Disordered eating behaviors and associated factors in children and adolescents with type 1 diabetes.

OBJECT: As part of their treatment, patients with type 1 diabetes mellitus (DM) have to be very careful with what they eat and with their insulin doses. Therefore, the risk of eating disorders increases in this patient group. In this study, we aimed to determine the disordered eating behaviors of patients with type 1 DM and to evaluate the sociodemographic characteristics, diabetes care behaviors, and quality-of-life scale results that these behaviors may be related to. METHOD: The sociodemographic characteristics and diabetes treatment data of 191 patients aged 9-18 years with type 1 DM were analyzed. The Pediatric Quality of Life Inventory (PedsQL), the PedsQL 3.0 Diabetes Module, and the Diabetes Eating Problem Survey-Revised (DEPS-R) were applied. RESULTS: The median DEPS-R score of the patients was 18 (19.00), and 44.5 % had a DEPS-R score above 20. A significant correlation was found between age, duration of diabetes, frequency of blood glucose measurement, hemoglobin A1c (HbA1c) level, body mass index standard deviation score (BMI-SDS), and DEPS-R score. There was no significant difference between girls and boys. Patients with a high DEPS-R score had low scores on the PedsQL and on the PedsQL 3.0 Diabetes Module. CONCLUSION: The DEPS-R scale is a diabetes-specific, easy-to-use, and effective method for screening patients with type 1 DM for disordered eating behaviors. It can help prevent the progression of disordered eating behaviors to clinical eating disorders in patients with type 1 DM. It would be beneficial to use this scale as a routine screening, especially in clinics where access to a psychologist is not possible.

Sleep disturbances in children and adolescents with type 1 diabetes mellitus: Prevalence, and relationship with diabetes management.

OBJECTIVE: A decline in sleep quality and regularity has been reported in patients with type 1 diabetes mellitus (T1D) in many studies. However, research on medical-based sleep disorders in patients with T1D is limited. Diagnosing sleep disorders is crucial, as it negatively impacts academic performance, cardiovascular health, and cognitive functions among children as well as essential skills for effective diabetes management. Our objective was to assess sleep disturbances in patients diagnosed with T1D and explore whether these patients experience significantly more sleep disturbances compared to their healthy peers. METHODS: This study, designed as a cross-sectional case-control investigation, involved a cohort of 250 participants (144 T1D, 106 control cases) aged 6-15 years. The Sleep Disturbance Scale for Children (SDCS) scores of the T1D group were compared with those of the control group. Furthermore, the study explored the correlation between clinical/biochemical parameters and SDCS scores within the T1D group. RESULTS: The mean age of individuals in the T1D group was 10.27 ± 3.25 years, while the control group had a comparable mean age of 10.48 ± 3.5 years (P = 0.303). Within the T1D group, the median duration of diabetes was 5 (1-15) years, and the median glycosylated hemoglobin A1c (HbA1c) level for the past one year was 8.4 %. Although there was no significant difference in total SDSC scores between the T1D and control groups, both groups exhibited average scores that remained close to the threshold indicative of sleep disturbances (>39). Notably, individuals with total SDSC scores surpassing 39 were identified at rates of 48.6 % in the T1D group and 47.6 % in the control group, respectively. Furthermore, disorders of arousal nightmares (DA) were more prevalent in T1D patients compared to their healthy peers (P = 0.049). Additionally, HbA1c showed a positive correlation with scores for disorders of excessive somnolence (DOES) and total scores (P < 0.001, R = 0.368; P = 0.003, R = 0.243). CONCLUSION: Our study found that the prevalence of sleep disturbances among children and adolescents with T1D was not significantly higher than that observed in their healthy peers. Nevertheless, it is crucial to note that a notable portion, 48.6 % of T1D cases and 47.6 % of healthy cases, displayed sleep disturbances based on SDSC scores. To optimize diabetes management and proactively address potential challenges, incorporating routine screening for sleep disturbances in the monitoring of T1D patients can yield valuable benefits.

Evaluation of the growth response of children with growth hormone deficiency according to the peak growth hormone levels in provocation tests.

BACKGROUND: We aimed to evaluate the relation between the peak growth hormone (GH) levels in provocation tests and response to recombinant human GH (rhGH) therapy in patients with GH deficiency (GHD). METHODS: This was a cross-sectional, single-center, and retrospective study. A total of 135 patients under the age of 16 years who were diagnosed with GHD through insulin tolerance tests and L-DOPA stimulation tests and who received rhGH therapy for at least 2 years in the Pediatric Endocrinology Clinic of Akdeniz University Hospital between 1997 and 2021 were included in the study. RESULTS: The patients were divided into two groups: idiopathic GHD (group I, n = 119) and multiple pituitary hormone deficiencies or organic pathology on magnetic resonance imaging (group II, n = 16). The patients in group I were classified into three subgroups according to the peak GH values in the provocation tests (group Ia: peak GH <3 µg/L, n = 34; group Ib: peak GH between 3 and 7 µg/L, n = 71; group Ic: peak GH between 7 and 10 µg/L, n = 34). The median age was 11.5 years in group I (8.8 in group Ia, 12.1 in group Ib, 12.3 in group Ib) and 8.8 years in group II. The height standard deviation score (SDS) was -2.93 in group I (-2.85 in group Ia, -2.99 in group Ib, -2.94 in group Ic) and -3.79 in group II. The median Δheight SDS was 0.61 in group I and 1.05 in group II at the end of the first year of treatment and 0.31 in group I and 0.45 in group II at the end of the second year (p = 0.005 and p = 0.074, respectively). When the subgroups of group I were compared, height SDS, Δheight SDS, and height velocity (HV) SDS were all higher in group Ia at the end of the first year of rhGH therapy (p = 0.040, p = 0.029, and p = 0.005, respectively). The height SDS was still significantly higher in group Ia (p = 0.033) while the HV SDS and Δheight SDS were similar between the groups at the end of the second year of therapy (p = 0.164 and p = 0.522, respectively). There was a statistically significant association between the first-year HV SDS and the peak GH value in provocation tests in multiple regression analyses (p<0.001). In addition, the final model revealed that height SDS and weight SDS at the start of the treatment and the first-year HV SDS are the factors with a statistically significant effect on the second-year HV SDS (p = 0.022, p = 0.001, and p<0.001, respectively). CONCLUSION: Our findings show that the lower the GH peak in provocation tests, the better the response to treatment. The best HV was observed in the first year of rhGH therapy, and the diagnosis should be checked in those patients who had a low first-year HV and did not have a severely low GH peak in provocation tests.

Hyperandrogenism correlates with psychological symptoms in adolescents with polycystic ovary syndrome.

This study aimed to analyze the depressive and anxiety states of adolescent girls with polycystic ovary syndrome (PCOS). This was a cross-sectional, multicenter, case-control study. A total of 100 participants (PCOS group, 51; control group, 49) aged 13-18 yr were included in the study. Body mass index was higher in patients with PCOS (P = 0.002). In the PCOS group, 28.5% of the patients had moderate-to-severe depressive symptoms, whereas the incidence was lower in controls (8.3%, P = 0.021). The State-Trait Anxiety Inventory (STAI)-State, STAI-Trait, and physical, psychosocial, and total Pediatric Quality of Life Inventory PedsQL scores were higher in the PCOS group, suggesting that anxiety was more common and the quality of life was worse in patients with PCOS than in healthy participants (P = 0.01, P = 0.03, P = 0.02, P = 0.046, and P = 0.047, respectively). The serum free testosterone (fT) levels were positively correlated with the depression and anxiety scores and negatively correlated with the psychosocial PedsQL scores. In conclusion, adolescent girls diagnosed with PCOS demonstrated higher depressive and anxiety symptoms and lower psychosocial quality of life scores than their healthy counterparts. A relationship was found between the fT level and all psychological measures.

The Examination of the Relationship Between COVID-19 and New-Onset Type 1 Diabetes Mellitus in Children.

OBJECTIVE: This study aimed to evaluate presentations of new-onset type 1 diabetes mellitus in a pediatric cohort during the coronavirus disease 2019 pandemic. MATERIALS AND METHODS: This study was designed as a single-center, descriptive, cross-sectional retrospective study. The patients diagnosed with new-onset type 1 diabetes mellitus between April 1, 2020, and April 1, 2021, were included in the study. The rate of severe acute respiratory syndrome coronavirus 2 polymerase chain reactivity-positivity was investigated. The pandemic period was compared with the same period of the pre-pandemic 2 years in terms of number of new-onset type 1 diabetes mellitus patients, rate of presentation with diabetic ketoacidosis, and degree of diabetic ketoacidosis severity. RESULTS: In total, 56 patients were diagnosed with type 1 diabetes mellitus during the pandemic and 2 (3.57%) of them tested positive for severe acute respiratory syndrome coronavirus 2 polymerase chain reaction. The number of new-onset type 1 diabetes mellitus patients was 39 in 2019 and 39 in 2018. The rate of presentation with diabetic ketoacidosis was similar in the pandemic period compared to the pre-pandemic periods (53.5% in 2020 vs. 56.4% in 2019 and 53.8% in 2018; P = .94). The proportion of severe diabetic ketoacidosis was also similar in all years, respectively (43.3% in 2020 vs. 45.4% in 2019 and 47.6% in 2018; P = .95). CONCLUSION: We reported only 2 cases that tested positive for severe acute respiratory syndrome coronavirus 2among the new-onset type 1 diabetes mellitus patients during the pandemic. Although we found an increase in the number of new-onset type 1 diabetes mellitus cases by comparing with prepandemic period, rates of diabetic ketoacidosis and severe diabetic ketoacidosis were similar. There was no finding to suggest that severe acute respiratory syndrome coronavirus 2taking a part in type 1 diabetes mellitus pathogenesis. Since the development of type 1 diabetes mellitus is a long process, prospective studies are needed to investigate the long-term effects of severe acute respiratory syndrome coronavirus 2.