0
Editorial |

Incidence of Diabetes in Children and Youth—Tracking a Moving Target

Rebecca B. Lipton, PhD, MPH, BSN
[+] Author Affiliations

Author Affiliation: Department of Pediatrics, University of Chicago, Chicago, Ill.

More Author Information
JAMA. 2007;297(24):2760-2762. doi:10.1001/jama.297.24.2760
Text Size: A A A
Published online

Diabetes mellitus takes a huge toll on individual patients in terms of health care complications, such as blindness, kidney failure, cardiovascular disease, and amputations, and also exacts a huge burden on society, in terms of consumption of health care resources. Diabetes occurring early in life has even more devastating effects on the ability of young patients to live full lives and results in substantially increased health care costs related to treating a lifelong, complex disease. Diabetes is the most prevalent chronic disease of childhood after asthma1 ; therefore, monitoring trends in childhood diabetes is a public health imperative.

The need for standardized data on diabetes began to be addressed in the 1980s, with the establishment of the World Health Organization–sponsored Diabetes Mondiale (DiaMond) study, a consortium of approximately 150 population-based registries that used the same methods for case definition, ascertainment, and validation.2 3 This study initially included 6 registries in the United States (Birmingham, Ala; Philadelphia, Pa; Allegheny County, Pa; Chicago, Ill; US Virgin Islands; and Puerto Rico). Soon thereafter, a collaboration among more than 40 centers across Europe was established, again using standardized methods.4 During the past 20 years, these projects have contributed valuable surveillance data on diabetes, as well as key information on geographic differences, environmental contaminants, infectious exposures, and other potential risk factors.5

Although there has been an unprecedented increase in childhood obesity during the past 2 decades, a careful examination of the epidemiological data on diabetes in youth presents a more complicated picture. Longstanding incidence studies in the United States and elsewhere2 9 show increasing rates of type 1 diabetes mellitus (DM) since 1980, concurrent with the increase in childhood obesity. The DiaMond consortium demonstrated an average annual increase in diabetes incidence of 5.6% per year in the United States during the 1990s.2 3 Major increases in diabetes have occurred in all areas of the globe, averaging 2.8% per year between 1990 and 1999 in children aged 0 to 14 years.2 3 The convergence of these trends suggests that obesity may be driving the autoimmune beta-cell failure underlying type 1 DM, a notion that is gaining credence.10 11 Specifically, excess adiposity appears to play a role in stimulating and prolonging autoimmune insulitis.12

An alternative and quite logical explanation might attribute the documented increase in childhood type 1 DM to unrecognized type 2 DM presenting in obese, young individuals. Certainly, physician diagnostic practices are in flux. Before 1997, virtually all diabetes in young individuals was thought to be autoimmune type 1 DM. Now there is widespread recognition that insulin-resistant type 2 DM can occur in childhood.13 14 However, type 2 DM is still rare among young individuals, as demonstrated in the accompanying article in this issue of JAMA by the SEARCH for Diabetes in Youth Study Group,15 and by other studies.8 9 In absolute terms, the number of young individuals with type 2 DM is low, estimated at 39 000 among those younger than 20 years in the United States compared with approximately 19 million adults (≥20 years).16

Despite this relatively low prevalence, obesity in youth carries a variety of other perils. Obesity is directly linked to insulin resistance and increased likelihood of early adult cardiovascular disease, type 2 DM, and gestational diabetes. Women with gestational diabetes experience a 50% risk for developing type 2 DM within 5 years,17 and exposure to diabetes in utero is a promoter of childhood obesity in their offspring,18 setting up a vicious cycle. The earlier in life insulin resistance appears, the earlier its pathologic sequelae. Consequently, increasing rates of childhood obesity may be driving “epidemics” of both type 1 and type 2 DM.

A key issue for epidemiological research, genetics, and clinical practice is to distinguish type 1 DM from type 2 DM as accurately as possible. This is often not straightforward: most patients with “true” type 1 DM continue to secrete some insulin for several years after diagnosis,19 and patients clinically determined to have type 2 DM frequently display islet autoantibodies, particularly to glutamic acid decarboxylase. Furthermore, evidence is accumulating that type 2 DM in young individuals is qualitatively different from that in older adults, often resulting from an interplay of insulin resistance and autoimmunity.20 In a study from Chicago,8 children classified at onset (mean [SD], 13.1 [3.2] years; range, 0-17 years) as having type 2 DM on the basis of medical records displayed severe onset signs and symptoms, including a high prevalence of diabetic ketoacidosis. When these children were examined approximately 8 years after their initial diagnosis, more than half of the young patients with type 2 DM demonstrated islet autoantibodies, no residual beta-cell function, or both.21 The study by Umpaichitra et al22 described a group of young non-Hispanic black patients with intermediate type 2 DM features, and the study by Reinehr et al23 reported that follow-up of a large cohort of young patients in Germany demonstrated islet autoimmunity in more than 30% of young people who were clinically diagnosed with type 2 DM.

The SEARCH for Diabetes in Youth study15 in this issue of JAMA offers a snapshot of diabetes risk for US children and teenagers in 2002-2003. The incidence rates were developed as part of the SEARCH study, a recent Centers for Disease Control and Prevention effort to collect data across the United States that has features in common with the ongoing DiaMond protocols, but is not fully integrated with the existing long-term databases. The SEARCH collaboration encompasses 10 geographically distinct sites: 4 population-based registries (Cincinnati, Ohio; the states of Colorado, South Carolina, and Washington), 4 American Indian reservation-based health plans in Arizona and New Mexico, and 2 large health maintenance organizations (Kaiser-Permanente in California and Hawaii). Physician reports, hospitals, and patient self-referrals contributed cases, and the completeness of ascertainment was validated in the 4 population-based registries. All cases of diabetes in youth younger than 20 years were registered, except for gestational diabetes, and the phenotype (type 1 DM, type 2 DM, mixed, secondary diabetes, type unknown) was determined from physician diagnoses or patient self-reports.

The risk of diabetes before age 20 years was determined to be 24.3 per 100 000 per year overall, with higher risk (>25 per 100 000 per year) for non-Hispanic white, non-Hispanic black, and American Indian youth compared with Hispanics and Asian ethnicities, whose risk was less than 20 per 100 000 per year. Although the majority of cases (78%) were classified as type 1 DM, rates of apparent type 2 DM increased with age and were more frequent among non-Hispanic black, Asian, and American Indian individuals. Diagnosis of type 2 DM was not confined to minority youth, as 15% of non-Hispanic white youth aged 10 to 19 years were classified as having type 2 DM. Furthermore, a significant fraction of American Indian and Asian youth aged 10 to 19 years were diagnosed with type 1 DM (14% and 30%, respectively).

The SEARCH research group was able to determine beta-cell function and glutamic acid decarboxylase antibody status on approximately 40% of their registered study participants within approximately 1 year of diagnosis, in an attempt to validate their reported phenotypes. However, testing for IA-2 (a tyrosine phosphatase–associated molecule) antibodies, considered the best indicator of type 1 DM at onset, was not performed, and testing for residual beta-cell function is not very useful so soon after diagnosis.19 Among patients diagnosed at ages 10 to 19 years who were examined, only 22% of the patients with type 1 DM (and 1 of the 151 patients with type 2 DM) had no endogenous insulin production. Fully 66% of type 1 DM and 22% of type 2 DM patients had evidence of positive glutamic acid decarboxylase antibody, and one third of the patients with type 2 DM were using insulin. Although these observations must be viewed with caution, they suggest that a substantial fraction of young patients with diabetes appears to have a mixed etiology, in agreement with other studies.20 23

The SEARCH project15 adds some detail to the understanding of the changing nature of diabetes risk in the United States. The authors have ascertained cases in a range of settings, under the stringent privacy regulations that have constrained much population-based research in the United States recently.24 In particular, their group is well positioned to examine geographic differences in diabetes risk among the diverse locations represented in the SEARCH study. As this and other research goes forward, it may be possible to develop a better understanding of the interplay of autoimmunity with youth-onset diabetes. There is an urgent need to go beyond studies such as this one by implementing a coordinated approach for childhood diabetes surveillance (ie, mandated case-reporting). Only then can society respond effectively to the serious and increasing challenge of diabetes in youth.

AUTHOR INFORMATION

Corresponding Author: Rebecca B. Lipton, PhD, MPH, BSN, Department of Pediatrics, University of Chicago, University of Chicago Hospitals C576, MC 5053, Chicago, IL 60637 (lipton@uchicago.edu).

Financial Disclosures: None reported.

Editorials represent the opinions of the authors and JAMA and not those of the American Medical Association.

Gortmaker SL, Sappenfield W. Chronic childhood disorders: prevalence and impact.  Pediatr Clin North Am. 1984;313-18
PubMed
DIAMOND Project Group.  Incidence and trends of childhood type 1 diabetes worldwide 1990-1999.  Diabet Med. 2006;23857-866
PubMed
 DiaMond Web site. WHO DIAMOND Project. http://www.pitt.edu/~iml1/diabetes/DIAMOND.html. Accessibility verified May 22, 2007
Green A, Patterson CC.EURODIAB TIGER Study Group, Europe and Diabetes.  Trends in the incidence of childhood-onset diabetes in Europe 1989-1998.  Diabetologia. 2001;44(suppl 3)  B3-B8
PubMed
Patterson CC, Dahlquist G, Soltesz G, Green A.EURODIAB ACE Study Group, Europe and Diabetes.  Is childhood-onset type I diabetes a wealth-related disease? an ecological analysis of European incidence rates.  Diabetologia. 2001;44(suppl 3)  B9-B16
PubMed
Taplin CE, Craig ME, Lloyd M.  et al.  The rising incidence of childhood type 1 diabetes in New South Wales, 1990-2002.  Med J Aust. 2005;183243-246
PubMed
Carrasco E, Pérez-Bravo F, Dorman J, Mondragón A, Santos JL. Increasing incidence of type 1 diabetes in population from Santiago of Chile: trends in a period of 18 years (1986-2003).  Diabetes Metab Res Rev. 2006;2234-37
PubMed
Lipton R, Keenan H, Onyemere KU, Freels S. Incidence and onset features of diabetes in African-American and Latino children in Chicago, 1985-1994.  Diabetes Metab Res Rev. 2002;18135-142
PubMed
Lipman TH, Jawad AF, Murphy KM.  et al.  Incidence of type 1 diabetes in Philadelphia is higher in black than white children from 1995 to 1999: epidemic or misclassification?  Diabetes Care. 2006;292391-2395
PubMed
Johansson C, Samuelsson U, Ludvigsson J. A high weight gain early in life is associated with an increased risk of type 1 (insulin-dependent) diabetes.  Diabetologia. 1994;3791-94
PubMed
Hyppönen E, Virtanen SM, Kenward MG, Knip M, Akerblom HK.Childhood Diabetes in Finland Study Group.  Obesity, increased linear growth, and risk of type 1 diabetes in children.  Diabetes Care. 2000;231755-1760
PubMed
Wilkin TJ. For debate: the accelerator hypothesis: weight gain as the missing link between type 1 and type 2 diabetes.  Diabetologia. 2001;44914-922
PubMed
Scott CR, Smith JM, Cradock MM, Pihoker C. Characteristics of youth-onset noninsulin-dependent diabetes mellitus and insulin-dependent diabetes mellitus at diagnosis.  Pediatrics. 1997;10084-91
PubMed
Macaluso CJ, Bauer UE, Deeb LC.  et al.  Type 2 diabetes among Florida children and adolescents, 1994-1998.  Public Health Rep. 2002;117373-379
PubMed
The Writing Group for the SEARCH for Diabetes in Youth Study Group.  Incidence of diabetes in youth in the United States.  JAMA. 2007;2972716-2724
Centers for Disease Control and Prevention.  National Diabetes Fact Sheet, 2005. Atlanta, Ga: US Dept of Health and Human Services; 2005
Metzger BE, Cho NH, Roston SM, Radvany R. Prepregnancy weight and antepartum insulin secretion predict glucose tolerance five years after gestational diabetes mellitus.  Diabetes Care. 1993;161598-1605
PubMed
Boney CM, Verma A, Tucker R, Vohr BR. Metabolic syndrome in childhood: association with birth weight, maternal obesity, and gestational diabetes mellitus.  Pediatrics. 2005;115e290-e296
PubMed
The DCCT Research Group.  Effects of age, duration and treatment of insulin-dependent diabetes mellitus on residual beta-cell function: observations during eligibility testing for the Diabetes Control and Complications Trial (DCCT).  J Clin Endocrinol Metab. 1987;6530-36
PubMed
Libman IM, Pietropaolo M, Arslanian SA, LaPorte RE, Becker DJ. Evidence for heterogeneous pathogenesis of insulin-treated diabetes in black and white children.  Diabetes Care. 2003;262876-2882
PubMed
Lipton R, Drum M, Baumann E, Burnet D, Hagopian W. Phenotyping minority young people: is it type 1 or type 2 diabetes [abstract]?  Diabetes. 2005;54(suppl 1)  A670
Umpaichitra V, Banerji MA, Castells S. Autoantibodies in children with type 2 diabetes mellitus.  J Pediatr Endocrinol Metab. 2002;15(suppl 1)  525-530
PubMed
Reinehr T, Schober E, Wiegand S, Thon A, Holl R.DPV-Wiss Study Group.  Beta-cell autoantibodies in children with type 2 diabetes mellitus: subgroup or misclassification?  Arch Dis Child. 2006;91473-477
PubMed
Deapen D. Cancer surveillance and information: balancing public health with privacy and confidentiality concerns (United States).  Cancer Causes Control. 2006;17633-637
PubMed

First Page Preview

First page PDF preview

Figures

Tables

Interactive Graphics

Video

Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

Gortmaker SL, Sappenfield W. Chronic childhood disorders: prevalence and impact.  Pediatr Clin North Am. 1984;313-18
PubMed
DIAMOND Project Group.  Incidence and trends of childhood type 1 diabetes worldwide 1990-1999.  Diabet Med. 2006;23857-866
PubMed
 DiaMond Web site. WHO DIAMOND Project. http://www.pitt.edu/~iml1/diabetes/DIAMOND.html. Accessibility verified May 22, 2007
Green A, Patterson CC.EURODIAB TIGER Study Group, Europe and Diabetes.  Trends in the incidence of childhood-onset diabetes in Europe 1989-1998.  Diabetologia. 2001;44(suppl 3)  B3-B8
PubMed
Patterson CC, Dahlquist G, Soltesz G, Green A.EURODIAB ACE Study Group, Europe and Diabetes.  Is childhood-onset type I diabetes a wealth-related disease? an ecological analysis of European incidence rates.  Diabetologia. 2001;44(suppl 3)  B9-B16
PubMed
Taplin CE, Craig ME, Lloyd M.  et al.  The rising incidence of childhood type 1 diabetes in New South Wales, 1990-2002.  Med J Aust. 2005;183243-246
PubMed
Carrasco E, Pérez-Bravo F, Dorman J, Mondragón A, Santos JL. Increasing incidence of type 1 diabetes in population from Santiago of Chile: trends in a period of 18 years (1986-2003).  Diabetes Metab Res Rev. 2006;2234-37
PubMed
Lipton R, Keenan H, Onyemere KU, Freels S. Incidence and onset features of diabetes in African-American and Latino children in Chicago, 1985-1994.  Diabetes Metab Res Rev. 2002;18135-142
PubMed
Lipman TH, Jawad AF, Murphy KM.  et al.  Incidence of type 1 diabetes in Philadelphia is higher in black than white children from 1995 to 1999: epidemic or misclassification?  Diabetes Care. 2006;292391-2395
PubMed
Johansson C, Samuelsson U, Ludvigsson J. A high weight gain early in life is associated with an increased risk of type 1 (insulin-dependent) diabetes.  Diabetologia. 1994;3791-94
PubMed
Hyppönen E, Virtanen SM, Kenward MG, Knip M, Akerblom HK.Childhood Diabetes in Finland Study Group.  Obesity, increased linear growth, and risk of type 1 diabetes in children.  Diabetes Care. 2000;231755-1760
PubMed
Wilkin TJ. For debate: the accelerator hypothesis: weight gain as the missing link between type 1 and type 2 diabetes.  Diabetologia. 2001;44914-922
PubMed
Scott CR, Smith JM, Cradock MM, Pihoker C. Characteristics of youth-onset noninsulin-dependent diabetes mellitus and insulin-dependent diabetes mellitus at diagnosis.  Pediatrics. 1997;10084-91
PubMed
Macaluso CJ, Bauer UE, Deeb LC.  et al.  Type 2 diabetes among Florida children and adolescents, 1994-1998.  Public Health Rep. 2002;117373-379
PubMed
The Writing Group for the SEARCH for Diabetes in Youth Study Group.  Incidence of diabetes in youth in the United States.  JAMA. 2007;2972716-2724
Centers for Disease Control and Prevention.  National Diabetes Fact Sheet, 2005. Atlanta, Ga: US Dept of Health and Human Services; 2005
Metzger BE, Cho NH, Roston SM, Radvany R. Prepregnancy weight and antepartum insulin secretion predict glucose tolerance five years after gestational diabetes mellitus.  Diabetes Care. 1993;161598-1605
PubMed
Boney CM, Verma A, Tucker R, Vohr BR. Metabolic syndrome in childhood: association with birth weight, maternal obesity, and gestational diabetes mellitus.  Pediatrics. 2005;115e290-e296
PubMed
The DCCT Research Group.  Effects of age, duration and treatment of insulin-dependent diabetes mellitus on residual beta-cell function: observations during eligibility testing for the Diabetes Control and Complications Trial (DCCT).  J Clin Endocrinol Metab. 1987;6530-36
PubMed
Libman IM, Pietropaolo M, Arslanian SA, LaPorte RE, Becker DJ. Evidence for heterogeneous pathogenesis of insulin-treated diabetes in black and white children.  Diabetes Care. 2003;262876-2882
PubMed
Lipton R, Drum M, Baumann E, Burnet D, Hagopian W. Phenotyping minority young people: is it type 1 or type 2 diabetes [abstract]?  Diabetes. 2005;54(suppl 1)  A670
Umpaichitra V, Banerji MA, Castells S. Autoantibodies in children with type 2 diabetes mellitus.  J Pediatr Endocrinol Metab. 2002;15(suppl 1)  525-530
PubMed
Reinehr T, Schober E, Wiegand S, Thon A, Holl R.DPV-Wiss Study Group.  Beta-cell autoantibodies in children with type 2 diabetes mellitus: subgroup or misclassification?  Arch Dis Child. 2006;91473-477
PubMed
Deapen D. Cancer surveillance and information: balancing public health with privacy and confidentiality concerns (United States).  Cancer Causes Control. 2006;17633-637
PubMed
CME Course for:


You need to register in order to view this quiz.


To understand the clinical management of acute heart failure syndromes.
Accreditation Information The American Medical Association is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.
The AMA designates this journal-based CME activity for a maximum of 1 AMA PRA Category 1 CreditTM per course. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Physicians who complete the CME course and score at least 80% correct on the quiz are eligible for AMA PRA Category 1 CreditTM.
Note: You must get at least of the answers correct to pass this quiz.
Note: You must get at least of the answers correct to pass this quiz.
You have not filled in all the answers to complete this quiz
The following questions were not answered:
Sorry, you have unsuccessfully completed this CME quiz with a score of
The following questions were not answered correctly:
For CME Course: A Proposed Model for Initial Assessment and Management of Acute Heart Failure Syndromes
Indicate what changes(s) you will implement in your practice, if any, based on this CME course.
To view and print your certificate and access a summary of your CME courses go to My CME.
NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s “Cited By” API will populate this tab (http://www.crossref.org/citedby.html).
Submit a Response

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Articles Related By Topic
Related Topics
PubMed Articles
JAMAevidence.com

Users' Guides to the Medical Literature
Example 1: Diabetes and Target Blood Pressure

Users' Guides to the Medical Literature
Table 9.2-3 Refuted Evidence From Observational Studiesa