2021
DOI: 10.1016/j.pcd.2020.11.012
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Patterns in the prevalence of diabetes and incidence of diabetic complications in people with and without an intellectual disability in Dutch primary care: Insights from a population-based data-linkage study

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Cited by 13 publications
(9 citation statements)
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“…This method for identifying individuals with ID in population data has been described in more detail elsewhere 27 and has been applied to other studies related to health and ID before. 21 , 28 , 29 All individuals without ID characterization were analyzed as members of the general population.…”
Section: Methodsmentioning
confidence: 99%
“…This method for identifying individuals with ID in population data has been described in more detail elsewhere 27 and has been applied to other studies related to health and ID before. 21 , 28 , 29 All individuals without ID characterization were analyzed as members of the general population.…”
Section: Methodsmentioning
confidence: 99%
“…People with ID of any aetiology had a significantly elevated risk of 16 diseases. Diabetes (undefined or both type I and II), epilepsy and asthma were consistently reported to be more prevalent [ 10 , 53 , 68 , 95 , 118 ]. Epilepsy had the highest effect size, ranging from 23.73 to 31.03.…”
Section: Resultsmentioning
confidence: 99%
“…It is important to maximise the representativeness of future study populations. Linkage of multiple administrative and clinical datasets, including multiple levels of healthcare and disability services, may be one solution [ 148 ], as illustrated in recent high-quality studies [ 40 , 118 ]. Data linkage studies should also capture disability severity to enhance the clinical utility of their results.…”
Section: Discussionmentioning
confidence: 99%
“…Complications secondary to diabetes, especially cardiological complications, were noted to be less than the general population. 40 Hospitalisations secondary to diabetes-related complications were noted to be three times higher than the general population. 41 A large multi-ethnic cohort study (the STOP diabetes crosssectional screening study) detected 1.3 percent of persons with ID to have diabetic status and 5.2 percent to have impaired glucose tolerance.…”
Section: Diabetesmentioning
confidence: 98%