{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T11:16:27Z","timestamp":1787915787630,"version":"build-2784847793"},"reference-count":41,"publisher":"Wiley","license":[{"start":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T00:00:00Z","timestamp":1787875200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T00:00:00Z","timestamp":1787875200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100003401","name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de Alagoas","doi-asserted-by":"publisher","award":["60030.0000002539\/2022"],"award-info":[{"award-number":["60030.0000002539\/2022"]}],"id":[{"id":"10.13039\/501100003401","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003593","name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","doi-asserted-by":"publisher","award":["402368\/2024\u20100"],"award-info":[{"award-number":["402368\/2024\u20100"]}],"id":[{"id":"10.13039\/501100003593","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Nutrition Bulletin"],"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    This study investigated the association between plant\u2010based dietary indices (PDI) and sleep quality and examined the mediating roles of lifestyle and health\u2010related factors. A total of 5260 participants (18\u201365\u2009years) were included. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). PDI\u2014including overall (oPDI), healthy (hPDI), unhealthy (uPDI), and pro\u2010vegetarian diet index (PVDI)\u2014was derived from a food frequency questionnaire covering 15 food groups. Associations between each PDI and sleep quality were analysed using linear and logistic regression models, and mediation analyses were performed to assess the effects of potential mediators. Poor sleep quality was reported by 51.12% of participants. Each one\u2010unit increase in oPDI and uPDI was linked to higher PSQI scores (\n                    <jats:italic>\u03b2<\/jats:italic>\n                    : 0.03; 95% CI: 0.01\u20130.04 and\n                    <jats:italic>\u03b2<\/jats:italic>\n                    : 0.08; 95% CI: 0.01\u20130.03, respectively) and increased odds of poor sleep. In contrast, higher hPDI and PVDI scores were associated with lower PSQI scores and a 12% reduction in odds of poor sleep quality. Mediation analyses showed that higher oPDI and uPDI worsened sleep, partly through greater depression (32.58%) and less physical exercise (19%), respectively. Conversely, higher hPDI and PVDI improved sleep, primarily through a lower body mass index (11.9% and 22%, respectively). Our findings reveal a nuanced relationship between plant\u2010based dietary patterns and sleep quality, influenced by lifestyle factors. They highlight the importance of distinguishing between healthy and unhealthy plant\u2010based foods and considering the intake of animal\u2010derived foods when developing dietary recommendations to improve sleep health.\n                  <\/jats:p>","DOI":"10.1111\/nbu.70069","type":"journal-article","created":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T10:22:36Z","timestamp":1787912556000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Plant\u2010Based Diet and Sleep Quality in Adults: Exploring the Role of Lifestyle and Health Mediators"],"prefix":"10.1111","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8945-6888","authenticated-orcid":false,"given":"M\u00e1rcia","family":"de Oliveira Lima","sequence":"first","affiliation":[{"name":"Research Group \u2018Chronobiology, Nutrition and Health\u2019, Faculty of Nutrition Federal University of Alagoas  Macei\u00f3 Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4671-2858","authenticated-orcid":false,"given":"J\u00falia Souza","family":"de Melo","sequence":"additional","affiliation":[{"name":"Research Group \u2018Chronobiology, Nutrition and Health\u2019, Faculty of Nutrition Federal University of Alagoas  Macei\u00f3 Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5397-981X","authenticated-orcid":false,"given":"Larissa de Lima","family":"Soares","sequence":"additional","affiliation":[{"name":"Research Group \u2018Chronobiology, Nutrition and Health\u2019, Faculty of Nutrition Federal University of Alagoas  Macei\u00f3 Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1568-2836","authenticated-orcid":false,"given":"Risia Cristina Egito","family":"de Menezes","sequence":"additional","affiliation":[{"name":"Research Group \u2018Chronobiology, Nutrition and Health\u2019, Faculty of Nutrition Federal University of Alagoas  Macei\u00f3 Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7757-0034","authenticated-orcid":false,"given":"Renan","family":"Serenini","sequence":"additional","affiliation":[{"name":"Research Group \u2018Chronobiology, Nutrition and Health\u2019, Faculty of Nutrition Federal University of Alagoas  Macei\u00f3 Brazil"},{"name":"Brazilian Institute of Geography and Statistics  Rio de Janeiro Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0776-0638","authenticated-orcid":false,"given":"Giovana","family":"Longo\u2010Silva","sequence":"additional","affiliation":[{"name":"Research Group \u2018Chronobiology, Nutrition and Health\u2019, Faculty of Nutrition Federal University of Alagoas  Macei\u00f3 Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,8,28]]},"reference":[{"key":"e_1_2_12_2_1","doi-asserted-by":"publisher","DOI":"10.3390\/foods10020293"},{"key":"e_1_2_12_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.smrv.2025.102071"},{"key":"e_1_2_12_4_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1530\u20100277.2010.01417.x"},{"key":"e_1_2_12_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.sleep.2010.04.020"},{"key":"e_1_2_12_6_1","volume-title":"Vigitel Brasil 2021: Vigil\u00e2ncia de Fatores de Risco e Prote\u00e7\u00e3o Para Doen\u00e7as Cr\u00f4nicas Por Inqu\u00e9rito Telef\u00f4nico: Estimativas Sobre Frequ\u00eancia e Distribui\u00e7\u00e3o Sociodemogr\u00e1fica de Fatores de Risco e Prote\u00e7\u00e3o Para Doen\u00e7as Cr\u00f4nicas Nas Capitais Dos 26 Estados Brasileiros e no Distrito Federal em 2021","author":"Brasil. 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