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Aging-Related Multisystem Dysregulation Over the Adult Life Span and Physical Function in Later Life: The Atherosclerosis Risk in Communities (ARIC) Study

Abstract Background Multisystem dysregulation (Dm) shows promise as a metric of aging and predicts mortality. However, Dm needs to be studied with less severe endpoints indicating modifiable aging stages. Physical function, reflecting healthy longevity rather than just longevity, is more relevant to...

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Published in:The journals of gerontology. Series A, Biological sciences and medical sciences Biological sciences and medical sciences, 2023-08, Vol.78 (8), p.1497-1503
Main Authors: Lu, Yifei, Pike, James R, Kucharska-Newton, Anna M, Palta, Priya, Whitsel, Eric A, Bey, Ganga S, Zannas, Anthony S, Windham, B Gwen, Walker, Keenan A, Griswold, Michael, Heiss, Gerardo
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container_title The journals of gerontology. Series A, Biological sciences and medical sciences
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creator Lu, Yifei
Pike, James R
Kucharska-Newton, Anna M
Palta, Priya
Whitsel, Eric A
Bey, Ganga S
Zannas, Anthony S
Windham, B Gwen
Walker, Keenan A
Griswold, Michael
Heiss, Gerardo
description Abstract Background Multisystem dysregulation (Dm) shows promise as a metric of aging and predicts mortality. However, Dm needs to be studied with less severe endpoints indicating modifiable aging stages. Physical function, reflecting healthy longevity rather than just longevity, is more relevant to the goals of geroscience but has not been well investigated. Methods We tested the association of midlife Dm and its change over ~20 years with physical function in later life in 5 583 the Atherosclerosis Risk in Communities Study cohort participants (baseline mean age 54.7). Dm quantifies the multivariate statistical deviation of 17 physiologically motivated biomarkers relative to their distribution in a young healthy sample at baseline. Physical function was assessed from grip strength and the Short Physical Performance Battery (SPPB). Associations were quantified using linear regression and ordinal logistic regression adjusting for age, sex, race, and education. Results Each unit increment in midlife Dm was associated with 1.71 times the odds of having a lower SPPB score. Compared to the first quartile of midlife Dm, the odds ratios of having a lower SPPB score were 1.25, 1.56, and 2.45, respectively, for the second–fourth quartiles. Similar graded association patterns were observed for each SPPB component test and grip strength. An inverse monotonic relationship also was observed between the annual growth rate of Dm and physical function. Conclusion Greater Dm and progression in midlife were associated with lower physical function in later life. Future studies on the factors that lead to the progression of Dm may highlight opportunities to preserve physical function.
doi_str_mv 10.1093/gerona/glac236
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However, Dm needs to be studied with less severe endpoints indicating modifiable aging stages. Physical function, reflecting healthy longevity rather than just longevity, is more relevant to the goals of geroscience but has not been well investigated. Methods We tested the association of midlife Dm and its change over ~20 years with physical function in later life in 5 583 the Atherosclerosis Risk in Communities Study cohort participants (baseline mean age 54.7). Dm quantifies the multivariate statistical deviation of 17 physiologically motivated biomarkers relative to their distribution in a young healthy sample at baseline. Physical function was assessed from grip strength and the Short Physical Performance Battery (SPPB). Associations were quantified using linear regression and ordinal logistic regression adjusting for age, sex, race, and education. Results Each unit increment in midlife Dm was associated with 1.71 times the odds of having a lower SPPB score. Compared to the first quartile of midlife Dm, the odds ratios of having a lower SPPB score were 1.25, 1.56, and 2.45, respectively, for the second–fourth quartiles. Similar graded association patterns were observed for each SPPB component test and grip strength. An inverse monotonic relationship also was observed between the annual growth rate of Dm and physical function. Conclusion Greater Dm and progression in midlife were associated with lower physical function in later life. Future studies on the factors that lead to the progression of Dm may highlight opportunities to preserve physical function.</description><identifier>ISSN: 1079-5006</identifier><identifier>ISSN: 1758-535X</identifier><identifier>EISSN: 1758-535X</identifier><identifier>DOI: 10.1093/gerona/glac236</identifier><identifier>PMID: 36453688</identifier><language>eng</language><publisher>US: Oxford University Press</publisher><subject>Aging ; Aging - physiology ; Arteriosclerosis ; Atherosclerosis ; Atherosclerosis - epidemiology ; Biomarkers ; Humans ; Life span ; Longevity ; Mortality ; THE JOURNAL OF GERONTOLOGY: Medical Sciences</subject><ispartof>The journals of gerontology. Series A, Biological sciences and medical sciences, 2023-08, Vol.78 (8), p.1497-1503</ispartof><rights>The Author(s) 2022. 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. 2022</rights><rights>The Author(s) 2022. 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 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c453t-efaadbbab29d745c8470e479817f82d1bd14289b0f31146f9bb23774024f27bd3</citedby><cites>FETCH-LOGICAL-c453t-efaadbbab29d745c8470e479817f82d1bd14289b0f31146f9bb23774024f27bd3</cites><orcidid>0000-0002-6858-620X ; 0000-0001-8907-4898</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36453688$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Lipsitz, Lewis A</contributor><creatorcontrib>Lu, Yifei</creatorcontrib><creatorcontrib>Pike, James R</creatorcontrib><creatorcontrib>Kucharska-Newton, Anna M</creatorcontrib><creatorcontrib>Palta, Priya</creatorcontrib><creatorcontrib>Whitsel, Eric A</creatorcontrib><creatorcontrib>Bey, Ganga S</creatorcontrib><creatorcontrib>Zannas, Anthony S</creatorcontrib><creatorcontrib>Windham, B Gwen</creatorcontrib><creatorcontrib>Walker, Keenan A</creatorcontrib><creatorcontrib>Griswold, Michael</creatorcontrib><creatorcontrib>Heiss, Gerardo</creatorcontrib><title>Aging-Related Multisystem Dysregulation Over the Adult Life Span and Physical Function in Later Life: The Atherosclerosis Risk in Communities (ARIC) Study</title><title>The journals of gerontology. Series A, Biological sciences and medical sciences</title><addtitle>J Gerontol A Biol Sci Med Sci</addtitle><description>Abstract Background Multisystem dysregulation (Dm) shows promise as a metric of aging and predicts mortality. However, Dm needs to be studied with less severe endpoints indicating modifiable aging stages. Physical function, reflecting healthy longevity rather than just longevity, is more relevant to the goals of geroscience but has not been well investigated. Methods We tested the association of midlife Dm and its change over ~20 years with physical function in later life in 5 583 the Atherosclerosis Risk in Communities Study cohort participants (baseline mean age 54.7). Dm quantifies the multivariate statistical deviation of 17 physiologically motivated biomarkers relative to their distribution in a young healthy sample at baseline. Physical function was assessed from grip strength and the Short Physical Performance Battery (SPPB). Associations were quantified using linear regression and ordinal logistic regression adjusting for age, sex, race, and education. Results Each unit increment in midlife Dm was associated with 1.71 times the odds of having a lower SPPB score. Compared to the first quartile of midlife Dm, the odds ratios of having a lower SPPB score were 1.25, 1.56, and 2.45, respectively, for the second–fourth quartiles. Similar graded association patterns were observed for each SPPB component test and grip strength. An inverse monotonic relationship also was observed between the annual growth rate of Dm and physical function. Conclusion Greater Dm and progression in midlife were associated with lower physical function in later life. Future studies on the factors that lead to the progression of Dm may highlight opportunities to preserve physical function.</description><subject>Aging</subject><subject>Aging - physiology</subject><subject>Arteriosclerosis</subject><subject>Atherosclerosis</subject><subject>Atherosclerosis - epidemiology</subject><subject>Biomarkers</subject><subject>Humans</subject><subject>Life span</subject><subject>Longevity</subject><subject>Mortality</subject><subject>THE JOURNAL OF GERONTOLOGY: Medical Sciences</subject><issn>1079-5006</issn><issn>1758-535X</issn><issn>1758-535X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNqFkc1u1DAUhSMEoqWwZYkssWkXaW3HjhM21WigUGlQ0bRI7CwndjIuiT34p1JepU9bpzNUwAYv7Cvd7x7d45NlbxE8RbAuznrlrBFn_SBaXJTPskPEaJXTgv54nmrI6pxCWB5kr7y_hfOh-GV2UJSEFmVVHWb3i16bPl-rQQQlwdc4BO0nH9QIPk7eqT6mhrYGXN0pB8JGgYVMDFjpToHrrTBAGAm-bSavWzGAi2jaR1wbsEqK7hH8AG7mwTTtrG-H-dYerLX_OXNLO47R6KCVB8eL9eXyBFyHKKfX2YtODF692b9H2feLTzfLL_nq6vPlcrHK22Qi5KoTQjaNaHAtGaFtRRhUhNUVYl2FJWokIriqG9gVCJGyq5sGF4wRiEmHWSOLo-x8p7uNzahkq0xwYuBbp0fhJm6F5n93jN7w3t5xBIuaUkqSwvFewdlfUfnAR-1bNQzCKBs9x4yQkqGawIS-_we9tdGZ5I_jeXPGIK4Sdbqj2vRVKYXuaRsE-Zw73-XO97mngXd_enjCfwedgJMdYOP2f2IPEqC7lw</recordid><startdate>20230802</startdate><enddate>20230802</enddate><creator>Lu, Yifei</creator><creator>Pike, James R</creator><creator>Kucharska-Newton, Anna M</creator><creator>Palta, Priya</creator><creator>Whitsel, Eric A</creator><creator>Bey, Ganga S</creator><creator>Zannas, Anthony S</creator><creator>Windham, B Gwen</creator><creator>Walker, Keenan A</creator><creator>Griswold, Michael</creator><creator>Heiss, Gerardo</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>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-6858-620X</orcidid><orcidid>https://orcid.org/0000-0001-8907-4898</orcidid></search><sort><creationdate>20230802</creationdate><title>Aging-Related Multisystem Dysregulation Over the Adult Life Span and Physical Function in Later Life: The Atherosclerosis Risk in Communities (ARIC) Study</title><author>Lu, Yifei ; Pike, James R ; Kucharska-Newton, Anna M ; Palta, Priya ; Whitsel, Eric A ; Bey, Ganga S ; Zannas, Anthony S ; Windham, B Gwen ; Walker, Keenan A ; Griswold, Michael ; Heiss, Gerardo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c453t-efaadbbab29d745c8470e479817f82d1bd14289b0f31146f9bb23774024f27bd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Aging</topic><topic>Aging - physiology</topic><topic>Arteriosclerosis</topic><topic>Atherosclerosis</topic><topic>Atherosclerosis - epidemiology</topic><topic>Biomarkers</topic><topic>Humans</topic><topic>Life span</topic><topic>Longevity</topic><topic>Mortality</topic><topic>THE JOURNAL OF GERONTOLOGY: Medical Sciences</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lu, Yifei</creatorcontrib><creatorcontrib>Pike, James R</creatorcontrib><creatorcontrib>Kucharska-Newton, Anna M</creatorcontrib><creatorcontrib>Palta, Priya</creatorcontrib><creatorcontrib>Whitsel, Eric A</creatorcontrib><creatorcontrib>Bey, Ganga S</creatorcontrib><creatorcontrib>Zannas, Anthony S</creatorcontrib><creatorcontrib>Windham, B Gwen</creatorcontrib><creatorcontrib>Walker, Keenan A</creatorcontrib><creatorcontrib>Griswold, Michael</creatorcontrib><creatorcontrib>Heiss, Gerardo</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 Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>The journals of gerontology. Series A, Biological sciences and medical sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lu, Yifei</au><au>Pike, James R</au><au>Kucharska-Newton, Anna M</au><au>Palta, Priya</au><au>Whitsel, Eric A</au><au>Bey, Ganga S</au><au>Zannas, Anthony S</au><au>Windham, B Gwen</au><au>Walker, Keenan A</au><au>Griswold, Michael</au><au>Heiss, Gerardo</au><au>Lipsitz, Lewis A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Aging-Related Multisystem Dysregulation Over the Adult Life Span and Physical Function in Later Life: The Atherosclerosis Risk in Communities (ARIC) Study</atitle><jtitle>The journals of gerontology. Series A, Biological sciences and medical sciences</jtitle><addtitle>J Gerontol A Biol Sci Med Sci</addtitle><date>2023-08-02</date><risdate>2023</risdate><volume>78</volume><issue>8</issue><spage>1497</spage><epage>1503</epage><pages>1497-1503</pages><issn>1079-5006</issn><issn>1758-535X</issn><eissn>1758-535X</eissn><abstract>Abstract Background Multisystem dysregulation (Dm) shows promise as a metric of aging and predicts mortality. However, Dm needs to be studied with less severe endpoints indicating modifiable aging stages. Physical function, reflecting healthy longevity rather than just longevity, is more relevant to the goals of geroscience but has not been well investigated. Methods We tested the association of midlife Dm and its change over ~20 years with physical function in later life in 5 583 the Atherosclerosis Risk in Communities Study cohort participants (baseline mean age 54.7). Dm quantifies the multivariate statistical deviation of 17 physiologically motivated biomarkers relative to their distribution in a young healthy sample at baseline. Physical function was assessed from grip strength and the Short Physical Performance Battery (SPPB). Associations were quantified using linear regression and ordinal logistic regression adjusting for age, sex, race, and education. Results Each unit increment in midlife Dm was associated with 1.71 times the odds of having a lower SPPB score. Compared to the first quartile of midlife Dm, the odds ratios of having a lower SPPB score were 1.25, 1.56, and 2.45, respectively, for the second–fourth quartiles. Similar graded association patterns were observed for each SPPB component test and grip strength. An inverse monotonic relationship also was observed between the annual growth rate of Dm and physical function. Conclusion Greater Dm and progression in midlife were associated with lower physical function in later life. 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source Oxford Journals Online
subjects Aging
Aging - physiology
Arteriosclerosis
Atherosclerosis
Atherosclerosis - epidemiology
Biomarkers
Humans
Life span
Longevity
Mortality
THE JOURNAL OF GERONTOLOGY: Medical Sciences
title Aging-Related Multisystem Dysregulation Over the Adult Life Span and Physical Function in Later Life: The Atherosclerosis Risk in Communities (ARIC) Study
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