Socioeconomic inequalities in prevalence and development of multimorbidity across adulthood: A longitudinal analysis of the MRC 1946 National Survey of Health and Development in the UK
We aimed to estimate multimorbidity trajectories and quantify socioeconomic inequalities based on childhood and adulthood socioeconomic position (SEP) in the risks and rates of multimorbidity accumulation across adulthood. Participants from the UK 1946 National Survey of Health and Development (NSHD...
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description | We aimed to estimate multimorbidity trajectories and quantify socioeconomic inequalities based on childhood and adulthood socioeconomic position (SEP) in the risks and rates of multimorbidity accumulation across adulthood.
Participants from the UK 1946 National Survey of Health and Development (NSHD) birth cohort study who attended the age 36 years assessment in 1982 and any one of the follow-up assessments at ages 43, 53, 63, and 69 years (N = 3,723, 51% males). Information on 18 health conditions was based on a combination of self-report, biomarkers, health records, and prescribed medications. We estimated multimorbidity trajectories and delineated socioeconomic inequalities (based on childhood and adulthood social class and highest education) in multimorbidity at each age and in longitudinal trajectories. Multimorbidity increased with age (0.7 conditions at 36 years to 3.7 at 69 years). Multimorbidity accumulation was nonlinear, accelerating with age at the rate of 0.08 conditions/year (95% CI 0.07 to 0.09, p < 0.001) at 36 to 43 years to 0.19 conditions/year (95% CI 0.18 to 0.20, p < 0.001) at 63 to 69 years. At all ages, the most socioeconomically disadvantaged had 1.2 to 1.4 times greater number of conditions on average compared to the most advantaged. The most disadvantaged by each socioeconomic indicator experienced an additional 0.39 conditions (childhood social class), 0.83 (adult social class), and 1.08 conditions (adult education) at age 69 years, independent of all other socioeconomic indicators. Adverse adulthood SEP was associated with more rapid accumulation of multimorbidity, resulting in 0.49 excess conditions in partly/unskilled compared to professional/intermediate individuals between 63 and 69 years. Disadvantaged childhood social class, independently of adulthood SEP, was associated with accelerated multimorbidity trajectories from age 53 years onwards. Study limitations include that the NSHD cohort is composed of individuals of white European heritage only, and findings may not be generalizable to the non-white British population of the same generation and did not account for other important dimensions of SEP such as income and wealth.
In this study, we found that socioeconomically disadvantaged individuals have earlier onset and more rapid accumulation of multimorbidity resulting in widening inequalities into old age, with independent contributions from both childhood and adulthood SEP. |
doi_str_mv | 10.1371/journal.pmed.1003775 |
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Participants from the UK 1946 National Survey of Health and Development (NSHD) birth cohort study who attended the age 36 years assessment in 1982 and any one of the follow-up assessments at ages 43, 53, 63, and 69 years (N = 3,723, 51% males). Information on 18 health conditions was based on a combination of self-report, biomarkers, health records, and prescribed medications. We estimated multimorbidity trajectories and delineated socioeconomic inequalities (based on childhood and adulthood social class and highest education) in multimorbidity at each age and in longitudinal trajectories. Multimorbidity increased with age (0.7 conditions at 36 years to 3.7 at 69 years). Multimorbidity accumulation was nonlinear, accelerating with age at the rate of 0.08 conditions/year (95% CI 0.07 to 0.09, p < 0.001) at 36 to 43 years to 0.19 conditions/year (95% CI 0.18 to 0.20, p < 0.001) at 63 to 69 years. At all ages, the most socioeconomically disadvantaged had 1.2 to 1.4 times greater number of conditions on average compared to the most advantaged. The most disadvantaged by each socioeconomic indicator experienced an additional 0.39 conditions (childhood social class), 0.83 (adult social class), and 1.08 conditions (adult education) at age 69 years, independent of all other socioeconomic indicators. Adverse adulthood SEP was associated with more rapid accumulation of multimorbidity, resulting in 0.49 excess conditions in partly/unskilled compared to professional/intermediate individuals between 63 and 69 years. Disadvantaged childhood social class, independently of adulthood SEP, was associated with accelerated multimorbidity trajectories from age 53 years onwards. Study limitations include that the NSHD cohort is composed of individuals of white European heritage only, and findings may not be generalizable to the non-white British population of the same generation and did not account for other important dimensions of SEP such as income and wealth.
In this study, we found that socioeconomically disadvantaged individuals have earlier onset and more rapid accumulation of multimorbidity resulting in widening inequalities into old age, with independent contributions from both childhood and adulthood SEP.</description><identifier>ISSN: 1549-1676</identifier><identifier>ISSN: 1549-1277</identifier><identifier>EISSN: 1549-1676</identifier><identifier>DOI: 10.1371/journal.pmed.1003775</identifier><identifier>PMID: 34520470</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Adulthood ; Age ; Aged ; Arthritis ; Biology and Life Sciences ; Cardiovascular disease ; Child ; Children ; Chronic diseases ; Chronic illnesses ; Comorbidity ; Demographic aspects ; Diabetes ; Equality ; Health aspects ; Health Status Disparities ; Health Surveys ; Humans ; Hypertension ; Linear Models ; Longitudinal Studies ; Medicin och hälsovetenskap ; Medicine and Health Sciences ; Middle Aged ; Multimorbidity ; Prevalence ; Research and Analysis Methods ; Risk factors ; Skin cancer ; Social Class ; Social classes ; Social Sciences ; Socially handicapped ; Socioeconomic Factors ; Statistics ; United Kingdom - epidemiology</subject><ispartof>PLoS medicine, 2021-09, Vol.18 (9), p.e1003775-e1003775</ispartof><rights>COPYRIGHT 2021 Public Library of Science</rights><rights>2021 Khanolkar et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2021 Khanolkar et al 2021 Khanolkar et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c814t-ea11fd4bcd005ff5a74b9e80ea5dd60addbb16ef383ece283d0b82707685a78a3</citedby><cites>FETCH-LOGICAL-c814t-ea11fd4bcd005ff5a74b9e80ea5dd60addbb16ef383ece283d0b82707685a78a3</cites><orcidid>0000-0002-1560-1955 ; 0000-0001-5432-5271 ; 0000-0002-6211-2775 ; 0000-0002-6327-2463 ; 0000-0002-6454-626X ; 0000-0002-5341-3461</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/PMC8601600/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8601600/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,552,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34520470$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:148537875$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><contributor>Basu, Sanjay</contributor><creatorcontrib>Khanolkar, Amal R</creatorcontrib><creatorcontrib>Chaturvedi, Nishi</creatorcontrib><creatorcontrib>Kuan, Valerie</creatorcontrib><creatorcontrib>Davis, Daniel</creatorcontrib><creatorcontrib>Hughes, Alun</creatorcontrib><creatorcontrib>Richards, Marcus</creatorcontrib><creatorcontrib>Bann, David</creatorcontrib><creatorcontrib>Patalay, Praveetha</creatorcontrib><title>Socioeconomic inequalities in prevalence and development of multimorbidity across adulthood: A longitudinal analysis of the MRC 1946 National Survey of Health and Development in the UK</title><title>PLoS medicine</title><addtitle>PLoS Med</addtitle><description>We aimed to estimate multimorbidity trajectories and quantify socioeconomic inequalities based on childhood and adulthood socioeconomic position (SEP) in the risks and rates of multimorbidity accumulation across adulthood.
Participants from the UK 1946 National Survey of Health and Development (NSHD) birth cohort study who attended the age 36 years assessment in 1982 and any one of the follow-up assessments at ages 43, 53, 63, and 69 years (N = 3,723, 51% males). Information on 18 health conditions was based on a combination of self-report, biomarkers, health records, and prescribed medications. We estimated multimorbidity trajectories and delineated socioeconomic inequalities (based on childhood and adulthood social class and highest education) in multimorbidity at each age and in longitudinal trajectories. Multimorbidity increased with age (0.7 conditions at 36 years to 3.7 at 69 years). Multimorbidity accumulation was nonlinear, accelerating with age at the rate of 0.08 conditions/year (95% CI 0.07 to 0.09, p < 0.001) at 36 to 43 years to 0.19 conditions/year (95% CI 0.18 to 0.20, p < 0.001) at 63 to 69 years. At all ages, the most socioeconomically disadvantaged had 1.2 to 1.4 times greater number of conditions on average compared to the most advantaged. The most disadvantaged by each socioeconomic indicator experienced an additional 0.39 conditions (childhood social class), 0.83 (adult social class), and 1.08 conditions (adult education) at age 69 years, independent of all other socioeconomic indicators. Adverse adulthood SEP was associated with more rapid accumulation of multimorbidity, resulting in 0.49 excess conditions in partly/unskilled compared to professional/intermediate individuals between 63 and 69 years. Disadvantaged childhood social class, independently of adulthood SEP, was associated with accelerated multimorbidity trajectories from age 53 years onwards. Study limitations include that the NSHD cohort is composed of individuals of white European heritage only, and findings may not be generalizable to the non-white British population of the same generation and did not account for other important dimensions of SEP such as income and wealth.
In this study, we found that socioeconomically disadvantaged individuals have earlier onset and more rapid accumulation of multimorbidity resulting in widening inequalities into old age, with independent contributions from both childhood and adulthood SEP.</description><subject>Adult</subject><subject>Adulthood</subject><subject>Age</subject><subject>Aged</subject><subject>Arthritis</subject><subject>Biology and Life Sciences</subject><subject>Cardiovascular disease</subject><subject>Child</subject><subject>Children</subject><subject>Chronic diseases</subject><subject>Chronic illnesses</subject><subject>Comorbidity</subject><subject>Demographic aspects</subject><subject>Diabetes</subject><subject>Equality</subject><subject>Health aspects</subject><subject>Health Status Disparities</subject><subject>Health Surveys</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Linear Models</subject><subject>Longitudinal Studies</subject><subject>Medicin och hälsovetenskap</subject><subject>Medicine and Health Sciences</subject><subject>Middle Aged</subject><subject>Multimorbidity</subject><subject>Prevalence</subject><subject>Research and Analysis Methods</subject><subject>Risk factors</subject><subject>Skin cancer</subject><subject>Social Class</subject><subject>Social classes</subject><subject>Social Sciences</subject><subject>Socially handicapped</subject><subject>Socioeconomic Factors</subject><subject>Statistics</subject><subject>United Kingdom - 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Participants from the UK 1946 National Survey of Health and Development (NSHD) birth cohort study who attended the age 36 years assessment in 1982 and any one of the follow-up assessments at ages 43, 53, 63, and 69 years (N = 3,723, 51% males). Information on 18 health conditions was based on a combination of self-report, biomarkers, health records, and prescribed medications. We estimated multimorbidity trajectories and delineated socioeconomic inequalities (based on childhood and adulthood social class and highest education) in multimorbidity at each age and in longitudinal trajectories. Multimorbidity increased with age (0.7 conditions at 36 years to 3.7 at 69 years). Multimorbidity accumulation was nonlinear, accelerating with age at the rate of 0.08 conditions/year (95% CI 0.07 to 0.09, p < 0.001) at 36 to 43 years to 0.19 conditions/year (95% CI 0.18 to 0.20, p < 0.001) at 63 to 69 years. At all ages, the most socioeconomically disadvantaged had 1.2 to 1.4 times greater number of conditions on average compared to the most advantaged. The most disadvantaged by each socioeconomic indicator experienced an additional 0.39 conditions (childhood social class), 0.83 (adult social class), and 1.08 conditions (adult education) at age 69 years, independent of all other socioeconomic indicators. Adverse adulthood SEP was associated with more rapid accumulation of multimorbidity, resulting in 0.49 excess conditions in partly/unskilled compared to professional/intermediate individuals between 63 and 69 years. Disadvantaged childhood social class, independently of adulthood SEP, was associated with accelerated multimorbidity trajectories from age 53 years onwards. Study limitations include that the NSHD cohort is composed of individuals of white European heritage only, and findings may not be generalizable to the non-white British population of the same generation and did not account for other important dimensions of SEP such as income and wealth.
In this study, we found that socioeconomically disadvantaged individuals have earlier onset and more rapid accumulation of multimorbidity resulting in widening inequalities into old age, with independent contributions from both childhood and adulthood SEP.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>34520470</pmid><doi>10.1371/journal.pmed.1003775</doi><orcidid>https://orcid.org/0000-0002-1560-1955</orcidid><orcidid>https://orcid.org/0000-0001-5432-5271</orcidid><orcidid>https://orcid.org/0000-0002-6211-2775</orcidid><orcidid>https://orcid.org/0000-0002-6327-2463</orcidid><orcidid>https://orcid.org/0000-0002-6454-626X</orcidid><orcidid>https://orcid.org/0000-0002-5341-3461</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adult Adulthood Age Aged Arthritis Biology and Life Sciences Cardiovascular disease Child Children Chronic diseases Chronic illnesses Comorbidity Demographic aspects Diabetes Equality Health aspects Health Status Disparities Health Surveys Humans Hypertension Linear Models Longitudinal Studies Medicin och hälsovetenskap Medicine and Health Sciences Middle Aged Multimorbidity Prevalence Research and Analysis Methods Risk factors Skin cancer Social Class Social classes Social Sciences Socially handicapped Socioeconomic Factors Statistics United Kingdom - epidemiology |
title | Socioeconomic inequalities in prevalence and development of multimorbidity across adulthood: A longitudinal analysis of the MRC 1946 National Survey of Health and Development in the UK |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T01%3A46%3A18IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Socioeconomic%20inequalities%20in%20prevalence%20and%20development%20of%20multimorbidity%20across%20adulthood:%20A%20longitudinal%20analysis%20of%20the%20MRC%201946%20National%20Survey%20of%20Health%20and%20Development%20in%20the%20UK&rft.jtitle=PLoS%20medicine&rft.au=Khanolkar,%20Amal%20R&rft.date=2021-09-14&rft.volume=18&rft.issue=9&rft.spage=e1003775&rft.epage=e1003775&rft.pages=e1003775-e1003775&rft.issn=1549-1676&rft.eissn=1549-1676&rft_id=info:doi/10.1371/journal.pmed.1003775&rft_dat=%3Cgale_plos_%3EA677985655%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2582589643&rft_id=info:pmid/34520470&rft_galeid=A677985655&rft_doaj_id=oai_doaj_org_article_025ea47d561d486fb875ccf88357bace&rfr_iscdi=true |