Email this article The effect of physical activity, nutritional status and learning motivation on the physical fitness of public elementary school students 02 Senamat Bungo Regency
Damrah Damrah, Universitas Negeri Padang, Indonesia
Willadi Rasyid, Universitas Negeri Padang, Indonesia
Hendri Neldi, Universitas Negeri Padang, Indonesia
Abstract
The purpose of this study was to determine the effect of physical activity, nutritional status and learning motivation on students' physical fitness. This type of quantitative research, with the research design carried out with a Path Analysis approach. The sample in this study amounted to 50 students, data was collected using the PAQ-C questionnaire to measure students' physical activity, and using the Nusantara Student Physical Fitness Test (TKPN) to measure students' nutritional status and physical fitness, while to measure learning motivation using questionnaires. Research Results (1). that physical activity on physical fitness is 30.91%. (2). The effect of nutritional status on physical fitness is 12.25%. (3). The effect of learning motivation on physical fitness is 5.56%. (4). The effect of physical activity through learning motivation on physical fitness is 11.25%. (5). The effect of nutritional status through learning motivation on physical fitness is 8.89%. This means that hypotheses related to the indirect influence of nutritional status through learning motivation on physical fitness are acceptable. (6). Physical activity, nutritional status and learning motivation affect physical fitness. The similarity of pathways from various physical activity, nutritional status, and learning motivation to affect physical fitness (X1, X2 and X3 to Y) is 92%. This figure shows that the magnitude of the influence of physical activity variables, nutritional status and learning motivation has a significant effect on physical fitness. Physical activity, nutritional status, and learning motivation had a significant influence on students' physical fitness, and the complex interactions between the three had a strong impact in the context of this study
Keywords
Full Text:
PDFReferences
Anderson, L. M., Quinn, T. A., Glanz, K., Ramirez, G., Kahwati, L. C., Johnson, D. B., Buchanan, L. R., Archer, W. R., Chattopadhyay, S., Kalra, G. P., & Katz, D. L. (2009). The Effectiveness of Worksite Nutrition and Physical Activity Interventions for Controlling Employee Overweight and Obesity: A Systematic Review. American Journal of Preventive Medicine, 37(4), 340–357. https://doi.org/10.1016/j.amepre.2009.07.003
Arellano-Gómez, L. P., Chávez-Palencia, C., Ramos-García, C. O., Orozco-Hernández, R. P., Rodríguez-Preciado, S. I., Ochoa-González, H., Balderas-Arteaga, N., González-Rocha, A., & Denova-Gutiérrez, E. (2023). Participatory intervention to improve nutrition and physical activity of school-age children in Mexico. Contemporary Clinical Trials, 127, 107138. https://doi.org/10.1016/j.cct.2023.107138
Bafirman, B., Wahyuri, A. S., Vellya, V., Zarya, F., & Munir, A. (2023). Comparison of VO2Max Capacity and Lung Vital Capacity of Junior High School Students: Highlands and Lowlands. JOSSAE (Journal of Sport Science and Education), 8(1), 69–76. https://doi.org/10.26740/jossae.v8n1.p69-76
Bafirman, Munir, A., Zarya, F., & Nia, T. A. (2023). Comparison of Learning Methods Based on Animals Name and Conventional Learning to Improve Free Throw Shooting Skills in Basketball Games. International Journal of Human Movement and Sports Sciences, 11(5), 1150–1157. https://doi.org/10.13189/saj.2023.110524
Braithwaite, R., Spray, C. M., & Warburton, V. E. (2011). Motivational climate interventions in physical education: A meta-analysis. Psychology of Sport and Exercise, 12(6), 628–638. https://doi.org/10.1016/j.psychsport.2011.06.005
Carraça, E. V, Leong, S. L., & Horwath, C. C. (2019). Weight-Focused Physical Activity Is Associated with Poorer Eating Motivation Quality and Lower Intuitive Eating in Women. Journal of the Academy of Nutrition and Dietetics, 119(5), 750–759. https://doi.org/10.1016/j.jand.2018.09.011
Chakraborty, D., Singu, H. B., & Patre, S. (2022). Fitness Apps’s purchase behaviour: Amalgamation of Stimulus-Organism-Behaviour-Consequence framework (S–O–B–C) and the innovation resistance theory (IRT). Journal of Retailing and Consumer Services, 67, 103033. https://doi.org/10.1016/j.jretconser.2022.103033
Chen, S., Sun, H., Zhu, X., Chen, A., & Ennis (Posthumous), C. D. (2021). Learners’ motivational response to the Science, PE, & Me! curriculum: A situational interest perspective. Journal of Sport and Health Science, 10(2), 243–251. https://doi.org/10.1016/j.jshs.2019.11.001
Clemente-Suárez, V. J., Beltrán-Velasco, A. I., Ramos-Campo, D. J., Mielgo-Ayuso, J., Nikolaidis, P. A., Belando, N., & Tornero-Aguilera, J. F. (2022). Physical activity and COVID-19. The basis for an efficient intervention in times of COVID-19 pandemic. Physiology & Behavior, 244, 113667. https://doi.org/10.1016/j.physbeh.2021.113667
de Moraes Lopes, M. H. B., Ferreira, D. D., Ferreira, A. C. B. H., da Silva, G. R., Caetano, A. S., & Braz, V. N. (2020). Chapter 20 - Use of artificial intelligence in precision nutrition and fitness. In D. Barh (Ed.), Artificial Intelligence in Precision Health (pp. 465–496). Academic Press. https://doi.org/10.1016/B978-0-12-817133-2.00020-3
Demetriou, Y., Sudeck, G., Thiel, A., & Höner, O. (2015). The effects of school-based physical activity interventions on students’ health-related fitness knowledge: A systematic review. Educational Research Review, 16, 19–40. https://doi.org/10.1016/j.edurev.2015.07.002
Diamant, É., Perez, T., & Drouin, O. (2023). Nudging interventions to improve children’s sleep, physical activity and sedentary behavior: A scoping review. Preventive Medicine, 173, 107572. https://doi.org/10.1016/j.ypmed.2023.107572
Eather, N., Morgan, P. J., & Lubans, D. R. (2013). Improving the fitness and physical activity levels of primary school children: Results of the Fit-4-Fun group randomized controlled trial. Preventive Medicine, 56(1), 12–19. https://doi.org/10.1016/j.ypmed.2012.10.019
Edna Mayela, D. L. V.-C., Miriam, L.-T., Ana Isabel, G.-G., Oscar, R.-C., & Alejandra, C.-A. (2023). Effectiveness of an online multicomponent physical exercise intervention on the physical performance of community-dwelling older adults: A randomized controlled trial. Geriatric Nursing, 54, 83–93. https://doi.org/10.1016/j.gerinurse.2023.08.018
Farrokhi, A., Farahbakhsh, R., Rezazadeh, J., & Minerva, R. (2021). Application of Internet of Things and artificial intelligence for smart fitness: A survey. Computer Networks, 189, 107859. https://doi.org/10.1016/j.comnet.2021.107859
Freshwater, M., Christensen, S., Oshman, L., & Bays, H. E. (2022). Behavior, motivational interviewing, eating disorders, and obesity management technologies: An Obesity Medicine Association (OMA) Clinical Practice Statement (CPS) 2022. Obesity Pillars, 2, 100014. https://doi.org/10.1016/j.obpill.2022.100014
Gomes, E., Bastos, T., Probst, M., Ribeiro, J. C., Silva, G., & Corredeira, R. (2014). Effects of a group physical activity program on physical fitness and quality of life in individuals with schizophrenia. Mental Health and Physical Activity, 7(3), 155–162. https://doi.org/10.1016/j.mhpa.2014.07.002
Han, H. (2023). Fuzzy clustering algorithm for university students’ psychological fitness and performance detection. Heliyon, 9(8), e18550. https://doi.org/10.1016/j.heliyon.2023.e18550
Hjorth, M. F., Sørensen, L. B., Andersen, R., Dyssegaard, C. B., Ritz, C., Tetens, I., Michaelsen, K. F., Astrup, A., Egelund, N., & Sjödin, A. (2016). Normal weight children have higher cognitive performance – Independent of physical activity, sleep, and diet. Physiology & Behavior, 165, 398–404. https://doi.org/10.1016/j.physbeh.2016.08.021
Hosker, D. K., Elkins, R. M., & Potter, M. P. (2019). Promoting Mental Health and Wellness in Youth Through Physical Activity, Nutrition, and Sleep. Child and Adolescent Psychiatric Clinics of North America, 28(2), 171–193. https://doi.org/10.1016/j.chc.2018.11.010
Jurić, P., Dudley, D. A., & Petocz, P. (2023). Does incorporating high intensity interval training in physical education classes improve fitness outcomes of students? A cluster randomized controlled trial. Preventive Medicine Reports, 32, 102127. https://doi.org/10.1016/j.pmedr.2023.102127
Ketcheson, L. R., & Pitchford, E. A. (2021). Promoting physical activity participation and nutrition education through a telehealth intervention for children on the autism spectrum and their caregivers. Contemporary Clinical Trials, 107, 106496. https://doi.org/10.1016/j.cct.2021.106496
Laukkanen, A., Niemistö, D., Aunola, K., Barnett, L. M., & Sääkslahti, A. (2023). Child perceived motor competence as a moderator between physical activity parenting and child objectively measured physical activity. Psychology of Sport and Exercise, 67, 102444. https://doi.org/10.1016/j.psychsport.2023.102444
McGowan, A. L., Chandler, M. C., & Pontifex, M. B. (2021). Aerobic fitness relates to superior exact and approximate arithmetic processing in college-aged adults. Trends in Neuroscience and Education, 23, 100154. https://doi.org/10.1016/j.tine.2021.100154
Nugroho, W. (2022). Motivasi dan aktifitas olahraga pada masa new normal pandemi covid-19. Jorpres (Jurnal Olahraga Prestasi), 18(1), 44–51. https://doi.org/10.21831/jorpres.v18i1.55656
Oc, Y., & Plangger, K. (2022). GIST do it! How motivational mechanisms help wearable users develop healthy habits. Computers in Human Behavior, 128, 107089. https://doi.org/10.1016/j.chb.2021.107089
op den Akker, H., Cabrita, M., op den Akker, R., Jones, V. M., & Hermens, H. J. (2015). Tailored motivational message generation: A model and practical framework for real-time physical activity coaching. Journal of Biomedical Informatics, 55, 104–115. https://doi.org/10.1016/j.jbi.2015.03.005
Palmer, K., Robbins, L. B., Ling, J., Kao, T.-S. A., Voskuil, V. R., & Smith, A. L. (2020). Adolescent Autonomous Motivation for Physical Activity: A Concept Analysis. Journal of Pediatric Nursing, 54, e36–e46. https://doi.org/10.1016/j.pedn.2020.04.020
Plotnikoff, R. C., Wilczynska, M., Cohen, K. E., Smith, J. J., & Lubans, D. R. (2017). Integrating smartphone technology, social support and the outdoor physical environment to improve fitness among adults at risk of, or diagnosed with, Type 2 Diabetes: Findings from the ‘eCoFit’ randomized controlled trial. Preventive Medicine, 105, 404–411. https://doi.org/10.1016/j.ypmed.2017.08.027
Ryom, K., Simonsen, C. B., Rau, S. R., Maindal, H. T., & Agergaard, S. (2022). Newly arrived refugees’ perception of health and physical activity in Denmark. Journal of Migration and Health, 6, 100111. https://doi.org/10.1016/j.jmh.2022.100111
Sania, A., Arsil, A., Argantos, A., Rifki, M. S., & Zarya, F. (2022). Pengaruh metode pembelajaran dan motivasi belajar terhadap keterampilan dasar bolavoli mini di SDN 09 Lanai Sinuangon. Jorpres (Jurnal Olahraga Prestasi), 18(2), 30–43. https://doi.org/10.21831/jorpres.v18i2.57303
Scott, S. P., De Souza, M. J., Koehler, K., & Murray-Kolb, L. E. (2017). Combined Iron Deficiency and Low Aerobic Fitness Doubly Burden Academic Performance among Women Attending University1. The Journal of Nutrition, 147(1), 104–109. https://doi.org/10.3945/jn.116.240192
Sherf-Dagan, S., Sinai, T., Goldenshluger, A., Globus, I., Kessler, Y., Schweiger, C., & Ben-Porat, T. (2021). Nutritional Assessment and Preparation for Adult Bariatric Surgery Candidates: Clinical Practice. Advances in Nutrition, 12(3), 1020–1031. https://doi.org/10.1093/advances/nmaa121
Smith, J. J., Beauchamp, M. R., Faulkner, G., Morgan, P. J., Kennedy, S. G., & Lubans, D. R. (2018). Intervention effects and mediators of well-being in a school-based physical activity program for adolescents: The ‘Resistance Training for Teens’ cluster RCT. Mental Health and Physical Activity, 15, 88–94. https://doi.org/10.1016/j.mhpa.2018.08.002
Szeszulski, J., Vega-López, S., Todd, M., Ray, F., Behar, A., Campbell, M., Chavez, A., Eckert, R., Lorenzo-Quintero, A., Hartmann Manrique, L., & Crespo, N. C. (2020). Athletes for life: Rationale and methodology of a community- and family-based randomized controlled trial to promote cardiovascular fitness among primarily Latino families. Contemporary Clinical Trials, 91, 105956. https://doi.org/10.1016/j.cct.2020.105956
Uebelacker, L. A., Epstein-Lubow, G., Sillice, M. A., O’Keeffe, B., Kraines, M., Battle, C. L., Anderson, B., Miller, I. W., & Abrantes, A. M. (2023). Project MOVE: A randomized controlled trial of interventions for initiating and maintaining physical activity in depressed individuals. Mental Health and Physical Activity, 24, 100508. https://doi.org/10.1016/j.mhpa.2023.100508
Uebelacker, L. A., Sillice, M. A., Epstein-Lubow, G., Battle, C. L., Anderson, B., Caviness, C., Miller, I. W., & Abrantes, A. M. (2020). Combined intervention approaches for initiating and maintaining physical activity in depressed individuals: design and rationale of the Project MOVE randomized clinical trial. Contemporary Clinical Trials, 91, 105974. https://doi.org/10.1016/j.cct.2020.105974
Vandelanotte, C., Trost, S., Hodgetts, D., Imam, T., Rashid, M., To, Q. G., & Maher, C. (2023). Increasing physical activity using an just-in-time adaptive digital assistant supported by machine learning: A novel approach for hyper-personalised mHealth interventions. Journal of Biomedical Informatics, 144, 104435. https://doi.org/10.1016/j.jbi.2023.104435
Vella, S. A., Sutcliffe, J. T., Fernandez, D., Liddelow, C., Aidman, E., Teychenne, M., Smith, J. J., Swann, C., Rosenbaum, S., White, R. L., & Lubans, D. R. (2023). Context matters: A review of reviews examining the effects of contextual factors in physical activity interventions on mental health and wellbeing. Mental Health and Physical Activity, 25, 100520. https://doi.org/10.1016/j.mhpa.2023.100520
Venkatachalam, P., & Ray, S. (2022). How do context-aware artificial intelligence algorithms used in fitness recommender systems? A literature review and research agenda. International Journal of Information Management Data Insights, 2(2), 100139. https://doi.org/10.1016/j.jjimei.2022.100139
Wieland, M. L., Weis, J. A., Hanza, M. M. K., Meiers, S. J., Patten, C. A., Clark, M. M., Sloan, J. A., Novotny, P. J., Njeru, J. W., Abbenyi, A., Levine, J. A., Goodson, M., Porraz Capetillo, M. G. D., Osman, A., Hared, A., Nigon, J. A., & Sia, I. G. (2016). Healthy immigrant families: Participatory development and baseline characteristics of a community-based physical activity and nutrition intervention. Contemporary Clinical Trials, 47, 22–31. https://doi.org/10.1016/j.cct.2015.12.004
Wilson, M., Ramsay, S., & Young, K. J. (2017). Engaging Overweight Adolescents in a Health and Fitness Program Using Wearable Activity Trackers. Journal of Pediatric Health Care, 31(4), e25–e34. https://doi.org/10.1016/j.pedhc.2017.03.001
Wilson, O. W. A., Ikeda, E., Hinckson, E., Mandic, S., Richards, J., Duncan, S., Kira, G., Maddison, R., Meredith-Jones, K., Chisholm, L., Williams, L., & Smith, M. (2023). Results from Aotearoa New Zealand’s 2022 Report Card on Physical Activity for Children and Youth: A call to address inequities in health-promoting activities. Journal of Exercise Science & Fitness, 21(1), 58–66. https://doi.org/10.1016/j.jesf.2022.10.009
DOI: https://doi.org/10.21831/jorpres.v19i2.67276
Refbacks
- There are currently no refbacks.
Copyright (c) 2023 Jorpres (Jurnal Olahraga Prestasi)
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
