Examining the Impact of Race and Rurality on Health Differences among Overweight Youth Accessing Pediatric Endocrinology Care

Methods: This study examines the impact of race and rurality on health differences, including prevalence of prediabetes and type 2 diabetes (T2D), among overweight children accessing pediatric endocrine specialty care. Cross-sectional analysis of overweight/obese youth 10 to 18 years of age receiving pediatric endocrinology consultation for weight gain, hyperglycemia, and/or T2D from 2013 to 2016 at a Midwest tertiary pediatric center. Results: The 722 patients were 42% white, 25% black, 22% Hispanic; 88% lived in urban areas and 12% in rural areas. Rurality was determined using zip code approximation of Rural-Urban Commuting Area (RUCA) codes. After adjusting for confounders, black patients were 2.26 times (95% CI: 1.26 - 4.11; P = 0.007) more likely than white patients to have T2D. White patients were 1.83 times (95% CI: 1.26 - 2.68; P = 0.002) more likely to have normal glucose metabolism than non-white patients. No significant differences were found between urban and rural populations. Conclusions: Among overweight youth, minorities are more likely to have abnormal glucose metabolism at the time of initial endocrine evaluation compared to white youth. However, rurality does not appear to contribute to the same health disparities. These findings suggest the presence of racial differences in timing of endocrine referrals among overweight children, and underscores the need for future investigation of mechanisms contributing these differences

Progression of comorbidities in youth with overweight or obesity during the COVID-19 pandemic

Abstract Background Childhood obesity rates have continued to increase with the COVID-19 pandemic. However, data are limited on the impact of increasing obesity on associated comorbidities. Methods We evaluated the progression of overweight- or obesity-associated comorbidities by investigating change in laboratory results pre–COVID-19 pandemic and post–COVID-19 pandemic onset in youth with overweight or obesity. We defined progression of comorbidities based on increase in category rather than absolute change in value. Results HbA1c progression was seen in 19%, and LDL cholesterol progression was seen in 26%, as defined by categories. HbA1c progression and LDL cholesterol progression were significantly correlated. HbA1c and LDL cholesterol progression were significantly associated with older age and Hispanics, respectively. Conclusion The results indicate youths with overweight or obesity have experienced progression of comorbidities during the COVID-19 pandemic. This study emphasizes the importance of early detection of comorbidities among a high-risk pediatric population

The Coronavirus Disease 2019 Pandemic is Associated with a Substantial Rise in Frequency and Severity of Presentation of Youth-Onset Type 2 Diabetes.

OBJECTIVES: To evaluate the frequency and severity of new cases of youth-onset type 2 diabetes in the US during the first year of the pandemic compared with the mean of the previous 2 years. STUDY DESIGN: Multicenter (n = 24 centers), hospital-based, retrospective chart review. Youth aged ≤21 years with newly diagnosed type 2 diabetes between March 2018 and February 2021, body mass index ≥85th percentile, and negative pancreatic autoantibodies were included. Demographic and clinical data, including case numbers and frequency of metabolic decompensation, were compared between groups. RESULTS: A total of 3113 youth (mean [SD] 14.4 [2.4] years, 50.5% female, 40.4% Hispanic, 32.7% Black, 14.5% non-Hispanic White) were assessed. New cases of type 2 diabetes increased by 77.2% in the year during the pandemic (n = 1463) compared with the mean of the previous 2 years, 2019 (n = 886) and 2018 (n = 765). The likelihood of presenting with metabolic decompensation and severe diabetic ketoacidosis also increased significantly during the pandemic. CONCLUSIONS: The burden of newly diagnosed youth-onset type 2 diabetes increased significantly during the coronavirus disease 2019 pandemic, resulting in enormous strain on pediatric diabetes health care providers, patients, and families. Whether the increase was caused by coronavirus disease 2019 infection, or just associated with environmental changes and stressors during the pandemic is unclear. Further studies are needed to determine whether this rise is limited to the US and whether it will persist over time

Time to Peak Glucose and Peak C-Peptide During the Progression to Type 1 Diabetes in the Diabetes Prevention Trial and TrialNet Cohorts

OBJECTIVE To assess the progression of type 1 diabetes using time to peak glucose or C-peptide during oral glucose tolerance tests (OGTTs) in autoantibody-positive relatives of people with type 1 diabetes. RESEARCH DESIGN AND METHODS We examined 2-h OGTTs of participants in the Diabetes Prevention Trial Type 1 (DPT-1) and TrialNet Pathway to Prevention (PTP) studies. We included 706 DPT-1 participants (mean ± SD age, 13.84 ± 9.53 years; BMI Z-score, 0.33 ± 1.07; 56.1% male) and 3,720 PTP participants (age, 16.01 ± 12.33 years; BMI Z-score, 0.66 ± 1.3; 49.7% male). Log-rank testing and Cox regression analyses with adjustments (age, sex, race, BMI Z-score, HOMA-insulin resistance, and peak glucose/C-peptide levels, respectively) were performed. RESULTS In each of DPT-1 and PTP, higher 5-year diabetes progression risk was seen in those with time to peak glucose >30 min and time to peak C-peptide >60 min (P < 0.001 for all groups), before and after adjustments. In models examining strength of association with diabetes development, associations were greater for time to peak C-peptide versus peak C-peptide value (DPT-1: χ2 = 25.76 vs. χ2 = 8.62; PTP: χ2 = 149.19 vs. χ2 = 79.98; all P < 0.001). Changes in the percentage of individuals with delayed glucose and/or C-peptide peaks were noted over time. CONCLUSIONS In two independent at-risk populations, we show that those with delayed OGTT peak times for glucose or C-peptide are at higher risk of diabetes development within 5 years, independent of peak levels. Moreover, time to peak C-peptide appears more predictive than the peak level, suggesting its potential use as a specific biomarker for diabetes progression