{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T04:33:40Z","timestamp":1791434020916,"version":"4.3.3"},"reference-count":59,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T00:00:00Z","timestamp":1778716800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T00:00:00Z","timestamp":1778716800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J Human Nutrition Diet"],"published-print":{"date-parts":[[2026,6]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    Shift work affects 15\u201320% of the global workforce and significantly increases risk for obesity, type 2 diabetes, and cardiovascular disease. While dietary disruption is a recognised mechanism, whether research adequately captures meal timing as a critical metabolic determinant remains limited. This scoping review systematically mapped dietary and chrononutrition assessment in shift workers following PRISMA\u2010ScR guidelines, searching five databases through July 2025. Quality assessment was conducted using the Joanna Briggs Institute checklists. Twenty\u2010four studies representing 27,537 participants from 13 countries were included. Shift workers demonstrated consistent dietary disruption with heterogeneous energy patterns: 55% reported excess intake (103\u2013303\u2009kcal\/day), 14% showed substantial deficits (1521\u20131698\u2009kcal\/day), and 14% found no differences despite temporal redistribution. Despite energy variability, macronutrient patterns were consistent: increased saturated fat and simple carbohydrates (63%), reduced fibre (24% decrease), and lower fruits, vegetables, and micronutrients (vitamin D, calcium, iodine, iron, carotene). Diet quality indices deteriorated in 88% of studies. Critically, 54% of studies examining shift worker diet failed to assess chrononutrition variables. Among the 46% measuring meal timing, results were remarkably consistent: eating windows extended 2.3\u20132.6\u2009h, caloric midpoint delayed ~2\u2009h, and last meals occurred 2\u20133\u2009h later during night shifts, with later timing and longer eating windows consistently associated with greater daily energy intake (\n                    <jats:italic>\u03b2<\/jats:italic>\n                    \u2009=\u20090.32(N)\u20100.47(D);\n                    <jats:italic>p<\/jats:italic>\n                    \u2009&lt;\u20090.001). This evidence mapping reveals that shift work is associated with disruption of both dietary composition and meal timing, yet chrononutrition remains critically neglected. Future research should prioritise validated, time\u2010stamped dietary assessments and test timing\u2010based interventions addressing this modifiable risk factor.\n                  <\/jats:p>","DOI":"10.1111\/jhn.70272","type":"journal-article","created":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T04:22:59Z","timestamp":1778818979000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Navigating Nutrition in a 24\/7 World: A Scoping Review of Dietary Intake and Chrononutrition Assessment in Shift Working Populations"],"prefix":"10.1111","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-9015-0717","authenticated-orcid":false,"given":"Rachaita","family":"Chatterjee","sequence":"first","affiliation":[{"name":"Ergonomics and Occupational Physiology Laboratory, Department of Physiology University of Kalyani Kalyani, Nadia West Bengal India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1584-4551","authenticated-orcid":false,"given":"Subhashis","family":"Sahu","sequence":"additional","affiliation":[{"name":"Ergonomics and Occupational Physiology Laboratory, Department of Physiology University of Kalyani Kalyani, Nadia West Bengal India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,5,14]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(01)06108-6"},{"key":"e_1_2_11_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.chest.2016.12.007"},{"key":"e_1_2_11_4_1","volume-title":"IARC Monographs on the Evaluation of Carcinogenic Risks to Humans","author":"IARC Working Group on the Evaluation of Carcinogenic Risks to Humans","year":"2010"},{"key":"e_1_2_11_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/S1470-2045(07)70373-X"},{"key":"e_1_2_11_6_1","doi-asserted-by":"publisher","DOI":"10.1093\/occmed\/kqr001"},{"key":"e_1_2_11_7_1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2016.4454"},{"key":"e_1_2_11_8_1","doi-asserted-by":"publisher","DOI":"10.5271\/sjweh.2898"},{"key":"e_1_2_11_9_1","doi-asserted-by":"publisher","DOI":"10.5271\/sjweh.3593"},{"key":"e_1_2_11_10_1","doi-asserted-by":"publisher","DOI":"10.1038\/ijo.2012.229"},{"key":"e_1_2_11_11_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.1195027"},{"key":"e_1_2_11_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2015.03.015"},{"key":"e_1_2_11_13_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0808180106"},{"key":"e_1_2_11_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tem.2016.03.005"},{"key":"e_1_2_11_15_1","doi-asserted-by":"publisher","DOI":"10.1017\/S0007114516002117"},{"key":"e_1_2_11_16_1","doi-asserted-by":"publisher","DOI":"10.5665\/sleep.2246"},{"key":"e_1_2_11_17_1","doi-asserted-by":"publisher","DOI":"10.1080\/1364557032000119616"},{"key":"e_1_2_11_18_1","doi-asserted-by":"publisher","DOI":"10.46658\/JBIMES-20-12"},{"key":"e_1_2_11_19_1","doi-asserted-by":"publisher","DOI":"10.7326\/M18-0850"},{"key":"e_1_2_11_20_1","unstructured":"Clarivate. 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