Objective:The burdens imposed on a child and his/her parents by a diagnosis of type 1 diabetes mellitus (T1DM) adversely affect their health-related quality of life (HRQoL). HRQoL is important for prognosis and is related to metabolic control. To evaluate the HRQoL of Turkish children and adolescents with T1DM and to assess the correlation of HRQoL subscales (including physical and psychosocial health) with metabolic control, and particularly with hypo- and hyperglycaemic episodes.Methods:This cross-sectional study included 70 participants with T1DM aged between 8 and 18 years (study group) and 72 healthy controls who were matched to the study group in terms of age, gender, and sociodemographic characteristics (control group), and their parents. HRQoL was determined by the Pediatric Quality of Life Inventory. As an indicator of metabolic control, the most recent hemoglobin A1c (HbA1c) levels were obtained and the number of hypo- and hyperglycaemic episodes over the past one month were checked.Results:The study group had similar HRQoL scores for children’s self-reports and parents’ proxy-reports to the control group apart from a decreasing psychosocial health score for parents’ proxy-reports in the study group. Although HbA1c level was not related to HRQoL scores, lower number of hypo- and hyperglycaemic episodes were associated with an increase in psychosocial health scores and physical health scores as well as an increase in the total score for parents’ proxy-reports.Conclusion:Although there was no correlation between metabolic control and HRQoL in children’s self-reports, the improving HRQoL levels in parents’ proxy-reports were associated with good metabolic control.

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The food insulin index (II) is a novel classification to rank foods based on their physiological insulin demand relative to an isoenergetic reference food and may be a valid predictor of postprandial insulin responses and appetite. The present study aimed to compare the postprandial metabolic responses and appetite sensations to two macronutrient- and glycaemic index-matched meals with either high or low II in obese adolescents with insulin resistance (IR). A randomised, single-blind and cross-over trial included fifteen obese adolescents aged 12–18 years with IR. All participants were provided with two different breakfasts: low glycaemic index, low insulin index (LGI-LII) and low glycaemic index, high insulin index (LGI-HII), with a 1-week washout period between meals. At time 0 (just before breakfast), 15, 30, 45, 60, 90, 120, 180 and 240 min after the meal, serum glucose, insulin and C-peptide levels and appetite scores were measured. At the end of 4 h, participants were served ad libitum lunch. Early (0–30 min), late (45–240 min) and total (0–240 min) postprandial insulin responses were lowered by 56·1, 34·6 and 35·6 % after the LGI-LII meal v. LGI-HII meal (P < 0·05). The feeling of hunger was also decreased by 25·8 and 27·5 % after the LGI-LII meal v. LGI-HII meal during the late and total responses (P < 0·05). The calculation II of meals or diets may be a useful dietary approach to reduce postprandial hyperinsulinaemia and the perceived hunger in obese adolescents with IR.

Aims Postprandial glycaemic variability carries on being a clinical challenge in optimizing glucose control in type 1 diabetes. The aim of this study was to compare the postprandial glycaemic effects of carbohydrate counting and food insulin index algorithms following the consumption of protein‐rich, high‐fat meals with different glycaemic index (GI) in adolescents with type 1 diabetes. Methods A randomized, single‐blind and crossover trial included 15 adolescents aged 14–18 years with type 1 diabetes. Participants consumed two different test meals with similar energy, macronutrients and food insulin index but the approximately twofold difference in GI, in random order on four consecutive mornings at their home. Insulin dose for high‐ and low‐GI test meals was determined by using the carbohydrate counting and food insulin index algorithms. Four‐hour postprandial glycaemia was assessed by the continuous glucose monitoring system. Results Compared with carbohydrate counting, the food insulin index algorithm significantly decreased peak glucose excursion (−57%, p = 0.02), incremental area under the curve (−65%, p = 0.02) and coefficient variation of blood glucose (−37%, p = 0.03) in the high‐GI meal, though there was no difference between the two algorithms in the low‐GI meal. The occurrence of hypoglycaemia did not significantly differ between insulin dosing algorithms for the high‐GI (p = 0.58) and low‐GI (p = 0.20) meals. Conclusions The food insulin index algorithm may be beneficial for postprandial glycaemic control after the consumption of high‐GI meals in adolescents with type 1 diabetes.

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