Impact of Mobile Applications on Improving Healthy Lifestyle of Patients with Metabolic Syndrome: A Systematic Review
DOI:
https://doi.org/10.21776/ub.ijhn.2023.010.02.8Keywords:
Mobile Application, Metabolic Syndrome, Lifestyle, Self-ManagementAbstract
Metabolic syndrome (MetS) generally occurs in adults and becomes more prevalent with age. Most e-health tools are often described as web-based platforms or applications designed for the general public, rather than specifically for MetS patients. Mobile applications, however, have great potential in providing internet-based health education and supporting the self-management of MetS patients, particularly in diet management and physical activity. This study aimed to synthesize the findings on the impact of mobile app interventions in enhancing self-management practices among MetS patients. A comprehensive literature search covering the years 2019 to 2023 was conducted across Science Direct, ProQuest, and PubMed databases. From 16,628 articles analyzed, 11 were selected for review. The interventions were categorized into short-term (> 12 months) and long-term (≥ 12 months). Eleven mobile applications were identified. These applications were primarily free and designed to facilitate the management of diet and physical activity. The study observed significant changes in the components of metabolic syndrome, including weight, blood pressure, waist circumference, body mass index, fasting blood sugar, triglycerides, and High-Density Lipoprotein cholesterol. Furthermore, these mobile applications demonstrated a positive impact on the lifestyle of MetS patients, influencing factors such as eating behavior, physical activity, self-efficacy, sleep quality, and sleep duration.
References
Guseman EH, Eisenmann JC, Laurson KR, Cook SR, Stratbucker W. Calculating a Continuous Metabolic Syndrome Score Using Nationally Representative Reference Values. Acad Pediatr [Internet]. 2018;18(5):1–16. Available from: https://doi.org/10.1016/j.acap.2018.02.011
Das Merces MC, Santana AIC, Lua I, da Silva DAR, E Silva D de S, Gomes AMT, et al. Metabolic syndrome among primary health care nursing professionals: A cross-sectional population-based study. Int J Environ Res Public Health. 2019;16(15):1–13. Available from: https://doi.org/10.3390/ijerph16152686
Haufe S, Kerling A, Protte G, Bayerle P, Stenner HT, Rolff S, et al. Telemonitoring-supported exercise training, metabolic syndrome severity, and work ability in company employees: a randomised controlled trial. Lancet Public Health. 2019;4(7):e343–52. Available from: https://doi.org/10.1016/S2468-2667(19)30075-1
Rojas E, Castro A, Manzano A, Suárez MK, Lameda V, Carrasquero R, et al. Diagnostic criteria and management of metabolic syndrome: Evolution overtime. Gac Med Caracas. 2021;128(4):480–504. Available from: https://doi.org/10.47307/GMC.2020.128.4.5
Sequi-Dominguez I, Alvarez-Bueno C, Martinez-Vizcaino V, Fernandez-Rodriguez R, Lara A del S, Cavero-Redondo I. Effectiveness of Mobile Health Interventions Promoting Physical Activity and Lifestyle Interventions to Reduce Cardiovascular Risk Among Individuals With Metabolic Syndrome: Systematic Review and Meta-Analysis. J Med Internet Res. 2020;22(8):1–17. Available from: https://doi.org/10.2196/17790
Zhang Y, Guo X, Zhang N, Yan X, Li M, Zhou M, et al. Effect of mobile-based lifestyle intervention on body weight, glucose and lipid metabolism among the overweight and obese elderly population in china: A randomized controlled trial protocol. Int J Environ Res Public Health. 2021;18(9):1–11. Available from: https://doi.org/10.3390/ijerph18094854
Wong EML, Leung DYP, Tam HL, Wang Q, Yeung KW, Leung AYM. The effect of a lifestyle intervention program using a mobile application for adults with metabolic syndrome, versus the effect of a program using a booklet: A pilot randomized controlled trial. Clin Interv Aging. 2021;16:633–44. Available from: https://doi.org/10.2147/CIA.S303920
Iyengar K, Upadhyaya GK, Vaishya R, Jain V. COVID-19 and applications of smartphone technology in the current pandemic. Diabetes Metab Syndr Clin Res Rev [Internet]. 2020;14(5):733–7. Available from: https://doi.org/10.1016/j.dsx.2020.05.033
Wong EML, Leung DYP, Wang Q, Leung AYM. A nurse—led lifestyle intervention using mobile application versus booklet for adults with metabolic syndrome—Protocol for a randomized controlled trial. J Adv Nurs. 2020;76(1):364–72. Available from: https://doi.org/10.1111/jan.14241
Ghelani DP, Moran LJ, Johnson C, Mousa A, Naderpoor N. Mobile Apps for Weight Management: A Review of the Latest Evidence to Inform Practice. Front Endocrinol (Lausanne). 2020;11(June):1–12. Available from: https://doi.org/10.3389/fendo.2020.00412
Kan YC, Chen KH, Lin HC. Developing a ubiquitous health management system with healthy diet control for metabolic syndrome healthcare in Taiwan. Comput Methods Programs Biomed [Internet]. 2017;144(2017):37–48. Available from: http://dx.doi.org/10.1016/j.cmpb.2017.02.027
Kim JS, Kim M, Seo Y. User evaluation of a mobile education application for management of metabolic syndrome among cancer survivors. Eur J Oncol Nurs [Internet]. 2023 Feb 10 [cited 2023 Feb 12];63(102276):1–7. Available from: https://doi.org/10.1016/J.EJON.2023.102276
Matsuhisa T, Fujie R, Masukawa R, Nakamura N, Mori N, Ito K, et al. Impact of a Mindfulness Mobile Application on Weight Loss and Eating Behavior in People with Metabolic Syndrome: A Pilot Randomized Controlled Trial. Int J Behav Med [Internet]. 2023;(0123456789):1–13. Available from: https://doi.org/10.1007/s12529-023-10173-2
Sharma AK, Baig VN, Ahuja J, Sharma S, Panwar RB, Katoch VM, et al. Efficacy of IVRS-based mHealth intervention in reducing cardiovascular risk in metabolic syndrome: A cluster randomized trial. Diabetes Metab Syndr Clin Res Rev [Internet]. 2021;15(5):1–8. Available from: https://doi.org/10.1016/j.dsx.2021.06.019
Bae CY, Kim BS, Cho KH, Kim JH, Kim IH, Kim JH. Effects of Customized Digital Health Care Service on Metabolic Syndrome Status and Lifestyle Using a Health Care App: Clinical Trial. JMIR Form Res. 2023;7(e41427):1–9. Available from: https://doi.org/10.2196/41427
Huh U, Tak YJ, Song S, Chung SW, Sung SM, Lee CW, et al. Feedback on physical activity through a wearable device connected to a mobile phone app in patients with metabolic syndrome: Pilot study. JMIR mHealth uHealth. 2019;7(6):1–15. Available from: https://doi.org/10.2196/13381
Wong EML, Tam HL, Leung AYM, Cheung ASP, Cheung KC, Leung DYP. Impacts of Educational Interventions with Support of Mobile App versus Booklet for Patients with Hypertension and Metabolic Syndrome: A Secondary Data Analysis. Int J Environ Res Public Health. 2022;19(12591):1–10. Available from: https://doi.org/10.3390/ijerph191912591
Kim HJ, Lee KH, Lee JH, Youk H, Lee HY. The Effect of a Mobile and Wearable Device Intervention on Increased Physical Activity to Prevent Metabolic Syndrome: Observational Study. JMIR mHealth uHealth. 2022;10(2):1–12. Available from: https://doi.org/10.2196/34059
Daud MH, Ramli AS, Abdul-Razak S, Isa MR, Yusoff FH, Baharudin N, et al. The EMPOWER-SUSTAIN e-Health Intervention to improve patient activation and self-management behaviours among individuals with Metabolic Syndrome in primary care: Study protocol for a pilot randomised controlled trial. Trials. 2020;21(311):1–16. Available from: https://doi.org/10.1186/s13063-020-04237-x
Lee JS, Kang MA, Lee SK. Effects of the e-motivate4change program on metabolic syndrome in young adults using health apps and wearable devices: Quasi-experimental study. J Med Internet Res. 2020;22(7):1–14. Available from: https://doi.org/10.2196/17031
Lee JH, Lee KH, Kim HJ, Youk H, Lee HY. Effective Prevention and Management Tools for Metabolic Syndrome Based on Digital Health-Based Lifestyle Interventions Using Healthcare Devices. Diagnostics. 2022;12(7):1–12. Available from: https://doi.org/10.3390/diagnostics12071730
Ju HR, Kang EK, Kim YI, Ko HY, Cho B. The Effectiveness of a Mobile Health Care App and Human Coaching Program in Primary Care Clinics: Pilot Multicenter Real-World Study. JMIR mHealth uHealth. 2022;10(5):1–11. Available from: https://doi.org/10.2196/34531
Zheng X, Yu H, Qiu X, Chair SY, Wong EML, Wang Q. The effects of a nurse-led lifestyle intervention program on cardiovascular risk, self-efficacy and health promoting behaviours among patients with metabolic syndrome: Randomized controlled trial. Int J Nurs Stud [Internet]. 2020;109:1–9. Available from: https://doi.org/10.1016/j.ijnurstu.2020.103638
Lear SA, Gasevic D. Ethnicity and metabolic syndrome: Implications for assessment, management and prevention. Nutrients. 2020;12(1):1–16. Available from: https://doi.org/10.3390/nu12010015
Pérez-Martínez P, Mikhailidis DP, Athyros VG, Bullo M, Couture P, Covas MI, et al. Lifestyle recommendations for the prevention and management of metabolic syndrome: An international panel recommendation. Nutr Rev. 2017;75(5):307–26. Available from: https://doi.org/10.1093/nutrit/nux014
Chang SH, Chang YY, Wu LY. Gender differences in lifestyle and risk factors of metabolic syndrome: Do women have better health habits than men? J Clin Nurs. 2019;28(11–12):2225–34. Available from: https://doi.org/10.1111/jocn.14824
Daud MH, Yusoff FH, Ramli AS. The Effect of Mobile Health (mHealth) Interventions on Clinical Outcomes and Self-Management Behaviours in Individuals with Metabolic Syndrome : A Narrative Review of Evidence. J Clin Heal Sci. 2023;8(1):6–33. Available from: https://doi.org/10.24191/jchs.v8i1.21452
Cho SMJ, Lee JH, Shim JS, Yeom H, Lee SJ, Jeon YW, et al. Effect of smartphone-based lifestyle coaching app on community-dwelling population with moderate metabolic abnormalities: Randomized controlled trial. J Med Internet Res. 2020;22(10):1–13. Available from: https://doi.org/10.2196/17435
Akbari M, Lankarani KB, Naghibzadeh-Tahami A, Tabrizi R, Honarvar B, Kolahdooz F, et al. The effects of mobile health interventions on lipid profiles among patients with metabolic syndrome and related disorders: A systematic review and meta-analysis of randomized controlled trials. Diabetes Metab Syndr Clin Res Rev [Internet]. 2019;13(3):1949–55. Available from: https://doi.org/10.1016/j.dsx.2019.04.011
Zhao J, Freeman B, Li M. Can mobile phone apps influence people's health behavior change? An evidence review. J Med Internet Res. 2016;18(11):1–12. Available from: https://doi.org/10.2196/jmir.5692
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