Carbohydrate intake in relation to BMI, HbA1c and lipid profile in children and adolescents with type 1 diabetes

Modifiable lifestyle risk factors for overweight and obesity in children and adolescents with type 1 diabetes: A systematic review

This review aims to identify and report epidemiological associations between modifiable lifestyle risk factors for overweight or obesity in children and adolescents with type 1 diabetes (T1D). A systematic literature search of medical databases from 1990 to 2023 was undertaken. Inclusion criteria were observational studies reporting on associations between dietary factors, disordered eating, physical activity, sedentary and sleep behaviours and measures of adiposity in children and adolescents (<18 years) with T1D. Thirty-seven studies met inclusion criteria. Studies were mostly cross-sectional (89 %), and 13 studies included adolescents up to 19 years which were included in this analysis. In adolescents with T1D, higher adiposity was positively associated with disordered eating behaviours (DEB) and a higher than recommended total fat and lower carbohydrate intake. A small amount of evidence suggested a positive association with skipping meals, and negative associations with diet quality and sleep stage. There were no published associations between overweight and physical activity, sedentary behaviours and eating disorders. Overall, the findings infer relationships between DEB, fat and carbohydrate intake and adiposity outcomes in people with T1D. Prospective studies are needed to determine causal relationships and to investigate sleep stages. High quality studies objectively measuring physical activity and include body composition outcomes are needed.

Self-care activities in pediatric patients with type 1 diabetes mellitus

INTRODUCTION

Effective diabetes self-management and collaborative responsibility sharing with parents are imperative for pediatric patients with type 1 diabetes mellitus, particularly as they gradually assume more self-care responsibilities. The primary goal of this study was to assess differences in adherence to self-care activities regarding sociodemographics and clinical characteristics in pediatric patients with type 1 diabetes. The secondary goal of this study was to understand the level of parental involvement in diabetes management and to assess the pediatric patients' behaviors (independent or dependent on disease self-management) that relate to sociodemographic and clinical characteristics.

METHODS

This was a comparative cross-sectional and correlational study. The study sample included 182 children and adolescents who had been diagnosed with type 1 diabetes at least 3 months prior. Data collection instruments included a sociodemographic and questionnaire about Adherence to self-care activities and parental involvement in diabetes self-management, as well as a documentation sheet for recording clinical data.

RESULTS

A majority of participants (71%) exhibited non-adherence to self-care tasks, despite 78.0% asserting their independence in diabetes self-management. Notably, insufficient parental involvement in administering insulin therapy significantly predicted severe hypoglycemic episodes.

CONCLUSIONS

Pediatric patients dealing with type 1 diabetes demonstrate a substantial degree of autonomy in managing their condition, paradoxically coupled with self-reported non-adherence to critical self-care responsibilities. Notably, children (aged 8-12) rely more heavily on parental support, especially concerning insulin therapy administration. The study underscores the crucial role of parental engagement in insulin therapy, as its deficiency significantly predicts the likelihood of severe hypoglycemic episodes.

Food Behaviour and Metabolic Characteristics of Children and Adolescents with Type 1 Diabetes: Relationship to Glycaemic Control

Diet is an essential element of treating and managing type 1 diabetes (T1D). However, limited research has examined food behaviour in children and adolescents with T1D and their relationship to glycaemic control. This study evaluated food behaviour, metabolic characteristics and their impact on the glycaemic control of children and adolescents with T1D. Two hundred and fifty-eight participants with T1D (6-15 years, duration of diabetes >1 year) were recruited. Demographic, anthropometric and clinical data were collected. Questionnaires on food neophobia and food preferences were administered. The Child Food Questionnaire (CFQ) also assessed parental feeding practices. An analysis of food behaviour showed that food neophobia was inversely associated with the liking of vegetables, fruits, fish, sweets and carbohydrates. Moreover, by analysing parental feeding practices, an inverse association of "Pressure to eat", "Monitoring" and "Restriction" with liking for vegetables and carbohydrates emerged. Considering glycaemic control, increased food neophobia and the parent practices "Restriction", "Pressure to eat" and "Concern about weight" were found in participants with glycated haemoglobin (HbA1c) values >8.5%. Finally, higher body mass index (BMI) and total cholesterol values were observed in subjects with HbA1c values >8.5%. These findings contribute to a better understanding of eating behaviour, metabolic status and their complex relationship with glycaemic control.

A pragmatic low carbohydrate diet intervention changes neither carbohydrate consumption nor glycemia in adolescents and young adults with type 1 diabetes in a randomized trial

OBJECTIVE

Despite enthusiasm for low carbohydrate diets (LCDs) among patients with type 1 diabetes (T1DM), no prospective study has investigated outcomes in adolescent T1DM. We aimed to quantify a pragmatic LCD intervention's impact on glycemia, lipidemia, and quality of life (QOL) in adolescents with T1DM.

RESEARCH DESIGN AND METHODS

At an academic center, we randomized 39 patients with T1DM aged 13-21 years to one of three 12-week interventions: an LCD, an isocaloric standard carbohydrate diet (SCD), or general diabetes education without a prescriptive diet. Glycemic outcomes included glycosylated hemoglobin (HbA1c) and continuous glucose monitoring.

RESULTS

There were no significant differences in glycemic, lipidemic, or QOL parameters between groups at any timepoint. Median HbA1c was similar at baseline between groups and did not change appreciably (7.9%-8.4% in LCDs, 7.9%-7.9% in SCDs, and 8.2%-7.8% in controls). Change in carbohydrate consumption was minimal with only one participant reaching target carbohydrate intake.

CONCLUSIONS

This pragmatic LCD intervention did not alter carbohydrate consumption or glycemia. Although this study was unable to evaluate a highly controlled LCD, it indicates that adolescents are unlikely to implement an educational LCD intervention in routine clinic settings. Thus, this approach is unlikely to effectively mitigate hyperglycemia in adolescents.

Assessment of dietary intake by self-report in adult patients with type 1 diabetes treated with a personal insulin pump

Introduction

Appropriate nutrition is an element affecting the metabolic control of patients with diabetes. There are only a few studies assessing the implementation of dietary recommendations in adult patients with type 1 diabetes; none of them assessed the implementation of nutritional standards. Our study aimed to assess the implementation of dietary recommendations and their relation to metabolic control in adults with T1DM treated with personal insulin pumps.

Materials and Methods

The study included 48 adult patients who were divided into two subgroups and compared, based on HbA1c above and below 6.5%. Each patient's nutrient, vitamin, and mineral intake was assessed on self-reported 3-day 24-hour surveys of food consumption. Records were introduced into the dietetic software DietaPro, (source: http://www.dietapro.eu/) which revealed nutrient content. We evaluated the percentage of patients with nutrient consumption below recommended values based on current recommendations.

Results

The studied population was characterized by insufficient consumption of most nutrients and vitamins: sodium, potassium, calcium, magnesium, iron, zinc, copper, iodine, manganese, vitamin A, vitamin D, vitamin E, thiamine, riboflavin, niacin, vitamin B6, folate, vitamin B12, vitamin C. Patients’ diet did supply correct amounts of phosphorus, and too much fatty acid and cholesterol. There were no statistically significant differences in most of the nutrient intakes across the two groups. Nevertheless, we observed a significant difference in the polyunsaturated fatty acids, sodium, niacin, and calcium intakes.

Conclusions

The studied patients consumed too much saturated fatty acid and dietary cholesterol. The consumption amounts of most nutrients and vitamins were associated with the risk of deficiency. The obtained results indicate the need for further dietary education for patients with T1DM.

Alterations in sweet taste function in adults with diabetes mellitus: a systematic review and potential implications

Diet therapy for diabetes involves controlling carbohydrate intake in order to manage blood glucose concentrations. Simple carbohydrates, like sucrose, quickly and potently raise blood glucose when ingested, and are typically perceived as sweet. Sweetness is innately pleasurable and contributes to the positive hedonic evaluation of foods and beverages. There is some evidence to suggest that individuals with diabetes mellitus may be less able to detect sweetness, which could result in increased intake and, thus, more difficulty managing blood glucose. A systematic review that included PubMed, PsycInfo, and Embase databases was conducted. Inclusion criteria included observational studies that investigated the sweet taste function of adults with and without diabetes mellitus (Prospero CRD42021225058). The quality of the final included studies was assessed using the Academy of Nutrition and Dietetics' Evidence Analysis Library Quality Criteria Checklist: Primary Research tool. Eighteen studies that compared sweet taste thresholds, intensity ratings, or hedonic responses in adults both with and without diabetes were included. Differences in sweet taste thresholds, both detection and recognition, indicated that individuals with diabetes were less sensitive than healthy controls. The same findings were observed for intensity ratings. Only two studies examined hedonic responses; results were inconclusive.

Determinants of ultra-processed food consumption in Brazilian children and adolescents with type 1 diabetes mellitus: a cross-sectional study

OBJECTIVES

To analyze the determinants of UPP consumption among children and adolescents with type 1 diabetes mellitus.

METHODS

Cross-sectional study at a reference hospital for the treatment of diabetes in Rio de Janeiro, Brazil. The sociodemographic, anthropometric, dietary, and clinical factors associated with the percentage of total energy intake (TEI) consumed in the form of UPP were investigated. Food consumption was assessed by 24 h recall and the foods were classified according to the degree of processing as described in the NOVA classification, after which the TEI of each food group was calculated. Multiple linear regression was adopted in the analysis, and associations with p<0.05 were considered significant.

RESULTS

The study included 120 children and adolescents with a mean age of 11.74 ± 2.88 years, 53.3% female. Body mass index z-score was 0.65 (± 0.89) and 31.7% (n=38) were overweight. The average total energy consumption was 1,756.38 kcal (± 518.38). The mean percentage of TEI from UPP was 24.2% ± 17.9, meaning that 425.59 kcal (± 380.15) of all calories ingested came from such foods. The independent variables associated with the percentage of ultra-processed foods (UPP) in TEI were: per capita household income up to one the minimum wage (β: -22.03; CI 95% -35.24 to -8.82); and parents/guardians schooling of the up to nine years in formal education (β: 19.86; CI 95% 8.27-31.45).

CONCLUSIONS

Lower household income and fewer years in formal education seem to determine a preference for UPP over fresh and minimally processed foods.

Effect of Nutritional Habits on the Glycemic Response to Different Carbohydrate Diet in Children with Type 1 Diabetes Mellitus

Unhealthy eating habits are associated with obesity, metabolic syndrome, and increased insulin resistance in young patients with type 1 diabetes mellitus (T1DM), and may impact the possible benefit from dietary interventions on glycaemic control. This study determines how nutritional patterns influence the quality of dietary intervention with a 30% or 50% carbohydrate diet in terms of glycaemic control measured with continuous glucose monitoring (CGM). Eating habits were obtained with a frequency-of-consumption questionnaire (FFQ-6) before the diet assessment. Altogether, we collected CGM and FFQ-6 data from 30 children (16 boys and 14 girls aged 10-17 years) with T1DM subjected to two consecutive 3-day nutritional plans. From these, 23 patients met the CGM data quality criteria for further analysis. Furthermore, high accuracy achieved in training (95.65%) and V-fold cross-validation (81.67%) suggest a significant impact of food habits in response to introduced nutritional changes. Patients who consumed more vegetables or grains (>4 times per day), more wheat products (>once per day), fewer fats (<1.5 times per day), and ranked fruit juice as the most common selection in the drinks category achieved glycaemic control more often after the introduction of a 30% carbohydrate diet, as opposed to those with different dietary patterns, whose glycaemic control was negatively impacted after switching to this diet. Additionally, the 50% carbohydrate diet was safe for all patients in the context of glycaemic control.

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.

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.

Daily intake of macronutrients and energy in childhood and its association with cardiometabolic risk factors in Colombians

OBJECTIVES

Determine the intake and percentage of adequacy of macronutrients and their association with cardiovascular risk factors in a sample of Colombian schoolchildren.

METHODS

Cross-sectional study nested in a prospective population-based cohort in schoolchildren between 6 and 10 years of age; cardiovascular risk markers and anthropometric measures were measured. Macronutrient intake was established through a food consumption frequency questionnaire (FFQ). The percentage of adequacy was evaluated by comparison with the dietary reference intakes (DRI) and the recommendations for energy and nutrient intake (RIEN) for the Colombian population. Linear regression analysis was performed to assess the association between daily macronutrient/energy intake and cardiometabolic risk factors.

RESULTS

A total of 1,282 school children (51.09% boys and 48.91% girls; mean age 8.4 ± 1.4 years). The percentage of energy adequacy was 107% (Q1=87.5; Q3=127.2). The macronutrients in overadequacy were proteins and carbohydrates. The total fiber had a low adequacy around 26.0% (Q1=15.8; Q3=38.6). Fat intake was positively associated with BMI, insulin, and HOMA-IR index, while carbohydrate consumption was related to these same factors, although negatively in tight models.

CONCLUSIONS

Schoolchildren in this study had an inadequate protein, carbohydrate, and fiber intake. The results suggest a significant positive and negative relationship between the consumption of both fat and carbohydrates and cardiometabolic risk factors such as BMI, insulin levels, and HOMA-IR.

Associations of dietary macronutrient and fibre intake with glycaemia in individuals with Type 1 diabetes

AIMS

To study the association between dietary intake and glycaemia in Type 1 diabetes.

METHODS

Data on energy and nutrient intakes, and the mean and coefficient of variation of self-monitored blood glucose measurements were obtained from records completed by 1000 adults with Type 1 diabetes. Associations between these measures of glycaemia and dietary intake were investigated using generalized linear regression, with and without macronutrient substitution.

RESULTS

In the first set of analyses, fibre intake was associated with lower mean self-monitored blood glucose values (β = -0.428, 95% CI -0.624 to -0.231; P<0.001). In these same analyses, carbohydrate (β = 0.011, 95% CI 0.002 to 0.020; P=0.014), alcohol (β = 0.013, 95% CI 0.003 to 0.023; P=0.009) and monounsaturated fatty acid intakes (β=0.012, 95% CI 0.001 to 0.023; P=0.029) were associated with higher variability in blood glucose measurements. In the macronutrient substitution analyses, substituting proteins for either carbohydrates (β = -0.026, 95% CI -0.040 to -0.013; P<0.001), fats (β = -0.018, 95% CI -0.033 to -0.004; P=0.014), or alcohol (β = -0.026, 95% CI -0.045 to -0.006; P=0.010), or fats for carbohydrates (β=-0.009, 95% CI -0.017 to -0.001; P=0.030), were all associated with lower variability in the measured blood glucose values. After adjusting for fibre intake, no significant results were observed in analyses of mean self-monitored blood glucose.

CONCLUSIONS

This observational, cross-sectional study indicates that dietary fibre is associated with lower mean blood glucose concentrations in people with Type 1 diabetes. Glycaemic excursions were reduced when protein was substituted for other macronutrients and when fat replaced carbohydrate, after adjusting for fibre intake.

Predictive factors of non-HDL cholesterol in children and adolescents with type 1 diabetes mellitius: A cross-sectional study

AIMS

To assess predictors of non-HDL cholesterol in children and adolescents with T1DM.

METHODS

A cross-sectional study of 120 children and adolescents aged 7-16 with T1DM, but without any other chronic morbidities, at a referral outpatient clinic for the treatment of diabetes in Rio de Janeiro, Brazil. Socio-demographic, anthropometric, dietary, and clinical factors were assessed, which included measurements of serum lipids and glycated hemoglobin (HbA1c). Food intake was assessed by 24-h dietary recall. Multiple linear regression was adopted in the analysis.

RESULTS

The mean age of of the subjects was 11.74 ± 2.88 years, 53.3% were female, and the mean duration of T1DM was 6.68 ± 3.33 years. The mean energy intake from carbohydrates, proteins, and lipids was 51.98% (±9.20), 21.43% (±6.13), and 26.57% (±9.98), respectively. The energy intake from processed and ultra-processed foods represented 40.79% of total energy intake. The predictors of non-HDL cholesterol were: HbA1c (%) (p = 0.000, β = 8.5, CI: 4.8-12.1), duration of T1DM (p = 0.000, β = 2.8, CI: 1.3-4.3), and sex (p = 0.032, β = 10.1, CI: 0.9-19.4).

CONCLUSION

Glycemic control was the major modifiable predictor of non-HDL cholesterol concentrations, a significant indicator of cardiovascular risk.

Dietary patterns as a red flag for higher risk of eating disorders among female teenagers with and without type I diabetes mellitus : Adolescents with type I diabetes mellitus are a risk factor for eating disorders: a case-control study

BACKGROUND

Female adolescents with type I diabetes mellitus (TIDM) have an increased risk of developing eating disorders (ED) due to the dietary recommendations.

OBJECTIVE

Investigate the association between dietary intake and increased risk of ED.

METHODS

Case-control study with 50 T1DM female adolescents (11-16 years) and 100 healthy peers (CG). Measures included food frequency questionnaire (FFQ-PP), Child-EDE.12, economic and anthropometric data.

RESULTS

Comparing female adolescents with T1DM vs CG, the first had higher intake of: bread, cereal, rice, and pasta (29.7 vs 23.8%, p = 0.001), vegetables (6.5 vs 2.8%, p < 0.001), milk yogurt and cheese (9.9 vs 7.6%, p = 0.032), fat, and oils (8.2 vs 5.9%, p = 0.003), besides higher fiber intake (19.2 vs 14.7%, p = 0.006) and lower consumption of sweets (13.6 vs 30.7%, p < 0.001). No differences on ED psychopathology (Child-EDE subscales and global score) were found between groups. In unadjusted association between the ED psychopathology and dietary intake, a diet rich in fiber was significantly associated with both the global and eating concern scores. Among CG, increased intake of meat, poultry, fish, and eggs and decreased bread, cereal, rice, and pasta consumption were significantly associated with higher ED psychopathology. When BMI and age are adjusted, the association between fiber intake and ED psychopathology is no longer significant among diabetic participants; however, in the CG, this association remains.

CONCLUSIONS

The study suggests that an association between dietary intake and ED psychopathology might exist in female adolescents with and without TIDM and that careful evaluation of the dietary profile and risk of developing an ED should be considered in clinical practice.

LEVEL OF EVIDENCE

Level III, case-control study.

Prevalence of underweight, overweight, and obesity in children and adolescents with type 1 diabetes: Data from the international SWEET registry

OBJECTIVE

To assess the prevalence of underweight (UW), overweight (OW), and obesity in children and adolescents with type 1 diabetes (T1D).

METHODS

An international cross-sectional study including 23 026 T1D children (2-18 years, duration of diabetes ≥1 year) participating in the SWEET prospective, multicenter diabetes registry. Body mass index SD score (BMI-SDS) was calculated using the World Health Organization BMI charts. Children were categorized as UW (BMI-SDS < -2SD), OW (+1SD < BMI-SDS ≤ +2SD), and obese (OB) (BMI-SDS > +2SD). Hierarchic regression models were applied with adjustment for sex, age, and duration of diabetes.

RESULTS

The prevalence of UW, OW, and obesity was: 1.4%, 22.3%, and 7.3% in males and 0.6%, 27.2%, and 6.8% in females. Adjusted BMI-SDS was significantly higher in females than in males (mean ± SEM: 0.54 ± 0.05 vs 0.40 ± 0.05, P < 0.0001). In males, BMI-SDS significantly decreased by age (P < 0.0001) in the first three age categories 0.61 ± 0.06 (2 to <10 years), 0.47 ± 0.06 (10 to <13 years), 0.34 ± 0.05 (13 to <16 years). In females, BMI-SDS showed a U-shaped distribution by age (P < 0.0001): 0.54 ± 0.04 (2 to <10 years), 0.39 ± 0.04 (10 to <13 years), 0.55 ± 0.04 (13 to <16 years). BMI-SDS increased by diabetes duration (<2 years: 0.38 ± 0.05, 2 to <5 years: 0.44 ± 0.05, and ≥5 years: 0.50 ± 0.05, P < 0.0001). Treatment modality did not affect BMI-SDS. Adjusted HbA1c was significantly higher in females than in males (8.20% ± 0.10% vs 8.06% ± 0.10%, P < 0.0001). In both genders, the association between HbA1c and BMI-SDS was U-shaped with the highest HbA1c in the UW and obesity groups.

CONCLUSIONS

The high rate of OW and obesity (31.8%) emphasize the need for developing further strategies to prevent and treat excess fat accumulation in T1D.

Teens with Type 1 Diabetes: How Does Their Nutrition Measure Up?

OBJECTIVE

To characterize the intake of macronutrient and fiber in adolescents with type 1 diabetes (T1D) and examine their association with health indicators.

METHODS

Baseline data from an RCT were examined. Adolescent-parent dyads (n = 257, mean age 12 ± 1.2 years, 49.4% girls) reported dietary intake via two separate 24-hour recall interviews during a two-week period. Demographic and medical variables were abstracted from questionnaires and medical charts.

RESULTS

Controlling for demographic and diet variables, a higher percentage of daily energy intake from fats was associated with poorer HbA1c. In contrast, an association between higher percent of energy intake from proteins and carbohydrates was found with higher systolic and diastolic BP, respectively.

CONCLUSIONS

Many early adolescents with T1D did not meet diabetes nutritional guidelines. Lower adherence to nutritional guidelines, specifically more than recommended energy intake from fats, was associated with poorer HbA1c. Addressing nutritional guidelines and increasing adherence as part of treatment may improve health outcomes for youth with T1D.

Overweight among children and adolescent with type I diabetes mellitus: prevalence and associated factors

OBJECTIVES

Describe the overweight frequency (overweight and obesity) and identify the factors associated with this in children and adolescents with type 1 diabetes mellitus (T1DM) treated at a University Children's Hospital in Rio de Janeiro.

METHODS

This is an analytical cross-sectional study, which included patients diagnosed with T1DM who had complete anthropometric data (weight and height) and excluded those using drugs with effect on weight gain, genetic syndromes, celiac disease, hypothyroidism, renal failure and other chronic diseases, and pregnant women. The data collection was referring to the last consultation, and with respect to laboratory tests, the most recent data was collected. The dependent variable was the overweight, defined as Z score ≥1. The independent variables were gender, age, insulin dose, duration of disease, lipid profile, glycated hemoglobin, type of prescribed food planning, and place of residence. A logistic regression model was built for each outcome studied, considering significant associations those with p < 0.05.

RESULTS

The study included 195 patients with a mean age of 10.6 (±3.8) years, and 49.7 % (n = 97) aged less than 10 years. The overweight frequency was 40 % (n = 78). The age ≥10 years (OR 0.41; 95 % CI 0.20-0.86; p = 0.019) and the dose of insulin/kg ideal weight (OR 3.38; 95 % CI 1:55-7:39; p = 0.002) were considered the variables associated with overweight.

CONCLUSIONS

There was a high prevalence of overweight, which explains strategies for promoting healthy eating habits and changing lifestyle with a focus on children and adolescents with diabetes.

Greater diet quality is associated with more optimal glycemic control in a longitudinal study of youth with type 1 diabetes

BACKGROUND

Despite the centrality of nutrition in the management of type 1 diabetes, the association of diet quality and macronutrient distribution with glycemic control is ambiguous.

OBJECTIVE

This study examined longitudinally the association of dietary intake with multiple indicators of glycemic control in youth with type 1 diabetes participating in a behavioral nutrition intervention study.

DESIGN

Participants in a randomized clinical trial of a behavioral nutrition intervention [n = 136; mean ± SD age: 12.8 ± 2.6 y; glycated hemoglobin (HbA1c): 8.1% ± 1.0%; 69.1% using an insulin pump] completed 3-d diet records at baseline and months 3, 6, 9, 12, and 18; masked continuous glucose monitoring (CGM) data were obtained concurrently with the use of the Medtronic iPro CGM system. HbA1c was obtained every 3 mo; 1,5-anhydroglucitol was obtained every 6 mo. Linear mixed-effects regression models estimated associations of time-varying dietary intake variables with time-varying glycemic control indicators, controlling for age, height, weight, sex, Tanner stage, diabetes duration, regimen, frequency of blood glucose monitoring, physical activity, and treatment assignment.

RESULTS

HbA1c was associated inversely with carbohydrate and natural sugar, and positively with protein and unsaturated fat. 1,5-Anhydroglucitol was associated positively with fiber intake and natural sugar. Greater glycemic control as indicated by ≥1 CGM variable was associated with higher Healthy Eating Index-2005, whole plant food density, fiber, carbohydrate, and natural sugar and lower glycemic index and unsaturated fat.

CONCLUSIONS

Both overall diet quality and macronutrient distribution were associated with more optimal glycemic control. Associations were more consistent for CGM variables obtained concurrently with dietary intake than for biomarkers of longer-term glycemic control. These findings suggest that glycemic control may be improved by increasing intake of high-fiber, low glycemic-index, carbohydrate-containing foods. This trial was registered at clinicaltrials.gov as NCT00999375.

Lipoprotein subfraction cholesterol distribution is more atherogenic in insulin resistant adolescents with type 1 diabetes

AIMS/HYPOTHESIS

Adolescents with type 1 diabetes (T1D) often have a less atherogenic-appearing fasting lipid profile than controls, despite increased rates of cardiovascular disease (CVD) as adults. We previously reported an atherogenic lipoprotein subfraction cholesterol distribution associated with insulin resistance (IR) in T1D adults. We sought to determine if T1D youth have more atherogenic profile than controls via a cross-sectional study.

METHODS

Following 3 days of controlled diet and restricted exercise, fasting plasma samples were drawn from 28 T1D youth [50% female, age 15.3 ± 2 yr, body mass index (BMI) 48%ile; diabetes duration 73 ± 52 months, hemoglobin A1c (HbA1c) 8.3 ± 1.4%] and 17 non-diabetic controls (47% female, age: 15.0 ± 2 yr, BMI 49%ile) prior to a hyperinsulinemic euglycemic clamp. Lipoproteins were fractionated by fast protein liquid chromatography (FPLC) and lipoprotein cholesterol distribution determined. Outcome measures were IR assessed by glucose infusion rate (GIR) and FPLC lipoprotein subfraction cholesterol distribution.

RESULTS

T1D youth were more IR (GIR 9.1 ± 3.6 vs. 14.7 ± 3.9 mg/kg/min, p < 0.0001) and had more cholesterol distributed as small dense low density lipoprotein-cholesterol (LDL-C) and less as large buoyant high density lipoprotein-cholesterol (HDL-C) than controls (p < 0.05), despite no differences in the fasting lipid panel. T1D girls lacked the typical female less-atherogenic profile, whereas control girls tended to have a shift toward less dense LDL-C and HDL-C vs. control boys. Among T1D, IR but not HbA1c was associated with a more atherogenic lipoprotein profile.

CONCLUSIONS/INTERPRETATIONS

Normal weight T1D youth, especially females, had more atherogenic LDL-C and HDL-C distributions which correlated with lower insulin sensitivity. IR may contribute to the increased CVD burden in T1D.

Obesity in Youth with Type 1 Diabetes in Germany, Austria, and the United States

OBJECTIVE

To examine the current extent of the obesity problem in 2 large pediatric clinical registries in the US and Europe and to examine the hypotheses that increased body mass index (BMI) z-scores (BMIz) are associated with greater hemoglobin A1c (HbA1c) and increased frequency of severe hypoglycemia in youth with type 1 diabetes (T1D).

STUDY DESIGN

International (World Health Organization) and national (Centers for Disease Control and Prevention/German Health Interview and Examination Survey for Children and Adolescents) BMI references were used to calculate BMIz in participants (age 2-<18 years and ≥ 1 year duration of T1D) enrolled in the T1D Exchange (n = 11,435) and the Diabetes Prospective Follow-up (n = 21,501). Associations between BMIz and HbA1c and severe hypoglycemia were assessed.

RESULTS

Participants in both registries had median BMI values that were greater than international and their respective national reference values. BMIz was significantly greater in the T1D Exchange vs the Diabetes Prospective Follow-up (P < .001). After stratification by age-group, no differences in BMI between registries existed for children 2-5 years, but differences were confirmed for 6- to 9-, 10- to 13-, and 14- to 17-year age groups (all P < .001). Greater BMIz were significantly related to greater HbA1c levels and more frequent occurrence of severe hypoglycemia across the registries, although these associations may not be clinically relevant.

CONCLUSIONS

Excessive weight is a common problem in children with T1D in Germany and Austria and, especially, in the US. Our data suggest that obesity contributes to the challenges in achieving optimal glycemic control in children and adolescents with T1D.

Overweight and Obesity Based on Four Reference Systems in 18,382 Paediatric Patients with Type 1 Diabetes from Germany and Austria

AIM

To evaluate the prevalence of overweight and obesity in paediatric type 1 diabetes (T1D) subjects, based on four commonly used reference populations.

METHODS

Using WHO, IOTF, AGA (German pediatric obesity), and KiGGS (German Health Interview and Examination Survey for Children and Adolescents) reference populations, prevalence of overweight (≥90th percentile) and obesity (≥97th percentile) and time trend between 2000 (n = 9,461) and 2013 (n = 18,382) were determined in 2-18-year-old T1D patients documented in the German/Austrian DPV database.

RESULTS

In 2000, the overweight prevalence was the highest according to IOTF (22.3%), followed by WHO (20.8%), AGA (15.5%), and KiGGS (9.4%). The respective rates in 2013 were IOTF (24.8%), WHO (22.9%), AGA (18.2%), and KiGGS (11.7%). Obesity prevalence in 2000 was the highest according to WHO (7.9%), followed by AGA (4.5%), IOTF (3.1%), and KiGGS (1.8%). In 2013, the respective rates were WHO (9.6%), AGA (6.2%), IOTF (4.5%), and KiGGS (2.6%). Overall, the prevalence of overweight and obesity increased from 2000 to 2006 (p < 0.001) but showed stabilization thereafter in girls and overweight in boys.

CONCLUSION

Overweight and obesity prevalence in T1D subjects differs significantly if it is assessed by four separate reference populations. More detailed assessment of each child is required to determine obesity-related risks.

Predictors of increasing BMI during the course of diabetes in children and adolescents with type 1 diabetes: data from the German/Austrian DPV multicentre survey

OBJECTIVE

Increased weight gain has been reported prior to disease onset (accelerator hypothesis) and as a side effect of intensified insulin therapy in type 1 diabetes (T1D). Paediatric studies are complicated by the age-dependency and gender-dependency of BMI, and also by a trend towards obesity in the general population. The aim of this study was to evaluate factors related to the increase in BMI during the course of diabetes in children and adolescents with T1D in a large multicentre survey.

DESIGN

Within the DPV database (Diabetespatienten Verlaufsdokumentation) a standardised, prospective, computer-based documentation programme, data of 53,108 patients with T1D, aged <20 years, were recorded in 248 centres. 12,774 patients (53% male, mean age 13.4±3.9, mean diabetes duration 4.7±3.0 years and mean age at diabetes onset 8.7±4.0 years) were included in this analysis. Population-based German reference data were used to calculate BMI-SDS and define overweight and obesity.

RESULTS

12.5% of T1D patients were overweight and 2.8% were obese. Multiple longitudinal regression analysis revealed that female gender, low BMI at diabetes onset, intensified insulin therapy and higher insulin dose, as well as pubertal diabetes onset, long diabetes duration and onset in earlier calendar years among girls, were related to higher BMI-SDS increase during the course of diabetes (p<0.01; all).

CONCLUSIONS

Intensified insulin regimen is associated with weight gain during T1D treatment, in addition to demographic variables. Optimisation of diabetes management, especially in females, might limit weight gain in order to reduce overweight and obesity together with comorbidities among paediatric T1D patients.