Determination of the Relationship Between Personality Traits and Burnout Levels of Athletes from Different Branches

  • Yazar Cüneyt Seydioğlu
  • Tür Makale
  • Yayın Yılı 2023
  • Veritabanları Scopus
  • DOI 10.33438/ijdshs.1357639
  • Yayıncı Nevzat Demirci
  • Dergi International Journal of Disabilities Sports and Health Sciences 6, pp.290 - 296
  • Tek Biçim Adres https://hdl.handle.net/20.500.14081/2005
  • Konu Başlıkları Athlete
    Burnout
    Personality

This study aimed to reveal the relationship between the personality traits and burnout levels of athletes from different branches. The study was conducted with the relational research model among the quantitative research methods. The study group included 305 athletes consisting of 46 wrestlers, 91 boxers, 25 runners, 89 weightlifters, and 54 football players. The data were analyzed through SPSS 20 package software. The data analysis used descriptive statistical analysis and Pearson correlation analysis to determine the direction and severity of the relationship between the variables. As a result of the descriptive statistical analysis, it was determined that the boxers scored higher in the reduced sense of accomplishment, emotional and physical exhaustion, and depersonalization dimensions. It was concluded that athletes in the athletics branch had higher scores in the extrovert and neuroticism dimensions, and athletes in the weightlifting branch had higher scores in the psychoticism dimensions. According to the correlation analysis, it was found that there was no statistically significant relationship between the personality traits and burnout levels of athletes. © The Author(s) 2023.

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Eser Adı
(dc.title)
Determination of the Relationship Between Personality Traits and Burnout Levels of Athletes from Different Branches
Yazar
(dc.contributor.author)
Cüneyt Seydioğlu
Yayın Yılı
(dc.date.issued)
2023
Tür
(dc.type)
Makale
Özet
(dc.description.abstract)
This study aimed to reveal the relationship between the personality traits and burnout levels of athletes from different branches. The study was conducted with the relational research model among the quantitative research methods. The study group included 305 athletes consisting of 46 wrestlers, 91 boxers, 25 runners, 89 weightlifters, and 54 football players. The data were analyzed through SPSS 20 package software. The data analysis used descriptive statistical analysis and Pearson correlation analysis to determine the direction and severity of the relationship between the variables. As a result of the descriptive statistical analysis, it was determined that the boxers scored higher in the reduced sense of accomplishment, emotional and physical exhaustion, and depersonalization dimensions. It was concluded that athletes in the athletics branch had higher scores in the extrovert and neuroticism dimensions, and athletes in the weightlifting branch had higher scores in the psychoticism dimensions. According to the correlation analysis, it was found that there was no statistically significant relationship between the personality traits and burnout levels of athletes. © The Author(s) 2023.
Açık Erişim Tarihi
(dc.date.available)
2023-10-26
Yayıncı
(dc.publisher)
Nevzat Demirci
Dil
(dc.language.iso)
En
Konu Başlıkları
(dc.subject)
Athlete
Konu Başlıkları
(dc.subject)
Burnout
Konu Başlıkları
(dc.subject)
Personality
Tek Biçim Adres
(dc.identifier.uri)
https://hdl.handle.net/20.500.14081/2005
ISSN
(dc.identifier.issn)
26459094
Dergi
(dc.relation.journal)
International Journal of Disabilities Sports and Health Sciences
Esere Katkı Sağlayan
(dc.contributor.other)
Seydioglu, Cüneyt
Esere Katkı Sağlayan
(dc.contributor.other)
Yagci, Ihsan
Esere Katkı Sağlayan
(dc.contributor.other)
Çimen, Kubilay
Esere Katkı Sağlayan
(dc.contributor.other)
Tazegül, Ünsal
DOI
(dc.identifier.doi)
10.33438/ijdshs.1357639
Orcid
(dc.identifier.orcid)
000-0002-4595-0574
Bitiş Sayfası
(dc.identifier.endpage)
296
Başlangıç Sayfası
(dc.identifier.startpage)
290
Dergi Cilt
(dc.identifier.volume)
6
Department
(dc.contributor.department)
Spor yöneticiği
Veritabanları
(dc.source.platform)
Scopus
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