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Measuring activity engagement in old age: An exploratory factor analysis
A growing body of literature suggests that higher engagement in a range of activities can be beneficial for cognitive health in old age. Such studies typically rely on self-report questionnaires to assess level of engagement. These questionnaires are highly heterogeneous across studies, limiting gen...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8648112/ https://www.ncbi.nlm.nih.gov/pubmed/34871324 http://dx.doi.org/10.1371/journal.pone.0260996 |
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author | Marr, Calum Vaportzis, Eleftheria Niechcial, Malwina A. Dewar, Michaela Gow, Alan J. |
author_facet | Marr, Calum Vaportzis, Eleftheria Niechcial, Malwina A. Dewar, Michaela Gow, Alan J. |
author_sort | Marr, Calum |
collection | PubMed |
description | A growing body of literature suggests that higher engagement in a range of activities can be beneficial for cognitive health in old age. Such studies typically rely on self-report questionnaires to assess level of engagement. These questionnaires are highly heterogeneous across studies, limiting generalisability. In particular, the most appropriate domains of activity engagement remain unclear. The Victoria Longitudinal Study-Activity Lifestyle Questionnaire comprises one of the broadest and most diverse collections of activity items, but different studies report different domain structures. This study aimed to help establish a generalisable domain structure of the Victoria Longitudinal Study-Activity Lifestyle Questionnaire. The questionnaire was adapted for use in a sample of UK-based older adults (336 community-dwelling adults aged 65–92 with no diagnosed cognitive impairment). An exploratory factor analysis was conducted on 29 items. The final model retained 22 of these items in a six-factor structure. Activity domains were: Manual (e.g., household repairs), Intellectual (e.g., attending a public lecture), Games (e.g., card games), Religious (e.g., attending religious services), Exercise (e.g., aerobics) and Social (e.g., going out with friends). Given that beneficial activities have the potential to be adapted into interventions, it is essential that future studies consider the most appropriate measurement of activity engagement across domains. The factor structure reported here offers a parsimonious and potentially useful way for future studies to assess engagement in different kinds of activities. |
format | Online Article Text |
id | pubmed-8648112 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-86481122021-12-07 Measuring activity engagement in old age: An exploratory factor analysis Marr, Calum Vaportzis, Eleftheria Niechcial, Malwina A. Dewar, Michaela Gow, Alan J. PLoS One Research Article A growing body of literature suggests that higher engagement in a range of activities can be beneficial for cognitive health in old age. Such studies typically rely on self-report questionnaires to assess level of engagement. These questionnaires are highly heterogeneous across studies, limiting generalisability. In particular, the most appropriate domains of activity engagement remain unclear. The Victoria Longitudinal Study-Activity Lifestyle Questionnaire comprises one of the broadest and most diverse collections of activity items, but different studies report different domain structures. This study aimed to help establish a generalisable domain structure of the Victoria Longitudinal Study-Activity Lifestyle Questionnaire. The questionnaire was adapted for use in a sample of UK-based older adults (336 community-dwelling adults aged 65–92 with no diagnosed cognitive impairment). An exploratory factor analysis was conducted on 29 items. The final model retained 22 of these items in a six-factor structure. Activity domains were: Manual (e.g., household repairs), Intellectual (e.g., attending a public lecture), Games (e.g., card games), Religious (e.g., attending religious services), Exercise (e.g., aerobics) and Social (e.g., going out with friends). Given that beneficial activities have the potential to be adapted into interventions, it is essential that future studies consider the most appropriate measurement of activity engagement across domains. The factor structure reported here offers a parsimonious and potentially useful way for future studies to assess engagement in different kinds of activities. Public Library of Science 2021-12-06 /pmc/articles/PMC8648112/ /pubmed/34871324 http://dx.doi.org/10.1371/journal.pone.0260996 Text en © 2021 Marr et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Marr, Calum Vaportzis, Eleftheria Niechcial, Malwina A. Dewar, Michaela Gow, Alan J. Measuring activity engagement in old age: An exploratory factor analysis |
title | Measuring activity engagement in old age: An exploratory factor analysis |
title_full | Measuring activity engagement in old age: An exploratory factor analysis |
title_fullStr | Measuring activity engagement in old age: An exploratory factor analysis |
title_full_unstemmed | Measuring activity engagement in old age: An exploratory factor analysis |
title_short | Measuring activity engagement in old age: An exploratory factor analysis |
title_sort | measuring activity engagement in old age: an exploratory factor analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8648112/ https://www.ncbi.nlm.nih.gov/pubmed/34871324 http://dx.doi.org/10.1371/journal.pone.0260996 |
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