Hypertension risk modeling using penalized spline estimator approach based on consumption of salt, sugar, and fat factors

Z. N. Amalia, D. R. Hastuti, F. Istiqomah, N. Chamidah

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Hypertension is one of the health problems that arise without symptoms. It means that emergence factors of symptoms of hypertension cannot be known certainty. There were some previous researchers who pointed out that the risk factors of hypertension can be caused by overweight (obese), heredity, age, and history of family’s life. However, according to study run by World Health Organization (WHO) in 2013, risk factors of hypertension may also be caused by the consumption of fatty acids, saturated fat, salt and sugar. In that research, WHO used parametric regression model approach. So, this model cannot accommodate locally behavior of risk factors. Therefore, in this research, we propose analysis methods by using both parametric logistic regression and nonparametric logistic regression models approaches that can accommodate locally behavior of risk factors. In this research, to model hypertension caused by consumption of salt, sugar, and fat we use link function of logit in parametric logistic regression and use penalized spline estimator in nonparametric logistic regression. The results show that classification accuracy based on nonparametric logistic regression is 90.7% and based on parametric logistic regression is 65.6%. It means that for modeling the risk of hypertension based on consumption of salt, sugar, and fat, the use of penalized spline estimator of nonparametric logistic regression is better than that of logit link function of parametric logistic regression.

Original languageEnglish
Title of host publicationSymposium on Biomathematics 2019, SYMOMATH 2019
EditorsMochamad Apri, Vitalii Akimenko
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735420243
DOIs
Publication statusPublished - 22 Sept 2020
EventSymposium on Biomathematics 2019, SYMOMATH 2019 - Bali, Indonesia
Duration: 25 Aug 201928 Aug 2019

Publication series

NameAIP Conference Proceedings
Volume2264
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

ConferenceSymposium on Biomathematics 2019, SYMOMATH 2019
Country/TerritoryIndonesia
CityBali
Period25/08/1928/08/19

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