTPA (p for trend=0.04) but significance disappeared after adjustments for BMI and energy intake. No association of increased C-reactive protein with physical activity domains was observed.
  
  
  CONCLUSIONS
  In general, the associations of LTPA, but not commuting or total physical activity, with markers of cardiometabolic risk reinforces the importance of initiatives to increase this domain in programs for the prevention of lifestyle-related diseases.
authors.affiliation: Department of Nutrition, School of Public Health, University of São Paulo, Brazil.
authors.forename: Milena Monfort
authors.initials: MM
authors.lastname: Pires
authors.forename: Emanuel P
authors.initials: EP
authors.lastname: Salvador
authors.forename: Antonela
authors.initials: A
authors.lastname: Siqueira-Catania
authors.forename: Luciana D
authors.initials: LD
authors.lastname: Folchetti
authors.forename: Adriana
authors.initials: A
authors.lastname: Cezaretto
authors.forename: Sandra Roberta G
authors.initials: SR
authors.lastname: Ferreira
mesh_terms: D052242:Adiponectin / Q000097:blood / Q000502:physiology; D000328:Adult; D000368:Aged; D001054:Apolipoproteins A / Q000097:blood / Q000502:physiology; D001055:Apolipoproteins B / Q000097:blood / Q000502:physiology; D015992:Body Mass Index; D002097:C-Reactive Protein / Q000032:analysis / Q000502:physiology; D003430:Cross-Sectional Studies; D003625:Data Collection / Q000706:statistics & numerical data; D002149:Energy Intake / Q000502:physiology; D005260:Female; D006801:Humans; D006937:Hypercholesterolemia / Q000097:blood / Q000453:epidemiology; D007249:Inflammation / Q000097:blood / Q000503:physiopathology*; D007333:Insulin Resistance / Q000502:physiology; D015850:Interleukin-6 / Q000097:blood / Q000502:physiology; D007899:Leisure Activities; D008055:Lipids / Q000097:blood / Q000502:physiology; D008297:Male; D008875:Middle Aged; D009043:Motor Activity / Q000502:physiology*; D009206:Myocardium / Q000378:metabolism*; D011236:Prediabetic State / Q000097:blood / Q000453:epidemiology; D014186:Transportation / Q000706:statistics & numerical data
chemical_list: D052242:Adiponectin; D001054:Apolipoproteins A; D001055:Apolipoproteins B; C508600:IL6 protein, human; D015850:Interleukin-6; D008055:Lipids; D002097:C-Reactive Protein