Literature DB >> 23249564

Steps that count: the association between the number and intensity of steps accumulated and fitness and health measures.

Julian David Pillay1, Tracy Lynn Kolbe-Alexander, Willem van Mechelen, Estelle Victoria Lambert.   

Abstract

BACKGROUND: Pedometer-based recommendations for accumulating steps/d largely focus on volume, with less emphasis on intensity and fitness/health outcomes. We aim to examine this relationship.
METHODS: A convenience sample (N = 70, 35 men, 32 ± 8yrs) wore a pedometer (4 days). The pedometer classified steps as "aerobic" (≥ 60 steps/minute, minimum duration of 1 minute) or "non-aerobic" (< 60 steps/minute and/or < 1 minute). Estimated maximal oxygen uptake (VO2max), derived from a 12-minute submaximal step-test, and health outcomes: blood pressure (BP), body mass index (BMI), percentage body fat (%BF), and waist circumference (WC) were correlated with pedometer data. Participants were grouped according to number and intensity of steps: LOW (< 5000 steps/d), HIGH-LOW (≥ 5000 steps/d, no aerobic steps), HIGH-HIGH (≥ 5000 steps/d, including some aerobic steps). Analyses of covariance, adjusting for age, gender, and total steps/d were used to compare groups.
RESULTS: Average steps/d was 6520 ± 2306. Total steps/d and total time spent accumulating "aerobic" steps (minutes/day) were inversely associated with %BF, BMI, WC, and systolic BP (P < .05). After adjusting for gender and total steps/d, %BF was different between all 3 groups, VO2max was different between the LOW and HIGH-HIGH groups, WC was lower in the HIGH-HIGH versus the other 2 groups (P < .03, respectively).
CONCLUSION: Intensity seems an important factor to consider in steps/d cut-points.

Entities:  

Mesh:

Year:  2012        PMID: 23249564     DOI: 10.1123/jpah.2011-0288

Source DB:  PubMed          Journal:  J Phys Act Health        ISSN: 1543-3080


  13 in total

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3.  The association between daily steps and health, and the mediating role of body composition: a pedometer-based, cross-sectional study in an employed South African population.

Authors:  Julian D Pillay; Hidde P van der Ploeg; Tracy L Kolbe-Alexander; Karin I Proper; Maartje van Stralen; Simone A Tomaz; Willem van Mechelen; Estelle V Lambert
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7.  Steps that count! The development of a pedometer-based health promotion intervention in an employed, health insured South African population.

Authors:  Julian D Pillay; Tracy L Kolbe-Alexander; Karin I Proper; Willem van Mechelen; Estelle V Lambert
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10.  Statistical methods to model and evaluate physical activity programs, using step counts: A systematic review.

Authors:  S S M Silva; Madawa W Jayawardana; Denny Meyer
Journal:  PLoS One       Date:  2018-11-02       Impact factor: 3.240

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