Assessment of Optimal Emotional Rangers of Athletes Living in Disaster Areas

Öz

Purpose: For this purpose, the research was designed in a quantitative research design, and descriptive and correlational survey models were used.

Method: The research population consists of athletes with sports licenses in different branches who experienced the earthquake disaster in Adıyaman province. The sample group consists of a total of 486 athletes who were actively licensed and lived in Adıyaman province during the February 6th earthquakes, including Football (158), Martial Arts (78), Volleyball (64), Basketball (41), Swimming (39), Archery (34), Fencing (28), Athletics (26), and Water Sports (18). The Depression, Anxiety, and Stress Scale (DASÖ-21), the Spielberger State-Trait Anxiety Inventory (STAI), and the Sports Anxiety Scale (SAS) were used as data collection tools in the study. In the analysis of the data, frequency and percentage distributions for the participants' personal characteristics, arithmetic means and standard deviations for the responses to the scales were calculated, and relationships between parameters were determined. The raw data obtained with the data collection tools were analyzed using SPSS version 26.

Results: The results showed that the total Spielberger State Anxiety Inventory score was 64.18, and the average scores for the 7 items in the depression subscale of the Depression, Anxiety, and Stress Scale were 19.34, 17.22, and 22.19, respectively. The average scores for athletes in the Sports Anxiety Scale were 14.18 in the somatic anxiety subscale, 17.34 in the worry subscale, and 5 items in the distractibility subscale. It was observed to be 16.61.

Conclusion: In conclusion, the findings indicate that athletes who have experienced a disaster demonstrate significant differences in their emotional characteristics conceptualized as optimal emotional rangesacross various variables. It is considered that these differences may be positively transformed through sport-based practices and structured interventions.

Anahtar Kelimeler

• Disaster area
• athlete
• emotional development
• optimal emotion

Afet Bölgesinde Yaşayan Sporcuların Optimal Duygu Aralıklarının Değerlendirilmesi

Öz

Amaç: Bu araştırma, afet bölgesinde yaşamına devam eden farklı spor branşlarına sahip sporcuların optimal duygu aralıklarının farklı değişkenlerce etkisinin incelenmesi amacıyla gerçekleştirilmiştir.

Yöntem: Bu amaçla araştırma nicel araştırma deseninde tasarlanmış olup, betimsel tarama modeli ve ilişkisel tarama modelinden faydalanılmıştır. Araştırma evrenini Adıyaman ilinde deprem afetini yaşayan farklı branşlarda sporcu lisansına sahip sporcular oluşturmaktadır. Örneklem grubunu ise 06 Şubat depremlerini Adıyaman ilinde yaşayan ve faal olarak lisanslı olan Futbol (158), Savunma Sporları (78), Voleybol (64), Basketbol (41), Yüzme (39), Okçuluk (34), Eskrim (28), Atletizm (26) ve Su Sporları (18) olmak üzere toplam 486 sporcu oluşturmaktadır. Araştırmada veri toplama aracı olarak “Depresyon, Anksiyete ve Stres Ölçeği (DASÖ-21) Spielberger Durumluk-Sürekli Kaygı Envanteri (STAI) ve Spor Kaygı ölçeği (SAS) kullanılmıştır. Verilerin analizinde, katılımcıların kişisel özelliklerine yönelik frekans ve yüzde dağılımları, ölçeklere verilen yanıtlara ilişkin aritmetik ortalama ve standart sapmalar hesaplanmış, ayrıca parametreler arası ilişkiler belirlenmiştir. Araştırmanın veri toplama araçları ile elde edilmiş olan ham veriler SPSS 26 versiyonu kullanılarak analiz edilmiştir.

Bulgular: Araştırma sonucunda Spielberger Durumluk Kaygı Envanteri toplam puanı 64,18, Depresyon anksiyete ve stres ölçeği depresyon alt boyutundaki 7 maddenin 19,34, Anksiyete alt boyutunda 7 madde 17,22 ve stres alt boyutunda 7 madde 22,19 puan ortalamasına sahip oldukları tespit edilmiştir. Sporcuların Spor Kaygı Ölçeği somatik kaygı alt boyutunda 14,18, endişe alt boyutunda 17,34, konsantrasyon dağınıklığı alt boyutunda ise 5 madde üzerinden 16,61 olduğu gözlenmiştir.

Sonuç: Araştırma sonucunda afet yaşayan sporcuların optimal duygu aralıkları olarak duygusal özelliklerinde farklı değişkenler açısından belirgin farklılıklar oluştuğu, bu oluşumun spor yoluyla gerçekleştirilen uygulamalar ile olumlu duruma dönüştürebileceği düşünülmektedir.

Anahtar Kelimeler

• Afet bölgesi
• sporcu
• duygusal gelişim
• optimal duygu

Kaynakça

1. Ada, E. N. D., Aşçı, F. H., Çetinkalp, F. Z. K., & Altıparmak, M. E. (2012). Evaluation of the Continuous Optimal Performance Mood-2 (SOPDD-2) Scale for Physical Education Class. Journal of Sports Sciences., 23(2), 43-49.
2. AFAD (2014). Ministry of Interior Disaster and Emergency Management Presidency, Annotated glossary of disaster management terms. [Çevrim-içi: https://www.afad.gov.tr/aciklamali-afet-yonetimi-terimleri-sozlugu], Erişim tarihi: 22.07.2025.
3. Akyol, A., Altıntaş, A., Sezer, G., & Aşçı, F. H. (2016). Construct validity and reliability of the Sport Anxiety Scale-2: confirmatory factor analysis. 14th International Sports Science Congress, 616.
4. Asakawa, K. (2004). Flow experience and autotelic personality in japanese college students: How do they experience challenges in daily life? Journal of Happiness Studies: An Interdisciplinary Forum on Subjective Well-Being, 5(2), 123–154.
5. Aydın, F. (2019). An examination of the effects of karate training on children's physical and physiological development and anger management. Master's Thesis, Trabzon University Graduate School, Trabzon.
6. Birsin-Yıldız, A., Gülşen, D. B. A., & Yılmaz, B. (2015). The effect of athletes' optimal performance emotional state on their life satisfaction. Journal of Physical Education and Sports Sciences., 9(9), 58-64.
7. Bozkurt, F. (2014). Redefining the basic concepts of emotion in dictionaries: A proposed method. Ankara University Faculty of Language and History-Geography, Journal of Turkology, 21(1), 25-34.
8. Burucu, S. (2019). The relationship between perceived autonomy support in physical education classes and motivation level and optimal performance emotional state. Master's Thesis, Marmara University Institute of Educational Sciences, Istanbul..

9. Carter, L., River, B., & Sachs, M. L. (2013). Flow in sport, exercise, and performance: A review with implications for future research. Journal of Multidisciplinary Research (1947-2900), 5(3), 17-31.
10. Csikszentmihalyi, M. (1975). Beyond boredom and anxiety. Jossey-Bass: San Francisco.
11. Değirmenci, Y., Kuzey, M., & Yetişensoy, O. (2019). Disaster awareness and education in social studies textbooks. e-Kafkas Journal of Educational Research, 6(2), 33-46.
12. Fırat, Y., Murathan, F., & Dalga, D. (2024), An Examination of the Relationship Between Psychological Needs and Disaster Attitudes of Athletes After a Disaster (Adıyaman Province Example). Journal of Physical Education and Sports Sciences., 18(3), 541-552.
13. Gallahue, D. L. (1982). Understanding motor development in children. John Wiley and Sons.
14. Gariepy, G., Danna, S., Gobiņa, I., Rasmussen, M., de Matos, M. G., Tynjälä, J., & Schnohr, C. (2020). How are adolescents sleeping? Adolescent sleep patterns and sociodemographic differences in 24 European and North American countries. Journal of adolescent Health, 66(6), S81-S88.
15. Gendron, M. (2010). Defining emotion: A brief history. Emotion Review, 2(4), 371-372.
16. Gould, D., Greenleaf, C., & Krane, V. (2002). Arousal–anxiety and sport behavior. In T. Horn (Ed.), Advances in sport psychology (2nd ed., pp. 207–241). Human Kinetics.
17. Hanton, S., Thomas, O., & Maynard, I. (2004). Competitive anxiety responses in the week leading up to competition: The role of intensity, direction and frequency dimensions. Psychology of Sport and Exercise, 5(2), 169–181.
18. Izard, C. E. (2009). Emotion theory and research: Highlights, unanswered questions, and emerging issues. Annual Review of Psychology, 60, 1-25. Jackson, S. A., & Eklund, R. C. (2002). Assessing flow in physical activity: The flow state scale-2 and dispositional flow scale-2. Journal of Sport & Exercise Psychology, 24(2), 133-150.
19. Jackson, S. A., Thomas, P. R., Marsh, H. W., & Smethurst, C. J. (2001). Relationships between flow, self-concept, psychological skills, and performance. Journal of Applied Sport Psychology, 13(2), 129-153.
20. Karabulut, M., Can, M., Sendesen, E., Özbaş Kes, Ö., & Özbal Batuk, M. (2024). Investigation of Quality of Life in Adult Cochlear Implant Users During the COVID-19 Pandemic: A Prospective Cross-Sectional Study. Turkish Clinics Health Sciences Journal/Turkish Clinics Health Sciences Journal, 9 (1).
21. Karancı, A. N., & İkizer, G. (2017). Disaster psychology: History, basic principles, and applications. Turkiye Klinikleri Psychology-Special Topics, 2(3), 163-171.
22. Karasar, N. (2011). Scientific research methods. Ankara: Nobel Publications.
23. Koçak, A., & Kayıklık, H. (2019). Religious feeling and religious emotions in the context of emotions. Çukurova University Faculty of Theology Journal (ÇÜİFD), 19(2), 685-713.
24. Lane, A., Thelwell, R., & Devonport, T. (2009). Emotional intelligence and mood states associated with optimal performance. E-journal of Applied Psychology, 5(1), 67-73.
25. Lei L, Huang X, Zhang S, Yang J, (2020), Comparison of Prevalence and Associated Factors of Anxiety and Depression Among People Affected by versus People Unaffected by Quarantine During the COVID-19 Epidemic in Southwestern China. Med Sci Monit, 26: e924609.
26. Lovibond, P. F., & Lovibond, S. H. (1995). The structure of negative emotional states: Comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories. Behaviour research and therapy, 33(3), 335-343.
27. Maclntyre, P.D. & Vincze, L. (2017). Positive and negative emotions underlie motivation for L2 learning. Studies in Second Language Learning and Teaching, 7(1), 61-88.
28. Moran, A. & Toner, J. (2018). Attentional processes in sport and performance. In Oxford Research Encyclopedia of Psychology. Oxford: Oxford University Press.
29. Murathan G., Aydın M., Murathan M., & Tekin A. (2022). Evaluation of Social-Emotional Learning Levels of University Student Athletes. Journal of Physical Education and Sports Sciences. 16(3), 278-289.
30. Nadler, R. T., Rabi, R., & Minda, J. P. (2010). Better mood and better performance: Learning rule-described categories is enhanced by positive mood. Psychological Science, 21(12), 1770-1776.
31. Öner, N., & Le Compte, A. (1983). State-Trait Anxiety Inventory Manual. Istanbul, Boğaziçi University Publication.
32. Pates, J., Oliver, R., & Maynard, I. (2001). Effects of hypnosis on flow states and golf-putting performance. Journal of Applied Sport Psychology, 13(4), 341-354.
33. Razon, S., & Sachs, M. (2017). Applied exercise psychology. Taylor & Francis.
34. Rodrigues, C.J., Martins, F.R., Gomes, P., Lemos, W.M. & Scoss, D.M. (2016). The importance of attention and concentration in sports scope. Fiep Bulletin, 86(72), 307-311.
35. Seleciler, C. (2019). Determining the levels of imagination and optimal performance emotional state of university students receiving folk dance training. Master's Thesis, Bartın University Institute of Educational Sciences, Bartın.
36. Silva LRB, Seguro CS, de Oliveira CGA, Santos POS, de Oliveira JCM, (2020), Physical Inactivity Is Associated With Increased Levels of Anxiety, Depression, and Stress in Brazilians During the COVID-19 Pandemic: A Cross-Sectional Study. Front. Psychiatry, 2020; 11:565291.
37. Spielberger, C. D., Gorsuch, R. L., & Lushene, R. E. (1970). Stai. Manual for the State-Trait Anxiety Inventory (Self Evaluation Questionnaire). Palo Alto California: Consulting Psychologist, 22(1), 1-24.
38. Stanton R, To QG, Khalesi S, Williams SL, Alley SJ,(2020), Depression, Anxiety and Stress during COVID-19: Associations with Changes in Physical Activity, Sleep, Tobacco and Alcohol Use in Australian Adults. Int. J. Environ. Res. Public Health,17: 4065.
39. Swann, C. (2016). Flow in sport. In Flow experience: Empirical research and applications (pp. 51-64). Cham: Springer International Publishing.
40. Tang, M., Liao, H., Wan, Z., Herrera-Viedma, E., & Rosen, M. A. (2018). Ten years of sustainability (2009 to 2018): A bibliometric overview. Sustainability, 10(5), 1655.
41. Yılmaz, Ö., Boz, H., & Arslan, A. (2017). Validity and reliability study of the Turkish short form of the Depression Anxiety Stress Scale (DASs 21). Journal of Finance, Economics and Social Research,2(2), 78-91.