Are Active Australia physical activity questions valid for older adults?

Abstract 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 : Th...

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Veröffentlicht in:Journal of science and medicine in sport 2011-05, Vol.14 (3), p.233-237
Hauptverfasser: Heesch, Kristiann C, Hill, Robert L, van Uffelen, Jannique G.Z, Brown, Wendy J
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container_end_page 237
container_issue 3
container_start_page 233
container_title Journal of science and medicine in sport
container_volume 14
creator Heesch, Kristiann C
Hill, Robert L
van Uffelen, Jannique G.Z
Brown, Wendy J
description Abstract 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.
doi_str_mv 10.1016/j.jsams.2010.11.004
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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.</description><identifier>ISSN: 1440-2440</identifier><identifier>EISSN: 1878-1861</identifier><identifier>DOI: 10.1016/j.jsams.2010.11.004</identifier><identifier>PMID: 21276752</identifier><language>eng</language><publisher>Australia: Elsevier Ltd</publisher><subject>Aged ; Aged, 80 and over ; Australia - epidemiology ; Female ; Geriatric Assessment - methods ; Health Surveys ; Humans ; Independent living ; Interviews as Topic ; Male ; Monitoring, Ambulatory - methods ; Motor Activity ; Older people ; Overweight - epidemiology ; Physical fitness ; Physical Medicine and Rehabilitation ; Population surveillance ; Questionnaire ; Reliability and validity ; Self-Assessment ; Sports Medicine ; Studies ; Surveys and Questionnaires - standards ; Walking ; Womens health</subject><ispartof>Journal of science and medicine in sport, 2011-05, Vol.14 (3), p.233-237</ispartof><rights>Sports Medicine Australia</rights><rights>2010 Sports Medicine Australia</rights><rights>Copyright © 2010 Sports Medicine Australia. 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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. 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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.</abstract><cop>Australia</cop><pub>Elsevier Ltd</pub><pmid>21276752</pmid><doi>10.1016/j.jsams.2010.11.004</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record>
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subjects Aged
Aged, 80 and over
Australia - epidemiology
Female
Geriatric Assessment - methods
Health Surveys
Humans
Independent living
Interviews as Topic
Male
Monitoring, Ambulatory - methods
Motor Activity
Older people
Overweight - epidemiology
Physical fitness
Physical Medicine and Rehabilitation
Population surveillance
Questionnaire
Reliability and validity
Self-Assessment
Sports Medicine
Studies
Surveys and Questionnaires - standards
Walking
Womens health
title Are Active Australia physical activity questions valid for older adults?
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