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, Ebrahim Eftekhar, Roghayeh Shahbazi, Azim Nejatizadeh, Mehdi Shahmoradi, Masoumeh Kheirandish
Author Information
  1. Zahra Ghaemmaghami: Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran.
  2. Ebrahim Eftekhar: Endocrinology and Metabolism Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
  3. Roghayeh Shahbazi: Cellular and Molecular Medicine Department, Faculty of Medicine, University of Ottawa, Ottawa, Canada.
  4. Azim Nejatizadeh: Molecular Medicine Research Center, Hormozgan Health Institute, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
  5. Mehdi Shahmoradi: Endocrinology and Metabolism Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
  6. Masoumeh Kheirandish: Endocrinology and Metabolism Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran. ORCID

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/m 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.

Keywords

References

  1. Diabetes Res Clin Pract. 2014 Feb;103(2):319-27 [PMID: 24447808]
  2. J Endocrinol Invest. 2016 May;39(5):515-22 [PMID: 26359145]
  3. BMC Public Health. 2008 May 24;8:176 [PMID: 18501007]
  4. J Diabetes Res. 2019 Sep 03;2019:5869206 [PMID: 31565657]
  5. PLoS One. 2015 Apr 17;10(4):e0123579 [PMID: 25886648]
  6. Glob Health Action. 2016 May 23;9:31440 [PMID: 27221531]
  7. J Gen Intern Med. 2015 Jan;30(1):25-32 [PMID: 25127728]
  8. Electron Physician. 2017 Oct 25;9(10):5531-5535 [PMID: 29238494]
  9. East Mediterr Health J. 2015 Sep 08;21(6):412-9 [PMID: 26370000]
  10. JAMA. 2015 Sep 8;314(10):1021-9 [PMID: 26348752]
  11. JAMA. 2014 Feb 5;311(5):507-20 [PMID: 24352797]
  12. Arch Gerontol Geriatr. 2015 May-Jun;60(3):373-9 [PMID: 25623857]
  13. Diabetes Care. 2008 Jan;31(1):96-8 [PMID: 17921357]
  14. Diabetes Res Clin Pract. 2019 Nov;157:107843 [PMID: 31518657]
  15. Physiol Behav. 2018 Apr 1;187:20-23 [PMID: 28843891]
  16. Am J Epidemiol. 2018 Apr 1;187(4):647-655 [PMID: 29145581]
  17. Dig Liver Dis. 2017 May;49(5):540-544 [PMID: 28110921]
  18. Diabetologia. 2012 Jan;55(1):88-93 [PMID: 21987347]
  19. Arch Iran Med. 2019 Nov 01;22(11):633-639 [PMID: 31823628]
  20. BMC Public Health. 2020 Feb 3;20(1):166 [PMID: 32013917]
  21. Endocr Pract. 2012 Mar-Apr;18 Suppl 1:1-78 [PMID: 22522068]
  22. Diabetes Res Clin Pract. 2017 Jun;128:40-50 [PMID: 28437734]
  23. Arch Iran Med. 2010 May;13(3):243-4 [PMID: 20433230]
  24. PLoS One. 2018 Jun 1;13(6):e0198343 [PMID: 29856828]
  25. Diabetes Care. 2018 Jan;41(Suppl 1):S13-S27 [PMID: 29222373]
  26. Eur J Cardiovasc Prev Rehabil. 2010 Feb;17(1):94-9 [PMID: 19940780]
  27. Diabetes Res Clin Pract. 2020 Feb;160:107931 [PMID: 31794806]
  28. Diabetes Metab Syndr. 2016 Jan-Mar;10(1):19-22 [PMID: 26341930]
  29. Med Sci Sports Exerc. 2003 Jul;35(7):1196-202 [PMID: 12840642]
  30. Anadolu Kardiyol Derg. 2006 Dec;6(4):314-21 [PMID: 17162275]

MeSH Term

Humans
Aged
Adult
Middle Aged
Male
Female
Prediabetic State
Iran
Diabetes Mellitus, Type 2
Cohort Studies
Cross-Sectional Studies
Hypercholesterolemia
Blood Glucose
Risk Factors
Hypertriglyceridemia

Chemicals

Blood Glucose

Word Cloud

Created with Highcharts 10.0.0T2DMIFGhigherruralprevalenceCohortdiabetesyearsBandare-Kongolderhypertriglyceridemiapre-diabetesmellitusfastingglucoseriskIranianadultpopulation3944middle-agedelderlyadultsPERSIANanalysisrespectivelyamongresidentscurrentcigarettesmokershypercholesterolemiaeducationalWCHTNagesignificantDiabetesStudyBACKGROUND:evaluatetype2impairedcardio-metabolicfactorssouthernMETHODS:population-basedcross-sectionalsurvey35-70participantsrecruited20162018firstphasedatapartusedRESULTS:Amongincludedage-adjusted1740%2061%MeanFPG55femalesunemployedlowlevelsubjectsprevalentwomenmenAlsowaistcircumferencebodymassindexBMIlowerlevelsformerhypertension45MultivariableregressionshowedlivingregionsstatisticallypredictorsBMI���25kg/mfactorCONCLUSION:studyillustratedhighparticularlydwellersHencepreventionstrategiesimplementedreduceespeciallyareasPre-diabetesMellitusRelatedCardio-metabolicRiskFactorsSouthernCoastalRegionIranMiddle-agedElderlyPopulationImpairedPrevalence

Similar Articles

Cited By