Evidence map›Paper›PMID 42026518›Full record

ArticleBMC pediatrics2026

Dietary behaviors, lifestyle habits, food insecurity risk and depressive symptoms among New York City adolescents: a cross-sectional study.

Jaynisha Jackson, Teresa Conigliaro, Jordan Fenlon, Elizabeth Solomon, Erin A Dowling, Nicole Dreisbach, Meghan Hamwey

Erratum issuedAbstract read
In one paragraph

Article in BMC pediatrics, 2026. 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Jaynisha JacksonBureau of Children, Youth, Families, and Developmental Disabilities, New York City Department of Health and Mental Hygiene, Long Island City, NY, 11101, USA. jjackson11@health.nyc.gov.ORCID http://orcid.org/0009-0001-1121-9927
Teresa ConigliaroBureau of Chronic Disease Prevention, New York City Department of Health and Mental Hygiene, Long Island City, NY, 11101, USA.
Jordan FenlonBureau of Children, Youth, Families, and Developmental Disabilities, New York City Department of Health and Mental Hygiene, Long Island City, NY, 11101, USA.ORCID http://orcid.org/0000-0003-1127-2637
Elizabeth SolomonBureau of Chronic Disease Prevention, New York City Department of Health and Mental Hygiene, Long Island City, NY, 11101, USA.
Erin A DowlingBureau of Chronic Disease Prevention, New York City Department of Health and Mental Hygiene, Long Island City, NY, 11101, USA.ORCID http://orcid.org/0009-0002-4809-9567
Nicole DreisbachBureau of Chronic Disease Prevention, New York City Department of Health and Mental Hygiene, Long Island City, NY, 11101, USA.
Meghan HamweyBureau of Children, Youth, Families, and Developmental Disabilities, New York City Department of Health and Mental Hygiene, Long Island City, NY, 11101, USA.ORCID http://orcid.org/0000-0002-8687-0749

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdolescence is a developmental period marked by changes that increase susceptibility to mental health problems. Rising rates of depression among United States adolescents underscore the need to identify contributing factors. Dietary behaviors, lifestyle habits, and food insecurity have been linked to poor mental health outcomes, with structural and systemic inequities shaping access to healthy behaviors. Therefore, we examined the association between self-reported depressive symptoms with dietary behaviors, lifestyle habits, and food insecurity risk among New York City (NYC) public high school students, and variations within and across racial and ethnic groups.

methodsData from the 2023 NYC Youth Risk Behavior Survey was utilized. Bivariate analyses assessed differences in self-reported depressive symptoms, dietary behaviors, lifestyle habits, and food insecurity risk across racial and ethnic groups and examined how these factors were associated with self-reported depressive symptoms. Logistic regression models controlling for sex, sexual identity, gender identity, age group, and borough of residence assessed these associations in the overall sample and within racial and ethnic groups.

resultsHigher prevalences of not eating fruit or vegetables, sugary drink consumption, not eating breakfast, not participating in physical activity, and being at risk for food insecurity were seen among Black and Latino/a students. However, associations between self-reported depressive symptoms with dietary behaviors, lifestyle habits, and food insecurity risk varied within racial and ethnic groups. Despite Black students having the highest prevalence for food insecurity risk and sugary drink consumption, neither was associated with self-reported depressive symptoms. Food insecurity risk was associated with increased odds of self-reported depressive symptoms among White (AOR 2.42; 95% CI 1.21–4.85), Latino/a (AOR 2.09; 95% CI 1.50–2.90), Asian (AOR 1.83; 95% CI 1.04–3.23) and students of another race (AOR 3.04; 95% CI 1.11–8.34). The absence of associations among Black students warrants further research into potential underlying factors.

conclusionDietary behaviors, lifestyle habits, and food insecurity risk are differentially associated with self-reported depressive symptoms within racial and ethnic groups. High prevalences of insufficient sleep and food insecurity risk highlight those as key targets for intervention. Addressing these factors, alongside upstream social determinants is necessary for promoting mental health equity among NYC public high school students.

Indexed as

DepressionDietFeeding BehaviorFood InsecurityLife StyleAdolescentCross-Sectional StudiesFemaleHumansMaleNew York CityRisk FactorsDietary behaviorsFood insecurity riskLifestyle habitsNew York CitySelf-reported depressive symptomsStudents

Identifiers

PMID42026518
PMCPMC13244642

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.