{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,26]],"date-time":"2026-09-26T20:32:56Z","timestamp":1790454776800,"version":"4.1.0"},"reference-count":55,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2025,5,20]],"date-time":"2025-05-20T00:00:00Z","timestamp":1747699200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["American J Industrial Med"],"published-print":{"date-parts":[[2025,7]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>Prior research has observed increased risks for numerous chronic conditions among individuals with Long COVID. Chronic conditions have been associated with employment limitations and increased economic hardships. Data from the Behavioral Risk Factor Surveillance System (BRFSS) present an opportunity to examine changes by employment status in the prevalence of a range of chronic conditions between 2019 (pre\u2010pandemic) and, in 2022, by self\u2010reported COVID\u201019 or Long COVID.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We assessed the prevalence of chronic conditions in 2022 by employment status and self\u2010reported COVID\u201019 and Long COVID history using data from BRFSS for adults of prime working age (25\u201354 years) who were employed for wages, self\u2010employed, unemployed less than 1 year, unemployed 1 year or more, or unable to work. For each chronic condition (coronary heart disease and myocardial infarction [combined], stroke, ever and current asthma, chronic obstructive pulmonary disease, kidney disease, diabetes, and arthritis), we generated adjusted prevalence ratios (aPRs) comparing 2022 prevalence by COVID\u201019\/Long COVID category to prevalences among respondents in that employment status before the pandemic (2019).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The prevalence of both asthma and diabetes increased significantly between 2019 and 2022 among respondents in all included employment categories and COVID\u201019\/Long COVID histories combined. Among employed respondents with Long COVID in 2022, aPRs using 2019 prevalence figures for all employed respondents as a baseline for comparison had statistically significant elevations for every chronic condition assessed.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The increased prevalence of a range of chronic conditions between 2019 and 2022 among adults with Long COVID may present a burden for individuals, the workplace, the healthcare system, and the economy. Additional research in a longitudinal context could better quantify these associations. Efforts to prevent, identify, and treat Long COVID can reduce this burden.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/ajim.23735","type":"journal-article","created":{"date-parts":[[2025,5,20]],"date-time":"2025-05-20T07:36:30Z","timestamp":1747726590000},"page":"620-630","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Burden of Selected Chronic Conditions Among Adults of Prime Working Age (25\u201354) by 2022 Self\u2010Reported COVID\u201019 and Long COVID History Compared to 2019 Pre\u2010Pandemic Baseline Prevalence: Behavioral Risk Factor Surveillance System"],"prefix":"10.1002","volume":"68","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7679-5028","authenticated-orcid":false,"given":"Sharon R.","family":"Silver","sequence":"first","affiliation":[{"name":"National Institute for Occupational Safety and Health, Division of Field Studies and Engineering, Health Informatics Branch Cincinnati Ohio USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jia","family":"Li","sequence":"additional","affiliation":[{"name":"National Institute for Occupational Safety and Health, Division of Field Studies and Engineering, Health Informatics Branch Cincinnati Ohio USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sharon H.","family":"Saydah","sequence":"additional","affiliation":[{"name":"Centers for Disease Control and Protection, Coronaviruses and Other Respiratory Viruses Division, Epidemiology Branch Atlanta Georgia USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2025,5,20]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(24)01136-X"},{"key":"e_1_2_11_3_1","doi-asserted-by":"publisher","DOI":"10.1113\/EP090802"},{"key":"e_1_2_11_4_1","doi-asserted-by":"publisher","DOI":"10.1377\/hlthaff.2022.00991"},{"key":"e_1_2_11_5_1","doi-asserted-by":"publisher","DOI":"10.1001\/jamainternmed.2023.0750"},{"key":"e_1_2_11_6_1","doi-asserted-by":"publisher","DOI":"10.1038\/s43856-024-00549-0"},{"key":"e_1_2_11_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/S2213-8587(22)00324-2"},{"key":"e_1_2_11_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/S2213-8587(24)00159-1"},{"key":"e_1_2_11_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/S2213-8587(22)00044-4"},{"key":"e_1_2_11_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11940-023-00747-6"},{"key":"e_1_2_11_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.athplu.2023.06.002"},{"key":"e_1_2_11_12_1","doi-asserted-by":"publisher","DOI":"10.1080\/17474086.2023.2288154"},{"key":"e_1_2_11_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmi.2024.01.028"},{"key":"e_1_2_11_14_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41579-022-00846-2"},{"key":"e_1_2_11_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajpath.2024.06.004"},{"key":"e_1_2_11_16_1","doi-asserted-by":"publisher","DOI":"10.1038\/s43856-024-00539-2"},{"key":"e_1_2_11_17_1","doi-asserted-by":"publisher","DOI":"10.3949\/ccjm.88a.21010"},{"key":"e_1_2_11_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.focus.2024.100242"},{"key":"e_1_2_11_19_1","doi-asserted-by":"publisher","DOI":"10.1097\/JOM.0000000000003026"},{"key":"e_1_2_11_20_1","doi-asserted-by":"publisher","DOI":"10.1001\/jamahealthforum.2023.0010"},{"key":"e_1_2_11_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.amepre.2024.05.007"},{"key":"e_1_2_11_22_1","doi-asserted-by":"publisher","DOI":"10.21034\/iwp.60"},{"key":"e_1_2_11_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ssmph.2023.101586"},{"key":"e_1_2_11_24_1","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2023.47318"},{"key":"e_1_2_11_25_1","doi-asserted-by":"publisher","DOI":"10.1007\/s15010-020-01509-1"},{"key":"e_1_2_11_26_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12939-020-01242-z"},{"key":"e_1_2_11_27_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ypmed.2019.01.006"},{"key":"e_1_2_11_28_1","unstructured":"\u201cCivilian Labor Force Participation Rate by Age Sex Race and Ethnicity. 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