<HashMap><database>biostudies-literature</database><scores><citationCount>0</citationCount><reanalysisCount>0</reanalysisCount><viewCount>47</viewCount><searchCount>0</searchCount></scores><additional><submitter>Rafferty J</submitter><funding>Medical Research Council</funding><pagination>1387</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8103995</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>6(1)</volume><pubmed_abstract>&lt;h4>Introduction&lt;/h4>Studies of prevalence and the demographic profile of type 1 diabetes are challenging because of the relative rarity of the condition, however, these outcomes can be determined using routine healthcare data repositories. Understanding the epidemiology of type 1 diabetes allows for targeted interventions and care of this life-affecting condition.&lt;h4>Objectives&lt;/h4>To describe the prevalence, incidence and demographics of persons with type 1 diabetes diagnosed in Wales, UK, using the Secure Anonymised Information Linkage (SAIL) Databank.&lt;h4>Methods&lt;/h4>Data derived from primary and secondary care throughout Wales available in the SAIL Databank were used to identify people with type 1 diabetes to determine the prevalence and incidence of type 1 diabetes over a 10 year period (2008-18) and describe the demographic and clinical characteristics of this population by age, socioeconomic deprivation and settlement type. The seasonal variation in incidence rates was also examined.&lt;h4>Results&lt;/h4>The prevalence of type 1 diabetes in 2018 was 0.32% in the whole population, being greater in men compared to women (0.35% vs 0.28% respectively); highest in those aged 15-29 years (0.52%) and living in the most socioeconomically deprived areas (0.38%). The incidence of type 1 diabetes over 10 years was 14.0 cases/100,000 people/year for the whole population of Wales. It was highest in children aged 0-14 years (33.6 cases/100,000 people/year) and areas of high socioeconomic deprivation (16.8 cases/100,000 people/year) and least in those aged 45-60 years (6.5 cases/100,000 people/year) and in areas of low socioeconomic deprivation (11.63 cases/100,000 people/year). A seasonal trend in the diagnoses of type 1 diabetes was observed with higher incidence in winter months.&lt;h4>Conclusion&lt;/h4>This nation-wide retrospective epidemiological study using routine data revealed that the incidence of type 1 diabetes in Wales was greatest in those aged 0-14 years with a higher incidence and prevalence in the most deprived areas. These findings illustrate the need for health-related policies targeted at high deprivation areas to include type 1 diabetes in their remit.</pubmed_abstract><journal>International journal of population data science</journal><pubmed_title>A retrospective epidemiological study of type 1 diabetes mellitus in wales, UK between 2008 and 2018.</pubmed_title><pmcid>PMC8103995</pmcid><funding_grant_id>HDR-9006</funding_grant_id><pubmed_authors>Owens DR</pubmed_authors><pubmed_authors>Rafferty J</pubmed_authors><pubmed_authors>Atkinson MD</pubmed_authors><pubmed_authors>Luzio SD</pubmed_authors><pubmed_authors>Thomas RL</pubmed_authors><pubmed_authors>Stephens JW</pubmed_authors><pubmed_authors>Gregory JW</pubmed_authors><pubmed_authors>Akbari A</pubmed_authors><pubmed_authors>Bain S</pubmed_authors><view_count>47</view_count></additional><is_claimable>false</is_claimable><name>A retrospective epidemiological study of type 1 diabetes mellitus in wales, UK between 2008 and 2018.</name><description>&lt;h4>Introduction&lt;/h4>Studies of prevalence and the demographic profile of type 1 diabetes are challenging because of the relative rarity of the condition, however, these outcomes can be determined using routine healthcare data repositories. Understanding the epidemiology of type 1 diabetes allows for targeted interventions and care of this life-affecting condition.&lt;h4>Objectives&lt;/h4>To describe the prevalence, incidence and demographics of persons with type 1 diabetes diagnosed in Wales, UK, using the Secure Anonymised Information Linkage (SAIL) Databank.&lt;h4>Methods&lt;/h4>Data derived from primary and secondary care throughout Wales available in the SAIL Databank were used to identify people with type 1 diabetes to determine the prevalence and incidence of type 1 diabetes over a 10 year period (2008-18) and describe the demographic and clinical characteristics of this population by age, socioeconomic deprivation and settlement type. The seasonal variation in incidence rates was also examined.&lt;h4>Results&lt;/h4>The prevalence of type 1 diabetes in 2018 was 0.32% in the whole population, being greater in men compared to women (0.35% vs 0.28% respectively); highest in those aged 15-29 years (0.52%) and living in the most socioeconomically deprived areas (0.38%). The incidence of type 1 diabetes over 10 years was 14.0 cases/100,000 people/year for the whole population of Wales. It was highest in children aged 0-14 years (33.6 cases/100,000 people/year) and areas of high socioeconomic deprivation (16.8 cases/100,000 people/year) and least in those aged 45-60 years (6.5 cases/100,000 people/year) and in areas of low socioeconomic deprivation (11.63 cases/100,000 people/year). A seasonal trend in the diagnoses of type 1 diabetes was observed with higher incidence in winter months.&lt;h4>Conclusion&lt;/h4>This nation-wide retrospective epidemiological study using routine data revealed that the incidence of type 1 diabetes in Wales was greatest in those aged 0-14 years with a higher incidence and prevalence in the most deprived areas. These findings illustrate the need for health-related policies targeted at high deprivation areas to include type 1 diabetes in their remit.</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Apr</publication><modification>2024-02-15T08:01:59.659Z</modification><creation>2022-02-10T10:41:55.792Z</creation></dates><accession>S-EPMC8103995</accession><cross_references><pubmed>34007896</pubmed><doi>10.23889/ijpds.v6i1.1387</doi></cross_references></HashMap>