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Validation of a new tool for the assessment of study quality and reporting in exercise training studies: TESTEX
Abstract
INTRODUCTION: Several established tools are available to assess study quality and reporting of randomized controlled trials; however, these tools were designed with clinical intervention trials in mind. In exercise training intervention trials some of the traditional study quality criteria, such as participant or researcher blinding, are extremely difficult to implement. METHODS: We developed the Tool for the assEssment of Study qualiTy and reporting in EXercise (TESTEX) - a study quality and reporting assessment tool, designed specifically for use in exercise training studies. Our tool is a 15-point scale (5 points for study quality and 10 points for reporting) and addresses previously unmentioned quality assessment criteria specific to exercise training studies. RESULTS: There were no systematic differences between the summated TESTEX scores of each observer [H(2)=0.392, P=0.822]. There was a significant association between the summated TESTEX scores of the three observers, with almost perfect agreement between observers 1 and 2 [intra-class correlation coefficient (ICC)=0.93, 95% confidence interval (CI) 0.82-0.97, P<0.001], observers 1 and 3 (ICC= 0.96, 95% CI 0.89-0.98, P<0.001) and observers 2 and 3 (ICC=0.91, 95% CI 0.75-0.96, P<0.001). CONCLUSIONS: The TESTEX scale is a new, reliable tool, specific to exercise scientists, that facilitates a comprehensive review of exercise training trials.
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“The validated Tool for the assEssment of Study qualiTy and reporting in EXercise (TESTEX) [26] was used to assess the methodological quality of the included studies.”
From The Effect of Exercise Training on Blood Lipids: A Systematic Review and Meta-analysis (2025) · cites this paper as [26]
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“Study quality was determined using the validated Tool for the Assessment of Study Quality and Reporting in Exercise (TESTEX) [39], a 15-point scale specific to exercise training studies”
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Cunha, P. M., Werneck, A. O., dos Santos, L., Oliveira, M. D., Zou, L., Schuch, F. B., & Cyrino, E. S. (2024) · Psychiatry Research · doi:10.1016/j.psychres.2024.115746 · Cited by 59
Kraal, J. J., Vromen, T., Spee, R. F., Kemps, H., & Peek, N. B. (2017) · International Journal of Cardiology · doi:10.1016/j.ijcard.2017.07.051 · Cited by 47
Pearson, M. J., Mungovan, S. F., & Smart, N. A. (2018) · Heart Failure Reviews · doi:10.1007/s10741-018-9677-0 · Cited by 48
Self-citationHoffmann, I., Kohl, M., von Stengel, S., Jakob, F., Kerschan-Schindl, K., Lange, U., Peters, S., Schoene, D., Sieber, C., Thomasius, F., et al. (2023) · Osteoporosis International · doi:10.1007/s00198-022-06592-8 · Cited by 49
Hejazi, K., Rahimi, G. R. M., & Rosenkranz, S. K. (2022) · Biological Research For Nursing · doi:10.1177/10998004221132841 · Cited by 47
Jewiss, D., Ostman, C., & Smart, N. A. (2017) · Journal of Sports Medicine · doi:10.1155/2017/4721548 · Cited by 46
Self-citationLiu, Y., Christensen, P. M., Hellsten, Y., & Gliemann, L. (2022) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000002955 · Cited by 45
Cid-Calfucura, I., Herrera-Valenzuela, T., Franchini, É., Falcó, C., Alvial-Moscoso, J., Pardo-Tamayo, C., Zapata-Huenullán, C., Ojeda-Aravena, A., & Valdés-Badilla, P. A. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20043516 · Cited by 45
Hoffmann, I., Shojaa, M., Kohl, M., von Stengel, S., Becker, C., Gosch, M., Jakob, F. J., Kerschan‐Schindl, K., Kladny, B., Clausen, J., et al. (2020) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.4683 · Cited by 52
García‐Suárez, P. C., Rentería, I., Plaisance, E. P., Moncada‐Jiménez, J., & Jiménez‐Maldonado, A. (2021) · Scientific Reports · doi:10.1038/s41598-021-88496-x · Cited by 49
Vårvik, F. T., Bjørnsen, T., & Gonzalez, A. M. (2021) · International Journal of Sport Nutrition and Exercise Metabolism · doi:10.1123/ijsnem.2020-0295 · Cited by 45
Metadata
- Authors
- Smart, N. A., Waldron, M., Ismail, H., Giallauria, F., Vigorito, C., Cornelissen, V., & Dieberg, G.
- Affiliations
- Federico II University Hospital (IT)
- University of New England (AU)
- Corresponding author
- Smart, Neil A.
- ORCID
- Venue
- International Journal of Evidence-Based Healthcare
- Published
- 2015-03
- Volume
- 13
- Issue
- 1
- Pages
- 9-18
- ISSN
- 1744-1595 (ISSN-L)
- 1744-1609
- OpenAlex
- W2315157830
- Cited by
- 499
- References
- 15
- Citations by year
- 2026: 64 · 2025: 87 · 2024: 66 · 2023: 63 · 2022: 63 · 2021: 67 · 2020: 29 · 2019: 24 · 2018: 15 · 2017: 12 · 2016: 7 · 2015: 2
- FWCI
- 10.93
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Evidence-Based Healthcare (publishedVersion)
- PubMed (publishedVersion)
- St Mary's University Repository (ULCC) (acceptedVersion)
- Lirias (KU Leuven) (submittedVersion)
- RUNE (Research UNE) (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Social Sciences › Sociology and Political Science › Delphi Technique in Research
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Reliability and Agreement in Measurement
- Keywords
- study quality assessment, reporting quality, randomized controlled trials, observer agreement, inter-rater reliability
- MeSH terms
- Exercise Therapy, Humans, Quality Assurance, Health Care, Biomedical Research
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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.
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