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Patterns of Time Use across the Chronic Obstructive Pulmonary Disease Severity Spectrum
Descriptions of time use patterns in people with chronic obstructive pulmonary disease (COPD) are scarce and the relationship between use-of-time and COPD severity remains unclear. This study aimed to describe a typical day for people with COPD and to explore the differences in time-use patterns acr...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5877078/ https://www.ncbi.nlm.nih.gov/pubmed/29547535 http://dx.doi.org/10.3390/ijerph15030533 |
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author | Hunt, Toby Williams, Marie T. Olds, Timothy S. Dumuid, Dorothea |
author_facet | Hunt, Toby Williams, Marie T. Olds, Timothy S. Dumuid, Dorothea |
author_sort | Hunt, Toby |
collection | PubMed |
description | Descriptions of time use patterns in people with chronic obstructive pulmonary disease (COPD) are scarce and the relationship between use-of-time and COPD severity remains unclear. This study aimed to describe a typical day for people with COPD and to explore the differences in time-use patterns across the Body Mass-Index, Airflow Obstruction, Dyspnoea and Exercise Capacity (BODE) index using compositional analyses. Using a cross-sectional design, 141 adults with clinically stable COPD had their demographics, objective measures of function (pulmonary, exercise capacity and physical activity), and self-reported COPD-related impairment recorded. Daily time-use compositions were derived from 24-h accelerometry and 24-h use-of-time recall interviews. Compositional multiple linear regression models were used to explore the relationship between the BODE index and 24-h time-use compositions. These models were used to predict daily time (min/d) that is spent in time-use components across the BODE index. The BODE index score was clearly associated with 24-h accelerometry (p < 0.0001) and 24-h use-of-time recall (p < 0.0001) compositions. Relative to the remaining time-use components, higher BODE index scores were associated with greater sedentary behaviour (p < 0.0001), Quiet time (p < 0.0001), Screen time (p = 0.001) and Self-care (p = 0.022), and less daily Chores (p < 0.0001) and Household administration (p = 0.015) time. As the BODE index scores increased, time-use predictions were strongly associated with decreases in Chores (up to 206 min/d), and increases in Screen (up to 156 min/d) and Quiet time (up to 131 min/d). Time–use patterns may provide a basis for planning interventions relative to the severity of COPD. |
format | Online Article Text |
id | pubmed-5877078 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-58770782018-04-09 Patterns of Time Use across the Chronic Obstructive Pulmonary Disease Severity Spectrum Hunt, Toby Williams, Marie T. Olds, Timothy S. Dumuid, Dorothea Int J Environ Res Public Health Article Descriptions of time use patterns in people with chronic obstructive pulmonary disease (COPD) are scarce and the relationship between use-of-time and COPD severity remains unclear. This study aimed to describe a typical day for people with COPD and to explore the differences in time-use patterns across the Body Mass-Index, Airflow Obstruction, Dyspnoea and Exercise Capacity (BODE) index using compositional analyses. Using a cross-sectional design, 141 adults with clinically stable COPD had their demographics, objective measures of function (pulmonary, exercise capacity and physical activity), and self-reported COPD-related impairment recorded. Daily time-use compositions were derived from 24-h accelerometry and 24-h use-of-time recall interviews. Compositional multiple linear regression models were used to explore the relationship between the BODE index and 24-h time-use compositions. These models were used to predict daily time (min/d) that is spent in time-use components across the BODE index. The BODE index score was clearly associated with 24-h accelerometry (p < 0.0001) and 24-h use-of-time recall (p < 0.0001) compositions. Relative to the remaining time-use components, higher BODE index scores were associated with greater sedentary behaviour (p < 0.0001), Quiet time (p < 0.0001), Screen time (p = 0.001) and Self-care (p = 0.022), and less daily Chores (p < 0.0001) and Household administration (p = 0.015) time. As the BODE index scores increased, time-use predictions were strongly associated with decreases in Chores (up to 206 min/d), and increases in Screen (up to 156 min/d) and Quiet time (up to 131 min/d). Time–use patterns may provide a basis for planning interventions relative to the severity of COPD. MDPI 2018-03-16 2018-03 /pmc/articles/PMC5877078/ /pubmed/29547535 http://dx.doi.org/10.3390/ijerph15030533 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Hunt, Toby Williams, Marie T. Olds, Timothy S. Dumuid, Dorothea Patterns of Time Use across the Chronic Obstructive Pulmonary Disease Severity Spectrum |
title | Patterns of Time Use across the Chronic Obstructive Pulmonary Disease Severity Spectrum |
title_full | Patterns of Time Use across the Chronic Obstructive Pulmonary Disease Severity Spectrum |
title_fullStr | Patterns of Time Use across the Chronic Obstructive Pulmonary Disease Severity Spectrum |
title_full_unstemmed | Patterns of Time Use across the Chronic Obstructive Pulmonary Disease Severity Spectrum |
title_short | Patterns of Time Use across the Chronic Obstructive Pulmonary Disease Severity Spectrum |
title_sort | patterns of time use across the chronic obstructive pulmonary disease severity spectrum |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5877078/ https://www.ncbi.nlm.nih.gov/pubmed/29547535 http://dx.doi.org/10.3390/ijerph15030533 |
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