학술논문
The relationship between anthropometric indices and the presence of hypertension in an Iranian population sample using data mining algorithms.
Document Type
Academic Journal
Author
Mansoori A; International UNESCO center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran.; Department of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.; Department of Applied Mathematics, Ferdowsi University of Mashhad, Mashhad, Iran, Mashhad, Iran.; Seifi N; International UNESCO center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran.; Vahabzadeh R; Student Research Committee, Paramedicine Faculty, Mashhad University of Medical Sciences, Mashhad, Iran.; Hajiabadi F; Student Research Committee, Paramedicine Faculty, Mashhad University of Medical Sciences, Mashhad, Iran.; Mood MH; Department of Nutrition Sciences, Varastegan Institute for Medical Sciences, Mashhad, Iran.; Harimi M; Department of Nutrition Sciences, Varastegan Institute for Medical Sciences, Mashhad, Iran.; Poudineh M; Faculty of Medicine, Islamic Azad University of Mashhad, Mashhad, Iran.; Student of Research Committee, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran, Zanjan, Iran.; Ferns G; Brighton and Sussex Medical School, Division of Medical Education, Brighton, UK.; Esmaily H; Department of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran. esmailyh@mums.ac.ir.; Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran. esmailyh@mums.ac.ir.; Ghayour-Mobarhan M; International UNESCO center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran. ghayourm@mums.ac.ir.
Source
Publisher: Nature Publishing Group Country of Publication: England NLM ID: 8811625 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1476-5527 (Electronic) Linking ISSN: 09509240 NLM ISO Abbreviation: J Hum Hypertens Subsets: MEDLINE
Subject
Language
English
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.
(© 2023. The Author(s), under exclusive licence to Springer Nature Limited.)
(© 2023. The Author(s), under exclusive licence to Springer Nature Limited.)