Adherence to the ultra-processed dietary pattern and risk of depressive outcomes : Findings from the NutriNet Brasil cohort study and an updated systematic review and meta-analysis

Copyright © 2024 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved..

BACKGROUND & AIMS: We aimed to analyze the prospective association between adherence to the ultra-processed dietary pattern and risk of depressive outcomes using original data from the NutriNet Brasil cohort and via a systematic review and meta-analysis of observational studies that have investigated the same association.

METHODS: In our original research analysis, we used data from 15,960 adults (≥18 y) participating in the NutriNet Brasil cohort study, free of depression or depressive symptoms during the baseline (77.5% women, 45.8 ± 13.0 y). The mean dietary share of ultra-processed foods (%Kcal/d), calculated from two baseline 24-h dietary recalls, was used to measure the adherence to the ultra-processed dietary pattern. New cases of depressive symptoms were assessed using the Patient Health Questionnaire-9 over the follow-up period (mean: 18.3 months). Cox proportional hazards models were used for the main analyses. In our systematic review and meta-analysis, we incorporated effect estimates from six prospective cohort studies that have examined the same association, including ours.

RESULTS: In the adjusted model, each 10% increase in the dietary share of ultra-processed foods was associated with a 10% increase in the hazard of incident cases of depressive symptoms (HR:1.10; 95%CI: 1.07-1.14). This association was slightly attenuated in the models including potential mediators. In our meta-analysis of six prospective studies, high versus low exposure to ultra-processed foods was associated with a summary hazard ratio of depressive outcomes of 1.32; 95%CI: 1.19-1.46; I2: 71%.

CONCLUSION: A higher adherence to the ultra-processed dietary pattern was associated with a higher risk of developing depressive outcomes in the NutriNet Brasil cohort and in the meta-analysis.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:43

Enthalten in:

Clinical nutrition (Edinburgh, Scotland) - 43(2024), 5 vom: 01. Apr., Seite 1190-1199

Sprache:

Englisch

Beteiligte Personen:

Werneck, André O [VerfasserIn]
Steele, Euridice M [VerfasserIn]
Delpino, Felipe M [VerfasserIn]
Lane, Melissa M [VerfasserIn]
Marx, Wolfgang [VerfasserIn]
Jacka, Felice N [VerfasserIn]
Stubbs, Brendon [VerfasserIn]
Touvier, Mathilde [VerfasserIn]
Srour, Bernard [VerfasserIn]
Louzada, Maria Lc [VerfasserIn]
Levy, Renata B [VerfasserIn]
Monteiro, Carlos A [VerfasserIn]

Links:

Volltext

Themen:

Food processing
Journal Article
Major depressive disorder
Mental health
Nova food classification system
Nutritional psychiatry

Anmerkungen:

Date Revised 13.04.2024

published: Print-Electronic

Citation Status Publisher

doi:

10.1016/j.clnu.2024.03.028

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM37103213X