Document Type : Research Paper
Authors
1
Assistant Professor of Sports Psychology Department, Sport Sciences Research Institute, Tehran, Iran.
2
Ph.D. in sports psychology, assistant professor and faculty member of Farhangian University, Fatemeh Al-Zahra Campus, Department of Psychology and Counselling, Farhangian University, Tehran, Iran.
Abstract
This study aimed to analyze the path between Body Mass Index (BMI) and early maladaptive schemas, with the mediating role of demographic and socioeconomic factors in athletes. This was a descriptive study of the path analysis type. A total of 395 male and female athletes from various sports clubs in Iran, in 2023 using a convenience sampling method. Demographic characteristics and early maladaptive schema questionnaires were administered to them. The Pearson correlation matrix revealed significant linear relationships between early maladaptive schemas and BMI, gender, education, marital status, and employment (p< 0.01). Linear and quadratic regression analyses showed a significant prediction of BMI through gender, education, marital status, employment, sports experience, levels of medals earned, and sports position (p< 0.01). The effect of early maladaptive schemas, socioeconomic and demographic factors on BMI, as well as the interaction effects of socio-economic factors on demographic factors and BMI, and demographic factors on BMI, were all significant (p < 0.05). The effect of early maladaptive schemas on BMI through socio-economic factors was significant (p < 0.05). Additionally, the effect of socioeconomic factors on BMI, mediated by demographic factors, was significant (p < 0.01). The effect of early maladaptive schemas on demographic factors, mediated by socio-economic factors, was significant (p < 0.01). Furthermore, the effect of early maladaptive schemas on BMI, mediated by both socio-economic and demographic factors, was significant (p < 0.01). So, BMI can be predicted through early maladaptive schemas, with the mediation of educational and occupational levels, marital status, and gender.
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