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Development and psychometric properties of the Y-PASS questionnaire to assess correlates of lunchtime and after-school physical activity in children

BACKGROUND: To frame interventions, it is useful to understand context- and time-specific correlates of children’s physical activity. To do this, we need accurate assessment of these correlates. There are currently no measures that assess correlates at all levels of the social ecological model, cont...

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Autores principales: Stanley, Rebecca M, Ridley, Kate, Olds, Timothy S, Dollman, James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4041362/
https://www.ncbi.nlm.nih.gov/pubmed/24885601
http://dx.doi.org/10.1186/1471-2458-14-412
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author Stanley, Rebecca M
Ridley, Kate
Olds, Timothy S
Dollman, James
author_facet Stanley, Rebecca M
Ridley, Kate
Olds, Timothy S
Dollman, James
author_sort Stanley, Rebecca M
collection PubMed
description BACKGROUND: To frame interventions, it is useful to understand context- and time-specific correlates of children’s physical activity. To do this, we need accurate assessment of these correlates. There are currently no measures that assess correlates at all levels of the social ecological model, contain items that are specifically worded for the lunchtime and/or after-school time periods, and assess correlates that have been conceptualised and defined by children. The aim of this study was to develop and evaluate the psychometric properties of the lunchtime and after-school Youth Physical Activity Survey for Specific Settings (Y-PASS) questionnaires. METHODS: The Y-PASS questionnaire was administered to 264 South Australian children (146 boys, 118 girls; mean age = 11.7 ± 0.93 years). Factorial structure and internal consistency of the intrapersonal, sociocultural and physical environmental/policy lunchtime and after-school subscales were examined through an exploratory factor analysis. The test-retest reliability of the Y-PASS subscales was assessed over a one-week period on a subsample of children (lunchtime Y-PASS: n = 12 boys, 12 girls, mean age of 11.6 ± 0.8 years; after-school Y-PASS: n = 9 boys, 13 girls; mean age = 11.4 ± 0.9 years). RESULTS: For the lunchtime Y-PASS, three factors were identified under each of the intrapersonal, sociocultural and physical environmental/policy subscales. For the after-school Y-PASS, six factors were identified in the intrapersonal subscale, four factors in the sociocultural subscale and seven factors in the physical environmental/policy subscale. Following item reduction, all subscales demonstrated acceptable internal consistency (Cronbach alpha = 0.78 – 0.85), except for the lunchtime sociocultural subscale (Cronbach alpha = 0.55). The factors and items demonstrated fair to very high test-retest reliability (ICC = 0.26 – 0.93). CONCLUSION: The preliminary reliability and factorial structure evidence suggests the Y-PASS correlate questionnaires are robust tools for measuring correlates of context-specific physical activity in children. The multi-dimensional factor structure provides justification for exploring physical activity correlates from a social ecological perspective and demonstrates the importance of developing items that are context specific. Further development and refinement of the Y-PASS questionnaires is recommended, including a confirmatory factor analysis and exploring the inclusion of additional items.
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spelling pubmed-40413622014-06-03 Development and psychometric properties of the Y-PASS questionnaire to assess correlates of lunchtime and after-school physical activity in children Stanley, Rebecca M Ridley, Kate Olds, Timothy S Dollman, James BMC Public Health Research Article BACKGROUND: To frame interventions, it is useful to understand context- and time-specific correlates of children’s physical activity. To do this, we need accurate assessment of these correlates. There are currently no measures that assess correlates at all levels of the social ecological model, contain items that are specifically worded for the lunchtime and/or after-school time periods, and assess correlates that have been conceptualised and defined by children. The aim of this study was to develop and evaluate the psychometric properties of the lunchtime and after-school Youth Physical Activity Survey for Specific Settings (Y-PASS) questionnaires. METHODS: The Y-PASS questionnaire was administered to 264 South Australian children (146 boys, 118 girls; mean age = 11.7 ± 0.93 years). Factorial structure and internal consistency of the intrapersonal, sociocultural and physical environmental/policy lunchtime and after-school subscales were examined through an exploratory factor analysis. The test-retest reliability of the Y-PASS subscales was assessed over a one-week period on a subsample of children (lunchtime Y-PASS: n = 12 boys, 12 girls, mean age of 11.6 ± 0.8 years; after-school Y-PASS: n = 9 boys, 13 girls; mean age = 11.4 ± 0.9 years). RESULTS: For the lunchtime Y-PASS, three factors were identified under each of the intrapersonal, sociocultural and physical environmental/policy subscales. For the after-school Y-PASS, six factors were identified in the intrapersonal subscale, four factors in the sociocultural subscale and seven factors in the physical environmental/policy subscale. Following item reduction, all subscales demonstrated acceptable internal consistency (Cronbach alpha = 0.78 – 0.85), except for the lunchtime sociocultural subscale (Cronbach alpha = 0.55). The factors and items demonstrated fair to very high test-retest reliability (ICC = 0.26 – 0.93). CONCLUSION: The preliminary reliability and factorial structure evidence suggests the Y-PASS correlate questionnaires are robust tools for measuring correlates of context-specific physical activity in children. The multi-dimensional factor structure provides justification for exploring physical activity correlates from a social ecological perspective and demonstrates the importance of developing items that are context specific. Further development and refinement of the Y-PASS questionnaires is recommended, including a confirmatory factor analysis and exploring the inclusion of additional items. BioMed Central 2014-04-30 /pmc/articles/PMC4041362/ /pubmed/24885601 http://dx.doi.org/10.1186/1471-2458-14-412 Text en Copyright © 2014 Stanley et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Stanley, Rebecca M
Ridley, Kate
Olds, Timothy S
Dollman, James
Development and psychometric properties of the Y-PASS questionnaire to assess correlates of lunchtime and after-school physical activity in children
title Development and psychometric properties of the Y-PASS questionnaire to assess correlates of lunchtime and after-school physical activity in children
title_full Development and psychometric properties of the Y-PASS questionnaire to assess correlates of lunchtime and after-school physical activity in children
title_fullStr Development and psychometric properties of the Y-PASS questionnaire to assess correlates of lunchtime and after-school physical activity in children
title_full_unstemmed Development and psychometric properties of the Y-PASS questionnaire to assess correlates of lunchtime and after-school physical activity in children
title_short Development and psychometric properties of the Y-PASS questionnaire to assess correlates of lunchtime and after-school physical activity in children
title_sort development and psychometric properties of the y-pass questionnaire to assess correlates of lunchtime and after-school physical activity in children
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4041362/
https://www.ncbi.nlm.nih.gov/pubmed/24885601
http://dx.doi.org/10.1186/1471-2458-14-412
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