Comparative assessment of changes in the incidence of type I diabetes mellitus in the regions with its high and low incidence

Authors

  • Irada J. Aliyeva Azerbaijan Medical University, Department III of Internal Diseases, Enver Kasumzade Str., 14, Baku, AZ1012, Republic of Azerbaijan, Azerbaijan https://orcid.org/0000-0001-7132-5062

DOI:

https://doi.org/10.26641/2307-0404.2021.2.234732

Keywords:

changes, healthcare problems, diabetic retinopathy, epidemiological characteristics, least squares method

Abstract

The purpose of this study was to determine dynamics of the levels of type I diabetes mellitus (DM) incidence in the regions with its different incidence. Material from the Azerbaijan Republican and Regional Registers of Diabetes Mellitus were used in this study. All cases of newly diagnosed type 1 DM and documented according to the clinical protocol in 2012-2016 were selected. At the first stage of the study, the rates of diabetes were identified in all administrative-territorial entities. Two groups from administrative-territorial entities were formed for further observation: the first group included regions with high (>80) incidence of type 1 DM, the second group included regions with low (<40) incidence of type 1 DM. At the next stages, changes in type 1 DM incidence were studied and a mean chronological incidence over five years (2012-2016) was determined. Morbidity rate in cities and regions of Azerbaijan in 2012 changed within a range from 5.4 to 294.8. The lowest incidence was observed in three districts: 5.4 in Agjabedi, 5.8 in Jalilabad, 6.1 in Masalli. Very high incidence was observed in Shamkir (294.8) and Khachmaz (278.7) districts. Data from Agdash (30.6) and NAR (32.2) were closer to data from the districts with low incidence. Incidence in Shirvan (81.9) and Yexlakh (171.7) districts was high, but lower than in Shamkir and Khachmaz districts. Type 1 DM incidence has significant interregional differences. Interregional differences in type 1 DM incidence do not depend on the age of the population; age-adjusted incidence of type 1 DM is within a range of 5.0-77.4.

References

Agaeva KF, Huseynli AF. [Features of the prevalence of diabetes mellitus and its age dynamics at the present stage of economic development among the population of the former Soviet industrial city]. Public Health and Health Care. 2014;3:22-24. Russian.

Vikulova OK. [State Register of Diabetes Mellitus of the Russian Federation: status 2015 and data from studies with active screening of the “Diabetes – center” module]. [Internet]; 2016. Available from: Diaregistry.ru. Russian.

Dedov II, Shestakova MV, Vikulova OK. [State Register of Diabetes Mellitus in the Russian Federation; 2014 status and development prospects]. Diabetes Mellitus. 2015;18(3):5-23. Russian. doi: https://doi.org/10.14341/DM201535-22

Sultanalieva RB, Sagynova SK, Albakova AO, Knyazeva VG, Dobrynina NP. [Epidemiological aspects of diabetes mellitus in Kyrgyzstan (according to the state register of diabetes mellitus in the context of 2015)]. Bulletin of KRSU. 2016;16(11):140-144. Russian.

Abraham TM, Pencina KM, Pencina MJ, Fox CS. Trends in diabetes incidence: the Framingham Heart Study. Diabetes Care. 2015;38:482-7. doi: https://doi.org/10.2337/dc14-1432

Alemu F. Prevalence of Diabetes Mellitus Disease and its Association with Level of Education Among Adult Patients Attending at Dilla Referral Hospital, Ethiopia. Journal of Diabetes and Metabolism. 2015;6(4):521-32.

doi: https://doi.org/10.4172/2155-6156.1000521

Alotaibib A, Perry L, Gholizadeh L, Al-Gonmi A. Incidence and prevalence rates of diabetes mellitus in Saudi Arabia: an overview. Journal of Epidemiology and Global Health. 2017;7:211-18. doi: https://doi.org/10.1016/j.jegh.2017.10.001

Estejhamati A, Larijani B, Aghajami M. Diabetes in Iran: prospective analysis from first Nationwide Diabetes report of National Program for Prevention and control of diabetes (NPPCD – 2016). Scientific Reports. 2017;7:13461.

doi: https://doi.org/10.1038/s41598-017-13379-z

Green A, Sortso C, Jensen PB, Emneus M. Incidence, mortality, morbidity and prevalence of diabetes in Denmark, 2000-2011: results from the Diabetes Impact study 2013. Clinical Epidemiology. 2015;7:421-30. doi: https://doi.org/10.2147/CLEP.S88577

Green A, Sortso C, Jensen PB, Emneu SM. Validation of the Danish National Diabetes Register. Clinical Epidemiology. 2015;7:5-15. doi: https://doi.org/10.2147/CLEP.S72768

Javanbakht M, Mashayekhi A, Baradaran HR. Projection of diabetes population size and associated economic burden through 2030 in Iran: Evi¬dence from micro-simulation Markov model and Bayesian meta-analysis. PLOS ONE. 2015;10(7):e0132505. doi: https://doi.org/10.1371/journal.pone.0132505

Oshilonya HU, Ijioma SN, Ibeh JN. Prevalence of type – 2 diabetes mellitus amongst suspected subjects in Agbor, Delta State, Nigeria and its relationship with age and gender. Archives of Applied Science Research. 2015;7(3):18-20.

Scottish Diabetes Survey [Internet]; 2015. Available from: https://www.diabetesinscotland.org.uk/wp-content/uploads/2019/12/Diabetes-in-Scotland-website-Scot¬tish-Diabetes-Survey-2015.pdf

Sinnott S, McHugh S, Whelton H. Estimating the prevalence and incidence of type 2 diabetes using population level pharmacy claims data: a cross – sectional study. BMI Open Diabetes Research and Care. 2017;5:e00288.

doi: https://doi.org/10.1136/bmjdrc-2016-000288

State of American well – being. State and community rankings for incidence of diabetes. [Internet]; 2015. Available from: www.well-beingindex.com

Downloads

Published

2021-06-18

How to Cite

1.
Aliyeva IJ. Comparative assessment of changes in the incidence of type I diabetes mellitus in the regions with its high and low incidence. Med. perspekt. [Internet]. 2021Jun.18 [cited 2024Nov.24];26(2):180-7. Available from: https://journals.uran.ua/index.php/2307-0404/article/view/234732

Issue

Section

SOCIAL MEDICINE