The incidence of type 1 diabetes mellitus (T1DM) increased worldwide.
The objective of the paper was to compare the incidence trend of T1DM in children and adolescents aged 0–19 and in adults under 30 years of age in Serbia from 2006 to 2017. Additional aim was to compare incidence rates of T1DM and type 2 diabetes mellitus (T2DM) among adults aged 20–24 and 25–29 years of age.
Methods
Trends and annual percentage change (APC) of the incidence rate with corresponding 95% confidence intervals (CI) were calculated by Joinpoint Regression Analyses.
Results
We found a significant increase of incidence in children aged 5–9 with the APC of 5.7% (95%CI: 2.3–9.1), and in children aged 10–14 with the APC of 2.1% (95%CI: 0.6–3.6). A significant decrease of incidence was determined in adolescents aged 15–19 with the APC -4.9% (95%CI: − 8.9 to – 0.7) and in adults aged 25–29 with the APC -7.3% (95%CI: − 12.5 to − 1.8).
Conclusion
The increase of incidence in children aged 0–14 and its decrease after 15 years of age showed that T1DM is predominantly a metabolic disease of children in Serbia. A significant increase in incidence was recorded in two age groups, namely 5–9 and 10–14 years of age. The highest increase was in children aged 5–9 and the highest incidence rate was in children aged 10–14. An insignificant increasing of T2DM incidence was observed in young adults aged 25–29. The increase in incidence rates in children, but not in young adults, suggests that the precipitating factors of children-onset disease may differ from those of adult-onset T1DM.
Hinweise
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
APC
Annual Percentage Change
ASR
Age-Standardized Rate
CI
Confidence Intervals
T1DM
Type 1 Diabetes Mellitus
T2DM
Type 2 Diabetes Mellitus
WHO
World Health Organization
Background
Type 1 diabetes mellitus (T1DM) can develop at any age but it is the most common metabolic disease in children and youth with incidence increased by 2–5% worldwide (5.3% in North America, 4.0% in Asia and 3.2% in Europe) with the exception of South America and the West India where T1DM is less prevalent and where there is a 3.6% decrease in incidence [1, 2].
The highest incidence (> 20/100,000 per year) was reported in Sardinia, Finland, Sweden, Norway, Portugal, the United Kingdom (UK), Canada and New Zealand. The lowest incidence (< 1/100,000 per year) was reported in the populations from China and South America. In Africa, the incidence is intermediate and in Asia it is low, with the recorded exception of Kuwait [3‐5].
Anzeige
T1DM contributes to 5–10% of the total cases of diabetes mainly in children and youth worldwide [6] and in Serbia T1DM accounts for 5% of all registered DM patients [7].
T1DM is a heterogeneous disease characterized by the autoimmune destruction of the beta pancreatic cells that produce insulin, which leads to severe insulin deficiency and which is followed by the raising of blood glucose levels [8]. The most common causes of T1DM subtype (Type 1a) are both genetic predisposition and autoantibodies. A small number of T1DM cases results from an idiopathic destruction or failure of beta pancreatic cells (Type 1b), [9‐11].
Interaction between environmental factors triggers autoimmune response in genetically susceptible individuals [12] and the majority of the international variations in the incidence has been attributed to exposure to risk factors related to environment. The environmental factors, such as exposure to known or suspected risk factors related to nutrition (cow’s milk, breastfeeding, wheat gluten, and vitamins D and E) [12] and exposure to a number of toxic chemicals (bisphenol, dioxins, persistent organic pollutants, pesticides), chemical wastes and exposure to some viral infections have also been linked to the risk of developing T1DM [13].
Prevalence of childhood obesity has significantly increased from < 1% in 1975 to 7.8 and 5.6% in 2016 for boys and girls worldwide [14]. According to the new findings, children with T1DM were heavier than their peers before clinical manifestation of the disease and there is overall evidence supporting the association between childhood obesity or higher Body Mass Index (BMI) and subsequent greater risk for the development of T1DM [14, 15].
Anzeige
It is considered that overweight and obesity are now prevalent among children and young adults with T1DM, and the established “accelerator hypothesis” explained the association between that greater body weight and the increased demand for peripheral insulin. Appearance of glucotoxicity and lipotoxicity which is determined as the ectopic lipid disposition in pancreatic islets can act as additional accelerators of beta cell apoptosis and the subsequent onset of T1DM [14, 15].
Data of T1DM incidence in Sweden has been partially attributed to the good control of childhood obesity [16].
The greatest number of new T1DM cases are typically diagnosed in childhood and the peak age is 10–14 [16, 17]. About 10% of adults first diagnosed as type 2 diabetes mellitus (T2DM) were found to have antibodies to beta pancreatic cells. Onset of T1DM 1 in adolescents and young adults older than 15 years of age might have a longer asymptomatic period before clinical presentation of the disease because of the lesser destruction of pancreatic beta cells, less severe loss of insulin secretion and lower frequencies of multiple antibodies than in children with this DM type [18].
While boys and girls are almost equally affected with T1DM, in adulthood males have 50–70% higher risk to suffer from this type of DM than females [19]. The age at which T1DM starts might be an important factor for excess risk of premature death and higher cardiovascular risk in these patients [20]. Females who were diagnosed with T1DM before the age of 10 are exposed to a higher risk of developing cardiovascular complications and significant diminishing of life expectancy [21].
Because there is no sufficient data concerning the T1DM incidence in young adults compared to data concerning children in Serbia we set up these objectives in the paper.
The first objective of the paper was to determine and to compare the incidence trend of T1DM in children and youth aged 0–19 and in adults under 30 years of age. The additional objective was to compare incidence rates of T1DM and T2DM among adults aged 20–24 and 25–29.
Methods
A descriptive study was performed. The data about the T1DM incidence were obtained from the Population-Based Serbian Diabetes Registry for the period 2006–2017 [7]. Data were analyzed only for the population of Serbia, because data from the territory of the Autonomous Province of Kosovo and Metohija have been unavailable since 1998. The Register was established in 1980. Now days new set up of the Serbian Diabetes Registry implied its decentralization. The regional Registries were established and they are kept on the level of the administrative districts and are located at the Institutes of Public Health. The database for the entire Serbia is managed by the “Dr Milan Jovanovic Batut” Institute of Public Health of Serbia [7]. The notification of new cases and the deceased from DM is obligatory by law in Serbia. Diagnostic criteria are presented in Table 1.
Statistical analysis
All the calculations were done by SPSS software package version 18.0 and S-PLAS program, version 2000.
Anzeige
Three types of incidence rates were calculated: crude, age-specific, and age-standardized, calculated by the direct method using the Segi’s World Population as the Standard [22] and expressed as new cases per 100.000 persons. The population data was obtained from the 2002 and 2011 Censuses. Age-specific rates were computed for 5-year age groups; 0–4,5-9,10–14,15–19, 20–24 and 25–29.
In order to compare average annual rates of T1DM incidence among different age groups a Chi-squared test was calculated. Trends and annual percentage change (APC) of the incidence rate with corresponding 95% confidence intervals (CI) were calculated by Joinpoint Regression Analyses. For the regression analyses, the Joinpoint Regression Program version 4.4.0.0. was used (available at http: //surveillance.cancer.gov/joinpoint) [23]. Age-Standardized Rates (ASR) were dependent variable and year was the independent variable. The trend was considered to be significantly increasing (positive change) or decreasing (negative change) when the p-value was below 0.05 (p < 0.05).
Results
In the period from 2006 to 2017 the total number of new diagnostic cases of T1DM in individuals from 0 up to 30 years of age was 3506 (1916 males and 1590 females). Newly diagnosed persons aged 0–14 years of age accounted for 58.1%, adolescents aged 15–19 years of age represented 16.5 and 25.4% of all new cases of T1DM were registered in young adults aged 20–29 years of age. In the age group 0–14 years of age boys accounted for 51.7% and girls 48.3%. There were 1045 new cases of T2DM in young adults aged 20–29.
During the observed period, the highest annual Age-Standardized Rate (ASR) of incidence was in the age group of 10–14 and it ranged from 18.84/100,000 (2006) to 25.58/100,000 in 2016, (in average 21/100,000), and the lowest was in the age group of 25–29, ranging from 3.09/100,000 (2015) to 14.20/100,000 (2011), (in average 8.22/100, 000). The twice as lower average annual incidence rate was registered in the age group 15–19 in comparison to the 10–14 age group (Table 2). Annual incidence rate was lower in adults aged 20–24 and 25–29 years of age compared with all age groups in children from 0 to 14 years of age (Table 2).
Table 1
Diagnostic criteria for diabetes and related stages of impaired glucose homeostasis [2]
Based on subsequent values of glycemia
Based on the value of glycemia during an OGTT:
(2 values of glycemia in 2 subsequent days):
Normal fasting plasma glucose concentration
Normal glucose tolerance
Fasting plasma glucose concentration < 6,1 mmol/L
Plasma glucose concentration during an OGTT in the
(< 110 mg/dL)
120th
minute < 7,8 mmol/L (< 140 mg/dL)
Impaired Fasting Glycaemia (IFG)
Impaired Glucose Tolerance (IGT)
Fasting plasma glucose concentration ≥ 6,1 mmol/L
Plasma glucose concentration during an OGTT in the
(110 mg/dL) and < 7,0 mmol/L (126 mg/dL)
120th
minute between 7,8 mmol/L (140 mg/dL) and
11,1 mmol/L (200 mg/dL)
Diabetes Mellitus
Diabetes Mellitus
Fasting plasma glucose concentration ≥ 7,0 mmol/L
Plasma glucose concentration during an OGTT in the
(126 mg/dL) or glycemia in any random blood sample
120th
minute ≥11,1 mmol/L (200 mg/dL)
(regardless of meals) ≥ 11,1 mmol/L (200 mg/dL)
with the presence of typical diabetes symptoms
(polyuria, polydipsia, weight loss)
Table 2
Annual Age-Standardized Rates of T1DM incidence in Serbia from 2006 to 2017 by age
Annual Age-Standardized Rate of Incidence
aNumber of cases
0–4
5–9
10–14
15–19
20–24
25–29
2006
361
8.43
11.52
18.84
14.45
14.61
13.37
2007
302
3.49
16.15
19.49
13.89
8.19
9.35
2008
274
9.68
9.18
19.96
8.04
5.28
8.79
2009
290
6.24
16.67
21.07
9.59
8.32
8.40
2010
309
9.52
15.42
19.03
15.60
8.12
8.24
2011
326
12.01
16.58
20.64
10.51
9.63
14.20
2012
298
9.34
18.53
23.65
9.75
8.90
5.82
2013
260
8.45
19.70
19.91
8.24
7.46
6.75
2014
281
11.52
19.69
19.76
10.39
9.26
6.90
2015
221
7.30
19.63
20.74
5.80
5.05
3.09
2016
291
9.45
24.04
25.58
8.21
7.10
5.61
2017
293
7.96
18.39
25.38
8.56
7.52
6.86
average annual Standardized Rate
8.56
17.00
21.10
10.42
8.36
8.22
aNumber of cases in age group 0–29
Table 3
Changes of T1DM incidence rates in age groups from 0 to 29 years of age in Serbia in the period from 2006 to 2017: results of Joinpoint Analysis
Group
Lower
Upper
aAPC
95% CI Lower CI
Upper CI
p
0–4
2006
2017
3.1
−2.9
9.5
0.278
5–9
2006
2017
5.7
2.3
9.1
0.004
10–14
2006
2017
2.1
0.6
3.6
0.011
15–19
2006
2017
−4.9
−8.9
−0.7
0.026
20–24
2006
2017
−3
−7.7
1.9
0.201
25–29
2006
2017
−7.3
−12.5
−1.8
0.015
aAverage Percentage Change-APC
Table 4
The comparison of the average annual age-standardized incidence rates among age groups by Chi-squared test
Group 1 T1DM
Group2 T1DM
aASR 1
aASR 2
Chi1
p
0–4
5–9
8.56
17.00
9.66
0.002
0–4
10–14
8.56
21.10
18.59
0.000
0–4
15–19
8.56
10.42
0.67
0.414
0–4
20–24
8.56
8.36
0.01
0.922
0–4
25–29
8.56
8.22
0.03
0.866
5–9
10–14
17.00
21.10
1.60
0.207
5–9
15–19
17.00
10.42
6.04
0.014
5–9
20–24
17.00
8.36
12.17
0.000
5–9
25–29
17.00
8.22
13.21
0.000
10–14
15–19
21.10
10.42
14.16
0.000
10–14
20–24
21.10
8.36
23.38
0.000
10–14
25–29
21.10
8.22
25.20
0.000
15–19
20–24
10.42
8.36
0.96
0.326
15–19
25–29
10.42
8.22
1.15
0.283
20–24
25–29
8.36
8.22
0.01
0.941
aaverage annual Age-Standardized Rate-ASR
1 Chi-squared test
Table 5
The comparison of the average annual age-standardized incidence rates among young adults aged 20–24 and 25–29 years of age by type of DM
Age-group
and DM type
Age-group
and DM type
aASR1
aASR2
Chi 1
p
20–24 T1DM
20–24 T2DM
8.36
8.45
0.81
0.368
25–29 T1DM
25–29 T2DM
8.22
11.75
3.70
0.054
aaverage annual Age-Standardized Rate-ASR
1 Chi-squared test
Anzeige
Figure 1 and Table 3 show the results of Joinpoint regression analysis of T1DM age-standardized incidence rates in Serbia, during the period 2006–2017.
Fig. 1
Incidence trend of diabetes mellitus type 1 based on the age-standardized incidence rates in Serbia from 2006 to 2017
×
Figure 1 presents the results of the Jointpoint regression analysis of the incidence trends based on the age-standardized incidence rates of T1DM in Serbia in the period from 2006 to 2017.
During the 12-years observation period there was a significant increase of incidence in children from 5 to 9 age group with the APC of 5.7% yearly (95%CI: 2.3–9.1), whereas the age group 10–14 had APC of 2.1% yearly (95%CI: 0.6–3.6). A significant decreasing trend of incidence was determined in adolescents aged 15–19 with the APC of − 4.9% yearly (95%CI: − 8.9 to – 0.7) and in adults 25–29 years of age with the APC of − 7.3% yearly (95%CI: − 12.5 to − 1.8), (Fig. 1, Table 3).
Results of Joinpoint regression analysis of T1DM incidence rates are presented in Table 3.
Anzeige
The significant higher incidence rate of T1DM was determined in the age group 5–9 years of age compared to the age groups 0–4, 15–19, 20–24 and 25–29 (Table 4).
There was a significantly higher incidence rate of T1DM in the age group 10–14 compared with the age groups 0–4, 15–19, 20–24 and 25–29 (Table 4).
Incidence rate of T2DM in the age group 25–29 was higher than of T1DM incidence rate (11.75 vs 8.22, p = 0.054) but the difference was not significant (Table 5).
Discussion
The incidence of T1DM has increased worldwide over the past three decades. T1DM is predominantly a disease of children aged 0–14. Incidence of T1DM in European countries is between 5 and 10/100.000 per year and the countries of Eastern and Central Europe show lower incidence and an increasing trend in recent decades [1, 15, 19, 24].
We found that the incidence rates of T1DM were significantly higher in children from the age groups 5–9 and 10–14 in comparison to those aged 15–19 and young adults aged 20–29. The highest incidence rate of T1DM was recorded in the age group 10–14 and the lowest in adults aged 25–29.
According to the results obtained from the study on the prevalence of obesity in preschool children and primary school children in Serbia [25], the lowest obesity rates were reported in 7-year-old boys (6.2%), while the highest obesity prevalence rates were observed in 6-year-old boys (9.7%). The overall prevalence of overweight children (23.1%, including obesity) and obesity (6.9%) in Serbian primary school children points to the existence of obesity epidemic in Serbian children.
Literature data show similar results [14‐16]. The incidence of T1DM increases with age in most populations with the highest incidence recorded in children aged 10–14 [9]. In the period 1982–2005 in Belgrade, Serbia, children aged 10–14 had the highest incidence rate of T1DM [12]. Similar data were found in the United States of America (USA) where incidence rate was the highest in children aged 10–14 and the ASR was 45.5/100.000 [2] compared with ASR of 21.10/100.000 in Serbian children of the same age.
The significantly increased incidence was observed in children in the age groups 5–9 and 10–14 years of age compared to the other age groups. Contrary to that, the lowest increase of incidence in the Republic of Srpska and Slovenia was noticed in the age group 10–14 years of age [21]. The highest increase in incidence of 5.7% yearly was observed in children aged 5–9. The highest average percentage yearly was recorded in boys and girls aged 5–9 in Belgrade during the period 1982 to 2005 [12].
The highest increase in the incidence in T1DM in both the Republic of Srpska (7.7% yearly) and Slovenia (4.3%) was observed in the youngest age group (0–4) and according to our findings, the increase of incidence in the age group 0–4 was 3.1% yearly and it was not significant. In this age group the incidence was the lowest in Serbia according to our findings. The lowest incidence rate in children aged 0–4 for both sexes were found in the study of Belgrade children from 1982 to 2005 [12].
Increasing trends in T1DM have been observed in the countries in our neighborhood such as in former Yugoslavian Republics of Slovenia, Montenegro, and Croatia [21]. The former Yugoslav republic, North Macedonia, is known as the “cold spot” of T1DM because of the lowest incidence of this DM type in the whole Europe [26].
After the age of 15 the incidence rate of T1DM significantly decreased and in the adults aged 25–29 the incidence of T2DM was higher than T1DM in adults from the same age group but the difference was not significant. In countries of the European Region overweight (OW) prevalence varies from 32 to 79% among men, and from 28 to 78% among women. The prevalence of obesity ranges from 5 to 23% among men and from 7 to 36% among women.
Increased incidence of T2DM in young adults can be a consequence of increased prevalence of obesity in Serbia, which is the main risk factor for the development of T2DM.
We found a decrease of T1DM incidence in Serbia in adolescents aged 15–19 and youths aged 20–24 and 25–29 years of age. In the age group 15–19 in Serbia, the incidence was 10.4/100000, and that is about ten times higher compared to the lowest registered incidence in the world on Mauritius (1.1/100,000) and nearly four times lower than the highest incidence which is recorded in Estonia (39.9/100,000) [20].
The highest incidence in Serbia was in the age group 10–14 (21.10/100,000) and it was 2.6 times higher than in the lowest recorded incidence in adults aged 25–29 (8.22/100,00).
Increasing trends of T1DM incidence were similar in children and adults (3% per year) in Italy and incidence rates were stable in the group 15–29 years of age (in the period 1991–1999) in the United Kingdom (UK) and in the group 15–39 years of age (period 1992–1996) in Finland [1].
Our results showed that there is no sufficient data concerning the T1DM incidence in young adults compared to data concerning children in Serbia, which is similar to the results of other studies [16, 18, 19]. This might be a consequence of small detection rate of specific autoantibodies and dosage of C-peptide as diagnostic criteria of T1DM in adults in Serbia and higher prevalence of T2DM risk factors in young adults especially in those above 25 years of age.
We found that the incidence of T2DM in the age group 25–29 was 1.4 times higher than the one for T1DM. This finding is similar to the findings from other studies [16, 23, 25, 27].
The results of our study showed that in Serbia after the age of 15 the incidence rate of T1DM is significantly decreasing. The risk of T1DM declines steeply after the age of 15 in European countries with high incidence rates, such as Finland [27] as well as in countries with low incidence, such as Lithuania [28] and Italy [26]. According to the results of the SEARCH study from the USA incidence rates in adults 15–29 years of age was 13.4/100,000 in the period 2002–2009 which was twofold lower than in children aged 0–14 [4, 29]. The incidence of T1DM in adults from Sweden had a very low completeness of ascertainment and a recent study has shown that the real incidence in adults up to 34 years of age was two to three times higher than previously reported [18].
So far, only two studies described a different clinical presentation of T1DM in young adults in comparison to children [18, 26]. A better quality as well as the amount of information about T1DM in adulthood will contribute to a better understanding of epidemiological characteristics of this type of DM, but it will also contribute to a faster implementation of the optimal therapy, the insulin therapy introduction and the prevention of the early onset of cardiovascular complications and premature death of the affected individuals [30].
The recognized misclassification of T1DM as T2DM is the main problem affecting studies on the epidemiology of T1DM in young adults [25]. According to the data of World Health Organization (WHO) the cause of T1DM is not known and it is not a preventable disease with current medical knowledge [6, 30].
Conclusion
The increase of incidence in children aged 0–14 and the decrease after the 15 years of age showed that T1DM is predominantly a metabolic disease of children in Serbia. A significant increasing incidence trend was recorded in two age groups 5–9 and 10–14 years of age. The highest increase of incidence trend was in children aged 5–9 and the highest incidence rate was in children aged 10–14. A significant increase of T2DM incidence was observed in young adults aged 25–29. The increase in incidence rates in children, but not in young adults, suggests that the precipitating factors of children-onset disease may differ from those of adult-onset T1DM.
Acknowledgements
None.
Ethics approval and consent to participate
Data about incidence of Type 1 Diabetes Mellitus are published on the website of the Institute of Public Health of Serbia and they are available on the Internet to researches, medical doctors, students, journalist et cetera. The Ethical approval was not required. Used publications don’t include any personal data about patients. These publications consisted of aggregate data of incidence and mortality cases. The new setup of the Serbian Diabetes Registry implied its decentralization. The regional Registries are kept on the level of the administrative districts and are located at the Institutes of Public Health. All authors of the manuscript are involved in the continuous process of data collection.
Consent for publication
Consent to publish is not required.
Competing interests
The authors declare that they have no competing interests.
Open Access This article is 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, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
