Early exposures and inherent factors in premature newborns are associated with type 1 diabetes.

BACKGROUND: Pathophysiology of type 1 diabetes (T1D) involves immune responses that may be associated with early exposure to environmental factors among preterm newborns. The aim of this work was to evaluate for association between T1D and maternal, nutritional, and medical exposures during the neonatal period among premature newborns. METHODS: This is a multicenter, matched case-control study. Preterm newborns, who developed T1D before 18 years, were matched by sex, gestational age (GA), birth date, and medical center of birth with newborns who did not develop TID. Data included maternal medical history, birth weight (BW), length of hospitalization, enteral and parenteral medications, fluid administration, and feeding modalities during hospitalization. RESULTS: Fifty-two patients with T1D, 26 males, median age at T1D diagnosis 8.17 years (5.92-9.77), median GA 34 weeks (33-m36), and 132 matched controls, were included. Multivariate-conditional-regression demonstrated a significant association between T1D and any maternal illness (23.1% vs. 9.1%, OR = 4.99 (1.69-14.72), p = 0.004), higher BW-SDS (0.07 ± 0.95 vs. -0.27 ± 0.97, OR = 2.03 (1.19-3.49), p = 0.01), longer duration of glucose infusion (3 (1-5) days vs. 2 (0-4), OR = 1.23 (1.03-1.46), p = 0.02), and antibiotic therapy beyond the first week of life (19.2% vs. 6.9%, OR = 5.22 (1.32-20.70), p = 0.019). Antibiotic treatment during the first week of life was negatively associated with T1D (51.9% vs. 67.2%, OR 0.31 (0.11-0.88), p = 0.027). CONCLUSIONS: A novel association was demonstrated between the development of T1D and early interventions and exposures among preterm newborns. IMPACT: Type 1 diabetes mellitus during childhood may be associated with early exposures during the neonatal period, in addition to known maternal and neonatal metabolic parameters. Early exposure to intravenous antibiotics, differing between the first week of life and later, and longer parenteral glucose administration to preterm newborns were associated with childhood type 1 diabetes. This is in addition to familiar maternal risk factors. Future prospective studies should examine the microbial changes and immune system characteristics of preterm and term neonates exposed to parenteral antibiotics and glucose treatment, in order to validate our exploratory findings.

Glycemic control in adolescents with type 1 diabetes: Are computerized simulations effective learning tools?

OBJECTIVE: Type 1 diabetes mellitus (T1DM) in adolescent patients is often characterized by poor glycemic control. This study aimed at exploring the contribution of learning with computerized simulations to support: (a) mechanistic understanding of the biochemical processes related to diabetes; (b) diabetes self-management knowledge; and (c) glycemic control. We hypothesized that learning with such simulations might support adolescents in gaining a better understanding of the biochemical processes related to glucose regulation, and consequently improve their glycemic control. METHODS: A prospective case-control study was conducted in 12- to 18-year-old adolescents with T1DM (n = 85) who were routinely treated at an outpatient diabetes clinic. While the control group (n = 45) received the routine face-to-face follow-up, the intervention group (n = 40) learned in addition with computerized simulations that were embedded in pedagogically supportive activities. Participants in both groups completed a set of questionnaires regarding sociodemographic characteristics, diabetes mechanistic reasoning and diabetes self-management. Clinical data and serum glycated hemoglobin (HbA1c) levels were gathered from medical records. All the data was collected at recruitment and 3 months later. RESULTS: Analysis revealed improvement HbA1c levels in the intervention group (8.7% ± 1.7%) vs the controls (9.6% ± 1.6%) after 3 months (P < .05). Regression analysis showed that levels of diabetes mechanistic understanding and diabetes self-management knowledge, in addition to sociodemographic parameters, accounted for 31% of the HbA1c variance (P < .001). CONCLUSION: These results suggest that learning with computerized simulations about biochemical processes can improve adolescents' adherence to medical recommendations and result in improved glycemic control. Implementing scientific learning into the hospital educational setting is discussed.

Identifying sources of support and barriers to physical activity in pediatric type 1 diabetes.

OBJECTIVES: Reports suggest that children with type 1 diabetes (T1D) perform less than the recommended daily activity and are less active than their non-diabetic peers. We aimed to: (a) Identify barriers and sources of support for exercise performance in pediatric T1D. (b) Identify strengths and limitations in the exercise-directed education provided by our diabetes team. METHODS: Patients with T1D 5 to 20 years of age were recruited while attending a routine clinic visit. Participants completed a set of questionnaires assessing demographics, health data, barriers, and sources of support for exercise performance and diabetes related exercise education. The clinics' medical staff filled-out a questionnaire assessing the exercise-directed education provided in clinic. RESULTS: Ninety-six subjects were included in this study, mean age 13.7 ± 3.8 years. Median weekly reported exercise time was 3.5 hours. The two most prevalent barriers were fear of hypoglycemia and low fitness, reported by 76% and 51%, respectively. Mean family and social support scores were 4.1 ± 0.7 and 3.3 ± 1.1, respectively (1-5 scale); the latter correlated with the amount of activity performed (cc = 0.360; P < .001). The majority of participants (97%) reported receiving guidance for physical activity, to their satisfaction. Yet, knowledge and implementation were suboptimal. All staff members reported conducting routine exercise-directed teaching, with variations in frequency and content. CONCLUSIONS: Our findings suggest that in order to increase the amount of safely performed exercise in pediatric patients with T1D, fear of hypoglycemia must be addressed. Further efforts should focus on: (a) encouraging active family and social involvement (b) standardization of education.

Adherence to diabetes care: Knowledge of biochemical processes has a high impact on glycaemic control among adolescents with type 1 diabetes.

AIM: To evaluate the impact of patients' understanding of biochemical processes involved in glucose regulation (causal-biochemical knowledge) and of diabetes self-management knowledge on adherence to treatment recommendations among adolescents with type 1 diabetes mellitus. DESIGN: A cross-sectional study. METHODS: Adolescents with type 1 diabetes mellitus, aged 12-18 years and able to read and write in Hebrew or in Arabic were eligible. Participants were recruited between August 2016 - January 2018 during routine visits to the Paediatric Diabetes Clinic; informed consent was obtained as customary. Patients completed sociodemographic, clinical and type 1 diabetes mellitus self-management and biochemical knowledge questionnaires. Adherence to treatment was assessed by patients' serum HbA1c levels, collected from medical records. RESULTS: Ninety-seven patients participated in the study. Mean HbA1c levels were 9.2% (1.9%) and only 24 (24.7%) patients met the recommended HbA1c ≤ 7.5%. Lower HbA1c levels were strongly associated with higher family income, older age at diagnosis and with better type 1 diabetes mellitus self-management and causal-biochemical knowledge. A regression model showed that causal-biochemical knowledge contributed to the variance in HbA1c levels. Furthermore, causal-biochemical knowledge, but not self-management knowledge, was found to mediate the negative relationship between low family income and high HbA1c levels. CONCLUSIONS: Causal-biochemical knowledge is a valuable component for the adherence to diabetes care and glycaemic control. IMPACT: Our study suggests that causal knowledge is a valuable component that should be included in nursing and healthcare educational programmes for adolescents with type 1 diabetes mellitus.

Prevalence of early and late prematurity is similar among pediatric type 1 diabetes patients and the general population.

BACKGROUND: The incidence of type 1 diabetes mellitus (T1DM) has increased in recent decades, as has the incidence of preterm births (<37 weeks). We aimed to evaluate and compare the prevalence of prematurity and early prematurity (<34 weeks) and birth season variability among T1DM and non-T1DM children. METHODS: A nationwide cross-sectional study was conducted, with linkage of data from 13 paediatric diabetes centers and Israeli National Registries, including T1DM patients and general non-T1DM population, born during 2000 to 2013. Gathered data included ethnicity, gender, birth week, weight, and season. The prevalence of prematurity and birth season were compared with the general population birth registry using Pearson Chi-square test. RESULTS: The study population included 1452 T1DM patients, 52.7% males, and 2 138 668 subjects in the general non-T1DM population, 51.2% males. The prevalence of late and early prematurity was similar between groups (6.1% and 2.2% in the T1DM group vs 5.6% and 2.0% in the general non-T1DM group, P = 0.25 and P = 0.38, respectively). OR for prematurity among T1DM patients was 1.15 (0.95-1.39), P = 0.16. No difference in birth season was demonstrated between preterm and term, in T1DM and general non-T1DM populations. Ethiopian descent was more prevalent among T1DM patients compared with the non-T1DM population, in both term and preterm born. CONCLUSIONS: This is the largest population-based study, and the first in the Middle East geographical area, indicating that prematurity, including early prematurity, is not associated with T1DM during childhood. The study was registered at https://clinicaltrials.gov/: NCT02929953.