Activity Patterns and Health Outcomes in Later Life: The Role of Nature of Engagement
The health benefit of activity participation at older ages is documented in the current literature. Many studies, however, only explored the health benefits of engaging in a few activities and did not examine mechanisms connecting activity participation to health. We investigated the pathway between...
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Veröffentlicht in: | The Gerontologist 2019-07, Vol.59 (4), p.698-708 |
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description | The health benefit of activity participation at older ages is documented in the current literature. Many studies, however, only explored the health benefits of engaging in a few activities and did not examine mechanisms connecting activity participation to health. We investigated the pathway between activity and health by testing the mediation role of the nature of engagement (physical, cognitive, and social) on physical, mental, and cognitive health of older adults.
We analyzed data of 6,044 older adults from the 2010 and 2012 Health and Retirement Study linked with 2011 Consumption and Activity Mail Survey. We used latent class analysis to identify the patterns of participating in 33 activities as well as patterns of nature of engagement, and examined how these patterns were associated with cognition, depressive symptoms, and self-rated health in later life.
Meaningful patterns of activity (high, medium, low, passive leisure, and working) and the nature of activity engagement (full, partial, and minimal) were identified. High and working groups, compared to the passive leisure group, showed better health and cognition outcomes. The nature of engagement mediated the relationship between activity patterns and health, especially for older adults who were either full or partially engaged.
The nature of engagement may play a more important role than the activity itself in relation to health. Identifying the heterogeneity in activity engagement in later life is critical for tailoring interventions and designing programs that can improve the health of older adults. |
doi_str_mv | 10.1093/geront/gny023 |
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We analyzed data of 6,044 older adults from the 2010 and 2012 Health and Retirement Study linked with 2011 Consumption and Activity Mail Survey. We used latent class analysis to identify the patterns of participating in 33 activities as well as patterns of nature of engagement, and examined how these patterns were associated with cognition, depressive symptoms, and self-rated health in later life.
Meaningful patterns of activity (high, medium, low, passive leisure, and working) and the nature of activity engagement (full, partial, and minimal) were identified. High and working groups, compared to the passive leisure group, showed better health and cognition outcomes. The nature of engagement mediated the relationship between activity patterns and health, especially for older adults who were either full or partially engaged.
The nature of engagement may play a more important role than the activity itself in relation to health. Identifying the heterogeneity in activity engagement in later life is critical for tailoring interventions and designing programs that can improve the health of older adults.</description><identifier>ISSN: 0016-9013</identifier><identifier>EISSN: 1758-5341</identifier><identifier>DOI: 10.1093/geront/gny023</identifier><identifier>PMID: 29659800</identifier><language>eng</language><publisher>United States: Oxford University Press</publisher><subject>Aged ; Cognition ; Cognitive ability ; Consumption ; Depression ; Employment ; Exercise ; Female ; Health behavior ; Health problems ; Health promotion ; Health research ; Health Status ; Humans ; Latent Class Analysis ; Leisure ; Leisure Activities ; Male ; Mental depression ; Mental health ; Middle Aged ; Older people ; Participation ; Research design ; Retirement ; Social Participation ; Symptoms</subject><ispartof>The Gerontologist, 2019-07, Vol.59 (4), p.698-708</ispartof><rights>The Author(s) 2018. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.</rights><rights>Copyright Oxford University Press Aug 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c321t-4d60438b763c9ee030cc1c84a5b1b994f08d9d71f462c889a06fd1d0125f22dc3</citedby><cites>FETCH-LOGICAL-c321t-4d60438b763c9ee030cc1c84a5b1b994f08d9d71f462c889a06fd1d0125f22dc3</cites><orcidid>0000-0003-1861-4089</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902,33751</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29659800$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chen, Yu-Chih</creatorcontrib><creatorcontrib>Putnam, Michelle</creatorcontrib><creatorcontrib>Lee, Yung Soo</creatorcontrib><creatorcontrib>Morrow-Howell, Nancy</creatorcontrib><title>Activity Patterns and Health Outcomes in Later Life: The Role of Nature of Engagement</title><title>The Gerontologist</title><addtitle>Gerontologist</addtitle><description>The health benefit of activity participation at older ages is documented in the current literature. Many studies, however, only explored the health benefits of engaging in a few activities and did not examine mechanisms connecting activity participation to health. We investigated the pathway between activity and health by testing the mediation role of the nature of engagement (physical, cognitive, and social) on physical, mental, and cognitive health of older adults.
We analyzed data of 6,044 older adults from the 2010 and 2012 Health and Retirement Study linked with 2011 Consumption and Activity Mail Survey. We used latent class analysis to identify the patterns of participating in 33 activities as well as patterns of nature of engagement, and examined how these patterns were associated with cognition, depressive symptoms, and self-rated health in later life.
Meaningful patterns of activity (high, medium, low, passive leisure, and working) and the nature of activity engagement (full, partial, and minimal) were identified. High and working groups, compared to the passive leisure group, showed better health and cognition outcomes. The nature of engagement mediated the relationship between activity patterns and health, especially for older adults who were either full or partially engaged.
The nature of engagement may play a more important role than the activity itself in relation to health. Identifying the heterogeneity in activity engagement in later life is critical for tailoring interventions and designing programs that can improve the health of older adults.</description><subject>Aged</subject><subject>Cognition</subject><subject>Cognitive ability</subject><subject>Consumption</subject><subject>Depression</subject><subject>Employment</subject><subject>Exercise</subject><subject>Female</subject><subject>Health behavior</subject><subject>Health problems</subject><subject>Health promotion</subject><subject>Health research</subject><subject>Health Status</subject><subject>Humans</subject><subject>Latent Class Analysis</subject><subject>Leisure</subject><subject>Leisure Activities</subject><subject>Male</subject><subject>Mental depression</subject><subject>Mental health</subject><subject>Middle Aged</subject><subject>Older people</subject><subject>Participation</subject><subject>Research design</subject><subject>Retirement</subject><subject>Social Participation</subject><subject>Symptoms</subject><issn>0016-9013</issn><issn>1758-5341</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BHHNA</sourceid><recordid>eNpdkE1PAjEQhhujEUSPXk0TL15Wpu1-1RshKCZEjIHzpnRnYcluF9uuCf_eRdCDp5nJPHkz8xByy-CRgRTDNdrG-OHa7IGLM9JnSZQGkQjZOekDsDiQwESPXDm3hW7mPLkkPS7jSKYAfbIcaV9-lX5P35X3aI2jyuR0iqryGzpvvW5qdLQ0dKa6NZ2VBT7RxQbpR1MhbQr6pnxrf7qJWas11mj8NbkoVOXw5lQHZPk8WYynwWz-8joezQItOPNBmMcQinSVxEJLRBCgNdNpqKIVW0kZFpDmMk9YEcZcp6lUEBc5y7svooLzXIsBeTjm7mzz2aLzWV06jVWlDDatyzjwOGSchUmH3v9Dt01rTXdd1jmJUwGJOFDBkdK2cc5ike1sWSu7zxhkB9_Z0Xd29N3xd6fUdlVj_kf_Chbfg1x7vg</recordid><startdate>20190716</startdate><enddate>20190716</enddate><creator>Chen, Yu-Chih</creator><creator>Putnam, Michelle</creator><creator>Lee, Yung Soo</creator><creator>Morrow-Howell, Nancy</creator><general>Oxford University Press</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>7U3</scope><scope>7U4</scope><scope>ASE</scope><scope>BHHNA</scope><scope>DWI</scope><scope>FPQ</scope><scope>K6X</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>WZK</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-1861-4089</orcidid></search><sort><creationdate>20190716</creationdate><title>Activity Patterns and Health Outcomes in Later Life: The Role of Nature of Engagement</title><author>Chen, Yu-Chih ; Putnam, Michelle ; Lee, Yung Soo ; Morrow-Howell, Nancy</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c321t-4d60438b763c9ee030cc1c84a5b1b994f08d9d71f462c889a06fd1d0125f22dc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Aged</topic><topic>Cognition</topic><topic>Cognitive ability</topic><topic>Consumption</topic><topic>Depression</topic><topic>Employment</topic><topic>Exercise</topic><topic>Female</topic><topic>Health behavior</topic><topic>Health problems</topic><topic>Health promotion</topic><topic>Health research</topic><topic>Health Status</topic><topic>Humans</topic><topic>Latent Class Analysis</topic><topic>Leisure</topic><topic>Leisure Activities</topic><topic>Male</topic><topic>Mental depression</topic><topic>Mental health</topic><topic>Middle Aged</topic><topic>Older people</topic><topic>Participation</topic><topic>Research design</topic><topic>Retirement</topic><topic>Social Participation</topic><topic>Symptoms</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Yu-Chih</creatorcontrib><creatorcontrib>Putnam, Michelle</creatorcontrib><creatorcontrib>Lee, Yung Soo</creatorcontrib><creatorcontrib>Morrow-Howell, Nancy</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Social Services Abstracts</collection><collection>Sociological Abstracts (pre-2017)</collection><collection>British Nursing Index</collection><collection>Sociological Abstracts</collection><collection>Sociological Abstracts</collection><collection>British Nursing Index (BNI) (1985 to Present)</collection><collection>British Nursing Index</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>Sociological Abstracts (Ovid)</collection><collection>MEDLINE - Academic</collection><jtitle>The Gerontologist</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Yu-Chih</au><au>Putnam, Michelle</au><au>Lee, Yung Soo</au><au>Morrow-Howell, Nancy</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Activity Patterns and Health Outcomes in Later Life: The Role of Nature of Engagement</atitle><jtitle>The Gerontologist</jtitle><addtitle>Gerontologist</addtitle><date>2019-07-16</date><risdate>2019</risdate><volume>59</volume><issue>4</issue><spage>698</spage><epage>708</epage><pages>698-708</pages><issn>0016-9013</issn><eissn>1758-5341</eissn><abstract>The health benefit of activity participation at older ages is documented in the current literature. Many studies, however, only explored the health benefits of engaging in a few activities and did not examine mechanisms connecting activity participation to health. We investigated the pathway between activity and health by testing the mediation role of the nature of engagement (physical, cognitive, and social) on physical, mental, and cognitive health of older adults.
We analyzed data of 6,044 older adults from the 2010 and 2012 Health and Retirement Study linked with 2011 Consumption and Activity Mail Survey. We used latent class analysis to identify the patterns of participating in 33 activities as well as patterns of nature of engagement, and examined how these patterns were associated with cognition, depressive symptoms, and self-rated health in later life.
Meaningful patterns of activity (high, medium, low, passive leisure, and working) and the nature of activity engagement (full, partial, and minimal) were identified. High and working groups, compared to the passive leisure group, showed better health and cognition outcomes. The nature of engagement mediated the relationship between activity patterns and health, especially for older adults who were either full or partially engaged.
The nature of engagement may play a more important role than the activity itself in relation to health. Identifying the heterogeneity in activity engagement in later life is critical for tailoring interventions and designing programs that can improve the health of older adults.</abstract><cop>United States</cop><pub>Oxford University Press</pub><pmid>29659800</pmid><doi>10.1093/geront/gny023</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0003-1861-4089</orcidid></addata></record> |
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subjects | Aged Cognition Cognitive ability Consumption Depression Employment Exercise Female Health behavior Health problems Health promotion Health research Health Status Humans Latent Class Analysis Leisure Leisure Activities Male Mental depression Mental health Middle Aged Older people Participation Research design Retirement Social Participation Symptoms |
title | Activity Patterns and Health Outcomes in Later Life: The Role of Nature of Engagement |
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