Home based-Exercise using Mobile Application to Improve Cognitive Functions in Patients with Hypertension: A quesy experimental design

Authors

DOI: https://doi.org/10.6018/eglobal.411601
Keywords: cognitive function, exercise, hypertention, mobile application

Abstract

Effectiveness Main Goal: The purpose of this study was to determine the effect of home based-exercise using mobile application to improve cognitive functions in patients with hypertension.
Methods: This study was conducted using a queasy experimental with one group pre-post test design at a public health center located in West Java, Indonesia on February to July 2019. A mobile-based exercise program was a walking activity at home every day for one month. The sample in the study was selected using convenience sampling to adults aged above 18 years old and diagnosed with hypertension. The Montreal Cognitive Assessment (MoCA) was used to measure cognitive function. A paired t-test used to analyze data with the significance level was set at 0.05.
Results: A total of 120 participants were enrolled in this study. The mean age of the sample was 56.42 ± 10.6 years old, 70 (58.3%) were male, 61 (50.8%) had lower education level, and 77 (64.2%) were unemployed. The mean score of MoCA showed improved after intervention, from 23.3 ± 3.42 to 26.7 ± 2.78, p=0.010. In more detail, there were improvement after intervention in domain of naming (2.930.34 vs. 3.141.06, p=0.003), attention (2.39 ± 0.68 vs. 3.12 ± 1.04, p=0.001), and abstraction (1.56 ± 0.49 vs. 2.01 ± 0.89, p=0.043).
Conclusion: Using a mobile-exercise App was effective, easy to do with low cost to improve cognitive function and prevent dementia in hypertensive patients.

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Author Biography

Tayudi Taryudi, Associate Professor from Department of electrical engineering, Universitas Negeri Jakarta, Jakarta, Indonesia

 

 

 

 

 

References

WHO. World Health Statistic 2015. WHO: Geneva. Retrieved from http://www.who.int/gho/publications/world_health_statistics/2015/en/

Scullin, M. K., Gordon, B. A., Shelton, J. T., Lee, J. H., Head, D., & McDaniel, M. A Evidence for a detrimental relationship between hypertension history, prospective memory, and prefrontal cortex white matter in cognitively normal older adults. Cognitive Affection Behaviour Neuroscience. 2013;13(2): 405-416. doi:10.3758/s13415-013-0152-z

Vicario, A., del Sueldo, M. A., Zilberman, J. M., & Cerezo, G. H. Cognitive evolution in hypertensive patients: a six-year follow-up. Vascular Health and Risk Management. 2005; 7: 281-285. doi:10.2147/vhrm.s18777

Kohler, S., Baars, M. A., Spauwen, P., Schievink, S., Verhey, F. R., & van Boxtel, M. J. Temporal evolution of cognitive changes in incident hypertension: prospective cohort study across the adult age span. Hypertension. 2011; 63(2): 245-251. doi:10.1161/hypertensionaha.113.02096

Taylor, C., Tillin, T., Chaturvedi, N., Dewey, M., Ferri, C. P., Hughes, A., . . . Stewart, R. Midlife hypertensive status and cognitive function 20 years later: the Southall and Brent revisited study. Journal of the American Geriatrics Society. 2013; 61(9):1489-1498. doi:10.1111/jgs.12416

Kuller, L. H., Margolis, K. L., Gaussoin, S. A., Bryan, N. R., Kerwin, D., Limacher, M., . . . Robinson, J. G. Relationship of hypertension, blood pressure, and blood pressure control with white matter abnormalities in the Women's Health Initiative Memory Study (WHIMS)-MRI trial. Journal of Clinical Hypertension. 2010; 12(3):203-212. doi:10.1111/j.1751-7176.2009.00234.x

Wang, W., Lau, Y., Loo, A., Chow, A., & Thompson, D. R. Medication adherence and its associated factors among Chinese community-dwelling older adults with hypertension. Heart & Lung: The Journal of Acute and Critical Care. 2014; 43(4): 278-283. doi:http://dx.doi.org/10.1016/j.hrtlng.2014.05.001

Lo, A. H., Woodman, R. J., Pachana, N. A., Byrne, G. J., & Sachdev, P. S. Associations between lifestyle and cognitive function over time in women aged 40-79 years. Journal of Alzheimers Dis. 2014; 39(2):371-383. doi:10.3233/jad-130971

Cornelissen, V. A., Fagard, R. H., Coeckelberghs, E., & Vanhees, L. Impact of resistance training on blood pressure and other cardiovascular risk factors: a meta-analysis of randomized, controlled trials. Hypertension. 2011; 58(5): 950-958. doi:10.1161/hypertensionaha.111.177071

Asikainen, T. M., Miilunpalo, S., Oja, P., Rinne, M., Pasanen, M., Uusi-Rasi, K., & Vuori, I. Randomised, controlled walking trials in postmenopausal women: the minimum dose to improve aerobic fitness? Brith Journal of Sports Medicine. 2012; 36(3): 189-194.

Bernard, P., Ninot, G., Bernard, P. L., Picot, M. C., Jaussent, A., Tallon, G., & Blain, H. Effects of a six-month walking intervention on depression in inactive post-menopausal women: a randomized controlled trial. Aging Mental Health. 2015; 19(6):485-492. doi:10.1080/13607863.2014.948806

Smith, P. J., Blumenthal, J. A., Hoffman, B. M., Cooper, H., Strauman, T. A., Welsh-Bohmer, K., . . . Sherwood, A. Aerobic exercise and neurocognitive performance: a meta-analytic review of randomized controlled trials. Psychosomatic Medicine. 2010; 72(3): 239-252. doi:10.1097/PSY.0b013e3181d14633

Bort-Roig J, Gilson ND, Puig-Ribera A, Contreras RS, Trost SG. Measuring and influencing physical activity with smartphone technology: a systematic review. Sports Medicine. 2014; 44(5):671-86. doi: 10.1007/s40279-014-0142-5.

Lee LL, Kuo YC, Fanaw D, Perng SJ, Juang IF. The effect of an intervention combining self-efficacy theory and pedometers on promoting physical activity among adolescents. Journal Clinical Nursing. 2012; 21(7-8):914-22. doi: 10.1111/j.1365-2702.2011.03881.x. Epub

Adamakis M. Nike+ Training Club, an ultimate personal trainer: mobile app user guide. British Journal of Sports Medicine. 2018; 52(13):e2. doi: 10.1136/bjsports-2017-098414.

Kominfo. Penguna Internet di Indonesia 2018. Available at: https://www.kominfo.go.id

Nasreddine, Z. S., Phillips, N. A., Bédirian, V., Charbonneau, S., Whitehead, V., Collin, I., . . . Chertkow, H. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. Journal of the American Geriatrics Society. 2005; 53(4): 695-699.

Cohen, J. A power primer. Psychological Bulletin.1992 112(1), 155-159. doi:.1037/0033-2909.112.1.155

Rambe, A. S., & Fitri, F. I. Correlation between the Montreal Cognitive Assessment-Indonesian Version (Moca-INA) and the Mini-Mental State Examination (MMSE) in Elderly. Open Access Macedonian Journal of Medical Sciences. 2017; 5(7).doi:10.3889/oamjms.2017.202

Husein N, Silvia L, Yetty R dkk. Uji Validitas dan Reabilitas Montreal Cognitive Assessment Versi Indonesia (MoCA-Ina) Untuk Skrining Gangguan Fungsi Kognitif. Neurona Neuro Sains. 2010;27(4):15–22.

Ruscheweyh, R., Willemer, C., Kruger, K., Duning, T., Warnecke, T., Sommer, J., . . . Floel, A. Physical activity and memory functions: an interventional study. Neurobiol Aginng. 2012; 32(7):1304-1319. doi:10.1016/j.neurobiolaging.2009.08.001

van Uffelen, J. G., Chin, A. P. M. J., Hopman-Rock, M., & van Mechelen, W. The effects of exercise on cognition in older adults with and without cognitive decline: a systematic review. Clinical Journal of Sport Medicine. 2008; 18(6): 486-500. doi:10.1097/JSM.0b013e3181845f0b

Published
20-09-2020
How to Cite
[1]
Darmawati, I. et al. 2020. Home based-Exercise using Mobile Application to Improve Cognitive Functions in Patients with Hypertension: A quesy experimental design . Global Nursing. 19, 4 (Sep. 2020), 409–426. DOI:https://doi.org/10.6018/eglobal.411601.
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ORIGINAL RESEARCH