{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T15:58:04Z","timestamp":1783180684758,"version":"3.54.6"},"reference-count":44,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T00:00:00Z","timestamp":1763078400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Nutr."],"abstract":"<jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>Maternal nutrition in pregnancy influences birth outcomes and offspring health; chrononutrition behaviors could be potentially linked to perinatal complications such as preterm birth (PTB).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Aim<\/jats:title>\n                    <jats:p>To evaluate if gestational chrononutrition behaviors influence PTB risk.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Healthy pregnant women (\n                      <jats:italic>n<\/jats:italic>\n                      \u202f=\u202f215) from the ongoing OBESO cohort (Mexico City) were studied. Diet (24\u202fh-recall) and sleep-schedule were evaluated in each trimester, obtaining average fasting duration (hours, last\u2013first meal), minutes from waking-up to breakfast (AM-latency), and from dinner to sleeping (PM-latency). Nighttime eating (9:00 pm\u20135:59 am on three recalls) was registered. Short sleep was defined as &amp;lt;6\u202fh\/night. The presence of gestational complications (PE, preeclampsia; GDM, gestational diabetes; GH, gestational hypertension), gestational weight gain (GWG), multivitamin (MV) consumption (low: 0\u20131 trimesters, moderate: 2 trimesters, high: 3 trimesters) was recorded. Gestational age at resolution was computed and PTB was classified (&amp;lt;37\u202fweeks, first-trimester ultrasound). Logistic regression models were performed to evaluate the association between each chrononutrition behavior and the presence of PTB.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Mean fasting was 11.8\u202f\u00b1\u202f1.2\u202fh; AM, PM latency were 104.4\u202f\u00b1\u202f76.7, 112.3\u202f\u00b1\u202f54.5\u202fmin, respectively. Nighttime eating was present in 33% (\n                      <jats:italic>n<\/jats:italic>\n                      \u202f=\u202f71) of women. Gestational complications prevalence was 16.3% (\n                      <jats:italic>n<\/jats:italic>\n                      \u202f=\u202f35). Half of women had a high MV-consumption (55.8%,\n                      <jats:italic>n<\/jats:italic>\n                      \u202f=\u202f120). PTB was present in 8.8% (\n                      <jats:italic>n<\/jats:italic>\n                      \u202f=\u202f19) of pregnancies. A higher frequency of PTB was observed with nighttime eating (15.5% vs. 5.6%;\n                      <jats:italic>p<\/jats:italic>\n                      \u202f=\u202f0.16), with low MV-consumption (low: 25%, moderate: 5.6%, high: 7.5%;\n                      <jats:italic>p<\/jats:italic>\n                      \u202f=\u202f0.011) and with short sleep (63.2% vs. 29.1%;\n                      <jats:italic>p<\/jats:italic>\n                      \u202f=\u202f0.002). Regression models showed that nighttime eating (OR:5.716, 95%CI:1.724\u201318.951), low MV-consumption (OR:7.937, 95%CI:1.873\u201333.639), short sleep (OR:4.551, 95%CI:1.392\u201314.879) and PE (OR:9.016, 95%CI:1.772\u201345.881) were positively associated with PTB risk. Other maternal variables in the model (\n                      <jats:italic>R<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      \u202f=\u202f0.318,\n                      <jats:italic>p<\/jats:italic>\n                      \u202f=\u202f0.010) were not associated (age, obesity, parity, GDM, GWG, energy intake).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Maternal nighttime eating during pregnancy is associated with a higher risk of PTB.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fnut.2025.1699405","type":"journal-article","created":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T14:53:18Z","timestamp":1763131998000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Chrononutrition behaviors during pregnancy: maternal nighttime eating increases the risk of preterm birth"],"prefix":"10.3389","volume":"12","author":[{"given":"Ameyalli M.","family":"Rodr\u00edguez-Cano","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Berenice","family":"Medel-Canchola","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Isabel","family":"Gonz\u00e1lez-Ludlow","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maria Luisa","family":"Pizano-Zarate","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guadalupe","family":"Estrada-Gutierrez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Otilia","family":"Perichart-Perera","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2025,11,14]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1016\/j.jri.2016.11.008","article-title":"Preterm birth: inflammation, fetal injury and treatment strategies","volume":"119","author":"Boyle","year":"2017","journal-title":"J Reprod Immunol"},{"key":"ref2","doi-asserted-by":"publisher","first-page":"611929","DOI":"10.3389\/fendo.2020.611929","article-title":"Nutrition and metabolic adaptations in physiological and complicated pregnancy: focus on obesity and gestational 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