University Students Sport’s Activities Assessment in Harsh Weather Conditions
This paper addresses the application of physiological status monitoring (PSM) for assessing the impact of harsh weather conditions on sports activities in universities in Saudi Arabia. Real sports measurement was conducted during sports activities such that the physiological status (HR and BR) of five students were continuously monitored by using Zephyr BioHarnessTM 3.0 sensors in order to identify the physiological bonds and zones. These bonds and zones were employed as indicators of the associated physiological risks of the performed sports activities. Furthermore, a short yes/no questionnaire was applied to collect information on participants’ health conditions and opinions of the applied PSM sensors. The results show the absence of a warning system as a protective aid for the hazardous levels of extremely hot and humid weather conditions that may cause dangerous and fatal circumstances. The applied formulas for estimating maximum HR provides accurate estimations for Maximum Heart Rate (HRmax). The physiological results reveal that the performed activities by the participants are considered the highest category (90–100%) in terms of activity intensity. This category is associated with higher HR, BR and physiological risks including losing the ability to control human body behaviors. Therefore, there is a need for immediate intervention actions to reduce the intensity of the performed activities to safer zones. The outcomes of this study assist the safety improvement of sports activities inside universities and athletes performing their sports activities. To the best of our knowledge, this is the first paper to represent a special case of the application of PSM technology for assessing sports activities in universities considering the impacts of harsh weather conditions on students’ health and safety.
[1] Atrash, A., Mower, E., Shams, K., & Mataric, M. J. (2011). Recognition of Physiological Data for a Motivational Agent. AAAI Spring Symposium: Computational Physiology. Stanford, CA.
[2] Bates, G. P., & Schneider, J. (2008). Hydration status and physiological workload of UAE construction workers: A prospective longitudinal observational study. J Occup Med Toxicol, 3(21), 4-5.
[3] Bates, G. P., Miller, V. S., & Joubert, D. M. (2009). Hydration status of expatriate manual workers during summer in the Middle East. Annals of occupational hygiene, 54(2), 137–143.
[4] Beautiful Weather Graphs and Maps – Weather Spark. (2015). Retrieved August 12, 2015, from Weatherspark.com: https://weatherspark.com
[5] Campbell, S. (2012). Supporting mandatory first aid training in primary schools. Nursing Standard, 27(6), 35-39.
[6] Chau, N., Predine, R., Benamghar, L., Michaely, J. P., Choquet, M., & Predine, E. (2008). Determinants of school injury proneness in adolescents: a prospective study. Public health, 122(8), 801-808.
[7] Cichero, J. A., & Murdoch, B. E. (2006). "Dysphagia: foundation, theory and practice". West Sussex, England: John Wiley & Sons.
[8] Clapp, J. D., Johnson, M., Voas, R. B., Lange, J. E., Shillington, A., & Russell, C. (2005). Reducing DUI among US college students: Results of an environmental prevention trial. Addiction, 100(3), 327-334.
[9] Crowe, J. W. (1995). Safety values and safe practices among college students. Journal of Safety Research, 26(3), 187-195.
[10] Denny, S., Farrant, B., Cosgriff, J., Harte, M., Cameron, T., Johnson, R., & Ameratunga, S. (2013). Forgone health care among secondary school students in New Zealand. Journal of primary health care, 5(1), 11-18.
[11] Fennell, R. (1997). Health behaviors of students attending historically black colleges and universities: results from the National College Health Risk Behavior Survey. Journal of American College Health, 46(3), 109-117.
[12] Gatti, U. C., Migliaccio, G. C., & Schneider, S. (2011). Wearable physiological status monitors for measuring and evaluating worker’s physical strain: preliminary validation. International Workshop on Computing in Civil Engineering 2011, (pp. 194-201). Miami, Florida, United States.
[13] Gatti, U. C., Migliaccio, G. C., Bogus, S. M., & Schneider, S. (2014a). An exploratory study of the relationship between construction workforce physical strain and task level productivity. Construction Management and Economics, 32(6), 548-564.
[14] Gatti, U., Migliaccio, G., Bogus, S., & Schneider, S. (2012a). Using Wearable Physiological Status Monitors for Analyzing the Physical Strain-Productivity Relationship for Construction Tasks. International Conference on Computing in Civil Engineering 2012, (pp. 577-585). Clearwater Beach, Florida, United States.
[15] Grubbs, F. E., & Beck, G. (1972). "Extension of sample sizes and percentage points for significance tests of outlying observations". Technometrics, 14(4), 847-854.
[16] Herrmann, M. A., & Rockoff, J. E. (2012). Does menstruation explain gender gaps in work absenteeism? Journal of Human Resources, 47(2), 493-508.
[17] Joubert, D., Thomsen, J., & Harrison, O. (2011). Safety in the heat: A comprehensive program for prevention of heat illness among workers in Abu Dhabi, United Arab Emirates. American journal of public health, 101(3), 395-398.
[18] Kann, L., Brener, N. D., & Allensworth, D. D. (2001). Health education: Results from the school health policies and programs study 2000. Journal of School Health, 71(7), 266-278.
[19] Karvonen, M. J. (1957). "The effects of training on heart rate. A longitudinal study". Ann Ned Exp Biol Fenn, 35, 307-315.
[20] Kokonozi, A., Astaras, A., Semertzidis, P., Michail, E., Filos, D., Chouvarda, I., Grossenbacher, O., Koller, J.-M., Leopoldo, R., Porchet, J.-A., Correvon, M., Luprano, J., Sipila, A., Zamboulis, C., & Maglaveras, N. (2010). Development and clinical evaluation of a physiological data acquisition device for monitoring and exercise guidance of heart failure and chronic heart disease patients. Computing in Cardiology, IEEE, (pp. 1099-1102). Belfast.
[21] Lee, W., & Migliaccio, G. C. (2014). Field Use of Physiological Status Monitoring (PSM) to Identify Construction Workers’ Physiologically Acceptable Bounds and Heart Rate Zones. In Computing in Civil and Building Engineering, 1037-1044.
[22] Lee, W., Migliaccio, G. C., Lin, K. Y., & Russo, F. (2015). Lessons learned from using bio-and environmental sensing in construction: A field implementation. 5th International/11th Construction Specialty Conference. Vancouver, British Columbia.
[23] Lerer, S. J., Tieniber, E. B., & Smith, J. M. (2009-2010). Building a wireless ice hockey personnel management system. Pennsylvania, US: University of Pennsylvania, PA.
[24] Levy, W. C., Cerqueira, M. D., Harp, G. D., Johannessen, K. A., Abrass, I. B., Schwartz, R. S., & Stratton, J. R. (1998). "Effect of endurance exercise training on heart rate variability at rest in healthy young and older men". The American journal of cardiology, 82(10), 1236-1241.
[25] Migliaccio, G., Teizer, J., Cheng, T., & Gatti, U. (2012). Automatic Identification of Unsafe Bending Behavior of Construction Workers Using Real-Time Location Sensing and Physiological Status Monitoring. In Proceedings of Construction Research Congress, 633-642.
[26] Myers, L. J., & Downs, J. H. (2009). Parsimonious identification of physiological indices for monitoring cognitive fatigue. Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience. Springer Berlin Heidelberg.
[27] Norton, K., Norton, L., & Sadgrove, D. (2010). Position statement on physical activity and exercise intensity terminology. Journal of Science and Medicine in Sport, 13(5), 496-502.
[28] Pantelopoulos, A., & Bourbakis, N. (2009). A health prognosis wearable system with learning capabilities using NNs. Tools with Artificial Intelligence, 2009. ICTAI '09. 21st International Conference, IEEE, (pp. 243 - 247). Newark, NJ.
[29] RW Wilson, I. I., Reynolds, K., & Snyder, A. C. (2011). Use of a Physiological Monitoring System to Determine Ventilatory Threshold. The Journal of Strength & Conditioning Research, 25, S113.
[30] Salminen, S., Lounamaa, A., & Kurenniemi, M. (2008). Gender and injury in Finnish comprehensive schools. Accident Analysis & Prevention, 40(4), 1267-1272.
[31] Teevale, T., Denny, S., Percival, T., & Fleming, T. (2013). Pacific secondary school students' access to primary health care in New Zealand. The New Zealand Medical Journal (Online), 126(1375).
[32] Ungaro, J. F., De Hoyos, G. H., & Enders, J. (2010). Teachers opinions, beliefs and attitudes regarding accidents and their prevention. Injury Prevention,16 (Suppl 1), A193-A193.
[33] Uth, N., Sørensen, H., Overgaard, K., & Pedersen, P. K. (2004). "Estimation of VO2max from the ratio between HRmax and HRrest–the heart rate ratio method". European journal of applied physiology, 91(1), 111-115.
[34] Wohlfart, B., & Farazdaghi, G. R. (2003). "Reference values for the physical work capacity on a bicycle ergometer for men–a comparison with a previous study on women". Clinical physiology and functional imaging, 23(3), 166-170.
[35] Younis, J. R., & El-Abassy, A. (2015). Primary teachers' first aid management of children's school day accidents: Video-assisted teaching method versus lecture method. Journal of Nursing Education and Practice, 5(10), 60.
[36] Yufeng, M., & Xudong, Y. (2015). Researches on Safety Management of Universities Environmental Engineering Laboratory. Guangdong Chemical Industry, 9, 125.
[1] Atrash, A., Mower, E., Shams, K., & Mataric, M. J. (2011). Recognition of Physiological Data for a Motivational Agent. AAAI Spring Symposium: Computational Physiology. Stanford, CA.
[2] Bates, G. P., & Schneider, J. (2008). Hydration status and physiological workload of UAE construction workers: A prospective longitudinal observational study. J Occup Med Toxicol, 3(21), 4-5.
[3] Bates, G. P., Miller, V. S., & Joubert, D. M. (2009). Hydration status of expatriate manual workers during summer in the Middle East. Annals of occupational hygiene, 54(2), 137–143.
[4] Beautiful Weather Graphs and Maps – Weather Spark. (2015). Retrieved August 12, 2015, from Weatherspark.com: https://weatherspark.com
[5] Campbell, S. (2012). Supporting mandatory first aid training in primary schools. Nursing Standard, 27(6), 35-39.
[6] Chau, N., Predine, R., Benamghar, L., Michaely, J. P., Choquet, M., & Predine, E. (2008). Determinants of school injury proneness in adolescents: a prospective study. Public health, 122(8), 801-808.
[7] Cichero, J. A., & Murdoch, B. E. (2006). "Dysphagia: foundation, theory and practice". West Sussex, England: John Wiley & Sons.
[8] Clapp, J. D., Johnson, M., Voas, R. B., Lange, J. E., Shillington, A., & Russell, C. (2005). Reducing DUI among US college students: Results of an environmental prevention trial. Addiction, 100(3), 327-334.
[9] Crowe, J. W. (1995). Safety values and safe practices among college students. Journal of Safety Research, 26(3), 187-195.
[10] Denny, S., Farrant, B., Cosgriff, J., Harte, M., Cameron, T., Johnson, R., & Ameratunga, S. (2013). Forgone health care among secondary school students in New Zealand. Journal of primary health care, 5(1), 11-18.
[11] Fennell, R. (1997). Health behaviors of students attending historically black colleges and universities: results from the National College Health Risk Behavior Survey. Journal of American College Health, 46(3), 109-117.
[12] Gatti, U. C., Migliaccio, G. C., & Schneider, S. (2011). Wearable physiological status monitors for measuring and evaluating worker’s physical strain: preliminary validation. International Workshop on Computing in Civil Engineering 2011, (pp. 194-201). Miami, Florida, United States.
[13] Gatti, U. C., Migliaccio, G. C., Bogus, S. M., & Schneider, S. (2014a). An exploratory study of the relationship between construction workforce physical strain and task level productivity. Construction Management and Economics, 32(6), 548-564.
[14] Gatti, U., Migliaccio, G., Bogus, S., & Schneider, S. (2012a). Using Wearable Physiological Status Monitors for Analyzing the Physical Strain-Productivity Relationship for Construction Tasks. International Conference on Computing in Civil Engineering 2012, (pp. 577-585). Clearwater Beach, Florida, United States.
[15] Grubbs, F. E., & Beck, G. (1972). "Extension of sample sizes and percentage points for significance tests of outlying observations". Technometrics, 14(4), 847-854.
[16] Herrmann, M. A., & Rockoff, J. E. (2012). Does menstruation explain gender gaps in work absenteeism? Journal of Human Resources, 47(2), 493-508.
[17] Joubert, D., Thomsen, J., & Harrison, O. (2011). Safety in the heat: A comprehensive program for prevention of heat illness among workers in Abu Dhabi, United Arab Emirates. American journal of public health, 101(3), 395-398.
[18] Kann, L., Brener, N. D., & Allensworth, D. D. (2001). Health education: Results from the school health policies and programs study 2000. Journal of School Health, 71(7), 266-278.
[19] Karvonen, M. J. (1957). "The effects of training on heart rate. A longitudinal study". Ann Ned Exp Biol Fenn, 35, 307-315.
[20] Kokonozi, A., Astaras, A., Semertzidis, P., Michail, E., Filos, D., Chouvarda, I., Grossenbacher, O., Koller, J.-M., Leopoldo, R., Porchet, J.-A., Correvon, M., Luprano, J., Sipila, A., Zamboulis, C., & Maglaveras, N. (2010). Development and clinical evaluation of a physiological data acquisition device for monitoring and exercise guidance of heart failure and chronic heart disease patients. Computing in Cardiology, IEEE, (pp. 1099-1102). Belfast.
[21] Lee, W., & Migliaccio, G. C. (2014). Field Use of Physiological Status Monitoring (PSM) to Identify Construction Workers’ Physiologically Acceptable Bounds and Heart Rate Zones. In Computing in Civil and Building Engineering, 1037-1044.
[22] Lee, W., Migliaccio, G. C., Lin, K. Y., & Russo, F. (2015). Lessons learned from using bio-and environmental sensing in construction: A field implementation. 5th International/11th Construction Specialty Conference. Vancouver, British Columbia.
[23] Lerer, S. J., Tieniber, E. B., & Smith, J. M. (2009-2010). Building a wireless ice hockey personnel management system. Pennsylvania, US: University of Pennsylvania, PA.
[24] Levy, W. C., Cerqueira, M. D., Harp, G. D., Johannessen, K. A., Abrass, I. B., Schwartz, R. S., & Stratton, J. R. (1998). "Effect of endurance exercise training on heart rate variability at rest in healthy young and older men". The American journal of cardiology, 82(10), 1236-1241.
[25] Migliaccio, G., Teizer, J., Cheng, T., & Gatti, U. (2012). Automatic Identification of Unsafe Bending Behavior of Construction Workers Using Real-Time Location Sensing and Physiological Status Monitoring. In Proceedings of Construction Research Congress, 633-642.
[26] Myers, L. J., & Downs, J. H. (2009). Parsimonious identification of physiological indices for monitoring cognitive fatigue. Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience. Springer Berlin Heidelberg.
[27] Norton, K., Norton, L., & Sadgrove, D. (2010). Position statement on physical activity and exercise intensity terminology. Journal of Science and Medicine in Sport, 13(5), 496-502.
[28] Pantelopoulos, A., & Bourbakis, N. (2009). A health prognosis wearable system with learning capabilities using NNs. Tools with Artificial Intelligence, 2009. ICTAI '09. 21st International Conference, IEEE, (pp. 243 - 247). Newark, NJ.
[29] RW Wilson, I. I., Reynolds, K., & Snyder, A. C. (2011). Use of a Physiological Monitoring System to Determine Ventilatory Threshold. The Journal of Strength & Conditioning Research, 25, S113.
[30] Salminen, S., Lounamaa, A., & Kurenniemi, M. (2008). Gender and injury in Finnish comprehensive schools. Accident Analysis & Prevention, 40(4), 1267-1272.
[31] Teevale, T., Denny, S., Percival, T., & Fleming, T. (2013). Pacific secondary school students' access to primary health care in New Zealand. The New Zealand Medical Journal (Online), 126(1375).
[32] Ungaro, J. F., De Hoyos, G. H., & Enders, J. (2010). Teachers opinions, beliefs and attitudes regarding accidents and their prevention. Injury Prevention,16 (Suppl 1), A193-A193.
[33] Uth, N., Sørensen, H., Overgaard, K., & Pedersen, P. K. (2004). "Estimation of VO2max from the ratio between HRmax and HRrest–the heart rate ratio method". European journal of applied physiology, 91(1), 111-115.
[34] Wohlfart, B., & Farazdaghi, G. R. (2003). "Reference values for the physical work capacity on a bicycle ergometer for men–a comparison with a previous study on women". Clinical physiology and functional imaging, 23(3), 166-170.
[35] Younis, J. R., & El-Abassy, A. (2015). Primary teachers' first aid management of children's school day accidents: Video-assisted teaching method versus lecture method. Journal of Nursing Education and Practice, 5(10), 60.
[36] Yufeng, M., & Xudong, Y. (2015). Researches on Safety Management of Universities Environmental Engineering Laboratory. Guangdong Chemical Industry, 9, 125.
@article{"International Journal of Medical, Medicine and Health Sciences:77078", author = "Ammar S. M. Moohialdin and Bambang T. Suhariadi and Mohsin Siddiqui", title = "University Students Sport’s Activities Assessment in Harsh Weather Conditions", abstract = "This paper addresses the application of physiological status monitoring (PSM) for assessing the impact of harsh weather conditions on sports activities in universities in Saudi Arabia. Real sports measurement was conducted during sports activities such that the physiological status (HR and BR) of five students were continuously monitored by using Zephyr BioHarnessTM 3.0 sensors in order to identify the physiological bonds and zones. These bonds and zones were employed as indicators of the associated physiological risks of the performed sports activities. Furthermore, a short yes/no questionnaire was applied to collect information on participants’ health conditions and opinions of the applied PSM sensors. The results show the absence of a warning system as a protective aid for the hazardous levels of extremely hot and humid weather conditions that may cause dangerous and fatal circumstances. The applied formulas for estimating maximum HR provides accurate estimations for Maximum Heart Rate (HRmax). The physiological results reveal that the performed activities by the participants are considered the highest category (90–100%) in terms of activity intensity. This category is associated with higher HR, BR and physiological risks including losing the ability to control human body behaviors. Therefore, there is a need for immediate intervention actions to reduce the intensity of the performed activities to safer zones. The outcomes of this study assist the safety improvement of sports activities inside universities and athletes performing their sports activities. To the best of our knowledge, this is the first paper to represent a special case of the application of PSM technology for assessing sports activities in universities considering the impacts of harsh weather conditions on students’ health and safety.
", keywords = "PSM, heart rate, HR, breathing rate, BR.", volume = "12", number = "3", pages = "62-9", }
