{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,20]],"date-time":"2026-10-20T16:42:12Z","timestamp":1792514532685,"version":"4.5.0"},"reference-count":56,"publisher":"JMIR Publications Inc.","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JMIR Public Health Surveill"],"abstract":"Abstract<\/jats:title>\n \n Background<\/jats:title>\n Depression in children and adolescents is a rising concern in China. Dietary behavior is a critical determinant of mental health. Meal timing, or the schedule of meal consumption, has been related to several metabolic disorders. However, the effect of meal timing on mental health is scarce, particularly in children and adolescents who are in a critical period of physical and psychological development.<\/jats:p>\n <\/jats:sec>\n \n Objective<\/jats:title>\n This research examined the relationship between meal timing and depression in children and adolescents in China.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n \n Children and adolescents from grades 1 to 9 were recruited from 16 districts in Shanghai, China, from January 3 to January 21\n \n , 2020. Ten schools attended the study. A survey was distributed to the students and their parents to collect demographic and health-related information. Depression was measured by the Children\u2019s Depression Inventory-Short Form. Breakfast consumption was analyzed as a binary outcome. Participants were defined as breakfast consumers if they never skipped breakfast during the week. They were otherwise defined as breakfast skippers if they skipped breakfast at least once per week. A similar categorization was applied to analyze food intake proximal to bed. Daily eating windows were calculated using the last food intake time frame\u2014the first food intake time frame. Participants were classified into eating window groups of less than 10 hours, 10-12 hours, and more than 12 hours. A logistic regression model was used to compute the odds ratio (OR) and 95% CI.\n <\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n A total of 6874 participants were included in the analysis. Participants who skipped breakfast were associated with a 2.70 times higher occurrence of depression (OR 2.70, 95% CI 2.24\u20103.26;\n P<\/jats:italic>\n <.001). The prevalence of depression was 1.28 times higher in participants who ate before bed than in those who never ate before bed (OR 1.28, 95% CI 1.08\u20101.50;\n P<\/jats:italic>\n <.001). The occurrence of depression was 1.37 times higher if the eating time window was shorter than 10 hours (OR 1.37, 95% CI 1.08\u20101.73;\n P<\/jats:italic>\n =.009) and 1.23 times higher if the eating time window was longer than 12 hours (OR 1.23, 95% CI 1.01\u20101.50;\n P<\/jats:italic>\n =.004). The lowest occurrence of depression was observed at 11.5 hours. Subgroup analysis showed that such relationships remained significant in adolescents aged 10 years or older. In children, only skipping breakfast was associated with a higher odds of depression (OR 2.77, 95% CI 1.94\u20103.96;\n P<\/jats:italic>\n <.001).\n <\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n Breakfast skipping and eating before bed significantly increase the occurrence of depression. The optimal daily eating window to lower the occurrence of depression is 11.5 hours in children and adolescents. Daily eating windows longer than 12 hours or shorter than 10 hours are associated with an elevated occurrence of depression. Current findings advocate evidence-based dietary strategies to prevent and treat depression in children and adolescents.<\/jats:p>\n <\/jats:sec>","DOI":"10.2196\/54275","type":"journal-article","created":{"date-parts":[[2024,7,8]],"date-time":"2024-07-08T12:06:58Z","timestamp":1720440418000},"page":"e54275-e54275","source":"Crossref","is-referenced-by-count":11,"title":["Meal Timing and Depression Among Chinese Children and Adolescents: Cross-Sectional Study"],"prefix":"10.2196","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5036-1467","authenticated-orcid":false,"given":"Huilun","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9644-341X","authenticated-orcid":false,"given":"Zhaohui","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-7039-6724","authenticated-orcid":false,"given":"Erliang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-7987-8363","authenticated-orcid":false,"given":"Jie","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3015-7714","authenticated-orcid":false,"given":"Shuheng","family":"Cui","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4038-8164","authenticated-orcid":false,"given":"Masaki","family":"Takahashi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-9946-9768","authenticated-orcid":false,"given":"Mi","family":"Xiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1010","published-online":{"date-parts":[[2024,10,23]]},"reference":[{"issue":"2","key":"R1","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1016\/S2215-0366(21)00395-3","article-title":"Global, regional, and national burden of 12 mental disorders in 204 countries and territories, 1990-2019: a systematic analysis for the global burden of disease study 2019","volume":"9","author":"GBD 2019 Mental Disorders Collaborators","journal-title":"Lancet Psychiatry"},{"issue":"12","key":"R2","doi-asserted-by":"publisher","first-page":"1978","DOI":"10.1017\/S0033291721002816","article-title":"Psychiatric disorders in china: strengths and challenges of contemporary research and clinical services","volume":"51","author":"Chang","journal-title":"Psychol Med"},{"key":"R3","doi-asserted-by":"publisher","DOI":"10.4088\/PCC.10m01013","article-title":"Rates of detection of mood and anxiety disorders in primary care","volume":"13","author":"Vermani","journal-title":"Prim Care Companion CNS Disord"},{"key":"R4","doi-asserted-by":"publisher","DOI":"10.3389\/fped.2021.661796","article-title":"The prevalence of mental problems for Chinese children and adolescents during COVID-19 in china: a systematic review and meta-analysis","volume":"9","author":"Chai","journal-title":"Front Pediatr"},{"key":"R5","unstructured":"Balasundaram P Avulakunta ID . 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