Detecting intentional insulin omission for weight loss in girls with type 1 diabetes mellitus

Machine learning and artificial intelligence within pediatric autoimmune diseases: applications, challenges, future perspective

INTRODUCTION

Autoimmune disorders affect 4.5% to 9.4% of children, significantly reducing their quality of life. The diagnosis and prognosis of autoimmune diseases are uncertain because of the variety of onset and development. Machine learning can identify clinically relevant patterns from vast amounts of data. Hence, its introduction has been beneficial in the diagnosis and management of patients.

AREAS COVERED

This narrative review was conducted through searching various electronic databases, including PubMed, Scopus, and Web of Science. This study thoroughly explores the current knowledge and identifies the remaining gaps in the applications of machine learning specifically in the context of pediatric autoimmune and related diseases.

EXPERT OPINION

Machine learning algorithms have the potential to completely change how pediatric autoimmune disorders are identified, treated, and managed. Machine learning can assist physicians in making more precise and fast judgments, identifying new biomarkers and therapeutic targets, and personalizing treatment strategies for each patient by utilizing massive datasets and powerful analytics.

5. Facilitating Positive Health Behaviors and Well-being to Improve Health Outcomes: Standards of Care in Diabetes-2024

The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Eating behaviors and estimated body fat percentage among adolescents with type 1 diabetes

AIMS

Estimate associations between select eating behaviors and estimated body fat percentage (eBFP) and explore effect modification by sex among adolescents with type 1 diabetes (T1D).

METHODS

This analysis included 257 adolescents (mean age 14.9 ± 1.14 years; 49.8 % female) with baseline hemoglobin A1c (HbA1c) between 8 and 13 % (64 mmol/mol-119 mmol/mol) from a randomized trial designed to improve glycemia. Eating behaviors and eBFP were determined from surveys and validated equations respectively. Linear mixed models were used to estimate associations. Effect modification was assessed via stratified plots, stratified associations, and interaction terms.

RESULTS

Disordered eating, dietary restraint, and eBFP were significantly higher among females while external eating was higher among males. Disordered eating (β: 0.49, 95 %CI: 0.24, 0.73, p = 0.0001) and restraint (β: 1.11, 95 %CI: 0.29, 1.92, p = 0.0081) were positively associated with eBFP while external eating was not (β: -0.19, 95 %CI: -0.470, 0.096, p = 0.20). Interactions with sex were not significant (p-value range: 0.28-0.64).

CONCLUSION

Disordered eating and dietary restraint were positively associated with eBFP, highlighting the potential salience of these eating behaviors to cardiometabolic risk for both female and male adolescents. Prospective studies should investigate whether these eating behaviors predict eBFP longitudinally to inform obesity prevention strategies in T1D.

The misuse of insulin by males with Type 1 Diabetes Mellitus for weight and/or shape control: a systematic scoping review

Background

Insulin restriction and/or omission in Type 1 Diabetes Mellitus (T1DM) is a risky disordered eating behaviour increasingly reported in the literature. Most existing literature has focused on females with T1DM. Previous research, however, suggests disordered eating behaviours are over-represented in males with T1DM versus males without T1DM. This systematic scoping review sought to summarise the existing literature to contribute to the development of an understanding of males' misuse of insulin for weight and/or shape control.

Methods

A systematic scoping review methodology was used. We searched six electronic databases. Eligible articles were quantitative, qualitative, or mixed methods empirical studies with primary data on the restriction and/or omission of insulin for weight and/or shape control among males, written in English from database inception to December 2021.

Results

A final sample of 56 articles was included (48 quantitative, six qualitative and two mixed methods). Where it was reported to occur, estimates of the behaviour ranged from 5 to 75% in females and 1.4% to 76% in males. In 12 studies examining sex differences, only three reported higher prevalence in females. Understandings about the behavioural context of the behaviour were hampered by lack of qualitative research (n = 4 studies).

Conclusion

Despite common preconceptions, this disordered eating behaviour appears to occur similarly in males and females. The findings shed light on areas for future research, including aetiology in males and the need for longitudinal and qualitative research. Clinical recommendations include being alert to the possibility of this behaviour in males with Type 1 Diabetes Mellitus and the need for health professionals to use open-ended questions to explore current and past deliberate restriction and/or omission of insulin among their patients.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40200-022-01151-8.

5. Facilitating Positive Health Behaviors and Well-being to Improve Health Outcomes: Standards of Care in Diabetes-2023

The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Emotional eating and disordered eating behaviors in children and adolescents with type 1 diabetes

Disordered eating behaviors (DEB) are more common in adolescents with type 1 diabetes (T1D) than in peers without diabetes. Emotional eating is a risk factor for binge eating in children and adolescents in the general population and is associated with increased intake of high energy-dense foods rich in sugars and fats. The primary objective is to evaluate whether emotional eating is associated with the metabolic control (glycated hemoglobin, plasma lipids and uric acid) in children and adolescents with type 1 diabetes and whether subjects with DEB (DEPS-R ≥ 20) have higher emotional eating than those without DEB. The secondary objective is to evaluate whether emotional eating is associated with the different symptoms of DEB. Emotional eating is positively correlated with HbA1c, total and LDL cholesterol values in children and adolescents with T1D. Subjects with DEB have a higher emotional eating score than subjects without DEB. Disinhibition is the most common disordered eating behavior in children and adolescents with T1D and is associated with a higher emotional eating score. Early identification and treatment of emotional eating could be tools for preventing DEB in people with type 1 diabetes. A total of 212 adolescents with T1D completed two self-administered questionnaires: the Diabetes Eating Problem Survey-Revised (DEPS-R) and the Emotional Eating Scale for Children and Adolescents (EES-C). Demographic (age, sex, duration of the disease), anthropometric (weight, height, BMI, BMI-SDS), therapeutic (type of insulin therapy, daily insulin dose) and metabolic (HbA1c, total cholesterol, HDL, LDL, triglycerides, uric acid) data were taken from the patients' medical records. The presence of other autoimmune diseases was also recorded.

5. Facilitating Behavior Change and Well-being to Improve Health Outcomes: Standards of Medical Care in Diabetes-2022

The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc22-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc22-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Artificial intelligence and diabetes technology: A review

Artificial intelligence (AI) is widely discussed in the popular literature and is portrayed as impacting many aspects of human life, both in and out of the workplace. The potential for revolutionizing healthcare is significant because of the availability of increasingly powerful computational platforms and methods, along with increasingly informative sources of patient data, both in and out of clinical settings. This review aims to provide a realistic assessment of the potential for AI in understanding and managing diabetes, accounting for the state of the art in the methodology and medical devices that collect data, process data, and act accordingly. Acknowledging that many conflicting definitions of AI have been put forth, this article attempts to characterize the main elements of the field as they relate to diabetes, identifying the main perspectives and methods that can (i) affect basic understanding of the disease, (ii) affect understanding of risk factors (genetic, clinical, and behavioral) of diabetes development, (iii) improve diagnosis, (iv) improve understanding of the arc of disease (progression and personal/societal impact), and finally (v) improve treatment.

Psychiatric illness, emotional distress, glycemic control and chronic complications in type 1 diabetes subjects

Objective

To assess the prevalence of psychiatric disorders in patients with type 1 diabetes mellitus (T1D) and to compare patients with and without psychiatric disorder.

Methods

We made a cross-sectional study including patients with T1D assisted in the outpatient clinics of the Brazilian National Health System. To assess depression and anxiety, we used the PHQ-9 questionnaire and the DSM-5th edition criteria, respectively. B-PAID evaluated the level of emotional distress associated with diabetes; EAT-26, eating disorders; SCI-R, adherence to the proposed clinical treatment.

Results

We analyzed 166 patients aged 33 (22-45.2) years, 53.6% female. The prevalence of depression and anxiety was 20.5% and 40.4%, respectively. HbA1c was worse in the depressed (9.0% vs. 8.4%, p = 0.008), in the anxious ones (9.0% vs. 8.3%, p = 0.012) and in the patients with high levels of B-PAID (8.8 % vs. 8.3 %, p = 0.009). There was no difference in the prevalence of complications related to diabetes.

Conclusion

The prevalence of psychiatric disorders and emotional distress related to diabetes was high in our population of T1D patients, and depression and high levels of B-PAID were associated with the worse glycemic control.

5. Facilitating Behavior Change and Well-being to Improve Health Outcomes: Standards of Medical Care in Diabetes-2021

The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc21-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc21-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

A relação entre a mulher com diabetes e o seu corpo: o risco da diabulimia

Resumo Objetivo compreender a relação que as mulheres com diabulimia têm com o corpo. Método pesquisa qualitativa, desenvolvida com o Método da História Oral Temática, com quatro mulheres entre 18 e 30 anos que autorreferiram diabulimia. Resultados a relação das mulheres com o seu corpo foi pautada pela pressão social de magreza feminina que distorce a autoimagem, gera insatisfação com o corpo e a diminuição da autoestima. A perda de peso é proporcionalmente associada ao aumento da aceitação social e justifica a utilização de métodos deletérios à saúde como a diminuição da dose ou a suspensão do uso de insulina. As narradoras demonstraram conhecer os riscos, mas admitiram repeti-la em determinados contextos. Considerações finais e implicações para a prática o desejo que as mulheres com Diabetes Mellitus têm de perder peso precisa ser incorporado às estratégias de cuidado com a atenção dos profissionais da saúde à subjetividade, atuando para reconhecer e prevenir os transtornos alimentares em mulheres com diabetes e minimizar a adoção de ações prejudiciais à saúde.

Extreme Risk-Taking Behaviors in Patients With Eating Disorders

BACKGROUND

Patients with eating disorders (EDs) engage in different self-inflicted at-risk behaviors, including suicide, attempted suicide and non-suicidal self-injury. Our aim was to describe the occurrence and underlying motivations of non-suicidal extreme risk-taking behaviors in patients with EDs.

METHODS

Four cases from different treatment centers in Israel were analyzed.

RESULTS

All patients were females hospitalized in inpatient settings because of long lasting anorexia nervosa (AN) with either binge/purge or purging episodes (AN-B/P/AN-P), including in most cases both self-induced voting and laxative abuse. Case [1] was an adolescent also diagnosed with type 1 diabetes mellitus. She abused insulin, both omission and overdose, was highly suicidal, and suffered from comorbid oppositional behavior, depression and anxiety. Case [2] was a 24-years old woman, transitioning from restricting to AN with vomiting and laxative use during inpatient treatment. She was also diagnosed with attention deficit hyperactivity disorder, depression, anxiety, and suicidal thoughts. In hospital, she developed excessive water consumption, leading to very low urine concentrations and sodium levels, and one episode of loss of consciousness. Case [3] was in her late thirties, demonstrating particularly massive laxative abuse. She also suffered from alcohol addiction, sexual trauma, and one attempted suicide. During hospitalization she developed laxative-abuse-related rectal prolapse that was successfully operated. Nonetheless, after operation she resumed laxative abuse. Case [4] was a 23-year old pregnant women with highly active AN-B/P during pregnancy. She was hospitalized at 23 weeks of gestation following abdominal pressure. She only partly complied with inpatient treatment, discharged herself against medical advice after 5 weeks, and gave birth at week 34.

DISCUSSION

All cases were females with long-standing B/P type AN, often with multiple purging behaviors, other impulsive and non-impulsive comorbidities, and many environmental vulnerabilities. Different motivations were found for these extreme behaviors in addition to ED-related factors, mostly not related to suicide. The severity of the medical and psychological condition required multimodal medical and psychological inpatient interventions. The patients mostly did not comply with their treatment, showing considerable indifference to their grave medical condition.

Association of Adverse Childhood Experiences with Glycemic Control and Lipids in Children with Type 1 Diabetes

Adverse childhood experiences (ACE) have been associated with a greater prevalence of risky behaviors and chronic health conditions, such as diabetes in adulthood. While adolescents with risk taking behaviors experience worsening of diabetic metabolic control, it is yet to be determined whether glycemic management in children and adolescents is negatively and independently influenced by ACEs. This study examines the relationship between ACEs in children and adolescents with type 1 diabetes (T1DM) and glycemic control, BMI and lipids. For such children, we hypothesized that hemoglobin A1c (HbA1c) is positively correlated with ACE scores. Parents of children (age 2–18 years) with T1DM completed a validated ACE questionnaire. The associations between parent and child ACE score and HbA1c, lipids and BMI z-scores were assessed using linear regression. The prevalence of any ACE was 27.9% among children and 49.0% among parents. HbA1c was significantly higher in children who had exposure to three or more ACEs (β: 0.63 (4.5 mmol/mol); p = 0.02), in those who had a parent exposed to four or more ACEs (β: 0.87 (7.2 mmol/mol); p = 0.03), in children who had exposure to household incarceration (β: 0.62 (4.4 mmol/mol); p = 0.05) and children who witnessed or had been victim of violence in the neighborhood (β: 0.71 (5.4 mmol/mol); p = 0.02). ACEs were highly prevalent among children with T1DM and had a positive association with glycemic control.

5. Facilitating Behavior Change and Well-being to Improve Health Outcomes: Standards of Medical Care in Diabetes-2020

The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc20-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc20-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

End-to-End Learning of Decision Trees and Forests

Conventional decision trees have a number of favorable properties, including a small computational footprint, interpretability, and the ability to learn from little training data. However, they lack a key quality that has helped fuel the deep learning revolution: that of being end-to-end trainable. Kontschieder et al. (ICCV, 2015) have addressed this deficit, but at the cost of losing a main attractive trait of decision trees: the fact that each sample is routed along a small subset of tree nodes only. We here present an end-to-end learning scheme for deterministic decision trees and decision forests. Thanks to a new model and expectation–maximization training scheme, the trees are fully probabilistic at train time, but after an annealing process become deterministic at test time. In experiments we explore the effect of annealing visually and quantitatively, and find that our method performs on par or superior to standard learning algorithms for oblique decision trees and forests. We further demonstrate on image datasets that our approach can learn more complex split functions than common oblique ones, and facilitates interpretability through spatial regularization.

Disordered Eating Behaviors in Youth and Young Adults With Type 1 or Type 2 Diabetes Receiving Insulin Therapy: The SEARCH for Diabetes in Youth Study

OBJECTIVE

This study examines the prevalence of disordered eating behaviors (DEB) and its associations with glycemic control, insulin sensitivity (IS), and psychosocial functioning in a large, diverse cohort of youth and young adults with type 1 or type 2 diabetes.

RESEARCH DESIGN AND METHODS

In the SEARCH for Diabetes in Youth study, 2,156 youth and young adults with type 1 diabetes (mean ± SD age 17.7 ± 4.3 years; 50.0% female) and 149 youth and young adults with type 2 diabetes (age 21.8 years ± 3.5; 64.4% female) who were receiving insulin therapy completed the Diabetes Eating Problem Survey-Revised (DEPS-R), a self-reported measure for identifying disordered eating. DEB were defined as a DEPS-R score ≥20. Demographic characteristics, clinical measures, and health behaviors of participants with DEB and those without DEB were compared by using t tests.

RESULTS

DEB were observed in 21.2% of participants with type 1 diabetes and 50.3% of participants with type 2 diabetes. Participants encountered challenges in maintaining a healthy weight while controlling their diabetes. For both types of diabetes, individuals with DEB had a significantly higher BMI z score, lower insulin sensitivity, more depressive symptoms, and poorer quality of life than those without DEB. Diabetic ketoacidosis episodes occurred more frequently in youth with type 1 diabetes with DEB compared to those without DEB.

CONCLUSIONS

These findings highlight that DEB are prevalent among youth and young adults with type 1 and type 2 diabetes and who are receiving insulin therapy, and DEB are associated with poorer clinical outcomes and psychosocial well-being. Heightened awareness and early interventions are needed to address DEB for this at-risk population, as are longitudinal studies evaluating the course of DEB and diabetes outcomes.

Association of insulin-manipulation and psychiatric disorders: A systematic epidemiological evaluation of adolescents with type 1 diabetes in Austria

BACKGROUND/OBJECTIVE

The aim of this study was to systematically assess the association of insulin-manipulation (intentional under- and/or overdosing of insulin), psychiatric comorbidity and diabetes complications.

METHODS

Two diagnostic interviews (Diabetes-Self-Management-Patient-Interview and Children's-Diagnostic-Interview for Psychiatric Disorders) were conducted with 241 patients (age 10-22) with type 1 diabetes (T1D) from 21 randomly selected Austrian diabetes care centers. Medical data was derived from medical records.

RESULTS

Psychiatric comorbidity was found in nearly half of the patients with insulin-manipulation (46.3%) compared to a rate of 17.5% in patients, adherent to the prescribed insulin therapy. Depression (18.3% vs 4.9%), specific phobia (21.1% vs 2.9%), social phobia (7.0% vs 0%), and eating disorders (12.7% vs 1.9%) were elevated in patients with insulin-manipulation. Females (37.7%) were more often diagnosed (P = 0.001) with psychiatric disorders than males (18.4%). In females, the percentage of psychiatric comorbidity significantly increased with the level of non-adherence to insulin therapy. Insulin-manipulation had an effect of +0.89% in HbA1c (P = <0.001) compared to patients adherent to insulin therapy, while there was no association of psychiatric comorbidity with metabolic control (HbA1c 8.16% vs 8.12% [65.68 vs 65.25 mmol/mol]). Ketoacidosis, severe hypoglycemia, and frequency of outpatient visits in a diabetes center were highest in patients with insulin-manipulation.

CONCLUSIONS

This is the first study using a systematic approach to assess the prevalence of psychiatric disorders in patients who do or do not manipulate insulin in terms of intentional under- and/or overdosing. Internalizing psychiatric disorders were associated with insulin-manipulation, especially in female patients and insulin-manipulation was associated with deteriorated metabolic control and diabetes complications.

4. Comprehensive Medical Evaluation and Assessment of Comorbidities: Standards of Medical Care in Diabetes-2019

The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Health-risk Behaviors and Type 1 Diabetes Outcomes in the Transition from Late Adolescence to Early Emerging Adulthood

This study examined within- and between-person associations between health-risk behaviors (smoking, drinking, insulin withholding) and type 1 diabetes (T1D) outcomes (adherence and HbA1c) during the high-risk transition from late adolescence to early emerging adulthood utilizing a 2-year longitudinal study. Beginning in the senior year of high school, participants (n = 197) with T1D completed measures of health-risk behaviors, adherence, and HbA1c annually at three time points. Health-risk behaviors were associated with poorer diabetes outcomes during the transition from late adolescence to early emerging adulthood. These results highlight the importance of monitoring health-risk behaviors regularly and intervening to reduce health-risk behaviors during this important developmental transition.

Disordered eating and insulin restriction in type 1 diabetes: A systematic review and testable model

AIM

To provide an overview of the existing literature pertaining to insulin restriction as a disordered eating behaviour in individuals with type 1 diabetes and present a novel maintenance model: The Transdiagnostic Model of Disordered Eating in Type 1 Diabetes.

METHOD

A systematic review was conducted of the current literature relevant to insulin restriction and/or omission in the context of disordered eating in type 1 diabetes. A new maintenance model was then developed by incorporating diabetes-specific factors into existing eating disorder models.

RESULTS

Type 1 diabetes may complicate the development and maintenance of disordered eating behaviour. Diabetes-specific circumstances, including disease diagnosis, insulin management, insulin restriction, and diabetes-related complications, contribute to the maintenance of disordered eating cognitions and behaviours.

DISCUSSION

The proposed model offers a comprehensive representation of insulin restriction as a disordered eating behaviour in type 1 diabetes. Future research should test the model to further understand the mechanisms underlying disordered eating in type 1 diabetes and inform treatments for this at-risk population.

Disordered Eating Behaviors Are Not Increased by an Intervention to Improve Diet Quality but Are Associated With Poorer Glycemic Control Among Youth With Type 1 Diabetes

OBJECTIVE

This study examines whether participation in an 18-month behavioral intervention shown previously to improve overall diet quality inadvertently increases disordered eating behaviors (DEBs) in youth with type 1 diabetes and investigates the association of DEB with multiple measures of glycemic control and variability.

RESEARCH DESIGN AND METHODS

Participants reported DEB and diabetes management at baseline and 6, 12, and 18 months; masked continuous glucose monitoring, HbA_1c, and 1,5-anhydroglucitol (1,5-AG) were obtained concurrently. Linear mixed models estimated the intervention effect on DEB, the association of DEB with diabetes adherence and measures of glycemic control and variability, and whether DEB modified glycemic trajectories.

RESULTS

There was no intervention effect on DEB (P = 0.84). DEB was associated with higher HbA_1c (P = 0.001), mean sensor glucose (P = 0.001), and percent sensor glucose values >180 mg/dL (P = <0.001); with lower 1,5-AG (P = 0.01); and with worse diabetes adherence (P = 0.03). DEB was not associated with percent sensor glucose values <70 mg/dL or any measures of glycemic variability. There was a significant DEB × time interaction effect for mean sensor glucose (P = 0.05) and percent sensor glucose values >180 mg/dL (P = 0.04). Participants reporting less DEB had a developmentally expected deterioration in glycemic control throughout the study. Participants reporting more DEB had poor glycemic control at baseline that remained poor throughout the study.

CONCLUSIONS

Findings show a potential to improve diet quality without increasing DEB and indicate an association of DEB with persistent hyperglycemia but not hypoglycemia or glycemic variability.

3. Comprehensive Medical Evaluation and Assessment of Comorbidities: Standards of Medical Care in Diabetes-2018

The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Eating Disorders and Disordered Eating Symptoms in Adolescents with Type 1 Diabetes

Eating problems in adolescents with type 1 diabetes (T1D) can be divided into two groups. The first includes the diagnosed eating disorders (EDs), i.e., diseases specifically identified by defined signs and symptoms for which a degree of severity has been established, such as anorexia nervosa, bulimia nervosa, binge-eating disorder, pica, and rumination. The second is the group of disordered eating symptoms (DES), which include behaviors such as dieting for weight loss, binge eating, self-induced vomiting, excessive exercise, and laxative or diuretic use; these behaviors cannot be categorized as complete diseases, and, although apparently mild, they must be closely evaluated because they can evolve into true EDs. In this review, present knowledge about the clinical relevance of EDs and DES and the possible preventive and therapeutic measures used to reduce their impact on the course of T1D will be discussed. As adolescents with diabetes are at higher risk of eating disturbances and consequently for higher rates of disease complications, care providers should pay attention to clinical warning signs that raise suspicion of disturbed eating to refer these patients early to an expert in nutrition and mental health disorders. To ensure the best care for adolescents with T1D, diabetes teams should be multidisciplinary and include a pediatric diabetologist, a skilled nurse, a dietician, and a psychologist.

Improving School Experiences for Adolescents With Type 1 Diabetes

BACKGROUND

Diabetes mellitus (diabetes) is one of the most common metabolic diseases in children worldwide and the incidence of type 1 diabetes (T1D) is growing. T1D is complicated to manage and adolescents with diabetes face unique, age-specific challenges. The purpose of this article is to discuss ways in which schools can create a positive environment and improve the experiences and outcomes for adolescents with T1D.

METHODS

The Cumulative Index of Nursing and Allied Health Literature (CINAHL) and PubMed databases were searched and yielded a total of 27 articles that were used in this integrative literature review.

RESULTS

Common concerns identified by students with T1D and their parents included a lack of full-time school nurses, lack of teacher knowledge of diabetes, lack of access to diabetes tools, lack of freedom to perform diabetes self-care, lack of nutritional information in cafeterias, and lack of communication between parents and school personnel. Students who are unable to attend school on a daily basis may not be able to achieve their academic potential.

CONCLUSIONS

Implications for school health including specifics for school nurses, teachers, students, and school environment were identified.

Machine Learning and Data Mining Methods in Diabetes Research

The remarkable advances in biotechnology and health sciences have led to a significant production of data, such as high throughput genetic data and clinical information, generated from large Electronic Health Records (EHRs). To this end, application of machine learning and data mining methods in biosciences is presently, more than ever before, vital and indispensable in efforts to transform intelligently all available information into valuable knowledge. Diabetes mellitus (DM) is defined as a group of metabolic disorders exerting significant pressure on human health worldwide. Extensive research in all aspects of diabetes (diagnosis, etiopathophysiology, therapy, etc.) has led to the generation of huge amounts of data. The aim of the present study is to conduct a systematic review of the applications of machine learning, data mining techniques and tools in the field of diabetes research with respect to a) Prediction and Diagnosis, b) Diabetic Complications, c) Genetic Background and Environment, and e) Health Care and Management with the first category appearing to be the most popular. A wide range of machine learning algorithms were employed. In general, 85% of those used were characterized by supervised learning approaches and 15% by unsupervised ones, and more specifically, association rules. Support vector machines (SVM) arise as the most successful and widely used algorithm. Concerning the type of data, clinical datasets were mainly used. The title applications in the selected articles project the usefulness of extracting valuable knowledge leading to new hypotheses targeting deeper understanding and further investigation in DM.

Eating disorders in adolescents with type 1 diabetes: Challenges in diagnosis and treatment

Eating disorders (ED) are characterized by a persistent disturbance of eating that impairs health or psychosocial functioning. They are associated with increased rates of medical complications and mortality. Insulin omission is a unique purging behavior available to individuals with type 1 diabetes mellitus (T1DM). The standard treatment regimen for T1DM requires a major focus on food and eating patterns. Moreover, intensive insulin therapy is associated with increasing body weight. These factors, combined with the psychological burden of chronic disease management and depression, may contribute to ED. The comorbidity of ED in T1DM patients is associated with poorer glycemic control and consequently higher rates of diabetes complications. Early recognition and adequate treatment of ED in T1DM is essential.

Prevalence of overweight, obesity and metabolic syndrome components in children, adolescents and young adults with type 1 diabetes mellitus

BACKGROUND

We aimed to determine the prevalence of overweight and obesity among children, adolescents and young adults with type 1 diabetes mellitus (T1DM), and to assess the prevalence of the metabolic syndrome and its components.

METHODS

The study cohort comprised 326 (168 women) consecutive patients aged 5 to 30 years diagnosed with T1DM and followed up in the Juvenile Diabetes Clinic, Maccabi Health Care Services. Anthropometric measurements, blood pressure, presence of additional diseases, other medications, HbA1c , triglycerides and high density lipoprotein cholesterol levels were obtained.

RESULTS

The mean age in the study group was 18.5 ± 6.0 years, and the mean diabetes duration was 8.7 ± 5.0 years. Mean HbA1c level was 8.1 ± 1.3%. Nineteen per cent of the study population was overweight (85th > body mass index < 95th percentile) and 5.2% was obese (body mass index ≥ 95th percentile). Female patients aged 15 ≤ 18 and 18 ≤ 25 years were significantly overweight compared with healthy Israeli women in the same age groups, 33.3% versus 12.7% and 26.3% versus 7.8%, respectively, p < 0001. There were no obese female patients in the 15 ≤ 18 age group. Among the men in all age groups, there was no difference in the prevalence of overweight and obesity compared with healthy men in the general population. There was no difference in the age of onset, disease duration, HbA1c levels, treatment with anti-depressants and associated morbidities between the normal weight, overweight and obese groups. Obese patients had lower levels of HDL and increased prevalence of hypertension and metabolic syndrome.

CONCLUSIONS

Overweight but not obesity was more prevalent in women with T1DM. Metabolic syndrome and its components were more prevalent among overweight and obese individuals with T1DM than among normal weight individuals.

Trajectories of HbA1c levels in children and youth with type 1 diabetes

Purpose

To illustrate the distribution of Hemoglobin A1c (HbA1c) levels according to age and gender among children, adolescents and youth with type 1 diabetes (T1DM).

Methods

Consecutive HbA1c measurements of 349 patients, aged 2 to 30 years with T1DM were obtained from 1995 through 2010. Measurement from patients diagnosed with celiac disease (n = 20), eating disorders (n = 41) and hemoglobinopathy (n = 1) were excluded. The study sample comprised 4815 measurements of HbA1c from 287 patients. Regression percentiles of HbA1c were calculated as a function of age and gender by the quantile regression method using the SAS procedure QUANTREG.

Results

Crude percentiles of HbA1c as a function of age and gender, and the modeled curves produced using quantile regression showed good concordance. The curves show a decline in HbA1c levels from age 2 to 4 years at each percentile. Thereafter, there is a gradual increase during the prepubertal years with a peak at ages 12 to 14 years. HbA1c levels subsequently decline to the lowest values in the third decade. Curves of females and males followed closely, with females having HbA1c levels about 0.1% (1.1 mmol/mol) higher in the 25^th 50^th and 75^th percentiles.

Conclusion

We constructed age-specific distribution curves for HbA1c levels for patients with T1DM. These percentiles may be used to demonstrate the individual patient's measurements longitudinally compared with age-matched patients.

Disinhibited eating and weight-related insulin mismanagement among individuals with type 1 diabetes

OBJECTIVE

Withholding insulin for weight control is a dangerous practice among individuals with type 1 diabetes; yet little is known about the factors associated with this behavior. Studies of nondiabetic individuals with weight concerns suggest that eating in a disinhibited manner (e.g., binge eating) predicts the use of maladaptive compensatory strategies (e.g., self-induced vomiting). The purpose of this study was to test whether individuals with type 1 diabetes are less restrained in their eating when they think their blood glucose (BG) is low and whether this contributes to insulin omission for weight control purposes and subsequently higher hemoglobin A1c (HbA1c).

METHODS

Two-hundred and seventy-six individuals with type 1 diabetes completed an online survey of eating behaviors, insulin dosing and most recent HbA1c. We used structural equation modeling to test the hypothesis that disinhibited eating when blood sugar is thought to be low predicts weight-related insulin mismanagement, and this, in turn, predicts higher HbA1c.

RESULTS

The majority of participants endorsed some degree of disinhibition when they think their blood glucose is low (e.g., eating foods they do not typically allow) and corresponding negative affect (e.g., guilt/shame). The frequency of disinhibited eating was positively associated with weight-related insulin mismanagement. Controlling for age, sex, education, and insulin pump use, the model explained 31.3% of the variance in weight-related insulin mismanagement and 16.8% of the variance in HbA1c.

CONCLUSION

Addressing antecedents to disinhibited eating that are unique to type 1 diabetes (e.g., perceived BG level) and associated guilt or shame may reduce weight-related insulin omission.