Literature DB >> 20594908

Impact of scoring algorithm on physical activity prevalence estimates in Australian adults.

Nicole M Mealing1, Heather R Bowles, Dafna Merom, Adrian Bauman.   

Abstract

Public health recommendations for physical activity are operationalised by defining thresholds for frequency (sessions/week), duration (min/week), or volume (MET-min/week). This study compared estimates of meeting physical activity recommendations when scoring algorithms varied in specifications for frequency and duration but were comparable in volume. Data were obtained from 13,105 Australian adult respondents to the 2006 Exercise, Recreation and Sport Survey (ERASS). Prevalence estimates were calculated using algorithms defined by (i) frequency only (≥5 sessions/week); (ii) duration only (≥150 min/week); (iii) duration only when minutes of vigorous activity were weighted by 2 (≥150 weighted-min/week); (iv) frequency and duration (≥5 sessions/week, ≥150 min/week); (v) volume only (≥600 MET-min/week); and (vi) volume and frequency (≥600 MET-min/week, ≥5 sessions/week). The proportion of adults who met recommendations operationalised without a frequency requirement was twice the proportions obtained for algorithms with frequency requirements. Volume or duration-based algorithms yielded higher estimates for men than women, and for the younger age groups (<35 years) than the older groups, with the opposite observation for frequency-based algorithms. Consistent for all algorithms, people classified at the highest educational attainment had the highest prevalence of meeting recommendations. Agreement in achieving 600 MET-min/week when activities were categorised using activity-specific MET values versus median MET values was 98.3%. Prevalence rates based on 600 MET-min/week were similar to 150 weighted-min/week. In conclusion, varying frequency and duration requirements of scoring algorithms can yield different population estimates and patterns by population subgroup of physical activity for a health benefit.
Copyright © 2010 Sports Medicine Australia. All rights reserved.

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Year:  2010        PMID: 20594908     DOI: 10.1016/j.jsams.2010.05.003

Source DB:  PubMed          Journal:  J Sci Med Sport        ISSN: 1878-1861            Impact factor:   4.319


  5 in total

1.  The MOVE study: a study protocol for a randomised controlled trial assessing interventions to maximise attendance at physical activity facilities.

Authors:  Joshua D Newton; Ruth Klein; Adrian Bauman; Fiona J Newton; Ajay Mahal; Kara Gilbert; Leon Piterman; Michael T Ewing; Robert J Donovan; Ben J Smith
Journal:  BMC Public Health       Date:  2015-04-18       Impact factor: 3.295

2.  Seasonal Variations in Physical Activity Domains among Rural and Urban Bangladeshis Using a Culturally Relevant Past Year Physical Activity Questionnaire (PYPAQ).

Authors:  Shirin Jahan Mumu; Paul P Fahey; Liaquat Ali; A K M Fazlur Rahman; Dafna Merom
Journal:  J Environ Public Health       Date:  2019-10-13

3.  Questionnaire choice affects the prevalence of recommended physical activity: an online survey comparing four measuring instruments within the same sample.

Authors:  Gerrit Stassen; Kevin Rudolf; Madeleine Gernert; Ansgar Thiel; Andrea Schaller
Journal:  BMC Public Health       Date:  2021-01-07       Impact factor: 3.295

4.  Association between 24-h movement guidelines and cardiometabolic health in Chilean adults.

Authors:  Ricardo Riquelme; Leandro F M Rezende; Adilson Marques; Clemens Drenowatz; Gerson Ferrari
Journal:  Sci Rep       Date:  2022-04-06       Impact factor: 4.379

5.  Associations between fruit and vegetable intake, leisure-time physical activity, sitting time and self-rated health among older adults: cross-sectional data from the WELL study.

Authors:  Marita Södergren; Sarah A McNaughton; Jo Salmon; Kylie Ball; David A Crawford
Journal:  BMC Public Health       Date:  2012-07-25       Impact factor: 3.295

  5 in total

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