Evidence map›Paper›PMID 34524973›Full record

ReviewJournal of behavioral addictions2021

The expanded interactional model of exercise addiction.

Jacob S Dinardi, Alexei Y Egorov, Attila Szabo

Abstract readReview
In one paragraph

Review in Journal of behavioral addictions, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. A file audit of gym usage in an Australian private inpatient psychiatric hospital.Australasian psychiatry : bulletin of Royal Australian and New Zealand College of Psychiatrists · 2024
    Article
  10. Article
  11. 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

3 authors.

Jacob S Dinardi1 Department of Kinesiology, San Francisco State University, San Francisco, CA, USA.ORCID 0000-0001-9912-9864
Alexei Y Egorov2 Department of Psychiatry and Addictions, Faculty of Medicine, St. Petersburg State University, St. Petersburg, Russia.ORCID 0000-0002-5737-8560
Attila Szabo4 Institute of Health Promotion and Sport Sciences, ELTE Eötvös Loránd University, Budapest, Hungary.ORCID 0000-0003-2788-4304

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsCited in over 100 articles, the interactional model of exercise addiction (Egorov & Szabo, 2013) forms the theoretical foundation of many studies on the risk of exercise addiction. Still, the inclusion of previously omitted determinants could make it more useful. Therefore, this review presents the expanded version of the original model.

methodWe added 'self-concept' as another determinant in the 'personal factors' domain and 'attractive alternatives' to the 'situational factors' domain. Further, we doubled the reasons for exercise in the 'incentives for exercise domain.' Last, we added a new domain, the 'exercise-related stressors,' to illustrate that exercise itself might be a source of stress.

resultsThe expanded model is more inclusive and accounts for a greater combination of interactions playing roles in exercise addiction. Overlooking the eventuality that stress resulting from exercise might also fuel the dysfunction was a significant omission from the original model, rectified in the current update. Finally, the new expansions make the model more applicable to competitive situations too.

conclusionThe expanded interactional model of exercise addiction is more comprehensive than its original version. It also accounts for the exercise or sport-related stress as possible fuel in addictive exercise behavior.

Indexed as

Behavior, AddictiveSportsExerciseHumansMotivationaddictioncompulsiondependencephysical activitytraining

Identifiers

PMID34524973
PMCPMC8997218

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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.