Evidence mapPaperPMID 40545383Full record

ArticleSleep health2025

Data-driven approach to understand associations between dietary patterns, sleep problems, and mental health in adolescents.

Yihong Zhao, Xuewei Han, Sarah W Feldstein Ewing, Marie-Pierre St-Onge, Martin P Paulus

Abstract read
In one paragraph

Article in Sleep health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yihong ZhaoColumbia University School of Nursing, New York, New York, USA. Electronic address: yz2135@caa.columbia.edu.
Xuewei HanColumbia University School of Nursing, New York, New York, USA.
Sarah W Feldstein EwingDepartment of Psychiatry, University of Connecticut (UCONN) School of Medicine, Farmington, Connecticut, USA; Laureate Institute for Brain Research, Tulsa, Oklahoma, USA.
Marie-Pierre St-OngeDepartment of Medicine, Columbia University Irving Medical Center, New York, New York, USA.
Martin P PaulusLaureate Institute for Brain Research, Tulsa, Oklahoma, USA; University of California San Diego, Department of Psychiatry, San Diego, California, USA.

Funding

8/21 ABCD-USA CONSORTIUM: RESEARCH PROJECT SITE AT CHLAU01DA041048 · CHILDREN'S HOSPITAL OF LOS ANGELES · 2025 to 2025
$9.9M
ABCD-USA Consortium: Coordinating CenterU24DA041147 · UNIVERSITY OF CALIFORNIA, SAN DIEGO · 2025 to 2025
$7.1M
ABCD-USA Consortium: Data Analysis, Informatics and Resource CenterU24DA041123 · J. CRAIG VENTER INSTITUTE, INC. · 2025 to 2025
$4.7M
1/21 ABCD-USA CONSORTIUM: RESEARCH PROJECT SITE AT U UTAHU01DA041134 · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · 2025 to 2025
$2.7M
The Center for Neuroscience-based Mental Health Assessment and Prediction (NeuroMAP)P20GM121312 · LAUREATE INSTITUTE FOR BRAIN RESEARCH · 2025 to 2025
$2.4M
5/21 ABCD-USA Consortium: Research Project Site at UC San DiegoU01DA041089 · UNIVERSITY OF CALIFORNIA, SAN DIEGO · 2025 to 2025
$2.2M
9/21 ABCD-USA CONSORTIUM: RESEARCH PROJECT SITE AT U MICHIGANU01DA041106 · UNIVERSITY OF MICHIGAN AT ANN ARBOR · 2025 to 2025
$2.0M
4/21 ABCD-USA CONSORTIUM: RESEARCH PROJECT SITE AT FIUU01DA041156 · FLORIDA INTERNATIONAL UNIVERSITY · 2025 to 2025
$2.0M
15/21 ABCD-USA Consortium: Research Project Site at LIBRU01DA050989 · LAUREATE INSTITUTE FOR BRAIN RESEARCH · 2025 to 2025
$2.0M
21/21 ABCD-USA CONSORTIUM: RESEARCH PROJECT SITE AT WUSTLU01DA051038 · WASHINGTON UNIVERSITY · 2025 to 2025
$1.9M
2/21 ABCD-USA CONSORTIUM: RESEARCH PROJECT SITE AT UMBU01DA041117 · UNIVERSITY OF MARYLAND BALTIMORE · 2025 to 2025
$1.9M
7/21 ABCD-USA CONSORTIUM: RESEARCH PROJECT SITE AT YALEU01DA041174 · YALE UNIVERSITY · 2025 to 2025
$1.7M
NIAAA NIH HHS R01 AA029611NIDA NIH HHS U01 DA041022NIDA NIH HHS U01 DA041025NIDA NIH HHS U01 DA041028NIDA NIH HHS U01 DA041048NIDA NIH HHS U01 DA041089NIDA NIH HHS U01 DA041093NIDA NIH HHS U01 DA041106NIDA NIH HHS U01 DA041117NIDA NIH HHS U01 DA041120NIDA NIH HHS U01 DA041134NIDA NIH HHS U01 DA041148NIDA NIH HHS U01 DA041156NIDA NIH HHS U01 DA041174NIDA NIH HHS U01 DA050987NIDA NIH HHS U01 DA050988NIDA NIH HHS U01 DA050989NIDA NIH HHS U01 DA051016NIDA NIH HHS U01 DA051018NIDA NIH HHS U01 DA051037NIDA NIH HHS U01 DA051038NIDA NIH HHS U01 DA051039NIDA NIH HHS U24 DA041123NIDA NIH HHS U24 DA041147NIGMS NIH HHS P20 GM121312NIMH NIH HHS RF1 MH128614
6 · The paper itself

Abstract

objectivesEmerging evidence suggests a role of diet in sleep disturbances and mental health including internalizing (e.g., anxiety, depression) and externalizing (e.g., aggression, impulsivity) problems.

methodsThis study employed a data-driven approach to construct a Sleep-Mental Health-Eating Index and assessed its mediating roles in the relationships between difficulties initiating and maintaining sleep and mental health problems in 11,000 youth aged 9-10years. Difficulties initiating and maintaining sleep and mental health problems were assessed annually from baseline to Year2, and diet at Year1. The Shapley Additive Explanations analysis was used to derive the eating index.

resultsSix dietary categories emerged as important predictors of our outcomes, with whole grains, green vegetables, and berries linked to lower difficulties initiating and maintaining sleep scores, while sweet pastries, fast food, and butter cream linked to higher difficulties initiating and maintaining sleep. Dietary factors explained 2.24% of difficulties initiating and maintaining sleep variation, surpassing demographics (1.21%). For internalizing behaviors, dietary and demographic contributions were similar (1.86% vs. 1.98%). Demographics were the strongest predictors of externalizing symptoms (3.84%). Higher baseline difficulties initiating and maintaining sleep (beta = -0.026, 95% CI: -0.038, -0.015) and internalizing scores (beta = -0.027, 95% CI: -0.035, -0.019) were associated with worse eating index at Year1. Additionally, the eating index mediated relationships between baseline difficulties initiating and maintaining sleep/internalizing problems and Year2 outcomes. Overall, indirect effects range from 3.2% to 7.0%.

conclusionsThese findings highlight diet's role in predicting and mediating sleep and mental health outcomes. Healthy foods were associated with fewer sleep difficulties and internalizing problems, while unhealthy foods worsen sleep and behavior problems. Targeting diet may improve interventions addressing adolescent sleep and mental health challenges.

Indexed as

DietFeeding BehaviorMental DisordersMental HealthSleep Wake DisordersAdolescentChildFemaleHumansMaleAdolescent healthDisorders of initiating and maintaining sleepHealthy dietMachine learningMental health associationsNutrition indexes

Identifiers

PMID40545383
PMCPMC12353648

What Socratic holds

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Registered trials

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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 Socratic graph.