Changes in the incidence and prevalence of type 1 and type 2 diabetes among 2 million children and adolescents in Hungary between 2001 and 2016 - a nationwide population-based study

The increase in diabetes in children from underdeveloped countries

PURPOSE OF REVIEW

The incidence of type 1 diabetes (T1D) in children and adolescents has been increased over decades worldwide. Recent studies showed that the trend of T1D incidences were different between developed and underdeveloped countries. This review aimed to summarize the changes of childhood T1D incidences in underdeveloped countries over the past decade.

RECENT FINDINGS

Majority of the underdeveloped countries lacked of nationwide population-based studies on childhood T1D. We reviewed the trend of childhood T1D in important underdeveloped countries with available data in recent years. The incidences of childhood T1D in underdeveloped countries were low decades ago, but it increased significantly recently, particularly in the sub-Saharan African, Middle East and North African regions.

SUMMARY

The incidences of childhood T1D increased significantly in underdeveloped countries, especially in the sub-Saharan African, Middle East and North African regions. T1D registry and population-based studies are helpful to understand the situation and characteristic of childhood T1D in underdeveloped countries.

Trends in the incidence of type 1 diabetes and type 2 diabetes in children and adolescents in North Rhine-Westphalia, Germany, from 2002 to 2022

AIMS

The objective of this study was to assess overall and segmented trends in the incidence of type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM) in children and adolescents younger than 20 years, from 2002 to 2022.

METHODS

This study used registry data on physician-diagnosed T1DM or T2DM from primary and secondary sources, covering the German federal state of North Rhine-Westphalia with 18 million inhabitants. The ages at T1DM and T2DM onset ranged from 0 to 19 and 10-19 years, respectively. The main outcomes were direct age- and/or sex-standardized incidence rates per 100,000 person-years (PYs) and trends estimated as annual percentage changes (APCs), both with 95 % confidence intervals. The segmented trends for subperiods were based on joinpoint regression models.

RESULTS

From 2002-2022, 17,470 and 819 persons had incident T1DM and T2DM, respectively. The total number of PYs was 73,743,982 for T1DM and 39,210,453 for T2DM, with a mean coverage rate of 98 % for T1DM and 90 % for T2DM. The standardized T1DM incidence increased from 17.6 [16.3;18.9} in 2002 to 33.2 [31.3;35.1] in 2022, with an APC of 2.7 % [2.3 %;3.1 %]. The standardized T2DM incidence increased from 1.3 [0.8;1.7] in 2002 to 2.8 [2.0;3.6] in 2022, with an APC of 6.4 % [4.9 %;8.0 %]. There were four different segmented trends for T1DM and T2DM, with the incidence peaking in 2021 and subsequently declining.

CONCLUSIONS

The incidence rates of T1DM and T2DM have increased over the past 20 years, with a wave-like pattern during the Covid-19 pandemic.

New advances in type 1 diabetes

Type 1 diabetes is an autoimmune condition resulting in insulin deficiency and eventual loss of pancreatic β cell function requiring lifelong insulin therapy. Since the discovery of insulin more than 100 years ago, vast advances in treatments have improved care for many people with type 1 diabetes. Ongoing research on the genetics and immunology of type 1 diabetes and on interventions to modify disease course and preserve β cell function have expanded our broad understanding of this condition. Biomarkers of type 1 diabetes are detectable months to years before development of overt disease, and three stages of diabetes are now recognized. The advent of continuous glucose monitoring and the newer automated insulin delivery systems have changed the landscape of type 1 diabetes management and are associated with improved glycated hemoglobin and decreased hypoglycemia. Adjunctive therapies such as sodium glucose cotransporter-1 inhibitors and glucagon-like peptide 1 receptor agonists may find use in management in the future. Despite these rapid advances in the field, people living in under-resourced parts of the world struggle to obtain necessities such as insulin, syringes, and blood glucose monitoring essential for managing this condition. This review covers recent developments in diagnosis and treatment and future directions in the broad field of type 1 diabetes.

The burden of type 2 diabetes mellitus in states of the European Union and United Kingdom at the national and subnational levels: A systematic review

Type 2 diabetes mellitus (T2D) is a highly prevalent disease worldwide, with an equally increased expenditure associated with it. We aimed to longitudinally evaluate the epidemiologic and economic burden of T2D in the current member states of the European Union and the United Kingdom (EU-28). The present systematic review is registered on PROSPERO (CRD42020219894), and it followed the PRISMA guidelines. Eligibility criteria comprised original observational studies in English reporting economic and epidemiological data for T2D in member states of the EU-28. Methodological assessment was performed with the Joanna Briggs Institute (JBI) Critical Appraisal Tools. The search retrieved 2253 titles and abstracts. After study selection, 41 studies were included in the epidemiologic analysis and 25 in the economic analysis. Economic and epidemiologic studies covered only 15 member states with reported data between 1970 and 2017, resulting in an incomplete picture. For children in particular, limited information is available. The prevalence, incidence, mortality, and expenditure of the T2D population have increased across the decades in member states. Therefore, policies should aim to prevent or reduce the burden of T2D in the EU and consequently mitigate the expenditure on T2D.

Developing a risk assessment tool for insulin resistance in European adolescents: the HELENA-IR score

OBJECTIVES

To develop and validate an easy-to-use screening tool for identifying adolescents at high-risk for insulin resistance (IR).

METHODS

Α total of 1,053 adolescents (554 females), aged 12.5 to 17.5 years with complete data on glucose and insulin levels were included. Body mass index (BMI), fat mass index (FMI) and the homeostasis model assessment for insulin resistance (HOMA-IR) were calculated. VO₂max was predicted using 20 m multi-stage fitness test. The population was randomly separated into two cohorts for the development (n=702) and validation (n=351) of the index, respectively. Factors associated with high HOMA-IR were identified by Spearman correlation in the development cohort; multiple logistic regression was performed for all identified independent factors to develop a score index. Finally, receiver operating characteristic (ROC) analysis was performed in the validation cohort and was used to define the cut-off values that could identify adolescents above the 75th and the 95th percentile for HOMA-IR.

RESULTS

BMI and VO₂max significantly identified high HOMA-IR in males; and FMI, TV watching and VO₂max in females. The HELENA-IR index scores range from 0 to 29 for males and 0 to 43 for females. The Area Under the Curve, sensitivity and specificity for identifying males above the 75th and 95th of HOMA-IR percentiles were 0.635 (95%CI: 0.542-0.725), 0.513 and 0.735, and 0.714 (95%CI: 0.499-0.728), 0.625 and 0.905, respectively. For females, the corresponding values were 0.632 (95%CI: 0.538-0.725), 0.568 and 0.652, and 0.708 (95%CI: 0.559-0.725), 0.667 and 0.617, respectively. Simple algorithms were created using the index cut-off scores.

CONCLUSIONS

Paediatricians or physical education teachers can use easy-to-obtain and non-invasive measures to apply the HELENA-IR score and identify adolescents at high risk for IR, who should be referred for further tests.

Prevalence of type 1 and type 2 diabetes in children and adolescents in Germany from 2002 to 2020: A study based on electronic health record data from the DPV registry

BACKGROUND

To provide estimates of the nationwide prevalence of type 1 diabetes (T1D) and type 2 diabetes (T2D) in individuals younger than 20 years of age in Germany from 2002 to 2020 and to identify trends.

METHODS

Data were obtained from the electronic health record "Diabetes Prospective Follow-up Registry (DPV)" specific to diabetes care. Prevalence was estimated based on prevalent cases at the end of each year for the years 2002, 2008, 2014, and 2020 per 100 000 persons assuming a Poisson distribution and directly age- and/or sex-standardized to the population in 2020. Individuals younger than 20 years of age with a clinical diagnosis of T1D or 10-19-year-olds with T2D were eligible for inclusion in the study.

RESULTS

The standardized T1D prevalence per 100 000 persons was 138.9 (95% CI: 137.1; 140.6) in 2002 and 245.6 (243.1; 248.0) in 2020. The standardized T2D prevalence per 100 000 persons was 3.4 (3.1; 3.8) in 2002 and 10.8 (10.1; 11.5) in 2020. The annual percent change (APC) in prevalence declined over the three periods 2002-2008/2008-2014/2014-2020 (T1D: 6.3% [3.6%; 9.0%]/3.1% [0.7%; 5.5%]/0.5% [-1.7%; 2.85], T2D: 12.3% [5.3%; 20.8%]/4.7% [-0.6%; 10.3%]/3.0% [-1.8%; 8.0%]). From 2014 to 2020, the highest APCs were observed among 15-19-year-olds (T1D: 2.5% [1.3%; 3.6%], T2D: 3.4% [-0.5%; 7.5%]).

CONCLUSIONS

The increase in diabetes prevalence has slowed, but medical care should be prepared for an increase in adolescents with diabetes.

The Feel4Diabetes intervention: effectiveness on 24-hour physical behaviour composition in families at risk for diabetes development

The Feel4Diabetes project conducted a 2-year intervention aiming to encourage healthy behaviours in families in six European countries. Within this paper, the intervention effect was evaluated after the first intervention year on 24-hour physical behaviour composition in Belgian families at risk for type 2 diabetes. Parents’ and children’s levels of physical activity (PA) and sedentary behaviour (SB) were objectively measured and sleep duration was self-reported. Valid data were obtained in 82 children (mean age: 8.2 ± 0.84; 50.0% boys) and 72 parents (mean age: 40.1 ± 5.5; 27.8% fathers). Data were analysed using a compositional data approach, and mixed models were used to take clustering into account. Results showed that for children, the mean baseline composition of the 24-hour day in sleep, SB, light and moderate-to-vigorous PA for the intervention group was (11 hours 18 minutes; 6 hours 33 minutes; 5 hours 02 minutes, 1 hour 08 minutes) and for the control group (11 hours 18 minutes; 6 hours 35 minutes; 5 hours 04 minutes; 1 hour 06 minutes), respectively. For parents, the mean baseline composition was for the intervention group (8 hours 12 minutes; 9 hours 36 minutes; 5 hours 43 minutes; 27 minutes) and for the control group (8 hours 00 minute; 9 hours 00 minute; 6 hours 27 minutes; 33 minutes). No significant intervention effects were found on 24-hour physical behaviour composition of either parents or children (p = 0.19 and p = 0.21, respectively). A relatively small study population and a poor attendance rate among parents could maybe explain the lack of effectiveness. More effective strategies are needed to retain vulnerable families in interventions. Furthermore, future approaches to improve the 24-hour physical behaviour composition should maybe focus more specifically on PA, SB and sleep, and involve teachers, children and parents in the design of the intervention. Trial registration: NCT02393872 in ClinicalTrials.gov.

Self-reported lifestyle behaviours in families with an increased risk for type 2 diabetes across six European countries: a cross-sectional analysis from the Feel4Diabetes-study

BACKGROUND

A healthy lifestyle decreases the risk of developing type 2 diabetes mellitus. The current cross-sectional study aimed to describe self-reported lifestyle behaviours and compare them to current health guidelines in European Feel4Diabetes-families at risk for developing type 2 diabetes across six countries (Belgium, Finland, Spain, Greece, Hungary and Bulgaria).

METHODS

Parents and their children were recruited through primary schools located in low socio-economic status areas. Parents filled out the FINDRISC-questionnaire (eight items questioning age, Body Mass Index, waist circumference, PA, daily consumption of fruit, berries or vegetables, history of antihypertensive drug treatment, history of high blood glucose and family history of diabetes), which was used for the risk assessment of the family. Sociodemographic factors and several lifestyle behaviours (physical activity, sedentary behaviour, water consumption, fruit and vegetable consumption, soft drink consumption, sweets consumption, snack consumption, breakfast consumption) of both adults and children were assessed by parental questionnaires. Multilevel regression analyses were conducted to investigate families' lifestyle behaviours, to compare these levels to health guidelines and to assess potential differences between the countries. Analyses were controlled for age, sex and socio-economic status.

RESULTS

Most Feel4Diabetes-families at risk (parents and their children) did not comply with the guidelines regarding healthy behaviours, set by the WHO, European or national authorities. Less than half of parents and children complied with the physical activity guidelines, less than 15% of them complied with the fruit and vegetable guideline, and only 40% of the children met the recommendations of five glasses of water per day. Clear differences in lifestyle behaviours in Feel4Diabetes-families at risk exist between the countries.

CONCLUSIONS

Countries are highly recommended to invest in policy initiatives to counter unhealthy lifestyle behaviours in families at risk for type 2 diabetes development, taking into account country-specific needs. For future research it is of great importance to focus on families at risk in order to counter the development of type 2 diabetes and reduce health inequity.

Diabetic kidney disease in pediatric patients: A current review

In the last decades, a significant increase in the incidence of diabetic kidney disease (DKD) was observed concomitant with rising diabetes mellitus (DM) incidence. Kidney disease associated with DM in children and adolescents is represented by persistent albuminuria, arterial hypertension, progressive decline in estimated glomerular filtration rate to end-stage renal disease and increased cardiovascular and all-cause morbidity and mortality of these conditions. In medical practice, the common and still the “gold standard” marker for prediction and detection of diabetic kidney involvement in pediatric diabetes is represented by microalbuminuria screening even if it has low specificity to detect early stages of DKD. There are some known limitations in albuminuria value as a predictor biomarker for DKD, as not all diabetic children with microalbuminuria or macroalbuminuria will develop end-stage renal disease. As tubular damage occurs before the glomerular injury, tubular biomarkers are superior to the glomerular ones. Therefore, they may serve for early detection of DKD in both type 1 DM and type 2 DM. Conventional and new biomarkers to identify diabetic children and adolescents at risk of renal complications at an early stage as well as renoprotective strategies are necessary to delay the progression of kidney disease to end-stage kidney disease. New biomarkers and therapeutic strategies are discussed as timely diagnosis and therapy are critical in the pediatric diabetic population.

Prevalence trends of type 1 and type 2 diabetes in children and adolescents in North Rhine-Westphalia, the most populous federal state in Germany, 2002-2020

AIMS

To estimate the prevalence and temporal trends of type 1 and type 2 diabetes mellitus in children and adolescents (type 1 diabetes: 0-19 years, type 2 diabetes: 10-19 years) in North Rhine-Westphalia (NRW), Germany, from 2002 to 2020.

METHODS

The NRW Diabetes Registry records new cases based on three data sources (median completeness of ascertainment 99% for type 1 diabetes, 94% for type 2 diabetes). We determined age- and/or sex-standardized prevalence estimates (95% confidence intervals) per 100,000 individuals. Differences in age and sex, as well as time trends, were examined by Poisson regression. Furthermore, joinpoint regression was used to evaluate changes in prevalence trends over time.

RESULTS

At the end of 2020, the estimated type 1 diabetes prevalence was 247.1 (240.3; 253.9) with an annual increase of 2.9% (2.7%; 3.1%). The type 2 diabetes prevalence was 12.7 (10.6; 14.9) and increased by 6.4% (5.6%; 7.3%) per year. The prevalence trends were not uniform over the total period and flattened considerably in recent years.

CONCLUSIONS

The prevalence of type 1 and type 2 diabetes has increased significantly but at a lower rate in recent years. Continued surveillance of the prevalence is essential for the planning of health care resources and prevention measures.

Leveraging Real-World Data for EMA Qualification of a Model-Based Biomarker Tool to Optimize Type-1 Diabetes Prevention Studies

The development of therapies to prevent or delay the onset of type 1 diabetes (T1D) remains challenging, and there is a lack of qualified biomarkers to identify individuals at risk of developing T1D or to quantify the time‐varying risk of conversion to a diagnosis of T1D. To address this drug development need, the T1D Consortium (i) acquired, remapped, integrated, and curated existing patient‐level data from relevant observational studies, and (ii) used a model‐based approach to evaluate the utility of islet autoantibodies (AAs) against insulin/proinsulin autoantibody, GAD65, IA‐2, and ZnT8 as biomarkers to enrich subjects for T1D prevention. The aggregated dataset was used to construct an accelerated failure time model for predicting T1D diagnosis. The model quantifies presence of islet AA permutations as statistically significant predictors of the time‐varying probability of conversion to a diagnosis of T1D. Additional sources of variability that greatly improved the accuracy of quantifying the time‐varying probability of conversion to a T1D diagnosis included baseline age, sex, blood glucose measurements from the 120‐minute timepoints of oral glucose tolerance tests, and hemoglobin A1c. The developed models represented the underlying evidence to qualify islet AAs as enrichment biomarkers through the qualification of novel methodologies for drug development pathway at the European Medicines Agency (EMA). Additionally, the models are intended as the foundation of a fully functioning end‐user tool that will allow sponsors to optimize enrichment criteria for clinical trials in T1D prevention studies.

Worldwide estimates of incidence of type 2 diabetes in children and adolescents in 2021

AIMS

We aimed to conduct a systematic review of published studies on the incidence of type 2 diabetes in children and adolescents aged under 20 years and provide worldwide incidence estimates for 2021.

METHODS

We used MEDLINE and EMBASE to identify studies reporting type 2 diabetes incidence in children and adolescents published between Jan 2000 and April 2021. We used a negative binomial regression model to develop a prediction equation to estimate incidence rates from country characteristics. We applied the resulting incidence predictions to country population data to estimate numbers of incident cases in children and adolescents by International Diabetes Federation (IDF) region and World Bank income classification group.

RESULTS

We estimate that there are approximately 41,600 new cases of diagnosed type 2 diabetes among children and adolescents in 2021 worldwide. Around 30% and 40% of the worldwide total incident cases are in IDF Western Pacific region and in World Bank upper-middle-income countries, respectively. The three countries with the highest estimated number of incident cases are China, India, and United States of America.

CONCLUSIONS

The number of newly diagnosed type 2 diabetes in children and adolescents is substantial. More reliable data are needed to track the incidence of type 2 diabetes in children and adolescents.

Homocysteine levels and cardiovascular risk factors in children and adolescents: systematic review and meta-analysis

CONTEXT

Studies have indicated that homocysteine levels are nontraditional markers for cardiovascular disease. The onset of atherosclerotic disease begins in childhood and adolescence; thus, prevention of its risk factors should occur early.

OBJECTIVE

This systematic review and meta-analysis was conducted to summarize the association between high homocysteine levels and traditional cardiovascular risk factors in children and adolescents.

DATA SOURCES

This systematic review and meta-analysis were developed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses and the protocol was submitted to PROSPERO. Only observational studies in children and adolescents with homocysteine levels as an exposure variable and cardiovascular risk factors as outcome variables were included and searched in the following electronic bibliographic databases: PubMed/MEDLINE, Web of Science, Embase, Latin American and Caribbean Literature in Health Sciences, Ovid and Scopus.

DATA EXTRACTION

Two authors independently extracted data from eligible studies. The methodological quality of the studies was assessed using the Newcastle-Ottawa scale.

DATA ANALYSIS

Seven studies were included in the systematic review; they were published from 1999 to 2017, predominantly were of a cross-sectional design, and mainly evaluated adolescents. In the meta-analysis (n = 6), cross-sectional studies (n = 3) identified that high homocysteine levels were positive and weakly correlated with overweight in children and adolescents (odds ratio, 1.08; 95%CI, 1.04-1.11).

CONCLUSION

High homocysteine levels were weakly associated with overweight in children and adolescents in the reviewed cross-sectional studies. However, for the other traditional cardiovascular risk factors, the findings, although important, were inconclusive. Additional robust longitudinal studies are recommended to be conducted to better identify these associations.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO registration no. CRD42018086252.

Peripheral and Autonomic Neuropathy Status of Young Patients With Type 1 Diabetes Mellitus at the Time of Transition From Pediatric Care to Adult-Oriented Diabetes Care

INTRODUCTION

The prevalence of neuropathic lesions in young patients with type 1 diabetes mellitus (T1DM) at the time of transition from pediatric care to adult-oriented diabetes care is poorly studied. A comparative study with healthy volunteers to assess the possible neuropathic condition of this special population and to identify the potential early screening needs has not been performed yet. The results may provide important feedback to pediatric diabetes care and a remarkable baseline reference point for further follow up in adult diabetes care.

PATIENTS AND METHODS

Twenty-nine young patients with T1DM [age: 22.4 ± 2.9 years; HbA1c: 8.5 ± 2.1%, diabetes duration: 12.2 ± 5.8 years; (mean ± SD)] and 30 healthy volunteers (age: 21.5 ± 1.6 years; HbA1c: 5.3 ± 0.3%) were involved in the study. Autonomic function was assessed by standard cardiovascular reflex tests. Complex peripheral neuropathic testing was performed by Neurometer^®, Neuropad^®-test, Tiptherm^®, Monofilament^®, and Rydel-Seiffer tuning fork tests.

RESULTS

T1DM patients had significantly higher diastolic blood pressure than controls (80 ± 9 vs. 74 ± 8 mmHg, p < 0.01), but there was no significant difference in systolic blood pressure (127 ± 26 vs. 121 ± 13 mmHg). Cardiovascular reflex tests had not revealed any significant differences between the T1DM patients and controls. No significant differences with Neurometer^®, Neuropad^®-test, and Monofilament^® were detected between the two groups. The vibrational sensing on the radius on both sides was significantly impaired in the T1DM group compared to the controls with Rydel-Seiffer tuning fork test (right: 7.5 ± 1.0 vs. 7.9 ± 0.3; left: 7.5 ± 0.9 vs. 7.9 ± 0.3, p < 0.05). The Tiptherm^®-test also identified a significant impairment in T1DM patients (11 sensing failures vs. 1, p < 0.001). In addition, the neuropathic complaints were significantly more frequently present in the T1DM patient group than in the controls (9 vs. 0, p < 0.01).

CONCLUSION

In this young T1DM population, cardiovascular autonomic neuropathy and cardiac morphological alterations could not be found. However, Rydel-Seiffer tuning fork and Tiptherm^®-tests revealed peripheral sensory neurological impairments in young T1DM patients at the time of their transition to adult diabetes care.

Diabetic Retinopathy Screening in Patients with Diabetes Using a Handheld Fundus Camera: The Experience from the South-Eastern Region in Hungary

PURPOSE

Diabetic retinopathy (DR) is the leading cause of vision loss among active adults in industrialized countries. We aimed to investigate the prevalence of diabetes mellitus (DM), DR and its different grades, in patients with DM in the Csongrád County, South-Eastern region, Hungary. Furthermore, we aimed to detect the risk factors for developing DR and the diabetology/ophthalmology screening patterns and frequencies, as well as the effect of socioeconomic status- (SES-) related factors on the health and behavior of DM patients.

METHODS

A cross-sectional study was conducted on adults (>18 years) involving handheld fundus camera screening (Smartscope Pro Optomed, Finland) and image assessment using the Spectra DR software (Health Intelligence, England). Self-completed questionnaires on self-perceived health status (SPHS) and health behavior, as well as visual acuity, HbA1c level, type of DM, and attendance at healthcare services were also recorded.

RESULTS

787 participants with fundus camera images and full self-administered questionnaires were included in the study; 46.2% of the images were unassessable. T1D and T2D were present in 13.5% and 86.5% of the participants, respectively. Among the T1D and T2D patients, 25.0% and 33.5% had DR, respectively. The SES showed significant proportion differences in the T1D group. Lower education was associated with a lower DR rate compared to non-DR (7.7% vs. 40.5%), while bad/very bad perceived financial status was associated with significantly higher DR proportion compared to non-DR (63.6% vs. 22.2%). Neither the SPHS nor the health behavior showed a significant relationship with the disease for both DM groups. Mild nonproliferative retinopathy without maculopathy (R1M0) was detected in 6% and 23% of the T1D and T2D patients having DR, respectively; R1 with maculopathy (R1M1) was present in 82% and 66% of the T1D and T2D groups, respectively. Both moderate nonproliferative retinopathy with maculopathy (R2M1) and active proliferative retinopathy with maculopathy (R3M1) were detected in 6% and 7% of the T1D and T2D patients having DR, respectively. The level of HbA1c affected the attendance at the diabetology screening (HbA1c > 7% associated with >50% of all quarter-yearly attendance in DM patients, and with 10% of the diabetology screening nonattendance).

CONCLUSION

The prevalence of DM and DR in the studied population in Hungary followed the country trend, with a slightly higher sight-threatening DR than the previously reported national average. SES appears to affect the DR rate, in particular, for T1D. Although DR screening using handheld cameras seems to be simple and dynamic, much training and experience, as well as overcoming the issue of decreased optic clarity is needed to achieve a proper level of image assessability, and in particular, for use in future telemedicine or artificial intelligence screening programs.

Impact of Genetic Factors on the Age of Onset for Type 2 Diabetes Mellitus in Addition to the Conventional Risk Factors

It is generally accepted that the early detection of type 2 diabetes mellitus (T2DM) is important to prevent the development of complications and comorbidities, as well as premature death. The onset of type 2 diabetes mellitus results from a complex interplay between genetic, environmental, and lifestyle risk factors. Our study aims to evaluate the joint effect of T2DM associated single nucleotide polymorphisms (SNPs) on the age of onset for T2DM in combination with conventional risk factors (such as sex, body mass index (BMI), and TG/HDL-C ratio) in the Hungarian population. This study includes 881 T2DM patients (Case population) and 1415 samples from the Hungarian general population (HG). Twenty-three SNPs were tested on how they are associated with the age of onset for T2DM in the Case population and 12 of them with a certified effect on the age of T2DM onset were chosen for an optimized genetic risk score (GRS) analysis. Testing the validity of the GRS model developed was carried out on the HG population. The GRS showed a significant association with the age of onset for T2DM (β = -0.454, p = 0.001) in the Case population, as well as among T2DM patients in the HG one (β = -0.999, p = 0.003) in the replication study. The higher the GRS, the earlier was the T2DM onset. Individuals with more than eight risk alleles will presumably be diabetic six and a half years earlier than those with less than four risk alleles. Our results suggest that there is a considerable genetic predisposition for the early onset of T2DM; therefore, in addition to conventional risk factors, GRS can be used as a tool for estimating the risk of the earlier onset of T2DM and stratifying populations at risk in order to define preventive interventions.