title: Benefits of pedometer-measured habitual physical activity in healthy women.
abstract: This cross-sectional study aimed at (i) characterizing pedometer-determined physical activity and (ii) examining its associations with dietary intake and anthropometric and metabolic profile in healthy women. Anthropometric and metabolic profile was evaluated in 68 healthy women of reproductive age. Habitual physical activity was assessed using a pedometer for 6 consecutive days, including weekends. Participants were stratified into active and inactive according to the mean steps·day(-1) (≥6000 and <6000, respectively). Food consumption was evaluated by 24-h recall in a subsample of 35 participants. Thirty-eight women were defined as active and had significantly lower body mass index (BMI), fat percentage, waist circumference, sum of skinfold thickness, insulin, and HOMA than the sedentary group. Mean BMI was 27 kg·m(-2) (overweight) in active participants and 31 kg·m(-2) (class I obesity) in inactive participants. Active women consumed more carbohydrates (55.5% ± 9.4% vs. 46.3% ± 7.6%) and calories (2138 ± 679 vs. 1664 ± 558 kcal), and less protein (15.4% ± 4.2% vs. 19.9% ± 5.8%) and lipids (29.0% ± 7.2% vs. 33.8% ± 6.2%) than inactive individuals (p < 0.05). Fiber, cholesterol, and fatty acid intake was similar in both groups. The number of steps was lower on Sunday than on weekdays for the overall group. Using a pedometer for 3 days was sufficient to determine habitual physical activity (sensitivity: 94%; specificity 91% vs. 6 days of pedometer use). In the present study, nonstructured physical activity was associated with more adequate dietary consumption and contributed toward a healthier anthropometric and metabolic profile in young women, despite the high prevalence of overweight.
authors.affiliation: Division of Endocrinology, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
authors.forename: Scheila Karen
authors.initials: SK
authors.lastname: Graff
authors.forename: Bruna Cherubini
authors.initials: BC
authors.lastname: Alves
authors.forename: Mariana Kirjner
authors.initials: MK
authors.lastname: Toscani
authors.forename: Poli Mara
authors.initials: PM
authors.lastname: Spritzer
mesh_terms: D056044:Actigraphy / Q000295:instrumentation*; D050154:Adiposity; D000328:Adult; D000704:Analysis of Variance; D015415:Biomarkers / Q000097:blood; D001786:Blood Glucose / Q000032:analysis; D015992:Body Mass Index; D001938:Brazil; D003430:Cross-Sectional Studies; D004435:Eating; D004734:Energy Metabolism; D005260:Female; D006184:Habits; D015438:Health Behavior; D006304:Health Status; D006801:Humans; D007328:Insulin / Q000097:blood; D008055:Lipids / Q000097:blood; D009043:Motor Activity; D012885:Skinfold Thickness; D013997:Time Factors; D055105:Waist Circumference; D016387:Women's Health; D055815:Young Adult
chemical_list: D015415:Biomarkers; D001786:Blood Glucose; D007328:Insulin; D008055:Lipids