Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Oct 25;12(1):17892.
doi: 10.1038/s41598-022-22779-9.

Prevalence of prediabetes, diabetes, diabetes awareness, treatment, and its socioeconomic inequality in west of Iran

Affiliations

Prevalence of prediabetes, diabetes, diabetes awareness, treatment, and its socioeconomic inequality in west of Iran

Farhad Moradpour et al. Sci Rep. .

Abstract

We aim to estimate the prevalence of prediabetes, and diabetes mellitus (DM). We estimated awareness, treatment, plasma glucose control, and associated factors in diabetes, as well as, socioeconomic-related inequality in the prevalence of diabetes and prediabetes. Data for adults aged 35-70 years were obtained from the baseline phase of the Dehgolan prospective cohort study (DehPCS). Diabetes status was determined as fasting plasma glucose (FPG) of ≥ 126 mg/dl and/or taking glucose lowering medication confirmed by a medical practitioner. Prediabetes was considered as 100 ≤ FPG ≤ 125 mg/dl. The relative concentration index (RCI) was used to exhibit socioeconomic inequality in the prevalence of prediabetes and DM. Prevalence of prediabetes and DM, diabetes awareness and treatment, and glycemic control of DM 18.22%, 10.00%, 78.50%, 68.91% and, 28.50%, respectively. Increasing age (p < 0.001), Increasing body mass index (BMI) (p < 0.05), ex-smoker (p < 0.01), family history of diabetes (FHD) (p < 0.001), and comorbidity (p < 0.001) were independent risk factors for DM. Age group of 46-60 (p < 0.05), ex-smoker (p < 0.05), FHD (p < 0.05) were increased chance of awareness. Current smokers (p < 0.05), and higher education increase the chance of glycemic control in DM. Both DM (RCI = - 0.234) and prediabetes (RCI = - 0.122) were concentrated significantly among less-educated participants. DM was concentrated significantly among poor (RCI = - 0.094) people. A significant proportion of DM awareness and treatment can be due to the integration of diabetes into the primary health care system. The high prevalence of prediabetes and diabetes, which is affected by socioeconomic inequality and combined with low levels of glycemic control may place a greater burden on the health system. Therefore, awareness, receiving treatment, and glycemic control in people with diabetes, and the socioeconomic status of people have become increasingly important in the near future.

PubMed Disclaimer

Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Flow diagram of participants in Dehgolan Prospective Cohort Study (DehPCS), 2018–2019, who respond to questionnaires and agreed for fasting blood glucose sampling.
Figure 2
Figure 2
Concentration index for prediabetes and diabetes according to the education years (A) and wealth index (B).

References

    1. Honnudóttir V, Hansen L, Veyhe AS, Andersen I, Weihe P, Strøm M, et al. Social inequality in type 2 diabetes mellitus in the Faroe Islands: A cross-sectional study. Scand. J. Public Health. 2021;50:638. - PubMed
    1. Lin X, Xu Y, Pan X, Xu J, Ding Y, Sun X, et al. Global, regional, and national burden and trend of diabetes in 195 countries and territories: An analysis from 1990 to 2025. Sci. Rep. 2020;10(1):14790. - PMC - PubMed
    1. ID Federation. IDF Diabetes Atlas, 10th edn. https://diabetesatlas.org/. (Accessed 28 April 2022) (2021).
    1. National Institute of Health Researches of Iran. Atlas of STEPwise Approach to Noncommunicable Disease (NCD) Risk Factor Surveillance (STEPs) 2021, 1–631 (Spring, 2022).
    1. Javanbakht M, Mashayekhi A, Baradaran HR, Haghdoost A, Afshin A. Projection of diabetes population size and associated economic burden through 2030 in Iran: Evidence from micro-simulation Markov model and Bayesian meta-analysis. PLoS ONE. 2015;10(7):e0132505. - PMC - PubMed

Publication types

LinkOut - more resources