Evidence map›Paper›PMID 40692606›Full record

ArticleFood science & nutrition2025

The Association between Ultra-Processed Foods and Depression, Anxiety and Sleep in Adults: A Cross-Sectional Study in Iran.

Niloufar Abdollahpour, Seyedeh Atieh Mousavi Fard, Alae Salahmanesh, Hossein Hatamzadeh, Reza Moeini, Sara Saffar Soflaei, Najmeh Seifi, Majid Ghayour-Mobarhan

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Article in Food science & nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Niloufar AbdollahpourDepartment of Nutrition, Faculty of Medicine Mashhad University of Medical Sciences Mashhad Iran.
Seyedeh Atieh Mousavi FardMetabolic Syndrome Research Center Mashhad University of Medical Sciences Mashhad Iran.
Alae SalahmaneshDepartment of Nutrition, Faculty of Medicine Mashhad University of Medical Sciences Mashhad Iran.
Hossein HatamzadehDepartment of Nutrition, Faculty of Medicine Mashhad University of Medical Sciences Mashhad Iran.
Reza MoeiniMetabolic Syndrome Research Center Mashhad University of Medical Sciences Mashhad Iran.
Sara Saffar SoflaeiMetabolic Syndrome Research Center Mashhad University of Medical Sciences Mashhad Iran.
Najmeh SeifiDepartment of Nutrition, Faculty of Medicine Mashhad University of Medical Sciences Mashhad Iran.
Majid Ghayour-MobarhanDepartment of Nutrition, Faculty of Medicine Mashhad University of Medical Sciences Mashhad Iran.ORCID https://orcid.org/0000-0002-1081-6754

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing consumption of ultra-processed foods (UPFs) has raised concerns about their impact on human health, yet their relationship with mental health remains debated. This study aimed to investigate the association between UPF intake and sleep adequacy, as well as the severity of anxiety and depression in Iranian adults. A cross-sectional analysis was conducted on 5476 adults aged 35-65 years from the MASHAD study. Dietary intake was assessed using a validated food frequency questionnaire, and UPFs were classified based on the NOVA system. Depression and anxiety severity were measured using the Beck Depression Inventory (BDI) and Beck Anxiety Inventory (BAI), respectively. Sleep adequacy was defined as more than seven 7 h of sleep per night, based on self-reported data. Higher UPF consumption was linked to increased odds of severe depression (OR = 1.25, 95% CI: 1.01-1.54), but this association lost statistical significance after full adjustment (OR = 1.25, 95% CI: 0.99-1.57). Subgroup analysis revealed a significant association in females, where high UPF intake was associated with a 44% higher risk of severe depression (OR = 1.44, 95% CI: 1.09-1.90,

Indexed as

anxietydepressionmental healthsleepultra‐processed foods

Identifiers

PMID40692606
PMCPMC12277236

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.