Are Active Australia physical activity questions valid for older adults?
Open accessAbstract
Objective The Active Australia Survey (AAS) is used for physical activity (PA) surveillance in the general Australian adult population, but its validity in older adults has not been evaluated. Our aim was to examine the convergent validity of the AAS questions in older adults.Design The AAS was validated against pedometer step counts as an objective measure of PA, self-reported physical function, and a step-test to assess cardiorespiratory fitness.Method Participants were community-dwelling adults, aged 65-89 y, with the ability to walk 100 m. They completed a self-administered AAS and the step-test in one interview. One week earlier, they completed the Short Form-36 physical function subscale. Between these two interviews, they each wore a YAMAX Digiwalker SW200 pedometer and recorded daily steps. Using the AAS data, daily walking minutes and total PA minutes (walking, moderate-intensity PA and vigorous-intensity PA) were compared with the validity measures using Spearman rank-order correlations. Fifty-three adults completed the study.Results Median daily walking minutes were 34.2 (interquartile range [IQR] 17.1, 60.0), and median daily total PA minutes were 68.6 (IQR 31.4, 113.6). Walking and total PA minutes were both moderately correlated with pedometer steps (Spearman correlation r=0.42, p=0.003, for each) but not with step-test seconds to completion (r=-0.11, p=0.44; r=-0.25, p=0.08, respectively). Total PA minutes were significantly correlated with physical function scores (r=0.39, p=0.004), but walking minutes were not (r=0.15, p=0.29).Conclusions This initial examination of the psychometric properties of the AAS for older adults suggests that this surveillance tool has acceptable convergent validity for ambulatory, community-dwelling older adults.
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The sample had physical activity rates comparable to other Australian studies of older adults measured using the AAS.
“and physical activity rates comparable to other Australian studies of older adults measured using the AAS [31-33].”
From A Physical Activity and Diet Program Delivered by Artificially Intelligent Virtual Health Coach: Proof-of-Concept Study (2020) · cites this paper as [32]
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- Authors
- Heesch, K. C., Hill, R. L., van Uffelen, J. G. Z., & Brown, W. J.
- Affiliations
- Queensland University of Technology (AU)
- The University of Queensland (AU)
- Corresponding author
- Heesch, Kristiann C.
- Venue
- Journal of Science and Medicine in Sport
- Publisher
- Elsevier BV
- Published
- 2011-05
- Volume
- 14
- Issue
- 3
- Pages
- 233-237
- ISSN
- 1440-2440 (ISSN-L)
- OpenAlex
- W2114941426
- Cited by
- 80
- References
- 22
- Citations by year
- 2026: 2 · 2025: 1 · 2023: 3 · 2022: 2 · 2021: 3 · 2020: 8 · 2019: 18 · 2018: 7 · 2017: 5 · 2016: 5 · 2015: 3 · 2014: 6 · 2013: 5 · 2012: 11
- FWCI
- 4.80
- Type
- journal article
- Language
- en
- Open access
- green
- eprints.qut.edu.au
- Locations
- Journal of science and medicine in sport (publishedVersion)
- PubMed (publishedVersion)
- QUT ePrints (Queensland University of Technology) (submittedVersion)
- Victoria University Research Repository (Victoria University) (submittedVersion)
- Faculty of Health; Institute of Health and Biomedical Innovation
- Funders
- University of Queensland
- National Health and Medical Research Council (301200)
- Topics
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Balance, Gait, and Falls Prevention
- Health Sciences › Medicine › Complementary and alternative medicine › Cardiovascular and exercise physiology
- Keywords
- physical activity measurement, older adults, convergent validity, pedometer step counts, cardiorespiratory fitness, physical function, self-reported physical activity, community-dwelling older adults, physical activity surveillance
- MeSH terms
- Aged, Aged, 80 and over, Australia, Female, Health Surveys, Humans, Interviews as Topic, Male, Motor Activity, Surveys and Questionnaires, Self-Assessment, Geriatric Assessment, Walking, Monitoring, Ambulatory, Overweight
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