UPSI Digital Repository (UDRep)
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UPSI Digital Repository (UDRep)
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| Abstract : Universiti Pendidikan Sultan Idris |
| INTRODUCTION: Sedentary behaviour or physical inactivity has been relatively prevalent among young adults globally. Multiple studies pointed out that Malaysia has been listed as one of the Asian countries with high prevalence of inactivity. Objective: This study aimed to examine the heart rate variability (HRV) and muscle strength among young adults with sedentary behaviour in order to explore the early impact of this behaviour on their physiological and physical health. MATERIALS AND METHODS: This cross-sectional study involved 185 healthy male adults aged 18-25 years. Participants? height and body compositions were measured and their level of physical activities were obtained using Short Questionnaire to Assess Health (SQuASH). Those with less than 150 minutes per week of physical activity engagement were classified as sedentary. Their HRV was analysed as a determinant for early physiological change that was influenced by the sedentary behaviour. Muscle strength of upper and lower body was assessed via handheld dynamometer to identify the physical fitness associated to the behaviour. RESULTS: Among the participants that volunteered in this study, approximately 44% were classified as sedentary. Analyses revealed that those with sedentary behaviour had lower variability of their HRV and lower muscle strength as compared to those who engaged with at least 150 minutes per week of physical activities. CONCLUSION: The highlighted evidence of the difference on parameters of HRV and muscle strength with this behaviour suggested that these were the suitable parameters to be utilised in determining subclinical improvement on health with any intervention to curb sedentary behaviour. ? 2021 |
| References |
Al-Hazzaa, H. M., Abahussain, N. A., Al-Sobayel, H. I., Qahwaji, D. M., & Musaiger, A. O. (2011). Physical activity, sedentary behaviors and dietary habits among saudi adolescents relative to age, gender and region. International Journal of Behavioral Nutrition and Physical Activity, 8 doi:10.1186/1479-5868-8-140 Bellettiere, J., Carlson, J. A., Rosenberg, D., Singhania, A., Natarajan, L., Berardi, V., . . . Kerr, J. (2015). Gender and age differences in hourly and daily patterns of sedentary time in older adults living in retirement communities. PLoS ONE, 10(8) doi:10.1371/journal.pone.0136161 Campbell, N., Gaston, A., Gray, C., Rush, E., Maddison, R., & Prapavessis, H. (2016). The short questionnaire to assess health-enhancing (SQUASH) physical activity in adolescents: A validation using doubly labeled water. Journal of Physical Activity and Health, 13(2), 154-158. doi:10.1123/jpah.2015-0031 Castaldo, R., Melillo, P., Izzo, R., De Luca, N., & Pecchia, L. (2017). Fall prediction in hypertensive patients via short-term HRV analysis. IEEE Journal of Biomedical and Health Informatics, 21(2), 399-406. doi:10.1109/JBHI.2016.2543960 Castaldo, R., Xu, W., Melillo, P., Pecchia, L., Santamaria, L., & James, C. (2016). Detection of mental stress due to oral academic examination via ultra-short-term HRV analysis. Paper presented at the Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, , 2016-October 3805-3808. doi:10.1109/EMBC.2016.7591557 Retrieved from www.scopus.com Cools, A. M. J., Vanderstukken, F., Vereecken, F., Duprez, M., Heyman, K., Goethals, N., & Johansson, F. (2016). Eccentric and isometric shoulder rotator cuff strength testing using a hand-held dynamometer: Reference values for overhead athletes. Knee Surgery, Sports Traumatology, Arthroscopy, 24(12), 3838-3847. doi:10.1007/s00167-015-3755-9 Daloia, L. M. T., Leonardi-Figueiredo, M. M., Martinez, E. Z., & Mattiello-Sverzut, A. C. (2018). Isometric muscle strength in children and adolescents using handheld dynamometry: Reliability and normative data for the brazilian population. Brazilian Journal of Physical Therapy, 22(6), 474-483. doi:10.1016/j.bjpt.2018.04.006 De Hollander, E. L., Zwart, L., De Vries, S. I., & Wendel-Vos, W. (2012). The SQUASH was a more valid tool than the OBiN for categorizing adults according to the dutch physical activity and the combined guideline. Journal of Clinical Epidemiology, 65(1), 73-81. doi:10.1016/j.jclinepi.2011.05.005 Finkel, D., Andel, R., & Pedersen, N. L. (2018). Gender differences in longitudinal trajectories of change in physical, social, and Cognitive/Sedentary leisure activities. Journals of Gerontology - Series B Psychological Sciences and Social Sciences, 73(8), 1491-1500. doi:10.1093/geronb/gbw116 Ghasemi, A., & Zahediasl, S. (2012). Normality tests for statistical analysis: A guide for non-statisticians. International Journal of Endocrinology and Metabolism, 10(2), 486-489. doi:10.5812/ijem.3505 Gibbs, B. B., Hergenroeder, A. L., Katzmarzyk, P. T., Lee, I. -., & Jakicic, J. M. (2015). Definition, measurement, and health risks associated with sedentary behavior. Medicine and Science in Sports and Exercise, 47(6), 1295-1300. doi:10.1249/MSS.0000000000000517 Gregoire, T. G., & Affleck, D. L. R. (2018). Estimating desired sample size for simple random sampling of a skewed population. American Statistician, 72(2), 184-190. doi:10.1080/00031305.2017.1290548 Jaiswal, M., Urbina, E. M., Wadwa, R. P., Talton, J. W., D'Agostino Jr., R. B., Hamman, R. F., . . . Dabelea, D. (2013). Reduced heart rate variability among youth with type 1 diabetes: The SEARCH CVD study. Diabetes Care, 36(1), 157-162. doi:10.2337/dc12-0463 Jones, S. M. W., Guthrie, K. A., Reed, S. D., Landis, C. A., Sternfeld, B., LaCroix, A. Z., . . . Newton, K. M. (2016). A yoga and exercise randomized controlled trial for vasomotor symptoms: Effects on heart rate variability. Complementary Therapies in Medicine, 26, 66-71. doi:10.1016/j.ctim.2016.03.001 Juliana, N., Abu, I., Roslan, N., Mohd Fahmi Teng, N., Hayati, A., & Azmani, S. (2021). Muscle strength in male youth that play archery during leisure time activity. Enhancing Health and Sports Performance by Design, , 248-256. Retrieved from www.scopus.com Juliana, N., Akmal, N., Johari, S., Azmani, S., Umaisara, N., & Amin, N. (2017). Recommended physical activity and intensity levels to reduce excess of body fat amongst malay female university students in malaysia. Journal of.Fundamental and Applied Science, 9, 111-121. Retrieved from www.scopus.com Juliana, N., Nadia, M. E., Roslan, N. A., Ghazali, A. R., Fauzi, N. F. M., Sahar, M. A., . . . Mohamed, A. L. (2019). Comparison of heart rate variability among young malay male adult with different BMI and level of adiposity. IIUM Medical Journal Malaysia, 18(1), 73-80. Retrieved from www.scopus.com Juliana, N., Shahar, S., Sahar, M. A., Ghazali, A. R., Manaf, Z. A., & Noah, R. M. (2017). 'Her shape' intervention programme for obese women with high breast adiposity. Asia Pacific Journal of Clinical Nutrition, 26(2), 278-286. doi:10.6133/apjcn.122015.05 Kuroda, Y., Hudson, J., & Thatcher, R. (2015). Motivational state and personality in relation to emotion, stress, and HRV responses to aerobic exercise. Journal of Psychophysiology, 29(4), 147-160. doi:10.1027/0269-8803/a000146 Lian, T. C., Bonn, G., Han, Y. S., Choo, Y. C., & Piau, W. C. (2016). Physical activity and its correlates among adults in malaysia: A cross-sectional descriptive study. PLoS ONE, 11(6) doi:10.1371/journal.pone.0157730 Lizamore, C. A., Kathiravel, Y., Elliott, J., Hellemans, J., & Hamlin, M. J. (2016). The effect of short-term intermittent hypoxic exposure on heart rate variability in a sedentary population. Acta Physiologica Hungarica, 103(1), 75-85. doi:10.1556/036.103.2016.1.7 Moriyama, Y., Hara, M., Aratani, S., Ishikawa, H., Kono, K., & Tamaki, M. (2019). The association between six month intra-dialytic resistance training and muscle strength or physical performance in patients with maintenance hemodialysis: A multicenter retrospective observational study. BMC Nephrology, 20(1) doi:10.1186/s12882-019-1375-1 Nakamura, F. Y., Flatt, A. A., Pereira, L. A., Ramirez-Campillo, R., Loturco, I., & Esco, M. R. (2015). Ultra-short-term heart rate variability is sensitive to training effects in team sports players. Journal of Sports Science and Medicine, 14(3), 602-605. Retrieved from www.scopus.com Peltzer, K., & Pengpid, S. (2016). Leisure time physical inactivity and sedentary behaviour and lifestyle correlates among students aged 13–15 in the association of southeast asian nations (ASEAN) member states, 2007–2013. International Journal of Environmental Research and Public Health, 13(2) doi:10.3390/ijerph13020217 Pieters, N., Plusquin, M., Cox, B., Kicinski, M., Vangronsveld, J., & Nawrot, T. S. (2012). An epidemiological appraisal of the association between heart rate variability and particulate air pollution: A meta-analysis. Heart, 98(15), 1127-1135. doi:10.1136/heartjnl-2011-301505 Rivière, F., Aubert, S., Omorou, A. Y., Ainsworth, B. E., & Vuillemin, A. (2018). Taxonomy-based content analysis of sedentary behavior questionnaires: A systematic review. PLoS ONE, 13(3) doi:10.1371/journal.pone.0193812 Rodríguez-Liñares, L., & Simpson, D. M. (2019). Spectral estimation of HRV in signals with gaps. Biomedical Signal Processing and Control, 52, 187-197. doi:10.1016/j.bspc.2019.04.006 Sadeghisani, M., Manshadi, F. D., Azimi, H., & Montazeri, A. (2016). Validity and reliability of the persian version of baecke habitual physical activity questionnaire in healthy subjects. Asian Journal of Sports Medicine, 7(3) doi:10.5812/asjsm.31778 Sørensen, L., Mikkelsen, L. R., Jacobsen, J. S., Tjur, M., & Mechlenburg, I. (2018). Reliability of the danish version of the short questionnaire to assess health-enhancing physical activity (SQUASH). Physiotherapy Theory and Practice, 34(8), 637-642. doi:10.1080/09593985.2017.1423143 Thayer, J. F., Yamamoto, S. S., & Brosschot, J. F. (2010). The relationship of autonomic imbalance, heart rate variability and cardiovascular disease risk factors. International Journal of Cardiology, 141(2), 122-131. doi:10.1016/j.ijcard.2009.09.543 Tremblay, M. S., Aubert, S., Barnes, J. D., Saunders, T. J., Carson, V., Latimer-Cheung, A. E., . . . on behalf of SBRN Terminology Consensus Project Participants. (2017). Sedentary behavior research network (SBRN) - terminology consensus project process and outcome. International Journal of Behavioral Nutrition and Physical Activity, 14(1) doi:10.1186/s12966-017-0525-8 Tudor-Locke, C., Craig, C. L., Thyfault, J. P., & Spence, J. C. (2013). A step-defined sedentary lifestyle index: <5000 steps/day. Applied Physiology, Nutrition and Metabolism, 38(2), 100-114. doi:10.1139/apnm-2012-0235 Voss, A., Schroeder, R., Heitmann, A., Peters, A., & Perz, S. (2015). Short-term heart rate variability - influence of gender and age in healthy subjects. PLoS ONE, 10(3) doi:10.1371/journal.pone.0118308 Yang, N. -., Hsu, N. -., Lin, C. -., Chen, H. -., Tsao, H. -., Lo, S. -., & Chou, P. (2018). Relationship between muscle strength and fall episodes among the elderly: The yilan study, taiwan. BMC Geriatrics, 18(1) doi:10.1186/s12877-018-0779-2 Zhu, H., Wang, H., Liu, Z., Li, D., Kou, G., & Li, C. (2018). Experimental study on the human thermal comfort based on the heart rate variability (HRV) analysis under different environments. Science of the Total Environment, 616-617, 1124-1133. doi:10.1016/j.scitotenv.2017.10.208 |
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