Relationship Between Parental Diabetes and Presentation of Metabolic and Glycemic Function in Youth With Type 2 Diabetes: Baseline Findings From the TODAY Trial.

OBJECTIVE: Children whose parents have diabetes are at increased risk for developing type 2 diabetes. This report assessed relationships between parental diabetes status and baseline demographics, anthropometrics, metabolic measurements, insulin sensitivity, and ß-cell function in children recently diagnosed with type 2 diabetes. RESEARCH DESIGN AND METHODS: The sample included 632 youth (aged 10-17 years) diagnosed with type 2 diabetes for <2 years who participated in the TODAY clinical trial. Medical history data were collected at baseline by self-report from parents and family members. Youth baseline measurements included an oral glucose tolerance test and other measures collected by trained study staff. RESULTS: Youth exposed to maternal diabetes during pregnancy (whether the mother was diagnosed with diabetes prior to pregnancy or had gestational diabetes mellitus) were diagnosed at younger ages (by 0.6 years on average), had greater dysglycemia at baseline (HbA1c increased by 0.3% [3.4 mmol/mol]), and had reduced ß-cell function compared with those not exposed (C-peptide index 0.063 vs. 0.092). The effect of maternal diabetes on ß-cell function was observed in non-Hispanic blacks and Hispanics but not whites. Relationships with paternal diabetes status were minimal. CONCLUSIONS: Maternal diabetes prior to or during pregnancy was associated with poorer glycemic control and ß-cell function overall but particularly in non-Hispanic black and Hispanic youth, supporting the hypothesis that fetal exposure to aberrant metabolism may have long-term effects. More targeted research is needed to understand whether the impact of maternal diabetes is modified by racial/ethnic factors or whether the pathway to youth-onset type 2 diabetes differs by race/ethnicity.

Lipid elimination with an echo-shifting N/2-ghost acquisition (LEENA) MRI.

PURPOSE: The Dixon techniques provide uniform water-fat separation but require multiple image sets, which extend the overall acquisition time. Here, an alternative rapid single acquisition method, lipid elimination with an echo-shifting N/2-ghost acquisition (LEENA), was introduced. METHODS: The LEENA method utilized a fast imaging with steady-state free precession sequence to obtain a single k-space dataset in which successive k-space lines are acquired to allow the fat magnetization to precess 180°. The LEENA data were then unghosted using either image-domain (LEENA-S) or k-space domain (LEENA-G) parallel imaging techniques to reconstruct water-only and fat-only images. An off-resonance correction technique was incorporated to improve the uniformity of the water-fat separation. RESULTS: Uniform water-fat separation was achieved for both the LEENA-S and LEENA-G methods for phantom and human body and leg imaging applications at 1.5T and 3T. The resultant water and fat images were qualitatively similar to conventional 2-point Dixon and fat-suppressed images. CONCLUSION: The LEENA-S and LEENA-G methods provide uniform water and fat images from a single MRI acquisition. These straightforward methods can be adapted to 1.5T and 3T clinical MRI scanners and provide comparable fat/water separation with conventional 2-point Dixon and fat-suppression techniques.

Relationships among stressful life events and physiological markers, treatment adherence, and psychosocial functioning among youth with type 2 diabetes.

OBJECTIVE: To examine the relationships between stressful life events and physiological measures, adherence to prescribed oral medication regimens, depressive symptoms, and impaired quality of life (QoL) in adolescents with recent-onset type 2 diabetes (T2D). STUDY DESIGN: Data were collected from 497 ethnically diverse participants (66% female) in the final year of the Treatment Options for Type 2 Diabetes in Adolescents and Youth multicenter clinical trial. Exposure to 32 possible events over the previous year and rating of subsequent distress were collected by self-report and summarized as a major stressors score. This score was analyzed for relationship to glycemic control (hemoglobin A1c and treatment failure), body mass index, diagnosis of hypertension or triglyceride dyslipidemia, adherence to a prescribed oral medication regimen, presence of depressive symptoms, and impaired QoL. RESULTS: The total number of major stressful life events in the adolescents with T2D was calculated, with 33% reporting none, 67% reporting ≥ 1, 47% reporting ≥ 2, 33% reporting ≥ 3, and 20% reporting ≥ 4. There were no associations between the major stressors score and physiological measures or diagnosis of comorbidities. The odds of medication nonadherence increased significantly from those reporting ≥ 1 major stressor (OR, 1.58; P = .0265) to those reporting ≥ 4 major stressors (OR, 2.70; P = .0009). Significant odds of elevated depressive symptoms and impaired QoL were also found with increased reporting of major stressors. CONCLUSION: Exposure to major stressful life events is associated with lower adherence to prescribed oral medication regimens and impaired psychosocial functioning in adolescents with T2D.

Anthropometric indices as measures of body fat assessed by DXA in relation to cardiovascular risk factors in children and adolescents: NHANES 1999-2004.

OBJECTIVE: Anthropometrics are commonly used indices of total and central adiposity. No study has compared anthropometric measurements to dual-energy X-ray absorptiometry (DXA) measurements as correlates of cardiovascular risks in a nationally representative sample of youth. We aimed to evaluate the validity of anthropometrics compared to DXA-assessed adiposity in relation to cardiovascular risks in youth aged 8-19 years. METHODS: Data were from the National Health and Nutrition Examination Survey 1999-2004 (n=7013). We examined the correlations between anthropometric and DXA measures of adiposity (i.e., body mass index (BMI) versus percent fat mass (%FM) and fat mass index, and waist circumference (WC) and waist-to-height ratio (WHtR) versus percent trunk fat mass (%TFM)) with nine cardiovascular risks, stratified by sex and age, or race-ethnicity. RESULTS: Anthropometric and DXA adiposity measures were significantly correlated with insulin (r: 0.48 to 0.66), C-reactive protein (r: 0.47 to 0.58), triglycerides (r: 0.15 to 0.41), high-density lipoprotein cholesterol (HDL-C, r: -0.44 to -0.22), systolic blood pressure (SBP, r: 0.10 to 0.31), low-density lipoprotein cholesterol (r: 0.09 to 0.30), total cholesterol (TC, r: 0.01 to 0.29) and glucose (r: 0.05 to 0.20). Only in all youth, BMI was more strongly correlated with SBP (0.22 vs. 0.12, P<0.0001) and HDL-C (-0.34 vs. -0.25, P<0.0001) than %FM; WC but not WHtR was more strongly correlated with HDL-C (-0.37 vs. -0.30, P<0.0001) but less strongly associated with TC (0.12 vs. 0.21, P<0.0001) than %TFM. CONCLUSIONS: DXA adiposity measures do not produce stronger associations with cardiovascular risk factors in youth than BMI or WC.

Development and validation of a questionnaire to assess carbohydrate and insulin-dosing knowledge in youth with type 1 diabetes.

OBJECTIVE The American Diabetes Association advocates insulin regimens for youth with type 1 diabetes that involve adjusting insulin dose based on carbohydrate intake and blood glucose level. Implementing these regimens requires knowledge about carbohydrate content of foods and subsequent calculations of insulin dose, skills that may be difficult to gauge in practice. Therefore, we sought to develop and validate a questionnaire, the PedCarbQuiz (PCQ), to assess carbohydrate and insulin-dosing knowledge in youth with type 1 diabetes. RESEARCH DESIGN AND METHODS After development by an expert panel, the PCQ was administered to 75 youth with type 1 diabetes or their parents. Reliability was assessed by Cronbach alpha and split-half testing. To assess validity, scores were correlated with A1C, expert assessments, parent educational level, and complexity of insulin regimen. RESULTS PCQ mean score was 87 +/- 9.7% (range 42-98%). Cronbach alpha was 0.88, and correlation of split halves was 0.59 (P < 0.0001). Higher PCQ scores correlated significantly with lower A1C (r = -0.29, P = 0.01) and expert assessments (r = 0.56, P < 0.001). Scores were significantly higher in parents with college degrees than in those without (P = 0.01) and in participants with more complex insulin regimens (P = 0.003). CONCLUSIONS The PCQ is a novel, easily administered instrument to assess knowledge about carbohydrates and insulin dosing calculations. Initial analyses support the reliability and validity of the PCQ.