Evidence map›Paper›PMID 39070982›Full record

ArticleNutrition and metabolic insights2024

Major Dietary Patterns, Exercise Addiction, and Eating Disorders Among a Sample of Physically Active Young Adults.

Sahar Khoshro, Mahdieh Abbasalizad Farhangi

Abstract read
In one paragraph

Article in Nutrition and metabolic insights, 2024. 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

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

4 citing papers in PubMed.

  1. Article
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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

2 authors.

Sahar KhoshroFaculty of Nutrition, Department of Community Nutrition, Tabriz University of Medical Sciences, Tabriz, Iran.
Mahdieh Abbasalizad FarhangiFaculty of Nutrition, Department of Community Nutrition, Tabriz University of Medical Sciences, Tabriz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Regular exercise has been widely acknowledged for its numerous health benefits, including improvements in physical fitness, body function, and mental well-being. However, excessive exercise and unhealthy dietary patterns can lead to adverse effects on individuals' physical and psychological well-being. This study aimed to examine the association of dietary patterns, exercise addiction, and eating disorders among physically active young adults. Method: In this cross-sectional study, a total of 200 physically active young adults aged 18-35 years were included. The participants' dietary intake was assessed using a validated semi-quantitative food frequency questionnaire (FFQ) consisting of 80 food items. To determine dietary patterns, factor analysis was employed. Exercise addiction was evaluated using The Exercise Addiction Inventory (EAI) and Exercise Dependence Questionnaire (EDQ), and eating disorders were assessed using The Eating Disorder Examination-Questionnaire Short (EDE-QS). Result: Three main dietary patterns were identified: western, healthy, and traditional dietary patterns. The western dietary pattern was associated with increased waist-to-hip ratio ( Conclusion: According to our finding, those with the higher adherence to healthy dietary pattern had higher scores of exercise addiction and body shape concern. Also, eating disorder was a potential predictor of exercise addiction among young physically active individuals. Further research and targeted interventions are needed to better understand these complex relationships and develop effective strategies to promote healthy behaviors and mitigate the risk of adverse outcomes.

Indexed as

eating disordersExercise addictionmajor dietary patterns

Identifiers

PMID39070982
PMCPMC11273586

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.