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Enregistrement W4417293359 · doi:10.64898/2025.12.10.25341979

Childhood food insecurity and youth mental health trajectories in two UK longitudinal cohorts

2025· article· W4417293359 sur OpenAlexaboutno aff
Eileen Y. Xu, Amelia Edmondson-Stait, Alex S. F. Kwong, Heather C. Whalley

Notice bibliographique

RevuemedRxiv · 2025
Typearticle
Langue
DomaineHealth Professions
ThématiqueFood Security and Health in Diverse Populations
Établissements canadiensnon disponible
Organismes subventionnairesUniversity of Bristol
Mots-clésMental healthLongitudinal studyStrengths and Difficulties QuestionnaireFood insecurityMultilevel modelLongitudinal dataChild developmentNational Child Development StudyChild health

Résumé

récupéré en direct d'OpenAlex

Abstract Background Food insecurity (FI) is associated with overall poorer mental health in childhood and adolescence and negatively impacts longer-term health. However, less is known about how differential exposure to FI may shape the development of different mental health symptoms over this period. Methods We used data from two population-based UK birth cohorts: the Avon Longitudinal Study of Parents and Children (ALSPAC; n=6,182; born 1991-1992) and Growing Up in Scotland (GUS; n=3,167; born 2004-2005). FI severity at age ∼5 years (No FI/Low FI/High FI) was determined from parent-reported difficulties affording food. Mental health symptoms were parent-reported over the following 10 years using the conduct, emotional, hyperactivity/inattention and peer problem subscales of the Strengths and Difficulties Questionnaire (SDQ). Trajectories were characterised using multilevel growth curve models adjusted for child sex, household income, maternal mental health and multiple deprivation index. Findings High FI at age ∼5 years was associated with worse trajectories of conduct, emotional, hyperactivity/inattention and peer problems over the following 10 years in both cohorts (vs. No FI). In ALSPAC, differences in conduct and hyperactivity/inattention scores were most pronounced at ages 7 (0.31 [0.11,0.51], p adj <.001) and 9 (0.44 [0.09,0.79], p adj =.008), respectively; these occurred at ages 13 (0.26 [0.04,0.48], p adj =.014) and 15 (0.43 [0.04,0.81], p adj =.023) in GUS. For emotional (ALSPAC: 0.46 [0.22,0.69], p adj <.001; GUS: 0.38 [0.16,0.59], p adj <.001) and peer problems (ALSPAC: 0.34 [0.13,0.55], p adj <.001; GUS: 0.25 [0.05,0.45], p adj =.01), differences between High and No FI groups were most pronounced at age 9 instead. Low FI was also associated – to a lesser degree – with higher peer problem trajectories (vs. No FI); this was most pronounced at age 13 in ALSPAC (0.13 [0.00,0.27], p =.031) and age 15 in GUS (0.28 [0.04,0.52], p =.016). Interpretation Children who experienced more severe FI had greater levels of mental health symptoms over the next 10 years, even after adjusting for sociodemographic confounders. FI severity may also display a dose-response effect for peer problems. While replication using more robust FI measures remains necessary, we provide further evidence of the persistent negative impact of FI on youth mental health – particularly during late childhood and mid-adolescence. Funding University of Edinburgh, Wellcome Trust, University of Bristol Research in context Evidence before this study We searched PubMed for studies examining youth mental health trajectories after early food insecurity (FI) using the following terms: (food) AND (insecur*) AND ((child*) OR (youth) OR (young people) OR (adolescen*)) AND (("mental health") OR (distress) OR (emotion*) OR (behavio*) OR (internali*) OR (externali*)) AND ((trajectory) OR (trajectories)). Three studies investigated the relationship between FI and youth mental health trajectories using data from South Africa, USA and Canada; none investigated the potential impact of marginal food security. Two studies found an association between FI and persistently high depressive and hyperactivity/inattention symptoms over 1-3.5 years of follow-up. The third study used latent growth curve analysis to investigate eight patterns of FI exposure (based on binary FI status over three timepoints) and teacher-reported behaviour problems, reporting no associations. This study, however, only examined linear changes in behavioural problems which typically follow a non-linear trajectory – i.e. age-related differences in rates of change were not considered. Added value of this study To our knowledge, this is the first study to investigate trajectories of mental health symptoms in two generations of UK children and adolescents following exposure to different levels of FI severity. Across two large, population-based birth cohorts, we found that high FI at age 5 was associated with worse 10-year trajectories of emotional, conduct, hyperactivity/inattention and peer problems compared to the no FI group. Low FI – reflecting marginal food security – also associated with heightened peer problems, suggesting a dose-response relationship. Greatest differences between food-secure and food-insecure children in this study occurred in late childhood and mid-adolescence. Findings additionally highlight that the impact of FI has remained consistent for UK children born in the early 1990s and mid-2000s, despite secular changes in youth mental health problems. Implications of all the available evidence Childhood food insecurity casts a long shadow on mental health and well-being outcomes throughout the lifespan, as demonstrated by substantial work from the 20 th and 21 st centuries. Here, we also see that the impact of FI on children and young people’s mental health has remained consistent over two generations of UK youth. If left unchecked, the growing prevalence of FI in the UK will only intensify concerns for the long-term mental health of the nation’s young people – especially those from low-income and marginalised backgrounds who already face a widening gap in health inequalities.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,263
Score d'incertitude au seuil0,524

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,004
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,003
Études des sciences et des technologies0,0010,001
Communication savante0,0020,001
Science ouverte0,0010,003
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,103
Tête enseignante GPT0,407
Écart entre enseignants0,304 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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