{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T06:41:22Z","timestamp":1791614482942,"version":"4.3.4"},"reference-count":35,"publisher":"Oxford University Press (OUP)","issue":"5","license":[{"start":{"date-parts":[[2026,9,8]],"date-time":"2026-09-08T00:00:00Z","timestamp":1788825600000},"content-version":"vor","delay-in-days":35,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100009708","name":"Novo Nordisk Foundation","doi-asserted-by":"publisher","award":["NNF17OC0027812"],"award-info":[{"award-number":["NNF17OC0027812"]}],"id":[{"id":"10.13039\/501100009708","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100009708","name":"Novo Nordisk Foundation","doi-asserted-by":"publisher","award":["NNF17OC0027594"],"award-info":[{"award-number":["NNF17OC0027594"]}],"id":[{"id":"10.13039\/501100009708","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,8,4]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Individual socioeconomic position is known to affect the progression of disease and mortality after disease onset. Existing studies generally focus on single diseases, making it unclear whether this is a universal pattern or a common characteristic across disease classes. The objective of this study is to examine educational and income inequalities in life expectancy after diagnosis of noncommunicable diseases. Based on full population Danish registers (N\u2009=\u20094\u00a0420\u00a0226), we created multistate models for 64 noncommunicable diseases according to education, income, age and sex. Transition probabilities from healthy to sick and deceased were estimated with a multinomial logit model and used for the construction of life tables from which we estimated life expectancy after diagnosis. We observed education and income inequalities in life expectancy after diagnosis across all noncommunicable diseases studied for both men and women. For example, a woman diagnosed with cirrhosis of the liver at age 50, has a life expectancy of almost 17\u2009years if she has a high education and 14\u2009years if she has a low education. For men, life expectancy after diagnosis of cirrhosis is 13\u2009years for the high educated and 10\u2009years for the low educated. Our findings show that socioeconomic inequalities in life expectancy after disease onset are consistent across a wide range of noncommunicable diseases. In terms of policy, our study highlights the need for interventions that reduce the accumulation of risk before individuals become patients, and strengthen the healthcare system\u2019s ability to mitigate inequalities.<\/jats:p>","DOI":"10.1093\/eurpub\/ckag157","type":"journal-article","created":{"date-parts":[[2026,8,10]],"date-time":"2026-08-10T11:20:50Z","timestamp":1786360850000},"source":"Crossref","is-referenced-by-count":1,"title":["Disparity in disease, equality in death? Socioeconomic disparities in life expectancy after disease onset: a full-population cohort study over 64 non-communicable diseases in Denmark 2013\u20132022"],"prefix":"10.1093","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1784-0271","authenticated-orcid":false,"given":"Anna Vera J","family":"Pallesen","sequence":"first","affiliation":[{"name":"Statistics Denmark Methods and Analysis, , Copenhagen,","place":["Denmark"]},{"name":"Department of Public Health, University of Copenhagen , Copenhagen,","place":["Denmark"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jochen O","family":"Mierau","sequence":"additional","affiliation":[{"name":"University Medical Center Groningen , Groningen,","place":["The Netherlands"]},{"name":"University of Groningen , Groningen,","place":["The Netherlands"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Laust H","family":"Mortensen","sequence":"additional","affiliation":[{"name":"Statistics Denmark Methods and Analysis, , Copenhagen,","place":["Denmark"]},{"name":"Department of Public Health, University of Copenhagen , Copenhagen,","place":["Denmark"]},{"name":"The Rockwool Foundation , Copenhagen,","place":["Denmark"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2026,9,8]]},"reference":[{"key":"2026100214362777600_ckag157-B1","doi-asserted-by":"publisher","first-page":"e916","DOI":"10.1016\/S2468-2667(24)00128-2","article-title":"Educational and income inequalities across diseases in Denmark: a register-based cohort study","volume":"9","author":"Pallesen","year":"2024","journal-title":"Lancet Public Health"},{"key":"2026100214362777600_ckag157-B2","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1016\/j.numecd.2022.09.018","article-title":"Socio-economic gradients in diagnosed and undiagnosed type 2 diabetes and its related health complication","volume":"33","author":"Zhu","year":"2023","journal-title":"Nutr 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