Temporal Association between Abdominal Weight Status and Healthy Aging: Findings from the 2011-2018 National Health and Aging Trends Study
Background/objectives: The longitudinal effect of abdominal weight status (AWS) defined by waist circumference (WC) on healthy aging has not yet been comprehensively examined. Therefore, the purpose of the present study was to examine the temporal association between WC-defined AWS and a comprehensi...
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| Veröffentlicht in: | International journal of environmental research and public health 2020-08, Vol.17 (16), p.5656, Article 5656 |
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| creator | Xu, Furong Earp, Jacob E. Greene, Geoffrey W. Cohen, Steven A. Lofgren, Ingrid E. Delmonico, Matthew J. Greaney, Mary L. |
| description | Background/objectives: The longitudinal effect of abdominal weight status (AWS) defined by waist circumference (WC) on healthy aging has not yet been comprehensively examined. Therefore, the purpose of the present study was to examine the temporal association between WC-defined AWS and a comprehensive assessment for healthy aging. Subjects/methods: This study utilized data from 5211 respondents aged 65+ who participated in the National Health and Aging Trends Study from 2011 to 2018. Mixed effects regression models were used to examine the association between baseline AWS and the annual change rate in healthy aging score (HAS) via interaction terms (AWS*round) adjusting for confounding effects. Further multiple mixed models examined the relationship of AWS and HAS over an 8-year period. Results: There were no annual change rate differences in HAS by baseline AWS, regardless of sex. However, males with abdominal obesity were more likely to have a lower HAS than males with normal AWS (beta = -0.20, 95% CI: -0.30, -0.10,p< 0.001) but no difference in HAS was observed between males with overweight and normal AWS. A similar pattern was observed among females. Conclusions: Study results indicate that AWS was associated with HAS but it did not modify annual HAS change rate over time. |
| doi_str_mv | 10.3390/ijerph17165656 |
| format | Article |
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Therefore, the purpose of the present study was to examine the temporal association between WC-defined AWS and a comprehensive assessment for healthy aging. Subjects/methods: This study utilized data from 5211 respondents aged 65+ who participated in the National Health and Aging Trends Study from 2011 to 2018. Mixed effects regression models were used to examine the association between baseline AWS and the annual change rate in healthy aging score (HAS) via interaction terms (AWS*round) adjusting for confounding effects. Further multiple mixed models examined the relationship of AWS and HAS over an 8-year period. Results: There were no annual change rate differences in HAS by baseline AWS, regardless of sex. However, males with abdominal obesity were more likely to have a lower HAS than males with normal AWS (beta = -0.20, 95% CI: -0.30, -0.10,p< 0.001) but no difference in HAS was observed between males with overweight and normal AWS. A similar pattern was observed among females. Conclusions: Study results indicate that AWS was associated with HAS but it did not modify annual HAS change rate over time.</description><identifier>ISSN: 1660-4601</identifier><identifier>ISSN: 1661-7827</identifier><identifier>EISSN: 1660-4601</identifier><identifier>DOI: 10.3390/ijerph17165656</identifier><identifier>PMID: 32764442</identifier><language>eng</language><publisher>BASEL: Mdpi</publisher><subject>Abdomen ; Activities of daily living ; Aged ; Aged, 80 and over ; Aging ; Anxiety ; Body Mass Index ; Body Weight ; Chronic illnesses ; Cognitive ability ; Dementia ; Diabetes ; Disease ; Environmental Sciences ; Environmental Sciences & Ecology ; Female ; Healthy Aging ; Humans ; Life Sciences & Biomedicine ; Longitudinal studies ; Male ; Males ; Mental depression ; Obesity ; Obesity, Abdominal - epidemiology ; Older people ; Pain ; Public, Environmental & Occupational Health ; Regression analysis ; Science & Technology ; Trends ; Vitamin E ; Waist Circumference</subject><ispartof>International journal of environmental research and public health, 2020-08, Vol.17 (16), p.5656, Article 5656</ispartof><rights>2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 by the authors. 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>0</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000565087400001</woscitedreferencesoriginalsourcerecordid><cites>FETCH-LOGICAL-c373t-eb12b380f80947a75bffcd0e50893ddd9ade5eff5ddee09f2b7d7d03fe190a2e3</cites><orcidid>0000-0002-4377-6461 ; 0000-0002-5963-920X ; 0000-0003-4524-7886 ; 0000-0003-0352-1314</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/PMC7459859/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7459859/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,729,782,786,887,27933,27934,28257,28258,53800,53802</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32764442$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Xu, Furong</creatorcontrib><creatorcontrib>Earp, Jacob E.</creatorcontrib><creatorcontrib>Greene, Geoffrey W.</creatorcontrib><creatorcontrib>Cohen, Steven A.</creatorcontrib><creatorcontrib>Lofgren, Ingrid E.</creatorcontrib><creatorcontrib>Delmonico, Matthew J.</creatorcontrib><creatorcontrib>Greaney, Mary L.</creatorcontrib><title>Temporal Association between Abdominal Weight Status and Healthy Aging: Findings from the 2011-2018 National Health and Aging Trends Study</title><title>International journal of environmental research and public health</title><addtitle>INT J ENV RES PUB HE</addtitle><addtitle>Int J Environ Res Public Health</addtitle><description>Background/objectives: The longitudinal effect of abdominal weight status (AWS) defined by waist circumference (WC) on healthy aging has not yet been comprehensively examined. Therefore, the purpose of the present study was to examine the temporal association between WC-defined AWS and a comprehensive assessment for healthy aging. Subjects/methods: This study utilized data from 5211 respondents aged 65+ who participated in the National Health and Aging Trends Study from 2011 to 2018. Mixed effects regression models were used to examine the association between baseline AWS and the annual change rate in healthy aging score (HAS) via interaction terms (AWS*round) adjusting for confounding effects. Further multiple mixed models examined the relationship of AWS and HAS over an 8-year period. Results: There were no annual change rate differences in HAS by baseline AWS, regardless of sex. However, males with abdominal obesity were more likely to have a lower HAS than males with normal AWS (beta = -0.20, 95% CI: -0.30, -0.10,p< 0.001) but no difference in HAS was observed between males with overweight and normal AWS. A similar pattern was observed among females. Conclusions: Study results indicate that AWS was associated with HAS but it did not modify annual HAS change rate over time.</description><subject>Abdomen</subject><subject>Activities of daily living</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Aging</subject><subject>Anxiety</subject><subject>Body Mass Index</subject><subject>Body Weight</subject><subject>Chronic illnesses</subject><subject>Cognitive ability</subject><subject>Dementia</subject><subject>Diabetes</subject><subject>Disease</subject><subject>Environmental Sciences</subject><subject>Environmental Sciences & Ecology</subject><subject>Female</subject><subject>Healthy Aging</subject><subject>Humans</subject><subject>Life Sciences & Biomedicine</subject><subject>Longitudinal studies</subject><subject>Male</subject><subject>Males</subject><subject>Mental depression</subject><subject>Obesity</subject><subject>Obesity, Abdominal - epidemiology</subject><subject>Older people</subject><subject>Pain</subject><subject>Public, Environmental & Occupational Health</subject><subject>Regression analysis</subject><subject>Science & Technology</subject><subject>Trends</subject><subject>Vitamin E</subject><subject>Waist Circumference</subject><issn>1660-4601</issn><issn>1661-7827</issn><issn>1660-4601</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AOWDO</sourceid><sourceid>ARHDP</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqNkU-LFDEQxRtR3D969SgBL8LSa9JJdxIPC8PgusKiB0c8NulOZTrDdDImaZf5Cn5q4_Q67HqSQFJQv_eoyiuKVwRfUirxO7uBsBsIJ02dz5PilDQNLlmDydMH9UlxFuMGYypYI58XJ7TiDWOsOi1-rWDc-aC2aBGj761K1jvUQboDcGjRaT9al7vfwa6HhL4mlaaIlNPoBtQ2DXu0WFu3fo-urdO5iMgEP6I0AKowIWW-BPp8cM0us-YgP8jQKoDTMdtOev-ieGbUNsLL-_e8-Hb9YbW8KW-_fPy0XNyWPeU0ldCRqqMCG4El44rXnTG9xlBjIanWWioNNRhTaw2Apak6rrnG1ACRWFVAz4ur2Xc3dSPoHlzK-7e7YEcV9q1Xtn3ccXZo1_5ny1ktRS2zwdt7g-B_TBBTO9rYw3arHPgpthWjRBDGZZXRN_-gGz-F_BUzJXkjBMvU5Uz1wccYwByHIbj9E3P7OOYseP1whSP-N9cMiBm4g86b2FtwPRwxjHG2wYKzXGGytOkQ0NJPLmXpxf9L6W99k8bK</recordid><startdate>20200805</startdate><enddate>20200805</enddate><creator>Xu, Furong</creator><creator>Earp, Jacob E.</creator><creator>Greene, Geoffrey W.</creator><creator>Cohen, Steven A.</creator><creator>Lofgren, Ingrid E.</creator><creator>Delmonico, Matthew J.</creator><creator>Greaney, Mary L.</creator><general>Mdpi</general><general>MDPI AG</general><general>MDPI</general><scope>17B</scope><scope>AOWDO</scope><scope>ARHDP</scope><scope>BLEPL</scope><scope>DTL</scope><scope>DVR</scope><scope>EGQ</scope><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/0000-0002-4377-6461</orcidid><orcidid>https://orcid.org/0000-0002-5963-920X</orcidid><orcidid>https://orcid.org/0000-0003-4524-7886</orcidid><orcidid>https://orcid.org/0000-0003-0352-1314</orcidid></search><sort><creationdate>20200805</creationdate><title>Temporal Association between Abdominal Weight Status and Healthy Aging: Findings from the 2011-2018 National Health and Aging Trends Study</title><author>Xu, Furong ; Earp, Jacob E. ; Greene, Geoffrey W. ; Cohen, Steven A. ; Lofgren, Ingrid E. ; Delmonico, Matthew J. ; Greaney, Mary L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c373t-eb12b380f80947a75bffcd0e50893ddd9ade5eff5ddee09f2b7d7d03fe190a2e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Abdomen</topic><topic>Activities of daily living</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Aging</topic><topic>Anxiety</topic><topic>Body Mass Index</topic><topic>Body Weight</topic><topic>Chronic illnesses</topic><topic>Cognitive ability</topic><topic>Dementia</topic><topic>Diabetes</topic><topic>Disease</topic><topic>Environmental Sciences</topic><topic>Environmental Sciences & Ecology</topic><topic>Female</topic><topic>Healthy Aging</topic><topic>Humans</topic><topic>Life Sciences & Biomedicine</topic><topic>Longitudinal studies</topic><topic>Male</topic><topic>Males</topic><topic>Mental depression</topic><topic>Obesity</topic><topic>Obesity, Abdominal - epidemiology</topic><topic>Older people</topic><topic>Pain</topic><topic>Public, Environmental & Occupational Health</topic><topic>Regression analysis</topic><topic>Science & Technology</topic><topic>Trends</topic><topic>Vitamin E</topic><topic>Waist Circumference</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xu, Furong</creatorcontrib><creatorcontrib>Earp, Jacob E.</creatorcontrib><creatorcontrib>Greene, Geoffrey W.</creatorcontrib><creatorcontrib>Cohen, Steven A.</creatorcontrib><creatorcontrib>Lofgren, Ingrid E.</creatorcontrib><creatorcontrib>Delmonico, Matthew J.</creatorcontrib><creatorcontrib>Greaney, Mary L.</creatorcontrib><collection>Web of Knowledge</collection><collection>Web of Science - Science Citation Index Expanded - 2020</collection><collection>Web of Science - Social Sciences Citation Index – 2020</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Social Sciences Citation Index</collection><collection>Web of Science Primary (SCIE, SSCI & AHCI)</collection><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>Access via ProQuest (Open Access)</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>Xu, Furong</au><au>Earp, Jacob E.</au><au>Greene, Geoffrey W.</au><au>Cohen, Steven A.</au><au>Lofgren, Ingrid E.</au><au>Delmonico, Matthew J.</au><au>Greaney, Mary L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Temporal Association between Abdominal Weight Status and Healthy Aging: Findings from the 2011-2018 National Health and Aging Trends Study</atitle><jtitle>International journal of environmental research and public health</jtitle><stitle>INT J ENV RES PUB HE</stitle><addtitle>Int J Environ Res Public Health</addtitle><date>2020-08-05</date><risdate>2020</risdate><volume>17</volume><issue>16</issue><spage>5656</spage><pages>5656-</pages><artnum>5656</artnum><issn>1660-4601</issn><issn>1661-7827</issn><eissn>1660-4601</eissn><abstract>Background/objectives: The longitudinal effect of abdominal weight status (AWS) defined by waist circumference (WC) on healthy aging has not yet been comprehensively examined. Therefore, the purpose of the present study was to examine the temporal association between WC-defined AWS and a comprehensive assessment for healthy aging. Subjects/methods: This study utilized data from 5211 respondents aged 65+ who participated in the National Health and Aging Trends Study from 2011 to 2018. Mixed effects regression models were used to examine the association between baseline AWS and the annual change rate in healthy aging score (HAS) via interaction terms (AWS*round) adjusting for confounding effects. Further multiple mixed models examined the relationship of AWS and HAS over an 8-year period. Results: There were no annual change rate differences in HAS by baseline AWS, regardless of sex. However, males with abdominal obesity were more likely to have a lower HAS than males with normal AWS (beta = -0.20, 95% CI: -0.30, -0.10,p< 0.001) but no difference in HAS was observed between males with overweight and normal AWS. A similar pattern was observed among females. Conclusions: Study results indicate that AWS was associated with HAS but it did not modify annual HAS change rate over time.</abstract><cop>BASEL</cop><pub>Mdpi</pub><pmid>32764442</pmid><doi>10.3390/ijerph17165656</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-4377-6461</orcidid><orcidid>https://orcid.org/0000-0002-5963-920X</orcidid><orcidid>https://orcid.org/0000-0003-4524-7886</orcidid><orcidid>https://orcid.org/0000-0003-0352-1314</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Abdomen Activities of daily living Aged Aged, 80 and over Aging Anxiety Body Mass Index Body Weight Chronic illnesses Cognitive ability Dementia Diabetes Disease Environmental Sciences Environmental Sciences & Ecology Female Healthy Aging Humans Life Sciences & Biomedicine Longitudinal studies Male Males Mental depression Obesity Obesity, Abdominal - epidemiology Older people Pain Public, Environmental & Occupational Health Regression analysis Science & Technology Trends Vitamin E Waist Circumference |
| title | Temporal Association between Abdominal Weight Status and Healthy Aging: Findings from the 2011-2018 National Health and Aging Trends Study |
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