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Hormazábal-Aguayo I, Ezzatvar Y, Huerta-Uribe N, Ramírez-Vélez R, Izquierdo M, García-Hermoso A. Incidence of type 1 diabetes mellitus in children and adolescents under 20 years of age across 55 countries from 2000 to 2022: A systematic review with meta-analysis. Diabetes Metab Res Rev 2024; 40:e3749. [PMID: 38037806 DOI: 10.1002/dmrr.3749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 10/03/2023] [Accepted: 11/11/2023] [Indexed: 12/01/2023]
Abstract
AIMS The aim of this study was to determine the global incidence of type 1 diabetes mellitus (T1DM) in children and adolescents under 20 years of age from 2000 to 2022. MATERIALS AND METHODS Two reviewers searched three electronic databases (PubMed, Web of Science, and CINAHL) for studies published between January 2000 and November 2022. Pooled estimates of T1DM incidence with a 95% confidence interval (CI) per 100,000 person-years were calculated by country/region, sex, age, and COVID-19 pandemic period (pre-COVID-19 and pandemic). RESULTS The study included 126 studies from 55 countries and 18 regions. The incidence rate (IR) of T1DM from 2000 to 2022 was 14.07 (95%CI, 12.15-16.29) per 100,000 person-years. Finland and high-income North America had the highest IR, with 56.81 (95%CI, 55.91-57.73) and 28.77 (95%CI, 26.59-31.13) per 100,000 person-years, respectively. The IR was 13.37 (95%CI, 10.60-16.88) per 100,000 person-years in boys and 13.87 (95%CI, 11.51-16.70) per 100,000 person-years in girls. There were statistically significant differences among different age ranges: 0-4 versus 5-9 and 10-14 years old (p < 0.001); 5-9 versus 15-19 (p < 0.001) and 10-14 versus 15-19 years old (p = 0.003). Finally, during the pandemic period (2020-2022), the IR was 24.84 (95%CI, 17.16-35.96) per 100,000 person-years, which was higher but not significant compared with the prepandemic period (2017-2019) of 13.56 (95%CI, 7.49-24.56) per 100,000 person-years (p = 0.090). CONCLUSIONS The IR of T1DM in children and adolescents under 20 years of age is substantial, especially during the pandemic period, although it varies across regions. More reliable data from additional countries are needed to determine the worldwide incidence of T1DM.
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Affiliation(s)
- Ignacio Hormazábal-Aguayo
- Navarrabiomed, Complejo Hospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA), Pamplona, Spain
| | - Yasmin Ezzatvar
- Department of Nursing, Universitat de València, Valencia, Spain
| | - Nidia Huerta-Uribe
- Navarrabiomed, Complejo Hospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA), Pamplona, Spain
| | - Robinson Ramírez-Vélez
- Navarrabiomed, Complejo Hospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA), Pamplona, Spain
| | - Mikel Izquierdo
- Navarrabiomed, Complejo Hospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA), Pamplona, Spain
| | - Antonio García-Hermoso
- Navarrabiomed, Complejo Hospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA), Pamplona, Spain
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Burnside M, Haitana T, Crocket H, Lewis D, Meier R, Sanders O, Jefferies C, Faherty A, Paul R, Lever C, Price S, Frewen C, Jones S, Gunn T, Wheeler BJ, Pitama S, de Bock M, Lacey C. Interviews with Indigenous Māori with type 1 diabetes using open-source automated insulin delivery in the CREATE randomised trial. J Diabetes Metab Disord 2023. [PMCID: PMC10035484 DOI: 10.1007/s40200-023-01215-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/25/2023]
Abstract
Purpose Open-source automated insulin delivery (AID) is used by thousands of people with type 1 diabetes (T1D), but has unknown generalisability to marginalised ethnic groups. This study explored experiences of Indigenous Māori participants in the CREATE trial with use of an open-source AID system to identify enablers/barriers to health equity. Methods The CREATE randomised trial compared open-source AID (OpenAPS algorithm on an Android phone with a Bluetooth-connected pump) to sensor-augmented pump therapy. Kaupapa Māori Research methodology was used in this sub-study. Ten semi-structured interviews with Māori participants (5 children, 5 adults) and whānau (extended family) were completed. Interviews were recorded and transcribed, and data were analysed thematically. NVivo was used for descriptive and pattern coding. Results Enablers/barriers to equity aligned with four themes: access (to diabetes technologies), training/support, operation (of open-source AID), and outcomes. Participants described a sense of empowerment, and improved quality of life, wellbeing, and glycaemia. Parents felt reassured by the system’s ability to control glucose, and children were granted greater independence. Participants were able to use the open-source AID system with ease to suit whānau needs, and technical problems were manageable with healthcare professional support. All participants identified structures in the health system precluding equitable utilisation of diabetes technologies for Māori. Conclusion Māori experienced open-source AID positively, and aspired to use this therapy; however, structural and socio-economic barriers to equity were identified. This research proposes strength-based solutions which should be considered in the redesign of diabetes services to improve health outcomes for Māori with T1D. Trial Registration: The CREATE trial, encompassing this qualitative sub-study, was registered with the Australian New Zealand Clinical Trials Registry (ACTRN12620000034932p) on the 20th January 2020. Supplementary Information The online version contains supplementary material available at 10.1007/s40200-023-01215-3.
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Affiliation(s)
- Mercedes Burnside
- grid.29980.3a0000 0004 1936 7830Department of Paediatrics, University of Otago, Christchurch, New Zealand
| | - Tracy Haitana
- grid.29980.3a0000 0004 1936 7830Department of Māori Indigenous Health Innovation (MIHI), University of Otago, Christchurch, New Zealand
| | - Hamish Crocket
- grid.49481.300000 0004 0408 3579Te Huataki Waiora School of Health, University of Waikato, Hamilton, New Zealand
| | | | - Renee Meier
- grid.29980.3a0000 0004 1936 7830Department of Paediatrics, University of Otago, Christchurch, New Zealand
| | - Olivia Sanders
- grid.29980.3a0000 0004 1936 7830Department of Paediatrics, University of Otago, Christchurch, New Zealand
| | - Craig Jefferies
- grid.414054.00000 0000 9567 6206Department of Paediatric Endocrinology, Starship Children’s Health, Te Whatu Ora Te Toka Tumai, Auckland, New Zealand
- grid.9654.e0000 0004 0372 3343Liggins Institute and Department of Paediatrics, University of Auckland, Auckland, New Zealand
| | - Ann Faherty
- grid.414054.00000 0000 9567 6206Department of Paediatric Endocrinology, Starship Children’s Health, Te Whatu Ora Te Toka Tumai, Auckland, New Zealand
| | - Ryan Paul
- grid.49481.300000 0004 0408 3579Te Huataki Waiora School of Health, University of Waikato, Hamilton, New Zealand
- Waikato Regional Diabetes Service, Te Whatu Ora Health New Zealand Waikato, Hamilton, New Zealand
| | - Claire Lever
- Waikato Regional Diabetes Service, Te Whatu Ora Health New Zealand Waikato, Hamilton, New Zealand
| | - Sarah Price
- Waikato Regional Diabetes Service, Te Whatu Ora Health New Zealand Waikato, Hamilton, New Zealand
| | - Carla Frewen
- grid.29980.3a0000 0004 1936 7830Department of Women’s and Children’s Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - Shirley Jones
- grid.29980.3a0000 0004 1936 7830Department of Women’s and Children’s Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - Tim Gunn
- Nightscout New Zealand, Hamilton, New Zealand
| | - Benjamin J. Wheeler
- grid.29980.3a0000 0004 1936 7830Department of Women’s and Children’s Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - Suzanne Pitama
- grid.29980.3a0000 0004 1936 7830Department of Māori Indigenous Health Innovation (MIHI), University of Otago, Christchurch, New Zealand
| | - Martin de Bock
- grid.29980.3a0000 0004 1936 7830Department of Paediatrics, University of Otago, Christchurch, New Zealand
| | - Cameron Lacey
- grid.29980.3a0000 0004 1936 7830Department of Māori Indigenous Health Innovation (MIHI), University of Otago, Christchurch, New Zealand
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Wu R, Burnside M, Davies H, Jefferies C, Wheeler B, Paul R, Wiltshire E, de Bock M, Williman J. Prevalence and incidence of type 1 diabetes in children aged 0-14 years old in New Zealand in 2021. J Paediatr Child Health 2023; 59:519-525. [PMID: 36708362 DOI: 10.1111/jpc.16342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 01/09/2023] [Accepted: 01/17/2023] [Indexed: 01/29/2023]
Abstract
AIM National prevalence and incidence data are important for understanding population trends and allocating health-care resources. We aimed to provide a current national snapshot of prevalence and annual incidence rates for children aged 0-14 with type 1 diabetes (T1D) in Aotearoa New Zealand and to identify differences associated with demographic variables. METHODS Paediatric diabetes centres across Aotearoa were invited to record anonymised demographic and diabetes data on children under their services between 1 October 2020 and 30 September 2021. National prevalence and incidence were calculated using usually resident population counts from the 2018 census. The effect of ethnicity on prevalence and incidence was assessed using Poisson regression. RESULTS There were 1209 children aged 0-14 with T1D in October 2021. The national prevalence was 131/100 000 (95% confidence interval (CI) 124-139). European children had twice the prevalence as those of Māori or Pacific ethnicity (P < 0.001). There was no effect by gender (P = 0.3) and prevalence predictably increased with age. The annualised incidence of T1D was 23/100 000 (95% CI 20-26). European children were 2.6 times as likely as Māori children to be diagnosed with T1D in that year (incidence rate ratio = 2.6, 95% CI 1.7-4.2). Regional differences in prevalence and incidence were noted, potentially due to the ethnicity differences across regions. Unadjusted prevalence and incidence decreased with lower socio-economic status, likely due to an over-representation of non-Europeans living in the most deprived areas. CONCLUSIONS T1D affects an ethnically diverse population in Aotearoa and important regional differences exist that may impact workforce planning.
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Affiliation(s)
- Rachel Wu
- Department of Paediatrics, University of Otago, Christchurch, New Zealand
| | - Mercedes Burnside
- Department of Paediatrics, University of Otago, Christchurch, New Zealand
| | - Hannah Davies
- Department of Paediatrics, University of Otago, Christchurch, New Zealand
| | - Craig Jefferies
- New Zealand Starship Children's Health, Te Whatu Ora Health New Zealand - Te Toka Tumai, Auckland, New Zealand.,Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Benjamin Wheeler
- Department of Pediatrics, Te Whatu Ora Health New Zealand - Southern, Dunedin, New Zealand.,Department of Women's and Children's Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - Ryan Paul
- Waikato Regional Diabetes Service, Te Whatu Ora Health New Zealand - Waikato, Hamilton, New Zealand.,Te Huataki Waiora School of Health, University of Waikato, Hamilton, New Zealand
| | - Esko Wiltshire
- Department of Paediatrics, Te Whatu Ora Health New Zealand - Capital, Coast and Hutt Valley, Wellington, New Zealand.,Department of Paediatrics, University of Otago Wellington, Wellington, New Zealand
| | - Martin de Bock
- Department of Paediatrics, University of Otago, Christchurch, New Zealand.,Department of Paediatrics, Te Whatu Ora Health New Zealand - Waitaha Canterbury, Christchurch, New Zealand
| | - Jonathan Williman
- Biostatistics and Computation Biology Unit, University of Otago, Christchurch, New Zealand
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Libman I, Haynes A, Lyons S, Pradeep P, Rwagasor E, Tung JYL, Jefferies CA, Oram RA, Dabelea D, Craig ME. ISPAD Clinical Practice Consensus Guidelines 2022: Definition, epidemiology, and classification of diabetes in children and adolescents. Pediatr Diabetes 2022; 23:1160-1174. [PMID: 36537527 DOI: 10.1111/pedi.13454] [Citation(s) in RCA: 98] [Impact Index Per Article: 32.7] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/09/2022] [Indexed: 12/24/2022] Open
Affiliation(s)
- Ingrid Libman
- Division of Pediatric Endocrinology, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Aveni Haynes
- Children's Diabetes Centre, Telethon Kids Institute, Perth, Western Australia, Australia
| | - Sarah Lyons
- Pediatric Diabetes and Endocrinology, Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA
| | - Praveen Pradeep
- Department of Endocrinology, All India Institute of Medical Sciences, New Delhi, India
| | - Edson Rwagasor
- Rwanda Biomedical Center, Rwanda Ministry of Health, Kigali, Rwanda
| | - Joanna Yuet-Ling Tung
- Department of Paediatrics and Adolescent Medicine, Hong Kong Children's Hospital, Hong Kong, Hong Kong
| | - Craig A Jefferies
- Starship Children's Health, Te Whatu Ora Health New Zealand, Auckland, New Zealand
| | - Richard A Oram
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Dana Dabelea
- Department of Epidemiology, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Maria E Craig
- The Children's Hospital at Westmead, Sydney, New South Wales (NSW), Australia.,University of Sydney Children's Hospital Westmead Clinical School, Sydney, NEW, Australia.,Discipline of Paediatrics & Child Health, School of Clinical Medicine, University of NSW Medicine & Health, Sydney, NSW, Australia
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Willis J, Cunningham-Tisdall C, Griffin C, Scott R, Darlow BA, Owens N, Ferguson J, Mackenzie K, Williman J, de Bock M. Type 1 diabetes diagnosed before age 15 years in Canterbury, New Zealand: A 50 year record of increasing incidence. Pediatr Diabetes 2022; 23:301-309. [PMID: 34954856 DOI: 10.1111/pedi.13305] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 11/05/2021] [Accepted: 12/12/2021] [Indexed: 11/30/2022] Open
Abstract
OBJECTIVE To describe the epidemiology of pediatric type 1 diabetes over 50 years in Canterbury, New Zealand. Further, to explore variation in case presentation according to age, gender, ethnicity, urban/rural character, socio-economic deprivation and immunogenetic features. RESEARCH DESIGN AND METHODS Prospective ascertainment of cases commenced in 1982, and incident cases presenting 1970-1982 were ascertained retrospectively from clinical records. Eligibility criteria included diagnosis of type 1 diabetes by a physician and commencement of insulin therapy at diagnosis and age less than 15 years. Data collection included name, hospital number, date of birth, date of diagnosis, and date of initiation of insulin treatment. Full address at diagnosis was assigned an urban-rural classification, and a deprivation score. HLA-DQ susceptibility alleles and diabetes associated autoantibodies were determined. RESULTS The incidence of type 1 diabetes increased more than 5-fold (3.9% per annum) over 50 years for the entire cohort. The mean for 5-year periods, starting from 1970, increased from 5.3 to 29.0 cases per 100,000 person years. Incidence was greatest in the 10-14 year age group. The cohort is predominantly European (89.4%), but there has been an increase in cases identifying as New Zealand Māori in the last three decades. Weak evidence was found for reduced incidence of type 1 diabetes in rural regions (adjusted IRR = 0.70, 95%CI 0.52 to 0.91, p = 0.011). CONCLUSIONS The incidence of type 1 diabetes in children aged less than 15 years continues to increase with time. Incidence was significantly affected by age, ethnicity, and urban/rural characterization of address at diagnosis.
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Affiliation(s)
- Jinny Willis
- Department of Medicine, University of Otago, Christchurch, New Zealand.,New Zealand Nurses Organisation, Christchurch, New Zealand
| | | | - Caroline Griffin
- Department of Paediatrics, University of Otago, Christchurch, New Zealand
| | - Russell Scott
- Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Brian A Darlow
- Department of Paediatrics, University of Otago, Christchurch, New Zealand
| | - Neil Owens
- Paediatric Diabetes Services, Canterbury District Health Board, Christchurch, New Zealand
| | - Janet Ferguson
- Paediatric Diabetes Services, Canterbury District Health Board, Christchurch, New Zealand
| | - Karen Mackenzie
- Paediatric Diabetes Services, Canterbury District Health Board, Christchurch, New Zealand
| | - Jonathan Williman
- Department of Paediatrics, University of Otago, Christchurch, New Zealand
| | - Martin de Bock
- Department of Paediatrics, University of Otago, Christchurch, New Zealand.,Paediatric Diabetes Services, Canterbury District Health Board, Christchurch, New Zealand
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