The Impact of Participants’ Motivations for Engaging in Physical Activity on Their Reaction Time

Authors

  • Dindar S. Bari Scientific Research Center, University of Zakho, Zakho, Kurdistan Region; Department of Physics, University of Zakho, Zakho, Kurdistan Region
    Iraq
  • Peleen Najmaden Department of Physics, University of Duhok, Duhok, Kurdistan Region
    Iraq
  • Ahmed Mohammed Department of Physics, University of Duhok, Duhok, Kurdistan Region
    Iraq
  • Haval Y. Yacoob Aldosky Department of Physics, University of Duhok, Duhok, Kurdistan Region
    Iraq
  • Zilan Zirak Department of Physics, University of Duhok, Duhok, Kurdistan Region
    Iraq
  • Raniya Masoum Department of Physics, University of Duhok, Duhok, Kurdistan Region
    Iraq
  • Ali Rashid Department of Physics, University of Duhok, Duhok, Kurdistan Region
    Iraq

Abstract

Reaction time (RT) is a measure of the time elapsed between the application of a stimulus and the subsequent response. It is considered an indirect indicator of the central nervous system’s processing speed. Various factors, including body weight and physical activity, influence RT. Another factor that has not been investigated before is the effect of motivations for engaging in physical activity on motor reaction time, as measured by simple reaction time and recognition scores, indicated by the number of hits. Thus, the current study aimed to examine the impact of motivation in physical activity on RT and the number of hits. The study was conducted on 60 healthy volunteers aged 18–60 years (mean ± SD, 27.66 ± 8.31 years) who participated in regular physical activity. A headset for the virtual reality base station, controllers, and the Rezzil game were used to determine the RT. Additionally, the participants’ motives for engaging in physical activity were recorded using the Leisure Motivation Scale. It was found that the RT of participants was influenced by different leisure motivation categories, particularly for males. Body mass index (BMI) also affected the RT of participants, especially in the normal and overweight groups. However, the number of hits was not influenced by such motivations. These results showed that their motivations could influence the RT of individuals who participate in physical activity. Intrinsic motivations for physical activity, like personal enjoyment, reported slower RT than extrinsic motivations like ego or competition.

Keywords: BMI, gender, motivation, physical activity, reaction time

References

Audiffren, M., Tomporowski, P. D., & Zagrodnik, J. (2008). Acute aerobic exercise and information processing: Energizing motor processes during a choice reaction time task. Acta Psychologica, 129(3), 410–419. https://doi.org/10.1016/j.actpsy.2008.09.006 DOI: https://doi.org/10.1016/j.actpsy.2008.09.006

Azevedo, M. R., Araújo, C. L. P., Reichert, F. F., Siqueira, F. V., da Silva, M. C., & Hallal, P. C. (2007). Gender differences in leisure-time physical activity. International Journal of Public Health, 52, 8–15. https://doi.org/10.1007/s00038-006-5062-1 DOI: https://doi.org/10.1007/s00038-006-5062-1

Badau, D., Baydil, B., & Badau, A. (2018). Differences among three measures of reaction time based on hand laterality in individual sports. Sports, 6(2), 45. https://doi.org/10.3390/sports6020045 DOI: https://doi.org/10.3390/sports6020045

Ball, J. W., Bice, M. R., & Parry, T. (2014). Adults’ motivation for physical activity: Differentiating motives for exercise, sport, and recreation. Recreational Sports Journal, 38(2), 130–142. https://doi.org/10.1123/rsj.2014-0048 DOI: https://doi.org/10.1123/rsj.2014-0048

Bari, D. S., & Aldosky, H. Y. Y. (2022). Effect of types of stimuli, handedness and gender differences on reaction time among adults students during the COVID-19 pandemic. Biomedical Human Kinetics, 14(1), 95–101. https://doi.org/10.2478/bhk-2022-0012 DOI: https://doi.org/10.2478/bhk-2022-0012

Boroujeni, S. T., & Shahbazi, M. (2011). The effect of instructional and motivational self-talk on performance of basketball’s motor skill. Procedia-Social and Behavioral Sciences, 15, 3113–3117. https://doi.org/10.1016/j.sbspro.2011.04.255 DOI: https://doi.org/10.1016/j.sbspro.2011.04.255

Caspersen, C. J., Powell, K. E., & Christenson, G. M. (1985). Physical activity, exercise, and physical fitness: Definitions and distinctions for health-related research. Public Health Reports, 100(2), 126.

Caspersen, C. J., Pereira, M. A., & Curran K. M. (2000). Changes in physical activity patterns in the USA, by sex and cross-sectional age. Medicine and science in sports and exercise, 32(9), 1601–1609. https://doi.org/10.1097/00005768-200009000-00013 DOI: https://doi.org/10.1097/00005768-200009000-00013

Clark, C., Geffen, G., & Geffen, L. (1989). Catecholamines and the covert orientation of attention in humans. Neuropsychologia, 27(2), 131–139. https://doi.org/10.1016/0028-3932(89)90166-8 DOI: https://doi.org/10.1016/0028-3932(89)90166-8

Collardeau, M., Brisswalter, J., Vercruyssen, F., Audiffren, M., & Goubault, C. (2001). Single and choice reaction time during prolonged exercise in trained subjects: Influence of carbohydrate availability. European Journal of Applied Physiology, 86, 150–156. https://doi.org/10.1007/s004210100513 DOI: https://doi.org/10.1007/s004210100513

Deaner, R. O., Geary, D. C., Puts, D. A., Ham, S. A., Kruger, J., Fles, E., Winegard, B., & Grandis, T. (2012). A sex difference in the predisposition for physical competition: Males play sports much more than females even in the contemporary US. PLoS ONE, 7(11), e49168. https://doi.org/10.1371/journal.pone.0049168 DOI: https://doi.org/10.1371/journal.pone.0049168

Deore, D. N., Surwase, S. P., Masroor, S., Khan, S. T., & Kathore, V. (2012). A cross sectional study on the relationship between the body mass index (BMI) and the audiovisual reaction time (ART). Journal of Clinical and Diagnostic Research, 6(9), 1466. https://doi.org/10.7860/JCDR/2012/4440.2534 DOI: https://doi.org/10.7860/JCDR/2012/4440.2534

Eckner, J. T., Chandran, S., & Richardson, J. K. (2011). Investigating the role of feedback and motivation in clinical reaction time assessment. PM & R: The Journal of Injury, Function, and Rehabilitation, 3(12), 1092–1097. https://doi.org/10.1016/j.pmrj.2011.04.022 DOI: https://doi.org/10.1016/j.pmrj.2011.04.022

Egli, T., Bland, H. W., Melton, B. F., & Czech, D. R. (2011). Influence of age, sex, and race on college students’ exercise motivation of physical activity. Journal of American College Health, 59(5), 399–406. https://doi.org/10.1080/07448481.2010.513074 DOI: https://doi.org/10.1080/07448481.2010.513074

Etnier, J. L., Salazar, W., Landers, D. M., Petruzzello, S. J., Han, M., & Nowell, P. (1997). The influence of physical fitness and exercise upon cognitive functioning: A meta-analysis. Journal of Sport and Exercise Psychology, 19(3), 249–277. https://doi.org/10.1123/jsep.19.3.249 DOI: https://doi.org/10.1123/jsep.19.3.249

Gajewski, P. D., & Falkenstein, M. (2016). Physical activity and neurocognitive functioning in aging – A condensed updated review. European Review of Aging and Physical Activity, 13(1), 1–7. https://doi.org/10.1186/s11556-016-0161-3 DOI: https://doi.org/10.1186/s11556-016-0161-3

Gallagher, P., Yancy Jr, W. S., Swartout, K., Denissen, J. J., Kühnel, A., & Voils, C. I. (2012). Age and sex differences in prospective effects of health goals and motivations on daily leisure-time physical activity. Preventive Medicine, 55(4), 322–324. https://doi.org/10.1016/j.ypmed.2012.07.017 DOI: https://doi.org/10.1016/j.ypmed.2012.07.017

Gomez-Pinilla, F., & Hillman, C. (2013). The influence of exercise on cognitive abilities. Comprehensive Physiology, 3(1), 403. https://doi.org/10.1002/j.2040-4603.2013.tb00485.x DOI: https://doi.org/10.1002/j.2040-4603.2013.tb00485.x

Greenhouse, I., King, M., Noah, S., Maddock, R. J., & Ivry, R. B. (2017). Individual differences in resting corticospinal excitability are correlated with reaction time and GABA content in motor cortex. Journal of Neuroscience, 37(10), 2686–2696. https://doi.org/10.1523/JNEUROSCI.3129-16.2017 DOI: https://doi.org/10.1523/JNEUROSCI.3129-16.2017

Gregersen, J., Hatzigeorgiadis, A., Galanis, E., Comoutos, N., & Papaioannou, A. (2017). Countering the consequences of ego depletion: The effects of self-talk on selective attention. Journal of Sport and Exercise Psychology, 39(3), 161–171. https://doi.org/10.1123/jsep.2016-0265 DOI: https://doi.org/10.1123/jsep.2016-0265

Gunstad, J., Paul, R., Cohen, R., Tate, D., & Gordon, E. (2006). Obesity is associated with memory deficits in young and middle-aged adults. Eating and Weight Disorders-Studies on Anorexia, Bulimia and Obesity, 11, e15–e19. https://doi.org/10.1007/BF03327747 DOI: https://doi.org/10.1007/BF03327747

Haskell, W. L., Lee, I.-M., Pate, R. R., Powell, K. E., Blair, S. N., Franklin, B. A., Macera, C. A., Heath, G. W., Thompson, P. D., & Bauman, A. (2007). Physical activity and public health: Updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. Medicine and Science in Sports and Exercise, 39(8), 1423–1434. https://doi.org/10.1249/mss.0b013e3180616b27 DOI: https://doi.org/10.1249/mss.0b013e3180616b27

Jain, A., Bansal, R., Kumar, A., & Singh, K. (2015). A comparative study of visual and auditory reaction times on the basis of gender and physical activity levels of medical first year students. International Journal of Applied and Basic Medical Research, 5(2), 124–127. https://doi.org/10.4103/2229-516X.157168 DOI: https://doi.org/10.4103/2229-516X.157168

Jansen in de Wal, J., de Jong, B., Cornelissen, F., & de Brabander, C. (2023). Predicting transfer of training through the unified model of task-specific motivation. The Learning Organization, 30(6), 834–856. https://doi.org/10.1108/TLO-09-2022-0112 DOI: https://doi.org/10.1108/TLO-09-2022-0112

Jha, R. K., Thapa, S., Kasti, R., & Singh, S. (2021). Visual reaction time: How it relates to body mass index, dominant and non-dominant hand in healthy young females. Nepal Medical College Journal, 23(4), 347–351. https://doi.org/10.3126/NMCJ.V23I4.42248 DOI: https://doi.org/10.3126/nmcj.v23i4.42248

Kueh, Y. C., Kuan, G., & Morris, T. (2017). The Physical Activity and Leisure Motivation Scale: A confirmatory study of the Malay language version. International Journal of Sport and Exercise Psychology, 17(3), 250–265. https://doi.org/10.1080/1612197X.2017.1321029 DOI: https://doi.org/10.1080/1612197X.2017.1321029

Mandolesi, L., Polverino, A., Montuori, S., Foti, F., Ferraioli, G., Sorrentino, P., & Sorrentino, G. (2018). Effects of physical exercise on cognitive functioning and wellbeing: Biological and psychological benefits. Frontiers in Psychology, 509. https://doi.org/10.3389/fpsyg.2018.00509 DOI: https://doi.org/10.3389/fpsyg.2018.00509

Marmeleira, J. (2013). An examination of the mechanisms underlying the effects of physical activity on brain and cognition. European Review of Aging and Physical Activity, 10(2), 83–94. https://doi.org/10.1007/s11556-012-0105-5 DOI: https://doi.org/10.1007/s11556-012-0105-5

Matić, M., & Mrdaković, V. (2023). Relationship between reaction time and performance in the 60 m hurdles at the 2022 World Indoor Championships. Exercise and Quality of Life, 15(1), 11–18. https://doi.org/10.31382/eqol.230602 DOI: https://doi.org/10.31382/eqol.230602

Molanorouzi, K., Khoo, S., & Morris, T. (2014). Validating the physical activity and leisure motivation scale (PALMS). BMC Public Health, 14(1), 1–12. https://doi.org/10.1186/1471-2458-14-909 DOI: https://doi.org/10.1186/1471-2458-14-909

Morris, T., & Roychowdhury, D. (2020). Physical activity for health and wellbeing: The role of motives for participation. Health Psychology Report, 8(4), 391–407. https://doi.org/10.5114/hpr.2020.100111 DOI: https://doi.org/10.5114/hpr.2020.100111

Morris, T., Clayton, H., Power, H., & Han, J. (1995). Activity type differences in participation motives. Australian Journal of Psychology, 47, 101–102.

Nene, A. S., Pazare, P. A., & Sharma, K. D. (2011). A study of relation between body mass index and simple reaction time in healthy young females. Indian Journal of Physiology and Pharmacology, 55(3), 288–291.

Nikam, L. H., & Gadkari, J. V. (2012). Effect of age, gender and body mass index on visual and auditory reaction times in Indian population. Indian Journal of Physiology and Pharmacology, 56(1), 94–99.

Pérez-De la Cruz, S., Gonzalez-Gerez, J. J., Arellano de León, Ó., & Vargas Rodriguez, A. (2022). Spanish validation of the PALMS (Physical Activity and Leisure Motivation Scale). International Journal of Environmental Research and Public Health, 19(16), 10064. https://doi.org/10.3390/ijerph191610064 DOI: https://doi.org/10.3390/ijerph191610064

Péronnet, F., & Szabo, A. (1993). Sympathetic response to acute psychosocial stressors in humans: Linkage to physical exercise and training. In P. Seraganian (Ed.), Exercise psychology: The influence of physical exercise on psychological processes (pp. 172–217). Wiley.

Poels, M. M., Ikram, M. A., Vernooij, M. W., Krestin, G. P., Hofman, A., Messen, W. J., Van Der Lugt, A., & Breteler, M. M. (2008). Total cerebral blood flow in relation to cognitive function: The Rotterdam Scan Study. Journal of Cerebral Blood Flow & Metabolism, 28(10), 1652–1655. https://doi.org/10.1038/jcbfm.2008.62 DOI: https://doi.org/10.1038/jcbfm.2008.62

Reigal, R. E., Barrero, S., Martín, I., Morales-Sánchez, V., Juárez-Ruiz de Mier, R., & Hernández-Mendo, A. (2019). Relationships between reaction time, selective attention, physical activity, and physical fitness in children. Frontiers in Psychology, 10, 2278. https://doi.org/10.3389/fpsyg.2019.02278 DOI: https://doi.org/10.3389/fpsyg.2019.02278

Rhodes, R. E., McEwan, D., & Rebar, A. L. (2019). Theories of physical activity behaviour change: A history and synthesis of approaches. Psychology of Sport and Exercise, 42, 100–109. https://doi.org/10.1016/j.psychsport.2018.11.010 DOI: https://doi.org/10.1016/j.psychsport.2018.11.010

Rogers, H., Morris, T., & Moore, M. (2008). A qualitative study of the achievement goals of recreational exercise participants. The Qualitative Report, 13(4), 706–734. https://doi.org/10.46743/2160-3715/2008.1580 DOI: https://doi.org/10.46743/2160-3715/2008.1580

Roychowdhury, D. (2012). Examining reasons for participation in sport and exercise using the physical activity and leisure motivation scale (PALMS) [Doctoral dissertation, Victoria University]. VU Research Repository. https://vuir.vu.edu.au/id/eprint/19943

Roychowdhury, D. (2018). A comprehensive measure of participation motivation: Examining and validating the Physical Activity and Leisure Motivation Scale (PALMS). Journal of Human Sport & Exercise, 13(1), 1–17. http://doi.org/10.14198/jhse.2018.131.20 DOI: https://doi.org/10.14198/jhse.2018.131.20

Santos-Labrador, R. M., Melero-Ventola, A. R., Cortés-Rodríguez, M., Sánchez-Barba, M., Arroyo-Anlló, E. M. (2021). Validation of the Physical Activity and Leisure Motivation Scale in adolescent school children in Spain (PALMS-e). Sustainability, 13(14), 7714. https://doi.org/10.3390/su13147714 DOI: https://doi.org/10.3390/su13147714

Skurvydas, A., Gutnik, B., Zuoza, A., Nash, D., Zuoziene, I., & Mickeviciene, D. (2009). Relationship between simple reaction time and body mass index. Homo, 60(1), 77–85. https://doi.org/10.1016/j.jchb.2008.06.006 DOI: https://doi.org/10.1016/j.jchb.2008.06.006

Sudheer, C., Jagadeesan, S., & Kammar, K. F. (2017). Impact of BMI on visual reaction time in individuals with BMI in normal range. Chairman, Editorial Board, 5(2), 10. DOI: https://doi.org/10.5958/2320-608X.2017.00045.2

Tomporowski, P. D., & Ellis, N. R. (1986). Effects of exercise on cognitive processes: A review. Psychological Bulletin, 99(3), 338. https://doi.org/10.1037/0033-2909.99.3.338 DOI: https://doi.org/10.1037/0033-2909.99.3.338

van Lankveld, W., Linskens, F., & Stolwijk, N. (2021). Motivation for physical activity: Validation of the Dutch Version of the Physical Activity and Leisure Motivation Scale (PALMS). International Journal of Environmental Research and Public Health, 18(10), 5328. https://doi.org/10.3390/ijerph18105328 DOI: https://doi.org/10.3390/ijerph18105328

Walker, G. J. (2009). Culture, self-construal, and leisure motivations. Leisure Sciences, 31(4), 347–363. https://doi.org/10.1080/01490400902988291 DOI: https://doi.org/10.1080/01490400902988291

Yagi, Y., Coburn, K. L., Estes, K. M., & Arruda, J. E. (1999). Effects of aerobic exercise and gender on visual and auditory P300, reaction time, and accuracy. European Journal of Applied Physiology and Occupational Physiology, 80, 402–408. https://doi.org/10.1007/s004210050611 DOI: https://doi.org/10.1007/s004210050611

Zach, S., Bar-Eli, M., Morris, T., & Moore, M. (2012). Measuring motivation for physical activity: An exploratory study of PALMS-the physical activity and leisure motivation scale. Athletic Insight, 4(2), 141–152. DOI: https://doi.org/10.1037/t41588-000

Zarei, S., Memari, A. H., Moshayedi, P., Mosayebi, F., Mansournia, M. A., Khoo, S., & Morris, T. (2016). Psychometric properties of Physical Activity and Leisure Motivation Scale in Farsi: An international collaborative project on motivation for physical activity and leisure. Archives of Iranian Medicine, 19(10), 704–711.

Zhang, M., Jia, J., Yang, Y., Zhang, L., & Wang, X. (2023). Effects of exercise interventions on cognitive functions in healthy populations: A systematic review and meta-analysis. Ageing Research Reviews, 92, 102116. https://doi.org/10.1016/j.arr.2023.102116 DOI: https://doi.org/10.1016/j.arr.2023.102116

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2026-04-02

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Sports Physiology

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The Impact of Participants’ Motivations for Engaging in Physical Activity on Their Reaction Time . (2026). Baltic Journal of Sport and Health Sciences, 1(138), 41-52. https://doi.org/10.33607/bjshs.v1i138.1727