Literature DB >> 21278139

Rising rates of all types of diabetes in south Asian and non-south Asian children and young people aged 0-29 years in West Yorkshire, U.K., 1991-2006.

Katie L Harron1, Richard G Feltbower, Patricia A McKinney, H Jonathan Bodansky, Fiona M Campbell, Roger C Parslow.   

Abstract

OBJECTIVE: To investigate incidence trends of all diabetes types in all children and young people and in the south Asian subpopulation. RESEARCH DESIGN AND METHODS: Annual incidence per 100,000 and time trends (1991-2006) were analyzed for 2,889 individuals aged 0-29 years diagnosed with diabetes while resident in West Yorkshire, U.K.
RESULTS: Diagnoses comprised type 1 (83%), type 2 (12%), maturity-onset diabetes of the young (0.7%), "J"-type/other (0.1%), and uncertain/unclassified (4%). There was a lower incidence of type 1 and a threefold excess of type 2 in south Asians compared with non-south Asians. Type 1 incidence leveled out and type 2 increased after the first south Asian case of type 2 was diagnosed in 1999. Type 2 and unclassified diabetes incidence rose in all population subgroups.
CONCLUSIONS: The burden of diabetes increased over time for both ethnic groups, with a significant excess of type 2 diabetes in south Asians. The rising incidence of type 1 diabetes in south Asians attenuated as type 2 diabetes increased after 1999.

Entities:  

Mesh:

Year:  2011        PMID: 21278139      PMCID: PMC3041200          DOI: 10.2337/dc10-1512

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


Type 1 diabetes incidence is stable in young adults (1,2), contrasting with rising rates in children (3,4). In south Asia, the incidence is low (4), but south Asian children had rates similar to the indigenous population in the U.K. up to 1999 (5). An increasing incidence of type 2 diabetes in children and young people is reported in the U.K. and worldwide (6–8), but in Asia it has emerged more quickly—and in younger age groups—than elsewhere (9). In this report we have analyzed incidence trends in all types of diabetes to assess the total burden of diabetes in children and young people.

RESEARCH DESIGN AND METHODS

Data on individuals aged 0–29 years diagnosed with any type of diabetes (excluding gestational) from 1 January 1991 to 31 December 2006 were extracted from clinical notes by a dedicated Register Manager and entered onto the population-based Yorkshire Register of Diabetes in Children and Young People for residents of West Yorkshire, which has a 97.6% level of completeness (1). Type of diabetes was defined in accordance with World Health Organization guidelines (10) as type 1, type 2, maturity-onset diabetes of the young (MODY), “J”-type/other, and uncertain/unclassified. Original diagnoses of uncertain/unclassified were reclassified as type 1 for 18% (n = 32) and type 2 for 11% (n = 20). Analyses are based on the final diagnosis type and first diagnosis date. Ethnicity was assigned as south Asian (Pakistani, Indian, Bangladeshi) or non-south Asian (all other ethnicities) using the South Asian Names Analysis Program (Nam Pehchan) and the South Asian Name and Group Recognition Algorithm (SANGRA), two independent name recognition programs that are validated and sensitive tools for identifying south Asians (11,12). Where the programs disagreed (<1%), a local expert examined the names and assigned ethnicity. Incidence was defined as the number of newly diagnosed cases per calendar year and 100,000 population at risk. Age-sex standardized rates were derived using indirect standardization. Populations for West Yorkshire were provided by the Office for National Statistics, supplemented by estimated midyear population denominators by age, sex, and ethnic group. Three-year moving average rates were calculated to assess trends in incidence. Effects on incidence of age at diagnosis (5-year groups), sex, ethnicity (south Asian or not), and year of diagnosis on all types, type 1, type 2 and uncertain/unclassified diabetes were analyzed using Poisson regression. Average annual percentage change (AAPC) and 95% CIs were derived using the coefficient for year in the Poisson model. All analyses were done in Stata 11 software (StataCorp LP, College Station, TX).

RESULTS

Diabetes was diagnosed in 2,889 children and young people, with 83% (n = 2,410) type 1, 12% (n = 337) type 2, 0.7% (n = 19) MODY, 0.1% (n = 1 of each) “J”-type or other, 0.1% (n = 4) not recorded, and 4% (n = 117) uncertain/unclassified.

Incidence

The incidence (95% CI) of all diabetes (aged 0–29 years) was 21.0 (20.2–21.7) per 100,000, with no statistically significant differences between south Asians and non-south Asians. The incidence of type 1 diabetes was 17.6 (16.9–18.3), with significantly higher rates in non-south Asians (18.3 [18.3–19.0]) than in south Asians (13.1 [11.4–14.8]). Type 2 incidence was 2.5 (2.2–2.7), which was significantly lower for non-south Asians (1.8 [1.6–2.1]) than south Asians (6.9 [5.6–8.1]). Incidence of uncertain/unclassified diabetes was 0.8 (0.67–0.98) and was lower for non-south Asians.

Time trends

AAPC was 4.0% (95% CI 3.2–4.8) overall, and significantly greater in south Asians (7.0% [4.8–9.2]) compared with non-south Asians (3.6% [2.7–4.4]) (Fig. 1) and females (5.3% [4.1–6.4]) compared with males (3.0% [1.9–4.0]). For type 1 diabetes, AAPC was 1.3% (0.4–2.2) overall, with a significant increasing trend seen in non-south Asians (1.4% [0.5–2.3]) compared with no trend in south Asians (0.0% [−2.8 to 2.8]). Annual incidence increased significantly for children (aged 0–14 years) at 2.9% (1.7–4.0), but was stable for young people aged 15–29 years (0.6% [−1.9 to 0.7]). For type 2, the incidence in those aged younger than 30 years rose from 0.1 to 4.9 per 100,000 between 1991 and 2006 and AAPC was 19.4% (16.5–22.2) overall, with incidence increasing at a similar rate for both ethnic groups. Incidence increased at a faster rate for children aged 0–14 (37.4% [21.5–53.2]) compared with those aged 15–29 (18.1% [15.3–21.0]).
Figure 1

Age-sex adjusted 3-year moving average incidence rates by ethnic group. (A high-quality color representation of this figure is available in the online issue.)

Age-sex adjusted 3-year moving average incidence rates by ethnic group. (A high-quality color representation of this figure is available in the online issue.) The proportion of uncertain/unclassified cases per year rose from 0% in 1991 to 8% in 2006. AAPC was 26.4% (95% CI 20.7–32.1) overall, with similar increases for both ethnic groups.

CONCLUSIONS

An increasing burden of diabetes was observed in non-south Asian and south Asian children and young people, with a rising incidence of type 1 diabetes confirmed in children (3,4) and stable rates for young adults (1,2). Although the proportion of south Asians in the diabetes population (13%) was similar to the background population, south Asians had a lower incidence of type 1 diabetes but an excess of type 2, with an apparent shift from diagnosis of type 1 to type 2 from 2000 onwards. The previously reported steep rise in incidence of type 1 diabetes in south Asian children up to 1999 (5) was not sustained, possibly as a result of a change in the recognition that type 2 and other forms of diabetes are emerging in younger age groups. All south Asian children diagnosed with type 2 diabetes between 1991 and 2006 were 10 years or older, and a fall in type 1 in those 15 to 29 years old in the second period is unlikely to be attributable to changes in diagnostic classification. There are clinical challenges in the differential diagnosis of type 1 and type 2 diabetes (13,14). Treatment can be based on symptoms with no clear diagnosis, reflected in rising numbers of uncertain/unclassified diagnoses (two diagnoses in the first 5 years, with 91 thereafter). We acknowledge that we may have underestimated the incidence of type 2 especially in earlier years, a problem identified in an earlier survey (15), but these observations confirm the importance of including all forms of diabetes in our analyses.
  14 in total

1.  An assessment of the Nam Pehchan computer program for the identification of names of south Asian ethnic origin.

Authors:  C Cummins; H Winter; K K Cheng; R Maric; P Silcocks; C Varghese
Journal:  J Public Health Med       Date:  1999-12

2.  Development and validation of a computerized South Asian Names and Group Recognition Algorithm (SANGRA) for use in British health-related studies.

Authors:  K Nanchahal; P Mangtani; M Alston; I dos Santos Silva
Journal:  J Public Health Med       Date:  2001-12

Review 3.  The global spread of type 2 diabetes mellitus in children and adolescents.

Authors:  Orit Pinhas-Hamiel; Philip Zeitler
Journal:  J Pediatr       Date:  2005-05       Impact factor: 4.406

4.  Incidence trends for childhood type 1 diabetes in Europe during 1989-2003 and predicted new cases 2005-20: a multicentre prospective registration study.

Authors:  Christopher C Patterson; Gisela G Dahlquist; Eva Gyürüs; Anders Green; Gyula Soltész
Journal:  Lancet       Date:  2009-05-27       Impact factor: 79.321

5.  Incidence and trends of childhood Type 1 diabetes worldwide 1990-1999.

Authors: 
Journal:  Diabet Med       Date:  2006-08       Impact factor: 4.359

6.  Trends in the incidence of childhood diabetes in south Asians and other children in Bradford, UK.

Authors:  R G Feltbower; H J Bodansky; P A McKinney; J Houghton; C R Stephenson; D Haigh
Journal:  Diabet Med       Date:  2002-02       Impact factor: 4.359

Review 7.  Epidemic obesity and type 2 diabetes in Asia.

Authors:  Kun-Ho Yoon; Jin-Hee Lee; Ji-Won Kim; Jae Hyoung Cho; Yoon-Hee Choi; Seung-Hyun Ko; Paul Zimmet; Ho-Young Son
Journal:  Lancet       Date:  2006-11-11       Impact factor: 79.321

8.  Global burden of diabetes, 1995-2025: prevalence, numerical estimates, and projections.

Authors:  H King; R E Aubert; W H Herman
Journal:  Diabetes Care       Date:  1998-09       Impact factor: 19.112

9.  Type 1 diabetes in Yorkshire, UK: time trends in 0-14 and 15-29-year-olds, age at onset and age-period-cohort modelling.

Authors:  R G Feltbower; P A McKinney; R C Parslow; C R Stephenson; H J Bodansky
Journal:  Diabet Med       Date:  2003-06       Impact factor: 4.359

Review 10.  The emergence of type 2 diabetes in childhood.

Authors:  Sarah Ehtisham; Timothy G Barrett
Journal:  Ann Clin Biochem       Date:  2004-01       Impact factor: 2.057

View more
  23 in total

Review 1.  Early onset type 2 diabetes: risk factors, clinical impact and management.

Authors:  Emma Wilmot; Iskandar Idris
Journal:  Ther Adv Chronic Dis       Date:  2014-11       Impact factor: 5.091

Review 2.  Guts, germs, and meals: the origin of type 1 diabetes.

Authors:  H Beyan; L Wen; R D Leslie
Journal:  Curr Diab Rep       Date:  2012-10       Impact factor: 4.810

Review 3.  Diabetic aggravation of stroke and animal models.

Authors:  Ashish K Rehni; Allen Liu; Miguel A Perez-Pinzon; Kunjan R Dave
Journal:  Exp Neurol       Date:  2017-03-06       Impact factor: 5.330

4.  Registry of Youth Onset Diabetes in India (YDR): Rationale, Recruitment, and Current Status.

Authors:  Pradeep A Praveen; Sri Venkata Madhu; Viswanathan Mohan; Siddhartha Das; Sanjeeb Kakati; Nalini Shah; Manoj Chaddha; Sanjay Kumar Bhadada; Ashok Kumar Das; Deepak Kumar Shukla; Tanvir Kaur; Nikhil Tandon
Journal:  J Diabetes Sci Technol       Date:  2016-08-22

5.  The emerging global epidemic of type 1 diabetes.

Authors:  Jaakko Tuomilehto
Journal:  Curr Diab Rep       Date:  2013-12       Impact factor: 4.810

Review 6.  Revisiting the links between glycaemia, diabetes and cardiovascular disease.

Authors:  N Sattar
Journal:  Diabetologia       Date:  2013-01-27       Impact factor: 10.122

Review 7.  Advances in the Genetics of Youth-Onset Type 2 Diabetes.

Authors:  Jennifer N Todd; Shylaja Srinivasan; Toni I Pollin
Journal:  Curr Diab Rep       Date:  2018-06-22       Impact factor: 4.810

8.  Kidney disease and youth onset type 2 diabetes: considerations for the general practitioner.

Authors:  Allison B Dart; Elizabeth A Sellers; Heather J Dean
Journal:  Int J Pediatr       Date:  2012-01-18

9.  Comparison of the incidence of diabetes in United States and Indian youth: An international harmonization of youth diabetes registries.

Authors:  Elizabeth T Jensen; Dana A Dabelea; Pradeep A Praveen; Anandakumar Amutha; Christine W Hockett; Scott P Isom; Toan C Ong; Viswanathan Mohan; Ralph D'Agostino; Michael G Kahn; Richard F Hamman; Paul Wadwa; Lawrence Dolan; Jean M Lawrence; S V Madhu; Reshmi Chhokar; Komal Goel; Nikhil Tandon; Elizabeth Mayer-Davis
Journal:  Pediatr Diabetes       Date:  2020-04-06       Impact factor: 3.409

10.  Clinical and subclinical macrovascular disease as predictors of cognitive decline in older patients with type 2 diabetes: the Edinburgh Type 2 Diabetes Study.

Authors:  Insa Feinkohl; Marketa Keller; Christine M Robertson; Joanne R Morling; Rachel M Williamson; Lisa D Nee; Stela McLachlan; Naveed Sattar; Paul Welsh; Rebecca M Reynolds; Tom C Russ; Ian J Deary; Mark W J Strachan; Jackie F Price
Journal:  Diabetes Care       Date:  2013-04-11       Impact factor: 19.112

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.