Logo-aim
Arch Iran Med. 2022;25(7): 409-416.
doi: 10.34172/aim.2022.68
  Abstract View: 295
  PDF Download: 547

Original Article

Pre-diabetes, Diabetes Mellitus and Related Cardio-metabolic Risk Factors in the Southern Coastal Region of Iran Middle-aged and Elderly Population; Bandare-Kong Cohort Study

Zahra Ghaemmaghami 1, Ebrahim Eftekhar 2,3, Roghayeh Shahbazi 4, Azim Nejatizadeh 5, Mehdi Shahmoradi 2, Masoumeh Kheirandish 2* ORCID logo

1 Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran
2 Endocrinology and Metabolism Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
3 Cardiovascular Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
4 Cellular and Molecular Medicine Department, Faculty of Medicine, University of Ottawa, Ottawa, Canada
5 Molecular Medicine Research Center, Hormozgan Health Institute, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
*Corresponding Author: Corresponding Author: Masoumeh Kheirandish, MD; Endocrinology and Metabolism Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran. Tel:+98 917 7612282; Email: , Email: kheirandishm@yahoo.com

Abstract

Background: To evaluate the prevalence of type 2 diabetes mellitus (T2DM), impaired fasting glucose (IFG), and its cardio-metabolic risk factors in the southern Iranian adult population.

Methods: This is a population-based cross-sectional survey on 3944 middle-aged and elderly adults (35–70 years) from Bandare-Kong. The participants were recruited from 2016 to 2018 and the first phase data of the Bandare-Kong Cohort as a part of the PERSIAN Cohort were used for analysis.

Results: Among the 3944 included adults, the age-adjusted prevalence of T2DM and IFG was 17.40% and 20.61%, respectively. Mean FPG was higher among those older than 55 years, females, rural residents, current cigarette smokers, hypertriglyceridemia, hypercholesterolemia, unemployed and low educational level in subjects with diabetes and pre-diabetes. T2DM and IFG were more prevalent in women and men, respectively. Also, those with higher waist circumference (WC), higher body mass index (BMI), lower educational levels, rural residents, former cigarette smokers, hypertension (HTN), hypercholesterolemia, hypertriglyceridemia and age older 45 years, had a higher T2DM and IFG prevalence. Multivariable regression analysis showed that older age, higher WC, HTN and hypertriglyceridemia and living in rural regions were statistically significant predictors of T2DM and pre-diabetes while BMI≥25 kg/m2 was the only significant risk factor for IFG.

Conclusion: The current study illustrated that T2DM and IFG have a high prevalence among the middle-aged and elderly adult Iranian population, particularly in rural dwellers. Hence, prevention strategies should be implemented to reduce diabetes and pre-diabetes, especially in rural areas.


Cite this article as: Ghaemmaghami Z, Eftekhar E, Shahbazi R, Nejatizadeh A, Shahmoradi M, Kheirandish M. Pre-diabetes, diabetes mellitus and related cardio-metabolic risk factors in the southern coastal region of iran middle-aged and elderly population; bandare-kong cohort. Arch Iran Med. 2022;25(7):409-416. doi: 10.34172/aim.2022.68
First Name
 
Last Name
 
Email Address
 
Comments
 
Security code


Abstract View: 296

Your browser does not support the canvas element.


PDF Download: 547

Your browser does not support the canvas element.

Submitted: 28 Nov 2020
Revision: 04 Jan 2022
Accepted: 09 Jan 2022
ePublished: 01 Jul 2022
EndNote EndNote

(Enw Format - Win & Mac)

BibTeX BibTeX

(Bib Format - Win & Mac)

Bookends Bookends

(Ris Format - Mac only)

EasyBib EasyBib

(Ris Format - Win & Mac)

Medlars Medlars

(Txt Format - Win & Mac)

Mendeley Web Mendeley Web
Mendeley Mendeley

(Ris Format - Win & Mac)

Papers Papers

(Ris Format - Win & Mac)

ProCite ProCite

(Ris Format - Win & Mac)

Reference Manager Reference Manager

(Ris Format - Win only)

Refworks Refworks

(Refworks Format - Win & Mac)

Zotero Zotero

(Ris Format - Firefox Plugin)