Abstract

ObjectiveThis study aimed to predict mental well-being and general health based on perceived stress and body image with mediating the role of self-compassion in women athletes in Tehran.MethodsThis descriptive correlational study was performed using structural equations. The statistical population included all female athletes who referred to sports clubs in Tehran. In this study, 250 women were selected by the convenience sampling method. Participants responded to questionnaire forms specified for measuring mental well-being, general health, self-compassion, body image, and perceived stress scale using a website link. The obtained data were analyzed by descriptive analysis, Pearson correlation, and path analysis using SPSS and PLS software statistical packages.ResultsIn general, path analysis showed that self-compassion could not mediate the path between perceived stress and mental well-being. However, it mediated the path of body image to well-being. Besides, self-compassion did not mediate the perceived ester pathway to public health and body image to public health.ConclusionAccording to the results, it is concluded that strategies reducing self-compassion are able to provide a better body image and increase the mental well-being of women athletes.

Highlights

  • The statistical population of the present study consisted of all female athletes who referred to sports clubs in Tehran

  • There was a negative and significant correlation between perceived stress with mental well-being as well as general health and body image. There was such a relationship between body image with self-compassion and mental wellbeing with self-compassion (p 0.05)

  • It should be noted that the association between general health and compassion was not statistically significant (p > 0.05)

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Summary

Original article

Perceived Stress Mental Well-being Body Image Women Athletes General Health Self-compassion

Introduction
Method Participants
PhD year number
Standard deviation
General health
General wellcompassion health being
Indirect path
Intelligence Students and Students in Technical

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