Evidence map›Paper›PMID 39632366›Full record

ArticleJMIR public health and surveillance2024

Meal Timing and Depression Among Chinese Children and Adolescents: Cross-Sectional Study.

Huilun Li, Zhaohui Lu, Erliang Zhang, Jie Zhang, Shuheng Cui, Masaki Takahashi, Mi Xiang

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Article in JMIR public health and surveillance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Huilun Li *Hainan Branch, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Sanya, China.ORCID 0000-0002-5036-1467
Zhaohui Lu *Hainan Branch, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Sanya, China.ORCID 0000-0001-9644-341X
Erliang Zhang *School of Public Health, Shanghai Jiao Tong University, Shanghai, China.ORCID 0009-0007-7039-6724
Jie ZhangSchool of Public Health, Shanghai Jiao Tong University, Shanghai, China.ORCID 0009-0001-7987-8363
Shuheng CuiSchool of Public Health, Shanghai Jiao Tong University, Shanghai, China.ORCID 0000-0003-3015-7714
Masaki TakahashiInstitute for Liberal Arts, Tokyo Institute of Technology, Tokyo, Japan.ORCID 0000-0002-4038-8164
Mi XiangHainan Branch, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Sanya, China.ORCID 0009-0009-9946-9768

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: 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. Objective: This research examined the relationship between meal timing and depression in children and adolescents in China. Methods: Children and adolescents from grades 1 to 9 were recruited from 16 districts in Shanghai, China, from January 3 to January 21, 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's 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-the 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. Results: 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 2.24-3.26; P<.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 1.08-1.50; P<.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 1.08-1.73; P=.009) and 1.23 times higher if the eating time window was longer than 12 hours (OR 1.23, 95% CI 1.01-1.50; P=.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 1.94-3.96; P<.001). Conclusions: 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.

Indexed as

DepressionMealsAdolescentChildChinaCross-Sectional StudiesEast Asian PeopleFeeding BehaviorFemaleHumansMaleSurveys and QuestionnairesTime Factorsadolescentanalysisbreakfast skippingchildrenChinachrononutritioncorrelationcross-sectional studydaily eatingdepressionfood intakelogistic regressionmeal timemeal timingmental healthmetabolic disordermhealthschedule of mealsurvey

Identifiers

PMID39632366
PMCPMC11615707

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.