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Record W3112463981 · doi:10.1186/s12937-020-00648-3

Does social support moderate the association between hunger and mental health in youth? A gender-specific investigation from the Canadian Health Behaviour in School-aged Children study

2020· article· en· W3112463981 on OpenAlexafffundabout
Nour Hammami, Scott T. Leatherdale, Frank J. Elgar

Bibliographic record

VenueNutrition Journal · 2020
Typearticle
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsUniversity of WaterlooMcGill University
FundersCanadian Institutes of Health ResearchSocial Sciences and Humanities Research CouncilQueen's UniversityUniversitetet i BergenUniversity of Glasgow
KeywordsMental healthSocial supportAssociation (psychology)Psychological interventionMedicineMultilevel modelPsychologyGerontologyPsychiatrySocial psychology

Abstract

fetched live from OpenAlex

BACKGROUND: Youth who go hungry have poorer mental health than their counterparts - there are gender differences in this relationship. This study investigated the role of social support in the association between hunger and mental health among a nationally representative sample of youth in Canada in gender-specific analyses. METHODS: We used a probability-based sample of 21,750 youth in grades 6-10 who participated in the 2017-2018 Canadian Health Behaviour in School-aged Children. Self-report data were gathered on hunger, mental health (measured via the World Health Organization-5 well-being index) and five sources of support - peer, family and teacher support as well as the school climate and neighborhood support. We conducted adjusted, gender-specific, multilevel regression analyses assessing the association between mental health, social support and hunger. RESULTS: We found that youth who reported lower support were more likely to experience going to bed hungry (relative to never hungry) across all support factors. As for the social support factors, all the social support factors were associated with a higher mental health score, even after controlling for hunger. Despite these results our final set of models showed that our measures of social support did not alleviate the negative association between hunger and mental health. As for gender-specific findings, the negative association between hunger and a mental health was more pronounced among females relative to their male counterparts. We also found that certain social support factors (i.e., family, teacher and neighborhood support) were associated with a higher mental health score among females relative to males while controlling for hunger status. CONCLUSIONS: We find that five social support factors are associated with a higher mental health score among ever hungry youth; however, social support did not overpower the negative association between hunger and mental health. Food insecurity is a challenge to address holistically; however, hungry youth who have high social support have higher odds of better mental health.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.025
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.003
Science and technology studies0.0040.001
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.185
GPT teacher head0.396
Teacher spread0.211 · 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

Citations9
Published2020
Admission routes3
Has abstractyes

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