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August 16, 2024
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August 16, 2024
Published
August 22, 2024
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Abstract

One of the most often utilized measures in calculating body proportion criterion is the BMI. The goal of this study is to see if there is a link between BMI and glucose levels in students who are given virtual physical activity. A high sedentary lifestyle is thought to be linked to the high prevalence of metabolic disorders among students. A rise in BMI or waist circumference levels indicates that a person may be at risk for a variety of metabolic disorders as a result of body mass index. An experimental study was utilized to investigate if there was a difference in the respondents' body mass index and waist circumference before and after the intervention. Before and after the treatment, there were significant variations in waist circumference (76.921.51 vs 74.651.47 cm, p0.001) and BMI (23.540.76 vs 23.050.77 cm, p0.001). Furthermore, with a value of r=0.895 and p0.001, there is a high link between BMI and waist circumference.

Keywords

body mass index waist circumference exercise sedentary life obesity

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Budisusilo, W., Ujianti, I., & Pangestu , M. (2024). The Effect Of Virtual Physical Exercise On Body Mass Index And Waist Circumstances Of Students Faculty Of Medicine. Sanus Medical Journal, 6(1), 30–37. https://doi.org/10.22236/sanus.v6i1.16003
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References

  1. Aydın, T., Kesiktaş, F. N., & Çorum, M. (2020). Analysis of stroke patients requiring re- hospitalisation for rehabilitation . Haseki Tip Bulteni, 58(5), 422–427. https://doi.org/10.4274/haseki.galenos.2020.6591
  2. Blüher, M. (2019). Obesity: global epidemiology and pathogenesis. Nature Reviews Endocrinology, 15(5), 288–298. https://doi.org/10.1038/s41574-019-0176-8
  3. Castillo-Quan, J. I. (2012). From white to brown fat through the PGC-1α-dependent myokine irisin: Implications for diabetes and obesity. DMM Disease Models and Mechanisms, 5(3), 293–295. https://doi.org/10.1242/dmm.009894
  4. Dumith, S. C., Hallal, P. C., Reis, R. S., & Kohl, H. W. (2011). Worldwide prevalence of physical inactivity and its association with human development index in 76 countries. Preventive Medicine, 53(1–2), 24–28. https://doi.org/10.1016/j.ypmed.2011.02.017
  5. Gasparrini, M., Giampieri, F., Suarez, J. M. A., Mazzoni, L., Hernandez, T. Y. F., Quiles, J. L., Bullon, P., & Battino, M. (2016). AMPK as a New Attractive Therapeutic Target for Disease Prevention : The Role of Dietary Compounds AMPK and Disease Prevention. 865–889.
  6. Gureev, A. P., Shaforostova, E. A., & Popov, V. N. (2019). Regulation of mitochondrial biogenesis as a way for active longevity: Interaction between the Nrf2 and PGC-1α signaling pathways. Frontiers in Genetics, 10(MAY), 1–12. https://doi.org/10.3389/fgene.2019.00435
  7. Johnson, N., Keating, S., Way, K., Sainsbury, A., Baker, M., Chuter, V., Caterson, I., & George,
  8. J. (2015). Exercise and visceral fat loss: is waist circumference a useful predictor? Journal of Science and Medicine in Sport, 19, e74. https://doi.org/10.1016/j.jsams.2015.12.179
  9. Karchynskaya, V., Kopcakova, J., Klein, D., Gába, A., Madarasova-Geckova, A., van Dijk, J. P., de Winter, A. F., & Reijneveld, S. A. (2020). Is BMI a valid indicator of overweight and obesity for adolescents? International Journal of Environmental Research and Public Health, 17(13), 1–10. https://doi.org/10.3390/ijerph17134815
  10. Koseoglu, S. Z. A., Toprak, D., & Dogan, N. (2020). The relationship between BMI, WHR and serum vitamin B12, folic acid and ferritin levels in adults. Progress in Nutrition, 22(1), 127–136. https://doi.org/10.23751/pn.v22i1.7790
  11. Mendes, R., Sousa, N., Themudo-Barata, J. L., & Reis, V. M. (2019). High-intensity interval training versus moderate-intensity continuous training in middle-aged and older patients with type 2 diabetes: A randomized controlled crossover trial of the acute effects of treadmill walking on glycemic control. International Journal of Environmental Research and Public Health, 16(21), 1–14. https://doi.org/10.3390/ijerph16214163
  12. Nugraheni, H., Murwani, R., Shaluhiyah, Z., & Widjanarko, B. (2021). Physical activity and sedentary life of students. Annals of Tropical Medicine & Public Health, 24(01). https://doi.org/10.36295/asro.2021.24155
  13. Paley, C. A., & Johnson, M. I. (2018). Abdominal obesity and metabolic syndrome: Exercise as medicine? BMC Sports Science, Medicine and Rehabilitation, 10(1), 1–8. https://doi.org/10.1186/s13102-018-0097-1
  14. Santoso, D. I. S., Sianipar, I. R., & Kartinah, N. T. (2021). Peran Latihan Fisik Dalam Penanganan Obesitas: Aksi Irisin Pada Proses Pencokelatan. Jurnal Ilmu Faal Olahraga Indonesia, 3(1), 27. https://doi.org/10.51671/jifo.v3i1.86
  15. Stanford, K. I., Middelbeek, R. J. W., & Goodyear, L. J. (2015). Exercise effects on white adipose tissue: Beiging and metabolic adaptations. Diabetes, 64(7), 2361–2368. https://doi.org/10.2337/db15-0227
  16. Yang, T. J., Wu, C. L., & Chiu, C. H. (2018). High-intensity intermittent exercise increases fat oxidation rate and reduces postprandial triglyceride concentrations. Nutrients, 10(4). https://doi.org/10.3390/nu10040492