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...
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Veröffentlicht in: | International journal of environmental research and public health 2018-03, Vol.15 (3), p.533 |
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creator | Hunt, Toby Williams, Marie T Olds, Timothy S Dumuid, Dorothea |
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 (
< 0.0001) and 24-h use-of-time recall (
< 0.0001) compositions. Relative to the remaining time-use components, higher BODE index scores were associated with greater sedentary behaviour (
< 0.0001), Quiet time (
< 0.0001), Screen time (
= 0.001) and Self-care (
= 0.022), and less daily Chores (
< 0.0001) and Household administration (
= 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. |
doi_str_mv | 10.3390/ijerph15030533 |
format | Article |
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< 0.0001) and 24-h use-of-time recall (
< 0.0001) compositions. Relative to the remaining time-use components, higher BODE index scores were associated with greater sedentary behaviour (
< 0.0001), Quiet time (
< 0.0001), Screen time (
= 0.001) and Self-care (
= 0.022), and less daily Chores (
< 0.0001) and Household administration (
= 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.</description><identifier>ISSN: 1660-4601</identifier><identifier>ISSN: 1661-7827</identifier><identifier>EISSN: 1660-4601</identifier><identifier>DOI: 10.3390/ijerph15030533</identifier><identifier>PMID: 29547535</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Accelerometers ; Activities of Daily Living ; Adults ; Aged ; Air flow ; Body mass ; Body Mass Index ; Chronic obstructive pulmonary disease ; Composition ; Cross-Sectional Studies ; Data analysis ; Demographics ; Demography ; Dyspnea ; Dyspnea - physiopathology ; Exercise ; Exercise Tolerance ; Female ; Humans ; Lung diseases ; Male ; Middle Aged ; Obstructive lung disease ; Physical activity ; Physical fitness ; Pulmonary Disease, Chronic Obstructive - physiopathology ; Regression analysis ; Respiration ; Respiratory diseases ; Severity of Illness Index ; Sleep</subject><ispartof>International journal of environmental research and public health, 2018-03, Vol.15 (3), p.533</ispartof><rights>2018. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2018 by the authors. 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c418t-3ab4ce1e36795da53f792200d36ac39cfd3b27f858f6ae611d04805fac44f9ad3</citedby><cites>FETCH-LOGICAL-c418t-3ab4ce1e36795da53f792200d36ac39cfd3b27f858f6ae611d04805fac44f9ad3</cites><orcidid>0000-0002-0473-5157</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5877078/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5877078/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29547535$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hunt, Toby</creatorcontrib><creatorcontrib>Williams, Marie T</creatorcontrib><creatorcontrib>Olds, Timothy S</creatorcontrib><creatorcontrib>Dumuid, Dorothea</creatorcontrib><title>Patterns of Time Use across the Chronic Obstructive Pulmonary Disease Severity Spectrum</title><title>International journal of environmental research and public health</title><addtitle>Int J Environ Res Public Health</addtitle><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 (
< 0.0001) and 24-h use-of-time recall (
< 0.0001) compositions. Relative to the remaining time-use components, higher BODE index scores were associated with greater sedentary behaviour (
< 0.0001), Quiet time (
< 0.0001), Screen time (
= 0.001) and Self-care (
= 0.022), and less daily Chores (
< 0.0001) and Household administration (
= 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.</description><subject>Accelerometers</subject><subject>Activities of Daily Living</subject><subject>Adults</subject><subject>Aged</subject><subject>Air flow</subject><subject>Body mass</subject><subject>Body Mass Index</subject><subject>Chronic obstructive pulmonary disease</subject><subject>Composition</subject><subject>Cross-Sectional Studies</subject><subject>Data analysis</subject><subject>Demographics</subject><subject>Demography</subject><subject>Dyspnea</subject><subject>Dyspnea - physiopathology</subject><subject>Exercise</subject><subject>Exercise Tolerance</subject><subject>Female</subject><subject>Humans</subject><subject>Lung diseases</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Obstructive lung disease</subject><subject>Physical activity</subject><subject>Physical fitness</subject><subject>Pulmonary Disease, Chronic Obstructive - physiopathology</subject><subject>Regression analysis</subject><subject>Respiration</subject><subject>Respiratory diseases</subject><subject>Severity of Illness Index</subject><subject>Sleep</subject><issn>1660-4601</issn><issn>1661-7827</issn><issn>1660-4601</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpdkd9LHDEQx0Ox1B_1tY8S8KUvZyebZDd5EcrZWkG4AxUfQy476eXY3VyT7IH_fddqRX2agfnMl_nOl5AvDM441_AtbDBt10wCB8n5B3LA6hpmoga296rfJ4c5bwC4ErX-RPYrLUUjuTwg90tbCqYh0-jpbeiR3mWk1qWYMy1rpPN1ikNwdLHKJY2uhB3S5dj1cbDpgV6EjHZauMEdplAe6M0W3cT1n8lHb7uMx8_1iNz9_HE7_zW7Xlxezb9fz5xgqsy4XQmHDHndaNlayX2jqwqg5bV1XDvf8lXVeCWVry3WjLUgFEhvnRBe25YfkfMn3e246rF1OJRkO7NNoZ_uM9EG83YyhLX5HXdGqqaBRk0CX58FUvwzYi6mD9lh19kB45hNBUxoCaD4hJ6-QzdxTMNkz1QMlACh2aPg2RP174cJ_csxDMxjZuZtZtPCyWsLL_j_kPhfP4OUuA</recordid><startdate>20180316</startdate><enddate>20180316</enddate><creator>Hunt, Toby</creator><creator>Williams, Marie T</creator><creator>Olds, Timothy S</creator><creator>Dumuid, Dorothea</creator><general>MDPI AG</general><general>MDPI</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-0473-5157</orcidid></search><sort><creationdate>20180316</creationdate><title>Patterns of Time Use across the Chronic Obstructive Pulmonary Disease Severity Spectrum</title><author>Hunt, Toby ; Williams, Marie T ; Olds, Timothy S ; Dumuid, Dorothea</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c418t-3ab4ce1e36795da53f792200d36ac39cfd3b27f858f6ae611d04805fac44f9ad3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Accelerometers</topic><topic>Activities of Daily Living</topic><topic>Adults</topic><topic>Aged</topic><topic>Air flow</topic><topic>Body mass</topic><topic>Body Mass Index</topic><topic>Chronic obstructive pulmonary disease</topic><topic>Composition</topic><topic>Cross-Sectional Studies</topic><topic>Data analysis</topic><topic>Demographics</topic><topic>Demography</topic><topic>Dyspnea</topic><topic>Dyspnea - physiopathology</topic><topic>Exercise</topic><topic>Exercise Tolerance</topic><topic>Female</topic><topic>Humans</topic><topic>Lung diseases</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Obstructive lung disease</topic><topic>Physical activity</topic><topic>Physical fitness</topic><topic>Pulmonary Disease, Chronic Obstructive - physiopathology</topic><topic>Regression analysis</topic><topic>Respiration</topic><topic>Respiratory diseases</topic><topic>Severity of Illness Index</topic><topic>Sleep</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hunt, Toby</creatorcontrib><creatorcontrib>Williams, Marie T</creatorcontrib><creatorcontrib>Olds, Timothy S</creatorcontrib><creatorcontrib>Dumuid, Dorothea</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International journal of environmental research and public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hunt, Toby</au><au>Williams, Marie T</au><au>Olds, Timothy S</au><au>Dumuid, Dorothea</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Patterns of Time Use across the Chronic Obstructive Pulmonary Disease Severity Spectrum</atitle><jtitle>International journal of environmental research and public health</jtitle><addtitle>Int J Environ Res Public Health</addtitle><date>2018-03-16</date><risdate>2018</risdate><volume>15</volume><issue>3</issue><spage>533</spage><pages>533-</pages><issn>1660-4601</issn><issn>1661-7827</issn><eissn>1660-4601</eissn><abstract>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 (
< 0.0001) and 24-h use-of-time recall (
< 0.0001) compositions. Relative to the remaining time-use components, higher BODE index scores were associated with greater sedentary behaviour (
< 0.0001), Quiet time (
< 0.0001), Screen time (
= 0.001) and Self-care (
= 0.022), and less daily Chores (
< 0.0001) and Household administration (
= 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.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>29547535</pmid><doi>10.3390/ijerph15030533</doi><orcidid>https://orcid.org/0000-0002-0473-5157</orcidid><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; PubMed Central Open Access; MDPI - Multidisciplinary Digital Publishing Institute; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Accelerometers Activities of Daily Living Adults Aged Air flow Body mass Body Mass Index Chronic obstructive pulmonary disease Composition Cross-Sectional Studies Data analysis Demographics Demography Dyspnea Dyspnea - physiopathology Exercise Exercise Tolerance Female Humans Lung diseases Male Middle Aged Obstructive lung disease Physical activity Physical fitness Pulmonary Disease, Chronic Obstructive - physiopathology Regression analysis Respiration Respiratory diseases Severity of Illness Index Sleep |
title | Patterns of Time Use across the Chronic Obstructive Pulmonary Disease Severity Spectrum |
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