Digital Health Promotion For Non-Communicable Disease Prevention Among Working-Age Adults: A Literature Review

Tukiman

doi:10.62027/vitamedica.v4i3.888

Authors

Tukiman Universitas Sumatera Utara

DOI:

https://doi.org/10.62027/vitamedica.v4i3.888

Keywords:

behaviour change, digital health promotion, mHealth, non-communicable diseases, working-age adults

Abstract

Non-communicable diseases (NCDs) are the leading cause of global mortality, and behavioural risk factors including physical inactivity, unhealthy diet, tobacco use, and harmful alcohol consumption are highly prevalent among working-age adults. Digital health promotion has emerged as a scalable strategy to address these risks, but the evidence base is heterogeneous. This literature review aimed to synthesize evidence on digital health promotion strategies for the prevention of NCDs among working-age adults, including intervention approaches, behavioural and health outcomes, implementation characteristics, and research gaps. A structured search was conducted in PubMed, Scopus, Web of Science, and ScienceDirect, complemented by Google Scholar, focusing on peer-reviewed articles published between 2021 and 2026. Findings indicate that mobile health applications, wearable activity trackers, text-messaging platforms, social-media campaigns, and telehealth-supported programmes are the most frequently deployed modalities. Digital interventions produced small-to-moderate improvements in physical activity, dietary quality, weight, glycaemic control, and short-term smoking abstinence, particularly when they incorporated behaviour-change techniques such as goal setting, self-monitoring, feedback, and social support. Effectiveness was moderated by engagement, adherence, and digital health literacy, while sustainability and equity remained key concerns. Digital health promotion offers a promising complement to conventional strategies for NCD prevention among working-age adults, and future research should prioritize long-term outcomes, equity, and integration into workplace and primary-care settings.

References

Abdul Aziz, A. F., & Ong, T. (2024). Real-world outcomes of a digital behavioral coaching intervention to improve employee health status: Retrospective observational study. JMIR Formative Research, 8, e50356. https://doi.org/10.2196/50356

Alam, S., Zhang, M., Harris, K., Fletcher, L. M., & Reneker, J. C. (2023). The impact of consumer wearable devices on physical activity and adherence to physical activity in patients with cardiovascular disease: A systematic review of systematic reviews and meta-analyses. Telemedicine and e-Health, 29(7), 986–1000. https://doi.org/10.1089/tmj.2022.0280

Arias López, M. del P., Ong, B. A., Borrat Frigola, X., Fernández, A. L., Hicklent, R. S., Obeles, A. J. T., Rocimo, A. M., & Celi, L. A. (2023). Digital literacy as a new determinant of health: A scoping review. PLOS Digital Health, 2(10), e0000279. https://doi.org/10.1371/journal.pdig.0000279

Bandura, A. (2004). Health promotion by social cognitive means. Health Education & Behavior, 31(2), 143–164. https://doi.org/10.1177/1090198104263660

Burton, J. (2010). WHO Healthy Workplace Framework and Model: Background and Supporting Literature and Practices. World Health Organization.

Cannon, M. J., Masalovich, S., Ng, B. P., Soler, R. E., Jabrah, R., Ely, E. K., & Smith, B. D. (2023). Retention among participants in the National Diabetes Prevention Program lifestyle change program, 2012–2017. Diabetes Care, 43(9), 2042–2049. https://doi.org/10.2337/dc19-2366

Chen, L., Jang, F., Li, M., Zong, W., & Yu, H. (2025). Effectiveness of mHealth-based gamified interventions on physical activity in older adults: Systematic review. Journal of Medical Internet Research, 27, e78686. https://doi.org/10.2196/78686

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008

Deslippe, A. L., Soanes, A., Bouchaud, C. C., Beckenstein, H., Slim, M., Plourde, H., & Cohen, T. R. (2023). Barriers and facilitators to diet, physical activity and lifestyle behavior intervention adherence: A qualitative systematic review of the literature. International Journal of Behavioral Nutrition and Physical Activity, 20(1), 14. https://doi.org/10.1186/s12966-023-01424-2

Fang, Y. Y., Ni, J. C., Wang, Y. J., Yu, J. H., & Fu, L. L. (2023). The effectiveness of smartphone app–based interventions for assisting smoking cessation: Systematic review and meta-analysis. Journal of Medical Internet Research, 25, e43242. https://doi.org/10.2196/43242

Ferguson, T., Olds, T., Curtis, R., Blake, H., Crozier, A. J., Dankiw, K., Dumuid, D., Kasai, D., O'Connor, E., Virgara, R., & Maher, C. (2022). Effectiveness of wearable activity trackers to increase physical activity and improve health: A systematic review of systematic reviews and meta-analyses. The Lancet Digital Health, 4(8), e615–e626. https://doi.org/10.1016/S2589-7500(22)00111-X

Ghahramani, A., de Courten, M., & Prokofieva, M. (2022). The potential of social media in health promotion beyond creating awareness: An integrative review. BMC Public Health, 22(1), 2402. https://doi.org/10.1186/s12889-022-14885-0

Jung, J., & Cho, I. (2022). Promoting physical activity and weight loss with mHealth interventions among workers: Systematic review and meta-analysis of randomized controlled trials. JMIR mHealth and uHealth, 10(1), e30682. https://doi.org/10.2196/30682

Kaner, E. F., Beyer, F. R., Garnett, C., Crane, D., Brown, J., Muirhead, C., Redmore, J., O'Donnell, A., Newham, J. J., de Vocht, F., Hickman, M., Brown, H., Maniatopoulos, G., & Michie, S. (2017). Personalised digital interventions for reducing hazardous and harmful alcohol consumption in community-dwelling populations. Cochrane Database of Systematic Reviews, 9, CD011479. https://doi.org/10.1002/14651858.CD011479.pub2

Kementerian Kesehatan Republik Indonesia. (2019). Laporan Nasional Riskesdas 2018. Badan Penelitian dan Pengembangan Kesehatan.

Kite, J., Chan, L., MacKay, K., Corbett, L., Reyes-Marcelino, G., Nguyen, B., Bellew, W., & Freeman, B. (2023). A model of social media effects in public health communication campaigns: Systematic review. Journal of Medical Internet Research, 25, e46345. https://doi.org/10.2196/46345

Mair, J. L., Salamanca-Sanabria, A., Augsburger, M., Frese, B. F., Abend, S., Jakob, R., Kowatsch, T., & Haug, S. (2023). Effective behavior change techniques in digital health interventions for the prevention or management of noncommunicable diseases: An umbrella review. Annals of Behavioral Medicine, 57(10), 817–835. https://doi.org/10.1093/abm/kaad041

Michie, S., Richardson, M., Johnston, M., Abraham, C., Francis, J., Hardeman, W., Eccles, M. P., Cane, J., & Wood, C. E. (2013). The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: Building an international consensus for the reporting of behavior change interventions. Annals of Behavioral Medicine, 46(1), 81–95. https://doi.org/10.1007/s12160-013-9486-6

Milne-Ives, M., Lam, C., De Cock, C., Van Velthoven, M. H., & Meinert, E. (2020). Mobile apps for health behavior change in physical activity, diet, drug and alcohol use, and mental health: Systematic review. JMIR mHealth and uHealth, 8(3), e17046. https://doi.org/10.2196/17046

Norman, C. D., & Skinner, H. A. (2006). eHealth literacy: Essential skills for consumer health in a networked world. Journal of Medical Internet Research, 8(2), e9. https://doi.org/10.2196/jmir.8.2.e9

Nyberg, S. T., Singh-Manoux, A., Pentti, J., Madsen, I. E. H., Sabia, S., Alfredsson, L., Bjorner, J. B., Borritz, M., Burr, H., Goldberg, M., Heikkilä, K., Jokela, M., Knutsson, A., Lallukka, T., Lindbohm, J. V., Nielsen, M. L., Nordin, M., Oksanen, T., Pejtersen, J. H., … Kivimäki, M. (2020). Association of healthy lifestyle with years lived without major chronic diseases. JAMA Internal Medicine, 180(5), 760–768. https://doi.org/10.1001/jamainternmed.2020.0618

Rossi, M. C., Lucisano, G., Pintaudi, B., Bulotta, A., Gentile, S., Scardapane, M., Skovlund, S. E., Vespasiani, G., & Nicolucci, A. (2024). The impact of telemedicine on the management of type 2 diabetes: A systematic review and meta-analysis. Diabetes Research and Clinical Practice, 210, 111570. https://doi.org/10.1016/j.diabres.2024.111570

Seffah, K., Zaman, M. A., Awais, N., Satnarine, T., Haq, A., Hernandez, G. N., & Khan, S. (2023). Exploring the role of wearable electronic medical devices in improving cardiovascular risk factors and outcomes among adults: A systematic review. Cureus, 15(3), e36754. https://doi.org/10.7759/cureus.36754

Shaluhiyah, Z., Qatrannada, S. A., Kusumawati, A., & Miah, M. S. (2025). The effect of digital health intervention in promoting healthy behavior: A systematic scoping review on strategies to prevent non-communicable diseases. Dialogues in Health, 6, 100258. https://doi.org/10.1016/j.dialog.2025.100258

Singh, B., Ahmed, M., Staiano, A. E., Gough, C., Petersen, J., Vandelanotte, C., Kracht, C., Huong, C., Yin, Z., Vasiloglou, M. F., Pfisterer, K. J., Baumann, H., Gao, Z., DeSmet, A., Chandrabose, M., Sivakumar, B., Ojo, T., Yang, Y.-Y., Pope, Z., … Maher, C. (2024). A systematic umbrella review and meta-meta-analysis of eHealth and mHealth interventions for improving lifestyle behaviours. npj Digital Medicine, 7, 179. https://doi.org/10.1038/s41746-024-01172-y

Southwell, B. G., Otero Machuca, J., Cherry, S. T., Burnside, M., & Barrett, N. J. (2023). Health misinformation exposure and health disparities: Observations and opportunities. Annual Review of Public Health, 44, 113–130. https://doi.org/10.1146/annurev-publhealth-071321-031118

Strain, T., Flaxman, S., Guthold, R., Semenova, E., Cowan, M., Riley, L. M., Bull, F. C., & Stevens, G. A. (2024). National, regional, and global trends in insufficient physical activity among adults from 2000 to 2022: A pooled analysis of 507 population-based surveys with 5.7 million participants. The Lancet Global Health, 12(8), e1232–e1243. https://doi.org/10.1016/S2214-109X(24)00150-5

Sun, C., Malcolm, J. C., Wong, B., Shorr, R., & Doyle, M.-A. (2023). Improving glycemic control in adults and children with type 1 diabetes with the use of smartphone-based mobile applications: A systematic review. Canadian Journal of Diabetes, 47(2), 156–166.e5. https://doi.org/10.1016/j.jcjd.2022.11.003

World Health Organization. (2021). Global strategy on digital health 2020–2025. World Health Organization.

World Health Organization. (2023). Noncommunicable diseases: Fact sheet. World Health Organization. https://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseases

Xiong, S., Lu, H., Peoples, N., Duman, E. K., Najarro, A., Ni, Z., Gong, E., Yin, R., Ostbye, T., Palileo-Villanueva, L. M., Doraiswamy, P. M., Han, Y., & Yan, L. L. (2023). Digital health interventions for non-communicable disease management in primary health care in low- and middle-income countries. npj Digital Medicine, 6, 12. https://doi.org/10.1038/s41746-023-00764-4

Yuan, S., Wang, C., Jiang, W., Ma, J., & Cai, H. (2026). Effectiveness of mHealth interventions on physical activity and sedentary behavior among office workers: A systematic review and meta-analysis. Journal of Occupational Rehabilitation. Advance online publication. https://doi.org/10.1007/s10926-026-10373-z

Zhang, Y., Liu, C., Luo, S., Huang, J., Yang, Y., & Ma, X. (2023). Effectiveness, reach, uptake, and feasibility of digital health interventions for adults with type 2 diabetes: A systematic review and meta-analysis of randomised controlled trials. The Lancet Digital Health, 5(3), e125–e143. https://doi.org/10.1016/S2589-7500(22)00233-3