OBJECTIVE -It is unclear whether the demands of good metabolic control or the consequences of poor control have a greater influence on quality of life (QOL) for adolescents with diabetes. This study aimed to assess these relations in a large international cohort of adolescents with diabetes and their families.RESEARCH DESIGN AND METHODS -The study involved 2,101 adolescents, aged 10 -18 years, from 21 centers in 17 countries in Europe, Japan, and North America. Clinical and demographic data were collected from March through August 1998. HbA 1c was analyzed centrally (normal range 4.4 -6.3%; mean 5.4%). Adolescent QOL was assessed by a previously developed Diabetes Quality of Life (DQOL) questionnaire for adolescents, measuring the impact of diabetes, worries about diabetes, satisfaction with life, and health perception. Parents and health professionals assessed family burden using newly constructed questionnaires.RESULTS -Mean HbA 1c was 8.7% (range 4.8 -17.4). Lower HbA 1c was associated with lower impact (P Ͻ 0.0001), fewer worries (P Ͻ 0.05), greater satisfaction (P Ͻ 0.0001), and better health perception (P Ͻ 0.0001) for adolescents. Girls showed increased worries (P Ͻ 0.01), less satisfaction, and poorer health perception (P Ͻ 0.01) earlier than boys. Parent and health professional perceptions of burden decreased with age of adolescent (P Ͻ 0.0001).Patients from ethnic minorities had poorer scores for impact (P Ͻ 0.0001), worries (P Ͻ 0.05), and health perception (P Ͻ 0.01). There was no correlation between adolescent and parent or between adolescent and professional scores.CONCLUSIONS -In a multiple regression model, lower HbA 1c was significantly associated with better adolescent-rated QOL on all four subscales and with lower perceived family burden as assessed by parents and health professionals.
OBJECTIVE -To reevaluate the persistence and stability of previously observed differences between pediatric diabetes centers and to investigate the influence of demography, language communication problems, and changes in insulin regimens on metabolic outcome, hypoglycemia, and ketoacidosis. RESULTS -Mean A1C was 8.2 Ϯ 1.4%, with substantial variation between centers (mean A1C range 7.4 -9.2%; P Ͻ 0.001). There were no significant differences between centers in rates of severe hypoglycemia or diabetic ketoacidosis. Language difficulties had a significant negative impact on metabolic outcome (A1C 8.5 Ϯ 2.0% vs. 8.2 Ϯ 1.4% for those with language difficulties vs. those without, respectively; P Ͻ 0.05). After adjustement for significant confounders of age, sex, duration of diabetes, insulin regimen, insulin dose, BMI, and language difficulties, the center differences persisted, and the effect size for center was not reduced. Relative center ranking since 1998 has remained stable, with no significant change in A1C. RESEARCH DESIGN AND METHODSCONCLUSIONS -Despite many changes in diabetes management, major differences in metabolic outcome between 21 international pediatric diabetes centers persist. Different application between centers in the implementation of insulin treatment appears to be of more importance and needs further exploration.
OBJECTIVE -Twenty-one international pediatric diabetes centers from 17 countries investigated the effect of simple feedback about the grand mean HbA 1c level of all centers and the average value of each center on changes in metabolic control, rate of severe hypoglycemia, and insulin therapy over a 3-year period.RESEARCH DESIGN AND METHODS -Clinical data collection and determination of HbA 1c levels were conducted at a central location in 1995 (n ϭ 2,780, age 0 -18 years) and 1998 (n ϭ 2,101, age 11-18 years).RESULTS -Striking differences in average HbA 1c concentrations were found among centers; these differences remained after adjustment for the significant confounders of sex, age, and diabetes duration. They were apparent even in patients with short diabetes duration and remained stable 3 years later (mean adjusted HbA 1c level: 8.62 Ϯ 0.03 vs. 8.67 Ϯ 0.04 [1995 vs. 1998, respectively]). Three centers had improved significantly, four centers had deteriorated significantly in their overall adjusted HbA 1c levels, and 14 centers had not changed in glycemic control. During the observation period, there were increases in the adjusted insulin dose by 0.076 U/kg, the adjusted number of injections by 0.23 injections per day, and the adjusted BMI by 0.95 kg/m 2 . The 1995 versus 1998 difference in glycemic control for the seven centers could not be explained by prevailing insulin regimens or rates of hypoglycemia.CONCLUSIONS -This study reveals significant outcome differences among large international pediatric diabetes centers. Feedback and comparison of HbA 1c levels led to an intensification of insulin therapy in most centers, but improved glycemic control in only a few.
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.
Insulin regimens and metabolic control in children and adolescents with Type 1 diabetes mellitus were evaluated in a cross-sectional, non-population-based investigation, involving 22 paediatric departments, from 18 countries in Europe, Japan, and North America. Blood samples and information were collected from 2873 children from March to August 1995. HbA1c was determined once and analysed centrally (normal range 4.4-6.3%, mean 5.4%). Year of birth, sex, duration of diabetes, height, body weight, number of daily insulin injections, types and doses of insulin were recorded. Average HbA1c in children under 11 years was 8.3 +/- 1.3% (mean +/- SD) compared with 8.9 +/- 1.8% in those aged 12-18 years. The average insulin dose per kg body weight was almost constant (0.65 U kg(-1) 24 h(-1)) in children aged 2-9 years for both sexes, but there was a sharp increase during the pubertal years, particularly in girls. The increase in BMI of children with diabetes was much faster during adolescence compared to healthy children, especially in females. Sixty per cent of the children (n = 1707) used two daily insulin injections while 37% (n = 1071) used three or more. Of those on two or three injections daily, 37% used pre-mixed insulins, either alone or in combination with short- and intermediate-acting insulin. Pre-adolescent children on pre-mixed insulin showed similar HbA1c levels to those on a combination of short- and long-acting insulins, whereas in adolescents significantly better HbA1c values were achieved with individual combinations. Very young children were treated with a higher proportion of long-acting insulin. Among adolescent boys, lower HbA1c was related to use of more short-acting insulin. This association was not found in girls. We conclude that numerous insulin injection regimens are currently used in paediatric diabetes centres around the world, with an increasing tendency towards intensive diabetes management, particularly in older adolescents. Nevertheless, the goal of near normoglycaemia is achieved in only a few.
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