Uniwersyteckie Czasopisma NaukoweValidation and psychometric evaluation of the Polish version of the Exercise Addiction Inventory (EAI-PL)
Słowa kluczowe:
exercise addiction, exercise dependence, Exercise Addiction Inventory, psychometrics, PolandAbstrakt
Background:
Exercise addiction (EA) is manifested by loss of control over exercising and experiencing numerous negative consequences. One of the most commonly used psychometric instruments to assess the risk of exercise addiction is the sixitem Exercise Addiction Inventory (EAI). The present study translated and validated the EAI into Polish and evaluated its psychometric properties.
Participants and procedure:
The study included 858 adult participants (54% female) aged between 18 and 69 years (M = 35.20, SD = 9.54) who exercised recreationally. Participants completed the EAI along with exercise-specific questions and basic demographics. Additionally, a subsample (n = 214) completed the Exercise Dependence Scale-Revised. Confirmatory factor analysis (CFA) was conducted to assess the construct validity of the Polish EAI. Convergent and criterion validity, as well as reliability, were also assessed.
Results:
The CFA confirmed the one-factor model with good fit statistics (comparative fit index and Tucker-Lewis index > .95, root-mean square error of approximation < .08). The EAI was invariant between men and women. Convergent validity was adequate. The scale’s internal consistency was excellent (Cronbach’s α = .91, McDonald’s ω = .91, and composite reliabil-ity = .91).
Conclusions:
The present study successfully validated the EAI among Polish adults. The results provide robust evidence concerning the scale’s reliability, construct validity, and convergent validity, enabling further research on exercise addiction in Poland.
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Bibliografia
Akbari, M., Zamani, E., Seydavi, M., Griffiths, M. D., & Pakpour, A. H. (2023). The Persian Exercise Addiction Inventory – adult and youth versions: Psychometric properties based on Rasch analysis among Iranians. International Journal of Mental Health and Addiction, 21, 3376–3392. https://doi.org/10.1007/s11469-022-00797-y
Alcaraz-Ibáñez, M., Paterna, A., Griffiths, M. D., Demetrovics, Z., & Sicilia, A. (2022). Gender-related differences in self-reported problematic exercise symptoms: a systematic review and meta-analysis. Psychology of Sport and Exercise, 63, 102280. https://doi.org/10.1016/j.psychsport.2022.102280
Allegre, B., & Therme, P. (2008). Confirmative study of a French version of the Exercise Dependence Scale-Revised with a French population. Encephale, 5, 490–495. https://doi.org/10.1016/j.encep.2007.08.004
American Psychiatric Association (1994). Diagnostic and statistical manual of mental disorders (4th ed.). American Psychiatric Association.
American Psychological Association (2017). Ethical principles of psychologists and code of conduct (2002, amended effective June 1, 2010, and January 1, 2017). Retrieved from https://www.apa.org/ethics/code/ [accessed August 15, 2024]
Aydin, D., Bilge Baltaci, U., Erzen, E., Szabo, A., & Griffıths, M. D. (2023). The Turkish version of the Exercise Addiction Inventory: Validity and reliability. Addicta, 10, 184–193. https://doi.org/10.5152/ADDICTA.2023.22077
Beaton, D. E., Bombardier, C., Guillemin, F., & Ferraz, M. B. (2000). Guidelines for the process of crosscultural adaptation of self-report measures. Spine, 25, 3186–3191. https://doi.org/10.1097/00007632-200012150-00014
Berczik, K., Szabo, A., Griffiths, M. D., Kurimay, T., Kun, B., & Urbán, R. (2012). Exercise addiction: Symptoms, diagnosis, epidemiology, and etiology. Substance Use and Misuse, 47, 403–417. https://doi.org/10.3109/10826084.2011.639120
Byrne, B. M., Shavelson, R. J., & Muthén, B. (1989). Testing for the equivalence of factor covariance and means structures: The issue of partial measurement invariance. Psychological Bulletin, 105, 456–466. https://doi.org/10.1037/0033-2909.105.3.456
Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9, 233–255. ttps://doi.org/10.1207/S15328007SEM0902_5
Dancey, C. P., & Reidy, J. (2017). Statistics without maths for psychology (7th ed.). Pearson Education Inc.
Danych, K., Polok, M., & Guszkowska, M. (2019). Polska adaptacja kwestionariusza Exercise Dependence Scale [Polish adaptation of the Exercise Dependence Scale]. In M. Guszkowska, Z. Gazdowska, & N. Koperska (Eds.), Narzędzia pomiaru w psychologii sportu [Measurement tools in sports psychology] (pp. 107–121). Akademia Wychowania Fizycznego Józefa Piłsudskiego.
Demetrovics, Z., & Kurimay, T. (2008). Exercise addiction: a literature review. Psychiatria Hungarica, 23, 129–141.
Egorov, A. Y., & Szabo, A. D. (2013). The exercise paradox: an interactional model for a clearer conceptualisation of exercise addiction. Journal of Behavioral Addictions, 2, 199–208. https://doi.org/10.1556/JBA.2.2013.4.2
Faul, F., Erdfelder, E., Lang, A. G., & Buchner, A. (2007). G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39, 175–191. https://doi.org/10.3758/bf03193146
Field, A. (2013). Discovering statistics using IBM SPSS statistics (4th ed.). Sage Publications.
Foster, A. C., Shorter, G. W., & Griffiths, M. D. (2015). Muscle dysmorphia: Could it be classified as an addiction to body image? Journal of Behavioral Addictions, 4, 1–5. https://doi.org/10.1556/JBA.3.2014.001
Gori, A., Topino, E., & Griffiths, M. D. (2021). A screening tool for exercise addiction: The psychometric properties of the Italian Exercise Addiction Inventory. International Journal of Mental Health and Addiction, 21, 1618–1635. https://doi.org/10.1007/s11469-021-00681-1
Granziol, U., Griffiths, M. D., Zou, L., Yang, P., Herschel, H. K., Junker, A., Akimoto, T., Stoll, O., Alpay, M., Aydın, Z., Zandonai, T., Lodovico, L., Lichtenstein, M. B., Trott, M., Portman, R. M., Schipfer, M., Cook, B., Cerea, S., Egorov, A. Y., … Szabo, A. (2024). The expanded Exercise Addiction Inventory (EAI-3): Towards reliable and international screening of exercise-related dysfunction. International Journal of Mental Health and Addiction, 22, 3559–3585. https://doi.org/10.1007/s11469-023-01066-2
Griffiths, M. D. (2005). A ‘components’ model of addiction within a biopsychosocial framework. Journal of Substance Use, 10, 191–197. https://doi.org/10.1080/14659890500114359
Griffiths, M. D., Landolfi, E., & Szabo, A. (2024). Does exercise addiction exist among individuals engaged in team-based exercise? A position paper. International Journal of Mental Health and Addiction, 22, 3133–3148. https://doi.org/10.1007/s11469-023-01039-5
Griffiths, M. D., Urbán, R., Demetrovics, Z., Lichtenstein, M. B., de la Vega, R., Kun, B., Ruiz-Barquín, R., Youngman, J., & Szabo, A. (2015). A cross-cultural re-evaluation of the Exercise Addiction Inventory (EAI) in five countries. Sports medicine Open, 1, 5. https://doi.org/10.1186/s40798-014-0005-5
Hausenblas, H. A., & Downs, D. S. (2002a). Exercise Dependence Scale-21 Manual. Florida University.
Hausenblas, H. A., & Downs, D. S. (2002b). How much is too much? The development and validation of the Exercise Dependence Scale. Psychology & Health, 17, 387–404. https://doi.org/10.1080/0887044022000004894
Hu, L., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 3, 424–453. https://doi.org/10.1037/1082-989X.3.4.424
Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). Guilford Press.
Krzyżak-Szymańska, E., & Szymański, A. (2023). Physical exercise addiction among students based on the EDS-R scale adapted for Poland. Studia Paedagogica Ignatiana, 2, 125–144. https://doi.org/10.12775/SPI.2023.2.006
Lichtenstein, M. B., Christiansen, E., Bilenberg, N., & Støving, R. K. (2014). Validation of the Exercise Addiction Inventory in a Danish sport context. Scandinavian Journal of Medicine and Science in Sports, 24, 447–453. https://doi.org/10.1111/j.1600-0838.2012.01515.x
Marsh, H. W. (1993). The multidimensional structure of physical fitness: Invariance over gender and age. Research Quartely for Exercise and Sport, 64, 256–273. https://doi.org/10.1080/02701367.1993.10608810
Mayers, A. (2013). Introduction to statistics and SPSS in psychology. Pearson Education Limited.
Mónok, K., Berczik, K., Urbán, R., Szabo, A., Griffiths, M. D., Farkas, J., Magi, A., Eisinger, A., Kurimay, T., Kökönyei, G., Kun, B., Paksi, B., & Demetrovics, Z. (2012). Psychometric properties and concurrent validity of two exercise addiction measures: a population wide study. Psychology of Sport and Exercise, 13, 739–746. https://doi.org/10.1016/j.psychsport.2012.06.003
Peterson, R. A., & Kim, Y. (2013). On the relationship between coefficient alpha and composite reliability. Journal of Applied Psychology, 98, 194–198. https://doi.org/10.1037/a0030767
Posadzki, P., Pieper, D., Bajpai, R., Makaruk, H., Könsgen, N., Neuhaus, A. L., & Semwal, M. (2020). Exercise/ physical activity and health outcomes: an overview of Cochrane systematic reviews. BMC Public Health, 20, 1724. https://doi.org/10.1186/s12889-020-09855-3
Pujals, C., Baile, J. I., & González-Calderón, M. J. (2018). Evaluating the psychometric properties of the Exercise Dependence Scale-Revised (EDS-R) in a Spanish sample. Pensando Psicología, 14, 1–13. https://doi.org/10.16925/pe.v14i23.2267
Rowicka, M. (2023). The factorial validity and psychometric properties of the Polish version of Exercise Dependence Scale-Revised (EDS-R). Alcoholism and Drug Addiction, 36, 221–234. https://doi.org/10.5114/ain.2023.137178
Salazar, D., Cantú, A., Ceballos, A., & Berengüí, R. (2021). Exercise addiction in Mexico: Psychometric properties of the Exercise Addiction Inventory and risk analysis. Suma Psicológica, 28, 97–103. https://doi.org/10.14349/sumapsi.2021.v28.n2.4
Sicilia, Á., Alías-Garcia, A., Ferriz, R., & Moreno-Murcia, J. A. (2013). Spanish adaptation and validation of the Exercise Addiction Inventory (EAI). Psicothema, 25, 377–383. https://doi.org/10.7334/psicothema2013.21
Sicilia, A., Paterna, A., Alcaraz-Ibáñez, M., & Griffiths, M. D. (2021). Theoretical conceptualizations of problematic exercise in psychometric assessment instruments: a systematic review. Journal of Behavioral Addictions, 10, 4–20. https://doi.org/10.1556/2006.2021.00019
Sicilia, A., Paterna, A., Alcaraz-Ibáñez, M., & Griffiths, M. D. (2022). A review of the components of problematic exercise in psychometric assessment instruments. Frontiers in Public Health, 10, 839902. https://doi.org/10.3389/fpubh.2022.839902
Szabo, A. (2021). Model fit and reliability of the Hungarian version of the Revised Exercise Addiction Inventory (EAI-R-HU). Mentálhigiéné és Pszichoszomatika, 22, 376–394. https://doi.org/10.1556/0406.22.2021.013
Szabo, A., & Demetrovics, Z. (2022). Passion and addiction in sports and exercise. Routledge.
Szabo, A., Pinto, A., Griffiths, M. D., Kovácsik, R., & Demetrovics, Z. (2019). The psychometric evaluation of the Revised Exercise Addiction Inventory: Improved psychometric properties by changing item response rating. Journal of Behavioral Addictions, 8, 157–161. https://doi.org/10.1556/2006.8.2019.06
Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (5th ed.). Pearson Education.
Tata, P., Fox, J., & Cooper, J. (2001). An investigation into the influence of gender and parenting styles on excessive exercise and disordered eating. European Eating Disorders Review, 9, 194–206. https://doi.org/10.1002/erv.394
Terry, A., Szabo, A., & Griffith, M. D. (2004). The exercise addiction inventory: a new brief screening tool. Addiction Research and Theory, 12, 489–499. https://doi.org/10.1080/16066350310001637363
World Health Organization (2020). WHO guidelines on physical activity and sedentary behaviour. World Health Organization.
Zulyniak, S., Williams, J. V. A., Bulloch, A. G. M., Lukmanji, A., & Patten, S. B. (2020). The association of recreational and non-recreational physical activity with mental health: a Canadian cross-sectional analysis. Journal of Affective Disorders Reports, 1, 100021. https://doi.org/10.1016/j.jadr.2020.100021
