Validity of a multi-context sitting questionnaire across demographically diverse population groups: AusDiab3

© 2015 Clark et al. Background: Sitting time questionnaires have largely been validated in small convenience samples. The validity of this multi-context sitting questionnaire against an accurate measure of sitting time is reported in a large demographically diverse sample allowing assessment of vali...

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Main Authors: Clark, B., Lynch, B., Winkler, E., Gardiner, P., Healy, Genevieve, Dunstan, D., Owen, N.
Format: Journal Article
Published: 2015
Online Access:http://hdl.handle.net/20.500.11937/45769
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author Clark, B.
Lynch, B.
Winkler, E.
Gardiner, P.
Healy, Genevieve
Dunstan, D.
Owen, N.
author_facet Clark, B.
Lynch, B.
Winkler, E.
Gardiner, P.
Healy, Genevieve
Dunstan, D.
Owen, N.
author_sort Clark, B.
building Curtin Institutional Repository
collection Online Access
description © 2015 Clark et al. Background: Sitting time questionnaires have largely been validated in small convenience samples. The validity of this multi-context sitting questionnaire against an accurate measure of sitting time is reported in a large demographically diverse sample allowing assessment of validity in varied demographic subgroups. Methods: A subgroup of participants of the third wave of the Australian Diabetes, Obesity, and Lifestyle (AusDiab3) study wore activPAL3™ monitors (7 days, 24 hours/day protocol) and reported their sitting time for work, travel, television viewing, leisure computer use and "other" purposes, on weekdays and weekend days (n = 700, age 36-89 years, 45 % men). Correlations (Pearson's r; Spearman's ?) of the self-report measures (the composite total, contextual measures and items) with monitor-assessed sitting time were assessed in the whole sample and separately in socio-demographic subgroups. Agreement was assessed using Bland-Altman plots. Results: The composite total had a correlation with monitor-assessed sitting time of r = 0.46 (95 % confidence interval [CI]: 0.40, 0.52); this correlation did not vary significantly between demographic subgroups (all >0.4). The contextual measure most strongly correlated with monitor-assessed sitting time was work (? = 0.25, 95 % CI: 0.17, 0.31), followed by television viewing (? = 0.16, 95 % CI: 0.09, 0.24). Agreement of the composite total with monitored sitting time was poor, with a positive bias (B = 0.53, SE 0.04, p < 0.001) and wide limits of agreement (±4.32 h). Conclusions: This multi-context questionnaire provides a total sitting time measure that ranks participants well for the purposes of assessing health associations but has limited accuracy relative to activPAL-assessed sitting time. Findings did not differ in demographic subgroups.
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spelling curtin-20.500.11937-457692017-09-13T14:25:25Z Validity of a multi-context sitting questionnaire across demographically diverse population groups: AusDiab3 Clark, B. Lynch, B. Winkler, E. Gardiner, P. Healy, Genevieve Dunstan, D. Owen, N. © 2015 Clark et al. Background: Sitting time questionnaires have largely been validated in small convenience samples. The validity of this multi-context sitting questionnaire against an accurate measure of sitting time is reported in a large demographically diverse sample allowing assessment of validity in varied demographic subgroups. Methods: A subgroup of participants of the third wave of the Australian Diabetes, Obesity, and Lifestyle (AusDiab3) study wore activPAL3™ monitors (7 days, 24 hours/day protocol) and reported their sitting time for work, travel, television viewing, leisure computer use and "other" purposes, on weekdays and weekend days (n = 700, age 36-89 years, 45 % men). Correlations (Pearson's r; Spearman's ?) of the self-report measures (the composite total, contextual measures and items) with monitor-assessed sitting time were assessed in the whole sample and separately in socio-demographic subgroups. Agreement was assessed using Bland-Altman plots. Results: The composite total had a correlation with monitor-assessed sitting time of r = 0.46 (95 % confidence interval [CI]: 0.40, 0.52); this correlation did not vary significantly between demographic subgroups (all >0.4). The contextual measure most strongly correlated with monitor-assessed sitting time was work (? = 0.25, 95 % CI: 0.17, 0.31), followed by television viewing (? = 0.16, 95 % CI: 0.09, 0.24). Agreement of the composite total with monitored sitting time was poor, with a positive bias (B = 0.53, SE 0.04, p < 0.001) and wide limits of agreement (±4.32 h). Conclusions: This multi-context questionnaire provides a total sitting time measure that ranks participants well for the purposes of assessing health associations but has limited accuracy relative to activPAL-assessed sitting time. Findings did not differ in demographic subgroups. 2015 Journal Article http://hdl.handle.net/20.500.11937/45769 10.1186/s12966-015-0309-y unknown
spellingShingle Clark, B.
Lynch, B.
Winkler, E.
Gardiner, P.
Healy, Genevieve
Dunstan, D.
Owen, N.
Validity of a multi-context sitting questionnaire across demographically diverse population groups: AusDiab3
title Validity of a multi-context sitting questionnaire across demographically diverse population groups: AusDiab3
title_full Validity of a multi-context sitting questionnaire across demographically diverse population groups: AusDiab3
title_fullStr Validity of a multi-context sitting questionnaire across demographically diverse population groups: AusDiab3
title_full_unstemmed Validity of a multi-context sitting questionnaire across demographically diverse population groups: AusDiab3
title_short Validity of a multi-context sitting questionnaire across demographically diverse population groups: AusDiab3
title_sort validity of a multi-context sitting questionnaire across demographically diverse population groups: ausdiab3
url http://hdl.handle.net/20.500.11937/45769