Diet, physical, and biochemical characteristics of children and adolescents with type 1 diabetes: relationship between dietary fat and glucose control

Exploring the effect of adhering to a healthy lifestyle pattern on glycemic control in adults with type 1 diabetes mellitus

BACKGROUND AND AIMS

Diet, physical activity, sleep and smoking have been individually associated with glycemic control (GC) in adults with type 1 diabetes mellitus (T1D). However, the combined effect of these factors has not been investigated. The aim of the present study was to examine the single and combined effects of lifestyle parameters on GC of people with T1D (PwT1D).

METHODS AND RESULTS

Dietary, physical activity and sleep habits were evaluated using validated questionnaires. Diet quality was assessed with two scores (MedDietScore and PURE Diet Score) and two healthy lifestyle indices (HLI) were constructed (MLI based on MedDietScore and PLI based on PURE score). The score of both HLI ranged from 0 to 12 with higher scores indicating greater adherence to the healthy lifestyle pattern. One hundred ninety-two adults [61 % female, median age 42 (34, 51) years] with T1D were included in the analysis. Good GC (defined as HbA1c<7 %) was observed in 31 % of study participants. Examining lifestyle components separately, only smoking was marginally inversely associated with good GC [odds ratio (OR): 0.48, (95 % confidence interval, CI:0.23-1.00; p = 0.050)]. Individuals with better GC had significantly higher HLI scores (both p < 0.05). After adjusting for age, sex, body mass index, wearing an insulin pump and using continuous glucose monitoring, one-unit increase in the PLI was associated with 16 % higher likelihood of good GC (OR:1.16, 95 % CI:1.01-1.35, p = 0.04) and a similar trend was recorded for MLI (p = 0.05).

CONCLUSION

Our results suggest that adherence to a healthy lifestyle, more so than single lifestyle parameters, is associated with better GC in PwT1D.

Nutritional Guidelines for Patients with Type 1 Diabetes Mellitus and its Adherence- A Narrative Review

Nutritional guidelines are of importance in directing food choices of T1D patients. The objective is to summarise existing nutritional recommendations and examine its adherence by T1D patients. Literature was searched on dietary guidelines in T1D using electronic databases PubMed, Science Direct, Scopus, Google Scholar, in English and 29 papers were selected. As per ADA, EASD, ISPAD, and ICMR guidelines, energy recommendations for T1D are based on ideal body weight to prevent overweight and obesity. The safe amounts of carbohydrates, protein and fat includes 50-55%, 15-20% and 25-30% of total energy respectively with fiber intake recommended at 20-30 g/day. Vitamin and mineral supplementation are beneficial in the presence of deficiency. Adherence to nutritional recommendations was suboptimal but better in those who were frequently consulting a dietician. As suboptimal dietary adherence leads to poor glycaemic control, nutritional guidelines must be followed to manage T1D and prevent or delay diabetic complications.

Assessment of Nutrients Intake in Pediatrics with Type 1 Diabetes and Dyslipidemia in Jordan

Background

Dyslipidemias are disorders of lipoprotein metabolism that occur during childhood and adolescence, often persist into adulthood, and increase the risk of developing atherosclerotic lesions. This study aimed to assess the potential association between nutrient intake and dyslipidemia in Jordanian pediatric patients diagnosed with type 1 diabetes mellitus.

Methods

This cross-sectional study was conducted in Amman, Jordan, and involved 90 children and adolescents diagnosed with type 1 diabetes mellitus. Caregivers provided the following data: sex, age, type and dose of insulin, age at onset of type 1 diabetes, and level of physical activity. Anthropometric measurements were obtained using calibrated scales, and CDC growth charts were used to assess participants' body weight status. Nutrient intake was estimated using a 120-item food frequency questionnaire (FFQ) previously validated in Jordanian children and adolescents. Serum lipid levels, including total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C), were measured. Binary logistic regression was used to assess the relationship between nutrient intake and dyslipidemia.

Results

The results indicated that 36.7% of study participants had dyslipidemia. There were no significant differences in nutrient intake between dyslipidemic and normolipidemic individuals, except for a significantly higher median intake of vitamin B12 in the dyslipidemic group compared to the normolipidemic group (3.6 versus 2.7 µg, P-value = 0.046).

Conclusion

This study found no significant association between the prevalence of dyslipidemia and nutrient intake in children and adolescents diagnosed with type 1 diabetes mellitus.

A Risk Profile for Disordered Eating Behaviors in Adolescents with Type 1 Diabetes: A Latent Class Analysis Study

(1) Background: This multi-center study aimed to identify a risk profile for disordered eating behaviors (DEBs) in youth with type 1 diabetes (T1D) based on their dietary intake, lipid profile, body mass index (BMI-SDS), and glycometabolic control. (2) Methods: Adolescents aged 11 to 18 years from five centers across Italy were recruited. Lipid profile, HbA1c, BMI-SDS, and dietary intake data were collected. The risk for developing DEBs was assessed via the Diabetes Eating Problems Survey-R (DEPS-R) questionnaire. A latent class analysis (LCA) was performed using a person-centered approach. (3) Results: Overall, 148 participants aged 11–18 (12.1, ±3.34), 52% males with a mean diabetes duration of 7.2 (±3.4), were enrolled. Based on the results of the DEBS-R score, LCA allowed us to highlight two different classes of patients which were defined as “at-risk” and “not at-risk” for DEB. The risk profile for developing DEBs is characterized by higher BMI—SDS (23.9 vs. 18.6), higher HbA1c (7.9 vs. 7.1%), higher LDL cholesterol (99.9 vs. 88.8 mg/dL), lower HDL cholesterol (57.9 vs. 61.3 mg/dL), higher proteins (18.2 vs. 16.1%), and lower carbohydrates (43.9 vs. 45.3%). Adolescents included in the “at-risk” class were significantly older (p = 0.000), and their parents’ SES was significantly lower (p = 0.041). (4) Conclusions: This study allowed us to characterize a risk profile for DEBs based on dietary behavior and clinical parameters. Early identification of the risk for DEBs allows timely intervention and prevention of behavior disorders.

Effectiveness of medical nutrition therapy in adolescents with type 1 diabetes: a systematic review

BACKGROUND

Medical nutrition therapy (MNT) has an integral role in overall diabetes management. During adolescence, consideration of physiological and psychosocial changes is essential for implementing an optimal diabetes treatment.

OBJECTIVES

Our aim was to identify, summarize, and interpret the published literature about MNT in adolescents with type 1 diabetes.

METHODS

The Medline (PubMed) and EMBASE databases were searched from January 1959 to December 2021. The inclusion criteria were interventional studies with MNT in adolescents with type 1 diabetes with a disease duration over 1 year, including the following outcomes: dietary intake and daily eating patterns (assessed with validated tools, two or more 24 h dietary recall or 3-day dietary records), the diabetes self-management education and support (DSMES), glycemic control, lipid profile and body mass index (BMI). The exclusion criteria were studies without a control group (except for pre-post studies), the lack of randomization and those studies that assessed only a single nutrient, food or meal consumption, as well as reviews, and in-vitro/in-vivo studies. The risk of bias assessment was performed using the Cochrane risk-of-bias tool for randomized trials. A narrative synthesis was performed to present the results. The quality of evidence was assessed with the GRADE guidance.

RESULTS

From a total of 5377 records, 12 intervention studies (9 RCT and 3 pre-post intervention studies) were included. The data were assessed in order to perform a meta-analysis; however, the studies were too heterogeneous. The studies showed conflicting results about the effectiveness of MNT on dietary pattern, DSMES, glycemic control, lipid profile and BMI.

CONCLUSIONS

Clinical research studies on the effectiveness of MNT in adolescents with type 1 diabetes are scarce. The limited number of studies with a high risk of bias precludes establishing robust conclusions on this issue. Further research is warranted.

Assessment for Predictors of Rise in Hemoglobin A1c During Extended Use of a Closed-Loop Control System

We assessed predictors of rising hemoglobin A1c (HbA1c) during long-term use of closed-loop control (CLC) in children aged 6-13 years with type 1 diabetes. Participants used a CLC system during a 16-week randomization phase followed by a 12-week extension phase. We compared an "Increased-HbA1c" group (n = 17, ≥0.5% rise in HbA1c between randomization and extension phases) to a "Maintained-Improvement" group (n = 18, had stable or improved HbA1c). The Increased-HbA1c group had higher pre-CLC HbA1c (8.42% ± 0.80 vs. 7.45% ± 0.93, P = 0.002). Contrary to a-priori hypotheses, there were no differences in Δ-height-for-age z-score, a surrogate for a pubertal growth spurt (+0.16 vs. -0.15, P = 0.113), or number of carbohydrate boluses per day, a surrogate for missed boluses (4.4 ± 2.2 vs. 5.2 ± 2.1, P = 0.263). Both groups maintained high rates in closed-loop. Thus, some children exhibit meaningful rise in HbA1c after initial CLC use, likely from multiple contributing factors, and may benefit from added encouragement during ongoing use.

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.

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.

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.

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.

Prevalence of Metabolic Syndrome in Children and Adolescents with Type 1 Diabetes Mellitus and Possibilities of Prevention and Treatment: A Systematic Review

Overweight and obesity are an increasingly common problem, not only among the healthy population, but also in adolescents with type 1 diabetes (T1DM). Excess body weight is related to many cardiometabolic complications as well as a high risk of metabolic syndrome (MetS). The purpose of this systematic review is to provide a concise and critical overview of the prevalence of MetS in children and adolescents with T1DM and, ultimately, to discuss prevention and treatment options. The study was conducted in accordance with PRISMA guidelines. This review shows that, apart from the growing percentage of overweight and obese children and adolescents with T1DM (on average 20.1% and 9.5%, respectively), the problem of the increasing incidence of MetS (range from 3.2 to 29.9%, depending on the criteria used) is one of the most important phenomena of our time. One of the methods of prevention and treatment is a combined approach: changing eating habits and lifestyle, but there are also reports about the beneficial effects of the gut microflora.

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.

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.

Australian children with type 1 diabetes consume high sodium and high saturated fat diets: Comparison with national and international guidelines

AIM

We aimed to evaluate the diets of children with type 1 diabetes (T1D) against recommended Australian dietary intakes and international T1D guidelines and compare them to children without T1D.

METHODS

A cross-sectional analysis in 143 children (103 children aged 8-18 years with T1D and 40 age- and gender-matched controls) and longitudinal analysis at 0, 3, 6 and 12 months in 90 T1D children were conducted. Diet was assessed using an Australian validated food frequency questionnaire. Diet quality was assessed against recommended servings and nutrient intakes from Australian Dietary Guidelines and International Society for Pediatric and Adolescent Diabetes (ISPAD) Nutritional Guidelines.

RESULTS

Diet was evaluated in 478 questionnaires. Diet composition did not differ between T1D and controls, and both groups did not meet the majority of the Australian Dietary Guidelines, except for fruit intake. The majority of T1D children and controls (80-83%) were overconsuming sodium (2837 ± 848 mg/day), discretionary foods (5.9 ± 2.5 serves/day) and saturated fat and trans fatty acids (13.1 ± 2.7% of total daily energy intake) in comparison with Australian and ISPAD guidelines. A total of 84% of T1D children and controls achieved the recommended intake of fibre (34.4 ± 11.0 g/day). Longitudinal analysis in children with T1D showed that total daily energy, macronutrient, micronutrient and food group servings intake did not change over the 12 months. Overconsumption of sodium, discretionary foods and saturated fat persisted over the 12-month study period.

CONCLUSIONS

The majority of Australian children, with and without T1D, is not meeting recommended dietary guidelines. Significant overconsumption of sodium, saturated fat and discretionary foods attracts the most concern.

Improved adherence to Mediterranean Diet in adults with type 1 diabetes mellitus

PURPOSE

We aimed to assess food intake and adherence to the Mediterranean Diet in patients with T1D compared with nondiabetic individuals.

METHODS

This was an observational, multicenter study in 262 T1D subjects and 254 age- and sex-matched nondiabetic subjects. A validated food-frequency questionnaire was administered. The alternate Mediterranean Diet Score (aMED) and alternate Healthy Eating Index (aHEI) were assessed. The clinical variables were also collected. The analysis of data included comparisons between groups and multivariate models.

RESULTS

Compared to the controls, the patients with T1D had a higher intake of dairy products (p < 0.001), processed meat (p = 0.001), fatty fish (p = 0.009), fruits and vegetables (p < 0.001), nuts (p = 0.011), legumes (p < 0.001), potatoes (p = 0.045), and bread (p = 0.045), and a lower intake of seafood (p = 0.011), sweets (p < 0.001), and alcohol drinks (p = 0.025). This intake pattern resulted in a higher consumption of complex carbohydrates (p = 0.049), fiber (p < 0.001), protein (p < 0.001), polyunsaturated fatty acids (PUFA) (p = 0.007), antioxidants (p < 0.001), vitamins (p < 0.001), and minerals (p < 0.001). The frequency of patients with T1D and low aMED score (23.2%) was lower than that of the controls (35.4%; p = 0.019). The overall multivariate analysis showed that, among other factors, being a T1D subject was associated with improved aMED and aHEI scores (p = 0.006 and p < 0.001). In patients with T1D, residing in a nonurban area was associated with improved aMED and aHEI scores (p = 0.001 and p < 0.001).

CONCLUSIONS

Adult patients with T1D showed healthier dietary habits and a higher adherence to the Mediterranean Diet than nondiabetic subjects. Residing in a nonurban area is associated with an improved dietary pattern.

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.

Predictor factors of glycemic control in children and adolescents with type 1 diabetes mellitus treated at a referral service in Rio de Janeiro, Brazil

AIM

To evaluate the predictive factors of glycemic control in children and adolescents with type 1 diabetes mellitus (T1DM).

METHODS

Cross-sectional study at a referral service in Rio de Janeiro, Brazil. Sociodemographic, anthropometric, clinical, and dietary factors were evaluated. Food consumption was evaluated by 24 h dietary recall and the NOVA system was adopted for classifying the foods according to the extent and purpose of industrial processing. The predictive factors were evaluated by multivariate linear regression, adopting p < 0.05.

RESULTS

One hundred and twenty children and adolescents participated, with a mean age of 11.74 years (±2.88) and HbA1c of 8.13% (±1.26). The mean diabetes duration was 6.68 years (±3.33) and the insulin used was 1.05 units per kilogram of ideal weight (IU/kg of ideal weight; ±0.46) About 80% (n = 96) used carbohydrate counting and it was verified that 24.27% (±17.89) of the participants' total calories came from ultraprocessed foods. For each year of diagnosis with T1DM and for each IU/kg of weight used, HbA1c increased by 0.087% (β = 0.087, p = 0.007) and 0.651%, respectively (β = 0.651; p = <0.001). Use of carbohydrate counting was associated with a 1.058% reduction in HbA1c (β = -1.058; p = 0.001).

CONCLUSION

Disease duration and insulin dose were directly reflected in HbA1c concentrations, while carbohydrate counting showed an inverse association.

Analysis of the diet quality and dietary habits of children and adolescents with type 1 diabetes

INTRODUCTION

The dietary habits of patients with type 1 diabetes are key elements of treatment as they facilitate the normalization of glycemia and maintenance of normal body weight (BW), lipid concentration, and the level of blood pressure. Therefore, the aim of this study was to analyze dietary habits and to verify the influence of the quality of diet on insulin dosage and selected clinical variables.

MATERIALS AND METHODS

The study included 194 subjects (8-18 years old) suffering from type 1 diabetes and treated with the use of insulin pump. A modified KomPAN questionnaire was used to assess dietary habits and the frequency of the consumption of selected products. Two groups of patients were distinguished: G1 (poorer quality of diet) and G2 (better quality of diet). Clinical data were also collected.

RESULTS

Very low scores were noted in the whole study group as regards the index of healthy diet (27.6±11.1, 3.8-61.0). After dividing the participants into groups, it was observed that G1 included more boys (63.8%), and more girls were found in G2 (66.9%). G2 patients chose sweet and salty snacks and fried meals less frequently, and they consumed boiled dishes and avoided sweetening with sugar or honey more frequently. The following characteristics were observed in G1 patients: longer duration of the disease (6.5 vs 5.2 years), higher doses of insulin (0.86 vs 0.76 U/kg of BW/day), and being overweight (31.0% vs 17.6%) and underweight (19.0% vs 8.8%) noted twice more frequently. We did not observe differences concerning the concentration of glycated hemoglobin and lipids in the serum and the values of blood pressure.

CONCLUSION

The findings revealed unsatisfactory dietary habits in children and adolescents with type 1 diabetes and indicated the necessity to analyze additional factors that might influence the quality of diet of the patients.

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.

Achieving target levels for vascular risk parameters in Polish school-age children with type 1 diabetes - a single center study

Background Therapeutic goals have been established to decrease the risk of long-term complications of type 1 diabetes (T1DM). The effects of these guidelines should be constantly evaluated. Hence, the present study examines the frequency at which children with T1DM treated by one of the Polish reference centers complied with the therapeutic targets issued in 2014 by the International Society for Pediatric and Adolescent Diabetes (ISPAD) and by the Diabetes Poland (PTD). Methods A retrospective analysis (years 2011-2014) was performed in patients with T1DM aged 6.5-18 years, with diabetes duration >12 months and no change of insulin regimen within 6 months. Collected data included insulin therapy regimen, weight, height, blood pressure, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), triglycerides (TG) and glycated hemoglobin (HbA1c) level from the last hospitalization. Results The records of 447 patients (260 boys, 299 treated with insulin pump) were analyzed. All ISPAD goals were achieved by 123 (27.5%) patients, but only 43 (9.6%) met all PTD targets. Optimal HbA1c was achieved by 224 (50.1%) according to ISPAD criteria (HbA1c<7.5%) and by 87 (19.6%) patients according to PTD (HbA1c≤6.5%). Obesity was diagnosed in 11.6% of the patients; 19.7% of the patients were overweight. In logistic regression, patient age was the only independent predictor of failing to achieve complete T1DM control (p=0.001, OR=1.12 [1.05-1.23]) and optimal HbA1c (p=0.01, OR=1.1 [1.0-1.2]) according to ISPAD guidelines. Moreover, girls had a greater risk of failing body mass index (BMI) targets (PTD: p=0.002, OR=2.16; ISPAD: p=0.0001, OR=3.37) and LDL-C targets (p=0.005, OR=1.8) than boys. Conclusions Overall, control of vascular risk factors in Polish children with T1DM is unsatisfactory. While too few children are achieving the HbA1c target set by PTD, it is possible that such strict national target helps half of the Polish school-age patients achieve ISPAD-issued aim which is more liberal. High prevalence of overweight among children with T1DM warrants initiatives focused not only on glycemic control but also on motivation of patients to lead a healthy lifestyle.

Does sucrose affect the glucose variability in patients with type 1 diabetes? a pilot crossover clinical study

OBJECTIVE

The aim of this study was to compare the effects of a sucrose-free diet with a sucrose-added diet on glucose variability in patients with type 1 diabetes.

METHODS

This was a two-way crossover design study in which patients with type 1 diabetes were monitored by blinded continuous glucose monitoring and were selected to receive a sucrose-free diet (<30 g/d), followed by a sucrose-added diet (>80 g/d) for 2 d each. Intra-day glucose variability was assessed by the mean amplitude of glycemic excursions (MAGE), the M-value, J-index, glycemic risk assessment in diabetes equation (GRADE), and continuous overlapping net glycemic action (CONGA_1-3). Between-day variability was determined by mean of daily difference (MODD). Statistical analyses were performed with a significance level of 5%.

RESULTS

Ten patients with type 1 diabetes were evaluated. The participants were a mean of 26.1 ± 7.1 y of age. The mean duration of disease was 16.5 ± 10.5 y, and patients' mean glycated hemoglobin was 7.4% ± 0.8%. The intra- and inter-day glucose variability indexes did not differ between the diet periods (MAGE: 10.2 ± 5.1 and 10.4 ± 6.8mmol/L, P = 0.98; M-value: 12.9 ± 2 and 15.6 ± 1.3mmol/L, P = 0.29; J-index: 50.9 ± 4.4 and 57.7 ± 3.3mmol/L, P = 0.41; GRADE: 7.2 ± 1 and 4.7 ± 5.3mmol/L, P = 0.07; and MODD: 3.9 ± 1 and 4.3 ± 1.5mmol/L, P = 0.28; for the sucrose-free and sucrose-added diets, respectively). CONGA_1-3 were similar for both diet periods (P > 0.05).

CONCLUSIONS

The use of a moderate amount of sucrose, as part of a balanced diet, did not affect the glucose variability or insulin requirements in patients with type 1 diabetes.

Diabetes in Childhood and Adolescence

BACKGROUND

The incidence of type 1 diabetes mellitus in childhood and adolescence is steadily rising and now stands at 22.9 new cases per year per 100 000 persons up to age 15.

METHODS

This review is based on pertinent publications retrieved by a selective literature search, with special attention to the current German S3 guideline on diabetes in childhood and adolescence.

RESULTS

Polydipsia, polyuria, and weight loss are the characteristic presenting symptoms of diabetes mellitus. The acutely presenting patient needs immediate stabilization because of the danger of rapid metabolic decompensation (risk of keto - acidosis, 21.1%). Long-term insulin therapy can be delivered either by subcutaneous injection or by an insulin pump. The goals of treatment are the near-normalization of glucose metabolism (HbA1c <7.5%), the avoidance of acute complications (hypoglycemia and ketoacidosis), the reduction of diabetes-specific sequelae (retinopathy, nephropathy, neuropathy, hypertension, and hyperlipidemia), unrestricted participation in age-appropriate everyday activities, and normal physical and psychosocial development. Children and adolescents with diabetes need individualized treatment with frequent adjustments and holistic overall care so that these goals can be effectively met.

CONCLUSION

Every physician must be able to diagnose the initial presentation of diabetes and to initiate the first steps in its management. The patient should be referred as soon as possible to a diabetes team that has experience in the treatment of children and adolescents.

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.

Glucose-independent association of adiposity and diet composition with cardiovascular risk in children and adolescents with type 1 diabetes

AIMS

To test the hypothesis that diet composition, adiposity and glycometabolic control could independently contribute to an increase in the cardiovascular risk (CVR) for children/adolescents with type 1 diabetes (T1D).

METHODS

One hundred and eighty children/adolescents with T1D (age range 5-18 years) were enrolled. Diet (3-day weighed dietary record), physical (height, weight, waist circumference, bioelectrical impedance analysis) and biochemical (HbA1c, lipid profile) parameters were recorded. Regression models, using non-HDL cholesterol (a gross index of CVR) as the dependent variable and HbA1c (mmol/mol), fat mass (FM) %, lipid-to-carbohydrate intake ratio as independent ones, were calculated.

RESULTS

Non-HDL cholesterol was significantly associated with adiposity (FM%; r = 0.27, 95% CI 0.13-0.43), body fat distribution (waist-to-height ratio; r = 0.16, 95% CI 0.02-0.31), lipid intake [% of energy intake (EI)] (r = 0.25, 95% CI 0.11-0.41), carbohydrate intake (% EI; r = -0.24, 95% CI 0.10-0.40), lipid-to-carbohydrate intake ratio (r = 0.26, 95% CI 0.12-0.42) and blood glucose control (HbA1c; r = 0.24, 95% CI 0.10-0.40). A p value cutoff of 0.10 was used for covariates to be included in the regression analysis. Multiple regression analysis showed that adiposity (FM%), blood glucose control (HbA1c) and lipid-to-carbohydrate intake ratio independently contributed to explaining the inter-individual variability of non-HDL cholesterol (R ² = 0.163, p < 0.05).

CONCLUSIONS

Adiposity and lipid-to-carbohydrate intake ratio affect non-HDL cholesterol, a gross index of CVR, regardless of HbA1c, in children and adolescents with T1D. Intervention to reduce CVR in T1D patients should focus not only on glycometabolic control but also on adiposity and diet composition.

Bias in food intake reporting in children and adolescents with type 1 diabetes: the role of body size, age and gender

BACKGROUND

An assessment of total daily energy intake is helpful in planning the overall treatment of children with type 1 diabetes (T1D). However, energy intake misreporting may hinder nutritional intervention.

AIMS

To assess the plausibility of energy intake reporting and the potential role of gender, body mass index (BMI) z-score (z-BMI), disease duration and insulin requirement in energy intake misreporting in a sample of children and adolescents with T1D.

METHODS

The study included 58 children and adolescents aged 8-16 yr with T1D. Anthropometry, blood pressure and glycated hemoglobin (HbA1c) were measured. Subjects were instructed to wear a SenseWear Pro Armband (SWA) for 3 consecutive days, including a weekend day and to fill out with their parents a weighed dietary record for the same days. Predicted energy expenditure (pEE) was calculated by age and gender specific equations, including gender, age, weight, height and physical activity level (assessed by SWA). The percent reported energy intake (rEI)/pEE ratio was used as an estimate of the plausibility of dietary reporting.

RESULTS

Misreporting of food intake, especially under-reporting, was common in children and adolescents with T1D: more than one-third of participants were classified as under-reporters and 10% as over-reporters. Age, z-BMI and male gender were associated with the risk of under-reporting (model R²  = 0.5). Waist circumference was negatively associated with the risk of over-reporting (model R²  = 0.25).

CONCLUSIONS

Children and adolescents with T1D frequently under-report their food intake. Age, gender and z-BMI contribute to identify potential under-reporters.

Body fat measurement in adolescent girls with type 1 diabetes: a comparison of skinfold equations against dual-energy X-ray absorptiometry

Aim

Skinfold measurement is an inexpensive and widely used technique for assessing the percentage of body fat (%BF). This study assessed the accuracy of prediction equations for %BF based on skinfold measurements compared to dual‐energy X‐ray absorptiometry (DXA) in girls with type 1 diabetes and healthy age‐matched controls.

Methods

We included 49 healthy girls and 44 girls with diabetes aged 12–19 years old, comparing the predicted %BF based on skinfold measurements and the %BF values obtained by a Lunar DPX‐L scanner. The agreement between the methods was assessed using an Bland–Altman plot.

Results

The skinfold measurements were significantly higher in girls with diabetes (p = 0.003) despite a nonsignificant difference in total %BF (p = 0.1). A significant association between bias and %BF was found for all tested equations in the Bland–Altman plots. Regression analysis showed that the association between skinfold measurements and %BF measured by DXA differed significantly (p = 0.039) between the girls with diabetes and the healthy controls.

Conclusion

The accuracy of skinfold thickness equations for assessment of %BF in adolescent girls with diabetes is poor in comparison with DXA measurements as criterion. Our findings highlight the need for the development of new prediction equations for girls with type 1 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.

Protein Intake as a Risk Factor of Overweight/Obesity in 8- to 12-Year-Old Children

Several studies investigating the relationship between body mass index (BMI), waist circumference (WC), and/or body fat (BF) with macronutrient composition of the diet have suggested that dietary composition may play an important role to overweight/obesity in childhood, but its relation remains inconclusive. The aim was to assess the association between energy intake (EI) and macronutrient diet composition with overweight/obesity among children.Nonrandomized cohort study including 396 Italian children and preadolescents (9-13 years old), 200 overweight/obese and 196 normal-weight. The children's weight, height, WC, and food intake were measured.Reported EI was higher in overweight/obese than in nonoverweight children; however, after body weight was considered, the overweight/obese children had less EI than their leaner counterparts. Percentages of EI from proteins, SFA, MUFA and PUFA (in males), and dietary fiber (g/1000 kcal) were higher in the overweight/obese children than in the leaner ones. EI from carbohydrates and fats was lower in overweight/obese males and females, respectively. Positive correlations between BMI and waist-to-height ratio with EI from proteins were found in males (r = 0.296, P < 0.01 and r = 0.326, P < 0.01; respectively) and females (r = 0.374, P < 0.01 and r = 0.405, P < 0.01; respectively), but negative correlations with fats were found in females (r = -0.240, P < 0.01 and r = -0.188, P < 0.05; respectively). Using binary logistic regression, the highest EI from proteins were associated with higher odds ratio for overweight/obesity, while the lowest EI from carbohydrates was associated with higher odds ratio for overweight/obesity in males.Reported EI of overweight/obese children was higher than nonoverweight peers. Overweight/obese children had higher intakes of proteins compared with nonoverweight ones. Overweight/obese males and females showed lower EI from carbohydrates and fats, respectively, than their leaner counterparts.

Association of diet and lifestyle with glycated haemoglobin in type 1 diabetes participants in the EURODIAB prospective complications study

BACKGROUND/OBJECTIVES

Diet and lifestyle advice for type 1 diabetes (T1DM) patients is based on little evidence and putative effects on glycaemic control. Therefore, we investigated the longitudinal relation between dietary and lifestyle variables and HbA1c levels in patients with type 1 diabetes.

SUBJECTS/METHODS

A 7-year prospective cohort analysis was performed in 1659 T1DM patients (52% males, mean age 32.5 years) participating in the EURODIAB Prospective Complications Study. Baseline dietary intake was assessed by 3- day records and physical activity, smoking status and alcohol intake by questionnaires. HbA1c during follow-up was centrally assessed by immunoassay. Analysis of variance (ANOVA) and restricted cubic spline regression analyses were performed to assess dose-response associations between diet and lifestyle variables and HbA1c levels, adjusted for age, sex, lifestyle and body composition measures, baseline HbA1c, medication use and severe hypoglycaemic attacks.

RESULTS

Mean follow-up of our study population was 6.8 (s.d. 0.6) years. Mean HbA1c level was 8.25% (s.d. 1.85) (or 66.6 mmol/mol) at baseline and 8.27% (s.d. 1.44) at follow-up. Physical activity, smoking status and alcohol intake were not associated with HbA1c at follow-up in multivariable ANOVA models. Baseline intake below the median of vegetable protein (<29 g/day) and dietary fibre (<18 g/day) was associated with higher HbA1c levels. Restricted cubic splines showed nonlinear associations with HbA1c levels for vegetable protein (P (nonlinear)=0.008) and total dietary fibre (P (nonlinear)=0.0009).

CONCLUSIONS

This study suggests that low intake of vegetable protein and dietary fibre are associated with worse glycaemic control in type 1 diabetes.

Dietary intake, body composition, and physical activity among young patients with type 1 diabetes mellitus

OBJECTIVE

The aim of this study was to assess dietary intake, nutritional status, body composition, and physical activity level in a group of Chilean children and adolescents with Type 1 diabetes mellitus (T1DM), compare these parameters with the recommendations of the International Society for Pediatric and Adolescent Diabetes (ISPAD), and determine the relationships between dietary intake, body composition, and diabetes control.

METHODS

A total of 30 patients with T1DM (aged 15.2±4.0 years) were included. Dietary intake was assessed using a 92-item quantitative food frequency questionnaire. Body composition was determined using dual-energy X-ray densitometry. Physical activity was assessed by means of a survey.

RESULTS

The energy intake of these patients was derived from 21.4% protein, 48% carbohydrates, and 31.2% fat. The glycosylated hemoglobin (HbA1c) was significantly correlated with fat as grams per day (r: 0.363, p<0.05) and calories per day (r: 0.364, p<0.05). The mean body fat percentage in females was 31.2% and 20.2% in males (p < 0.01) and the mean amount of physical activity was 4.5±2.7 h per week.

CONCLUSIONS

The study patients had a higher protein intake than recommended by ISPAD. Dietary carbohydrate intake was rather low, and dietary fat intake was the same as the limits recommended by ISPAD. Diabetic control was significantly correlated with protein, carbohydrates, fat, and sodium intake. The girls in the study had a higher percentage of body fat than the standard recommendations for their age. The level of physical activity was adequate.

Diabetes nutrition therapy and dietary intake among individuals with Type 1 diabetes in China

AIMS

To describe the contribution of diabetes nutrition therapy to disease self-management among individuals with Type 1 diabetes in China and to estimate the association of diabetes nutrition therapy with dietary intake.

METHODS

The 3C Study was an epidemiological study of the coverage, cost and care of Type 1 diabetes in China. The data reported in the present study are from the 3C Nutrition Ancillary Study, a follow-up study conducted a mean ± sd of 1.6 ± 0.2 years later. Diabetes nutrition therapy was assessed by an interviewer-administered questionnaire. Dietary intake was assessed using three 24-h recalls. The association of diabetes nutrition therapy with dietary intake was estimated using ancova.

RESULTS

Participants (n = 100; 54% male) had a mean ± sd age of 41.7 ± 16.3 years and a mean ± sd diabetes duration of 11.8 ± 9.7 years. Fewer than half of the participants reported that they had 'ever' met with a dietitian. While 64% of participants were taught carbohydrate counting, only 12% 'ever' use this tool. Participants on insulin pumps and those testing ≥ 1 time/day reported greater dietary flexibility and higher fruit intakes compared with participants on other insulin regimens and testing less frequently. After adjustment for confounding by age and occupation, there were no consistent differences in dietary intake across subgroups of diabetes nutrition therapy.

CONCLUSIONS

In this sample of individuals with Type 1 diabetes in China there is little dietitian involvement or carbohydrate counting. Increased frequency of nutrition education in conjunction with intensified self-monitoring of blood glucose is needed to improve care.

Contextual factors are associated with diet quality in youth with type 1 diabetes mellitus

This study examined differences in diet quality by meal type, location, and time of week in youth with type 1 diabetes mellitus. A sample of youth with type 1 diabetes mellitus (n=252; 48% female) age 8 to 18 years (mean±standard deviation=13.2±2.8 years) with diabetes duration ≥1 year (mean±standard deviation=6.3±3.4 years) completed 3-day diet records. Multilevel linear regression models tested for differences in diet quality indicators by meal type, location, and time of week (weekdays vs weekends). Participants showed greater energy intake and poorer diet quality on weekends relative to weekdays, with lower intake of fruit and vegetables, and higher intake of total and saturated fat. Differences in diet quality were seen across meal types, with higher nutrient density at breakfast and dinner than at lunch and snacks. Participants reported the highest whole-grain and lowest fat intake at breakfast, but higher added sugar than at lunch or dinner. Dinner was characterized by the highest fruit intake, lowest added sugar, and lowest glycemic load, but also the highest sodium intake. The poorest nutrient density and highest added sugar occurred during snacks. Diet quality was poorer for meals consumed away from home than those consumed at home for breakfast, dinner, and snacks. Findings regarding lunch meal location were mixed, with higher nutrient density, lower glycemic load, and less added sugar at home lunches, and lower total fat, saturated fat, and sodium at lunches away from home. Findings indicate impacts of meal type, location, and time of week on diet quality, suggesting targets for nutrition education and behavioral interventions.

Associations of nutrient intake with glycemic control in youth with type 1 diabetes: differences by insulin regimen

BACKGROUND

Type 1 diabetes management has evolved from meal plans towards flexible eating with carbohydrate counting. With this shift, youth with type 1 diabetes may consume excess fat and insufficient fiber, which may impact glycemic control. Few studies consider whether insulin regimen influences associations between dietary intake and hemoglobin A1c.

PATIENTS AND METHODS

In this cross-sectional study, 252 youth (52% male; age, 13.2 ± 2.8 years; body mass index z-score [z-BMI], 0.7 ± 0.8) with type 1 diabetes completed 3-day food records. Dietary intake was compared with published guidelines. Logistic regression predicted the odds of suboptimal glycemic control (an A1c level of ≥ 8.5%) related to fat and protein intake or fiber intake according to insulin regimen (pump vs. injection) adjusting for age, sex, diabetes duration, z-BMI, insulin dose, glucose monitoring frequency, and total energy intake (TEI).

RESULTS

Youth had a mean TEI of 40.9 ± 15.4 kcal/kg/day and excess fat and insufficient fiber intake compared against published guidelines. Pump-treated youth consuming the highest quartile of fat intake (as percentage TEI) had 3.6 (95% confidence interval, 1.3-9.7) times the odds of a suboptimal A1c than those in the lowest quartile. No such association was found in injection-treated youth. In the total sample, youth with the lowest quartile of fiber intake had 3.6 (95% confidence interval, 1.4-9.0) times the odds of a suboptimal A1c, but this association did not differ by insulin regimen. There was no association between protein intake and A1c.

CONCLUSIONS

Higher fat intake in pump-treated youth and lower fiber intake in all youth were associated with an A1c level of ≥ 8.5%. Improving dietary quality may help improve A1c.

Intensively managed young children with type 1 diabetes consume high-fat, low-fiber diets similar to age-matched controls

Despite significant emphasis on nutrition, older children with diabetes demonstrate poor dietary quality. We tested the hypothesis that dietary quality in young children with type 1 diabetes (T1D) would be better than age-matched children in the US population. Dietary data from children with T1D (n = 67) aged 2 to 12 years attending a pediatric diabetes clinic were compared with a nationally representative, age-matched sample from the National Health and Nutrition Examination Survey (NHANES; n = 1691). Multiple 24-hour dietary recalls were used. Recommended intakes were based on national guidelines, and dietary quality was assessed using the Healthy Eating Index-2005. More children with T1D were overweight or obese compared with children participating in NHANES (42% vs 30%, P = .04). Greater proportions of children with T1D met daily recommendations for vegetables (22% vs 13%, P = .03), whole grains (12% vs 5%, P = .005), and dairy (55% vs 36%, P = .001) compared with NHANES children, whereas similar proportions met daily fruit recommendations (40% vs 33%, P = .2). Less than one-third of all children limited total fat to recommended levels; children with T1D consumed more saturated fat than did NHANES children (14% vs 12% total energy intake, P = .0009). Fiber intakes were very low in both groups. Compared with NHANES children, children with T1D had higher Healthy Eating Index-2005 scores (59.6 vs 49.7, P = .0006) primarily because of lower intakes of added sugars. The nutritional intake of young children with T1D remains suboptimal in the contemporary era of diabetes management. Despite focused nutrition management, young children with T1D consume high-fat, low-fiber diets comparable with youth in the general population.

Children under the age of seven with diabetes are increasing their cardiovascular risk by their food choices

AIM

Early-onset diabetes increases the risk of cardiovascular disease. This study examined the eating habits of children under 7 years of age with diabetes to see whether their diet increased that risk even further.

METHODS

A total of 24 children with type 1 diabetes (mean age 4.5 years) and 27 healthy controls (mean age 4.6 years) participated in this cross-sectional study. Food intake was assessed by two 4-day food records.

RESULTS

Children with type 1 diabetes had a higher energy intake from protein (18 vs 15%, p < 0.05) and fat (35 vs 31%, p < 0.05) but lower intake from carbohydrates (47 vs 54%, p < 0.05), than the healthy control group. Intake of saturated fat was higher than recommended in both groups, and consumption of fruit and vegetables was lower than recommended, but similar, in both the diabetes and control groups (191 vs 207 g per day). Total intake of fat was negatively correlated with intake of fruit and vegetables (r = -0.74 p < 0.05) in children with type 1 diabetes.

CONCLUSION

Children under 7 years of age with type 1 diabetes eat too much saturated fat and not enough fruit and vegetables. Their diet should be improved to reduce their cardiovascular risk.

Relationship between adherence to diet, glycemic control and cardiovascular risk factors in patients with type 1 diabetes: a nationwide survey in Brazil

Background

To determine the relationship between adherence to the diet reported by patients with type 1 diabetes under routine clinical care in Brazil, and demographic, socioeconomic status, glycemic control and cardiovascular risk factors.

Methods

This was a cross-sectional, multicenter study conducted between December 2008 and December 2010 in 28 public clinics in 20 Brazilian cities. The data was obtained from 3,180 patients, aged 22 ± 11.8 years (56.3% females, 57.4% Caucasians and 43.6% non-Caucasians). The mean time since diabetes diagnosis was 11.7 ± 8.1 years.

Results

Overall, 1,722 (54.2%) of the patients reported to be adherent to the diet without difference in gender, duration of diabetes and socioeconomic status. Patients who reported adherence to the diet had lower BMI, HbA1c, triglycerides, LDL-cholesterol, non HDL-cholesterol and diastolic blood pressure and had more HbA1c at goal, performed more frequently self-monitoring of blood glucose (p < 0.001), and reported less difficulties to follow specific schedules of diet plans (p < 0.001). Less patients who reported to be adherent were obese or overweight (p = 0.005). The quantity of food and time schedule of the meals were the most frequent complaints. Logistic regression analysis showed that ethnicity, (Caucasians, (OR 1.26 [1.09-1.47]), number of medical clinical visits in the last year (OR 1.10 [1.06-1.15]), carbohydrate counting, (OR 2.22 [1.49-3.30]) and diets recommended by diabetes societies’, (OR 1.57 [1.02-2.41]) were related to greater patients’ adherence (p < 0.05) and age, [adolescents (OR 0.60 [0.50-0.72]), high BMI (OR 0.58 [0.94-0.98]) and smoking (OR 0.58 [0.41-0.84]) with poor patients’ adherence (p < 0.01).

Conclusions

Our results suggest that it is necessary to rethink medical nutrition therapy in order to help patients to overcome barriers that impair an optimized adherence to the diet.

Nutritional education and carbohydrate counting in children with type 1 diabetes treated with continuous subcutaneous insulin infusion: the effects on dietary habits, body composition and glycometabolic control

Carbohydrate counting (CHC) in combination with nutritional education has been used to optimize the insulin dose in patients with type 1 diabetes (T1D). The aim of this study was to test the impact of CHC and nutritional education on changes in dietary habits, body composition and body fat distribution in children with T1D treated with insulin pumps (CSII). Twenty-five children with T1D and CSII were recruited and valuated at baseline and after 18 months of follow-up. They were trained in CHC and following standard nutrition education program (based on American Diabetes Association and International Society of Pediatric and Adolescent Diabetes guidelines); clinical, biochemical and nutritional variables were measured. In the total population, body composition, body fat distribution and biochemical variables did not change, at follow-up; HbA1c was significantly reduced (8.50 ± 0.77 vs 7.92 ± 0.74 %; p < 0.001) without changing insulin/kg/day requirement. In the sub-group of patients with a significant HbA1c reduction (ΔHbA1c ≥ 0.5 %, n = 12), the carbohydrate (CHO) intake was significantly higher at follow-up (53.0 ± 4.0 vs 57.6 ± 2.5 %; p < 0.01); on the contrary, fat (31.3 ± 3.6 vs 28.5 ± 1.6 %; p < 0.05) and protein intake (15.4 ± 1.8 vs 13.3 ± 1.6 %; p < 0.01) significantly decreased. Patients without a significant HbA1c reduction did not show any difference. CHC, in combination with nutritional education, does not affect dietary habits, body composition and body fat distribution in children with T1D treated with CSII. Moreover, the sub-group of subjects showing a significant improvement in glycometabolic control reported an increase in CHO intake and a reduction in fat and protein intake.

Relationships among parent and youth healthful eating attitudes and youth dietary intake in a cross-sectional study of youth with type 1 diabetes

Background

Constructs based on Social Cognitive Theory have shown utility in understanding dietary behavior; however, little research has examined these relations in youth and parents concurrently. Unique demands of dietary management among families of youth with type 1 diabetes (T1D) suggest the importance of investigation in this population. The purpose of this study was to develop and evaluate youth and parent measures of self-efficacy, outcome expectations, and barriers for healthful eating, and parent modeling of healthful eating, in a sample of youth with type 1 diabetes and their parents.

Methods

Youth (n=252) ages 8–18 years with diabetes duration ≥1 year and parents completed self-report measures of healthful eating attitudes including self-efficacy, perceived barriers, positive and negative outcome expectations; youth reported parent modeling of healthful eating. Youth dietary intake from 3-day diet records was used to calculate the Healthy Eating Index 2005 and the Nutrient Rich Foods 9.3 index, measures of overall diet quality. The relations among parent and youth healthful eating attitudes, parent modeling, and youth diet quality were examined using structural equation modeling.

Results

Internal consistency and test-retest reliability of the measures were acceptable. The structural equation model demonstrated acceptable fit (CFI/TLI=0.94/0.94; RMSEA=0.03), and items loaded the hypothesized factors. Parent modeling β^=.27,p=.02 and attitudes toward healthful eating (latent variable comprised of self-efficacy, barriers, outcome expectations) β^=.16,p=.04 had direct effects on youth diet quality. Parent modeling had a direct effect on youth attitudes β^=.49,p<.001; parent attitudes had an indirect effect on youth attitudes through parent modeling β^=.12,p,<.001. Youth attitudes were not associated with youth diet quality. Overall, the model accounted for 20% of the variance in child diet quality.

Conclusions

Parent diet-related behaviors demonstrated an impact on youth attitudes and diet quality, suggesting the importance of family-based clinical and public health efforts to improve diet.