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Analyzing Heart Disease Mortality of Filipino: From Statistical Modeling to Health and Lifestyle Education Implications

Author

Listed:
  • Jabin J. Deguma
  • Emerson D. Peteros
  • Reylan G. Capuno
  • Ricardo Q. Ybañez
  • Danilo F. Cebe
  • Helen O. Revalde
  • Regina E. Sitoy
  • Melona C. Deguma

Abstract

This paper contributes an interdisciplinary cross-over in studying heart disease mortality of Filipino. First, it validates previous studies on heart diseases via ascertaining statistical models of analyses that estimate heart disease mortality predictability in the Philippines. It then proceeds to understand the implications of the issue through promoting health and lifestyle education. To do this, first, the report from the Epidemiology Bureau of the Department of Health (EBDOH) on mortality cases of diseases of the heart in the Philippines. Based on the statistical analyses, time series analysis suggested that the growth of heart disease mortality in the Philippines followed a quadratic trend. Moreover, symbolic regression (SR) analysis revealed that heredity has more significant influence over lifestyle between the identified factors. Based on the proposed models, this paper implies furthering community-oriented health and wellness programs as practical means to avoid untimely deaths brought by the said diseases.

Suggested Citation

  • Jabin J. Deguma & Emerson D. Peteros & Reylan G. Capuno & Ricardo Q. Ybañez & Danilo F. Cebe & Helen O. Revalde & Regina E. Sitoy & Melona C. Deguma, 2021. "Analyzing Heart Disease Mortality of Filipino: From Statistical Modeling to Health and Lifestyle Education Implications," Academic Journal of Interdisciplinary Studies, Richtmann Publishing Ltd, vol. 10, July.
    • Handle: RePEc:bjz:ajisjr:2090
    DOI: https://doi.org/10.36941/ajis-2021-0102
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    References listed on IDEAS

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    1. Wei Biao Wu & Zhibiao Zhao, 2007. "Inference of trends in time series," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 69(3), pages 391-410, June.
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