ISPAD Clinical Practice Consensus Guidelines 2018: Nutritional management in children and adolescents with diabetes

Insulin strategies for dietary fat and protein in type 1 diabetes: A systematic review

AIM

To identify and report the efficacy of insulin strategies used to manage glycaemia following fat and/or fat and protein meals in type 1 diabetes.

METHODS

A systematic literature search of medical databases from 1995 to 2021 was undertaken. Inclusion criteria were randomised controlled trials that reported at least one of the following glycaemic outcomes: mean glucose, area under the curve, time in range or hypoglycaemic episodes.

RESULTS

Eighteen studies were included. Thirteen studies gave additional insulin. Five studies gave an additional 30%-43% of the insulin-to-carbohydrate ratio (ICR) for 32-50 g of fat and 31%-51% ICR for 7-35 g of fat with 12-27 g of protein added to control meals. A further eight studies gave -28% to +75% ICR using algorithms based on fat and protein for meals with 19-50 g of carbohydrate, 2-79 g of fat and 10-60 g of protein, only one study reported a glycaemic benefit of giving less than an additional 24% ICR. Eight studies evaluated insulin delivery patterns. Four of six studies in pump therapy, and one of two studies in multiple daily injections showed the combination of bolus and split dose, respectively, were superior. Five studies examined the insulin dose split, four demonstrated 60%-125% ICR upfront was necessary. Two studies investigated the timing of insulin delivery, both reported administration 15 min before the meal lowered postprandial glycaemia.

CONCLUSIONS

Findings highlight the glycaemic benefit of an additional 24%-75% ICR for fat and fat and protein meals. For these meals, there is supportive evidence for insulin delivery in a combination bolus with a minimum upfront dose of 60% ICR, 15 min before the meal.

Low-Carbohydrate Diet among Children with Type 1 Diabetes: A Multi-Center Study

AIMS/HYPOTHESIS

The proportion of children with type 1 diabetes (T1D) who have experience with low-carbohydrate diet (LCD) is unknown. Our goal was to map the frequency of LCD among children with T1D and to describe their clinical and laboratory data.

METHODS

Caregivers of 1040 children with T1D from three centers were addressed with a structured questionnaire regarding the children's carbohydrate intake and experience with LCD (daily energy intake from carbohydrates below 26% of age-recommended values). The subjects currently on LCD were compared to a group of non-LCD respondents matched to age, T1D duration, sex, type and center of treatment.

RESULTS

A total of 624/1040 (60%) of the subjects completed the survey. A total of 242/624 (39%) subjects reported experience with voluntary carbohydrate restriction with 36/624 (5.8%) subjects currently following the LCD. The LCD group had similar HbA1c (45 vs. 49.5, p = 0.11), lower average glycemia (7.0 vs. 7.9, p = 0.02), higher time in range (74 vs. 67%, p = 0.02), lower time in hyperglycemia >10 mmol/L (17 vs. 20%, p = 0.04), tendency to more time in hypoglycemia <3.9 mmol/L(8 vs. 5%, p = 0.05) and lower systolic blood pressure percentile (43 vs. 74, p = 0.03). The groups did not differ in their lipid profile nor in current body height, weight or BMI. The LCD was mostly initiated by the parents or the subjects themselves and only 39% of the families consulted their decision with the diabetologist.

CONCLUSIONS/INTERPRETATION

Low carbohydrate diet is not scarce in children with T1D and is associated with modestly better disease control. At the same time, caution should be applied as it showed a tendency toward more frequent hypoglycemia.

Can the AHCL System Be Used in T1D Patients with Borderline TDDI? A Case Report

(1) Background: Intensive insulin therapy using continuous subcutaneous insulin infusion (CSII) with continuous real-time glucose monitoring (rt CGM) is the best option for patients with T1D. The recent introduction of a technology called Advanced Hybrid Closed Loop (AHCL) represents a new era in the treatment of type 1 diabetes, the next step towards better care, as well as improving the effectiveness and safety of therapy. The aim is to present the case of a T1D patient with a borderline total daily dose of insulin being treated with the Medtronic AHCL system in automatic mode. (2) Materials and Methods: A 9-year-old boy, from October 2020, with type 1 diabetes in remission was connected to the Minimed™ 780G (AHCL) system in accordance with the manufacturer’s recommendations (daily insulin dose > 8 units, age > 7). Records of the patient’s history were collected from visits to The Department of Children’s Diabetology, as well as from the Medtronic CareLink™ software and the DPV SWEET program from October 2020 to April 2021. (3) Results: The patient’s total daily insulin requirement decreased in the first 6 weeks after the AHCL was connected, which may reflect the remission phase (tight glycemic control with a healthy lifestyle). The lowest daily insulin requirement of 5.7 units was also recorded. In a three-month follow-up of the patient treated with AHCL, it was found that for almost 38% of the days the insulin dose was less than 8 IU. (4) Conclusions: The AHCL system allows safe and effective insulin therapy in automatic mode, as well as in patients with a lower daily insulin requirement. The AHCL system should be considered a good therapeutic option for patients from the onset of T1D, as well in the remission phase.

Rethinking Carbohydrate Intake and Time in Range in Children and Adolescents with Type 1 Diabetes

The aim of this study was to evaluate the association between macronutrient intake and time in range (TIR) of 70–180 mg/dL in children and adolescents with type 1 diabetes (T1D). A multi-center study recruited patients with T1D using continuous glucose monitoring (CGM) between January 2019 and January 2020 from centers across Italy. Diet intake was recorded using three-day weighed food diaries. Nutrients were evaluated as percentages of total intake. TIR was considered at target if the percentage of readings was higher than 70%. Clinical and nutritional factors associated with TIR at target were analyzed using multiple correspondence analysis and multiple logistic regression. Data from 197 participants (53% male, median age 11.6 years, median HbA1c 55.2 mmol/mol, median TIR 60%) were analyzed. Macronutrient intake was 45.9% carbohydrates, 16.9% protein, 37.3% fat, and 13.1 g/day fiber (median values). TIR > 70% was observed in 28% of participants; their diet contained more protein (17.6%, p = 0.015) and fiber (14.4 g/day, p = 0.031) than those not at target. The probability of having a TIR > 70% was significantly higher with 40–44% consumption of carbohydrates compared with 45–50% consumption of carbohydrates and with the use of a carbohydrate counting system. Based on these results, a five percent reduction in the percentage of carbohydrate intake can help children and adolescents with T1D achieve the goal of a TIR > 70%. Both a lower and higher percentage of carbohydrate intake appears to reduce the probability of reaching the target TIR > 70%. These results require validation in other populations before being used in clinical practice.

The Role of Protein and Fat Intake on Insulin Therapy in Glycaemic Control of Paediatric Type 1 Diabetes: A Systematic Review and Research Gaps

Carbohydrate counting (CHC) is the established form of calculating bolus insulin for meals in children with type 1 diabetes (T1DM). With the widespread use of continuous glucose monitoring (CGM) observation time has become gapless. Recently, the impact of fat, protein and not only carbohydrates on prolonged postprandial hyperglycaemia have become more evident to patients and health-care professionals alike. However, there is no unified recommendation on how to calculate and best administer additional bolus insulin for these two macronutrients. The aim of this review is to investigate: the scientific evidence of how dietary fat and protein influence postprandial glucose levels; current recommendations on the adjustment of bolus insulin; and algorithms for insulin application in children with T1DM. A PubMed search for all articles addressing the role of fat and protein in paediatric (sub-)populations (<18 years old) and a mixed age population (paediatric and adult) with T1DM published in the last 10 years was performed. Conclusion: Only a small number of studies with a very low number of participants and high degree of heterogeneity was identified. While all studies concluded that additional bolus insulin for (high) fat and (high) protein is necessary, no consensus on when dietary fat and/or protein should be taken into calculation and no unified algorithm for insulin therapy in this context exists. A prolonged postprandial observation time is necessary to improve individual metabolic control. Further studies focusing on a stratified paediatric population to create a safe and effective algorithm, taking fat and protein into account, are necessary.

Central Systolic Blood Pressure Is Associated With Early Vascular Damage in Children and Adolescents With Type 1 Diabetes

Objective of the study: This study aimed to test the effect of multiple cardiovascular risk factors on subclinical indices of atherosclerosis in children and adolescents with type 1 diabetes (T1D).

Methods: Carotid intima-media thickness (cIMT), carotid distensibility coefficient (cDC), and carotid–femoral pulse wave velocity (PWV) were measured in children and adolescents with T1D, in a follow-up at the outpatient clinics of Verona. Blood pressure (BP; both central and peripheral), metabolic and other cardiovascular risk factors were evaluated in multivariate linear regressions to assess the association with the measured indices of subclinical vascular damage.

Results: One hundred and twenty-six children and adolescents were included. cIMT was above the 95th percentile for age and height in 60.8% of the population, whereas 26% of the sample had cDC impairment (less than the 5th percentile) and 4.8% had an elevated PWV. Independent determinants of cIMT according to the regression models were only gender type of glucose monitoring and central systolic BP (cSBP). PWV was associated with age, sex, heart rate, and cSBP; cDC with age and both cSBP and, alternatively, peripheral BP (pBP). Neither pBP nor any of the tested metabolic parameters, including glycated hemoglobin, was associated with PWV and cIMT.

Conclusions: A high proportion of early vascular damage, especially an increased cIMT, is present in children and adolescents with T1D in whom cSBP seems to be a common determinant. In children and adolescents with T1DM, a special focus should be on hemodynamic risk factors beyond metabolic ones.

Sex-Related Differences in Cardiovascular Disease Risk Profile in Children and Adolescents with Type 1 Diabetes

Cardiovascular disease (CVD) is the primary cause of higher and earlier morbidity and mortality in people with type 1 diabetes (T1D) compared to people without diabetes. In addition, women with T1D are at an even higher relative risk for CVD than men. However, the underlying pathophysiology is not well understood. Atherosclerotic changes are known to progress early in life among people with T1D, yet it is less clear when excess CVD risk begins in females with T1D. This review explores the prevalence of classical CVD risk factors (such as glycemic control, hypertension, dyslipidemia, obesity, albuminuria, smoking, diet, physical inactivity), as well as of novel biomarkers (such as chronic inflammation), in children and adolescents with T1D with particular regard to sex-related differences in risk profile. We also summarize gaps where further research and clearer clinical guidance are needed to better address this issue. Considering that girls with T1D might have a more adverse CVD risk profile than boys, the early identification of and sex-specific intervention in T1D would have the potential to reduce later CVD morbidity and excess mortality in females with T1D. To conclude, based on an extensive review of the existing literature, we found a clear difference between boys and girls with T1D in the presence of individual CVD risk factors as well as in overall CVD risk profiles; the girls were on the whole more impacted.

Prolonged Honeymoon Period in a Thai Patient with Adult-Onset Type 1 Diabetes Mellitus

Objective

To describe a usual case of adult-onset T1DM with prolonged honeymoon period for more than 5 years.

Methods

Repeated mixed meal stimulation tests for a period of 6–12 months together with monitoring pancreatic autoantibodies and laboratory data were followed following the onset of diagnosis.

Results

We report a 24-year-old Thai patient with T1DM with sustained remission without antidiabetic medication for more than 5 years while maintaining low-carbohydrate intake and regular exercise. Repeated mixed meal stimulation tests for a period of 6–12 months revealed preserved beta-cell functions. Interestingly, repeated pancreatic autoantibodies at 5 years after diagnosis still showed positive anti-GAD, anti-IA2, and anti-ZnT8.

Conclusion

Restored beta-cell function with complete insulin withdrawal in new-onset T1DM has been reported in very few cases with some common factors as in our patient (low-carbohydrate intake with regular exercise). Delaying autoimmune activity by reducing metabolic load in newly diagnosed T1DM might play a role in maintaining the honeymoon period and could lead to an innovative therapeutic option in new-onset T1DM.

Carbohydrate restriction for diabetes: rediscovering centuries-old wisdom

Carbohydrate restriction, used since the 1700s to prolong survival in people with diabetes, fell out of favor after the discovery of insulin. Despite costly pharmacological and technological developments in the last few decades, current therapies do not achieve optimal outcomes, and most people with diabetes remain at high risk for micro- and macrovascular complications. Recently, low-carbohydrate diets have regained popularity, with preliminary evidence of benefit for body weight, postprandial hyperglycemia, hyperinsulinemia, and other cardiometabolic risk factors in type 2 diabetes and, with more limited data, in type 1 diabetes. High-quality, long-term trials are needed to assess safety concerns and determine whether this old dietary approach might help people with diabetes attain clinical targets more effectively, and at a lower cost, than conventional treatment.

Additional Insulin Is Required in Both the Early and Late Postprandial Periods for Meals High in Protein and Fat: A Randomized Trial

CONTEXT

The pattern and quantity of insulin required for high-protein high-fat (HPHF) meals is not well understood.

OBJECTIVE

This study aimed to determine the amount and delivery pattern of insulin required to maintain euglycemia for 5 hours after consuming a HPHF meal compared with a low-protein low-fat (LPLF) meal.

METHODS

This randomized crossover clinical trial, conducted at 2 Australian pediatric diabetes centers, included 10 patients (12-21 years of age) with type 1 diabetes for ≥ 1 year. Participants were randomized to HPHF meal (60 g protein, 40 g fat) or LPLF meal (5 g protein, 5 g fat) with identical carbohydrate content (30 g). A modified insulin clamp technique was used to determine insulin requirements to maintain postprandial euglycemia for 5 hours. Total mean insulin requirements over 5 hours were measured.

RESULTS

The total mean insulin requirements for the HPHF meal were significantly greater than for the LPLF meal (11.0 [CI 9.2, 12.8] units vs 5.7 [CI 3.8, 7.5] units; P = 0.001). Extra intravenous insulin was required for HPHF: 0 to 2 hours (extra 1.2 [CI 0.6, 1.6] units/h), 2 to 4 hours (extra 1.1 [CI 0.6, 1.6] units/h), and 4 to 5 hours (extra 0.6 [CI 0.1, 1.1] units/h) after the meal. There were marked inter-individual differences in the quantity of additional insulin (0.3 to 5 times more for HPHF) and the pattern of insulin delivery (0%-85% of additional insulin required in the first 2 hours).

CONCLUSION

The addition of protein and fat to a standardized carbohydrate meal almost doubled the mean insulin requirement, with most participants requiring half of the additional insulin in the first 2 hours.

Impact of Fat Intake on Blood Glucose Control and Cardiovascular Risk Factors in Children and Adolescents with Type 1 Diabetes

Nutrition therapy is a cornerstone of type 1 diabetes (T1D) management. Glycemic control is affected by diet composition, which can contribute to the development of diabetes complications. However, the specific role of macronutrients is still debated, particularly fat intake. This review aims at assessing the relationship between fat intake and glycemic control, cardiovascular risk factors, inflammation, and microbiota, in children and adolescents with T1D. High fat meals are followed by delayed and prolonged hyperglycemia and higher glycated hemoglobin A1c levels have been frequently reported in individuals with T1D consuming high amounts of fat. High fat intake has also been associated with increased cardiovascular risk, which is higher in people with diabetes than in healthy subjects. Finally, high fat meals lead to postprandial pro-inflammatory responses through different mechanisms, including gut microbiota modifications. Different fatty acids were proposed to have a specific role in metabolic regulation, however, further investigation is still necessary. In conclusion, available evidence suggests that a high fat intake should be avoided by children and adolescents with T1D, who should be encouraged to adhere to a healthy and balanced diet, as suggested by ISPAD and ADA recommendations. This nutritional choice might be beneficial for reducing cardiovascular risk and inflammation.

Insights from Bacteroides Species in Children with Type 1 Diabetes

In our previous study the enrichment of the intestinal proteome of type 1 diabetes (T1D) children with Bacteroides proteins was observed, which led us to our current study that aimed to isolate and characterize Bacteroides species from fecal samples of T1D and control children. Repetitive sequence-based PCR (rep-PCR) was used for typing the isolated Bacteroides species. The antibiotic susceptibility and mucinolytic activity of the isolates was determined. The quantification of specific bacterial groups in the fecal samples was determined by qPCR. The ability to adhere and invade the human colonic cell line HT29-MTX-E12 of strains of P. dorei, B. uniformis and P. distasonis was determined and their whole genome sequencing was performed. The results showed similar numbers of Bacteroides species in T1D and control samples, but unique Bacteroides species and a higher recovery of P. distasonis from T1D samples was observed. Rep-PCR grouped the different Bacteroides species, but no discrimination by origin was achieved. T1D children showed a significant increase in Proteobacteria and a depletion in Lactobacillus sp. All tested P. dorei, B. uniformis and P. distasonis were able to adhere to HT29-MTX-E12 cells but significant differences (p < 0.05) in the ability to invade was observed. The highest ability to invade was exhibited by P. distasonis PtF D14MH1 and P. dorei PtFD16P1, while B. uniformis strains were unable to invade. The damage to tight junctions was also observed. The presence of Lactobacillus sp. inhibited the invasion ability of P. distasonis PtF D14MH1 but not P. dorei PtFD16P1. Sequences of agonist peptides of the human natural preproinsulin and the insulin B chain insB:9-23 peptide mimics were identified. The results reported in our study stresses the continued efforts required to clarify the link between T1D and gut microbiota.

In children and young people with type 1 diabetes using Pump therapy, an additional 40% of the insulin dose for a high-fat, high-protein breakfast improves postprandial glycaemic excursions: A cross-over trial

AIM

To determine the insulin requirement for a high-fat, high-protein breakfast to optimise postprandial glycaemic excursions in children and young people with type 1 diabetes using insulin pumps.

METHODS

In all, 27 participants aged 10-23 years, BMI <95^th percentile (2-18 years) or BMI <30 kg/m² (19-25 years) and HbA_1c ≤64 mmol/mol (≤8.0%) consumed a high-fat, high-protein breakfast (carbohydrate: 30 g, fat: 40 g and protein: 50 g) for 4 days. In this cross-over trial, insulin was administered, based on the insulin-to-carbohydrate ratio (ICR) of 100% (control), 120%, 140% and 160%, in an order defined by a randomisation sequence and delivered in a combination bolus, 60% ¼ hr pre-meal and 40% over 3 hr. Postprandial sensor glucose was assessed for 6 hr.

RESULTS

Comparing 100% ICR, 140% ICR and 160% ICR resulted in significantly lower 6-hr areas under the glucose curves: mean (95%CI) (822 mmol/L.min [605,1039] and 567 [350,784] vs 1249 [1042,1457], p ≤ 0.001) and peak glucose excursions (4.0 mmol/L [3.0,4.9] and 2.7 [1.7,3.6] vs 6.0 [5.0,6.9],p < 0.001). Rates of hypoglycaemia for 100%-160% ICR were 7.7%, 7.7%, 12% and 19% respectively (p ≥ 0.139). With increasing insulin dose, a step-wise reduction in mean glucose excursion was observed from 1 to 6 hr (p = 0.008).

CONCLUSIONS

Incrementally increasing the insulin dose for a high-fat, high-protein breakfast resulted in a predictable, dose-dependent reduction in postprandial glycaemia: 140% ICR improved postprandial glycaemic excursions without a statistically significant increase in hypoglycaemia. These findings support a safe, practical method for insulin adjustment for high-fat, high-protein meals that can be readily implemented in practice to improve postprandial glycaemia.

Vegetarianism and type 1 diabetes in children

Type 1 diabetes (T1D) is a chronic autoimmune disease characterized by an absolute deficiency of insulin secretion. T1D management rests on three pillars: insulin therapy, correct diet and physical exercise. The aim is to focus the attention on diet and mainly on vegetarian diet, in order to evaluate if this kind of food style can offer the correct supply of nutrients, necessary for growth and well control glycaemic management. This paper is a short commentary on vegetarianism in the pediatric and adolescent population with Type 1 Diabetes. In all non-omnivorous diets there is a risk of a lack of some nutrients, as B12 vitamin and n 3 fatty acids which must therefore be measured. It is also important to monitor eating disorders especially in adolescent girls. About vegan diet, attention must be paid to the possible injury on growth brain already at risk, in diabetic children compared to the general population, due to insults related to frequent glucose variability (periods of prolonged hyperglycaemia alternating with hypoglycaemic episodes).

In conclusion, vegetarian diet could be suitable for children with type 1 diabetes; vegan diet could be too restrictive but with appropriate additions can be followed by these patients.

Disordered Eating Behaviors Among Italian Adolescents with Type 1 Diabetes: Exploring Relationships with Parents' Eating Disorder Symptoms, Externalizing and Internalizing Behaviors, and Body Image Problems

The purpose of this study is to examine associations of disordered eating behaviors (DEBs) with body image problems, parents' eating disorder symptoms, and emotional and behavioral problems among adolescents with type 1 diabetes (T1D). 200 adolescents (M age = 15.24 ± 1.45 years) with T1D completed a self-report measure of DEBs and body ideal internalization, and their parents completed self-report measures of parents' eating problems and child's psychological symptoms. Seventy-three (36.5%) adolescents were DEPS-r-positive (scores ≥ 20), with higher rates among girls (χ² = 9.034, p = .003). Adolescents with T1D and DEBs reported lower SES, worse metabolic control, higher zBMI (p < .001), more eating disorder symptoms, more body image problems, and more emotional and behavioral problems than adolescents with T1D but no DEBs (all p < .05). Parents of adolescents with DEBs showed higher levels of bulimia (p = .028) than parents of adolescents without DEBs. In both genders, pressure to conform to societal norms about body image (p < .01) and externalization symptoms (p < .05) emerged as significant predictors of DEBs. Findings suggest that adolescents with T1D and DEBs showed an alarming psychological condition, with higher level of body image and more emotional and behavioral problems.

Coeliac disease is associated with depression in children and young adults with type 1 diabetes: results from a multicentre diabetes registry

AIMS

To analyse the association between coeliac disease (CD) and depression in children, adolescents, and young adults with type 1 diabetes (T1D).

METHODS

We included 79,067 T1D patients aged 6-20 years, with at least six months of diabetes duration, and treatment data between 1995 and 2019 were documented in the diabetes patient follow-up registry. We categorized patients into four groups: T1D only (n = 73,699), T1 + CD (n = 3379), T1D + depression (n = 1877), or T1D + CD + depression (n = 112).

RESULTS

CD and depression were significantly associated (adjusted OR: 1.25 [1.03-1.53]). Females were more frequent in both the depression and the CD group compared with the T1D only group. Insulin pumps were used more frequently in T1D + CD and T1D + depression compared with T1D only (both p < .001). HbA1c was higher in T1D + depression (9.0% [8.9-9.0]), T1D + CD + depression (8.9% [8.6-9.2]), both compared with T1D only (8.2% [8.2-8.2], all p < .001). We found comorbid autism, attention deficit hyperactivity disorder, anxiety, schizophrenia, and eating disorders more frequently in the T1D + CD + depression group compared with T1D only (all p < .001).

CONCLUSIONS

CD and depression are associated in young T1D patients. The double load of T1D and CD may lead to an increased risk for depression. Depression was associated with additional psychological and neurological comorbidities. Aside from imperative CD screening after T1D diagnosis and regular intervals, depression screening might be helpful in routine care, especially in patients with diagnosed CD.

Medical management of children with type 1 diabetes on low-carbohydrate or ketogenic diets

OBJECTIVES

Low-carbohydrate and ketogenic diets are becoming increasingly popular choices for people with type 1 diabetes (T1D) aiming to achieve optimal glycemic control. A carbohydrate-restricted diet in children has been associated with negative health effects including poor linear growth and inadequate bone mineralization. Guidelines for monitoring children and adolescents choosing to follow a carbohydrate-restricted diet do not exist. We aimed to create a clinical protocol outlining how to clinically and biochemically follow patients choosing a carbohydrate-restricted diet with the goal of medical safety.

METHODS

An interdisciplinary committee was formed and reviewed current consensus guidelines for pediatric patients on carbohydrate-restricted diets for epilepsy and metabolic disorders. A literature search was done to determine management strategies for children with T1D on a low-carbohydrate or ketogenic diet. Key health parameters that require monitoring were identified: growth, glycemic control, bone health, cardiometabolic health, and nutritional status. These health outcomes were used to develop a protocol for monitoring children on carbohydrate-restricted diets.

RESULTS

A one-page protocol for medical providers and educational materials for families interested in following a low-carbohydrate or ketogenic diet were developed and successfully implemented into clinical care.

CONCLUSION

Implementing a protocol for children on carbohydrate-restricted diets in clinic allows medical providers to ensure medical safety while being open to discussing a family's dietary preferences. Following children in the protocol over time will lead to informed clinical guidelines for patients with T1D who choose to follow a carbohydrate-restricted diet.

Beyond A1C: A Practical Approach to Interpreting and Optimizing Continuous Glucose Data in Youth

Despite significant pharmacological and technological advances in the treatment of type 1 diabetes, the majority of youth in the United States do not meet the American Diabetes Association's recommended A1C goal. Understanding and managing glycemic variability is important in children and adolescents. Because A1C provides an incomplete picture of day-to-day glycemic fluctuations, continuous glucose monitoring (CGM)-derived metrics are a promising addition to address glycemic management challenges in youth with diabetes. In this article, we discuss how to develop practical strategies to optimize the use of CGM in the pediatric population, interpret the valuable data it provides, and develop personalized and actionable treatment goals.

Diagnosis, treatment and prevention of type 2 diabetes mellitus in children and adolescents

During the last two decades, there have been several reports of an increasing incidence of type 2 diabetes mellitus (T2DM) in children and adolescents, especially among those belonging to minority ethnic groups. This trend, which parallels the increases in prevalence and degree of pediatric obesity, has caused great concern, even though T2DM remains a relatively rare disease in children. Youth T2DM differs not only from type 1 diabetes in children, from which it is sometimes difficult to differentiate, but also from T2DM in adults, since it appears to be an aggressive disease with rapidly progressive β-cell decline, high treatment failure rate, and accelerated development of complications. Despite the recent research, many aspects of youth T2DM still remain unknown, regarding both its pathophysiology and risk factor contribution, and its optimal management and prevention. Current management approaches include lifestyle changes, such as improved diet and increased physical activity, together with pharmacological interventions, including metformin, insulin, and the recently approved glucagon-like peptide-1 analog liraglutide. What is more important for everyone to realize though, from patients, families and physicians to schools, health services and policy-makers alike, is that T2DM is a largely preventable disease that will be addressed effectively only if its major contributor (i.e., pediatric obesity) is confronted and prevented at every possible stage of life, from conception until adulthood. Therefore, relevant comprehensive, coordinated, and innovative strategies are urgently needed.

Nutrition Interventions in Pediatric Patients with Type 1 Diabetes: An Evidence Analysis Center Scoping Review

The objective of this scoping review was to identify and characterize studies examining the effect of nutrition management interventions and effectiveness of medical nutrition therapy to improve nutrition-related outcomes in children and adolescents with type 1 diabetes. An in-depth electronic search was conducted by a medical librarian in six databases: Medline, Embase, Cochrane Central Register of Controlled Trials, PsycINFO, The Cumulative Index to Nursing and Allied Health Literature, and Web of Science Core Collection. The literature search resulted in 5,122 records, and five records were identified through hand search. Of these 5,127 records, 22 articles and eight systematic reviews met our inclusion criteria. An equal number of the studies were experimental (ie, randomized or nonrandomized controlled trials, or noncontrolled trials) (n = 11) and observational (cohort, case-control, and cross-sectional) (n = 11) with the remaining studies being systematic reviews/meta-analyses (n = 8). Most of these studies were conducted in United States or Europe. Based on this scoping review, the majority of studies focus on either carbohydrate counting or evaluation of dietary intake patterns with little emphasis on tailored patient education/counseling services specifically designed to meet a young child's or his/her family's individual needs. Indeed, only four studies in this scoping review used dietary counseling and/or medical nutrition therapy. As such, there remains a significant gap in the literature as it relates to the efficacy and long-term management implications of tailored nutrition interventions in young children with type 1 diabetes.

Dietary management practices for type 1 diabetes mellitus by dietitians in KwaZulu-Natal

Background

In South Africa, 5% – 15% of diabetics have type 1 diabetes mellitus (T1DM). Dietitians are an important part of the diabetes management team; however, there is a lack of published data on the dietary management practices for T1DM by dietitians.

Aim

The aim of this study was to determine the dietary management practices for T1DM by dietitians in KwaZulu-Natal (KZN).

Setting

This study was conducted in KZN.

Methods

A cross-sectional, descriptive study was conducted using a self-administered electronic questionnaire.

Results

Of the 69 dietitians who participated, 58% (n = 40) used the American Diabetes Association (ADA) guidelines to manage T1DM; just under 35% (n = 24) spent over an hour with new cases; and 87% (n = 60) used face-to-face consultations for follow-up. Dietitians used the glycaemic index, portion control using the healthy eating plate, carbohydrate counting using nutritional labels and household measures and carbohydrate awareness to manage T1DM (p < 0.05). Dietitians also used the healthy eating plate (71%; n = 49) (p < 0.05) and household measures (73.9%; n = 51) (p < 0.05) to manage T1DM. Time constraints, the literacy level of the patient, available resources and language barriers all played a role in determining the dietary management practices used (p < 0.05).

Conclusion

Most dietitians in KZN used the ADA dietary guidelines to manage T1DM, which highlights the need for South African dietary guidelines for the management of T1DM. Dietitians used a variety of different dietary methods to manage T1DM in practice. This suggests that dietitians are flexible in how they manage T1DM with no one particular method being used. A variety of factors also influenced which dietary management practices were chosen.

Hubungan Paparan Sinar Matahari, Status Gizi, dan Asupan Makan terhadap Kadar Vitamin D Anak dan Remaja Penderita Diabetes Mellitus Tipe 1

Background: Previous research state the correlation between vitamin D deficiency and Type 1 diabetes. The deficiency of Vitamin D is caused by vitamin D intake, sunlight exposure, or nutritional status. Indonesia, as a tropical country, is close to the equator and receives sunlight all year long. Little research has been done on vitamin D levels in children and adolescents with Type 1 Diabetes in Indonesia.Objective: The study aims to determine the relationship among sunlight exposure, nutritional status, food intake, and vitamin D levels in children and adolescents with Type 1 Diabetes.Methods: The study design was cross-sectional with a sample size of 31 children and adolescents aged 5-19 years. Sunlight exposure data were collected using the Sun Exposure Questionnaire form, nutritional status o BMI/age data were using the WHO Anthro, food intake data were using the Semi-Quantitative Food Frequency Questioner, and vitamin D level data were using the ELISA method. Statistical analysis was conducted by using SPSS Version 21 with Pearson and Spearman correlation test.Results: All respondents showed vitamin D deficiency. Most respondents had low sunlight exposure and nutritional status in the normoweight category. The majority of respondents had good energy and protein intake, excess fat, low carbohydrates, and low vitamin D and calcium.Conclusion:There is a positive relationship between sunlight exposure and vitamin D level (p = 0.001, r = 0.627). However, there is no relationship among nutritional status, protein intake, fat, carbohydrates, vitamin D and calcium on the level of vitamin D (p = 0.409; p = 0.240; p = 0.311; p = 0.822; p = 0.231; 0.382).

What are the new guidelines and position papers in pediatric nutrition: A 2015-2020 overview

BACKGROUND

Nutrition related publications in pediatric population cover wide range of topics and therefore it is usually difficult for clinicians to get an overview of recent nutrition related guidelines or recommendations.

METHODS

The Special Interest Group (SIG) of Pediatrics of European Society for Clinical Nutrition and Metabolism (ESPEN) performed a literature search to capture publications in the last five years aiming to provide the latest information concerning nutritional issues in children in general and in specific diseases and to discuss progression in the field of pediatric nutrition evidence-based practice.

RESULTS

Eight major topics were identified as the most frequently reported including allergy, critical illness, neonatal nutrition, parenteral and enteral nutrition, micronutrients, probiotics and malnutrition. Furthermore, it was noted that many reports were disease focused or included micronutrients and were, therefore, represented as tables.

CONCLUSION

Overall, it has been shown that most reports on nutrition topics in pediatrics were systematic reviews or guidelines/position papers of relevant societies, but many of them basing the conclusion on a limited number of high-quality randomized controlled trials or large observational cohort studies.

The comparison of two mealtime insulin dosing algorithms for high and low glycaemic index meals in adolescents with type 1 diabetes

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.

The Association Between Glycemic Variability and Macronutrients in Young Children with T1D

OBJECTIVE

There is limited information regarding the potential effect macronutrients have on postprandial glycemic variability in young children with type 1 diabetes (T1D). To date, studies examining nutrition and glycemic outcomes either assess these factors at a single timepoint, or aggregate large datasets for group level analyses. This study examined how inter- and intraindividual fluctuations in carbohydrate, fat, and protein intake impact glycemic variability in the postprandial period for young children with T1D.

METHODS

Thirty-nine young children, aged 2-6 years, wore a continuous glucose monitor for 72 hr, while their parents completed detailed diet records of all food intake. The analyses tested three multilevel models to examine intra- and interindividual differences between food intake and postprandial glycemic variability.

RESULTS

The results suggest carbohydrate intake, relates to greater postprandial glycemic variability. In contrast, the results reveal the inverse effect for protein, suggesting a tendency for young children who ate more protein at some meals to have lower postprandial glycemic variability, with the exception of lunch. There was no effect for fat on postprandial glycemic variability.

CONCLUSION

These results suggest protein consumption may be an important consideration when aiming for optimal glycemic levels for some meals. When counseling parents of young children with T1D on common behaviors underlying glycemic excursion, pediatric psychologists may consider discussing the nutritional make up of children's meals. Further, the results demonstrate retaining longitudinal data at the person level, versus aggregating individual data for group level analyses, may offer new information regarding macronutrient intake and glycemic outcomes.

Medical nutrition therapy of pediatric type 1 diabetes mellitus in India: Unique aspects and challenges

Medical nutrition therapy (MNT) is a vital aspect of management of type 1 diabetes mellitus (T1DM) and should be tailored to ethnic and family traditions and the socioeconomic and educational status of the patient. In this article, we discuss the unique aspects of MNT in children and adolescents with T1DM in the Indian setting, with focus on the challenges faced by patients, dieticians and physicians and how these can be overcome. The authors reviewed the available literature on MNT in T1DM from India and prepared the document based on their vast collective clinical experience in treating patients with T1DM from different regions in India. Indian diets are predominantly carbohydrate-based with high glycemic index (GI) and low protein content. Various methods are available to increase the protein and fiber content and reduce the GI of food in order to limit glycemic excursions. Insulin regimens need to be tailored to the child's school timings, meal schedule, and the availability of a responsible adult to supervise/administer insulin. All patients, irrespective of economic and education background, should be taught the broad principles of healthy eating, balanced diet and carbohydrate counting. There are various barriers to dietary compliance, including joint family system, changing lifestyles, and other factors which need to be addressed. There is a need to customize dietary management according to patient characteristics and needs and develop standardized patient educational material on principles of healthy eating in various regional languages.

Type 1 diabetes mellitus in children: experience in Indonesia

The prevalence of type 1 diabetes mellitus (T1DM) in children in Indonesia is increasing although the real number is unknown due to high rate of misdiagnosis. Public and healthcare awareness on T1DM in children is still low, reflected by the high number of children diagnosed with diabetic ketoacidosis (DKA). The Indonesian Pediatric Society (IPS) had published a guideline on T1DM management, which consists of insulin injection, daily monitoring of blood glucose, nutrition, physical activity, and education. Aside from low awareness, current challenges on T1DM management in Indonesia are funding by the national health insurance, fasting during Ramadan, and inequities on DM care. The involvement of society, healthcare workers, stakeholders, and the government is of importance to ensure optimal management for children with diabetes.

Caregivers' Nutrition Knowledge and Dietary Intake of Type 1 Diabetic Children Aged 3-14 Years in Uganda

PURPOSE

This study aimed to assess the association between caregiver's level of type 1 diabetes (T1D) nutrition knowledge with children's dietary diversity score (DDS), mean intake of macronutrients, nutrient adequacy ratios (NARs) and mean adequacy ratio (MAR).

RESEARCH DESIGN AND METHODS

A cross-sectional analytical study design was used. The study was conducted at 6 diabetes clinics in Uganda among 59 caregivers and 61 children. T1D nutrition knowledge survey (NKS) was used to assess the caregiver's nutrition knowledge, and the 24-hour dietary recall and dietary diversity score (DDS) questionnaires were used to collect data on the child's dietary intake.

RESULTS

Majority (93.2%) of the caregivers had low T1D nutrition knowledge. Carbohydrate counting was the least performed nutrition knowledge domain. The children's mean DDS, calorie intake and MAR were 5.7 ± 1.6, 666.7 ± 639.8 kcal and 0.7 ± 0.3, respectively. The mean NARs of carbohydrate, protein, and fat were 0.9 ± 0.3, 0.9 ± 0.4, 0.5 ± 0.5, respectively. There was a significant association between DDS with NARs of carbohydrate, protein, fat, vitamins A, B2, B3, B5, B12, folic acid, zinc and MAR. No formal education was significantly associated with a lower mean NKS score among caregivers (p = 0.039). Caregivers' T1D nutrition knowledge, age and family size explained 14% of variation in the child's dietary diversity (p = 0.041).

CONCLUSION

Despite poor nutrition knowledge among caregivers especially on carbohydrate counting, dietary diversity among children with T1D remained favorable. Excess carbohydrate intake was observed with inadequate intake of proteins, fats and micronutrients (vitamin A, B vitamins and calcium). Caregivers with low education were more likely to register poor nutrition knowledge; therefore, there is need to develop and tailor nutrition education programmes to enhance comprehensive learning among caregivers for improved outcomes.

Weight loss programmes using low carbohydrate diets to control the cardiovascular risk in adolescents (Review)

Cardiovascular risk (CVR) is a broad term that includes traditional factors like hypertension, hyper lipidemia, abdominal obesity, hyperinsulinemia or overt type 2 diabetes mellitus (T2DM), and emerging ones such as hypothyroidism or inflammatory diseases. In epidemiologic studies, all of these factors are associated with atherogenesis and have complex interactions between them. They have in common an increased prevalence in the general population beginning in childhood, and are correlated with endothelial damage as demonstrated by echocardiographic modifications of the left ventricle or carotid intima-media thickness. Adolescence is a transition period where behavioural eating patterns develop and have a major impact on cardiovascular risk. To address these patterns, weight-loss programmes under medical supervision for overweight and obese adolescents are developed. It was observed that those who control the quality and quantity of their carbohydrates, by consuming more fruits and vegetables, associated with increased physical activity reduce their CVR. Some limited studies have shown that low carbohydrate diet (LCD) is safe and effective, but one should take into consideration the limited duration and the structure of the LCD. If there is a proper adherence to this type of nutritional intervention, it results in weight loss, improvement in insulin resistance, lipid profile and subclinical hypothyroidism reversal. We reviewed the literature starting from 2009 by searching all the observational, randomised clinical trials and meta-analyses on MEDLINE and SCOPUS databases regarding obesity and related metabolic diseases (dyslipidemia, type 2 diabetes, hypertension, hypothyroidism, LCD) in adolescents and synthesized the nutritional interventions for this population that could decrease CVR.

Nutrition and Obesity in the Pathogenesis of Youth-Onset Type 1 Diabetes and Its Complications

Since the 1980s, there has been a dramatic rise in the prevalence of overweight and obesity in pediatric populations, in large part driven by sedentary lifestyles and changing dietary patterns with more processed foods. In parallel with the rise in pediatric obesity in the general population, the prevalence of overweight and obesity has increased among children and adolescents with type 1 diabetes. Adiposity has been implicated in a variety of mechanisms both potentiating the risk for type 1 diabetes as well as exacerbating long-term complications, particularly cardiovascular disease. Treatment options targeting the unique needs of obese pediatric patients, both before and after diagnosis of type 1 diabetes, are limited. In this review, we discuss the history of the epidemiology of the obesity epidemic in the context of pediatric type 1 diabetes, highlight the possible role of obesity in type 1 diabetes pathogenesis and review the concept of "double diabetes". The impact of obesity at and after diagnosis will be discussed, including noted differences in clinical and biochemical markers, lipid abnormalities, and long-term cardiovascular complications. Finally, we will review the existing literature on pharmacologic and nutritional interventions as potential treatment strategies for youth with coexisting type 1 diabetes and obesity.

Low-carb Diet in Hospitalized Late Pubertal Type 1 Diabetic Girls: A Short-Term CGM Study

OBJECTIVE

We conducted the present study to observe potential short-term benefits or risks of low-carb diet (LCD).

METHODS

This is a prospective randomized cross-over study. Type 1 diabetic girls were hospitalized in ternary groups for 7 days and each group randomly started with LCD or regular diet. Continuous glucose monitoring (CGM) was performed between 0 and 168 h.

RESULTS

Twenty-eight subjects completed the study. Total energy, protein, and fat consumption were high (P < 0.001); carbohydrate consumption and rapidly acting insulin dose were low (P < 0.001 and P = 0.002, respectively) during LCD. Morning postprandial, noon postprandial, and evening preprandial capillary blood sugar levels were lower during LCD (P = 0.013, 0.018, and 0.048, respectively).

CONCLUSION

LCD may have the advantage of better glycemic control despite lower insulin dose which is a favorable outcome with regard to weight control and atherosclerosis prevention. No adverse events were observed.

Current Perspectives on the Role of Very-Low-Energy Diets in the Treatment of Obesity and Type 2 Diabetes in Youth

In both developed and developing countries, pediatric obesity and type 2 diabetes are an increasing public health concern: globally 5.6% of girls and 7.8% of boys aged ≥5 years have obesity. The incidence of type 2 diabetes has increased in youth in recent decades and disproportionately affects those from ethnic/racial minority groups and disadvantaged backgrounds. For the treatment of both conditions, conventional lifestyle intervention is frequently ineffective, access to bariatric surgery is very limited and many young people are unsuitable or unwilling to undergo surgery. A very-low-energy diet (VLED) provides a viable alternative and may be effective for weight reduction and improved glycemic control in youth, based on one systematic review. In particular, in the treatment of type 2 diabetes, a chart review and a pilot study both demonstrated that a VLED can reduce the requirement for medications, including insulin, and lead to the remission of diabetes. However, long-term follow-up and safety data remain limited and therefore a VLED is inconsistently recommended by clinical practice guidelines for the treatment of pediatric obesity and type 2 diabetes. In clinical practice, VLED use in children and adolescents is uniquely challenging due to intolerance of expected side effects, difficulty adhering to the highly restrictive diet and difficulty with behaviour change within the current social context and environment. Ultimately, more research, including larger, longer-term trials with comprehensive safety monitoring are required to strengthen the evidence base. This would inform clinical practice guidelines, which may facilitate more widespread utilization of VLED programs in the management of obesity and type 2 diabetes in youth.

Weight Management in Youth with Type 1 Diabetes and Obesity: Challenges and Possible Solutions

PURPOSE OF REVIEW

This review highlights challenges associated with weight management in children and adolescents with type 1 diabetes (T1D). Our purpose is to propose potential solutions to improve weight outcomes in youth with T1D.

RECENT FINDINGS

A common barrier to weight management in T1D is reluctance to engage in exercise for fear of hypoglycemia. Healthcare practitioners generally provide limited guidance for insulin dosing and carbohydrate modifications to maintain stable glycemia during exercise. Adherence to dietary guidelines is associated with improved glycemia; however, youth struggle to meet recommendations. When psychosocial factors are addressed in combination with glucose trends, this often leads to successful T1D management. Newer medications also hold promise to potentially aid in glycemia and weight management, but further research is necessary. Properly addressing physical activity, nutrition, pharmacotherapy, and psychosocial factors while emphasizing weight management may reduce the likelihood of obesity development and its perpetuation in this population.

13C/12C breath test ratio after the ingestion of a meal naturally enriched with (13C)carbohydrates is a surrogate marker of insulin resistance and insulin sensitivity in children and adolescents with Type 1 Diabetes

AIMS

To test the hypotheses that exogenous carbohydrate oxidation affects postprandial glycaemic profiles and ¹³C/¹²C breath test could be used for estimating insulin resistance (IR) and insulin sensitivity (IS) in youths with Type 1 Diabetes (T1D).

METHODS

Non-randomized, cross-sectional study for repeated measures; fifteen youths (11-15 years) with T1D were enrolled. Respiratory exchanges were measured by indirect calorimetry after the ingestion of a mixed meal [13% protein, 29% fat, 58% carbohydrate (CHO; naturally enriched with [¹³C]carbohydrates)]. Total and exogenous CHOs oxidation was calculated by indirect calorimetry and ¹³C/¹²C breath test. IR and IS were calculated using estimated Glucose Disposal Rate (eGDR) and Insulin Sensitivity Score (ISS).

RESULTS

The blood glucose Area Under the Curve (BG-AUC) was significantly associated with the amount of exogenous CHOs oxidized (r = -0.67, p < 0.02) when adjusting for CHOs intake and %fat mass. A direct correlation between eGDR and ISS with exogenous CHOs oxidized (r = 0.70, p < 0.02; r = 0.61, p < 0.05 respectively) and with the differential of ¹³C/¹²C enrichment in the expired at breath test (r = 0.59, p < 0.05; r = 0.62, p < 0.05), was found.

CONCLUSIONS

Assessing the capacity to oxidize exogenous CHOs (estimated by the differential of ¹³C/¹²C enrichment in the expired air at the breath test) could be used as a non-invasive surrogate marker of IR and IS in youths with T1D.

The effect of beta-glucan supplementation on glycemic control and variability in adolescents with type 1 diabetes mellitus

AIMS

This study aimed to investigate whether supplemental soluble fiber, oat β-glucan, has any effect on glycemic control and variability of adolescents with type 1 diabetes mellitus.

METHODS

This study was conducted in 30 adolescents with type 1 diabetes mellitus and it consisted of three phases lasting one week. At Phase I, all subjects followed a standard diet program. For Phase II and Phase III, the subjects continued their standard diet program and added natural oat flakes containing 3 g/day and 6 g/day β-glucan, respectively. Glucose levels were monitored by continuous glucose monitoring (CGM). The maximal, minimal, mean and daytime and night blood glucose levels, percentages of glucose values in a target range and below and above a target values were calculated for each of the phases. Premeal, postmeal, peak blood glucose values and peak times of meals were evaluated for each of the phases. Glycemic variability was measured via SD, CV, MAGE, IQR, MODD, LBGI, HBGI, and CONGA parameters.

RESULTS

The maximal, mean and daytime and night blood glucose levels were the lowest at Phase III (p < 0.05). Minimal blood glucose levels were the highest at Phase III (p < 0.05). Phase I, II, and III showed similar durations elapsed for Level 2 and Level 1 hypoglycemia, euglycemia, Level 1 and Level 2 hyperglycemia (p > 0.05). Premeal and postmeal blood glucose levels were lowest at Phase III for breakfast, lunch, and overall (p < 0.05). The lowest peak blood glucose levels were detected at Phase III for breakfast, lunch, dinner and overall (p < 0.05). Phase III also showed delayed peaks for all time-points (p < 0.05 for each) compared to other phases. Phase III had significantly lower levels of SD, CV, LBGI, and CONGA levels than those in either Phase I or Phase II (p < 0.05 for each).

CONCLUSION

6 g/day oat β-glucan have favorable outcomes in glycemic control and variability in adolescents with type 1 diabetes mellitus.

Effects of advanced carbohydrate counting on glucose control and quality of life in children with type 1 diabetes

OBJECTIVE

The effect of advanced carbohydrate counting (ACC) on metabolic and quality of life (QOL) outcomes is uncertain in children with type 1 diabetes. Our aim was to determine whether ACC would improve HbA1c and QOL scores as compared with standard nutrition in this population.

METHODS

We randomized 87 patients using pump and rapid-acting analogs in a 1 year randomized multicenter study (age 9.6 ± 3.5 years, diabetes duration 4.6 ± 2.7 years, HbA1c 7.8 ± 0.5% [62 ± 5 mmol/mol]). The ACC group received CC education and the control group received traditional dietary education. HbA1c was measured every 3 months. At 0 and 1 year, general, diabetes-specific, and diet-related QOL were respectively assessed by the KIDSCREEN and WHO-5 questionnaires, the diabetes-specific module of the DISABKIDS, and the diet restriction items of the DSQOLS.

RESULTS

Mean HbA1c was lower in the ACC than the control group at 3 months (P < .05) and tended to be lower at 6 months (P = .10), 9 months (P = .10), but not at 12 months. The mean of individual average HbA1c during the one-year study period (from M3 to M12) was 7.63 ± 0.43 in the ACC vs 7.85 ± 0.47% in the control group (60 ± 5 vs 62 ± 5 mmol/mol)(P < .05). ACC was associated with significantly higher scores at 1 year on the KIDSCREEN children's psychological scale and the KIDSCREEN parents' physical scale, the DISABKIDS children's treatment scale, and the children's and parents' dietary restriction scales of the DSQOLS (indicating better QOL or lower perceived diet restriction).

CONCLUSIONS

ACC may be associated with small improvements in metabolic control and QOL scores in children.

Carbohydrate Restriction and Growth Failure in Two Children with Type 1 Diabetes: A Case Report

Variety of media have popularized restrictive diets in diabetes mellitus reporting that carbohydrates are the cause of glycemic excursion, excessive insulin dosage, and weight gain. We report 2 cases of children with type 1 diabetes where adherence to restricted carbohydrate diets caused growth failure. Two prepubertal patients with type 1 diabetes presented at follow-up visit during the honeymoon period with no weight increase and low height velocity. Dietetic evaluation revealed a low-carbohydrate diet had been introduced in an attempt to achieve less postprandial excursions in the blood glucose readings. The 2 patients started to improve weight and height when the appropriate amount of carbohydrates was given. There are few published data to support not to restrict carbohydrate; therefore, we report 2 cases of children with type 1 diabetes where adherence to this diet caused growth failure. We want to emphasize the importance of educating families of children with type 1 diabetes on this aspect, particularly when they are in the honeymoon phase or this one is concluding.

Health-related quality of life and metabolic control in immigrant and Italian children and adolescents with type 1 diabetes and in their parents

OBJECTIVE

To determine if the diabetes-specific health-related quality of life (D-HRQOL) of young people with type 1 diabetes (T1D) and their parents is influenced by migrant status.

SUBJECTS AND METHODS

One hundred and twenty-five patients (12.4 ± 3.55 years, males 53.6%) with T1D and their parents (102 mothers, 37 fathers) were enrolled and categorized into: group A (both foreign parents) and group B (both native Italian parents). The Pediatric Quality of Life Inventory™ 3.0 Diabetes Module (PedsQL™ 3.0 DM) was used to evaluate the D-HRQOL. Data on diabetic ketoacidosis (DKA) at T1D onset, insulin therapy, and glycosylate hemoglobin (HbA1c) were also collected.

RESULTS

Group A (n = 40), compared to group B (n = 85), had higher frequency of DKA at T1D onset (P < .001) and a lower use of sensor augmented insulin pump (P = .015). HbA1c values were higher in group A than in group B (P < .001). Patients' "Diabetes symptoms" (P = .004), "Treatment barriers" (P = .001), and "Worry" (P = .009) scales scores were lower in group A than in group B. Mothers of group A had lower scores in "Diabetes symptoms" (P = .030), "Treatment barriers" (P < .001), "Treatment adherence" (P = .018), "Communication" (P = .009) scales, and total score (P = .011) compared to the group B ones. High PedsQL™ 3.0 DM was significantly associated with being Italian, being prepubertal, and having lower HbA1c mean levels.

CONCLUSIONS

Being a migrant confers disadvantages in terms of D-HRQOL and metabolic control in children and adolescents with T1D. Specific educational interventions should be considered in the clinical care of patients with migration background, to improve D-HRQOL and health status.

Management of children and adolescents having type 1 diabetes during COVID-19 pandemic in India: challenges and solutions

Purpose

Type 1 diabetes (T1D) requires a holistic approach and continuous care. The current COVID-19 pandemic has made the health care professionals realise its challenges even more ardently than in the normal times. In a country like India with its huge population burden and a significant number of people having T1D, the risk of COVID-19 in people having T1DM is considerably high.

Methods

In this article, we are sharing our practical experiences of problems faced by children and adolescents having T1DM during the past 2 months of lockdown.

Results

We have classified the challenges into 3 broad categories based on diabetes self-management, healthcare system and psychosocial aspects. We have tried to provide precise, comprehensive and region specific solutions to these challenges. Solutions briefly include maintaining the supply chain of essentials like insulin, syringes and glucose meter strips to psychological support, financial aid and support for hospitalization in case of COVID-19 itself or diabetes complications including diabetic ketoacidosis.

Conclusions

Children and adolescents having T1DM require special care and attention during this period of COVID-19 pandemic because of various challenges as discussed. Our proposed solutions may help them overcome these problems and help them in better diabetes management during such emergency situations.

The role of carbohydrate counting in glycemic control and oxidative stress in patients with type 1 diabetes mellitus (T1DM)

PURPOSE

Oxidative stress is closely related to type 1 diabetes mellitus (T1DM), playing a key role in the pathogenesis of the disease and progression of complications. It is characterized by loss of equilibrium between oxidative factors and antioxidant protective mechanisms. Several markers have been used to assess both components of oxidative status; two of which are malondialdehyde (MDA) and ferric reducing antioxidant power (FRAP).

METHODS

We investigated glycated hemoglobin (HbA1c), lipid profile, MDA, and FRAP in 35 patients with T1DM, aged 2-23 years, at the end of two 4-month observational periods: period A: standard insulin dosing per meal, and period B: proper prandial insulin dosing based on the amount of carbohydrates contained in each meal.

RESULTS

At the end of period B, (i) glucose control (HbA1c) was improved; (ii) oxidative stress, estimated by MDA, showed a tendency to decrease; and (iii) antioxidant capacity, estimated by FRAP, was significantly increased compared with that of period A. No significant differences were observed in the lipid profile of the patients between the two periods.

CONCLUSION

Proper insulin dosing based on carbohydrate counting (CC) may have an impact on the antioxidant defensive mechanisms of patients with T1DM through the attainment of a better glycemic profile. There are also indications that it may reduce MDA, an important biomarker of oxidative stress and a significant mediator of complications in T1DM. Therefore, prompt dietetic intervention using CC as early as possible after the diagnosis of T1DM is important for achieving optimal glycemic control and improved oxidative status.

Nutrition habits of children and adolescents with type 1 diabetes changed in a 10 years span

BACKGROUND

Diet plays a key role in the treatment of type 1 diabetes (T1D). Dietary habits changed rapidly in the last decades and few data are available on recent dietary changes in children and adolescents with T1D.

OBJECTIVE

To test the hypothesis that diet composition changed in a 10-year period in children and adolescents with T1D.

METHODS

Two hundred and twenty-nine T1D subjects (M/F:121/108) aged 6 to 16 years were recruited: 114 (group A) enrolled in 2009, not using CGM and/or CSII, and 115 (group B) enrolled in 2019. Anthropometric biochemical (HbA1c, lipid profile), diet, and insulin therapy parameters were compared between the two groups. Multivariate logistic regression analysis was performed with HbA1c as dependent variable (HbA1c > 58 mmol/mol = 1) and nutritional variables and technology use as independent ones.

RESULTS

Energy intake of group A was not statistically different from that of group B. Group B had a significantly (P < 0.001) higher protein and lipids intake and lower total carbohydrate and fiber intake than group A. HbA1c was significantly (P < 0.01) lower in group B than in group A. Logistic regression analysis showed that MUFA (OR 0.83, 95%CI:0.693-0.998), fiber intake (OR 0.82, 95%CI:0.699-0.0969), and technology use (OR 0.15, 95%CI:0.031-0.685), adjusted for age, gender, BMI, energy intake and diabetes duration, were associated with a HbA1c higher than 58 mmol/mol) (R² = 0.27, P < 0.05).

CONCLUSIONS

In a 10-year period, diet composition of children and adolescents with T1D changed and glucometabolic control improved. Fiber and MUFA intake showed a positive effect on HbA1c, independent from technology use, supporting the importance of educating children with T1D and families to maintain healthy eating habits.

Sleep and Night-time Caregiving in Parents of Children and Adolescents with Type 1 Diabetes Mellitus - A Qualitative Study

BACKGROUND

Type 1 diabetes mellitus (T1DM) is a common chronic illness of childhood, with parents assuming considerable responsibility for night-time diabetes caregiving. This qualitative study explored diabetes-related factors affecting, and solutions proposed to improve, parental sleep.

PARTICIPANTS

10 mothers and 10 fathers of children ≤18 years of age with T1DM in Otago, New Zealand.

METHODS

Semi-structured individual interviews were audio-recorded, transcribed, and systematically coded for themes. Parents completed the Pittsburgh Sleep Quality Index (PSQI) and habitual sleep of parents and children were assessed via 7-day actigraphy.

RESULTS

Parents (n = 20) and their children with T1DM (n = 16) were aged between 32 and 54 years, and 1 and 17 years, respectively. PSQI revealed poor quality sleep in 13/20 parents. A range of diabetes-related factors, including glucose monitoring and fear of hypoglycemia, contributed to parental sleep disturbance, including awakenings and the perception of "sleeping lightly". Two distinct time periods resulted in greater sleep disturbance, notably, following T1DM diagnosis and when transitioning to using a new diabetes technology. Factors influencing maternal and paternal sleep were similar, but, generally, mothers described greater night-time care burden and sleep disturbance. While the use of diabetes technologies was generally advocated to improve parental sleep and the provision of nocturnal T1DM care, they were also perceived to potentially contribute to parental sleep disturbance.

CONCLUSIONS

Pediatric diabetes care teams should be aware of diabetes-related factors potentially affecting parental sleep, the mixed impacts of diabetes technologies, and consider tailored parental support and education to reduce the burden of nocturnal care.

Pharmacological therapies to address obesity in type 1 diabetes

PURPOSE OF REVIEW

Obesity is increasing in prevalence among patients with type 1 diabetes (T1D) and is associated with insulin resistance and increased cardiovascular risk. The management of obesity in this population is complicated by defects in pancreatic islet hormone secretion and the effects of exogenous insulin treatment. Here, we review the effects of antiobesity medications and adjunct-to-insulin medications on body weight in T1D.

RECENT FINDINGS

There is a profound evidence gap around the use of drugs for the treatment of obesity in T1D since systematic studies have not been performed in this population. Adjunctive-to-insulin therapy with certain antihyperglycemic agents leads to modest weight loss and reductions in insulin dose in T1D. However, only pramlintide has been approved in the United States for clinical use as adjunctive therapy in T1D.

SUMMARY

The growing prevalence of obesity in T1D has created an unmet need for safe and effective therapies to treat overweight and obesity in this population. Currently, antiobesity medications are used off-label for the treatment of patients with T1D. Additional studies are needed to understand the role of these medications in the management of obesity in patients with T1D.

The current state of parent feeding behavior, child eating behavior, and nutrition intake in young children with type 1 diabetes

BACKGROUND

One integral component of type 1 diabetes (T1D) management is attention to nutrition, which can be particularly challenging in young children.

OBJECTIVE

The current study reports on parent and child eating/feeding behavior and nutrition intake as compared with current recommendations for pediatric T1D.

SUBJECTS

Participants were 46 children ages 2 to 5 diagnosed with T1D and one parent.

METHODS

The Behavioral Pediatrics Feeding Assessment Scale (BPFAS) was used to assess parent feeding and child eating behaviors. The Remote Food Photography Method (RFPM) was used to analyze nutrition intake at breakfast. Demographic and medical information were collected via self-report and medical chart review.

RESULTS

In the current sample, 37% of BPFAS scores were above the cutoff for problem child eating behavior. Only 28% of participants met the recommended goals for glycemic control (hemoglobin A1c, HbA1c < 7.5). Children who did not meet glycemic control targets reported higher carbohydrate intake than those meeting targets. Protein recommendations were met by 46%; 22.7% met the recommendation for carbohydrate intake, and 45.5% met fat intake recommendations. The majority of the sample did not meet body mass index percentile (BMI%) recommendations with 51% having a BMI% above the 85th percentile.

CONCLUSIONS

Many parents of young children with T1D report problem child eating behaviors. Further, a significant number of young children are not meeting glycemic, nutritional, or BMI guidelines for T1D. Routine screening for dietary difficulties in young children is warranted. Future research should aim to examine interventions targeting families with young children not meeting nutrition, glycemic, or BMI guidelines.

High-protein meals require 30% additional insulin to prevent delayed postprandial hyperglycaemia

AIM

To determine the amount of additional insulin required for a high-protein meal to prevent postprandial hyperglycaemia in individuals with type 1 diabetes using insulin pump therapy.

METHODS

In this randomized cross-over study, 26 participants aged 8-40 years, HbA_1c < 65 mmol/mol (8.1%), received a 50 g protein, 30 g carbohydrate, low-fat (< 1 g) breakfast drink over five consecutive days at home. A standard insulin dose (100%) was compared with additional doses of 115, 130, 145 and 160% for the protein, in randomized order. Doses were commenced 15-min pre-drink and delivered over 3 h using a combination bolus with 65% of the standard dose given up front. Postprandial glycaemia was assessed by 4 h of continuous glucose monitoring.

RESULTS

The 100% dosing resulted in postprandial hyperglycaemia. From 120 min, ≥ 130% doses resulted in significantly lower postprandial glycaemic excursions compared with 100% (P < 0.05). A 130% dose produced a mean (sd) glycaemic excursion that was 4.69 (2.42) mmol/l lower than control, returning to baseline by 4 h (P < 0.001). From 120 min, there was a significant increase in the risk of hypoglycaemia compared with control for 145% [odds ratio (OR) 25.4, 95% confidence interval (CI) 5.5-206; P < 0.001) and 160% (OR 103, 95% CI 19.2-993; P < 0.001). Some 81% (n = 21) of participants experienced hypoglycaemia following a 160% dose, whereas 58% (n = 15) experienced hypoglycaemia following a 145% dose. There were no hypoglycaemic events reported with 130%.

CONCLUSIONS

The addition of 30% more insulin to a standard dose for a high-protein meal, delivered using a combination bolus, improves postprandial glycaemia without increasing the risk of hypoglycaemia.