Effects of m-Health interventions on physical activity level and sedentary behavior in pre-hypertensive and hypertensive individuals: a systematic review
DOI:
https://doi.org/10.33448/rsd-v11i5.27483Keywords:
Hypertension; Mobile applications; Sedentary behavior.Abstract
This study aims to identify the effects of m-Health interventions on physical activity (PA) level and sedentary behavior (SB) in pre-hypertensive and hypertensive adults. Therefore, a systematic literature search was conducted according to the guidelines defined by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), in the scientific databases Web Of Science, MEDLINE/PubMed, SciELO, Scopus, and ACM Digital Library. Eligibility criteria were: clinical trials; description of the functionalities of m-Health apps (reminders, goals, wearables); description of the intervention characteristics (i.e., duration, expertise of professionals involved in the supervision, and others) and blood pressure assessment. In the end, 1447 studies were identified, of which 147 were duplicates. Through the screening by titles and abstracts, 43 studies were classified as relevant. However, only 12 studies met the eligibility criteria and were included in this systematic review. Most studies presented favorable results with the use of m-Health apps to increase PA and reduce SB. In addition, increasing PA and reducing SB might be an important non-pharmacological therapy to decrease blood pressure in hypertensive patients, when they follow the minimum recommendations proposed by the PA guidelines of the World Health Organization (WHO). However, further studies are still needed to assess the relationship between SB, PA and the use of m-Health interventions.
References
Alessa, T., Abdi, S., Hawley, M. S., & Witte, L. de. (2018). Mobile apps to support the self-management of hypertension: Systematic review of effectiveness, usability, and user satisfaction. In Journal of Medical Internet Research, 20(7), e10723. JMIR Publications Inc. https://doi.org/10.2196/10723
Alessa, T., Hawley, M. S., Hock, E. S., & de Witte, L. (2019). Smartphone Apps to Support Self-Management of Hypertension: Review and Content Analysis. JMIR mHealth and uHealth, 7(5), e13645. https://doi.org/10.2196/13645
Bakris, G., Ali, W., & Parati, G. (2019). Diretrizes da hipertensão arterial: ACC/AHA vs. ESC/ESH. Comparação de diretrizes no JACC. JACC. Ediçao em potugués , 01(08), 59–67. http://jacc.elsevier.pt/pt-diretrizes-da-hipertensao-arterial-acc-aha-articulo-XY735109719000980
Biswas, A., Oh, P. I., Faulkner, G. E., Bajaj, R. R., Silver, M. A., Mitchell, M. S., & Alter, D. A. (2015). Sedentary time and its association with risk for disease incidence, mortality, and hospitalization in adults a systematic review and meta-analysis. In Annals of Internal Medicine. 162(2), 123–132. https://doi.org/10.7326/M14-1651
Carson, V., Hunter, S., Kuzik, N., Gray, C. E., Poitras, V. J., Chaput, J. P., Saunders, T. J., Katzmarzyk, P. T., Okely, A. D., Connor Gorber, S., Kho, M. E., Sampson, M., Lee, H., & Tremblay, M. S. (2016). Systematic review of sedentary behaviour and health indicators in school-aged children and youth: An update. In Applied Physiology, Nutrition and Metabolism 41(6), S240–S265. https://doi.org/10.1139/apnm-2015-0630
Cho, S. M. J., Lee, J. H., Shim, J. S., Yeom, H., Lee, S. J., Jeon, Y. W., & Kim, H. C. (2020). Effect of smartphone-based lifestyle coaching app on community-dwelling population with moderate metabolic abnormalities: Randomized controlled trial. Journal of Medical Internet Research, 22(10). https://doi.org/10.2196/17435
Cobo-Mejía, E. A., Prieto-Peralta, M., & Sandoval-Cuellar, C. (2016). Efectos de la actividad física en la calidad de vida relacionada con la salud en adultos con hipertensión arterial sistémica: revisión sistemática y metaanálisis. Rehabilitacion, 50(3), 139–149. https://doi.org/10.1016/j.rh.2015.12.004
Debon, R., Coleone, J. D., Bellei, E. A., & De Marchi, A. C. B. (2019). Mobile health applications for chronic diseases: A systematic review of features for lifestyle improvement. In Diabetes and Metabolic Syndrome: Clinical Research and Reviews. 13(4), 2507–2512. https://doi.org/10.1016/j.dsx.2019.07.016
Donahue, R. P., Stranges, S., Rafalson, L., Dmochowski, J., Dorn, J., & Trevisan, M. (2014). Risk factors for prehypertension in the community: A prospective analysis from the Western New York Health Study. Nutrition, Metabolism and Cardiovascular Diseases, 24(2), 162–167. https://doi.org/10.1016/j.numecd.2013.06.006
Dorough, A. E., Winett, R. A., Anderson, E. S., Davy, B. M., Martin, E. C., & Hedrick, V. (2014a). DASH to wellness: Emphasizing self-regulation through E-health in adults with prehypertension. Health Psychology, 33(3), 249–254. https://doi.org/10.1037/a0030483
Dorough, A. E., Winett, R. A., Anderson, E. S., Davy, B. M., Martin, E. C., & Hedrick, V. (2014b). DASH to wellness: Emphasizing self-regulation through E-health in adults with prehypertension. Health Psychology, 33(3), 249–254. https://doi.org/10.1037/a0030483
Santos, R. Z., Bundchen, D. C., Amboni, R., dos Santos, M. B., Ghisi, G. L. de M., Herdy, A. H., & Benetti, M. (2015). Treinamento aeróbio intenso promove redução da pressão arterial em hipertensos. Revista Brasileira de Medicina do Esporte, 21(4), 292–296. https://doi.org/10.1590/1517-869220152104139357
Ekelund, U., Steene-Johannessen, J., Brown, W. J., Fagerland, M. W., Owen, N., Powell, K. E., Bauman, A., Lee, I. M., Ding, D., Heath, G., Hallal, P. C., Kohl, H. W., Pratt, M., Reis, R., Sallis, J., Aadahl, M., Blot, W. J., Chey, T., Deka, A., & Yi-Park, S. (2016). Does physical activity attenuate, or even eliminate, the detrimental association of sitting time with mortality? A harmonised meta-analysis of data from more than 1 million men and women. The Lancet, 388(10051), 1302–1310. https://doi.org/10.1016/S0140-6736(16)30370-1
Fiordelli, M., Diviani, N., & Schulz, P. J. (2013). Mapping mhealth research: A decade of evolution. In Journal of Medical Internet Research (Vol. 15, Número 5). J Med Internet Res. https://doi.org/10.2196/jmir.2430
Franklin, S. S., Larson, M. G., Khan, S. A., Wong, N. D., Leip, E. P., Kannel, W. B., & Levy, D. (2001). Does the relation of blood pressure to coronary heart disease risk change with aging?: The Framingham Heart Study. Circulation, 103(9), 1245–1249. https://doi.org/10.1161/01.CIR.103.9.1245
Freene, N., van Berlo, S., McManus, M., Mair, T., & Davey, R. (2020). A behavioral change smartphone app and program (ToDo-CR) to decrease sedentary behavior in cardiac rehabilitation participants: Prospective feasibility cohort study. JMIR Formative Research, 4(11). https://doi.org/10.2196/17359
Gandapur, Y., Kianoush, S., Kelli, H. M., Misra, S., Urrea, B., Blaha, M. J., Graham, G., Marvel, F. A., & Martin, S. S. (2016). The role of mHealth for improving medication adherence in patients with cardiovascular disease: A systematic review. In European Heart Journal - Quality of Care and Clinical Outcomes (Vol. 2, Número 4, p. 237–244). Oxford University Press. https://doi.org/10.1093/ehjqcco/qcw018
Hamari, J., Shernoff, D. J., Rowe, E., Coller, B., Asbell-Clarke, J., & Edwards, T. (2016). Challenging games help students learn: An empirical study on engagement, flow and immersion in game-based learning. Computers in Human Behavior, 54, 170–179. https://doi.org/10.1016/j.chb.2015.07.045
Jahan, Y., Moriyama, M., Rahman, M., Kazawa, K., Rahman, A., Shahid, A. S. M. S. Bin, Das, S. K., Faruque, A., & Chisti, M. J. (2020). Increasing awareness and use of mobile health technology among individuals with hypertension in a rural community of Bangladesh: Protocol for a randomized controlled trial. JMIR Research Protocols, 9(8). https://doi.org/10.2196/15523
Jahan, Y., Rahman, M. M., Faruque, A. S. G., Chisti, M. J., Kazawa, K., Matsuyama, R., & Moriyama, M. (2020). Awareness Development and Usage of Mobile Health Technology among Hypertensive Individuals in a Rural Community of Bangladesh: A Randomized Controlled Trial (Preprint). Journal of Medical Internet Research. https://doi.org/10.2196/19137
Kim, J. Y., Wineinger, N. E., & Steinhubl, S. R. (2016a). The influence of wireless self-monitoring program on the relationship between patient activation and health behaviors, medication adherence, and blood pressure levels in hypertensive patients:a substudy of a randomized controlled trial. Journal of Medical Internet Research, 18(6). https://doi.org/10.2196/jmir.5429
Kim, J. Y., Wineinger, N. E., & Steinhubl, S. R. (2016b). The influence of wireless self-monitoring program on the relationship between patient activation and health behaviors, medication adherence, and blood pressure levels in hypertensive patients:a substudy of a randomized controlled trial. Journal of Medical Internet Research, 18(6). https://doi.org/10.2196/jmir.5429
Kitt, J., Fox, R., Tucker, K. L., & McManus, R. J. (2019). New Approaches in Hypertension Management: a Review of Current and Developing Technologies and Their Potential Impact on Hypertension Care. In Current Hypertension Reports (Vol. 21, Número 6). Current Medicine Group LLC 1. https://doi.org/10.1007/s11906-019-0949-4
Liu, S., Tanaka, R., Barr, S., & Nolan, R. P. (2020). Effects of self-guided e-counseling on health behaviors and blood pressure: Results of a randomized trial. Patient Education and Counseling, 103(3), 635–641. https://doi.org/10.1016/j.pec.2019.10.007
Liu, Y., Chen, W., Yang, Y., Chen, Y., & Tang, S. (2020). Exposure to electronic screen before nocturnal sleep increases the risk of hypertensive disorders of pregnancy: A case–control study. Journal of Obstetrics and Gynaecology Research. https://doi.org/10.1111/jog.14588
Lv, N., Xiao, L., Simmons, M. L., Rosas, L. G., Chan, A., & Entwistle, M. (2017). Personalized Hypertension Management Using Patient-Generated Health Data Integrated With Electronic Health Records (EMPOWER-H): Six-Month Pre-Post Study. Journal of Medical Internet Research, 19(9). https://doi.org/10.2196/jmir.7831
Mainsbridge, C., Ahuja, K., Williams, A., Bird, M. L., Cooley, D., & Pedersen, S. J. (2018). Blood pressure response to interrupting workplace sitting time with non-exercise physical activity results of a 12-month cohort study. Journal of Occupational and Environmental Medicine, 60(9), 769–774. https://doi.org/10.1097/JOM.0000000000001377
Mazón, P., Marín, F., Cosín-Sales, J., Cordero, A., Roldán, I., García-Moll, X., Suárez, C., Coca, A., Escobar, C., Barrios, V., Vidal, R., Díez-Villanueva, P., Bonanad, C., Esteban, A., Zuazola, P., Bertomeu, V., Abeytua, M., Alfonso, F., Ibáñez, B., … Viana-Tejedor, A. (2019). Comments on the 2018 ESC/ESH Guidelines for the Management of Arterial Hypertension. In Revista espanola de cardiologia (English ed.) (Vol. 72, Número 2, p. 104–108). NLM (Medline). https://doi.org/10.1016/j.rec.2018.12.001
Okura, T., Enomoto, D., Miyoshi, K. I., Nagao, T., Kukida, M., Tanino, A., Pei, Z., Higaki, J., & Uemura, H. (2016a). The Importance of Walking for Control of Blood Pressure: Proof Using a Telemedicine System. Telemedicine and e-Health, 22(12), 1019–1023. https://doi.org/10.1089/tmj.2016.0008
Okura, T., Enomoto, D., Miyoshi, K. I., Nagao, T., Kukida, M., Tanino, A., Pei, Z., Higaki, J., & Uemura, H. (2016b). The Importance of Walking for Control of Blood Pressure: Proof Using a Telemedicine System. Telemedicine and e-Health, 22(12), 1019–1023. https://doi.org/10.1089/tmj.2016.0008
Perrier-Melo, R. J., Costa, E. C., Farah, B. Q., & Costa, M. da C. (2020). Acute effect of interval vs. Continuous exercise on blood pressure: Systematic review and meta-analysis. Arquivos Brasileiros de Cardiologia, 115(1), 5–14. https://doi.org/10.36660/abc.20190107
Persell, S. D., Peprah, Y. A., Lipiszko, D., Lee, J. Y., Li, J. J., Ciolino, J. D., Karmali, K. N., & Sato, H. (2020). Effect of Home Blood Pressure Monitoring via a Smartphone Hypertension Coaching Application or Tracking Application on Adults With Uncontrolled Hypertension: A Randomized Clinical Trial. JAMA network open, 3(3), e200255. https://doi.org/10.1001/jamanetworkopen.2020.0255
Petrella, R. J., Stuckey, M. I., Shapiro, S., & Gill, D. P. (2014a). Mobile health, exercise and metabolic risk: a randomized controlled trial. BMC PUBLIC HEALTH, 14. https://doi.org/10.1186/1471-2458-14-1082
Petrella, R. J., Stuckey, M. I., Shapiro, S., & Gill, D. P. (2014b). Mobile health, exercise and metabolic risk: A randomized controlled trial. BMC Public Health, 14(1). https://doi.org/10.1186/1471-2458-14-1082
Prisma Transparent Reporting of Systematic Reviews and Meta-Analyses, 2019. http://www.prisma-statement.org/
Rubinstein, A., Miranda, J. J., Beratarrechea, A., Diez-Canseco, F., Kanter, R., Gutierrez, L., Bernabé-Ortiz, A., Irazola, V., Fernandez, A., Letona, P., Martínez, H., Ramirez-Zea, M., Alasino, A. A., Cuesta, L. L., Moscoso, B. N. B., Surichaqui, J. E., Estrada, L. P., Ramírez, C. M., de la Cruz, G. R., … Urtasún, M. (2016). Effectiveness of an mHealth intervention to improve the cardiometabolic profile of people with prehypertension in low-resource urban settings in Latin America: A randomised controlled trial. The Lancet Diabetes and Endocrinology, 4(1), 52–63. https://doi.org/10.1016/S2213-8587(15)00381-2
Saco-Ledo, G., Valenzuela, P. L., Ruiz-Hurtado, G., Ruilope, L. M., & Lucia, A. (2020). Exercise Reduces Ambulatory Blood Pressure in Patients With Hypertension: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Journal of the American Heart Association, 9(24), e018487. https://doi.org/10.1161/JAHA.120.018487
Senarath, U., Katulanda, P., Fernando, D. N., Kalupahana, N. S., Partheepan, K., Jayawardena, R., Katulanda, G., & Dibley, M. J. (2019). mHealth nutrition and lifestyle intervention (mHENAL) to reduce cardiovascular disease risk in a middle-aged, overweight and obese population in Sri Lanka: Study protocol for a randomized controlled trial. Contemporary Clinical Trials Communications, 16, 100453. https://doi.org/10.1016/j.conctc.2019.100453
Sharma, A., Mentz, R. J., Granger, B. B., Heitner, J. F., Cooper, L. B., Banerjee, D., Green, C. L., Majumdar, M. D., Eapen, Z., Hudson, L., & Felker, G. M. (2019). Utilizing mobile technologies to improve physical activity and medication adherence in patients with heart failure and diabetes mellitus: Rationale and design of the TARGET-HF-DM Trial. American Heart Journal, 211, 22–33. https://doi.org/10.1016/j.ahj.2019.01.007
Singh, J., & Keer, N. (2020). Overview of Telemedicine and Sleep Disorders. In Sleep Medicine Clinics 15(3), 341–346. https://doi.org/10.1016/j.jsmc.2020.05.005
Staffileno, B. A., Tangney, C. C., & Fogg, L. (2018a). Favorable Outcomes Using an eHealth Approach to Promote Physical Activity and Nutrition among Young African American Women. Journal of Cardiovascular Nursing, 33(1), 62–71. https://doi.org/10.1097/JCN.0000000000000409
Staffileno, B. A., Tangney, C. C., & Fogg, L. (2018b). Favorable Outcomes Using an eHealth Approach to Promote Physical Activity and Nutrition among Young African American Women. Journal of Cardiovascular Nursing, 33(1), 62–71. https://doi.org/10.1097/JCN.0000000000000409
Veiga, J., Rodriguez, J. P., Trevisan, B., Rebonatto, M. T., & De Marchi, A. C. B. (2017). Aplicações móveis com interação médico-paciente para um estilo de vida saudável : uma revisão sistemática Mobile application providing doctor-patient interaction for healthy lifestyle : a systematic review Aplicaciones móviles conteniendo la interacción m. RECIIS – Rev Eletron Comun Inf Inov Saúde, 11(1), 1–9.
WHO. (2015). Physical activity strategy for the WHO European Region 2016-2025. Organización Mundial de la Salud, 1.
WHO. (2020). WHO Guidelines on physical activity and sedentary behaviour. In World Health Organization. https://apps.who.int/iris/bitstream/handle/10665/325147/WHO-NMH-PND-2019.4-eng.pdf?sequence=1&isAllowed=y%0Ahttp://www.who.int/iris/handle/10665/311664%0Ahttps://apps.who.int/iris/handle/10665/325147
Yerrakalva, D., Yerrakalva, D., Hajna, S., & Griffin, S. (2019). Effects of mobile health app interventions on sedentary time, physical activity, and fitness in older adults: Systematic review and meta-analysis. In Journal of Medical Internet Research. 21(11). https://doi.org/10.2196/14343
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