The Effect of Multidisciplinary Lifestyle Intervention on the Pre- and Postprandial Plasma Gut Peptide Concentrations in Children with Obesity

Objective. This study aims to evaluate the effect of a multidisciplinary treatment of obesity on plasma concentrations of several gut hormones in fasting condition and in response to a mixed meal in children. Methods. Complete data were available from 36 obese children (age 13.3 ± 2.0 yr). At baseline and after the 3-month multidisciplinary treatment, fasting and postprandial blood samples were taken for glucose, insulin, ghrelin, peptide YY (PYY), and glucagon-like peptide 1 (GLP-1). Results. BMI-SDS was significantly reduced by multidisciplinary treatment (from 4.2 ± 0.7 to 4.0 ± 0.9, P < .01). The intervention significantly increased the area under the curve (AUC) of ghrelin (from 92.3 ± 18.3 to 97.9 ± 18.2 pg/L, P < .01), but no significant changes were found for PYY or GLP-1 concentrations (in fasting or postprandial condition). The insulin resistance index (HOMA-IR) remained unchanged as well. Conclusion. Intensive multidisciplinary treatment induced moderate weight loss and increased ghrelin secretion, but serum PYY and GLP-1 concentrations and insulin sensitivity remained unchanged

Parental Diabetes Behaviors and Distress Are Related to Glycemic Control in Youth with Type 1 Diabetes:Longitudinal Data from the DINO Study

Objective. To evaluate (1) the longitudinal relationship between parental well-being and glycemic control in youth with type 1 diabetes and (2) if youth’s problem behavior, diabetes parenting behavior, and parental diabetes-distress influence this relationship. Research Design and Methods. Parents of youth 8–15 yrs (at baseline) (N=174) participating in the DINO study completed questionnaires at three time waves (1 yr interval). Using generalized estimating equations, the relationship between parental well-being (WHO-5) and youth’s HbA1c was examined. Second, relationships between WHO-5, Strength and Difficulties Questionnaire (SDQ), Diabetes Family Behavior Checklist (DFBC), Problem Areas In Diabetes-Parent Revised (PAID-Pr) scores, and HbA1c were analyzed. Results. Low well-being was reported by 32% of parents. No relationship was found between parents’ WHO-5 scores and youth’s HbA1c (β=−0.052, p=0.650). WHO-5 related to SDQ (β=−0.219, p<0.01), DFBC unsupportive scale (β=−0.174, p<0.01), and PAID-Pr (β=−0.666, p<0.01). Both DFBC scales (supportive β=−0.259, p=0.01; unsupportive β=0.383, p=0.017), PAID-Pr (β=0.276, p<0.01), and SDQ (β=0.424, p<0.01) related to HbA1c. Conclusions. Over time, reduced parental well-being relates to increased problem behavior in youth, unsupportive parenting, and parental distress, which negatively associate with HbA1c. More unsupportive diabetes parenting and distress relate to youth’s problem behavior

Youth With Type 1 Diabetes Taking Responsibility for Self-Management: The Importance of Executive Functioning in Achieving Glycemic Control: Results From the Longitudinal DINO Study

OBJECTIVE: Successful self-management of type 1 diabetes requires cognitive skills such as executive functioning (EF). In the transition to adolescence, youth take over responsibility for diabetes management. We set out to test: 1) the association between EF and glycemic control over time and 2) whether this association was moderated by: a) youth, shared, or parent responsibility for diabetes management and b) youth's age. RESEARCH DESIGN AND METHODS: Within the Diabetes IN DevelOpment study (DINO), parents of youth with type 1 diabetes (8-15 years at baseline; N = 174) completed a yearly assessment over 4 years. Glycemic control (HbA1c) was derived from hospital charts. Youth's EF was measured using the Behavior Rating Inventory of Executive Functioning (BRIEF)-parent report. The Diabetes Family Responsibility Questionnaire (DFRQ)-parent report was used to assess diabetes responsibility (youth, shared, and parent). Linear generalized estimating equations were used to analyze data including youth's sex, age, and age of diabetes onset as covariates. RESULTS: Relatively more EF problems are significantly associated with higher HbA1c over time (β = 0.190; P = 0.002). More EF problems in combination with less youth responsibility (β = 0.501; P = 0.048) or more parental responsibility (β = -0.767; P = 0.006) are significantly associated with better glycemic control over time. Only age significantly moderates the relationship among EF problems, shared responsibility, and glycemic control (β = -0.024; P = 0.019). CONCLUSIONS: Poorer EF is associated with worse glycemic control over time, and this association is moderated by responsibility for diabetes management tasks. This points to the importance of EF when youth take over responsibility for diabetes management in order to achieve glycemic control

Disturbed eating behaviors in adolescents with type 1 diabetes. How to screen for yellow flags in clinical practice?

Background: Adolescents with type 1 diabetes are at an increased risk of disturbed eating behaviors (DEBs). Objective: The aims of this study are to (i) explore the prevalence of DEBs and associated yellow flags', and (ii) establish concordance between adolescents-parents and adolescents-clinicians with respect to DEBs. Methods: Adolescents (11-16yr) and parents completed questionnaires. A stepwise approach was used to assess DEBs: only adolescents whose answers raised psychological yellow flags for DEBs completed the Diabetes Eating Problems Scale-Revised and questions from the AHEAD study. Parents and clinicians shared their observations regarding possible DEBs. Kruskal-Wallis tests, post hoc Mann-Whitney U test, and chi-squared tests were utilized to examine clinical yellow flags. Cohen's kappa was used to assess concordance. Results: Of 103 adolescents participated (51.5% girls), answers of 47 (46.5%) raised psychological yellow flags, indicating body and weight concerns. A total of 8% scored above cut-off for DEBs. Clinical yellow flags were elevated glycated hemoglobin A1c (p=0.004), older age (p=0.034), dieting frequency (p=0.001), reduced quality of life (p=0.007), less diabetes self-confidence (p=0.015), worsened diabetes management (p Discussion: Half of the adolescents reported body and weight concerns, less than 1 in 10 reported DEBs. Screening for yellow flags for DEBs as a part of clinical routine using a stepwise approach and early assistance is recommended to prevent onset or deterioration of DEBs

Objective Home-Monitoring of Physical Activity, Cardiovascular Parameters, and Sleep in Pediatric Obesity

INTRODUCTION: Clinical research and treatment of childhood obesity is challenging, and objective biomarkers obtained in a home-setting are needed. The aim of this study was to determine the potential of novel digital endpoints gathered by a home-monitoring platform in pediatric obesity. METHODS: In this prospective observational study, 28 children with obesity aged 6–16 years were included and monitored for 28 days. Patients wore a smartwatch, which measured physical activity (PA), heart rate (HR), and sleep. Furthermore, daily blood pressure (BP) measurements were performed. Data from 128 healthy children were utilized for comparison. Differences between patients and controls were assessed via linear mixed effect models. RESULTS: Data from 28 patients (average age 11.6 years, 46% male, average body mass index 30.9) and 128 controls (average age 11.1 years, 46% male, average body mass index 18.0) were analyzed. Patients were recruited between November 2018 and February 2020. For patients, the median compliance for the measurements ranged from 55% to 100% and the highest median compliance was observed for the smartwatch-related measurements (81–100%). Patients had a lower daily PA level (4,597 steps vs. 6,081 steps, 95% confidence interval [CI] 862–2,108) and peak PA level (1,115 steps vs. 1,392 steps, 95% CI 136–417), a higher nighttime HR (81 bpm vs. 71 bpm, 95% CI 6.3–12.3) and daytime HR (98 bpm vs. 88 bpm, 95% CI 7.6–12.6), a higher systolic BP (115 mm Hg vs. 104 mm Hg, 95% CI 8.1–14.5) and diastolic BP (76 mm Hg vs. 65 mm Hg, 95% CI 8.7–12.7), and a shorter sleep duration (difference 0.5 h, 95% CI 0.2–0.7) compared to controls. CONCLUSION: Remote monitoring via wearables in pediatric obesity has the potential to objectively measure the disease burden in the home-setting. The novel endpoints demonstrate significant differences in PA level, HR, BP, and sleep duration between patients and controls. Future studies are needed to determine the capacity of the novel digital endpoints to detect effect of interventions

Diabetes IN develOpment (DINO): The bio-psychosocial, family functioning and parental well-being of youth with type 1 diabetes: A longitudinal cohort study design

Background Strict glycemic control during adolescence decreases the risk of developing complications later in life, even if this level of control is not maintained afterwards. However, the majority of adolescents with type 1 diabetes (T1D) are in poor control and so far medical or psychological interventions have shown limited success. Adolescence is characterized by major biological, psychosocial, cognitive and parent–child relationship changes and the complex interaction between these developmental trajectories, and its impact on health outcomes is still poorly understood. A specific topic of interest in this context is the timing of diagnosis. The longitudinal study DINO (Diabetes IN develOpment) aims to examine: 1) If and how the onset of T1D before vs. during puberty results in different outcomes of glycemic control, self-management, psychological functioning and diabetes-related quality of life. 2) The timing of onset of disturbed eating behavior, its risk factors and its prospective course in relation to glycemic and psychological consequences. 3) If and how the onset of T1D before vs. during puberty results in different family functioning and parental well-being. 4) If and how the cognitive development of youth with T1D relates to glycemic control and diabetes self-management. Methods/design DINO, a longitudinal multi-center cohort study is conducted in youth with T1D in the age range 8–15 years at baseline. Participants will be divided into two subgroups: pre-pubertal and pubertal. Both groups will be followed for 3 years with assessments based on a bio-psychosocial model of diabetes, scheduled at baseline, 12 months, 24 months and 36 months examining the biological, psychosocial -including disturbed eating behaviors- and cognitive development, family functioning and parental well-being. Discussion A better understanding of how the different trajectories affect one another will help to gain insight in the protective and risk factors for glycemic outcomes and in who needs which support at what moment in time. First results are expected in 2016. Keywords: Type 1 diabetes, Development, Youth, Quality of life, Well-being, Adolescence, Cognition, HbA1c, Psychosocial, Parent

The effect of family-based multidisciplinary cognitive behavioral treatment in children with obesity: study protocol for a randomized controlled trial

<p>Abstract</p> <p>Background</p> <p>The prevalence of childhood obesity has increased rapidly during the last three decades in the Netherlands. It is assumed that mainly environmental factors have contributed to this trend. Parental overweight and low social economic status are risk factors for childhood obesity. Childhood obesity affects self-esteem and has negative consequences on cognitive and social development. Obese children tend to become obese adults, which increases the risk for developing cardiovascular complications, type 2 diabetes mellitus, and psychosocial problems. Additionally, the secretion of several gastrointestinal hormones, responsible for appetite and food intake, is impaired in obese subjects. Weight reduction through lifestyle changes in order to change health risks is, until now, suggested as the preferred treatment for childhood obesity.</p> <p>The objective of this study is the effect evaluation of a family-based cognitive behavioral multidisciplinary lifestyle treatment. The intervention aims to establish long-term weight reduction and stabilization, reduction of obesity-related health consequences and improvement of self-image by change of lifestyle and learning cognitive behavioral techniques.</p> <p>Study design/Methods</p> <p>In this randomized clinical trial newly presented children with obesity (8-17 years old) are divided, by randomization, in an intervention and control group, both consisting of 40 obese children. The intervention is carried out in groups of 8-11 children, and consists of respectively 7 and 5 separate group meetings for the children and their parents and 1 joint group meeting of 2 ½ hours. Main topics are education on nutrition, self-control techniques, social skills, physical activity and improvement of self-esteem. The control group is given advice on physical activity and nutrition. For normal data comparison, data were collected of 40 normal-weight children, 8-17 years old.</p> <p>Discussion</p> <p>Because of the increasing prevalence of childhood obesity and the impact on the individual as well as on society, prevention and treatment of obesity in children is of great importance. For evaluation of short- and long-term effects of the treatment, measurements are taken before and after 3 months of treatment, and after 12 and 24 months follow-up. During these visits clinical and biochemical data are determined, cardiovascular fitness tests are performed and quality of life questionnaires are completed.</p> <p>Trial registration</p> <p>International Standard Randomised Controlled Trial Number Register <a href="http://www.controlled-trials.com/ISRCTN36146436">ISRCTN36146436</a></p