Evidence map›Paper›PMID 42294066›Full record

ArticleFood science & nutrition2026

Associations of Ultra-Processed Food Consumption and Night Eating With GI Symptom-Specific Anxiety in Reproductive-Age Women With Polycystic Ovary Syndrome.

Emine Merve Ekici, Sena Dilşad Akçakaya, Vefa Şakar, Özge Mengi Çelik

Abstract read
In one paragraph

Article in Food science & nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Emine Merve EkiciDepartment of Nutrition and Dietetics, Gülhane Health Sciences Faculty University of Health Sciences Ankara Turkey.ORCID https://orcid.org/0000-0001-5409-6309
Sena Dilşad AkçakayaDepartment of Nutrition and Dietetics, Gülhane Health Sciences Institute University of Health Sciences Ankara Turkey.ORCID https://orcid.org/0000-0002-7971-0157
Vefa ŞakarDepartment of Obstetrics and Gynecology Gülhane Training and Research Hospital Ankara Turkey.ORCID https://orcid.org/0000-0002-0094-308X
Özge Mengi ÇelikDepartment of Nutrition and Dietetics, Gülhane Health Sciences Faculty University of Health Sciences Ankara Turkey.ORCID https://orcid.org/0000-0002-0298-9591

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polycystic ovary syndrome (PCOS) is a complex endocrine disorder often accompanied by metabolic disturbances, night eating patterns, and gastrointestinal-related distress. This cross-sectional study examined the associations between ultra-processed food (UPF) consumption, night eating symptoms, and gastrointestinal (GI) symptom-specific anxiety in 205 women (aged 18-50 years) with a physician-confirmed PCOS diagnosis. Participants completed validated questionnaires assessing UPF consumption (sQ-HPF), the severity of night eating symptoms (NEQ), and GI-specific anxiety (VSI), alongside self-reported anthropometric measurements. Multiple linear regression models were used to identify independent associations, adjusting for body mass index (BMI), smoking status, and socioeconomic status. While higher UPF consumption was significantly associated with increased NEQ scores and higher GI-specific anxiety in bivariate analyses, its independent influence was attenuated in final adjusted regression models. In these adjusted models, GI-specific anxiety and BMI were independently associated with NEQ scores (

Indexed as

behavioral nutritiongastrointestinal‐specific anxietynight eating symptomspolycystic ovary syndromeultra processed food

Identifiers

PMID42294066
PMCPMC13253984

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.