Personalized Recommendation Method for Preventing Elderly People from Cardiovascular Disease Complication Using Integrated Objective Distance


Nowadays, people are living longer than in the past which leads to dramatically increasing numbers of elderly people in the world’s populations. Correspondingly, the elderly are facing critical health concerns, particularly Cardiovascular Disease (CVD). CVD is recognized as the main cause of death worldwide for the aged people. Consequently, prevention of CVD complication is extremely significant for the elderly. The purpose of this research study is to determine a personalized recommendation to the elderly for preventing themselves from the complication of CVDs. Therefore, the personalized recommendation method using integrated objective distance is proposed in this study. The integrated objective distance is a new measurement for computing the distance score for indicating a personal suggestion effectively. Importantly, the proposed personalized recommendation method provides the potential direction for an individual lifestyle adjustment. An experiment of this study is conducted in the context of hypertension, which is one of the most significant risk factors for developing CVD. Input data is collected from 121 elderly people who have a high risk of CVD in Chiang Rai, Thailand. An experimental result shows that the proposed method can provide efficient suggestions to elderly people when compared to those from human experts with 95% accuracy.

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  1. 1.

    United Nations, Department of Economic and Social Affairs, Population Division. (2017). World Population Ageing 2017—Highlights (ST/ESA/SER.A/397).

  2. 2.

    Chaitrong, W. (2017). Risks grow for ageing population. The Nation. Accessed 20 September 2018

  3. 3.

    Halpin, H. A., Morales-Suárez-Varela, M. M., & Martin-Moreno, J. M. (2010). Chronic disease prevention and the new public health. Public Health Reviews, 32(1), 120.

    Article  Google Scholar 

  4. 4.

    World Health Organization. (2016). Cardiovascular disease (CVDs) fact sheet. Geneva: WHO.

    Google Scholar 

  5. 5.

    World Health Organization Thailand. (2017). New tools launched to tackle cardiovascular disease, the biggest killer in Thailand.

  6. 6.

    Fitchett, D., & Rockwood, K. (2002). Introduction: heart disease in an elderly population. In Canadian cardiovascular society consensus conference.

  7. 7.

    Rathod, A. B., Gulhane, S. M., & Padalwar, S. R. (2016). A comparative study on distance measuring approches for permutation representations. In 2016 IEEE international conference on advances in electronics, communication and computer technology (ICAECCT) (pp. 251–255).

  8. 8.

    Chaichumpa, S., & Temdee, P. (2018). Assessment of student competency for personalised online learning using objective distance. International Journal of Innovation and Learning, 23(1), 19–36.

    Article  Google Scholar 

  9. 9.

    Smith, S. C., Jr. (2007). Multiple risk factors for cardiovascular disease and diabetes mellitus. The American Journal of Medicine, 120(3), S3–S11.

    Article  Google Scholar 

  10. 10.

    Hajar, R. (2017). Risk factors for coronary artery disease: Historical perspectives. Heart Views: The Official Journal of the Gulf Heart Association, 18(3), 109.

    Article  Google Scholar 

  11. 11.

    Wilson, P. W. (2018). Overview of established risk factors for cardiovascular disease.

  12. 12.

    Slama, M., Susic, D., & Frohlich, E. D. (2002). Prevention of hypertension. Current Opinion in Cardiology, 17(5), 531–536.

    Article  Google Scholar 

  13. 13.

    Bloch, M. J., Fash, F., & Basile, F. J. Cardiovascular risks of hypertension.

  14. 14.

    Miller, C. S., Glick, M., & Rhodus, N. L. (2018). 2017 Hypertension guidelines: New opportunities and challenges. The Journal of the American Dental Association, 149(4), 229–231.

    Article  Google Scholar 

  15. 15.

    Ferguson, T. S., et al. (2018). Factors associated with elevated blood pressure or hypertension in Afro-Caribbean youth: A cross-sectional study. PeerJ, 6, e4385.

    Article  Google Scholar 

  16. 16.

    Centers for Disease Control and Prevention. (2014). High blood pressure risk factors. Retrieved from https://www.cdc.govbloodpressure/risk_factors.htm

  17. 17.

    Centers for Disease Control and Prevention. (2014). Behaviors that increase risk for high blood pressure. Retrieved from

  18. 18.

    Lewis, S. (2017). The effects of obesity on cholesterol levels. Retrieved from

  19. 19.

    Weatherspoon, D. (2017). What’s the connection between high blood cholesterol and hypertension? Retrieved from

  20. 20.

    Diaz, K. M., & Shimbo, D. (2013). Physical activity and the prevention of hypertension. Current Hypertension Reports, 15(6), 659–668.

    Article  Google Scholar 

  21. 21.

    Karwalajtys, T., & Kaczorowski, J. (2010). An integrated approach to preventing cardiovascular disease: Community-based approaches, health system initiatives, and public health policy. Risk Management and Healthcare Policy, 3, 39.

    Google Scholar 

  22. 22.

    Feigin, V. L., Norrving, B., & Mensah, G. A. (2017). Primary prevention of cardiovascular disease through population-wide motivational strategies: Insights from using smartphones in stroke prevention. BMJ Global Health, 2(2), e000306.

    Article  Google Scholar 

  23. 23.

    Rachata, N., Szabó, Z., & Temdee, P. (2018). Myhealth: Mobile application supporting social learning among patients with type 2 diabetes mellitus and hypertension. International Journal of Applied Biomedical Engineering, 11(2), 6–15.

    Google Scholar 

  24. 24.

    Chaising, S., & Temdee, P. (2018). Determining recommendations for preventing elderly people from cardiovascular disease complication using objective distance. In The 6th global wireless summit (GWS-2018).

  25. 25.

    Piepoli, M. F., Hoes, A. W., Agewall, S., Albus, C., Brotons, C., Catapano, A. L., et al. (2016). European guidelines on cardiovascular disease prevention in clinical practice: The sixth joint task force of the European society of cardiology and other societies on cardiovascular disease prevention in clinical practice (constituted by representatives of 10 societies and by invited experts) developed with the special contribution of the European association for cardiovascular prevention & rehabilitation (EACPR). European Heart Journal, 37(29), 2315–2381.

    Article  Google Scholar 

  26. 26.

    American Diabetes Association. (2018). 9. Cardiovascular disease and risk management: standards of medical care in diabetes—2018. Diabetes care, 41(Supplement 1), S86–S104.

    Article  Google Scholar 

  27. 27.

    Cunha, J. P. HDL vs. LDL cholesterol differences, normal ranges, and meanings. Accessed 25 Oct 2018.

  28. 28.

    European Guidelines on Cardiovascular Disease Prevention in Clinical Practice. (2012). The fifth joint task force of the european society of cardiology and other societies on cardiovascular disease prevention in clinical practice (constituted by representatives of nine societies and by invited experts). Developed with the special contribution of the European Association for Cardiovascular Prevention & Rehabilitation (EACPR). European Journal of Preventive Cardiology 19(4): 585–667.

  29. 29.

    Trajkovska, K. T., & Topuzovska, S. (2017). High-density lipoprotein metabolism and reverse cholesterol transport: Strategies for raising HDL cholesterol. Anatolian Journal of Cardiology, 18(2), 149.

    Google Scholar 

  30. 30.

    Schmidt, S. C. E., Tittlbach, S., Bös, K., & Woll, A. (2017). Different types of physical activity and fitness and health in adults: An 18-year longitudinal study. BioMed Research International, 2017, 1785217.

    Article  Google Scholar 

  31. 31.

    Musich, S., Wang, S. S., Hawkins, K., & Greame, C. (2017). The frequency and health benefits of physical activity for older adults. Population Health Management, 20(3), 199–207.

    Article  Google Scholar 

  32. 32.

    Börjesson, M., Kjeldsen, S. & Dahlöf, B. “Hypertension,” physical activity in the prevention and treatment (pp. 410–425). Accessed 25 October 2018.

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This research work was supported by RGJ-Ph.D. Grant (PHD/0081/2560) and Mae Fah Luang University.

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Correspondence to Punnarumol Temdee.

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Chaising, S., Prasad, R. & Temdee, P. Personalized Recommendation Method for Preventing Elderly People from Cardiovascular Disease Complication Using Integrated Objective Distance. Wireless Pers Commun 117, 215–233 (2021).

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  • Integrated objective distance
  • Cardiovascular disease (CVD)
  • Personalization
  • Recommendations
  • Elderly people