Development of Data Mining Algorithms for Identifying the Best Anthropometric Predictors for Cardiovascular Disease: MASHAD Cohort Study.

Autor: Mansoori A; International UNESCO center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, 99199-91766, Iran.; Department of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran., Hosseini ZS; Faculty of Medicine, Islamic Azad University of Mashhad, Mashhad, Iran., Ahari RK; International UNESCO center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, 99199-91766, Iran., Poudineh M; Student Research committee, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran., Rad ES; Student Research Committee, School of Medicine, Birjand University of Medical Sciences, Birjand, Iran., Zo MM; Student Research Committee, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran., Izadi FS; Student Research Committee, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran., Hoseinpour M; Student Research Committee, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran., Miralizadeh A; Student Research Committee, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran., Mashhadi YA; Department of Biology, Mashhad Branch, Islamic Azad University, Mashhad, Iran., Hormozi M; Department of Biology, Mashhad Branch, Islamic Azad University, Mashhad, Iran., Firoozeh MT; Department of Biology, Mashhad Branch, Islamic Azad University, Mashhad, Iran., Hajhoseini O; Student Research Committee, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.; Department of Nutrition, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran., Ferns G; Division of Medical Education, Brighton and Sussex Medical School, Brighton, United Kingdom., 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., Mobarhan MG; International UNESCO center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, 99199-91766, Iran. ghayourm@mums.ac.ir.
Jazyk: angličtina
Zdroj: High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension [High Blood Press Cardiovasc Prev] 2023 May; Vol. 30 (3), pp. 243-253. Date of Electronic Publication: 2023 May 19.
DOI: 10.1007/s40292-023-00577-2
Abstrakt: Introduction: Many studies have been published to assess the best anthropometric measurements associated with cardiovascular diseases (CVDs), but controversies still exist.
Aim: Investigating the association between CVDs and anthropometric measurements among Iranian adults.
Methods: For a total population of 9354 aged 35 to 65, a prospective study was designed. Anthropometric measurements including ABSI (A Body Shape Index), Body Adiposity Index (BAI), Body Mass Index (BMI), Waist to Height Ratio (WHtR), Body Round Index (BRI), HC (Hip Circumference), Demispan, Mid-arm circumference (MAC), Waist-to-hip (WH) and Waist Circumference (WC) were completed. The association between these parameters and CVDs were assessed through logistic regression (LR) and decision tree (DT) models.
Results: During the 6-year follow-up, 4596 individuals (49%) developed CVDs. According to the LR, age, BAI, BMI, Demispan, and BRI, in male and age, WC, BMI, and BAI in female had a significant association with CVDs (p-value < 0.03). Age and BRI for male and age and BMI for female represent the most appropriate estimates for CVDs (OR: 1.07, (95% CI: 1.06, 1.08), 1.36 (1.22, 1.51), 1.14 (1.13, 1.15), and 1.05 (1.02, 1.07), respectively). In the DT for male, those with BRI ≥ 3.87, age ≥ 46 years, and BMI ≥ 35.97 had the highest risk to develop CVDs (90%). Also, in the DT for female, those with age ≥ 54 years and WC ≥ 84 had the highest risk to develop CVDs (71%).
Conclusion: BRI and age in male and age and BMI in female had the greatest association with CVDs. Also, BRI and BMI was the strongest indices for this prediction.
(© 2023. Italian Society of Hypertension.)
Databáze: MEDLINE
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