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Ann Pediatr Endocrinol Metab > Volume 20(4); 2015 > Article
Lee, Kim, Kwak, Kim, Kim, Cheon, Chung, Choi, Hong, Chueh, and Yoo: Incidence trends and associated factors of diabetes mellitus in Korean children and adolescents: a retrospective cohort study in Busan and Gyeongnam

Abstract

Purpose

This study investigated the incidence trends and associated factors of type 1 (T1DM) and type 2 diabetes mellitus (T2DM) in children and adolescents under 15 years of age in Busan and Gyeongnam, Korea from 2001 to 2010.

Methods

Medical records of newly diagnosed diabetes patients (n=328; 160 males, 168 females) were collected in questionnaire form from 5 tertiary and 42 general hospitals in Busan and Gyeongnam.

Results

The average crude incidence rate of T1DM and T2DM was 2.01/100,000 (95% confidence interval [CI], 1.76-2.28) and 0.75/100,000 (95% CI, 0.60-0.92), respectively. The incidence rate ratio (IRR) of T1DM was 1.31 (95% CI, 1.01-1.69), and that of T2DM was 1.97 (95% CI, 1.25-3.11) in the latter half-decade (2006 to 2010) compared to the early half-decade (2001 to 2005). There were gradually increasing incidence trends in both T1DM and T2DM over the 10-year period (P for trend: T1DM, 0.0009; T2DM, <0.0001). Age-specific IRR was highest in the 10- to 14-year-old group, regardless of diabetes type. In particular, a rapid increase in incidence of T2DM occurred in the 10- to 14-year-old group. IRR for females was 1.07 (95% CI, 0.83-1.38) for T1DM and 1.56 (95% CI, 1.01-2.41) for T2DM. IRR for Busan (urban) was 1.41 (95% CI, 1.09-1.83) for T1DM and 1.49 (95% CI, 0.96-2.30) for T2DM.

Conclusion

T1DM and T2DM incidence both increased over time in youth under age 15 living in Busan and Gyeongnam; in particular, the incidence of T2DM in adolescents increased more rapidly.

Introduction

Diabetes mellitus (DM) is a chronic metabolic disease that occurs due to impaired insulin secretion or action, causing defects in carbohydrate, protein, and lipid metabolism1). There are two major types of DM: type 1 diabetes (T1DM) and type 2 (T2DM). T1DM comprises two-thirds of all DM occurring among children and adolescents2)3).
Recently, an overall change in incidence trends has occurred due to the global increase of T1DM and T2DM among children and adolescents4)5). Incidence differences are highly dependent on ethnic group, region, and environmental factors. For example, China's national incidence rate is 0.1/100,000 versus Finland's 40.9/100,000, which represents a difference of over 350 folds4). Korea and Japan have also demonstrated very low incidence rates6). In Korea, a number of nationwide studies into the incidence of T1DM among children and adolescents under the age of 15 years were conducted up until 2000. Korean T1DM incidence rates showed gradual increases from 1.06/100,000 to 1.36/100,000. A study in China covering similar time periods showed an increase in T1DM incidence6).
T2DM incidence has increased significantly in parallel with increased youth obesity7)8). T2DM among children and adolescents tends to occur more frequently in areas with a higher prevalence of diabetic adults8). According to the 2005 Korea National Health and Nutrition Examination Survey, T2DM prevalence in adults 20 years old or older increased approximately 5 folds compared to the previous 30 years 9). Therefore, T2DM incidence is expected to show an increase among Korean children and adolescents as well. However, there has yet been no population-based study of T2DM incidence, and there have been few epidemiological studies on DM among Korean children and adolescents. Therefore, the authors conducted this study to investigate the incidence and associated factors of T1DM and T2DM in children and adolescents younger than 15 years of age in Busan and Gyeongnam, Korea.

Materials and methods

1. Subjects

The study subjects were 328 patients (160 males and 168 females) living in Busan and Gyeongnam, aged 15 years of age or younger. All were newly diagnosed with T1DM or T2DM between January 1, 2001, and December 31, 2010.

2. Methods

One previous study on T1DM incidence in Korea was the precedent case by the Korean Diabetes Association10) and the Korean Pediatric Society11), which distributed questionnaires and analyzed the responses, as well as patient registration information. The present study used the same methodology. Questionnaires were sent to 5 tertiary and 42 general hospitals in Busan and Gyeongnam to request a retrospective survey of medical records (Fig. 1).
The questionnaire was composed of the following items; sex, date of birth, date at the time of diagnosis, address, symptoms and signs, and type of diabetes. Residency in Busan or Gyeongnam was determined by the address used at the time of diagnosis, which was then used to determine region-specific incidence. The diagnostic criteria for T1DM were the presence of ketoacidosis or fasting serum C-peptide level≤0.6 ng/mL; testing positive for anti-islet autoantibodies, even with a C-peptide level >0.6 ng/mL; and not being able to maintain a blood glucose level without insulin injections for 2 years following diagnosis11). The diagnostic criteria for T2DM were the absence of ketoacidosis, a fasting serum C-peptide level>0.6 ng/mL, testing negative for anti-islet autoantibodies, or maintaining a blood glucose level without insulin injection for over 2 years following diagnosis.
Positive test results for anti-islet autoantibodies were based on measurements from the insulin autoantibody, the antiglutamic acid decarboxylase antibody, or the islet cell antibody11)12). This study was approved by the Institutional Review Board of Dong-A University Hospital, Busan, Korea (13-107).

3. Statistical analysis

Incidence rates were calculated as the numbers of cases per 100,000 persons. The denominator for incidence was based on secondary data from the Korea National Statistical Office13). The 95% confidence interval (CI) for incidence rate was calculated using a Poisson distribution. The incidence rate was fitted, and a Poisson linear regression model was used to test for a linear trend. To analyze the known risk factors for T1DM development, such as time period, age, sex, region, and seasonality14), a Poisson regression model was applied to calculate the relative incidence rate ratio (IRR). A P-value of <0.05 was considered statistically significant. Data were analyzed using SAS 9.2 (SAS Inc., Cary, NC, USA).

Results

1. Annual and average crude DM incidence rates

The 10-year average crude T1DM incidence rate for children and adolescents younger than 15 years was 2.01/100,000 (95% CI, 1.76-2.28), which was 2.68 times greater than the rate of 0.75/100,000 for T2DM (95% CI, 0.60-0.92). Annual incidence rates for both T1DM and T2DM gradually increased over time (P for trend: T1DM, 0.0009; T2DM, <0.0001, respectively) (Fig. 2).
Comparisons between the earlier (2001-2005) and latter (2006-2010) half-decades showed that in the earlier half-decade, T1DM and T2DM incidence rates were 1.80 (95% CI, 1.48-2.16) and 0.45 (95% CI, 0.30-0.65), while those of the latter half-decade were 2.26 (95% CI, 1.88-2.70) and 1.09 (95% CI, 0.84-1.41), respectively (Table 1).

2. DM incidence rates according to age and sex

The incidence rates for both T1DM (2.69; 95% CI, 2.24-3.21) and T2DM (1.78; 95% CI, 1.41-2.21) were the highest in the 10- to 14-year-old group. The T1DM and T2DM incidence rates were 2.17 (95% CI, 1.80-2.59) and 0.84 (95% CI, 0.62-1.12) for females and 1.87 (95% CI, 1.55-2.24) and 0.67 (95% CI, 0.48-0.90) for males, respectively (Table 2). In particular, a recent rapid increase of T2DM incidence was identified among 10-14 year olds (P for trend: T1DM, 0.0184; T2DM, <0.0001; Fig. 3).

3. Type 1 and type 2 DM incidence rates according to region and seasonality

The T1DM and T2DM incidence rates were 2.38 (95% CI, 2.00-2.82) and 0.93 (95% CI, 0.70-1.22) in Busan and 1.66 (95% CI, 1.35-2.01) and 0.57 (95% CI, 0.40-0.80) in Gyeongnam, respectively. T1DM was diagnosed more often during spring (March-May) and winter (December-February), while T2DM was diagnosed more often during spring (March-May) and summer (June-August) (Table 3).

4. Factors related to DM incidence

Because the patient population was not large enough to allow us to analyze DM incidence-associated factors by year, the earlier (2001-2005) and latter (2006-2010) half-decades were compared. The adjusted latter half-decade IRRs were 1.31 (95% CI, 1.01-1.69) and 1.97 (95% CI, 1.25-3.11) for T1DM and T2DM, respectively.
The age-specific adjusted IRR was highest in the 10- to 14-year-old group for both T1DM (1.56; 95% CI, 1.09-2.23) and T2DM (2.87; 95%CI, 1.30-6.35). The sex-specific adjusted IRRs for females were 1.07 (95% CI, 0.83-1.38) and 1.56 (95% CI, 1.01-2.41) for T1DM and T2DM, respectively. The region-specific adjusted IRRs for Busan (an urban area) were 1.41 (95% CI, 1.09-1.83) and 1.49 (95% CI, 0.96-2.30) for T1DM and T2DM, respectively. The season-specific adjusted IRRs were not statistically significant (Table 4)
This study investigated the incidence rates and associated factors of T1DM and T2DM in children and adolescents under 15 years of age in Korea's Busan and Gyeongnam provinces from 2001 to 2010.
The T1DM incidences in Busan and Gyeongnam reported here are approximately twice as high as those reported in the Korean Pediatric Society's 1995-2000 Committee for Public Health Statistics of the Korean Pediatric Society report11), which reported an incidence of 1.07/100,000 in Busan and Gyeongnam. T1DM incidence significantly increased in the latter half-decade, and this trend is believed to be nationwide.
The T1DM incidence increase may also have been a result of the higher response rates to the questionnaires in this study compared to those of previous studies10)11). One such study11) showed a response rate of 24% from each hospital, while the present study showed a rate of 32%. The increased response rates were believed to be a result of the increased utilization of diabetes clinics specializing in child and adolescent T1DM in Busan and Gyeongnam. In fact, diabetes clinics for children and adolescents with pediatric endocrinologists on staff had a 100% response rate to the questionnaire, and their responses accounted for 77.6% of the total. This higher response rates may also be accounted for by sampling error, which is a limitation of the current study. The incidences were estimated based on reports from specialists, as was the case with many previous studies11). However, clinical symptoms of T1DM that occur in children and adolescents younger than 15 years of age show a pattern of acute illness10). Therefore, considering the fact that the patients were diagnosed and treated mostly by pediatricians within Busan and Gyeongnam, the sampling error in the present study is thought to be smaller than that of previous studies.
Furthermore, T2DM in children and adolescents is rapidly increasing globally. Before the 1990s, T2DM accounted for fewer than 3% of all newly diagnosed DM cases in the United States, and this increased to 45% in the 2000s8). In Japan, T2DM incidence from 1975 to 2000 was 3.0/100,000, which was almost double the T1DM incidence15). In Korea, one study examining patients from a single hospital indicated no T2DM patients before 1990, but there was an increased prevalence after 200016). The present study found similar results, in that there was no incidence of T2DM case in 2001, but there were increases in reports of T2DM patients each year after 2002. Much like that of T1DM, T2DM incidence showed a significant increase in the latter half-decade.
There may be several reasons for the T2DM incidence increase. First, the prevalence of obesity in children and adolescents and T2DM prevalence are closely related. Family history of DM, ethnic group genetic factors, industrial development, and westernization of lifestyles and dietary habits all contribute to obesity and T2DM incidences7)8). In Korean studies that examined child and adolescent T2DM patients, Park et al.16) and Yun et al.17) reported that 68% and 66.6% of the patients, respectively, were overweight or obese. Second, an increase in the survival rates of groups at high risk for developing T2DM, such as prematurity or intrauterine growth retardation, may contribute to increased T2DM incidence18)19). Third, the utilization of a urine sugar test in school health examinations played an important role in diagnosing T2DM by detecting asymptomatic glycosuria. In studies of child and adolescent T2DM patients in Korea, Hong et al.20) and Yun et al.17) reported that 46.7% and 47.8%, respectively, of those patients were diagnosed with asymptomatic glycosuria. In Japan, 6.27/100,000 of type 2 DM cases have been diagnosed annually since 1974 through school urine sugar tests15). Another factor is that physicians used to preferentially diagnose DM in pediatric patients as T1DM however, within the past 10 years, these physicians have started to increasingly examine the possibility of T2DM before making a final diagnosis.
However, it is possible that T2DM incidence in children and adolescents younger than 15 was underestimated in the present study because patients with T2DM detected from asymptomatic glycosuria may not actually visit a hospital; alternatively, they may also be treated according to an adult T2DM treatment protocol outside a pediatric department or receiving care in primary health care. Hence, additional studies based on data from the Insurance Review and Assessment Service or an investigation into the frequency of final DM confirmation from urine sugar tests during school health examinations are needed. Because T2DM is three or four times more prevalent than T1DM, greater T2DM awareness is needed in Korea.
Generally, T1DM occurs most frequently among 10-14 year olds, who are starting to undergo puberty21). Studies by the Korean Diabetes Society10) and the Korean Pediatric Society11) showed that this same age group had the highest T1DM age-specific incidence, and the present study confirms these results. Zhang et al.6) reported that the IRR of the 10- to 14-year-old group was about 4 times higher than that of the 0- to 4-year-old group. T2DM in children and adolescents, similarly to T1DM, is known to be most prevalent during puberty22). Park et al.16) reported that the 10- to 14-year-old group showed the highest incidence rate among T2DM patients, and the present study confirms these results.
In the present study, T1DM incidence was 2.68 times higher than that of T2DM. However, when annual incidence trends of T1DM and T2DM in the high-prevalence 10- to 14-year-old group were compared, T2DM showed a rapidly increasing recent trend, and it occurred more frequently than did T1DM in 10- to 14-year-old adolescents in 2010. Although data from a single year cannot be used to surmise that T2DM will be more prevalent than T1DM in the future, T2DM incidence should be more closely monitored.
T1DM incidence in patients under 15 years old varies greatly depending on regional or ethnic factors4). In Korea, where ethnic differences are almost nonexistent, regional differences were prominent. In a previous survey, incidence rates outside and inside Seoul were 0.68/100,000 and 1.86/100,000, respectively10). The present study also shows regional differences between the Busan (urban) and Gyeongnam (rural) regions. Urban regions may be more susceptible to the spread of pathogens within the environment with a more dense population, and various environmental factors associated with higher quality of living in terms of nutrition and lifestyle in urban regions may also play a role in the differences6). Region-specific T2DM incidence was also higher in Busan than in Gyeongnam. Thus, urbanization and subsequent lifestyle westernization, along with genetic factors, may be possible causes of the increase in T2DM incidence among Asians23).
In conclusion, the present study represents the most recent investigations into the changing trends in T1DM and T2DM incidence among Korean children and adolescents younger than 15 during the 2000s. Between 2001 and 2010, T1DM and T2DM incidence rates both showed increasing trends, and T2DM's incidence appears to be increasing at a much faster pace, which may explain the higher incidence of T2DM compared to T1DM among 10-14 year olds in 2010. These results suggest the need for close monitoring of DM incidences in children and adolescents, as well as for follow-up studies concerning T2DM risk factors.

Acknowledgments

The authors wish to express special thanks to the following: Jae Sun Park (Department of Pediatrics, Kosin University College of Medicine); Kyunglae Cho (Department of Pediatrics, Sungkyunkwan University College of Medicine, Masan Samsung Hospital); Eun Sil Park (Department of Pediatrics, Gyeongsang National University College of Medicine); Sun Hee Lee (Department of Pediatrics, Inje University College of Medicine); Eun-Young Kwon (Department of Pediatrics, Good Samsun Hospital); Kyun Woo Lee (Department of Pediatrics, Dae Dong Hospital); So Eun Jun (Department of Pediatrics, Pusan National University School of Medicine); Woo Sik Jung (Department of Pediatrics, Dae Dong Hospital); Yun-Jin Bae (Department of Pediatrics, Pusan Adventist Hospital); and Eun-Jeong Choi (Department of Pediatrics, Ilsin Christian Hospital). The authors also wish to extend their gratitude to the many pediatric physicians in Busan and Gyeongnam who provided valuable data and feedback.
This study was supported by the Dong-A University Research Fund.

Notes

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

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Fig. 1

Procedures: analysis of incidence trends and associated factors of diabetes mellitus in children and adolescents, aged 0-14 years, in Busan and Gyeongnam, Korea (2001-2010).

apem-20-206-g001.jpg
Fig. 2

Incidence of type 1 (A) and type 2 (B) diabetes mellitus in children and adolescents, aged 0-14 years, in Busan and Gyeongnam, Korea (2001-2010). The confidence interval (CI) was calculated using a Poisson distribution. The incidence rate was fitted, and a linear trend test was completed using a Poisson linear regression model.

apem-20-206-g002.jpg
Fig. 3

Diabetes mellitus incidence in children and adolescents, aged 10-14 years, in Busan and Gyeongnam, Korea (2001-2010). T1DM, type 1 diabetes mellitus; T2DM, type 2 diabetes mellitus. The incidence rate was fitted, and a linear trend test was performed with the Poisson linear regression model.

apem-20-206-g003.jpg
Table 1

Annual and average crude diabetes mellitus incidence rates in children and adolescents, aged 0-14 years, in Busan and Gyeongnam, Korea (2001-2010)

Year Population (n) Type 1 diabetes Type 2 diabetes
Cases (n) Incidence ratesa) (95% CIb)) Cases (n) Incidence ratesa) (95% CIb))
2001 1,339,760 18 1.34 (0.80-2.12) 0 0
2002 1,311,469 15 1.14 (0.64-1.89) 4 0.31 (0.08-0.78)
2003 1,282,613 23 1.79 (1.14-2.69) 7 0.56 (0.22-1.12)
2004 1,250,423 27 2.16 (1.42-3.14) 7 0.56 (0.23-1.15)
2005 1,215,864 32 2.63 (1.80-3.72) 11 0.90 (0.45-1.62)
2006 1,173,179 17 1.45 (0.84-2.32) 10 0.85 (0.41-1.57)
2007 1,135,231 28 2.47 (1.64-3.56) 9 0.79 (0.36-1.50)
2008 1,095,948 20 1.85 (1.11-2.82) 7 0.64 (0.27-1.32)
2009 1,055,991 32 3.03 (2.07-4.23) 16 1.52 (0.87-2.46)
2010 1,020,462 27 2.65 (1.74-3.85) 18 1.76 (1.05-2.79)
2001-2005 6,400,129 115 1.80 (1.48-2.16) 29 0.45 (0.30-0.65)
2006-2010 5,480,811 124 2.26 (1.88-2.70) 60 1.09 (0.84-1.41)
2001-2010 11,880,940 239 2.01 (1.76-2.28) 89 0.75 (0.60-0.92)

a)Unit: per 100,000. b)Confidence interval (CI) was calculated using a Poisson distribution.

Table 2

Diabetes mellitus incidence rates according to sex and age group in children and adolescents, aged 0-14 years, in Busan and Gyeongnam, Korea (2001-2010)

Gender Age group (yr) Population (n) Type 1 diabetes Type 2 diabetes
Case (n) Incidence ratesa) (95% CIb)) Case (n) Incidence ratesa) (95% CIb))
Male 0-4 1,675,618 19 1.13 (0.68-1.77) 0 0
5-9 2,159,179 36 1.67 (1.17-2.31) 3 0.14 (0.03-0.40)
10-14 2,473,705 63 2.55 (1.96-3.29) 39 1.58 (1.12-2.15)
0-14 6,308,502 118 1.87 (1.55-2.24) 42 0.67 (0.48-0.90)
Female 0-4 1,529,125 22 1.44 (0.90-2.18) 0 0
5-9 1,906,494 38 1.99 (1.41-2.74) 4 0.21 (0.06-0.54)
10-14 2,136,819 61 2.85 (2.18-3.67) 43 2.01 (1.46-2.71)
0-14 5,572,438 121 2.17 (1.80-2.59) 47 0.84 (0.62-1.12)
Total 0-4 3,204,743 41 1.28 (0.92-1.74) 0 0
5-9 4,065,673 74 1.82 (1.43-2.29) 7 0.17 (0.07-0.35)
10-14 4,610,524 124 2.69 (2.24-3.21) 82 1.78 (1.41-2.21)
0-14 11,880,940 239 2.01 (1.76-2.28) 89 0.75 (0.60-0.92)

a)Unit: per 100,000. b)Confidence interval (CI) was calculated using a Poisson distribution.

Table 3

Diabetes mellitus incidence rates according to region and season in children and adolescents, aged 0-14 years, in Busan and Gyeongnam, Korea (2001-2010)

Region Population (n) Type 1 diabetes Type 2 diabetes
Case (n) Incidence ratesa) (95% CIa)) Case (n) Incidence ratesa) (95% CIa))
Region
Busan (urban) 5,787,727 138 2.38 (2.00-2.82) 54 0.93 (0.70-1.22)
Gyeongnam (rural) 6,093,213 101 1.66 (1.35-2.01) 35 0.57 (0.40-0.80)
Seasonc)
Spring 11,880,940 64 0.54 (0.41-0.69) 31 0.26 (0.18-0.37)
Summer 11,880,940 45 0.38 (0.28-0.51) 35 0.29 (0.20-0.41)
Autumn 11,880,940 61 0.51 (0.39-0.66) 9 0.08 (0.03-0.14)
Winter 11,880,940 69 0.58 (0.45-0.73) 14 0.12 (0.06-0.20)
Total 11,880,940 239 2.01 (1.76-2.28) 89 0.75 (0.60-0.92)

a)Unit : per 100,000. b)Confidence interval (CI) was calculated using a Poisson distribution. c)Spring, March-May; Summer, June-August; Fall, September-November; Winter, December-February.

Table 4

Risk factors related to diabetes mellitus development in children and adolescents, aged 0-14 years, in Busan and Gyeongnam, Korea (2001-2010)

Factor Type 1 diabetes Type 2 diabetes
RRa) 95% CIb) P-value RRa) 95% CIb) P-value
Period (yr)
 2001-2005 1.00 1.00
 2006-2010 1.31 1.01-1.69 0.038 1.97 1.25-3.11 0.004
Age group (yr)
 0-4 1.00
 5-9 1.28 0.87-1.88 0.214 1.00
 10-14 1.56 1.09-2.23 0.015 2.87 1.30-6.35 0.009
Sex
 Male 1.00 1.00
 Female 1.07 0.83-1.38 0.619 1.56 1.01-2.41 0.044
Region
 Gyeongnam 1.00 1.00
 Busan 1.41 1.09-1.83 0.009 1.49 0.96-2.30 0.073
Season of onsetc)
 Spring 1.00 1.00
 Summer 0.69 0.47-1.02 0.061 0.96 0.59-1.56 0.860
 Autumn 0.88 0.62-1.25 0.477 0.72 0.34-1.53 0.392
 Winter 0.98 0.70-1.38 0.930 0.52 0.28-0.99 0.107

a)Adjusted rate ratio (RR) for each factor was estimated by a multiple Poisson regression model. b)Confidence interval (CI) was calculated using a Poisson distribution. c)Spring, March-May; Summer, June-August; Fall, September-November; Winter, December-February.



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