Evidence map›Paper›PMID 41624266›Full record

ArticleScientifica2026

Prevalence and Determinants of Fast Food Consumption Among Medical Sciences Students in Kermanshah, Iran.

Maryam Janatolmakan, Shahab Rezaeian, Ali Soroush, Mahnaz Ghowsi, Alireza Khatony

Abstract read
In one paragraph

Article in Scientifica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Maryam JanatolmakanSocial Development and Health Promotion Research Center, Health Policy and Promotion Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran, kums.ac.ir.ORCID https://orcid.org/0000-0003-1450-1554
Shahab RezaeianInfectious Diseases Research Centre, Health Policy and Promotion Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran, kums.ac.ir.ORCID https://orcid.org/0000-0002-5094-5315
Ali SoroushSocial Development and Health Promotion Research Center, Health Policy and Promotion Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran, kums.ac.ir.ORCID https://orcid.org/0000-0002-1279-3883
Mahnaz GhowsiSocial Development and Health Promotion Research Center, Health Policy and Promotion Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran, kums.ac.ir.ORCID https://orcid.org/0000-0002-2243-696X
Alireza KhatonySocial Development and Health Promotion Research Center, Health Policy and Promotion Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran, kums.ac.ir.ORCID https://orcid.org/0000-0003-3552-5539

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent evidence highlights a concerning increase in fast food consumption among university students. This study aimed to assess the prevalence and determinants of fast food consumption among medical sciences students in Kermanshah, Iran. A cross-sectional study was conducted involving 300 students selected through the stratified random sampling technique. Data were collected using a structured questionnaire and a personal information form. Statistical analysis was performed using SPSS Version 18, applying both descriptive and inferential statistics, including an adjusted Poisson regression model to identify factors associated with fast food consumption. The findings showed that the prevalence of fast food consumption in the past week was 55.7%. Significant determinants included age (incidence rate ratio [IRR] = 1.51, 95% confidence interval [CI] = 1.09-2.09, and

Indexed as

fast foodmedical sciences studentsprevalencereasons

Identifiers

PMID41624266
PMCPMC12856062

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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.