Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 305

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

The exercise addiction inventory: a quick and easy screening tool for health practitioners: Table 1

Open access
Griffiths, M D, Szabo, A, Terry, A·2005·British Journal of Sports Medicine

Abstract

Background:Exercise addiction is not routinely screened for probably because available instruments take a long time to administer, their scoring may be complicated, and their interpretation is not always obvious. A new psychometric instrument has been developed that is capable of identifying people affected by, or at risk of, exercise addiction: the exercise addiction inventory (EAI). A preliminary report showed the EAI had good reliability and validity. Objectives:To test further the EAI’s psychometric properties and show that it would be quick and simple to administer by general practitioners. Methods:A sample of 200 habitual exercisers were given the EAI and two existing exercise addiction scales (obligatory exercise questionnaire; exercise dependence scale). Two weeks later, another sample of 79 exercisers were administered the EAI to determine the test-retest reliability of the questionnaire. Results:The original data from the preliminary report were reanalysed to determine the split half correlation of the EAI. This was found to be 0.84 (Guttman split-half coefficient). A correlation between weekly frequency of exercising and EAI scores was also determined, and it was found that the two variables shared 29% of the variance (r2 = 0.29). The test-retest reliability of the scale was found to be very good (0.85). Conclusions:The EAI is a valid and reliable tool which would be capable of helping general practitioners to quickly and easily identify people affected by, or at risk of, exercise addiction.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1136/bjsm.2004.017020

Cites

9 of 9 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 9 references

Research works printed but not linked: 7

  1. 1998, Int J Eat Disord, 7, 759
  2. 1989, Ulster Med J, 58, 100
  3. 2000, Int J Sport Psychol, 31, 278
  4. 1985, Lancet, 1, 286
  5. Brown RIF. Some contributions of the study of gambling to the study of other addictions. In Eadington WR, Cornelius JA, eds. Gambling behaviour and problem gambling. Reno: University of Nevada Press, 1993:241–72.
  6. 1996, Journal of Workplace Learning, 8, 19
  7. 2001, Psychology and Health, 17, 387

Cited by

See all 305

Metadata

Authors
Griffiths, M. D., Szabo, A., & Terry, A.
Venue
British Journal of Sports Medicine
Publisher
BMJ
Published
2005-05-23
Volume
39
Issue
6
Pages
e30-e30
ISSN
  • 0306-3674 (ISSN-L)
  • 1473-0480
OpenAlex
W2117767950
Cited by
305
References
9
FWCI
1.64
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: The exercise addiction inventory: a quick and easy screening tool for health practitioners: Table 1. https://app.cochat.ai/papers/10.1136/bjsm.2004.017020
The paper
Griffiths, M. D., Szabo, A., & Terry, A. (2005). The exercise addiction inventory: a quick and easy screening tool for health practitioners: Table 1. British Journal of Sports Medicine. https://doi.org/10.1136/bjsm.2004.017020

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.