Association of Race and Poverty Status With DNA Methylation-Based Age
The Dunedin Pace of Aging Calculated From the Epigenome (DunedinPACE) measure is a newly constructed DNA methylation (DNAm) biomarker associated with morbidity, mortality, and adverse childhood experiences in several cohorts with European ancestry. However, there are few studies of the DunedinPACE m...
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description | The Dunedin Pace of Aging Calculated From the Epigenome (DunedinPACE) measure is a newly constructed DNA methylation (DNAm) biomarker associated with morbidity, mortality, and adverse childhood experiences in several cohorts with European ancestry. However, there are few studies of the DunedinPACE measure among socioeconomically and racially diverse cohorts with longitudinal assessments.
To investigate the association of race and poverty status with DunedinPACE scores in a socioeconomically diverse middle-aged cohort of African American and White participants.
This longitudinal cohort study used data from the Healthy Aging in Neighborhoods of Diversity Across the Life Span (HANDLS) study. HANDLS is a population-based study of socioeconomically diverse African American and White adults aged 30 to 64 years at baseline in Baltimore, Maryland, with follow-up approximately every 5 years. The current study was restricted to 470 participants with blood samples at 2 time points: August 14, 2004, to June 22, 2009 (visit 1), and June 23, 2009, to September 12, 2017 (visit 2). Genome-wide DNAm was assessed at visit 1 (chronological age, 30-64 years) and visit 2. Data were analyzed from March 18, 2022, to February 9, 2023.
DunedinPACE scores were estimated for each participant at 2 visits. DunedinPACE scores are values scaled to a mean of 1, interpretable with reference to a rate of 1 year of biological aging per 1 year of chronological aging. Linear mixed-model regression analysis was used to examine the trajectories of DunedinPACE scores by chronological age, race, sex, and poverty status.
Among 470 participants, the mean (SD) chronological age at visit 1 was 48.7 (8.7) years. Participants were balanced by sex (238 [50.6%] were men and 232 [49.4%] were women), race (237 [50.4%] African American and 233 [49.6%] White), and poverty status (236 [50.2%] living below poverty level and 234 [49.8%] living above poverty level). The mean (SD) time between visits was 5.1 (1.5) years. Overall, the mean (SD) DunedinPACE score was 1.07 (0.14), representing a 7% faster pace of biological aging than chronological aging. Linear mixed-effects regression analysis revealed an association between the 2-way interaction between race and poverty status (White race and household income below poverty level: β = 0.0665; 95% CI, 0.0298-0.1031; P |
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To investigate the association of race and poverty status with DunedinPACE scores in a socioeconomically diverse middle-aged cohort of African American and White participants.
This longitudinal cohort study used data from the Healthy Aging in Neighborhoods of Diversity Across the Life Span (HANDLS) study. HANDLS is a population-based study of socioeconomically diverse African American and White adults aged 30 to 64 years at baseline in Baltimore, Maryland, with follow-up approximately every 5 years. The current study was restricted to 470 participants with blood samples at 2 time points: August 14, 2004, to June 22, 2009 (visit 1), and June 23, 2009, to September 12, 2017 (visit 2). Genome-wide DNAm was assessed at visit 1 (chronological age, 30-64 years) and visit 2. Data were analyzed from March 18, 2022, to February 9, 2023.
DunedinPACE scores were estimated for each participant at 2 visits. DunedinPACE scores are values scaled to a mean of 1, interpretable with reference to a rate of 1 year of biological aging per 1 year of chronological aging. Linear mixed-model regression analysis was used to examine the trajectories of DunedinPACE scores by chronological age, race, sex, and poverty status.
Among 470 participants, the mean (SD) chronological age at visit 1 was 48.7 (8.7) years. Participants were balanced by sex (238 [50.6%] were men and 232 [49.4%] were women), race (237 [50.4%] African American and 233 [49.6%] White), and poverty status (236 [50.2%] living below poverty level and 234 [49.8%] living above poverty level). The mean (SD) time between visits was 5.1 (1.5) years. Overall, the mean (SD) DunedinPACE score was 1.07 (0.14), representing a 7% faster pace of biological aging than chronological aging. Linear mixed-effects regression analysis revealed an association between the 2-way interaction between race and poverty status (White race and household income below poverty level: β = 0.0665; 95% CI, 0.0298-0.1031; P < .001) and significantly higher DunedinPACE scores and an association between quadratic age (age squared: β = -0.0113; 95% CI, -0.0212 to -0.0013; P = .03) and significantly higher DunedinPACE scores.
In this cohort study, household income below poverty level and African American race were associated with higher DunedinPACE scores. These findings suggest that the DunedinPACE biomarker varies with race and poverty status as adverse social determinants of health. Consequently, measures of accelerated aging should be based on representative samples.</description><identifier>ISSN: 2574-3805</identifier><identifier>EISSN: 2574-3805</identifier><identifier>DOI: 10.1001/jamanetworkopen.2023.6340</identifier><identifier>PMID: 37027157</identifier><language>eng</language><publisher>United States: American Medical Association</publisher><subject>Adult ; Adverse childhood experiences ; African Americans ; Age ; Aging ; Biomarkers ; Cohort analysis ; Cohort Studies ; DNA Methylation ; Family income ; Female ; Genetics and Genomics ; Humans ; Longitudinal Studies ; Male ; Middle Aged ; Online Only ; Original Investigation ; Poverty ; Regression analysis ; White</subject><ispartof>JAMA network open, 2023-04, Vol.6 (4), p.e236340-e236340</ispartof><rights>2023. This work is published under https://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>Copyright 2023 Shen B et al. .</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a471t-ceaa9771eb7fd254092c8f287e399efc0ec150bf8565814de431e3772f0e1e7c3</citedby><cites>FETCH-LOGICAL-a471t-ceaa9771eb7fd254092c8f287e399efc0ec150bf8565814de431e3772f0e1e7c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,860,881,27903,27904</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37027157$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Shen, Botong</creatorcontrib><creatorcontrib>Mode, Nicolle A</creatorcontrib><creatorcontrib>Noren Hooten, Nicole</creatorcontrib><creatorcontrib>Pacheco, Natasha L</creatorcontrib><creatorcontrib>Ezike, Ngozi</creatorcontrib><creatorcontrib>Zonderman, Alan B</creatorcontrib><creatorcontrib>Evans, Michele K</creatorcontrib><title>Association of Race and Poverty Status With DNA Methylation-Based Age</title><title>JAMA network open</title><addtitle>JAMA Netw Open</addtitle><description>The Dunedin Pace of Aging Calculated From the Epigenome (DunedinPACE) measure is a newly constructed DNA methylation (DNAm) biomarker associated with morbidity, mortality, and adverse childhood experiences in several cohorts with European ancestry. However, there are few studies of the DunedinPACE measure among socioeconomically and racially diverse cohorts with longitudinal assessments.
To investigate the association of race and poverty status with DunedinPACE scores in a socioeconomically diverse middle-aged cohort of African American and White participants.
This longitudinal cohort study used data from the Healthy Aging in Neighborhoods of Diversity Across the Life Span (HANDLS) study. HANDLS is a population-based study of socioeconomically diverse African American and White adults aged 30 to 64 years at baseline in Baltimore, Maryland, with follow-up approximately every 5 years. The current study was restricted to 470 participants with blood samples at 2 time points: August 14, 2004, to June 22, 2009 (visit 1), and June 23, 2009, to September 12, 2017 (visit 2). Genome-wide DNAm was assessed at visit 1 (chronological age, 30-64 years) and visit 2. Data were analyzed from March 18, 2022, to February 9, 2023.
DunedinPACE scores were estimated for each participant at 2 visits. DunedinPACE scores are values scaled to a mean of 1, interpretable with reference to a rate of 1 year of biological aging per 1 year of chronological aging. Linear mixed-model regression analysis was used to examine the trajectories of DunedinPACE scores by chronological age, race, sex, and poverty status.
Among 470 participants, the mean (SD) chronological age at visit 1 was 48.7 (8.7) years. Participants were balanced by sex (238 [50.6%] were men and 232 [49.4%] were women), race (237 [50.4%] African American and 233 [49.6%] White), and poverty status (236 [50.2%] living below poverty level and 234 [49.8%] living above poverty level). The mean (SD) time between visits was 5.1 (1.5) years. Overall, the mean (SD) DunedinPACE score was 1.07 (0.14), representing a 7% faster pace of biological aging than chronological aging. Linear mixed-effects regression analysis revealed an association between the 2-way interaction between race and poverty status (White race and household income below poverty level: β = 0.0665; 95% CI, 0.0298-0.1031; P < .001) and significantly higher DunedinPACE scores and an association between quadratic age (age squared: β = -0.0113; 95% CI, -0.0212 to -0.0013; P = .03) and significantly higher DunedinPACE scores.
In this cohort study, household income below poverty level and African American race were associated with higher DunedinPACE scores. These findings suggest that the DunedinPACE biomarker varies with race and poverty status as adverse social determinants of health. Consequently, measures of accelerated aging should be based on representative samples.</description><subject>Adult</subject><subject>Adverse childhood experiences</subject><subject>African Americans</subject><subject>Age</subject><subject>Aging</subject><subject>Biomarkers</subject><subject>Cohort analysis</subject><subject>Cohort Studies</subject><subject>DNA Methylation</subject><subject>Family income</subject><subject>Female</subject><subject>Genetics and Genomics</subject><subject>Humans</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Online Only</subject><subject>Original Investigation</subject><subject>Poverty</subject><subject>Regression analysis</subject><subject>White</subject><issn>2574-3805</issn><issn>2574-3805</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkUlP8zAQhi0EAgT8BWTEhUvK2I7j5IT6sUtsYhFHy3UmNP3SuNgOqP-elE3AaUaaZ95ZXkJ2GAwYANufmKlpMb46_9_NsB1w4GKQiRSWyDqXKk1EDnL5R75GtkKYAAAHJopMrpI1oYArJtU6OR6G4GxtYu1a6ip6ayxS05b0xr2gj3N6F03sAn2s45geXQ3pJcbxvHnnk38mYEmHT7hJVirTBNz6jBvk4eT4_vAsubg-PT8cXiQmVSwmFo0plGI4UlXJZQoFt3nFc4WiKLCygJZJGFW5zGTO0hJTwVAoxStAhsqKDXLwoTvrRlMsLbbRm0bPfD01fq6dqfXvSluP9ZN70f3ncp5C1ivsfSp499xhiHpaB4tN0__UdUFzVeQKCiVVj-7-QSeu821_nxZM5CmDTLKeKj4o610IHqvvbRgsxjL9xzC9MEwvDOt7t3-e8935ZY94A8V8lhw</recordid><startdate>20230403</startdate><enddate>20230403</enddate><creator>Shen, Botong</creator><creator>Mode, Nicolle A</creator><creator>Noren Hooten, Nicole</creator><creator>Pacheco, Natasha L</creator><creator>Ezike, Ngozi</creator><creator>Zonderman, Alan B</creator><creator>Evans, Michele K</creator><general>American Medical Association</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>7X8</scope><scope>5PM</scope></search><sort><creationdate>20230403</creationdate><title>Association of Race and Poverty Status With DNA Methylation-Based Age</title><author>Shen, Botong ; Mode, Nicolle A ; Noren Hooten, Nicole ; Pacheco, Natasha L ; Ezike, Ngozi ; Zonderman, Alan B ; Evans, Michele K</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a471t-ceaa9771eb7fd254092c8f287e399efc0ec150bf8565814de431e3772f0e1e7c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Adult</topic><topic>Adverse childhood experiences</topic><topic>African Americans</topic><topic>Age</topic><topic>Aging</topic><topic>Biomarkers</topic><topic>Cohort analysis</topic><topic>Cohort Studies</topic><topic>DNA Methylation</topic><topic>Family income</topic><topic>Female</topic><topic>Genetics and Genomics</topic><topic>Humans</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Online Only</topic><topic>Original Investigation</topic><topic>Poverty</topic><topic>Regression analysis</topic><topic>White</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shen, Botong</creatorcontrib><creatorcontrib>Mode, Nicolle A</creatorcontrib><creatorcontrib>Noren Hooten, Nicole</creatorcontrib><creatorcontrib>Pacheco, Natasha L</creatorcontrib><creatorcontrib>Ezike, Ngozi</creatorcontrib><creatorcontrib>Zonderman, Alan B</creatorcontrib><creatorcontrib>Evans, Michele K</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 & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>JAMA network open</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shen, Botong</au><au>Mode, Nicolle A</au><au>Noren Hooten, Nicole</au><au>Pacheco, Natasha L</au><au>Ezike, Ngozi</au><au>Zonderman, Alan B</au><au>Evans, Michele K</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Association of Race and Poverty Status With DNA Methylation-Based Age</atitle><jtitle>JAMA network open</jtitle><addtitle>JAMA Netw Open</addtitle><date>2023-04-03</date><risdate>2023</risdate><volume>6</volume><issue>4</issue><spage>e236340</spage><epage>e236340</epage><pages>e236340-e236340</pages><issn>2574-3805</issn><eissn>2574-3805</eissn><abstract>The Dunedin Pace of Aging Calculated From the Epigenome (DunedinPACE) measure is a newly constructed DNA methylation (DNAm) biomarker associated with morbidity, mortality, and adverse childhood experiences in several cohorts with European ancestry. However, there are few studies of the DunedinPACE measure among socioeconomically and racially diverse cohorts with longitudinal assessments.
To investigate the association of race and poverty status with DunedinPACE scores in a socioeconomically diverse middle-aged cohort of African American and White participants.
This longitudinal cohort study used data from the Healthy Aging in Neighborhoods of Diversity Across the Life Span (HANDLS) study. HANDLS is a population-based study of socioeconomically diverse African American and White adults aged 30 to 64 years at baseline in Baltimore, Maryland, with follow-up approximately every 5 years. The current study was restricted to 470 participants with blood samples at 2 time points: August 14, 2004, to June 22, 2009 (visit 1), and June 23, 2009, to September 12, 2017 (visit 2). Genome-wide DNAm was assessed at visit 1 (chronological age, 30-64 years) and visit 2. Data were analyzed from March 18, 2022, to February 9, 2023.
DunedinPACE scores were estimated for each participant at 2 visits. DunedinPACE scores are values scaled to a mean of 1, interpretable with reference to a rate of 1 year of biological aging per 1 year of chronological aging. Linear mixed-model regression analysis was used to examine the trajectories of DunedinPACE scores by chronological age, race, sex, and poverty status.
Among 470 participants, the mean (SD) chronological age at visit 1 was 48.7 (8.7) years. Participants were balanced by sex (238 [50.6%] were men and 232 [49.4%] were women), race (237 [50.4%] African American and 233 [49.6%] White), and poverty status (236 [50.2%] living below poverty level and 234 [49.8%] living above poverty level). The mean (SD) time between visits was 5.1 (1.5) years. Overall, the mean (SD) DunedinPACE score was 1.07 (0.14), representing a 7% faster pace of biological aging than chronological aging. Linear mixed-effects regression analysis revealed an association between the 2-way interaction between race and poverty status (White race and household income below poverty level: β = 0.0665; 95% CI, 0.0298-0.1031; P < .001) and significantly higher DunedinPACE scores and an association between quadratic age (age squared: β = -0.0113; 95% CI, -0.0212 to -0.0013; P = .03) and significantly higher DunedinPACE scores.
In this cohort study, household income below poverty level and African American race were associated with higher DunedinPACE scores. These findings suggest that the DunedinPACE biomarker varies with race and poverty status as adverse social determinants of health. Consequently, measures of accelerated aging should be based on representative samples.</abstract><cop>United States</cop><pub>American Medical Association</pub><pmid>37027157</pmid><doi>10.1001/jamanetworkopen.2023.6340</doi><oa>free_for_read</oa></addata></record> |
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subjects | Adult Adverse childhood experiences African Americans Age Aging Biomarkers Cohort analysis Cohort Studies DNA Methylation Family income Female Genetics and Genomics Humans Longitudinal Studies Male Middle Aged Online Only Original Investigation Poverty Regression analysis White |
title | Association of Race and Poverty Status With DNA Methylation-Based Age |
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