Ultra-Processed Food Is Positively Associated With Depressive Symptoms Among United States Adults.

NHANES cross-sectional study depressive symptoms dose-response ultra-processed food

Journal

Frontiers in nutrition
ISSN: 2296-861X
Titre abrégé: Front Nutr
Pays: Switzerland
ID NLM: 101642264

Informations de publication

Date de publication:
2020
Historique:
received: 30 08 2020
accepted: 19 11 2020
entrez: 1 1 2021
pubmed: 2 1 2021
medline: 2 1 2021
Statut: epublish

Résumé

Ultra-processed foods (UPFs) are popular in the United States. In recent years, there has been an increasing interest in the health impact of UPF. This study is conducted to assess the association between UPF consumption and depressive symptoms among United States adults. Data were collected from the National Health and Nutrition Examination Survey 2011-2016. Dietary data were obtained through 24-h dietary recall interviews. Depressive symptoms were detected by a nine-item Patient Health Questionnaire; participants with more than 10 points were diagnosed with depressive symptoms. Results of logistic regression revealed a positive association between UPF consumption and depressive symptoms. The study suggests that UPF may increase the risk of depressive symptoms, particularly in people with less exercise.

Identifiants

pubmed: 33385006
doi: 10.3389/fnut.2020.600449
pmc: PMC7770142
doi:

Types de publication

Journal Article

Langues

eng

Pagination

600449

Informations de copyright

Copyright © 2020 Zheng, Sun, Yu and Zhang.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Liwen Zheng (L)

Department of Epidemiology and Health Statistics, School of Public Health, Qingdao University, Qingdao, China.

Jing Sun (J)

Department of Epidemiology and Health Statistics, School of Public Health, Qingdao University, Qingdao, China.

Xiaohui Yu (X)

Department of Epidemiology and Health Statistics, School of Public Health, Qingdao University, Qingdao, China.

Dongfeng Zhang (D)

Department of Epidemiology and Health Statistics, School of Public Health, Qingdao University, Qingdao, China.

Classifications MeSH