ICT USE IMPLICATIONS FOR EXERCISE PARTICIPATION AND HEALTH IN THE NIGERIAN UNIVERSITY COMMUNITY

• Authors: Dominic Olufunmilola L. , Seidina Iliasu Y. , Williams D. F. , Oyerinde O. O. , Olaitan L.
• Languages of publication: EN

Abstracts

EN

Background: ICT use encourages deviation from a physically active lifestyle and might surreptitiously become a contemporary contributor to chronic diseases. The study was conducted to examine the extent of ICT use and its implications for exercise participation and health in the Nigerian University Community. Methods: A descriptive survey research design involving permanent members of the University of Ilorin, Nigeria was used. A multistage sampling technique was used to select 767 staff and students with an age range of 15–60 years. The University of Ilorin ethical review committee granted clearance (UERC/ASN/2016/588). The respondents were informed and all signed the informed consent form. A validated questionnaire, “Information and Communication Technology Use and Sedentariness Questionnaire (ICTUSQ)” with reliability (r=.89), was used for data collection. Statistical analyses conducted were frequency, percentage and One-way ANOVA; p≤0.05. Result: The most common types of ICT activities among the Nigerian University Community were: mobile phones calls/texting 91.0% (n=698), online-chats 90.9% (n=697), computer use 69.9% (n=536) and viewing TV/DVD 64.5% (n=495). Due to ICT use, respondents were continuously sedentary for several hours daily. Only 34.8% (n=267) of them participated in the recommended amount of exercise, the majority 81.0% (n=621) reported that they were too busy to exercise. ICTinduced health problems included shoulder pain 60.9% (n=467), thumb pain 68.6% (n=526), fatigue 33.0% (n=253), phone addiction 84.3% (n=646) and anxiety/depression 76.1% (n=544). Irrespective of age, factors that largely determined the extent of ICT use were gender, n=767, F(9, 757)=407.73, p≤0.005; occupation, n=767, F(9, 757)=163.79, p≤0.002; and type of job, n=767, F (9, 757)=639.45, p≤0.003. Conclusion: Excessive ICT use leads to sedentariness and a reduction in the desire to exercise. The accumulated effect might accelerate the risk of cardiometabolic, cardiovascular, physiological and mental disorders. Regular physical activity breaks of at least 5 minutes each hour of continuous ICT use, and the introduction of physical education and sport programmes to inculcate sustainable physical activity culture in the university community is recommended.

Keywords

EN

ergonomic, exercise, health ICT use, physical activity, sedentariness

• Publisher: Politechnika Opolska. Wydział Wychowania Fizycznego i Fizjoterapii
• Journal: Journal of Physical Education & Health - Social Perspective
• Year: 2018
• Volume: 7
• Issue: 11
• Pages: 5-14

Dates

published

2018-10-11

Contributors

author

Dominic Olufunmilola L.

• University of Ilorin, Ilorin, Nigeria Department of Human Kinetics Education

author

Seidina Iliasu Y.

• University of Ilorin, Ilorin, Nigeria Department of Human Kinetics Education

author

Williams D. F.

• University of Ilorin, Ilorin, Nigeria Department of Clinical Pharmacy and Pharmacy Practice

author

Oyerinde O. O.

• Bayero University, Kano, Nigeria Department of Physical and Health Education

author

Olaitan L.

• University of Ilorin, Ilorin, Nigeria Department of Health Promotion and Environmental Health Education

References

• Adams, M. (2004). Sedentary Lifestyle causes more deaths than smoking. Retrieved August 26, 2016 from https://www.naturalnews.com/001547.html#.
• Addo, P. N. O., Nyarko, K. M., Sackey, S. O., Akweongo, P. & Sarfo, B. (2015). Prevalence of obesity and overweight and associated factors among financial institution workers in Accra Metropolis, Ghana: a cross sectional study. BMC Res Notes 8(599), 1-8.
• Adeyemi, O. A. (2010). ICT Facilities: ergonomic effects on academic library staff. Library philosophy and practice- Electronic Journal. Retrieved August 9, 2016 from http://digitalcommons.unl.edu/libphiprac/343/.
• Ainsworth, B. E., Haskel, W. L., Whitt, M. C., Irwin, M. L., Swartz, A. M. Strath, S. J., et al. (2000). Compendium of physical activities: an update of activity codes and MET intensities. Medicine & Science in Sports & Exercise 32(9Suppl.). S498–504.
• Airaksinen, O., Brox, J. I., Cedraschi, C., Hildebrandt, J. Klaber-Moffettt, J., Kovacs, F. et al. (2006). European guideline for the management of chronic non-specific low back pain. Eur SpineJ. 15(2), 192-300.
• Aladeniyi, I., Adeniyi, V. O. ., Fawole, O., Adeolu, M., Goon, D. T., Ajayi, A. I. & Omolara, E. O. (2017). Pattern and correlates of obesity among public service workers in Ondo State, Nigeria: a cross- sectional study. South African Family Practice 59(6), 195-200.
• Anderson, T., & Dewolfe, C. (2003). My Space: The history of its creation. Retrieved 2012 from http://freeMySpace.com/history.htm.
• Brown, Williams, Ford, Ball and Doboson (2005). Identifying the Energy Gap: Magnitude and Determinants of 5-Year Weight Gain in Midage Women. Obesity Research 13(8), 1431-1441.
• Colen, H. (2011). Avoid Sedentary Lifestyle. Retrieved November 13, 2016 from http://www.jonbarr.org.
• Dominic, O. L., Onifade, O. A. & Lajide, E. O. (2010). Body mass index and waist/hip ratio among female woukers in University of Ilorin, Nigeria. Medicina Sportiva 6(4), 1467-1472.
• Dunstan, D. W., Barr, E. L.M, Healy, G. N, et al. (2010). Television viewing time and mortality: the Australian diabetes, obesity and lifestyle study (ausdiab) Circulation 121 (3), 384–391. [PubMed].
• Hamilton, M. T., Hamilton, D. G. & Zderic, T. W. (2007). Role of low energy expenditure and sitting on obesity, metabolic syndrome, type 2 diabetes and cardiovascular diseases. Perspective in Diabetes 56, 2655–2667.
• Healy, G. N., Dustan, D.W., Salmon, J., Shaw, J.E., Zimmet, P.Z., & Owen N. (2008). Television time and continuous metabolic risk in physically active adults. Medicine & Science in Sports & Exercise 40(4), 639-645.
• Healya, G. N. & Owena, N. (2010). Sedentary behaviour and biomarkers of cardiometabolic health risk in adolescents: an emerging scientific and public health issue. Rev Esp Cardiol 63(3), 261-264.
• Howard, R. A, Freedman, D. M., Park. Y., Hollenbeck, A., Schatzkin, A., Leitzmann, M.F. (2008). Physical activity, sedentary behavior, and the risk of colon and rectal cancer in the NIH-AARP Diet and Health Study. Cancer Causes and Control 19(9), 939–953.
• Inoue, M., Iso, H., Yamamoto, S. et al. (2008). Daily total physical activity level and premature death in men and women: results from a large-scale population-based cohort study in Japan (JPHC study) Annals of Epidemiology 18(7), 522–530. [PubMed].
• Katzmarzyk, P.T., Church, T. S., Craig, C. L. & Bouchard, C. (2009). Sitting time and mortality from all causes, cardiovascular disease, and cancer. Medicine and Science in Sports and Exercise 41(5), 998 – 1005. [PubMed].
• Krishnan, S., Rosenberg, L., Palmer, J. R. (2009). Physical activity and television watching in relation to risk of type 2 diabetes: the black women’s health study. American Journal of Epidemiology 169(4), 428–434.
• Maiyaki, M. B. & Garbati, M. A. (2014). The burden of non-communicable disease in Nigeria; in the context of globalization. Annals of African Medicine 1(1), 1–10.
• Martin, K. (2011). Electronic overload: The impact of excessive screen use on child and adolescent health and wellbeing. Retrieved July 31, 2016 from www.naturepolesa.org94/assets/file.
• Meis, J. J. M. Kremers, S. P. J. & Bouman, M. P. A. (2012). Television viewing does not have to be sedentary: motivation to participate in a tv exercise program. Journal of Obesity 752820. doi: 10.1155/2012/752820 PMCID: PMC3236521.
• Muscolino, J. E. (2012). Body mechanics. America massage therapy journal. Retrieved October 16, 2012 from http://www.amtamassage.org/uploads/cms/doc…
• Olsen, E. (2012). How does sedentary lifestyle affect the brain? Retrieved November 13, 2016 from http://www.share.com.
• Prince, S. A., Gresty, K. M., Reed, J. I., Wright, E. Tremley, M. S & Reid, R. D. (2015). Individual, social and physical environmental correlates of sedentary behaviour in adults: a systematic review protocol. Systematic Review Journals 3(120), 1-8.
• Proper, K. I., Cerin E., Brown W.J., & Owen, N. (2007). Sitting Time and Socio – economic differences in overweight and obesity. International Journal of Obesity, 31(1), 169–176.
• Rosenbush, S. (2006). Facebook’s on the block. BusinessWeek 2006 – 03. Retrieved January 15, 2017 from http://www.businessweek.com.
• Schofield, G., Quigley, R. & Brown, R. (2009). Does sedentary behaviour contribute to chronic disease or chronic disease risk in adults? a report of prepared by the scientific committee of agencies for nutrition action. Retrieved April 30, 2018 from www.ana.org.nz.
• Shiri, R. & Falah-Hassani, K. (2015). Computer use and carpal tunnel syndrome: A meta-analysis. J Neurol Sci. 15(349), 1-2.
• 29. Silva, D. A. S., Chaput, J., Katzmarzyk, P. T., Fogelholm, M. & Hu, G. (2018). Physical education classes, physical activity, and sedentary behaviour in children. Medicine and Science in Sports and Exercise 50(5), 955–1004.
• 30. The World Bank (2012). ICTs delivering home-grown development solutions in Africa. Retrieved July 15, 2018 from https://www.worldbank.org/en/news/features/2012.
• Thomee, S., Dellve,L., & Hagberg, M. (2010). Percieved connections between Information and communication technology use and mental symptoms among young adults – a qualitative study. BMC Public Health 2010, 10:66doi:10:1186/1471– 2458 –10–66.
• Trembley, M. S., Aubert, S. Barnes, J. D., Saunders, T. J., Carson, V., Latimer-Cheung, A. E., et al. (2017). Sedentary Behaviour Research Network (SBRN) – Terminology consensus project process and outcome. International Journal of Behavioural Nutrition and Physical Activity 14(75), 1-17.
• Wijndaele, K., Lynch, B. M., Owen, N., Dunstan, D.W., Sharp S., Aitken, J. F. (2009). Television viewing time and weight gain in colorectal cancer survivors: a prospective population-based study. Cancer Causes & Control 20(8), 1355–1362.
• Yang, S. Chen, M., Huang, Y. & Chang, J. (2016). Association between smart phone use and musculoskeletal discomfort in adolescent students. Journal of Community Health 42(3), 1-8.