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Enregistrement W4410391298 · doi:10.11606/t.6.2025.tde-15052025-160201

Relação do consumo de alimentos ultraprocessados e atividade física com a incidência de sintomas transtornos mentais comuns

2025· dissertation· pt· W4410391298 sur OpenAlex

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Notice bibliographique

Revuenon disponible
Typedissertation
Languept
DomaineHealth Professions
ThématiqueHealthcare Regulation
Établissements canadiensnon disponible
Organismes subventionnairesMinistério da SaúdeConselho Nacional de Desenvolvimento Científico e TecnológicoCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorAssociação Brasileira de Saúde ColetivaEuropean CommissionFundação de Amparo à Pesquisa do Estado de São PauloUniversidade Federal de PelotasInternational Development Research CentreWellcome TrustWorld Health Organization
Mots-clésPsychologyHumanitiesArt

Résumé

récupéré en direct d'OpenAlex

Introduction: Diet and physical activity are associated with the incidence of common mental disorders symptoms.This thesis aims to expanding the research of how ultraprocessed foods and domain-based physical activity could be independently and jointly associated with symptoms of common mental disorders.Objective: To investigate the prospective associations of diet quality indicators and physical activity with the incidence of symptoms of common mental disorders in adults.Methods: Data from the cohorts 1982 Pelotas Birth Cohort (n=5,914 in 1982), 1993 Pelotas Birth Cohort (n=5,249 in 1993) and NutriNet Brasil cohort.The 2004/05 and 2012 waves of the 1982 Pelotas Birth Cohort were used, while cohort members were 23 and 30 years old, respectively.The 2011 and 2015 waves were used in the 1993 Pelotas Birth Cohort, when cohort members were 18 and 22 years old, respectively.Dietary intake was assessed using a food frequency questionnaire during the first selected wave of each cohort, and the consumption of ultra-processed foods was estimated using the Nova classification.The incidence of symptoms of common mental disorders was assessed using the Self-Reporting Questionnaire.In the NutriNet Brazil cohort, dietary intake was assessed using two 24-h dietary recalls, and the contribution of ultra-processed foods to the diet was estimated using the Nova classification.Two food screeners (Nova24h screener) were also used (i.e., ultra-processed foods and whole plant foods).The incidence of depressive symptoms was estimated using the Patient Health Questionnaire-9.The first manuscript investigates the association between consumption of ultra-processed foods and the incidence of symptoms of common mental disorders using data from the 1982 and 1993 Pelotas Birth Cohorts.The second manuscript investigates the association between adherence to the ultra-processed diet pattern and incident depressive symptoms using data from the NutriNet Brazil cohort.The third manuscript investigates the independent and combined associations of consumption of ultra-processed foods, whole plant foods, and domain-based physical activity with the incidence of depressive symptoms using data from the NutriNet Brazil cohort.Results: There were no associations between higher dietary share of ultra-processed foods and the incidence of symptoms of common mental disorders in both Pelotas Birth Cohorts (reference: Q1: Q2: HR = 1.15, 95% CI: 0.93-1.42;Q3 = 0.91, 0.73-1.14;Q4 = 0.97, 0.77-1.21).However, higher adherence to the ultra-processed diet pattern was associated with a higher incidence of depressive symptoms in the NutriNet Brazil cohort, with a 10% increase in the dietary share of ultra-processed foods being associated with a 10% higher risk for the development of depressive symptoms (HR: 1.10; 95%CI: 1.07-1.14).Moreover, this association was attenuated but not eliminated when including the nutritional profile of the diet and the consumption of fruits and vegetables in the model.In the systematic review, followed by a metaanalysis, conducted including the findings of the NutriNet Brazil cohort, people with a higher consumption of ultra-processed foods (highest quartile or quintile) had a 32% higher risk than people with lower consumption (lowest quartile or quintile) for the incidence of depressive outcomes.Regarding the Nova24h screeners, it was found that both a higher consumption of ultra-processed foods and a lower consumption of whole plant foods were independently associated with a higher risk for incident depressive symptoms in the NutriNet cohort.Only leisure-time physical activity was associated with a lower incidence of depressive symptoms.There was an additive interaction between higher consumption of ultra-processed foods and the lack of leisure-time physical activity practice, resulting in a combined risk higher than the sum of the individual risks (relative excess risk of interaction: 0.18; 95%CI: 0.01 -0.35).Conclusions: Higher adherence to the ultra-processed diet pattern is associated with higher incident depressive symptoms, while higher consumption of whole plant foods and leisure-time physical activity are associated with lower incident depressive symptoms.The main findings indicate that measures promoting the reduction of ultraprocessed food consumption and encouraging leisure-time physical activity should be taken together.

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.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Études des sciences et des technologies, Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesMéta-épidémiologie (sens strict), Intégrité de la recherche
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,138
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,001
Méta-épidémiologie (sens strict)0,0020,002
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0010,002
Études des sciences et des technologies0,0030,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0040,004
Charge utile insuffisante (le modèle a refusé de juger)0,0040,001

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 Opus0,056
Tête enseignante GPT0,440
Écart entre enseignants0,384 · 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

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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