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The relationship between anthropometric indices and the presence of hypertension in an Iranian population sample using data mining algorithms

Journal of Human Hypertension volume 38, pages 277–285 (2024)Cite this article

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Abstract

Hypertension (HTN) is a common chronic condition associated with increased morbidity and mortality. Anthropometric indices of adiposity are known to be associated with a risk of HTN. The aim of this study was to identify the anthropometric indices that best associate with HTN in an Iranian population. 9704 individuals aged 35–65 years were recruited as part of the Mashhad Stroke and Heart Atherosclerotic Disorder (MASHAD) study. Demographic and anthropometric data of all participants were recorded. HTN was defined as a systolic blood pressure (SBP) ≥ 140 mmHg, and/ or a diastolic blood pressure (DBP) ≥ 90 mmHg on two subsequent measurements, or being treated with oral drug therapy for BP. Data mining methods including Logistic Regression (LR), Decision Tree (DT), and Bootstrap Forest (BF) were applied. Of 9704 participants, 3070 had HTN, and 6634 were normotensive. LR showed that body roundness index (BRI), body mass index (BMI) and visceral adiposity index (VAI) were significantly associated with HTN in both genders (P < 0.0001). BRI showed the greatest association with HTN (OR = 1.276, 95%CI = (1.224, 1.330)). For BMI we had OR = 1.063, 95%CI = (1.047, 1.080), for VAI we had OR = 1.029, 95%CI = (1.020, 1.038). An age < 47 years and BRI < 4.04 was associated with a 90% probability of being normotensive. The BF indicated that age, sex and BRI had the most important role in HTN. In summary, among anthropometric indices the most powerful indicator for discriminating hypertensive from normotensive patients was BRI.

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Fig. 1: Flow chart of this study.
Fig. 2: ROC curve for LR, DT, and BF algorithm.
Fig. 3: Graphical representation of the decision tree introduced for HTN diagnosis based on associated risk factors.

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Authors and Affiliations

  1. International UNESCO center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran

    Amin Mansoori, Najmeh Seifi & Majid Ghayour-Mobarhan

  2. Department of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran

    Amin Mansoori & Habibollah Esmaily

  3. Department of Applied Mathematics, Ferdowsi University of Mashhad, Mashhad, Iran, Mashhad, Iran

    Amin Mansoori

  4. Student Research Committee, Paramedicine Faculty, Mashhad University of Medical Sciences, Mashhad, Iran

    Reihaneh Vahabzadeh & Fatemeh Hajiabadi

  5. Department of Nutrition Sciences, Varastegan Institute for Medical Sciences, Mashhad, Iran

    Melika Hakimi Mood & Mahdiar Harimi

  6. Faculty of Medicine, Islamic Azad University of Mashhad, Mashhad, Iran

    Mohadeseh Poudineh

  7. Student of Research Committee, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran, Zanjan, Iran

    Mohadeseh Poudineh

  8. Brighton and Sussex Medical School, Division of Medical Education, Brighton, UK

    Gordon Ferns

  9. Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran

    Habibollah Esmaily

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Contributions

AM: conception, data analyzing. NS: conception, drafting the article. RV: revising the article. FH: drafting the article. MHM: drafting the article. MH: revising the article. MP: drafting the article. GF: revising the article. HE: corresponding author. MG-M: corresponding author.

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Correspondence to Habibollah Esmaily or Majid Ghayour-Mobarhan.

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This study protocol was reviewed and approved by the Ethics Committee of MUMS, approval number IR.MUMS.REC.1386.250.

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Mansoori, A., Seifi, N., Vahabzadeh, R. et al. The relationship between anthropometric indices and the presence of hypertension in an Iranian population sample using data mining algorithms. J Hum Hypertens 38, 277–285 (2024). https://doi.org/10.1038/s41371-023-00877-z

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