10-13 Yaş Çocuklarda Cinsiyet ve Yaş Tepki Sürelerinin İncelenmesi
Yıl 2025,
Cilt: 16 Sayı: 3, 407 - 417, 21.12.2025
Yasemin Bayraktar
,
Nurtekin Erkmen
,
Abdullah Arguz
,
Dede Basturk
,
Ramazan Göğebakan
Öz
Tepki süresini etkileyen birçok faktör vardır. Yaş ve cinsiyet yanıt süresini etkileyen faktörler arasındadır. Bu çalışma, yaş ve cinsiyeti tepki süresinde etkili faktörler olarak göz önünde bulundurarak 10-13 yaş arası kız ve erkek çocuklarda görsel tepki sürelerini araştırmaktadır. Yetmiş beş erkek (11.67 ± 1.04 yıl) ve 60 kız (11.45 ± 1.02 yıl) gönüllü olarak katıldı. Görsel tepki süreleri Light Trainer cihazı kullanılarak ölçüldü. Katılımcılara, kol uzunluğunda konumlandırılmış sensörlü ışıkları dokunmadan kapatmaları talimatı verildi. Veri analizi için Spss 27.0 paket programı kullanıldı. Yaş grubu karşılaştırmalarında anlamlı farklılıklar gözlendi: 10>12, 10>13, 11>13 ve 12>13 (p<0.05). Ancak, 10-11 ve 11-12 yaşları arasında anlamlı bir fark bulunmadı (p>0.05). Kızlar arasında 10>11, 10>13 ve 12>13 karşılaştırmalarında anlamlı düşüşler kaydedilirken (p<0.05), 10-12, 11-12 ve 11-13'te herhangi bir fark bulunmadı (p>0.05). Erkekler 10>12, 10>13, 11>12 ve 11>13 gruplarında anlamlı derecede daha düşük tepki süreleri gösterirken, 10-11 ve 12-13 arasında fark bulunmadı (p>0.05). Cinsiyetler karşılaştırıldığında, 10, 12 ve 13 yaşlarında anlamlı bir fark bulunmazken (p>0.05), 11 yaşındaki kızların yanıt süreleri daha düşüktü (p<0.05). Sonuç olarak, tepki sürelerinin yaşla birlikte genel olarak iyileştiği görüldü. Bu çalışmada on bir yaşındaki kızlar erkek akranlarına kıyasla daha üstün performans sergiledi.
Etik Beyan
Araştırma için Selçuk Üniversitesi Spor Bilimleri Fakültesi Klinik Araştırma Etik Kurulu'ndan 30.01.2024 tarihli ve 26 numaralı karar ile etik kurul izni alınmıştır.
Kaynakça
-
Alotaibi, M. F. (2019). Physiology of puberty in boys and girls and pathological disorders affecting its onset. J Adolesc, 71, 63–71. https://doi.org/10.1016/j.adolescence.2018.12.007
-
Arguz, A., Bayraktar, Y., Aslan, A. K., Kocaoglu, Y., & Erkmen, N. (2023). The effect of warming on visual response time in dominant and non-dominant lower and upper extremities. Turkish Journal of Sport and Exercise, 25(3), 348–356. https://doi.org/10.15314/tsed.1380623
-
Aslan, A. K., Cicioğlu, H. A., Kocaoğlu, Y., & Erkmen, N. (2023). The relationship between the preferred music type in 11-14 age group children and the hand eye response times. Ulus Kinesyol Derg, 4(1), 38–46. https://doi.org/10.5281/zenodo.8165069
-
Bayraktar, Y., & Arguz, A. (2024). The effect of kung fu training on response time in 7-9 aged children. Advances in Health and Exercise, 4(2), 162–167.
-
Blakemore, S. J., Burnett, S., & Dahl, R. E. (2010). The role of puberty in the developing adolescent brain. Hum Brain Mapp, 3, 31(6), 926–933. https://doi.org/10.1002/hbm.21052
-
Blakemore, S. J., & Choudhury, S. (2006). Development of the adolescent brain: implications for executive function and social cognition. Journal of Child Psychology and Psychiatry, 47, 296-312. https://doi.org/10.1111/j.1469-7610.2006.01611.x
-
Brychta, P., Hojka, V., Heller, J., Konarski, J. M., Coufalova, K., & Ruda, T. (2013). A comparison of response times of boys and girls aged 10-11 and 14-15 years. TRENDS in Sport Sciences, 3(20), 147–152.
-
Buchanan, C. M., Eccles, J. S., & Becker, J. B. (1992). Are adolescents the victims of raging hormones? Evidence for activational effects of hormones on moods and behavior at adolescence. Psychological Bulletin, 111(1), 62–107. https://doi.org/10.1037/0033-2909.111.1.62
-
Carretti, G., Bianco, R., Sgambati, E., Manetti, M., & Marini, M. (2023). Reactive agility and pitching performance improvement in visually impaired competitive italian baseball players: An innovative training and evaluation proposal. Int J Environ Res Public Health, 20, 6166. https://doi.org/10.3390/ijerph20126166
-
Casamento-Moran, A., Delmas, S., Park, S. H., Yacoubi, B., & Christou, E. A. (2019). Response to a visual stimulus: anticipation with steady and dynamic contractions. J Hum Kinet, 69, 17–27. https://doi.org/10.2478/hukin-2019-0025
-
Chao, L. L., & Knight, R. T. (1997). Prefrontal deficits in attention and inhibitory control with aging. Cereb. Cortex, 7(1), 63–69. https://doi.org/10.1093/cercor/7.1.63
-
Choudhurry, S., Blakemore, S. J., & Charman, T. (2006). Social cognitive development during adolescence. SCAN, 1, 165–74. https://doi.org/10.1093/scan/nsl024
-
Crone, E. A., & Dahl, R. E. (2012). Understanding adolescence as a period of social-affective engagement and goal flexibility. Nat. Rev. Neurosci., 13, 636–650. https://doi.org/10.1038/nrn3313
-
Dovalil, J., (2002). Vykon a trenink ve sportu. Praha: olympia, praha.
-
Dykiert, D., Der G., & Deary, I. (2012). Sex differences in response time mean and intraindividual variability Across the life span. Developmental Psychology, 48(5), 1262–76. https://doi.org/10.1037/a0027550
-
Giedd, J. N., Blumenthal, J., Jeffries, N. O., Castellanos, F. X., Liu, H., Zijdenbos, A., … et al. (1999). Brain development during childhood and adolescence: A longitudinal MRI study. Nat Neurosci, 2, 861–863. https://doi.org/10.1038/13158
-
Gogebakan, R., Bastürk, D., Arguz, A., Bayraktar, Y., Erkmen, N., & Say S. (2024). The effect of sports specific warm-up on lower and upper extremity visual response time in female athletes. Physical Education of Students, 28(5), 296–302. https://doi.org/10.15561/20755279.2024.0506
-
Gogtay, N., Giedd, J. N., Lusk, L., Hayashi, K. M., Greenstein, D., Vaituzis, C., … et al. (2004). Dynamic mapping of human cortical development during childhood through early adulthood. Proceedings of the National Academy of Science United States of America, 101, 8174–9. https://doi.org/10.1073/pnas.0402680101.
-
Hornikova, H., Dolezajova, L., Krasnanova, I., & Lednicky, A. (2019). Differences in response time and agility of 11-14-year-old schoolboys. JPES, 19(3), 1565–1569. https://doi.org/10.7752/jpes.2019.s4196
-
Karia, R. M., Ghuntla, T. P., Mehta, H. B., Gokhale, P. A., & Shah, C. J. (2012). Effect of gender difference on visual response time: A study on medical students of Bhavnagar region. IOSR PHR, 2, 452 4.
-
Lenroot, R. K., & Giedd, J. N. (2010). Sex differences in the adolescent brain. Brain Cogn, 72(1), 46-55. https://doi.org/10.1016/j.bandc.2009.10.008.
-
Nieuwenhuis, D., Pujol-Gualdo, N., Arnoldussen, I., & Kiliaan, A. (2020). Adipokines: a gear shift in puberty. Obesity Reviews, 21(6), 1-10. https://doi.org/10.1111/obr.13005
-
Ojeda, A. H., Tapia, P. L., Alvarez, J. P., Gonzalez-Cruz, C., Yeomans-Cabrera, M. M., & Vera J. C. (2022). Relationship between attention capacity and hand-eye response time in adolescents between 15 and 18 years of age. Int J Environ Res Public Health, 19(17), 10888. https://doi.org/10.3390/ijerph191710888
-
Posner, M. I., & Rothbart, M. K. (2007). Research on attention networks as a model for the integration of psychological science. Annu Rev Psychol, 58, 1–23. https://doi.org/10.1146/annurev.psych.58.110405.085516.
-
Reigal, R. E., Barrero, S., Martín, I., Morales-Sánchez, V., Juárez-Ruiz de Mier, R., & Hernández-Mendo, A. (2019). Relationships between response time, selective attention, physical activity, and physical fitness in children. Front Psychol, 10, 2278.
-
Sowell, E. R., Thompson, P. M., Tessner, K. D., & Toga, A. W. (2001). Mapping continued brain growth and gray matter density reduction in dorsal frontal cortex: Inverse relationships during postadolescent brain maturation. Journal of Neuroscience, 21(22), 8819–8829. https://doi.org/10.1523/JNEUROSCI.21-22-08819.2001
-
Susman, E. J., & Rogol, A. (2004). Puberty and psychological development. In R., M. Lemer & L. Steinherg (Eds.), Haridbook of udolescerrr psycholog? Hoboken, NJ: John Wiley & Sons, 15–44. https://doi.org/10.1002/9780471726746.ch2
-
Takeuchi, H., Taki, Y., Sassa, Y., Hashizume, H., Sekiguchi, A., & Fukushima, A. (2011). Working memory training using mental calculation impacts regional gray matter of the frontal and parietal regions, Plos One, 6(8). https://doi.org/10.1371/journal.pone.0023175
-
Taubert, M., Draganski, B., Anwander, A., Muller, K., Horstmann, A., Villringer, A., … et al. (2010). Dynamic properties of human brain structure: learning-related changes in cortical areas and associated fiber connections. J Neurosci, 30(35), 11670–11677. https://doi.org/10.1523/JNEUROSCI.2567-10.2010
-
Toga, A.W., Thompson, P. M., & Sowell, E. R. (2006). Mapping brain maturation. Trends in Neurosciences, 29, 148–59. https://doi.org/10.1016/j.tins.2006.01.007
-
Vaeyens, R., Lenoir, M., Williams, A. M., & Philippaherts, R. M. (2008). Talent identification and development programmes in sport: current models and future directions. Sports Med, 38(9), 703–14. https://doi.org/10.2165/00007256-200838090-00001.
-
Vattinen, T., Blomquist, M., Luhtanen, P., & Hakkinen, K. (2010). Effects of age and soccer expertise on general tests of perceptual and motor performance among adolescent soccer players. Percept Motor Skills, 110, 675–692.
-
Votík, J., & Zalabak, J. (2011). Fotbalovy trener. Grada Publishing
-
Wang, S., Zhou, M., Chen, T., Yang, X., Chen, G., & Wang, M. (2017). Examining gray matter structure associated with academic performance in a large sample of Chinese high school students. Sci Rep, 7(1), 893. https://doi.org/10.1038/s41598-017-00677-9
Response Times According to Gender and Age in 10-13 Aged Children
Yıl 2025,
Cilt: 16 Sayı: 3, 407 - 417, 21.12.2025
Yasemin Bayraktar
,
Nurtekin Erkmen
,
Abdullah Arguz
,
Dede Basturk
,
Ramazan Göğebakan
Öz
There are many factors affecting response time. Age and gender are among the factors affecting response time. This study investigates visual response times in boys and girls aged 10-13 years, considering age and gender as influential factors. Seventy-five boys (11.67 ± 1.04 years) and 60 girls (11.45 ± 1.02 years) participated voluntarily. Visual reaction times were measured using the Light Trainer device. Participants were instructed to switch off lights with sensors positioned at arm's length without touching them. Significant differences were observed in age group comparisons: 10<12, 10<13, 11<13 and 12<13 (p<0.05). However, no significant difference was found between the ages 10-11 and 11-12 (p>0.05). Among girls, significant decreases were recorded at 10<11, 10<13 and 12<13 (p<0.05), while no difference was found at 10-12, 11-12 and 11-13 (p>0.05). Males showed significantly lower reaction times in the 10<12, 10<13, 11<12 and 11<13 groups, while no difference was found between 10-11 and 12-13 (p>0.05). When the genders were compared, no significant difference was found between 10, 12 and 13 years old (p>0.05), while 11-year-old girls had lower response times (p<0.05). It was observed that visual response times improved with age. In this study, eleven-year-old girls showed superior performance compared to their peers.
Etik Beyan
Ethics committee permission was obtained for the research from the Selçuk University Faculty of Sports Sciences Non-Interventional Clinical Research Ethics Committee with the decision number 26 dated 30.01.2024
Kaynakça
-
Alotaibi, M. F. (2019). Physiology of puberty in boys and girls and pathological disorders affecting its onset. J Adolesc, 71, 63–71. https://doi.org/10.1016/j.adolescence.2018.12.007
-
Arguz, A., Bayraktar, Y., Aslan, A. K., Kocaoglu, Y., & Erkmen, N. (2023). The effect of warming on visual response time in dominant and non-dominant lower and upper extremities. Turkish Journal of Sport and Exercise, 25(3), 348–356. https://doi.org/10.15314/tsed.1380623
-
Aslan, A. K., Cicioğlu, H. A., Kocaoğlu, Y., & Erkmen, N. (2023). The relationship between the preferred music type in 11-14 age group children and the hand eye response times. Ulus Kinesyol Derg, 4(1), 38–46. https://doi.org/10.5281/zenodo.8165069
-
Bayraktar, Y., & Arguz, A. (2024). The effect of kung fu training on response time in 7-9 aged children. Advances in Health and Exercise, 4(2), 162–167.
-
Blakemore, S. J., Burnett, S., & Dahl, R. E. (2010). The role of puberty in the developing adolescent brain. Hum Brain Mapp, 3, 31(6), 926–933. https://doi.org/10.1002/hbm.21052
-
Blakemore, S. J., & Choudhury, S. (2006). Development of the adolescent brain: implications for executive function and social cognition. Journal of Child Psychology and Psychiatry, 47, 296-312. https://doi.org/10.1111/j.1469-7610.2006.01611.x
-
Brychta, P., Hojka, V., Heller, J., Konarski, J. M., Coufalova, K., & Ruda, T. (2013). A comparison of response times of boys and girls aged 10-11 and 14-15 years. TRENDS in Sport Sciences, 3(20), 147–152.
-
Buchanan, C. M., Eccles, J. S., & Becker, J. B. (1992). Are adolescents the victims of raging hormones? Evidence for activational effects of hormones on moods and behavior at adolescence. Psychological Bulletin, 111(1), 62–107. https://doi.org/10.1037/0033-2909.111.1.62
-
Carretti, G., Bianco, R., Sgambati, E., Manetti, M., & Marini, M. (2023). Reactive agility and pitching performance improvement in visually impaired competitive italian baseball players: An innovative training and evaluation proposal. Int J Environ Res Public Health, 20, 6166. https://doi.org/10.3390/ijerph20126166
-
Casamento-Moran, A., Delmas, S., Park, S. H., Yacoubi, B., & Christou, E. A. (2019). Response to a visual stimulus: anticipation with steady and dynamic contractions. J Hum Kinet, 69, 17–27. https://doi.org/10.2478/hukin-2019-0025
-
Chao, L. L., & Knight, R. T. (1997). Prefrontal deficits in attention and inhibitory control with aging. Cereb. Cortex, 7(1), 63–69. https://doi.org/10.1093/cercor/7.1.63
-
Choudhurry, S., Blakemore, S. J., & Charman, T. (2006). Social cognitive development during adolescence. SCAN, 1, 165–74. https://doi.org/10.1093/scan/nsl024
-
Crone, E. A., & Dahl, R. E. (2012). Understanding adolescence as a period of social-affective engagement and goal flexibility. Nat. Rev. Neurosci., 13, 636–650. https://doi.org/10.1038/nrn3313
-
Dovalil, J., (2002). Vykon a trenink ve sportu. Praha: olympia, praha.
-
Dykiert, D., Der G., & Deary, I. (2012). Sex differences in response time mean and intraindividual variability Across the life span. Developmental Psychology, 48(5), 1262–76. https://doi.org/10.1037/a0027550
-
Giedd, J. N., Blumenthal, J., Jeffries, N. O., Castellanos, F. X., Liu, H., Zijdenbos, A., … et al. (1999). Brain development during childhood and adolescence: A longitudinal MRI study. Nat Neurosci, 2, 861–863. https://doi.org/10.1038/13158
-
Gogebakan, R., Bastürk, D., Arguz, A., Bayraktar, Y., Erkmen, N., & Say S. (2024). The effect of sports specific warm-up on lower and upper extremity visual response time in female athletes. Physical Education of Students, 28(5), 296–302. https://doi.org/10.15561/20755279.2024.0506
-
Gogtay, N., Giedd, J. N., Lusk, L., Hayashi, K. M., Greenstein, D., Vaituzis, C., … et al. (2004). Dynamic mapping of human cortical development during childhood through early adulthood. Proceedings of the National Academy of Science United States of America, 101, 8174–9. https://doi.org/10.1073/pnas.0402680101.
-
Hornikova, H., Dolezajova, L., Krasnanova, I., & Lednicky, A. (2019). Differences in response time and agility of 11-14-year-old schoolboys. JPES, 19(3), 1565–1569. https://doi.org/10.7752/jpes.2019.s4196
-
Karia, R. M., Ghuntla, T. P., Mehta, H. B., Gokhale, P. A., & Shah, C. J. (2012). Effect of gender difference on visual response time: A study on medical students of Bhavnagar region. IOSR PHR, 2, 452 4.
-
Lenroot, R. K., & Giedd, J. N. (2010). Sex differences in the adolescent brain. Brain Cogn, 72(1), 46-55. https://doi.org/10.1016/j.bandc.2009.10.008.
-
Nieuwenhuis, D., Pujol-Gualdo, N., Arnoldussen, I., & Kiliaan, A. (2020). Adipokines: a gear shift in puberty. Obesity Reviews, 21(6), 1-10. https://doi.org/10.1111/obr.13005
-
Ojeda, A. H., Tapia, P. L., Alvarez, J. P., Gonzalez-Cruz, C., Yeomans-Cabrera, M. M., & Vera J. C. (2022). Relationship between attention capacity and hand-eye response time in adolescents between 15 and 18 years of age. Int J Environ Res Public Health, 19(17), 10888. https://doi.org/10.3390/ijerph191710888
-
Posner, M. I., & Rothbart, M. K. (2007). Research on attention networks as a model for the integration of psychological science. Annu Rev Psychol, 58, 1–23. https://doi.org/10.1146/annurev.psych.58.110405.085516.
-
Reigal, R. E., Barrero, S., Martín, I., Morales-Sánchez, V., Juárez-Ruiz de Mier, R., & Hernández-Mendo, A. (2019). Relationships between response time, selective attention, physical activity, and physical fitness in children. Front Psychol, 10, 2278.
-
Sowell, E. R., Thompson, P. M., Tessner, K. D., & Toga, A. W. (2001). Mapping continued brain growth and gray matter density reduction in dorsal frontal cortex: Inverse relationships during postadolescent brain maturation. Journal of Neuroscience, 21(22), 8819–8829. https://doi.org/10.1523/JNEUROSCI.21-22-08819.2001
-
Susman, E. J., & Rogol, A. (2004). Puberty and psychological development. In R., M. Lemer & L. Steinherg (Eds.), Haridbook of udolescerrr psycholog? Hoboken, NJ: John Wiley & Sons, 15–44. https://doi.org/10.1002/9780471726746.ch2
-
Takeuchi, H., Taki, Y., Sassa, Y., Hashizume, H., Sekiguchi, A., & Fukushima, A. (2011). Working memory training using mental calculation impacts regional gray matter of the frontal and parietal regions, Plos One, 6(8). https://doi.org/10.1371/journal.pone.0023175
-
Taubert, M., Draganski, B., Anwander, A., Muller, K., Horstmann, A., Villringer, A., … et al. (2010). Dynamic properties of human brain structure: learning-related changes in cortical areas and associated fiber connections. J Neurosci, 30(35), 11670–11677. https://doi.org/10.1523/JNEUROSCI.2567-10.2010
-
Toga, A.W., Thompson, P. M., & Sowell, E. R. (2006). Mapping brain maturation. Trends in Neurosciences, 29, 148–59. https://doi.org/10.1016/j.tins.2006.01.007
-
Vaeyens, R., Lenoir, M., Williams, A. M., & Philippaherts, R. M. (2008). Talent identification and development programmes in sport: current models and future directions. Sports Med, 38(9), 703–14. https://doi.org/10.2165/00007256-200838090-00001.
-
Vattinen, T., Blomquist, M., Luhtanen, P., & Hakkinen, K. (2010). Effects of age and soccer expertise on general tests of perceptual and motor performance among adolescent soccer players. Percept Motor Skills, 110, 675–692.
-
Votík, J., & Zalabak, J. (2011). Fotbalovy trener. Grada Publishing
-
Wang, S., Zhou, M., Chen, T., Yang, X., Chen, G., & Wang, M. (2017). Examining gray matter structure associated with academic performance in a large sample of Chinese high school students. Sci Rep, 7(1), 893. https://doi.org/10.1038/s41598-017-00677-9