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      Continuing rise of Type 2 diabetes incidence in children and young people in the UK

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          Abstract

          Aims

          To estimate the incidence of Type 2 diabetes in children aged <17 years, compare this with similar data 10 years ago, and characterize clinical features at diagnosis in the UK and Republic of Ireland.

          Methods

          Using the British Paediatric Surveillance Unit reporting framework, cases of Type 2 diabetes diagnosed in children aged <17 years between 1 April 2015 and 30 April 2016 were reported each month.

          Results

          A total of 106 cases were reported, giving a UK incidence of 0.72/100 000 (95% CI 0.58–0.88). Children from ethnic minorities had significantly higher incidence compared with white children (0.44/100 000) with rates of 2.92/100 000 and 1.67/100 000, in Asian and BACBB (black/African/Caribbean/black British) children respectively. Sixty‐seven percent were girls and 81% had a family history of Type 2 diabetes. The mean BMI sd score at diagnosis was 2.89 (2.88, girls; 2.92, boys); 81% were obese. Children of Asian ethnicity had a significantly lower BMI sd score compared with white children ( P<0.001). There was a trend in increased incidence from 2005 to 2015, with a rate ratio of 1.35 (95% CI 0.99–1.84), although this was not statistically significant ( P=0.062). There was statistical evidence of increased incidence among girls ( P=0.03) and children of South‐Asian ethnicity ( P=0.01) when comparing the 2005 and 2015 surveys.

          Conclusions

          Type 2 diabetes remains far less common than Type 1 diabetes in childhood in the UK, but the number of cases continues to rise, with significantly increased incidence among girls and South‐Asian children over a decade. Female gender, family history, non‐white ethnicity and obesity were found to be strongly associated with the condition.

          What's new?

          • The 2015/2016 UK incidence of Type 2 diabetes in children aged <17 years was 0.72 per 100 000 per year

          • The incidence of Type 2 diabetes amongst girls and South‐Asian children has risen significantly over the last decade.

          • Female gender, family history, non‐white ethnicity and obesity were strongly associated with Type 2 diabetes in childhood.

          • Comorbidities are commonly identified at diagnosis, including 37% with non‐alcoholic fatty liver disease and 21% with hypertension

          • The most common presenting complaint at diagnosis after osmotic symptoms (polyuria, polydipsia and weight loss) was recurrent, mainly genital, infections, although over a third of cases were asymptomatic and detected on obesity screening investigations

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          Most cited references17

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          A review of correlates of physical activity of children and adolescents.

          Understanding the factors that influence physical activity can aid the design of more effective interventions. Previous reviews of correlates of youth physical activity have produced conflicting results. A comprehensive review of correlates of physical activity was conducted, and semiquantitative results were summarized separately for children (ages 3-12) and adolescents (ages 13-18). The 108 studies evaluated 40 variables for children and 48 variables for adolescents. About 60% of all reported associations with physical activity were statistically significant. Variables that were consistently associated with children's physical activity were sex (male), parental overweight status, physical activity preferences, intention to be active, perceived barriers (inverse), previous physical activity, healthy diet, program/facility access, and time spent outdoors. Variables that were consistently associated with adolescents' physical activity were sex (male), ethnicity (white), age (inverse), perceived activity competence, intentions, depression (inverse), previous physical activity, community sports, sensation seeking, sedentary after school and on weekends (inverse), parent support, support from others, sibling physical activity, direct help from parents, and opportunities to exercise. These consistently related variables should be confirmed in prospective studies, and interventions to improve the modifiable variables should be developed and evaluated.
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            The clinical utility of C-peptide measurement in the care of patients with diabetes

            C-peptide is produced in equal amounts to insulin and is the best measure of endogenous insulin secretion in patients with diabetes. Measurement of insulin secretion using C-peptide can be helpful in clinical practice: differences in insulin secretion are fundamental to the different treatment requirements of Type 1 and Type 2 diabetes. This article reviews the use of C-peptide measurement in the clinical management of patients with diabetes, including the interpretation and choice of C-peptide test and its use to assist diabetes classification and choice of treatment. We provide recommendations for where C-peptide should be used, choice of test and interpretation of results. With the rising incidence of Type 2 diabetes in younger patients, the discovery of monogenic diabetes and development of new therapies aimed at preserving insulin secretion, the direct measurement of insulin secretion may be increasingly important. Advances in assays have made C-peptide measurement both more reliable and inexpensive. In addition, recent work has demonstrated that C-peptide is more stable in blood than previously suggested or can be reliably measured on a spot urine sample (urine C-peptide:creatinine ratio), facilitating measurement in routine clinical practice. The key current clinical role of C-peptide is to assist classification and management of insulin-treated patients. Utility is greatest after 3–5 years from diagnosis when persistence of substantial insulin secretion suggests Type 2 or monogenic diabetes. Absent C-peptide at any time confirms absolute insulin requirement and the appropriateness of Type 1 diabetes management strategies regardless of apparent aetiology.
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              A simple method to calculate the confidence interval of a standardized mortality ratio (SMR)

              K Ulm (1990)
              In analyzing standardized mortality ratios (SMRs), it is of interest to calculate a confidence interval for the true SMR. The exact limits of a specific interval can be obtained by means of the Poisson distribution either within an iterative procedure or by one of the tables. The limits can be approximated in using one of various shortcut methods. In this paper, a method is described for calculating the exact limits in a simple and easy way. The method is based on the link between the chi 2 distribution and the Poisson distribution. Only a table of the chi 2 distribution is necessary.

                Author and article information

                Contributors
                toby.candler@gmail.com
                Journal
                Diabet Med
                Diabet. Med
                10.1111/(ISSN)1464-5491
                DME
                Diabetic Medicine
                John Wiley and Sons Inc. (Hoboken )
                0742-3071
                1464-5491
                24 March 2018
                June 2018
                : 35
                : 6 , The Psychosocial Impact of Diabetes ( doiID: 10.1111/dme.2018.35.issue-6 )
                : 737-744
                Affiliations
                [ 1 ] NIHR Biomedical Research Centre: Nutrition Diet and Lifestyle Theme School of Oral and Dental Sciences Bristol UK
                [ 2 ] Population Health Sciences Bristol Medical School University of Bristol Bristol UK
                [ 3 ] Department of Applied Statistics Helwan University Helwan Egypt
                [ 4 ] British Paediatric Surveillance Unit Royal College of Paediatrics and Child Health London UK
                [ 5 ] Institute of Cancer and Genomic Sciences University of Birmingham Birmingham UK
                Author notes
                [*] [* ] Correspondence to: Toby Candler. E‐mail: toby.candler@ 123456gmail.com .
                Author information
                http://orcid.org/0000-0002-4587-8744
                Article
                DME13609
                10.1111/dme.13609
                5969249
                29460341
                75f91c8d-e64b-4adb-a852-20b8f9dd1573
                © 2018 The Authors. Diabetic Medicine published by John Wiley & Sons Ltd on behalf of Diabetes UK.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

                History
                : 16 February 2018
                Page count
                Figures: 2, Tables: 3, Pages: 8, Words: 6020
                Funding
                Funded by: National Institute for Health Research Translational Research Collaboration for Rare Diseases (NIHR RD‐TRC)
                Categories
                Research: Epidemiology
                Research Articles
                Epidemiology
                Custom metadata
                2.0
                dme13609
                June 2018
                Converter:WILEY_ML3GV2_TO_NLMPMC version:version=5.3.8.2 mode:remove_FC converted:25.05.2018

                Endocrinology & Diabetes
                Endocrinology & Diabetes

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