title: Relationship between adiposity and pedometer-assessed ambulatory activity in adult, rural African women.
abstract: OBJECTIVE
  To investigate the association between adiposity and pedometry-assessed ambulation in a convenience sample of adult, rural black South African women.
  
  
  METHODS
  Pedometry data were collected over 7 days in 121 subjects. Adiposity measures included body mass index (BMI), waist circumference (WC) and percentage body fat (PBF).
  
  
  RESULTS
  Sedentarism (<5000 steps day(-1)) was found in 13.7%, while 39.7% were classified as accruing sufficient physical activity (>or=10 000 steps day(-1)). Significant associations (P<0.02) existed between steps day(-1) and adiposity measures (r=-0.22 to -0.23). After adjusting for age, only BMI remained significantly associated with steps day(-1) (r=-0.20, P=0.032). Significant age-adjusted linear trends were found across combined BMI-WC risk categories for steps day(-1) (P=0.036). Adjusting for age, motor vehicle access, education, use of tobacco products and comorbidities, BMI decreased 1.4 kg m(-2) per 5000 steps day(-1) (P=0.035), access to a motor vehicle within the household increased PBF by 4% (P=0.018), and compared with sedentarism, the risk of obesity (BMI >or=30 kg m(-2)) was 52% lower at 10 000 steps day(-1) (P=0.028).
  
  
  CONCLUSIONS
  Modest associations were found between adiposity and ambulation. Ambulation decreased the risk for obesity, while motor vehicle access was associated with increased adiposity levels.
authors.affiliation: Department of Kinesiology, Physical Activity Epidemiology Laboratory, University of Limpopo, Turfloop Campus, Polokwane, South Africa. ianc@ul.ac.za
authors.forename: I
authors.initials: I
authors.lastname: Cook
authors.forename: M
authors.initials: M
authors.lastname: Alberts
authors.forename: E V
authors.initials: EV
authors.lastname: Lambert
mesh_terms: D050154:Adiposity / Q000502:physiology*; D000293:Adolescent; D000328:Adult; D000886:Anthropometry; D015992:Body Mass Index; D003906:Developing Countries; D005260:Female; D006801:Humans; D008875:Middle Aged; D009043:Motor Activity; D018986:Motor Vehicles / Q000706:statistics & numerical data; D009765:Obesity / Q000209:etiology / Q000503:physiopathology / Q000517:prevention & control; D012307:Risk Factors; D012423:Rural Health / Q000706:statistics & numerical data*; D013019:South Africa; D055105:Waist Circumference; D016138:Walking / Q000502:physiology*; D055815:Young Adult