Enrolment Phase Results of the Tabari Cohort Study: Comparing Family History, Lipids and Anthropometric Profiles Among Diabetic Patients

Objectives Different factors are responsible for the silent epidemic of diabetes mellitus in developing and developed countries. This study aimed to determine the role of demographic factors, lipid profile, family history (the estimation of genetic association) and anthropometric factors on diabetes...

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Main Authors: Mahmood Moosazadeh, Mahdi Afshari, Kaveh Jafari, Motahareh Kheradmand, Zahra Kashi, Mohsen Aarabi, Adeleh Bahar, Mohammad Khademloo
Format: Article
Language:English
Published: Korea Centers for Disease Control & Prevention 2019-10-01
Series:Osong Public Health and Research Perspectives
Subjects:
Online Access:http://ophrp.org/upload/phrp-10-5/ophrp-10-289.pdf
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spelling doaj-f3c8ba84c205462a9dfd9d16d05f20ac2020-11-24T21:52:48ZengKorea Centers for Disease Control & PreventionOsong Public Health and Research Perspectives2210-90992019-10-0110528929410.24171/j.phrp.2019.10.5.053466Enrolment Phase Results of the Tabari Cohort Study: Comparing Family History, Lipids and Anthropometric Profiles Among Diabetic PatientsMahmood MoosazadehMahdi AfshariKaveh JafariMotahareh KheradmandZahra KashiMohsen AarabiAdeleh BaharMohammad KhademlooObjectives Different factors are responsible for the silent epidemic of diabetes mellitus in developing and developed countries. This study aimed to determine the role of demographic factors, lipid profile, family history (the estimation of genetic association) and anthropometric factors on diabetes onset. Methods Data from the enrolment phase of the Tabari Cohort study was applied for this study and included 10,255 participants aged between 35–70 years. Anthropometric variables were measured by trained staff using standard tools. Blood specimens were collected for lipid profile and blood glucose measurements. Data analyses were performed using SPSS version 24, with univariate and multivariate logistic regression. Results The prevalence of diabetes mellitus was estimated to be 17.2% in the cohort population, 15.6% in men, and 18.3% in women. The adjusted odds ratios (95% confidence intervals) for age groups 40–49, 50–59 and over 60 were 2.58 (2.20–3.69), 5.80 (4.51–7.48) and 8.72 (6.67–11.39), respectively. In addition, the odds ratios (95% confidence intervals) for 2 (or more), and 1 affected family member were 4.12 (3.55–4.90) and 2.34 (2.07–2.65), respectively. Triglyceride concentrations more than 500, and abnormal high-density lipoprotein levels increased the odds of diabetes mellitus by 3.29- and 1.18-fold, respectively. Conclusion The current study showed that old age and a family history were strong predictors for diabetes mellitus.http://ophrp.org/upload/phrp-10-5/ophrp-10-289.pdfbody mass indexdiabetes mellituslipids
collection DOAJ
language English
format Article
sources DOAJ
author Mahmood Moosazadeh
Mahdi Afshari
Kaveh Jafari
Motahareh Kheradmand
Zahra Kashi
Mohsen Aarabi
Adeleh Bahar
Mohammad Khademloo
spellingShingle Mahmood Moosazadeh
Mahdi Afshari
Kaveh Jafari
Motahareh Kheradmand
Zahra Kashi
Mohsen Aarabi
Adeleh Bahar
Mohammad Khademloo
Enrolment Phase Results of the Tabari Cohort Study: Comparing Family History, Lipids and Anthropometric Profiles Among Diabetic Patients
Osong Public Health and Research Perspectives
body mass index
diabetes mellitus
lipids
author_facet Mahmood Moosazadeh
Mahdi Afshari
Kaveh Jafari
Motahareh Kheradmand
Zahra Kashi
Mohsen Aarabi
Adeleh Bahar
Mohammad Khademloo
author_sort Mahmood Moosazadeh
title Enrolment Phase Results of the Tabari Cohort Study: Comparing Family History, Lipids and Anthropometric Profiles Among Diabetic Patients
title_short Enrolment Phase Results of the Tabari Cohort Study: Comparing Family History, Lipids and Anthropometric Profiles Among Diabetic Patients
title_full Enrolment Phase Results of the Tabari Cohort Study: Comparing Family History, Lipids and Anthropometric Profiles Among Diabetic Patients
title_fullStr Enrolment Phase Results of the Tabari Cohort Study: Comparing Family History, Lipids and Anthropometric Profiles Among Diabetic Patients
title_full_unstemmed Enrolment Phase Results of the Tabari Cohort Study: Comparing Family History, Lipids and Anthropometric Profiles Among Diabetic Patients
title_sort enrolment phase results of the tabari cohort study: comparing family history, lipids and anthropometric profiles among diabetic patients
publisher Korea Centers for Disease Control & Prevention
series Osong Public Health and Research Perspectives
issn 2210-9099
publishDate 2019-10-01
description Objectives Different factors are responsible for the silent epidemic of diabetes mellitus in developing and developed countries. This study aimed to determine the role of demographic factors, lipid profile, family history (the estimation of genetic association) and anthropometric factors on diabetes onset. Methods Data from the enrolment phase of the Tabari Cohort study was applied for this study and included 10,255 participants aged between 35–70 years. Anthropometric variables were measured by trained staff using standard tools. Blood specimens were collected for lipid profile and blood glucose measurements. Data analyses were performed using SPSS version 24, with univariate and multivariate logistic regression. Results The prevalence of diabetes mellitus was estimated to be 17.2% in the cohort population, 15.6% in men, and 18.3% in women. The adjusted odds ratios (95% confidence intervals) for age groups 40–49, 50–59 and over 60 were 2.58 (2.20–3.69), 5.80 (4.51–7.48) and 8.72 (6.67–11.39), respectively. In addition, the odds ratios (95% confidence intervals) for 2 (or more), and 1 affected family member were 4.12 (3.55–4.90) and 2.34 (2.07–2.65), respectively. Triglyceride concentrations more than 500, and abnormal high-density lipoprotein levels increased the odds of diabetes mellitus by 3.29- and 1.18-fold, respectively. Conclusion The current study showed that old age and a family history were strong predictors for diabetes mellitus.
topic body mass index
diabetes mellitus
lipids
url http://ophrp.org/upload/phrp-10-5/ophrp-10-289.pdf
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