MétaCan
Menu
Back to cohort
Record W4415352205 · doi:10.2196/75061

Ultraprocessed Foods Associated With Depressive Symptoms Among Chinese Adolescents: Cross-Sectional Study

2025· article· en· W4415352205 on OpenAlexvenueno aff
Honglv Xu, Jie-Ru Yang, Fangzhe Zhou

Bibliographic record

VenueJMIR Public Health and Surveillance · 2025
Typearticle
Languageen
FieldMedicine
TopicConsumer Attitudes and Food Labeling
Canadian institutionsnot available
Fundersnot available
KeywordsDepressive symptomsPsychological interventionConsumption (sociology)Depression (economics)Public healthIntervention (counseling)

Abstract

fetched live from OpenAlex

BACKGROUND: Ultraprocessed food (UPF) consumption is very common among adolescents. Previous studies have suggested an association between UPF consumption and adolescent mental health problems, but studies on multiethnic adolescents in China are rare. OBJECTIVE: This study investigated the association between UPF consumption and depressive symptoms in multiethnic adolescents in Yunnan Province, China. METHODS: A cluster sampling of 8500 middle school students from 11 counties in Yunnan Province was conducted. The Chinese version of the Depression Anxiety Stress Scale-21 was administered to assess depressive symptoms, and a food frequency questionnaire was used to collect UPF consumption data. A generalized linear model was used to analyze the association between UPF consumption and depressive symptoms, and a restricted cubic spline was used to fit the correlation plot. The association analysis was performed after adjusting for demographic and confounding variables that might have influenced depressive symptoms. RESULTS: The detection rates of depressive symptoms in adolescents were 28.3% (2402/8500) for the sample, 25.5% (1069/4184) for males, and 30.9% (1333/4316) for females. After adjusting for confounding variables, instant food (all participants: β=.22, 95% CI 0.13-0.32; P<.001; males: β=.15, 95% CI 0.03-0.27; P=.01; females: β=.29, 95% CI 0.15-0.43; P<.001), carbonated beverage (β=.20, 95% CI 0.12-0.29; P<.001; β=.15, 95% CI 0.04-0.26; P=.006; β=.29, 95% CI 0.16-0.43; P<.001;), energy beverage (β=.21, 95% CI 0.10-0.32; P<.001; β=.22, 95% CI 0.08-0.36; P=.002; β=.22, 95% CI 0.04-0.40; P=.01), and other beverage (β=.24, 95% CI 0.14-0.34; P<.001; β=.21, 95% CI 0.08-0.35; P=.002; β=.25, 95% CI 0.10-0.41; P=.001) consumption were associated with depressive symptoms for all participants, males, and females, respectively. Females were more sensitive to the association between UPF consumption and depressive symptoms. Moreover, female interaction with instant foods (β=.31, 95% CI 0.18-0.44; P<.001), carbonated beverages (β=.27, 95% CI 0.15-0.39; P<.001), energy beverages (β=.18, 95% CI 0.01-0.35; P=.04), and other sugar-sweetened beverages (β=.17, 95% CI 0.02-0.32; P=.03) was associated with depressive symptoms, respectively. CONCLUSIONS: These results indicated that UPF consumption was related to depressive symptoms in Yunnan multiethnic adolescents. Health education and behavioral interventions that reduce UPF consumption could protect adolescents from depressive symptoms.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.335
Teacher spread0.317 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJMIR Public Health and SurveillanceSame topicConsumer Attitudes and Food LabelingFrench-language works237,207