Korean J Intern Med > Volume 36(5); 2021 > Article
Yang, Han, Sohn, and Kim: Young-onset type 2 diabetes in South Korea: a review of the current status and unmet need

Abstract

The prevalence of young-onset (diagnosis at age < 40 years) type 2 diabetes mellitus (T2DM) is increasing globally. Young-onset T2DM has a common pathophysiology of glucose dysregulation as in late-onset T2DM. However, it presents a greater association with obesity and a more rapid decline in β-cell function than late-onset T2DM. Accumulating evidence indicates that disease progression in young-onset T2DM is rapid, resulting in early and frequent development of microvascular and macrovascular complications, as well as premature death. Improper management and low adherence to medical therapy are important issues in young-onset T2DM. This review discusses the epidemiology, disease entity, and clinical issues associated with young-onset T2DM. We also present the prevalence and clinical characteristics of patients with young-onset T2DM in South Korea.

INTRODUCTION

Type 2 diabetes mellitus (T2DM) is commonly observed in middle-aged or elderly people but is increasingly being diagnosed in younger adults, accompanied by an increase in obesity. Accumulating evidence indicates that young-onset (diagnosis at age < 40 years) T2DM (YOD) presents aggressive phenotype associated with an increased risk of complications and death compared with late-onset T2DM [1]. Early-onset of diabetes leads to prolonged exposure to high blood glucose levels and, consequently, a greater risk of chronic vascular complications. In addition, it is difficult to maintain a healthy lifestyle and to adhere to pharmacological treatments over a longer period. The onset of T2DM at a young age may also have greater negative socioeconomic impacts in affected patients. Therefore, more attention should be paid to the increasing prevalence of YOD, and optimizing treatment strategies for YOD patients is required.
This review describes the epidemiology, clinical characteristics and issues associated with YOD. Since only a few epidemiologic data about YOD exist in South Korea, we evaluated the prevalence and characteristics of YOD using the Korean National Health Insurance Service (KNHIS) database.

EPIDEMIOLOGY

The prevalence of YOD is rapidly increasing worldwide. The International Diabetes Federation Diabetes Atlas reported that 63 million (16% of total adults with T2DM) young adults aged 20 to 39 years had T2DM worldwide in 2013 [2]. The overall prevalence of YOD rose in most countries in 2017 compared with that in 2013, although this varied by region [1]. The increase in YOD was the largest in the Western Pacific, Africa, and Southeast Asia [3]. In a population-based study comparing the incidence rates among South Asian, Chinese, and Western populations, the incidence of YOD was the highest in South Asia, which was 2.2 times that of Western countries and 3.1 times that of China [4]. However, as the estimation of the prevalence from the Diabetes Atlas is based on the individual regional studies involved in the analysis, the known prevalence of YOD in different regions was dependent on the quality of the studies included.
The overall prevalence of youth-onset (age 10 to 19 years) T2DM in the United States rose from 0.034% in 2001 to 0.046% in 2009 [5]. In Canada, the prevalence of youth-onset (age < 20 years) T2DM increased by 2.3-fold (from 0.009% to 0.021%) over a decade (from 2002–2003 to 2012–2013) [6]. In a study using the Korea National Health and Nutrition Examination Survey (KNHANES) data, the overall (2005 to 2014) prevalence of diabetes was 0.2% among individuals aged 10 to 19 years and 0.9% among those aged 20 to 29 years [7]. The estimated prevalence of adults aged 30 to 39 years was 3.1% in men and 2.1% in women in 2014 [8], and 3.7% in men and 2.7% in women in 2018 in South Korea [9]. According to a national survey, the increasing prevalence of diabetes in young adults aged 20 to 39 years was also apparent in China: 3.2% in 2008 and 5.9% in 2013 [10].

RISK FACTORS AND CLINICAL CHARACTERISTICS

YOD shares common risk factors for late-onset T2DM. In this respect, it is evident that the increasing prevalence of YOD is associated with an increase in people who are overweight or obese worldwide [11,12]. According to the KNHANES study of 2005 to 2014, obese individuals aged 10 to 29 years showed a seven-fold higher prevalence of diabetes than non-obese individuals at the same age [7]. The prevalence of diabetes was 0.19%, 0.34%, and 1.06% among normal-weight, overweight, and obese South Korean adolescents aged 10 to 18 years, respectively [12].
The risk of diabetes is associated with unhealthy metabolic phenotypes as well as obesity. In a recent study using KNHIS database, among subjects with metabolic syndrome, the increased risk of incident diabetes was most prominent for young adults than older adults; 2.55-, 3.89-, and 6.31-times higher for young adults aged 20 to 39 years and 2.57-, 3.45-, and 5.18-times higher for adults aged 40 to 64 years with three through five components of metabolic syndrome [13]. It means higher association between impaired metabolic health and incident diabetes in young adults. In addition, the burden of metabolic and cardiovascular risk factors, such as higher triglyceride levels, apolipoprotein B levels, or high blood pressure, is more prominent in patients with YOD than in those with late-onset T2DM [14].
Compared with late-onset T2DM, patients with YOD have a higher prevalence of a family history of diabetes; the age at diagnosis of diabetes decreased by 1.7 years for every 10% increase in the number of family members with diabetes [15]. Individuals with YOD tend to have worse glycemic control represented by higher glycated hemoglobin (HbA1c) levels [16], poor responsiveness to oral glucose-lowering therapies, and shorter time to initiation of insulin treatment [17] than individuals with late-onset T2DM. This means that YOD have a more aggressive course of the disease than late-onset T2DM [1,3,18]. Rapid decline in β-cell function in YOD partly explains the rapidly worsening progression of the disease. In a previous study, β-cell function assessed by oral glucose tolerance test decreased by 20% to 35% per year in adolescent with T2DM [19], while it was by 7% per year in older adults with T2DM [20].

BURDEN OF YOD: COMPLICATIONS AND HEALTH OUTCOMES

YOD is associated with a much more frequent occurrence of diabetic complications and a more rapid progression of those complications than is observed in type 1 diabetes mellitus (T1DM) [21] or late-onset T2DM [1].
The Treatment Options for Type 2 Diabetes Mellitus in Adolescents and Youth (TODAY) study, a clinical trial conducted in the United States to maintain glycemic control in patients with youth-onset T2DM, indicated progressive changes in subclinical cardiac function, especially diastolic function, over 5 years in those with early-onset T2DM [22]. The risk of myocardial infarction in YOD was 14-fold higher than that in age-matched controls; however, in patients with late-onset T2DM, it was four times higher than that in age-matched controls [23].
In a study using a computer model simulation of the life course of a hypothetical cohort of youths and young adults in the United States, patients with YOD had a reduced average life expectancy of approximately 15 years than people without diabetes [24]. In a population- and registry-based study in Hong Kong, patients with YOD had double the hospitalization rate by age 60 years for any cause, including cardiovascular events, renal complications, and infections, compared with patients with late-onset T2DM [25]. A longer duration of follow-up due to early onset of disease in YOD may affect the high prevalence of complications or hospitalization in those patients. However, a study indicated that the effects of diabetes duration on health outcomes were greater in younger patients than in older patients [26].
Regarding microvascular complications, the long-term follow-up of the TODAY study with a mean diabetes duration of 13.3 ± 1.8 years reported that the incidence of diabetic kidney disease, neuropathy, and retinopathy was 54.8%, 32.4%, and 13.7%, respectively, in patients with YOD [27]. The SEARCH for Diabetes in Youth (SEARCH) study, a multicenter study of youths aged < 20 years with diabetes, reported significantly higher rates of diabetic kidney disease (19.9% vs 5.8%), retinopathy (9.1% vs 5.6%), and peripheral neuropathy (17.7% vs 8.5%) in patients with YOD than in those with T1DM [21].
While studies generally showing a higher incidence of microvascular complications in YOD than in T1DM [21,28-31], whether the risk of microvascular complications in YOD is higher than in late-onset T2DM is not conclusive. The incidence of nephropathy was comparable (the hazard rate ratio [HRR], 1.2; 95% confidence interval [CI], 0.77 to 1.30), and the risk of retinopathy was lower (HRR, 0.42; 95% CI, 0.24 to 0.74) in patients with youth-onset T2DM (age < 20 years) compared with older-onset group in Pima Indians [32]. In other studies, the overall prevalence of retinopathy was higher (84.3% vs 72.8%) in individuals with YOD than in those with late-onset T2DM for diabetes duration > 20 years, even though a lower age at diagnosis was not a significant predictor of diabetic complications [14,33]. A recent study showed that YOD is an independent risk factor for the development of proliferative diabetic retinopathy in T2DM patients with microalbuminuria [34].

ISSUES OF YOD: ADHERENCE AND SOCIOECONOMIC FACTORS

Suboptimal adherence to drugs or medical therapy in T2DM [35,36] increases the risk of diabetes complications, hospitalization, morbidity, and even mortality [37]. There is a substantial gap in the perception of disease entity and severity according to comorbidities in affected patients. Those recently diagnosed with T2DM often perceived the disease as a self-controllable condition. In contrast, patients with complications perceived it as more serious [38]. In this respect, younger T2DM patients without complications are more likely to perceive their medical condition lightly. Therefore, they are more likely to have poor health behaviors. The Australian National Diabetes Audit, a large national cross-sectional study for self-care practices among people with T2DM, indicated that younger people are twice as likely than older patients not to follow the self-care practice recommendations, including dietary advice, taking regular medications, and self-monitoring of blood glucose levels [39]. Moreover, according to the TODAY study, the effect of high-quality lifestyle modifications did not persist for a long time in YOD patients [40]. A systematic review also indicated that adolescents (aged 10 to 20 years) were more likely to present poor compliance to medical treatment, as a result, had higher HbA1c levels than older individuals [41]. According to the 2013 to 2014 National Health and Nutrition Examination Survey (NHANES) data, the younger the individual, the lower the rate of achievement of glycemic control (HbA1c ≤ 7%) [42].
Higher continuity of care for T2DM significantly reduces microvascular and macrovascular complications and the cost of diabetes treatment in patients with T2DM [43]. Non-attendance at diabetes outpatient appointments is related to suboptimal outcomes, and young adults, smokers, and cost problems were indicated as reasons for non-attendance [44]. In a South Korean study, the proportion of patients who visited the clinic regularly was lower in people with YOD than in those aged 40 to 80 years [45].

YOD AMONG PEOPLE WITH NEW-ONSET T2DM IN SOUTH KOREA

While the prevalence of YOD is reported to be increasing worldwide, there is little accurate epidemiologic information on YOD in South Korea. We evaluated the epidemiology and characteristics of new-onset T2DM according to age using the KNHIS database (Approval No. of Institutional Review Board: VC18ZNSI0243). This investigation included only patients with new-onset T2DM from 2009 to 2017. The included subjects were those who (1) were aged ≥ 20 years; (2) received health checkups between January 1, 2009 and December 31, 2017; and (3) were not diagnosed with diabetes or treated with antidiabetic drugs before the checkups. Among them, those with a fasting plasma glucose (FPG) level of ≥ 126 mg/dL were defined as patients with new-onset T2DM. To define diabetic patients by FPG alone may be inaccurate, which may serve as a limitation of this study. However, in the absence of information about other additional tests, this definition was adopted because it is the only way to identify even undiagnosed patients. It is another limitation that the distinction between T1DM and T2DM might not be clear even though we used International Classification of Diseases-10 codes E11–14 when assessing the adherence to treatment of YOD. However, the incidence of T1DM in adults aged ≥ 20 years was 2.99 to 5.12 per 100,000 people between 2009 and 2013 [46], so little case of T1DM would be involved.

Proportion of patients with YOD among those with new-onset T2DM

Tables 1 and 2 show the number and proportion of patients with new-onset T2DM according to age from 2009 to 2017, respectively. In 2009, 297,555 (3.2%) subjects were identified as having new-onset T2DM among 9,357,825 subjects who had received a national health checkup. Among them, 16.2% (48,189/297,555) were young adults aged 20 to 39 years. The number and proportion of those with new-onset YOD remained steady for approximately 10 years. In 2017, 417,182 subjects had new-onset T2DM and 48,074 (11.6% of new-onset T2DM) had new-onset YOD. The results did not provide convincing evidence about the increasing trends of YOD in the South Korean population. However, when only patients aged 20 to 29 years with YOD are considered, the proportion of those with new-onset T2DM is 1.9% to 3.2%, which is higher than that reported in European studies and similar to that in South East Asian countries [1].

Clinical characteristics of patients with new-onset T2DM and YOD

The mean age of patients with new-onset T2DM was 52.0 ± 12.7 and 53.7 ± 12.2 years in 2009 and 2017, respectively (Table 3). The mean FPG level was 155.0 ± 42.6 in 2009 and 153.0 ± 41.0 mg/dL in 2017. The other demographic characteristics were also generally similar over time. On the other hand, the obesity status of those with new-onset T2DM changed substantially. The mean BMI was 25.1 ± 3.4 kg/m2 in 2009 and 26.0 ± 3.8 kg/m2 in 2017. The mean waist circumference changed from 85.1 ± 9.2 to 87.0 ± 10.3 cm between 2009 and 2017.
We observed that the mean FPG level and BMI were significantly higher in the YOD group than in the late-onset (≥ 40 years old) T2DM group both in 2009 and 2017 (Table 3). The gaps in the mean FPG level and BMI between age groups were more profound in 2017 (Table 3), which indicates that patients with YOD had been getting more obese with poorer glycemic profile at the time of diagnosis over time. The mean FPG level increased from 157.6 ± 47.7 to 163.6 ± 53.3 mg/dL and the mean BMI changed from 25.6 ± 4.2 to 28.1 ± 5.2 kg/m2 in people with YOD from 2009 to 2017. Fig. 1 shows the distribution of FPG levels at the time of T2DM diagnosis according to age groups in 2009 (Fig. 1A) and 2017 (Fig. 1B). Notably, patients with YOD presented a higher proportion of high FPG levels at diagnosis than those with late-onset T2DM in 2017. For example, 22.0% of patients with YOD had an FPG level of ≥ 180 mg/dL, while 9.1% of patients aged ≥ 60 years had an FPG level of ≥ 180 mg/dL. In summary, we found that patients with YOD presented different phenotypes at diagnosis compared with those with late-onset T2DM. In particular, they tend to be more obese and have worse glycemic profiles, which is predicted to make the disease worse in the future, considering that the FPG level and BMI are important predictors of morbidity and mortality [47].

Adherence to treatment of YOD

We evaluated the clinic attendance rate which was defined as the proportion of people who visited clinics for diabetes management within 1 year after recognition of new-onset T2DM. Although the overall clinic attendance rate continued to increase from 2009 to 2017 in all age groups (Fig. 2), the clinic attendance rate of patient with YOD was only approximately half of that of late-onset T2DM. In 2017, it was the lowest in patients in their 20s (18.6%) and the highest in patients in their 60s (52.4%). The prescription rate of antidiabetic agents within a year after recognition of new-onset T2DM also continuously increased from 2009 to 2017 in all age groups (Fig. 3). However, the prescription rate for YOD was approximately one-third in 2009, and it was only about half of that of late-onset T2DM in 2017. The prescription rate was the lowest in patients in their 20s (11.8%) and the highest in patients in their 60s (25.8%) in 2017. Given that the FPG levels at diagnosis were significantly higher in patients with YOD than in those with late-onset T2DM, this poor adherence to clinical attendance and medical therapy of YOD is an alarming feature that needs urgent attention.

CONCLUSIONS

We summarized the epidemiologic, clinical characteristics and health outcomes of YOD in this review. Evidence indicates that YOD has a different nature from the late-onset T2DM. A close association with severe obesity and impaired metabolic health as well as a rapid β-cell function decline of YOD defines it as a severe form of T2DM. As expected, early development of vascular complications is a characteristic of YOD, ultimately resulting in premature death. We also found that YOD patients are being more obese and presenting worse glycemia at their first presentation over time. Nonadherence to treatments and low compliance appear to be major obstacles to the proper management of YOD patients. Early detection and intensive management of YOD would be of paramount importance.

Conflict of Interest

No potential conflict of interest relevant to this article was reported.

Acknowledgements

This research was supported by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health and Welfare, Republic of Korea (Grant Number: HI18C0275).

Figure 1.
Distribution of blood glucose level in new-onset type 2 diabetes mellitus of those who underwent health checkups according to age group (A) in 2009 and (B) in 2017.
kjim-2021-379f1.jpg
Figure 2.
Clinic attendance rate within 1 year after recognition of new-onset type 2 diabetes mellitus from 2009 to 2017 according to different age groups.
kjim-2021-379f2.jpg
Figure 3.
Prescription rate of antidiabetic agents within 1 year after recognition of new-onset type 2 diabetes mellitus from 2009 to 2017 according to different age groups.
kjim-2021-379f3.jpg
Table 1.
New-onset type 2 diabetes mellitus of those who underwent health checkups according to different age groups (in years)
2009 2010 2011 2012 2013 2014 2015 2016 2017
20–29 9,512 8,003 7,996 6,961 7,486 7,441 7,358 7,815 7,924
30–39 38,677 36,598 37,718 35,796 37,139 38,558 38,555 38,903 40,150
40-49 81,208 81,139 83,375 83,857 86,528 95,429 99,429 101,837 104,934
50–59 84,903 91,784 94,676 100,346 103,092 117,337 124,598 131,047 136,539
60–69 53,396 54,797 52,112 54,108 56,330 65,077 70,052 78,780 82,508
≥ 70 29,859 30,795 32,008 32,740 34,773 38,828 38,602 43,437 45,127
Total 297,555 303,116 307,885 313,808 325,348 362,670 378,594 401,819 417,182
Total population 9,357,825 10,096,178 10,432,011 10,692,494 10,830,785 11,725,271 11,910,666 12,348,395 12,535,317
Table 2.
Proportion of new-onset type 2 diabetes mellitus of those who underwent health checkups according to different age groups (in years)
2009 2010 2011 2012 2013 2014 2015 2016 2017
20–29 0.80 0.71 0.70 0.66 0.69 0.67 0.68 0.67 0.68
30–39 2.06 1.76 1.80 1.71 1.77 1.73 1.74 1.78 1.84
40–49 3.18 2.92 2.90 2.88 2.89 3.00 3.07 3.08 3.17
50–59 4.35 4.11 3.99 3.94 4.06 4.16 4.31 4.39 4.49
60–69 4.60 4.49 4.25 4.12 4.26 4.34 4.39 4.52 4.52
≥ 70 4.79 4.66 4.44 4.21 4.37 4.40 4.32 4.50 4.44
Total 3.18 3.00 2.95 2.93 3.00 3.09 3.18 3.25 3.33
Table 3.
Baseline characteristics in subjects stratified by age in 2009 and 2017
Characteristic 2009
2017
Total 20–39 years 40–64 years ≥ 65 years Total 20–39 years 40–64 years ≥ 65 years
Number 297,555 48,189 (16.2) 197,820 (66.5) 51,546 (17.3) 417,182 48,074 (11.5) 297,086 (71.2) 72,022 (17.3)
Age, yr 52.0 ± 12.7 33.5 ± 4.3 51.4 ± 6.8 71.6 ± 5.4 53.7 ± 12.2 33.9 ± 4.2 52.3 ± 6.8 72.5 ± 6.1
Male sex 208,419 (70.0) 40,744 (84.6) 139,681 (70.6) 27,994 (54.3) 288,991 (69.3) 38,812 (80.7) 209,912 (70.7) 40,267 (55.9)
Hypertension 138,075 (46.4) 11,214 (23.3) 90,555 (45.8) 36,306 (70.4) 198,374 (47.6) 12,620 (26.3) 135,006 (45.4) 50,748 (70.5)
Dyslipidemia 91,080 (30.6) 10,145 (21.1) 63,177 (31.9) 17,758 (34.5) 176,436 (42.3) 14,056 (29.2) 126,565 (42.6) 35,815 (49.7)
Smoking
Non 140,732 (47.3) 15,332 (31.2) 90,802 (45.9) 34,598 (67.1) 192,121 (46.1) 17,948 (37.3) 126,696 (42.7) 47,477 (65.9)
Ex 54,376 (18.3) 6,234 (12.9) 39,653 (20.0) 8,489 (16.5) 96,113 (23.0) 6,894 (14.3) 72,685 (24.5) 16,534 (23.0)
Current 102,447 (34.4) 26,623 (55.3) 67,365 (34.1) 8,459 (16.4) 128,948 (30.9) 23,232 (48.3) 97,705 (32.9) 8,011 (11.1)
Drinking
Non 131,780 (44.3) 14,016 (29.1) 83,003 (42.0) 34,761 (67.4) 175,481 (42.1) 14,175 (29.5) 112,748 (38.0) 48,558 (67.4)
Moderate 124,280 (41.8) 26,336 (54.7) 85,175 (43.1) 12,769 (24.8) 185,723 (44.5) 25,891 (53.9) 140,619 (47.3) 19,213 (26.7)
Heavy 41,495 (14.0) 7,837 (16.3) 29,642 (15.0) 4,016 (7.8) 55,978 (13.4) 8,008 (16.7) 43,719 (14.7) 4,251 (5.9)
Regular exercise 55,056 (18.5) 6,385 (13.3) 38,788 (19.6) 9,883 (19.2) 86,288 (20.7) 7,929 (16.5) 62,243 (21.0) 16,116 (22.4)
BMI, kg/m2 25.1 ± 3.4 25.6 ± 4.2 25.1 ± 3.2 24.3 ± 3.3 26.0 ± 3.8 28.1 ± 5.2 26.0 ± 3.6 24.9 ± 3.4
Waist circumference, cm 85.1 ± 9.2 85.0 ± 10.9 85.2 ± 8.8 85.2 ± 9.1 87.0 ± 10.3 91.0 ± 16.0 86.6 ± 9.2 86.1 ± 9.4
Systolic BP, mmHg 129.9 ± 16.1 127.1 ± 14.8 129.8 ± 16.1 133.0 ± 17.1 130.0 ± 15.3 129.0 ± 15.4 129.7 ± 15.1 132.2 ± 15.6
Diastolic BP, mmHg 80.7 ± 10.6 79.9 ± 10.5 81.2 ± 10.6 79.7 ± 10.5 80.8 ± 10.4 81.6 ± 11.4 81.3 ± 10.4 78.2 ± 9.7
Fasting plasma glucose, mg/dL 155.0 ± 42.6 157.6 ± 47.7 155.7 ± 42.7 150.1 ± 35.8 153.0 ± 41.0 163.6 ± 53.3 153.2 ± 40.5 145.3 ± 30.8
Total cholesterol, mg/dL 209.0 ± 49.5 205.6 ± 50.7 211.0 ± 49.9 204.6 ± 46.2 209.5 ± 45.3 214.1± 45.4 212.1 ± 45.2 195.8 ± 42.8

Values are presented as number (%) or mean ± standard deviation.

BMI, body mass index; BP, blood pressure.

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