BACKGROUND: The purpose of this study was to validate the Addiction Exercise Inventory (EAI) in the Spanish context. METHOD: Five hundred and eighty-four university students participated in the study, completing a questionnaire that assessed exercise addiction, exercise frequency and intensity. RESULTS: The results supported the factor structure of the EAI model. An alpha value of .70 and high level of temporal stability (ICC = .92) were obtained. The structure of the model was invariant across gender. A group of 87 students (14.9%) obtained a total score equal to or higher than 24 in the EAI and were classified as being at risk of exercise addiction. Students exercising more than three days per week at high intensity obtained higher scores in exercise addiction than students exercising at low-medium intensity, regardless of their frequency. CONCLUSIONS: The findings of this study showed the reliability and validity of the EAI in a Spanish context, providing a practical instrument that allows screening for exercise addiction.
BACKGROUND: The purpose of this study was to validate the Addiction Exercise Inventory (EAI) in the Spanish context. METHOD: Five hundred and eighty-four university students participated in the study, completing a questionnaire that assessed exercise addiction, exercise frequency and intensity. RESULTS: The results supported the factor structure of the EAI model. An alpha value of .70 and high level of temporal stability (ICC = .92) were obtained. The structure of the model was invariant across gender. A group of 87 students (14.9%) obtained a total score equal to or higher than 24 in the EAI and were classified as being at risk of exercise addiction. Students exercising more than three days per week at high intensity obtained higher scores in exercise addiction than students exercising at low-medium intensity, regardless of their frequency. CONCLUSIONS: The findings of this study showed the reliability and validity of the EAI in a Spanish context, providing a practical instrument that allows screening for exercise addiction.
Authors: Adilson Marques; Miguel Peralta; Hugo Sarmento; Vânia Loureiro; Élvio R Gouveia; Margarida Gaspar de Matos Journal: Sports Med Date: 2019-02 Impact factor: 11.136
Authors: Carmen Mayolas-Pi; Javier Simón-Grima; Carlos Peñarrubia-Lozano; Diego Munguía-Izquierdo; Diego Moliner-Urdiales; Alejandro Legaz-Arrese Journal: J Behav Addict Date: 2017-03-01 Impact factor: 6.756
Authors: Javier Bueno-Antequera; Carmen Mayolas-Pi; Joaquin Reverter-Masià; Isaac López-Laval; Miguel Ángel Oviedo-Caro; Diego Munguía-Izquierdo; Mercedes Ruidíaz-Peña; Alejandro Legaz-Arrese Journal: Int J Environ Res Public Health Date: 2020-06-11 Impact factor: 3.390
Authors: Manuel Alcaraz-Ibáñez; Álvaro Sicilia; Delia C Dumitru; Adrian Paterna; Mark D Griffiths Journal: J Behav Addict Date: 2019-09-23 Impact factor: 6.756