Research Article | | Peer-Reviewed

Changes in the Prevalence of Diabetes in Bulgaria over an 18-Year Period (2006-2024)

Received: 28 July 2024     Accepted: 16 August 2024     Published: 6 September 2024
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Abstract

The international medical community is increasingly aware that diabetes is a major global health threat and poses increasing challenges to public health and health systems worldwide. Aim: To compare the results of three national cross-sectional studies on diabetes prevalence in Bulgaria (2006, 2012 and 2024) and to assess the dynamics. Material and Methods: The three studies included 2396, 2033 and 936 subjects respectively. The United Nation / The International Diabetes Federation (2006) diagnostic criteria were applied, and the data were evaluated according to type of settlement and age. Results: Diabetes prevalence was 7.9% in 2006 and 9.55% in 2012 (p = 0.06). This difference is due to the greater rise in men (9.2% to 11.5%, p = 0.09) compared to women (6.9% to 7.7%, NS). In the next period, 2012 - 2024, the prevalence of diabetes in general, as well as the prevalence in men and women increased significantly. (Diabetes in general - from 9.6% to 15.7%, p < 0.001; diabetic men - from 11.5% to 21.2%, p < 0.001; diabetic women – from 7.8% to 10.4%, p < 0.016). The prevalence of diabetes nearly doubled, while the population decreased and its structure, lifestyle and diet changed. Obesity significantly increased over a 18-year period - 2024 vs. 2006 (33.3% vs. 26.7%, p < 0.001). The prevalence of diabetes increased with age, with significant rise in the 30-39 age group for 2012 - 2024, from 1.7% to 4.5% (p < 0.047) and more sharply when comparing 2006 - 2024 – from 0.9% to 4.5% (p < 0.002). There was a similar increase in the next age group. For the age 60-79, the prevalence reached 29.9%, i.e. every third person. As arterial hypertension is significantly more common in diabetics, its role as a risk factor is indisputable. Conclusion: The health care system should be readjusted according to the new reality for early diagnose of diabetes in risk groups and adequate modern care.

Published in Clinical Medicine Research (Volume 13, Issue 4)
DOI 10.11648/j.cmr.20241304.12
Page(s) 45-54
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Diabetes Prevalence, Diabetes Dynamic, Age, Obesity, Diabetes Epidemic

1. Introduction
Diabetes is a serious chronic disease characterized by an incresed blood sugar due to impaired β-cell biology and/or impaired insulin action .
The international medical community has become increasingly aware that diabetes is a major global health threat, posing challenges to public health and to the health systems worldwide. The World Health Organisation (WHO) has identified diabetes as one of three target diseases in its Global Plan for the Prevention and Control of Noncommunicable Diseases . The Global Diabetes contract, established in 2021, aims to improve access to health care and better work with those living with diabetes. The United Nations (UN) considers diabetes care as indicator for the level of countries' health systems, aiming to achieve universal health coverage for reducing by a third the rate of premature death due to diabetes and other non-communicable diseases by 2030, as described in UN Sustainable Development Goal 3 . The prevalence of diabetes is almost entirely determined by type 2 diabetes, which accounted for more than 96% of diabetes cases worldwide in 2021, and the analyses focus mainly on this type of diabetes. Today it must be recognized that Diabetes mellitus is a significant global health problem with a high burden on the population and healthcare systems. Approximately 11% of the world population (537 million people), aged 20–79 lived with diabetes in 2021. This number is expected to increase to 783 million by 2045 . In the last decade, the number of people living with diabetes aged 20–79 has increased by 62% globally. Monitoring diabetes trends is crucial for diabetes management and healthcare policy . World Health Organization (WHO) analyzes predict that almost 50% of the expected increased prevalence of diabetes will be due to changing demographic profiles, and therefore countries will need to invest in their health systems to cope with the expected increase in the number of diabetics .
The analysis of Centers for Disease Control and Prevention on the prevalence of diabetes in the world indicates shocking statistic data for a 34-year period (1980-2014) of the WHO, when 400% increase (from 109 to 422 million) in diabetes was reported worldwide .
The Bulgarian Society of Endocrinology carried out three population-based screening studies concerning the most common endocrine disorders, cardiovascular risk factors (obesity, arterial hypertension, dyslipidemia), and diabetes in 2006, 2012 and 2024 .
The aim of the current study was to compare the data from the three nationwide cross-sectional studies of diabetes prevalence in Bulgaria (2006, 2012 and 2024) and to assess its dynamics and relationship with certain risk factors: age, gender, obesity and arterial hypertension.
2. Material and Methods
Precise criteria for the selection of the study participants were set in advance. The participants in the study were divided into groups by their age, gender and place of residence. This distribution was made according to the data from the population censuses in Bulgaria by the National Statistical Institute (NSI), documented in its regular reports and published in 2001, 2011 and 2022, the years before the relevant screenings in 2006, 2012 and 2024. Non-institutionalized individuals from the population were studied as advised in the Recommendations of NHANES (2022) .
Brief presentation of the three cross-sectional studies:
The first study of diabetes prevalence was carried out in January-February 2006. Twenty eight nests in six regions were organised, and 3813 subjects were selected randomly from the national population registry. A total of 2396 subjects (62.8%) who agreed to participate, signed an informed consent, and were included in the study. 1348 of them were females (55.8%) and 1068 were males (44.2%). The mean age of the participants was 47.7 ± 14.8 years (from 20 to 79) . The standardized diabetes prevalence data, as per the WHO recommendations, were published in the IDF Diabetes Atlas in 2009 as total prevalence and by age and gender as well .
The second study was carried out in January–February 2012. Thirty-six nests in 12 regions were organized, and 3450 adult subjects were randomly selected from the national population registry. A total of 2033 subjects (58.8%) agreed to participate, signed an informed consent, and were included in the study. 1076 of them were females (52.9%) and 957 were males (47.1%). The mean age of the participants was 49.3 ± 14.7 years (20–79) . The age structure of the samples in both studies was planned according to the IDF methodology for diabetes prevalence assessment in adults .
The third study was carried out from 25-th March to 16-th May 2024 in 16 regions with 51 nests. 1352 individuals aged from 20 to 79, randomly selected from regional population registers according to age, gender and place of residence were invited. A total of 936 persons (69.2%) agreed to participate, signed an informed consent, and were included in the study - 479 women (51.2%) and 457 men (48.8%). The mean age of the participants was 50.5 ± 13.6 years (from 20 to 79).
The participants in the three studies were further divided in age groups by decades (20–29; 30–39; 40–49; 50–59; 60–69; 70-79). The three sets of data were compared in view of type of settlement and age.
It should be noted that during this 18-year period there was a considerable change in the number of the population (decrease of more than 20%), as well as a change in its structure - age, sex, place of residence, financial capabilities. According to the reports of the National Statistical Institute (NSI) of Bulgaria, the country’s population of 20 years of age or older was 6,168,000 (31 December 2005), 6,011,713 (February 2011) and 4,904,382 (December 2022) .
The age structure of the samples in the studies was planned according to the IDF methodology for diabetes prevalence assessment in adults and the comprehensive guide to designing a research protocol, offering a step-by-step approach by J. Cimino and C. Braun, 2023 .
The studied groups were devided by gender, age, and type of place of residence according to the NSI reports. The three studies were cross-sectional. The sample size was calculated with the expectation of at least 6% prevalence of the studied variable among the target population, 95 % confidence level, and 5% absolute precision The geographic regions, the nests, the gender and age distribution of the sample were planned to represent the adult general population (from 20 to 79 years). All participants signed an informed consent approved by the local ethics committee at the University Hospital of Endocrinology, and the research was conducted in accordance with the Declaration of Helsinki. The participants filled in a questionnaire containing demographic data, current health status, medical history, family history for cardiovascular and thyroid disorders and diabetes, past history and therapies, menstrual status for the females, and current smoking. Height, body weight and sitting arterial pressure on the arm were measured. Hypertension was defined according to the IDF consensus for diabetes type 2 recommending arterial pressure levels up to 130/80 mmHg and the same recommendation in the last Guideline of European Society of Hypertension (ESH) 2023 .
Laboratory analysis
After a 12-hour overnight fast, a. cubitalis venipuncture blood samples were taken to determine baseline blood sugar. The participants had a standard oGTT with 75 g glucose in 200 ml of water and glycemia was tested at 120 minutes. An exception was made only for persons who presented evidence of existing diabetes. Two individuals refused to perform the oGTT and dropped out of the study. Venous blood was drawn at 0, 60 and 120 minutes in plasma tubes, containing Na2EDTA and NaF, as an inhibitor of glycolysis for stability of glucose in the samples. The samples were transported to the laboratory after centrifugation. All of the samples were analysed in one Central laboratory on the day of the blood sampling. Glucose was quantitatively determined using enzymatic reference method with hexokinase (Roche reagent) on Cobas e501 analyzer. The results were in mmol/L. Established precision using human samples and controls: 1) Intra assay: Level 1 (n=6) CV=1.12%; Level 2 (n=6) CV=0.42%; 2) Inter assay: Level 1 (n=30) CV=1.25%; Level 2 (n=30) CV=1.58%; 3) Two levels Intralaboratory quality control on a daily basis was performed.
The Laboratory participates in two EQA systems – Bulgarian EQAS and INSTAND and has certificates for this parameter.
Venous blood was taken separately in a special tube with the anticoagulant EDTA for the determination of HbA1c by immunoturbidimetric method after hemolysis of a whole blood sample. The method was certified following the National Program for Standardization of Glycated Hemoglobin (NGSP) and standardized according to the Diabetes Control and Complications Trial (DCCT) .
The analysis was conducted on the basis of the WHO (1994) and United Nation / IDF (2006) criteria to analyze the rate of increase of Diabetes in the Bulgarian population for a period of 18 years (2006 - 2024) . It should be noted that the first two screenings for diabetes in Bulgaria reported the prevalence of diabetes according to the above criteria, which necessitated that the current screening be analyzed precisely on the basis of the same criteria, in order to make it possible to assess the dynamics of diabetes in the country for the specified period. Diabetes was diagnosed after the United Nation / International Diabetes Federation (2006) diagnostic criteria were applied: Diabetes was diagnosed when fasting glucose ≥ 7.0 mmol/L or at 120 minutes glucose ≥ 11.1 mmol/L was measured; IGT was diagnosed when glucose level at 120 minutes was 7.8 - 11.0 mmol/L and at 0 minute glucose was < 7.0 mmol/L; IFG was diagnosed when glucose level at 0 minute was 6.1 - 6.9 mmol/L and at 120 minute glucose was < 7.8 mmol/L .
An analysis was made for the prevalence of diabetes in 2024 in the country based on updated data from the WHO / IDF Report (2016) to determine the current status of diabetes in the country and the data were published separately.
Statistical analysis
A. Descriptive and evaluation methods
Variance analysis of quantitative variables – mean, median, standard deviation, standard error of the mean, 95% confidence interval of the mean and median, minimum, maximum.
Frequency analysis of qualitative variables (nominal and rank), which includes absolute frequencies, relative frequencies (in percentages), cumulative relative frequencies (in percentages).
B. Hypothesis Testing Methods
Chi-square test or Fisher's exact test - search for a relationship between two qualitative variables.
Logistic regression analysis for odds ratios (OR).
The statistical analysis was performed using IBM SPSS Statistics 25. The critical significance level we used was α = 0.05. The corresponding null hypothesis is rejected when the P-value is less than α.
3. Results
Table 1 shows the dynamics in the prevalence of diabetes in total for the period 2006 - 2024, as well as among both sexes and for each age decade.
Table 1. Trends in the prevalence of diabetes - overall, for both sexes and by decade over an 18-year period (2006 - 2024).

Groups

2006

2012

p-value

2006

2024

p-value

2012

2024

p-value

Total

7,9%

9,6%

0,06

7,9%

15,7%

< 0,001

9,6%

15,7%

< 0,001

Females

6.9%

7,8%

0,43

6.9%

10,4%

< 0,002

7,8%

10,4%

< 0,016

Males

9.2%

11,5%

0,09

9.2%

21,2%

< 0,001

11,5%

21,2%

< 0,001

20-29

0%

0,6%

0,247

0%

1.5%

0,058

0,6%

1.5%

0,466

30-39

0.9%

1,7%

0,295

0.9%

4,5%

< 0,002

1,7%

4,5%

< 0,047

40-49

5.8%

4,9%

0,527

5.8%

9,9%

0,058

4,9%

9,9%

< 0,020

50-59

9.4%

15,7%

< 0,005

9.4%

18,9%

< 0,001

15,7%

18,9%

0,323

60-69

19%

17,5%

0,865

19%

29,9%

< 0,001

17,5%

29,9%

< 0,001

70+

24.6%

18,9%

0,174

24.6%

27%

0,692

18,9%

27%

0,168

First of all, it should be noted that for the first period 2006 - 2012, the prevalence of diabetes in general increased from 7.9% to 9.6%, p = 0.06. This difference was due to greater increase in men (9.2% to 11.5%, p = 0.09) compared to women (6.9% to 7.7%, NS). In this period, certain trends emerge, although they are not very distinct.
In the following period, 2012-2024, the prevalence of diabetes in general, as well as the incidence in men and women significantly increased (Diabetes in general - from 9.6% to 15.7%, p < 0.001; diabetic men - from 11.5% to 21.2%, p < 0.001; diabetic women – from 7.8% to 10.4%, p < 0.016).
The difference in the prevalence of the risk factors that contribute to diabetes (age, BMI, arterial hypertension) was explored. Table 2 shows comparison of the prevalence of the risk factors in the studied population.
Table 2. Distribution of arterial hypertension, normal, overweight and obesity in diabetics and general population in 2006, 2012, 2024.

2006

2012

2024

Diabetics

Population

Diabetics

Population

Diabetics

Population

Number/%

Number/%

Number/%

Number/%

Number/%

Number/%

Hypertension

153/190 (80.5%)

1053/2396 (43.9%)*

164/194 (84.5%)***

1002/2020 (49.6%)*/**

115/153 (74.2%)***

419/936 (44.8%)**

Body Mass Index (BMI kg/m2)

< 25

17/190 (8.9%)

863/2396 (36.0%)

22/194 (11.5%)

609/2021 (30.1%)

18/154 (11.7%)

294/931 (31.6%)

25-30

89/190 (46.8%)

889/2396 (37.1%)

73/194 (37.6%)

751/2021 (37.2%)

51/154 (33.1%)

327/931 (35.1%)

˃ 30

84/190 (44.2%)

640/2396 (26.7%)

99/194 (51.0%)

661/2021 (32.7%)

85/154 (55.2%)

310/931 (33.3%)

*p < 0.001; **p < 0.014; ***p < 0.017
In the general population, the dynamics of hypertension showed a significant increase in the first period (2006 - 2012) - from 43.9% to 49.6%, p < 0.001. In the next period (2012 - 2024), the incidence of hypertension declines and returns almost to its 2006 levels.
The diabetic group, had much higher level of hypertension compared to the general population – 80.5% vs. 43.9%, 84.5% vs. 49.6%, and 74.2% vs. 44.8% (for all p < 0.01). This trend of hypertension, observed in the general population in the period 2012-2024, is also demonstrated in diabetics, but at a higher level.
In the three years analyzed (2006-2012-2024), comparisons in terms of BMI showed that:
1) among the general population, obesity significantly increased in 2012 vs. 2006 (32.7% vs. 26.7%, p < 0.001) and in 2024 vs. 2006 (33.3% vs. 26.7%, p < 0.001).
2) obesity is significantly more common in diabetics compared to that of the population of the corresponding year of study [44.2% v.s. 26.77% (2006 y); 51% vs. 32.7% (2012 y); 55.2% vs. 33.3% (2024 y)], p < 0.001 for the three groups.
3) among the groups of diabetics, a significant increase in the proportion of obese diabetics was noted - from 44.2% to 51% and resp. to 55.2%, with significant difference only in 2024, compared with 2006 (55.2% v.s. 44.2%, p < 0.043).
To sum up, obesity has increased progressively, both in the general population and in the diabetic group over the 18-year period.
In a logistic regression model, age, gender and BMI were included as factors and diabetes as a dependent variable. Each of these three factors has a significant effect on the presence of diabetes as shown in table 3.
Table 3. Logistic regression analysis of odds ratio for the independent action of each risk factor for diabetes.

Independent variables (factors)

Odds ratio (action of a single factor)

P - value

Male v.s. female gender

2,089 (95%CI: 1,462-2,984)

<0.001

45-59 years vs. 20-44 years

5,238 (95%CI: 2,847-9,636)

<0.001

60-79 years vs. 20-44 years

9,734 (95%CI: 5,390-17,578)

<0.001

Overweight vs. normal weight

2,833 (95%CI: 1,614-4,973)

<0.001

Obesity vs. normal weight

5,793 (95%CI: 3,382 -9,922)

<0.001

4. Discussion
First of all, it should be noted that the prevalence of diabetes during the 18 years studied (2006 - 2024), increased progressively as shown in Table 1. Following the national data for the total population and the adult population (20-79 years) from NSI documented in its regular reports, an assessment was made of the number of diabetics in the country through the three regular cross-sectional studies (2006, 2012, 2024), shown in table 4.
Table 4. Extrapolated number of diabetics according to national diabetes prevalence data.

Screening conducted (year)

Prevalence of Diabetes

Number of population 20-80 years (NSI)

Extrapolated number of diabetics

2006

7.9%

6 168 000

487 272

2012

9.6%

6 011 713

577 056

2017-Follow-up 2012*

12.5%

6 011 713

751 464

2024

15.7%

4 904 382

769 987

*In 2017 i.e. 5 years after the 2012 screening, persons with fasting blood glucose above 5.6 - 6.0 mmol/L and persons with proven prediabetes (after oGTT-75 g glucose) were examined. After a new oGTT-75 g conducted in 2017, 61 more diabetics were discovered. It turns out that 5 years later, 50% of those with prediabetes in 2012 had become diabetic, as had 25% of those with fasting blood glucose above 5.6 - 6.0 mmol/L .
158 % increase in the number of diabetics was established over a period of 18 years. In comparison, the data of the IDF Diabetes Atlas (2021) show that in 2007 the total number of diabetics in the world was 246 million, while in 2021 it reached 537 million, i.e. an absolute increase of 218% which is double increase . According to the population of the country, there is an increase in diabetics by 199%, i.e. doubling. A specific feature for Bulgaria is the decreasing number of the population. In parallel with this, during this long period of 18 years, significant demographic changes developed - migration of mainly young population out of the country, migration of workable population to the big cities, financial problems for a significant part of the population with subsequent selection of unhealthy foods, as well as lack of education and traditions of doing physical activity. Research by some scientists indicates that low- and middle-income populations are rapidly shifting from traditional homemade food to processed fast food, which causes a significant increase in diet-related diabetes . A number of authors in the last 30 years (1990 - 2021) reported major behavioral changes in food systems - preference for high-calorie products, increased consumption of fat and sugar, and at the same time limited financial opportunities which do not allow provision of healthy food . There is an increasing trend worldwide for the prevalence of type 2 DM. The aging of the population, the rise of the middle class, and the spread of urbanization are all factors that contribute to the rise of obesity – a major risk factor for developing diabetes .
Khunti K., Valabhji J. (2023) analysis of risk factors for diabetes indicates that obesity is the leading cause of type 2 diabetes in 60% of cases. High BMI (52.2%), non-dietary foods (25.7%), environmental or occupational stress (19.6%), smoking (12.1%), insufficient exercise (7.4%) and use of alcohol (1.8%) are among the significant risk factors . Added to this is the reduced physical activity with modern transport options and the lack of traditions and education for systematic physical activity as part of a healthy lifestyle .
In this study assessment is that obesity plays a significant role in the onset of diabetes. The research demonstrated that in the population as a whole, the prevalence of normal weight decreased over the years by about 5% (NS), while obesity increased by 6 percent in 2012 vs. 2006 (32.7% vs. 26.7%, p < 0.001) and by 6,6 percent in 2024 vs. 2006 (33.3% v.s. 26.7%, p < 0.001).
In the groups of diabetics, the dynamics in the prevalence of overweight and obesity is much more pronounced. The trend for overweight is downward, with a 9.2% decrease for the period 2006-2012 and a further 4.5% decrease for the following period 2012 - 2024, or a total of 13.7% over an 18-year period (p < 0.05). At the same time, the trend of obesity is upward, increasing by 6.8% for the period 2006 - 2012 and for the next period 2012-2024 there is a rise of another 4.2%, or a total of 11.0% for the period 2006 - 2024 (p < 0.043).
In 2006, the ratio between overweight and obesity was slightly in favor of overweight (by 2.6%). In 2012, the ratio sharply reversed and obesity dominated with 13.4% over overweight, and in 2024 this difference still increased and reached 22.1%. Therefore, BMI > 25 kg/m2 in diabetics is maintained within very close limits (91-88.1%), but with a reversal of the ratio between obesity: overweight in favor of the more severe disorder, i.e. of obesity. Thus, in 2024, more than half of diabetics (55.7%) are obese, which emphasizes the direct strong correlation between obesity and diabetes.
There was also an inverse relationship, with an increased prevalence of diabetes among obese individuals, and the prevalence of this phenomenon was estimated in the NHANES analysis (2021). As BMI increases, so does the prevalence of diabetes. While the prevalence of diabetes is 6.6% with normal weight, it is 10.3% with overweight and 23.3% with obesity. Men have a higher prevalence of diabetes than women in all three BMI categories i.e. not dependent on BMI . Table 5 presents the NHANES data (2021) for the obesity-diabetes correlation - total and in both sexes.
Table 5. Relationship between obesity and prevalence of diabetes /general/ and in both sexes.

Indicator

Under 25 kg/m2

25-30 kg/m2

Above 30 kg/m2

Total (%)

6.6

10.3

23.3

Women (%)

4.9

7.4

22.8

Men (%)

9

12.7

24

The three Bulgarian analyses, as well as the NHANES analysis (2021), show that men are more likely to have diabetes than women. In the today’s study, an increase in diabetes was observed: in total for the period 2006 - 2012 from 7.9% to 9.6%, p = 0.06, with a distinct increase in men (9.2% to 11.5%, p = 0.09) compared to women (6.9% to 7.7%, NS). In the following period, 2012 - 2024, the incidence of diabetes in general, as well as the incidence in men and women, significantly increased (Diabetes in general - from 9.6% to 15.7%, p < 0.001; diabetic men - from 11.5% to 21.9%, p < 0.001; diabetic women – from 7.8% to 11.7%, p < 0.016), and again the increase is mostly for men. The higher prevalence of diabetes in men versus women of the same age group could be related to the impact of obesity, socioeconomic factors, biological and hormonal differences. It is believed that men with a lower BMI threshold can develop Diabetes because their insulin resistance is more pronounced .
The role of age is essential for the appearance of diabetes and this is proven in the study. The relationship between age and diabetes is very strong and definite for all studied periods. It should stress the fact that the average age of those examined in 2006 was 47.72 ± 14.82 years, and in 2012 – 49.30 ± 14.7 years (T = 3.559, p < 0.001). The average age of those examined in 2024 was even higher, 50.56 ± 13.6 years, and the difference was significant in 2012 (T = 2.254, p < 0.05), and also in 2006 (T = 5.289, p < 0.001). The data confirmed that the population was not only decreasing over the 18-year period by about 21%, but it was also "aging", which may have played an important role for the increase in diabetes. Further analysis by decade of the three groups of participants from 2006, 2012, 2024 showed many interesting changes in this 18-year period (Table 1).
In 2006, there was not a single case of diabetes in the 20-29 age group, but in the following decades the incidence of diabetes progressively increased to 19% for 60-69 years and resp. 24.6% for the 70+ group.
In 2012, in the 20-29 age group, there were already 0.6% cases of diabetes, which increased with age and reached 17.5% for 60-69 age group, resp. 18.9% for the 70+ age group.
In 2024, the 20-29 age group had 2.5 times more cases of diabetes than in 2012 y, and the incidence in the following age groups was higher than in previous periods, reaching its highest levels of 29.9% for 60-69 age group, respectively 27% for the 70+ age group.
This recurrence in all three studied periods (2006, 2012, 2024) reinforces the direct relationship between advancing age and increase in the prevalence of diabetes. The particularities of the dynamics in the prevalence of diabetes in individual decades for this 18-year period should be specially noted. While for the first 6-year period (2006 - 2012) only for the 50-59 age group there was a significant increase in the prevalence of diabetes (from 9.2% to 11.5%, p = 0.09), in the second 12-year period ( 2012 - 2024) dramatic changes took place and a "rejuvenation" of diabetes has occurred. Its frequency increased significantly in the 30-39 age group (for 2012 - 2024, from 1.7% to 4.5%, p < 0.047) and much more sharply when comparing 2006 - 2024 - from 0.9% to 4.5%, p < 0.002. Diabetes significantly increased in the 40-49 age group (from 4.9% to 9.9%, p < 0.02). The rise in the 50-59 age group was confirmed, with increased frequency for the period 2012 - 2024 (from 15.7% to 18.9%, NS), and more significantly in 2024 against 2006 (from 9.4% to 18.9 %, p < 0.001). During the second 12-year period (2012 - 2024) for the 60-69 age group the prevalence of diabetes significantly increased (from 17.5% to 29.9%, p < 0.001) and practically every third after the age of 60 has diabetes.
The distribution of diabetes prevalence in the three age groups presented by NHANES (2021) is as follows: 20-39 age group - 4.4% (95%CI:2.9-6.2), 40-59 age group - 16.4% (95%CI:13.4-19.9) and over 60 age group - 30.0% (95% CI:27.2-32.9). Additional data for both sexes are presented in Table 6 .
Table 6. NHANES (2021) diabetes prevalence data – total and in both sexes.

Indicator

20-39y

40-59 y

> 60 y

Women (%)

4.7 (95%CI:3.1-6.9)

15.9 (95%CI:10.9-21.9)

24.4 (95%CI:19.4-30.1)

Men (%)

4 (95%CI:1.7-7.9)

17.1 (95%CI:12.8-22.1)

36.3 (95%CI:30.8-42.1

In the same NHANES (2021) statistical analysis, the relationship between age and obesity, and hence the impact on diabetes prevalence, was also considered. While in the 20-39 age group obesity was 39.8% (95%CI:35.3-44.3), in the 40-59 age group it was 44.3% (95%CI:41.3-47.4) and 41.5% in the 60 – over age group (95% CI:38.4-44.7) .
A model with all three factors simultaneously (sex, age, BMI) was additionally analyzed to estimate the odds ratio. Male gender was associated with OR=2.243 (95%CI:1.511-3.331), p<0.001; 45-59 age group was associated with OR=4.845 (95%CI:2.599-9.032), p<0.001; 60-79 age group was associated with OR=9.774 (95%CI:5.296-18.040), p<0.001; overweight was associated with OR=1.821 (95%CI:1.008-3.288), p<0.047; obesity was associated with OR=3.410 (95%CI:1.935-6.010), p<0.001. The analysis showed a direct strong correlation between the above risk factors and diabetes, which give the reason to create and conduct diabetes screening programs aimed mainly at males, adults over 44 and obese individuals.
The other risk factor for diabetes is hypertension, and its prevalence is closely related to both age and weight. The data of National Health Statistics Reports (2021) show that the prevalence of hypertension increases with age: 18-39 age group - 23.4% (95%CI:20.5-26.5), 40-59 age group - 52.4% (95%CI:48.7-56.2) and 60+ age group - 74.1% (95%CI:71.4-76.7); with weight gain: normal weight: 31.1% (95%CI:26.8-35.6), overweight: 40.6% (95%CI:37.9-43.3) and obese: 57.7% (95%CI:54.8-60.6) and was more common among men than among women – 48.7% (95%CI:44.8-52.6) compared to 41.2 % (95%CI:38.5-44.0) .
Hypertension is twice as common in diabetics as in those without diabetes. In addition, hypertensive patients often have insulin resistance and are at greater risk of diabetes than normotensive individuals . According to Akalu Y. et al. Hypertension and T2DM share common risk factors and therefore usually co-occur. Approximately 58% of diabetics have arterial hypertension .
In this study, throughout the18-year period, a much higher prevalence of hypertension was permanently maintained in the diabetic group compared to the general population - 80.5% vs. 43.9%, 84.5% vs. 49.6%, and 74.2% vs. 44.8% (for all p < 0.01). It can be summarized that, in different periods, hypertension in diabetics is 50% to 83% more common compared to the general population. Insulin resistance is a common feature of both prediabetes and prehypertension and precedes progression to both disease states, particularly in individuals who gain weight over time . Diabetes and hypertension are closely related due to the presence of similar risk factors, such as endothelial dysfunction, vascular inflammation, arterial remodeling, atherosclerosis, dyslipidemia, and obesity. They also share common mechanisms, such as RAAS activation, oxidative stress, inflammation, and probably all of these close the link between diabetes and hypertension . Several longitudinal studies have shown that hypertension is an important risk factor for T2DM and may play a vital role in its prognosis .
It can be summarized that diabetes is a major public health threat worldwide due to its rapid growth and significant impact on health and quality of life .
5. Conclusion
The results of the present study show a rapid double increase in the prevalence of diabetes in the last two decades. It is essential to understand better the disparities in risk factor profiles and diabetes burden on the population, to encourage strategies for successful control of diabetes risk factors. Age, obesity, hypertension and male gender are the leading risk factors for diabetes in our population. All this necessitates the introduction of preventive programs for early diagnosis in the country health care system, as well as for regulated adequate care aimed at risk groups of the population.
Abbreviations

WHO

World Health Organisation

UN

United Nation

NSI

National Statistical Institute

NHANES

National Health and Nutrition Examination Survey

IDF

International Diabetes Federation

ESH

European Society of Hypertension

oGTT

Oral Glucose Tolerance Test

NGSP

National Program for Standardization of Glycated Hemoglobin

DCCT

Diabetes Control and Complications Trial

IGT

Impaired Glucose Tolerance

IFG

Impaired Fasting Glucose

OR

Odds Ratio

IBM

International Business Machines Corporation

SPSS

Statistical Package for the Social Sciences

BMI

Body Mass Index

DM

Diabetes Mellitus

T2MD

Type 2 Diabetes Mellitus

Acknowledgments
The authors thank the endocrinologists who provided local support: V. Jotova (Troyan), E. Mladenov (Vratza), D. Atanassova (Razgrad), S. Izetova (Kardjali), M. Rizova (Kustendil), K. Anastassov (Sandansky); S. Ivanova (Nova Zagora), A. Iakov (Gulianci), T. Stoykov (Haskovo), E. Apostolova (Smolyan), M. Mazalova (Dimitrovgrad), V. Mitshorova (Veliko Tarnovo), V. Gusterova (Petrich), J. Tagarev (Yambol). Technical support: Z. Metodieva, E. Borissova, R. Vasileva, N. Donsheva.
Author Contributions
Anna-Maria Borisova: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing
Boyana Trifonova: Conceptualization, Data curation, Formal Analysis, Investigation, Project administration, Writing – original draft, Writing – review & editing
Lilia Dakovska: Data curation, Formal Analysis, Investigation, Methodology, Project administration, Validation, Writing – original draft, Writing – review & editing
Neriman Topchieva: Data curation, Formal Analysis, Investigation, Project administration, Writing – original draft
Mircho Vukov: Conceptualization, Data curation, Formal Analysis, Investigation, Methodology, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing
Funding
This study was supported by grant from the Bulgarian Society of Endocrinology (Project Number 1/2024) as part of the National Epidemiological Program for Еndocrine diseases in Bulgaria, 2006-2024. The study was conducted, analyzed, and interpreted by the investigators independent of the industry sponsors.
Conflicts of Interest
The authors declare no conflicts of interest.
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Cite This Article
  • APA Style

    Borissova, A., Trifonova, B., Dakovska, L., Topchieva, N., Vukov, M. (2024). Changes in the Prevalence of Diabetes in Bulgaria over an 18-Year Period (2006-2024). Clinical Medicine Research, 13(4), 45-54. https://doi.org/10.11648/j.cmr.20241304.12

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    ACS Style

    Borissova, A.; Trifonova, B.; Dakovska, L.; Topchieva, N.; Vukov, M. Changes in the Prevalence of Diabetes in Bulgaria over an 18-Year Period (2006-2024). Clin. Med. Res. 2024, 13(4), 45-54. doi: 10.11648/j.cmr.20241304.12

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    AMA Style

    Borissova A, Trifonova B, Dakovska L, Topchieva N, Vukov M. Changes in the Prevalence of Diabetes in Bulgaria over an 18-Year Period (2006-2024). Clin Med Res. 2024;13(4):45-54. doi: 10.11648/j.cmr.20241304.12

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  • @article{10.11648/j.cmr.20241304.12,
      author = {Anna-Maria Borissova and Boyana Trifonova and Lilia Dakovska and Neriman Topchieva and Mircho Vukov},
      title = {Changes in the Prevalence of Diabetes in Bulgaria over an 18-Year Period (2006-2024)
    },
      journal = {Clinical Medicine Research},
      volume = {13},
      number = {4},
      pages = {45-54},
      doi = {10.11648/j.cmr.20241304.12},
      url = {https://doi.org/10.11648/j.cmr.20241304.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cmr.20241304.12},
      abstract = {The international medical community is increasingly aware that diabetes is a major global health threat and poses increasing challenges to public health and health systems worldwide. Aim: To compare the results of three national cross-sectional studies on diabetes prevalence in Bulgaria (2006, 2012 and 2024) and to assess the dynamics. Material and Methods: The three studies included 2396, 2033 and 936 subjects respectively. The United Nation / The International Diabetes Federation (2006) diagnostic criteria were applied, and the data were evaluated according to type of settlement and age. Results: Diabetes prevalence was 7.9% in 2006 and 9.55% in 2012 (p = 0.06). This difference is due to the greater rise in men (9.2% to 11.5%, p = 0.09) compared to women (6.9% to 7.7%, NS). In the next period, 2012 - 2024, the prevalence of diabetes in general, as well as the prevalence in men and women increased significantly. (Diabetes in general - from 9.6% to 15.7%, p Conclusion: The health care system should be readjusted according to the new reality for early diagnose of diabetes in risk groups and adequate modern care.
    },
     year = {2024}
    }
    

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  • TY  - JOUR
    T1  - Changes in the Prevalence of Diabetes in Bulgaria over an 18-Year Period (2006-2024)
    
    AU  - Anna-Maria Borissova
    AU  - Boyana Trifonova
    AU  - Lilia Dakovska
    AU  - Neriman Topchieva
    AU  - Mircho Vukov
    Y1  - 2024/09/06
    PY  - 2024
    N1  - https://doi.org/10.11648/j.cmr.20241304.12
    DO  - 10.11648/j.cmr.20241304.12
    T2  - Clinical Medicine Research
    JF  - Clinical Medicine Research
    JO  - Clinical Medicine Research
    SP  - 45
    EP  - 54
    PB  - Science Publishing Group
    SN  - 2326-9057
    UR  - https://doi.org/10.11648/j.cmr.20241304.12
    AB  - The international medical community is increasingly aware that diabetes is a major global health threat and poses increasing challenges to public health and health systems worldwide. Aim: To compare the results of three national cross-sectional studies on diabetes prevalence in Bulgaria (2006, 2012 and 2024) and to assess the dynamics. Material and Methods: The three studies included 2396, 2033 and 936 subjects respectively. The United Nation / The International Diabetes Federation (2006) diagnostic criteria were applied, and the data were evaluated according to type of settlement and age. Results: Diabetes prevalence was 7.9% in 2006 and 9.55% in 2012 (p = 0.06). This difference is due to the greater rise in men (9.2% to 11.5%, p = 0.09) compared to women (6.9% to 7.7%, NS). In the next period, 2012 - 2024, the prevalence of diabetes in general, as well as the prevalence in men and women increased significantly. (Diabetes in general - from 9.6% to 15.7%, p Conclusion: The health care system should be readjusted according to the new reality for early diagnose of diabetes in risk groups and adequate modern care.
    
    VL  - 13
    IS  - 4
    ER  - 

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Author Information
  • Clinic of Endocrinology, University Hospital Sofiamed, Sofia, Bulgaria; Department of Internal Diseases, Faculty of Medicine, Sofia University “Saint. Kliment Ohridski”, Sofia, Bulgaria

  • Clinic of Endocrinology, University Hospital Sofiamed, Sofia, Bulgaria; Department of Internal Diseases, Faculty of Medicine, Sofia University “Saint. Kliment Ohridski”, Sofia, Bulgaria

  • Clinic of Endocrinology, University Hospital Sofiamed, Sofia, Bulgaria

  • Clinic of Endocrinology, University Hospital Sofiamed, Sofia, Bulgaria

  • Clinic of Endocrinology, University Hospital Sofiamed, Sofia, Bulgaria