Evidence map›Paper›PMID 39679015›Full record

ArticleJournal of education and health promotion2024

A cross-sectional study to estimate the prevalence of eating disorders and ascertain factors for eating disorder risk among senior college students in a metropolitan city.

Rujuta S Hadaye, S Rahini

Abstract read
In one paragraph

Article in Journal of education and health promotion, 2024. 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

2 authors.

Rujuta S HadayeDepartment of Community Medicine, T. N. Medical College and B.Y.L. Nair Ch. Hospital, Mumbai, Maharashtra, India.
S RahiniDepartment of Community Medicine, Sri Venkateswaraa Medical College Hospital and Research Institute, Chennai, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEating disorders are more prevalent in Western countries and their prevalence is on the rise in India, mainly due to peer pressure and the influence of media. However, research on eating disorders is limited in India. The aim of this study is to estimate the prevalence of eating disorders among senior college students and to ascertain factors for eating disorder risk. MATERIALS AND

methodsA cross-sectional study was conducted among 807 students attending 2 of the arts and science colleges in a metropolitan city (Mumbai) over a period of 12 months from June 2019 to June 2020. A predesigned case record form was used to collect information on sociodemographic profiles and other factors related to eating disorder risk. Eating Attitude test (EAT-26) was used as a screening test to find the prevalence of those at risk for eating disorders. Munich-ED quest was used for the diagnosis of the eating disorder.

resultsData were analyzed using SPSS version 16.0. The Chi-square test was used to find the association of various factors with eating disorder risk. Our study found the overall proportion of eating disorder risk to be 42.25%. Among them, 19 (2.35%) individuals had night eating syndrome and 7 (0.86%) had binge eating syndrome as per DSM-5 criteria using Munich ED Quest. On logistic regression, we found fasting once or twice a week (OR: 2.916;95%CI: 1.524-5.574;

conclusionScreening of students with a simple tool like EAT-26 would prove beneficial in the early identification of those at risk of eating disorders.

Indexed as

Binge eatingeating disorderpeer pressurerisk factorsscreening

Identifiers

PMID39679015
PMCPMC11639438

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

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.