In the master's thesis we explored the relationship between the level of sports participation (competitive and recreational) and subjective well-being and anxiety in people with congenital and acquired disabilities. Because disabled people with different sources of disability were exposed to different life circumstances, we examined also whether the interactions between the different sources of disability and the level of sports participation on different scales prove to be important predictors of measured components. Through an online survey and a paper version of the questionnaire, we collected data from 266 disabled people, on average 45 years old (41% women), of which 180 (68%) with acquired disabilities and 109 (41%) competitively active in sports. Participants completed questionnaires on life satisfaction, anxiety as a personality trait, and psychological well-being. We used hierarchical regression analysis to process the data, adding gender, age and education of participants to the models in the first step, the level of sports participation and the origin of disability in the second, and the interaction between these two variables in the third. The results of the study showed that older participants reported statistically significantly lower personal growth, life meaning, interpersonal relationships, and life satisfaction. Men reported a statistically significantly greater sense of life, and highly educated disabled people reported a statistically significantly greater sense of autonomy. Given the interaction between the source of disability and the level of sports participation, these demographic variables have largely lost their predictive power for subjective well-being and anxiety as a personality trait. The interaction proved to be the most important and statistically significant predictor on all scales of subjective well-being (but not anxiety as a personality trait), except on the scale of personality growth. The findings of the hierarchical regression analysis show that the assumed models explain a very small but statistically significant proportion of variance (3 to 6%). The study of the relationship between the interaction of these two demographic variables with subjective well-being has not been found in any of the previous research, and the results thus open up a number of new questions for future research.
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