Food habits, energy and nutrient intake in adolescents with Type 1 diabetes mellitus

Investigating the association between dietary patterns and glycemic control among children and adolescents with T1DM

Nutrition plays a critical role in managing diabetes, particularly in children with type 1 diabetes mellitus (T1DM). This study aimed to investigate the dietary patterns associated with glycemic control among Jordanian children and adolescents with T1DM. A total of 107 Jordanian children and adolescents with T1DM were enrolled (53 males and 54 females) in this cross-sectional study. Data were collected through face-to-face interviews using three valid and reliable questionnaires. The study revealed that only 25.7% of the participants had good glycemic control, while almost 51% had poor glycemic control. Overall, three dietary patterns were identified in this study: "High-Vegetables," "Unhealthy," and "High-Fruits." The "High-Vegetables" dietary pattern showed a protective association in controlling glycated hemoglobin at the second and third tertiles (odds ratio, CI: 0.07 (0.005-0.826); 0.06 (0.005-0.741), respectively). The "High-Vegetables" dietary pattern showed a protective effect against poor glycemic control. Although the association between the "Unhealthy" and "High-Fruits" dietary patterns and poor glycemic control did not reach significance at the tertiles level, it is noteworthy that a significant P-trend of 0.018 and 0.012, respectively, was observed for both patterns. We encourage children and adolescents to incorporate an assortment of whole, unprocessed vegetables into their diet in appropriate amounts to help manage their glycemic control.

Dietary Behavior and Compliance to Bulgarian National Nutrition Guidelines in Patients With Type 1 Diabetes With Longstanding Disease

Introduction

Nutrition education attempts to maintain and enhance good eating habits to achieve optimal metabolic control in people with type 1 diabetes (T1D). Recommendations for patients with T1D are comparable to those of the general population.

This Study Aimed

To investigate dietary habits and adherence to nutritional recommendations of patients with T1D as compared with age, gender, and BMI matched people in Bulgaria.

Methods

A case-control study included 124 patients with T1D with long disease duration (mean duration 25.3 ± 8.2 years) followed up at a diabetes clinic in Varna, Bulgaria for 2 years (2017–2019) and 59 controls matched for gender, age and BMI. A 24-h dietary recall method was used to assess the nutrition of both groups. A standardized questionnaire was applied to assess the frequency of food consumption (Feel4Diabtes). Height and weight were standardly measured, and BMI was calculated. Findings were compared with Bulgarian recommendations and reference values for energy and nutrient intake for healthy adults. The data were analyzed with the statistical package SPSSv21.0 and Jamovi v.22.5.

Results

The nutritional characteristics of T1D men and women differ. Men with T1D had a higher intake of total carbohydrates (CHO) (p = 0.009), a lower intake of total fats (p = 0.007), and monounsaturated fatty acids (p = 0.029) as a percentage of total daily energy compared with the controls. Women with T1D had a different distribution of energy intake per meal compared to controls: they consumed more energy (p = 0.001) and a corresponding share of CHO for lunch, less for dinner (p = 0.015) and had a higher overall healthy diet score when compared to controls (p = 0.02). Adherence to dietary recommendations (e.g., CHO, total fats, saturated fat, fibers) was low in both genders, but lower in the general population compared to people with T1D.

Conclusion

Our data demonstrate that people with T1D consume a healthier diet than the general population, which could be attributed to healthier diet awareness, still far from the recommendations. Introduction of annual consultations with a dietitian may improve long-term outcomes.

Prevalence of Metabolic Syndrome in Relation to Cardiovascular Biomarkers and Dietary Factors among Adolescents with Type 1 Diabetes Mellitus

The occurrence of metabolic syndrome (MetS) significantly affects the course of diabetes mellitus (DM), resulting in deterioration of insulin sensitivity and metabolic control, as well as many cardiometabolic complications. The aim of the study was to investigate the relationships between cardiovascular biomarkers, nutritional status, dietary factors and the occurrence of MetS among 120 participants from northeast Poland (adolescents with type 1 DM and healthy peers). MetS was assessed using several criteria: nutritional status by anthropometric measurements, body composition analysis by bioelectrical impedance, and diet using a food diary and questionnaire. MetS was diagnosed in every third diabetic. Compared to healthy peers, MetS patients had higher total body fat (26% vs. 14%, p < 0.001) and visceral fat (77 cm2 vs. 35 cm2, p < 0.001), and lower total antioxidant status (1.249 mmol/L vs. 1.579 mmol/L, p < 0.001). Additionally, their diet was rich in saturated fatty acids, but low in dietary fiber as well as mono- and polyunsaturated fatty acids. The group of diabetics reported many inappropriate eating behaviors. The combination of those with the presence of an excessive content of visceral fat tissue and abnormal values of MetS components may negatively affect metabolic control, thus accelerating the development of cardiometabolic complications.

Too Much Dietary Flexibility May Hinder, Not Help: Could More Specific Targets for Daily Food Intake Distribution Promote Glycemic Management among Youth with Type 1 Diabetes?

Average glycemic levels among youth with type 1 diabetes (T1D) have worsened in some parts of the world over the past decade despite simultaneous increased uptake of diabetes technology, thereby highlighting the persistent need to identify effective behavioral strategies to manage glycemia during this life stage. Nutrition is fundamental to T1D management. We reviewed the evidence base of eating strategies tested to date to improve glycemic levels among youth with T1D in order to identify promising directions for future research. No eating strategy tested among youth with T1D since the advent of flexible insulin regimens—including widely promoted carbohydrate counting and low glycemic index strategies—is robustly supported by the existing evidence base, which is characterized by few prospective studies, small study sample sizes, and lack of replication of results due to marked differences in study design or eating strategy tested. Further, focus on macronutrients or food groups without consideration of food intake distribution throughout the day or day-to-day consistency may partially underlie the lack of glycemic benefits observed in studies to date. Increased attention paid to these factors by future observational and experimental studies may facilitate identification of behavioral targets that increase glycemic predictability and management among youth with T1D.

Dietary Intake and Adherence to the Recommendations for Healthy Eating in Patients With Type 1 Diabetes: A Narrative Review

Background: Medical nutrition therapy is essential for all people with diabetes, of any type or severity. Compliance with the recommended nutrition is an integral part of the treatment of type 1 diabetes (T1D). It remains unclear to what extent the dietary intake of patients with type 1 diabetes adheres to the recommendations for healthy eating.

Objective: The primary aim of our study is to collect and analyze published articles on the nutrition of T1D patients in comparison with the general population and recommendations.

Research Strategy and Methods: A literature search for articles, published between January 2006 and July 2021 was conducted, using electronic databases (PubMed and Google Scholar) for all available publications in English and Bulgarian. The process of study selection, identification, screening, eligibility and inclusion followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) recommendations for a flowchart. Based on the keywords search, 425 titles were retrieved, of which 27 were selected based on title and abstract. All papers were crosschecked and reviewed for selection by 3 independent reviewers. As a result, 19 titles were eligible and met inclusion criteria for a full review.

Results: Energy intake tends to be lower in T1D patients or comparable to controls and in most cases within the general recommendations. The percentage of calories from protein is within the recommendations for children, adolescents and adults. Only two studies showed that T1D patients consume significantly less than the recommendation for total fat intake (<35E%). The median intake of carbohydrates is in the lower end of the recommended 45 to 60E%. The median intake of dietary fiber adjusted for total energy is too low for T1D patients and the general population.

Conclusion: Study findings suggested a lack of knowledge or misunderstanding of diabetes dietary management. Patients with T1D, who are being consulted with a dietician as a part of their treatment plan may have better compliance to their recommended diet and as a result, are likely to have better health outcomes. Nutritional therapy should focus not only on glycemic control and pure carbohydrate counting but also on healthy eating and complication prevention.

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.

Empirical dietary inflammatory pattern and metabolic syndrome: prospective association in participants with and without type 1 diabetes mellitus in the coronary artery calcification in type 1 diabetes (CACTI) study

The inflammatory potential of diet, assessed by Empirical Dietary Inflammatory Pattern (EDIP), may play a crucial role in the development of metabolic syndrome (MetS). However, limited research on this relationship is available. We hypothesized that EDIP is positively associated with MetS and its components. This longitudinal study included 1177 participants (526 with type 1 diabetes mellitus [T1DM] and 651 without) from the Coronary Artery Calcification in Type 1 Diabetes study. Dietary assessment and anthropometric and biochemical measurements were assessed at baseline and 14-year follow-up. MetS status was defined using the Harmonization criteria. EDIP scores were computed based on a food frequency questionnaire. Generalized linear mixed models were applied and subgroup analyses were performed by diabetes status. Mean age of study participants was 38 years and 48% were male at baseline. EDIP was positively associated with MetS (β_{T3 versus T1}=0.81, P < .01) in T1DM but not in nondiabetic controls. Of the MetS components, low HDL-C and hypertriglyceridemia had positive associations with EDIP in both groups. Individuals with T1DM consumed more pro-inflammatory diets and had a greater risk of developing MetS than those without diabetes. The consumption of processed meat, red meat, high- and low- energy beverages was significantly higher in those with MetS than those without this condition (all P < .05). Reduced consumption of pro-inflammatory foods such as processed meat, red meat, sugar-sweetened beverages, and diet drinks may lower MetS risk in T1DM.

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

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

Additional Insulin for Coping with Fat- and Protein-Rich Meals in Adolescents with Type 1 Diabetes: The Protein Unit

OBJECTIVE

Dietary proteins raise blood glucose levels; dietary fats delay this rise. We sought to assess the insulin amount required to normalize glucose levels after a fat- and protein-rich meal (FPRM).

METHODS

Sixteen adolescents (5 female) with type 1 diabetes (median age: 18.2 years; range: 15.2-24.0; duration: 7.1 years; 2.3-14.3; HbA1c: 7.2%; 6.2-8.3%) were included. FPRM (carbohydrates 57 g; protein 92 g; fat 39 g; fibers 7 g; calories 975 Kcal) was served in the evening, with 20 or 40% extra insulin compared to a standard meal (SM) (carbohydrates 70 g; protein 28 g; fat 19 g; fibers 10 g; calories 579 Kcal) or carbohydrates only. Insulin was administered for patients on intensified insulin therapy or as a 4-hour-delayed bolus for those on pump therapy. The 12-hour post-meal glucose levels were compared between FPRM and SM, with the extra insulin amount calculated based on 100 g proteins as a multiple of the carbohydrate unit.

RESULTS

Glucose levels (median, mg/dL) 12-hour post-meal with 20% extra insulin vs. 40% vs. insulin dose for SM were 116 vs. 113 vs. 91. Glucose-AUC over 12-hour post-meal with 20% extra insulin vs. 40% vs. insulin dose for SM was 1603 mg/dL/12 h vs. 1527 vs. 1400 (no significance). Glucose levels in the target range with 20% extra insulin vs. 40% were 60% vs. 69% (p=0.1). Glucose levels <60 mg/dL did not increase with 40% extra insulin. This corresponds to the 2.15-fold carbohydrate unit for 100 g protein.

CONCLUSIONS

We recommend administering the same insulin dose given for 1 carbohydrate unit (10 g carbs) to cover 50 g protein.

Variation of carbohydrate intake in diabetic children on carbohydrate counting

AIMS

Carbohydrate counting (CC) is a technique for managing diabetes particularly based on the counting of carbohydrates. It allows diabetic patients to vary their amount of carbohydrates from one meal to another by adjusting their insulin dose. The primary objective was to determine the variation of carbohydrate intake (CI) in children on CC.

METHOD

This was a prospective study conducted between 2014 and 2016. We collected the amount of carbohydrates eaten at each meal by 77 diabetic over a period of 28 days (i.e. 8068 data). We analyzed the number and percentage of significant CI variation rates from one day to another, both for the whole day and for each meal. The CI variation rate was deemed significant if it was greater than or equal to 30%.

RESULTS

The percentage of significant CI variation rates was 30% at the daily level, 34% for breakfast, 44% for lunch and dinner, and 53% for snack. The percentage of significant variation rates varied according to age, treatment and occurrence of events.

CONCLUSION

Children varied their CI significantly from one meal to another more than one in three times. CC offers flexibility and a better quality of life for children using this method.

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.

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.

Electronic supplementary material

The online version of this article (10.1007/s00394-018-1777-z) contains supplementary material, which is available to authorized users.

Whole Egg Consumption Exerts a Nephroprotective Effect in an Acute Rodent Model of Type 1 Diabetes

Nephropathy is a well-characterized complication of type 1 diabetes (T1D), resulting in proteinuria and urinary loss of micronutrients. We previously found that a whole egg-based diet maintained vitamin D balance in type 2 diabetic rats despite excessive urinary losses due to nephropathy. The goal of this study was to investigate the impact of whole egg consumption in T1D rats. Sprague-Dawley rats were randomly assigned to T1D or nondiabetic control groups and fed a casein or whole egg-based diet for 32 days. On day 26, two-thirds of the rats received a streptozotocin injection to induce T1D. Whole egg consumption attenuated polyuria, proteinuria, and renal hypertrophy in T1D rats. These data suggest that dietary intervention with whole egg may offer renal protection in T1D.

Greater postprandial glucose excursions and inadequate nutrient intake in youth with type 1 diabetes and celiac disease

The gluten free diet (GFD) has a high glycemic index and low-fiber content, which potentially influences glycemic excursions in type 1 diabetes (T1D) and celiac disease (CD). Participants in this case-control study of youth with T1D+CD (n = 10) and T1D only (n = 7) wore blinded continuous glucose monitoring systems for six days. Blood glucose levels (BGLs) were compared between groups for each meal, including pre-meal, peak, 2-hour postprandial and time-to-peak. Participants consumed a test-breakfast of GF cereal and milk for three days and kept weighed food diaries; nutrient intake was analyzed and compared to national recommendations. Youth with T1D+CD had shorter time-to-peak BGL (77 vs 89 mins, P = 0.03), higher peak (9.3 vs 7.3 mmol/L, P = 0.001) and higher postprandial BGLs than T1D (8.4 vs 7.0 mmol/L, P = 0.01), despite similar pre-meal BGLs (9.2 vs 8.6 mmol/L, P = 0.28). Regarding test breakfast, greater pre and post-meal BGL difference correlated with longer CD duration (R = 0.53, P = 0.01). Total energy and macronutrient intake didn’t differ between groups; however the majority of participants collectively had inadequate intake of calcium (76%), folate (71%) and fiber (53%), with excessive saturated fat (12%) and sodium (>2,000 mg/day). The GFD is associated with greater glycemic excursions and inadequate nutritional intake in youth with T1D+CD. Clinical management should address both glycemic variability and dietary quality.

Slim by Design

Background. The home is one place where people can control what foods are available and how the environment is arranged. Given the impact of environments on health, the objective of this study is to determine whether the presence of foods on a person’s kitchen counter are associated with their body mass index (BMI). Method. In Study 1, a nationwide sample of 500 households was asked to inventory their kitchen and provide their height and weight. In Study 2, researchers photographed and catalogued 210 households in Syracuse, New York, and measured the occupants’ height and weight. Main outcome measures for the study were BMI differences between households that had various foods visible on the counter compared with those that did not. Findings. The presence of fruit on the counter was associated with lower BMI in both studies, but the presence of foods such as candy, cereal, soft drinks, and dried fruit were associated with weight differences that ranged from 9.4 to 14.4 kg. Interpretations. Although correlational, the findings from these two studies suggest that when counseling patients regarding their weight, physicians also suggest they clear their kitchen counter of all food except a fruit bowl.

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.

Higher glucose concentrations following protein- and fat-rich meals - the Tuebingen Grill Study: a pilot study in adolescents with type 1 diabetes

OBJECTIVE

Traditionally insulin dosage is focused on the carbohydrate amount of meals. We investigated the influence of a fat- and protein-rich meal in the evening on glucose concentration over night in adolescents with type 1 diabetes.

RESEARCH DESIGN AND METHODS

Fifteen patients, mean age 16.8 [standard deviation (SD) 2.9] yr participated in the study. Mean glycated hemoglobin (HbA1c) was 6.9 (range: 6.0-8.9) %. On two consecutive days the patients received a standard meal (SM) and a fat-protein-rich evening meal (FPRM). The carbohydrate amount remained identical and insulin was adjusted to this carbohydrate amount with the individual carbohydrate bolus. Glucose was measured continuously over night with the Enlite sensor and the Guardian system (Medtronic) during the following 12 h after the meal.

RESULTS

Glucose area under the curve (AUC) for SM was 1400 (SD 580) mg/dL/12 h and for FPRM 1968 (SD 394) mg/dL/12 h (p < 0.05). There was a significant difference in the AUC between 4 and 12 h after the meal. Maximal AUC difference was 6 h after the meal. Glucose concentration in the morning (12 h after the meal) differed: 91 (SD 34) mg/dL after SM and 153 (SD 60) mg/dL after FPRM (p < 0.05). For SM 31% of glucose level were <80 mg/dL and 24% >150 mg/dL, for FPRM it was 3 and 48%.

CONCLUSIONS

Twelve hours after a FPRM glucose concentration is significantly higher. Dietary counseling should include the effect of protein and fat on glucose levels in adolescents with type 1 diabetes. The data indicate clearly a need for additional insulin for fat-protein-rich meals.

Comparison of the dietary intakes of individuals with and without type 1 diabetes in China

BACKGROUND AND OBJECTIVES

The objective was to compare the dietary intakes of individuals with type 1 diabetes (T1D) to individuals without diabetes in China.

METHODS AND STUDY DESIGN

Data are from 1) the 3C Nutrition Ancillary Study, a cross-sectional study of individuals with T1D in China, and 2) the China Health and Nutrition Survey. Dietary intake in both samples was assessed using three 24-hour recalls. ANCOVA and multivariable logistic regression, adjusted for sex, age, and urban-rural residence, were used to assess differences in nutrient and food group intake between participants without diabetes (n=1059) and participants with T1D (n=97), who were stratified by insulin regimen (basal-bolus, n=49, versus fixed, n=48).

RESULTS

Participants with T1D had a lower percentage of energy from carbohydrates, higher vegetable intake, and were more likely to consume lowfat cakes and fungi/sea weed compared to participants without diabetes (all p<0.05). Distinguishing characteristics of insulin regimen groups also emerged. Participants on fixed regimens had higher intakes of wheat and were less likely to consume fruit and more likely to consume high-fat cakes and dairy compared to participants without diabetes (all p<0.05). Participants on basal-bolus regimens were less likely to consume fried foods and more likely to consume fish/shellfish compared to participants without diabetes (all p<0.05).

CONCLUSIONS

Differences in dietary intake between participants with and without T1D in China suggest that dietary modifications are common and reflect carbohydrate-conscious nutrition recommendations for individuals with T1D. Future research should focus on the health effects of these modifications.

Fruit and vegetable intake and risk of type 2 diabetes mellitus: meta-analysis of prospective cohort studies

OBJECTIVE

To clarify and quantify the potential dose-response association between the intake of fruit and vegetables and risk of type 2 diabetes.

DESIGN

Meta-analysis and systematic review of prospective cohort studies.

DATA SOURCE

Studies published before February 2014 identified through electronic searches using PubMed and Embase.

ELIGIBILITY CRITERIA FOR SELECTING STUDIES

Prospective cohort studies with relative risks and 95% CIs for type 2 diabetes according to the intake of fruit, vegetables, or fruit and vegetables.

RESULTS

A total of 10 articles including 13 comparisons with 24,013 cases of type 2 diabetes and 434,342 participants were included in the meta-analysis. Evidence of curve linear associations was seen between fruit and green leafy vegetables consumption and risk of type 2 diabetes (p=0.059 and p=0.036 for non-linearity, respectively). The summary relative risk of type 2 diabetes for an increase of 1 serving fruit consumed/day was 0.93 (95% CI 0.88 to 0.99) without heterogeneity among studies (p=0.477, I(2)=0%). For vegetables, the combined relative risk of type 2 diabetes for an increase of 1 serving consumed/day was 0.90 (95% CI 0.80 to 1.01) with moderate heterogeneity among studies (p=0.002, I(2)=66.5%). For green leafy vegetables, the summary relative risk of type 2 diabetes for an increase of 0.2 serving consumed/day was 0.87 (95% CI 0.81 to 0.93) without heterogeneity among studies (p=0.496, I(2)=0%). The combined estimates showed no significant benefits of increasing the consumption of fruit and vegetables combined.

CONCLUSIONS

Higher fruit or green leafy vegetables intake is associated with a significantly reduced risk of type 2 diabetes.

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.

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.

Relation between energy intake and glycemic control in physically active young adults with type 1 diabetes

OBJECTIVES

To examine the relationships between daily energy expenditure, energy intake and glycemic control in young adults with type 1 diabetes.

DESIGN

Cross-sectional study.

METHODS

Energy expenditure (kcal kg(-1)d(-1)) and duration of participation in physical activity were measured from a 3-d activity diary and categorized according to their intensity on a 1-9 scale. Energy intake was measured by a 3-d food record. Glycemic control was measured using the HbA1c.

RESULTS

Energy expenditure and intake were assessed in 35 young adults with type 1 diabetes (age: 28 ± 7 years). Participants with higher energy expenditure from moderate to intense physical activity (categories 6-9) presented higher proportion of energy intake derived from carbohydrate and lower proportion of lipids in the diet with significantly higher HbA(1c) values (7.3 ± 1.0% vs 6.7 ± 0.6%).

CONCLUSIONS

These results suggest that highly physically active individuals with type 1 diabetes consume more carbohydrates than lipids, a strategy that may affect their glycemic control. Further studies are needed to develop interventions to improve glycemic control in highly active individuals with type 1 diabetes.

Adherence to diet in youth with type 1 diabetes

This article reviewed current findings on dietary adherence in youth with type 1 diabetes mellitus (T1DM), discussed factors predicting dietary adherence, and presented directions for future research. The included studies involved youth with T1DM, presented dietary adherence data specifically, and/or described usual dietary patterns in youth. Articles that explored predictors had to focus exclusively on dietary adherence. The final sample was 23 articles. Adherence articles were organized into two categories: eating behaviors and macronutrients and dietary recommendations. Rates of adherence to eating behaviors ranged from 21% to 95%. Studies examining macronutrients and dietary recommendations revealed higher than recommended intakes of fat and saturated fat and lower than recommended intakes of fruits, vegetables, and whole grains. Six studies investigated factors predicting dietary adherence. These studies revealed associations with child behavior problems and knowledge deficits. The available literature identified many youth with T1DM struggling with adherence and not meeting dietary guidelines for their disease. Future research should examine diet in youth exclusively on intensive insulin regimens, community-based predictors of diet, and the influence of mood on dietary adherence.

Gastrointestinal symptoms in adolescents with type 1 diabetes

OBJECTIVE

To compare the prevalence of gastrointestinal (GI) symptoms in adolescents with and without type 1 diabetes (T1DM) and to relate the symptoms in patients to demographic, socioeconomic, diabetes-specific variables, and food habits.

METHOD

In a population-based, cross-sectional setting, 173 adolescents with T1DM and 160 matched controls completed a questionnaire. Moreover, 13 patients and 1 control were excluded due to having a GI disorder.

RESULTS

Moreover, 75% of patients and 77% of controls reported at least one GI symptom (ns). More girls than boys reported symptoms. Reflux episodes were more prevalent in patients with poorer socioeconomic status. Poor appetite, loss of weight, an uncomfortable feeling of fullness, swallowing difficulties, and nausea were more prevalent in patients smoking daily compared with patients not smoking daily. Vomiting was more prevalent in patients with duration of diabetes >7 yr, and patients with reflux episodes had higher glycated hemoglobin (HbA1c). Belching and early satiety were more prevalent in patients with an irregular meal pattern.

CONCLUSIONS

GI symptoms in adolescents are common, but the prevalence is not increased in those with T1DM. GI symptoms in adolescents with T1DM are associated with female sex, poorer socioeconomic status, daily cigarette smoking, longer duration of diabetes, poorer metabolic control, and an irregular meal pattern.

Adults with type 1 diabetes eat a high-fat atherogenic diet that is associated with coronary artery calcium

AIMS/HYPOTHESIS

Coronary heart disease is the leading cause of mortality among people with type 1 diabetes. Diet is an important lifestyle factor that relates to risk of CHD. The aim of this study was to examine how diet and adherence to dietary guidelines differ between adults with and without type 1 diabetes, and their correlation with CHD risk factors and coronary artery calcium (CAC).

METHODS

The study involved 571 people with type 1 diabetes and 696 controls, aged 19 to 56 years, who were asymptomatic for CHD. CAC was measured by electron-beam computed tomography.

RESULTS

Compared with the controls, adults with type 1 diabetes reported a diet higher in fat, saturated fat and protein but lower in carbohydrates. Fewer than half of those with type 1 diabetes met dietary guidelines for fat and carbohydrate intake, and only 16% restricted saturated fat to less than 10% of daily energy intake. Adults with type 1 diabetes were significantly less likely to meet dietary guidelines than controls. Fat and saturated fat intakes were positively correlated, but carbohydrate intake was negatively correlated with CHD risk factors and HbA(1c). A high-fat diet and higher intake of protein were associated with greater odds of CAC, while higher carbohydrate intake was associated with reduced odds of CAC.

CONCLUSIONS/INTERPRETATION

Adults with type 1 diabetes reported consuming higher than recommended levels of fat and saturated fat. High fat intake was associated with increased CHD risk factors, worse glycaemic control and CAC. An atherogenic diet may contribute to the risk of CHD in adults with type 1 diabetes.

Are children with type 1 diabetes consuming a healthful diet?: a review of the current evidence and strategies for dietary change

PURPOSE

The purpose of this study is to review the literature on usual dietary intake in children with type 1 diabetes (T1D) and to discuss approaches to promote dietary change with potential efficacy.

METHODS

Search strategies included a MEDLINE search for English-language articles that estimated usual dietary intake in children with T1D and a screening of the reference lists from original studies. The keywords used were diet, dietary intake, nutrition, type 1 diabetes, children, adolescents, and youth. Studies were included if they were observational, contained a sample of children with T1D, and estimated usual dietary intake.

RESULTS

Nine studies fulfilled the criteria (6 US, 3 European). Of the 4 studies with a control group, 3 reported that both total fat and saturated fat intake were higher in the children with T1D. Six studies examined the percent of total calories from saturated fat; mean intake ranged from 11 to 15%, exceeding ADA recommendations (< 7%). Fruit, vegetable, and fiber intakes were low among children with T1D. No prior studies have addressed dietary change in this population. The behavior-change literature suggests that nutrition education alone is unlikely to be adequate, but that incorporation of behavioral approaches offers potential efficacy in promoting healthful dietary change.

CONCLUSIONS

Children with T1D are not meeting dietary guidelines, and in some areas their diets are less healthful than children without diabetes. As these dietary behaviors may affect the risk of long-term complications, the incorporation of behavioral approaches promoting healthy eating into routine clinical practice is warranted.

Sweets, snacking habits, and skipping meals in children and adolescents on intensive insulin treatment

AIM

To examine the association between skipping meals and snacking events and dietary and clinical characteristics in children and adolescents using modern insulin treatment.

METHODS

Dietary intake was recorded for 4 d in food diaries in 655 young diabetic patients. Number of meals and snacking events was recorded in a separated questionnaire, while clinical data were obtained from case record forms. Skipping meals refer to consuming a main meal (e.g., breakfast) five times a week or less.

RESULTS

Modern insulin treatment may favor a more flexible lifestyle. This study shows that there are fewer young diabetic patients who skip meals than non-diabetic controls (p < 0.001) even when using modern intensified insulin treatment. However, skipping meals among young diabetic patients was associated with negative characteristics such as having suboptimal hemoglobin A1c (HbA1c) (OR 4.7, p = 0.02), higher low-density lipoprotein (LDL) cholesterol levels (OR 4.0, p < 0.001), watching more TV (OR 3.6, p < 0.001), being overweight (OR 2.8, p = 0.03), as well as having a higher intake of added sugar (OR 2.1, p = 0.01) and lower intake of fiber (OR 0.2, p = 0.04) compared with those not skipping meals. Having more than two snacking events during the day was associated with higher HbA1c, higher intake of added sugar and sweets, and spending more hours in front of the TV or personal computer.

CONCLUSIONS

In general, fewer children and adolescents with type 1 diabetes skip meals compared with healthy peers. Those who skip meals and have more snacking events have poorer glycemic control and less healthy dietary and leisure habits.

The influence of dietary intake and meal pattern on blood glucose control in children and adolescents using intensive insulin treatment

AIMS/HYPOTHESIS

We studied dietary factors and their association with blood glucose control in type 1 diabetic children and adolescents using intensive insulin treatment.

MATERIALS AND METHODS

A total of 550 children and adolescents with type 1 diabetes mellitus (age 2-19 years) recorded their diet for 4 days in pre-coded food diaries. Of the study group, 34% used insulin pumps, 43% used four or more injections and 16% three injections per day. HbA(1c) was related to targets of optimal blood glucose control defined by the International Society for Pediatric and Adolescent Diabetes (ISPAD).

RESULTS

Adolescents with optimal glucose control (HbA(1c) < or = 7.5%) had a lower intake of added sugar (7.7 vs 9.1% of energy intake, p = 0.004), a higher intake of fibre (19.3 vs 17.0 g/day, p = 0.01) and a higher intake of fruits and vegetables (257 vs 227 g/day, p = 0.04) than those with suboptimal metabolic control (HbA(1c) > 7.5%). Multiple regression analysis in adolescents showed that fibre and meal pattern were significantly associated with blood glucose control (effect fibre intake = -0.02, p = 0.04, effect having breakfast regularly = -0.89, p = 0.009). In children meal pattern was associated with blood glucose control (effect having dinner regularly = -0.66, p = 0.02, effect having supper regularly = -0.78, p = 0.03).

CONCLUSIONS/INTERPRETATION

In diabetic adolescents both intake of fibre and having a regular meal pattern are associated with blood glucose control. Lower intake of added sugar and sugar-sweetened soft drinks and higher intake of fruits and vegetables are observed among those with optimal compared with those with suboptimal blood glucose control. Dietary guidance should be intensified during adolescence to improve dietary intake and blood glucose control.