| 1. |
- Prigge, R., et al.
(författare)
-
International comparison of glycaemic control in people with type 1 diabetes: an update and extension
- 2022
-
Ingår i: Diabetic Medicine. - : Wiley. - 0742-3071 .- 1464-5491. ; 39:5
-
Tidskriftsartikel (refereegranskat)abstract
- Aims: To update and extend a previous cross-sectional international comparison of glycaemic control in people with type 1 diabetes. Methods: Data were obtained for 520,392 children and adults with type 1 diabetes from 17 population and five clinic-based data sources in countries or regions between 2016 and 2020. Median HbA1c(IQR) and proportions of individuals with HbA1c < 58mmol/mol (<7.5%), 58–74mmol/mol (7.5–8.9%) and ≥75mmol/mol (≥9.0%) were compared between populations for individuals aged <15, 15–24 and ≥25 years. Logistic regression was used to estimate the odds ratio (OR) of HbA1c < 58mmol/mol (<7.5%) relative to ≥58mmol/mol (≥7.5%), stratified and adjusted for sex, age and data source. Where possible, changes in the proportion of individuals in each HbA1c category compared to previous estimates were calculated. Results: Median HbA1c varied from 55 to 79mmol/mol (7.2 to 9.4%) across data sources and age groups so a pooled estimate was deemed inappropriate. OR (95% CI) for HbA1c< 58mmol/mol (<7.5%) were 0.91 (0.90–0.92) for women compared to men, 1.68 (1.65–1.71) for people aged <15years and 0.81 (0.79–0.82) aged15–24years compared to those aged ≥25years. Differences between populations persisted after adjusting for sex, age and data source. In general, compared to our previous analysis, the proportion of people with an HbA1c<58mmol/l (<7.5%) increased and proportions of people with HbA1c≥ 75mmol/mol (≥9.0%) decreased. Conclusions: Glycaemic control of type 1 diabetes continues to vary substantially between age groups and data sources. While some improvement over time has been observed, glycaemic control remains sub-optimal for most people with Type 1 diabetes.
|
|
| 2. |
- Cameron, F. J., et al.
(författare)
-
Are family factors universally related to metabolic outcomes in adolescents with Type 1 diabetes?
- 2008
-
Ingår i: Diabetic Medicine. - : Wiley-Blackwell Publishing Inc.. - 0742-3071 .- 1464-5491. ; 25:4, s. 463-468
-
Tidskriftsartikel (refereegranskat)abstract
- AIMS: To assess the importance of family factors in determining metabolic outcomes in adolescents with Type 1 diabetes in 19 countries.METHODS: Adolescents with Type 1 diabetes aged 11-18 years, from 21 paediatric diabetes care centres, in 19 countries, and their parents were invited to participate. Questionnaires were administered recording demographic data, details of insulin regimens, severe hypoglycaemic events and number of episodes of diabetic ketoacidosis. Adolescents completed the parental involvement scale from the Diabetes Quality of Life for Youth--Short Form (DQOLY-SF) and the Diabetes Family Responsibility Questionnaire (DFRQ). Parents completed the DFRQ and a Parental Burden of Diabetes score. Glycated haemoglobin (HbA(1c)) was analysed centrally on capillary blood.RESULTS: A total of 2062 adolescents completed a questionnaire, with 2036 providing a blood sample; 1994 parents also completed a questionnaire. Family demographic factors that were associated with metabolic outcomes included: parents living together (t = 4.1; P < 0.001), paternal employment status (F = 7.2; d.f. = 3; P < 0.001), parents perceived to be over-involved in diabetes care (r = 0.11; P < 0.001) and adolescent-parent disagreement on responsibility for diabetes care practices (F = 8.46; d.f. = 2; P < 0.001). Although these factors differed between centres, they did not account for centre differences in metabolic outcomes, but were stronger predictors of metabolic control than age, gender or insulin treatment regimen.CONCLUSIONS: Family factors, particularly dynamic and communication factors such as parental over-involvement and adolescent-parent concordance on responsibility for diabetes care appear be important determinants of metabolic outcomes in adolescents with diabetes. However, family dynamic factors do not account for the substantial differences in metabolic outcomes between centres
|
|
| 3. |
|
|
| 4. |
|
|
| 5. |
- McKnight, J. A., et al.
(författare)
-
Glycaemic control of Type1 diabetes in clinical practice early in the 21st century: an international comparison
- 2015
-
Ingår i: Diabetic Medicine. - : Wiley. - 0742-3071. ; 32:8, s. 1036-1050
-
Tidskriftsartikel (refereegranskat)abstract
- AimsImproving glycaemic control in people with Type1 diabetes is known to reduce complications. Our aim was to compare glycaemic control among people with Type1 diabetes using data gathered in regional or national registries. MethodsData were obtained for children and/or adults with Type1 diabetes from the following countries (or regions): Western Australia, Austria, Denmark, England, Champagne-Ardenne (France), Germany, Epirus, Thessaly and Thessaloniki (Greece), Galway (Ireland), several Italian regions, Latvia, Rotterdam (The Netherlands), Otago (New Zealand), Norway, Northern Ireland, Scotland, Sweden, Volyn (Ukraine), USA and Wales) from population or clinic-based registries. The sample size with available data varied from 355 to 173880. Proportions with HbA(1c) <58mmol/mol (<7.5%) and 75mmol/mol (9.0%) were compared by age and sex. ResultsData were available for 324501 people. The proportions with HbA(1c) 58mmol/mol (<7.5%) varied from 15.7% to 46.4% among 44058 people aged <15years, from 8.9% to 49.5% among 50766 people aged 15-24years and from 20.5% to 53.6% among 229677 people aged 25years. Sex differences in glycaemic control were small. Proportions of people using insulin pumps varied between the 12 sources with data available. ConclusionThese results suggest that there are substantial variations in glycaemic control among people with Type1 diabetes between the data sources and that there is room for improvement in all populations, especially in young adults. We present HbA(1c) data from registries in 19 different countries describing control in 324501 people with Type1 diabetes, across all age groups. These data are the best representation of diabetes care available and therefore describe the state of the art'. We show clearly that Type1 diabetes control is not as good as suggested in guidelines, but that some healthcare systems appear to result in better control than others. These data present a challenge to diabetes services. Leaders in diabetes units/service can compare their local data to our data and encourage improvement.
|
|
| 6. |
|
|
| 7. |
- Åman, Jan, et al.
(författare)
-
Associations between physical activity, sedentary behavior, and glycemic control in a large cohort of adolescents with type 1 diabetes : the Hvidoere Study Group on Childhood Diabetes
- 2009
-
Ingår i: Pediatric Diabetes. - : Hindawi Limited. - 1399-543X .- 1399-5448. ; 10:4, s. 234-239
-
Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: The Hvidoere Study Group on Childhood Diabetes has demonstrated persistent differences in metabolic outcomes between pediatric diabetes centers. These differences cannot be accounted for by differences in demographic, medical, or treatment variables. Therefore, we sought to explore whether differences in physical activity or sedentary behavior could explain the variation in metabolic outcomes between centers. METHODS: An observational cross-sectional international study in 21 centers, with demographic and clinical data obtained by questionnaire from participants. Hemoglobin A1c (HbA1c) levels were assayed in one central laboratory. All individuals with diabetes aged 11-18 yr (49.4% female), with duration of diabetes of at least 1 yr, were invited to participate. Individuals completed a self-reported measure of quality of life (Diabetes Quality of Life - Short Form [DQOL-SF]), with well-being and leisure time activity assessed using measures developed by Health Behaviour in School Children WHO Project. RESULTS: Older participants (p < 0.001) and females (p < 0.001) reported less physical activity. Physical activity was associated with positive health perception (p < 0.001) but not with glycemic control, body mass index, frequency of hypoglycemia, or diabetic ketoacidosis. The more time spent on the computer (r = 0.06; p < 0.05) and less time spent doing school homework (r = -0.09; p < 0.001) were associated with higher HbA1c. Between centers, there were significant differences in reported physical activity (p < 0.001) and sedentary behavior (p < 0.001), but these differences did not account for center differences in metabolic control. CONCLUSIONS: Physical activity is strongly associated with psychological well-being but has weak associations with metabolic control. Leisure time activity is associated with individual differences in HbA1c but not with intercenter differences.
|
|
