High Blood Pressure and Cardiovascular Prevention, Volume (30), No (3), Year (2023-5) , Pages (243-253)

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

Authors: Amin Mansoori , Zeinab Sadat Hosseini , Rana Kolahi Ahari , Mohadeseh Poudineh , Elias Sadooghi Rad , Mostafa Mahmoudi Zo , Faezeh Salmani Izadi , Mahdieh Hoseinpour , Amirreza Miralizadeh , Yalda Alizadeh Mashhadi , Maryam Hormozi , Mohadeseh Taj Firoozeh , Omolbanin Hajhoseini , Gordon Ferns , Habibollah Esmaily , Majid Ghayour Mobarhan ,

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Abstract

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.

Keywords

Cardiovascular diseases · Anthropometry · Adiposity · Decision tree
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@article{paperid:1102355,
author = {Mansoori, Amin and زینب سادات حسینی and رعنا کلاهی اهری and محدثه پودینه and الیاس صدوقی راد and مصطفی محمودی زو and فائزه سلمانی ایزدی and مهدیه حسین پور and امیررضا میرعلیزاه and یلدا علیزاده مشهدی and مریم هرمزی and محدثه تاج فیروزه and ام البنین حاج حسینی and گردون فرنس and حبیب الله اسماعیلی and مجید غیور مبرهن},
title = {Development of Data Mining Algorithms for Identifying the Best Anthropometric Predictors for Cardiovascular Disease: MASHAD Cohort Study},
journal = {High Blood Pressure and Cardiovascular Prevention},
year = {2023},
volume = {30},
number = {3},
month = {May},
issn = {1179-1985},
pages = {243--253},
numpages = {10},
keywords = {Cardiovascular diseases · Anthropometry · Adiposity · Decision tree},
}

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%0 Journal Article
%T Development of Data Mining Algorithms for Identifying the Best Anthropometric Predictors for Cardiovascular Disease: MASHAD Cohort Study
%A Mansoori, Amin
%A زینب سادات حسینی
%A رعنا کلاهی اهری
%A محدثه پودینه
%A الیاس صدوقی راد
%A مصطفی محمودی زو
%A فائزه سلمانی ایزدی
%A مهدیه حسین پور
%A امیررضا میرعلیزاه
%A یلدا علیزاده مشهدی
%A مریم هرمزی
%A محدثه تاج فیروزه
%A ام البنین حاج حسینی
%A گردون فرنس
%A حبیب الله اسماعیلی
%A مجید غیور مبرهن
%J High Blood Pressure and Cardiovascular Prevention
%@ 1179-1985
%D 2023

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