{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,27]],"date-time":"2026-08-27T15:19:19Z","timestamp":1787843959093,"version":"build-2784847793"},"reference-count":130,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2026,8,6]],"date-time":"2026-08-06T00:00:00Z","timestamp":1785974400000},"content-version":"vor","delay-in-days":5,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["BCS\u20102147647"],"award-info":[{"award-number":["BCS\u20102147647"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["American J Hum Biol"],"published-print":{"date-parts":[[2026,8]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>Circadian rhythms influence activity cycles in humans, and circadian rhythm disruption (CRD) can negatively impact cardiometabolic disease risk and microbiome composition. This study documented CRD in a sample of nurses in Philadelphia, examining connections between CRD, disease risk, and work environment factors, proposing the concept of work\u2010influenced circadian disruption (WICD).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and Methods<\/jats:title>\n                    <jats:p>A total of 75 nurses were recruited for the study. Disease risk indicators included triglycerides (TRG), C\u2010reactive protein (hs\u2010CRP), blood pressure (BP), and fecal gut microbiome composition. Surveys recorded CRD via sleep\/exhaustion levels, weekly exercise, mealtime timing\/length, shift diet, and night shift work. Work environment variables included staff\/resources, physician\u2010nurse relations, break times, and patient care assignments. Mixed multiple regression models assessed CRD's associations with cardiometabolic disease risk indicators (H1) and work environment variables (H2). Microbiome similarity by CRD variables was tested using PERMANOVAs.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Lower exercise levels were associated with higher hs\u2010CRP (\u03b2\u2009=\u2009\u22124.2,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.05), TRG (\u03b2\u2009=\u2009\u22129.8,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.03), BP (\u03b2\u2009=\u2009\u22123.6,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.01), and less break time (\u03b2\u2009=\u20090.1,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.01). Higher exhaustion was linked to elevated hs\u2010CRP (\u03b2\u2009=\u20096.0,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.02) and fewer staff\/resources (\u03b2\u2009=\u2009\u22120.7,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.01). Less mealtime was associated with higher BP (\u03b2\u2009=\u2009\u22120.2,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.05) and shorter breaks (\u03b2\u2009=\u20090.2,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.04). Night shifts were linked to higher BP (\u03b2\u2009=\u20096.3,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.01). CRD variables were not significantly associated with microbiome profiles.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>CRD is associated with disease risk indicators and with work environment variables but not with microbiome profiles, suggesting these relationships may operate through other pathways. Further studies should explore biobehavioral networks in WICD.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/ajhb.70314","type":"journal-article","created":{"date-parts":[[2026,8,6]],"date-time":"2026-08-06T07:11:41Z","timestamp":1786000301000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Work\u2010Influenced Circadian Disruption Connected to Disease Risk but Not Microbiomes in a Cohort of Philadelphia Nurses"],"prefix":"10.1002","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2681-6281","authenticated-orcid":false,"given":"Clare","family":"Super","sequence":"first","affiliation":[{"name":"Department of Anthropology University of Pennsylvania  Philadelphia Pennsylvania USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maira","family":"Asif","sequence":"additional","affiliation":[{"name":"Department of Anthropology University of Pennsylvania  Philadelphia Pennsylvania USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8117-5387","authenticated-orcid":false,"given":"Charlene","family":"Compher","sequence":"additional","affiliation":[{"name":"Department of Biobehavioral Health Science University of Pennsylvania, School of Nursing  Philadelphia Pennsylvania USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9323-9237","authenticated-orcid":false,"given":"Theodore G.","family":"Schurr","sequence":"additional","affiliation":[{"name":"Department of Anthropology University of Pennsylvania  Philadelphia Pennsylvania USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6752-6483","authenticated-orcid":false,"given":"Morgan K.","family":"Hoke","sequence":"additional","affiliation":[{"name":"Department of Anthropology University of North Carolina  North Carolina USA"},{"name":"Carolina Population Center, University of North Carolina  North Carolina USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,8,6]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.clnu.2020.12.038"},{"key":"e_1_2_11_3_1","doi-asserted-by":"publisher","DOI":"10.1093\/intqhc\/mzr022"},{"key":"e_1_2_11_4_1","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph17207618"},{"key":"e_1_2_11_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cgh.2018.09.017"},{"key":"e_1_2_11_6_1","volume-title":"APA's 2021 Work and Well\u2010being Survey","author":"APA","year":"2021"},{"key":"e_1_2_11_7_1","doi-asserted-by":"publisher","DOI":"10.1111\/jdi.12852"},{"key":"e_1_2_11_8_1","doi-asserted-by":"publisher","DOI":"10.1345\/aph.1D203"},{"key":"e_1_2_11_9_1","unstructured":"Barbier J.\u2010C.2011.\u201cEmployment Precariousness in a European Cross\u2010National Perspective. 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