Document Detail


Advantage of distance- versus time-based estimates of walking in predicting adiposity.
MedLine Citation:
PMID:  22525767     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
PURPOSE: Physical activity recommendations are defined in terms of time spent being physically active (e.g., 30 min of brisk walking, 5 d · wk(-1)). However, walking volume may be more naturally assessed by distance than by time. Analyses were therefore performed to test whether time or distance provides the best metric for relating walking volume to estimated total and regional adiposity.
METHODS: Linear and logistic regression analyses were used to relate exercise dose to body mass index (BMI), body circumferences, and obesity in a cross-sectional sample of 12,384 female and 3434 male walkers who reported both usual distance walked and time spent walking per week on survey questionnaires. Metabolic equivalent hours per day (MET · h · d(-1), 1 MET = 3.5 mL O2 · kg(-1) · min(-1)) were calculated from the time and pace, or distance and pace, using published compendium values.
RESULTS: Average MET-hours per day walked was 37% greater when calculated from time spent walking versus usual distance in women and was 32% greater in men. Per MET-hours per day, declines in BMI and circumferences (slope ± SE) were nearly twice as great, or greater, for distance- versus time-derived estimates for kilograms per squared meter of BMI (females = -0.58 ± 0.03 vs -0.31 ± 0.02, males = -0.35 ± 0.04 vs -0.15 ± 0.02), centimeter of waist circumference (females = -1.42 ± 0.07 vs -0.72 ± 0.04, males = -0.96 ± 0.10 vs -0.45 ± 0.07), and reductions in the odds for total obesity (odds ratio: females = 0.72 vs 0.84, males = 0.84 vs 0.92) and abdominal obesity (females = 0.74 vs 0.85, males = 0.79 vs 0.91, all comparisons significant).
CONCLUSIONS: Distance walked may provide a better metric of walking volume for epidemiologic obesity research, and better public health targets for weight control, than walking duration. Additional research is required to determine whether these results, derived in a sample that regularly walks for exercise, apply more generally.
Authors:
Paul T Williams
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural    
Journal Detail:
Title:  Medicine and science in sports and exercise     Volume:  44     ISSN:  1530-0315     ISO Abbreviation:  Med Sci Sports Exerc     Publication Date:  2012 Sep 
Date Detail:
Created Date:  2012-08-17     Completed Date:  2013-06-11     Revised Date:  2013-10-17    
Medline Journal Info:
Nlm Unique ID:  8005433     Medline TA:  Med Sci Sports Exerc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1728-37     Citation Subset:  IM; S    
Affiliation:
Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA. ptwilliams@lbl.gov
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MeSH Terms
Descriptor/Qualifier:
Adiposity / physiology*
Aged
Body Composition
Body Mass Index
Cross-Sectional Studies
Female
Humans
Male
Middle Aged
Motor Activity / physiology*
Obesity / physiopathology*
Questionnaires
Regression Analysis
Time
Walking / physiology*
Grant Support
ID/Acronym/Agency:
HL094717/HL/NHLBI NIH HHS; R01 HL094717/HL/NHLBI NIH HHS
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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