JP Journal of Biostatistics

The JP Journal of Biostatistics is a highly regarded open-access international journal indexed in the Emerging Sources Citation Index (ESCI). It focuses on the application of statistical theory and methods in resolving problems in biological, biomedical, and agricultural sciences. The journal encourages the submission of experimental papers that employ relevant algorithms and also welcomes survey articles in the fields of biostatistics and epidemiology.

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ADVANCED HEALTH ASSESSMENT OF HBA1C THROUGH NONPARAMETRIC REGRESSION: INVESTIGATING TG, FBS, BMI, TC, AND LDL INTERACTIONS

Authors

  • Seng Fei Hong
  • Wan Muhamad Amir W Ahmad
  • Mohamad Nasarudin Adnan
  • Nor Farid Mohd Noor
  • Farah Muna Mohamad Ghazali
  • Nor Azlida Aleng

Keywords:

non-parametric regression, glycated hemoglobin (HbA1c), triglycerides, body mass index, cholesterol, LDL

DOI:

https://doi.org/10.17654/0973514325010

Abstract

This study evaluates the relationship between Hemoglobin A1c (HbA1c) and metabolic indicators – fasting blood sugar (FBS), triglycerides (TG), body mass index (BMI), total cholesterol (TC), and low-density lipoprotein (LDL) – using nonparametric regression techniques. HbA1c was modelled as the dependent variable, leveraging R Studio to capture complex non-linear interactions beyond traditional methods. A framework combining nonparametric regression and multilayer feedforward neural networks (MLFFNN) was constructed and validated. The dataset was split into training (70%) and testing (30%) sets, with performance metrics assessed via RMSE, MAE, RMSPE, and MedAE. The proposed method achieved high predictive accuracy, with RMSE and MAE of 0.0417 and MedAE of 95.83, demonstrating its robustness. This integration of statistical and machine learning methods offers a reliable tool for predicting HbA1c levels and emphasizes the potential of advanced analytics in healthcare.

Received: January 11, 2025
Accepted: January 30, 2025

References

C. Chen and J. L. Dai, Triglyceride to high-density lipoprotein cholesterol (HDL-C) ratio and arterial stiffness in Japanese population: a secondary analysis based on a cross-sectional study, Lipids Health Dis. 17 (2018), 130.

doi: 10.1186/s12944-018-0776-7.

S. I. Sherwani, H. A. Khan, A. Ekhzaimy, A. Masood and M. K. Sakharkar, Significance of HbA1c test in diagnosis and prognosis of diabetic patients, Biomark Insights 11 (2016), 95-104. doi: 10.4137/BMI.S38440.

A. Forbes, T. Murrells, H. Mulnier and A. J. Sinclair, Mean HbA1c, HbA1c variability, and mortality in people with diabetes aged 70 years and older: a retrospective cohort study, Lancet Diabetes Endocrinol 6 (2018), 476-486.

doi: 10.1016/S2213-8587(18)30048-2.

H. Chehregosha, M. E. Khamseh, M. Malek, F. Hosseinpanah and F. Ismail-Beigi, A view beyond HbA1c: Role of continuous glucose monitoring, Diabetes Therapy 10 (2019), 853-863. doi: 10.1007/s13300-019-0619-1.

N. E. Poveda, M. F. Garcés, A. E. Darghan, et al., Triglycerides/glucose and triglyceride/high-density lipoprotein cholesterol indices in normal and preeclamptic pregnancies: A longitudinal study, Int. J. Endocrinol 2018 (2018), 8956404. doi: 10.1155/2018/8956404.

P. C. Liao, M. S. Chen, M. J. Jhou, T. C. Chen, C. T. Yang and C. J. Lu, Integrating health data-driven machine learning algorithms to evaluate risk factors of early stage hypertension at different levels of HDL and LDL cholesterol, Diagnostics (Basel) 12 (2022), 1965. doi: 10.3390/diagnostics12081965.

Z. Chen, H. Qin, S. Qiu, G. Chen and Y. Chen, Correlation of triglyceride to high-density lipoprotein cholesterol ratio with nonalcoholic fatty liver disease among the non-obese Chinese population with normal blood lipid levels: a retrospective cohort research, Lipids Health Dis. 18 (2019), 162.

doi: 10.1186/s12944-019-1104-6.

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Published

2025-02-17

Issue

Vol. 25 No. 1 (2025)

Section

Articles

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How to Cite

ADVANCED HEALTH ASSESSMENT OF HBA1C THROUGH NONPARAMETRIC REGRESSION: INVESTIGATING TG, FBS, BMI, TC, AND LDL INTERACTIONS. (2025). JP Journal of Biostatistics, 25(1), 215-221. https://doi.org/10.17654/0973514325010

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