While the benefits of diabetes camp programs are well established, minority youth are underrepresented in camp attendance. No research to date has explored barriers to camp attendance or potential disparities in those barriers. Further, little is known about sources families prioritize in seeking diabetes information and support.
This was a prospective survey of families of children with type 1 diabetes (T1D) using convenience sampling during normally-scheduled clinic visits. Thirty-nine children and their caregivers completed the survey. Results were analyzed for prevalence and mean number of reported barriers, benefits, and diabetes information networks.
Age range was 5–15 years and mean duration of diabetes was 2.9 years (0.4–9y). The most prevalent barriers were location, cost, and concern about sending children to overnight camp. Caregivers had high level of knowledge of camp benefits. Participants reported engaging with the diabetes community through interactions with their diabetes team, Facebook groups, and the JDRF.
Increasing awareness, transportation assistance, and scholarship funding all may increase accessibility of diabetes camps. Diabetes clinic and online or social media groups are both acceptable means of disseminating information about diabetes camp. Further research is indicated to verify if these results are applicable to the larger diabetes community.
Copeptin, the C-terminal part of arginine-vasopressin, is increased in hypertensive adolescents and closely associated with metabolic syndrome (MS). We aimed to investigate whether serum copeptin can be used to differentiate masked hypertension (MHT) and MS, and the role of sodium intake, natriuretic peptide response and renin-angiotensin-aldosterone system in MHT and MS in obese youth.
Obese children aged 10–18 years with normal office blood pressure measurements were included. Patients with MHT and normotension and those with MS and non-MS were evaluated separately. Biochemical parameters, copeptin, brain natriuretic peptide (BNP), aldosterone, renin, urine sodium, and protein were evaluated. Echocardiography, fundoscopic examination, and ambulatory blood pressure monitoring were performed.
There were 80 (M/F=39/41) obese patients with a mean age of 13.78 ± 1.93 years. The cases with MHT, MS, and concomitant MHT and MS were 53,24, and 13%, respectively. Copeptin levels were similar among patients with and without MHT or MS (p>0.05). However, multivariate analysis revealed that copeptin significantly increased the probability of MHT (OR 1.01, 95% CI=1.001–1.018, p=0.033). Copeptin was positively correlated with daytime systolic and diastolic load, aldosterone, BNP, and urine microalbumin/creatinine levels (p<0.05). Linear regression analyses revealed that copeptin was significantly correlated with BNP regardless of having MHT or MS in obese youth. In the MHT group, 24-h sodium excretion was not significantly correlated with BNP.
Copeptin may be a beneficial biomarker to discriminate MHT, but not MS in obese children and adolescents. An insufficient BNP response to sodium intake might be one of the underlying causes of MHT in obese cases.
Determine the intake and percentage of adequacy of macronutrients and their association with cardiovascular risk factors in a sample of Colombian schoolchildren.
Cross-sectional study nested in a prospective population-based cohort in schoolchildren between 6 and 10 years of age; cardiovascular risk markers and anthropometric measures were measured. Macronutrient intake was established through a food consumption frequency questionnaire (FFQ). The percentage of adequacy was evaluated by comparison with the dietary reference intakes (DRI) and the recommendations for energy and nutrient intake (RIEN) for the Colombian population. Linear regression analysis was performed to assess the association between daily macronutrient/energy intake and cardiometabolic risk factors.
A total of 1,282 school children (51.09% boys and 48.91% girls; mean age 8.4 ± 1.4 years). The percentage of energy adequacy was 107% (Q1=87.5; Q3=127.2). The macronutrients in overadequacy were proteins and carbohydrates. The total fiber had a low adequacy around 26.0% (Q1=15.8; Q3=38.6). Fat intake was positively associated with BMI, insulin, and HOMA-IR index, while carbohydrate consumption was related to these same factors, although negatively in tight models.
Schoolchildren in this study had an inadequate protein, carbohydrate, and fiber intake. The results suggest a significant positive and negative relationship between the consumption of both fat and carbohydrates and cardiometabolic risk factors such as BMI, insulin levels, and HOMA-IR.