We demonstrated that a behavioural intervention is feasible to deliver and improved obesity measures in AI youth. Future work should evaluate TTP for effectiveness, sustainability and long-term impact in expanded tribal settings.
Poor outcome was associated with AASBP < 75th percentile (odds ratio, 4.2; 95% confidence interval, 2.1-8.3). Patients with systolic blood pressure (SBP) > or = 90 mm Hg and AASBP < 75th percentile had a higher odds for poor outcome compared with patients with SBP > or = 90 mm Hg and AASBP > or = 75th percentile (odds ratio, 3.5; 95% confidence interval, 1.7-7.3). CONCLUSION AASBP < 75th percentile was associated with poor outcome after severe pediatric TBI, even when SBP was > or = 90 mm Hg.
Background.
One in three adolescents and young adults with type 1 diabetes have at least one early diabetes-related complication/comorbidity. However, the prevalence, patterning, and risk factors for co-occurring complications in this population are not well understood.
Methods.
The SEARCH for Diabetes in Youth observational cohort study includes 1327 individuals diagnosed with type 1 diabetes before 20 years of age from 5 United States locations. Sociodemographic and metabolic risk factors were assessed at baseline (mean diabetes duration = 0·8 years, mean age = 10·9 years) and follow-up (mean diabetes duration = 7.8 years, mean age = 18·0 years). Early diabetes complications (diabetic kidney disease, diabetic retinopathy, peripheral neuropathy, cardiovascular autonomic neuropathy, and arterial stiffness) were assessed at follow-up. We aimed to describe co-occurrence of complications and examine differences in co-occurrence within demographic and metabolic risk factor clusters identified using cluster analysis.
Findings.
Overall, co-occurrence of any ≥2 complications was observed in 5·9% of all participants, more frequently than expected by chance alone (4·4%, p=0·015). Specifically, retinopathy and diabetic kidney disease, retinopathy and arterial stiffness, and arterial stiffness and cardiac autonomic neuropathy all co-occurred more frequently than expected (all p<0·05). The cluster analysis produced four unique clusters characterized by progressively worsening metabolic risk factor profiles (longer duration; higher A1c, non-HDL cholesterol, and waist to height ratio) and differences in sociodemographic characteristics (race/ethnicity, household income, type of health insurance). Prevalence of ≥2 complications progressively increased with worsening metabolic profiles (from 2·3% to 20·8%, p<0·001).
Interpretation.
We report that early complications co-occur in adolescents and young adults with type 1 diabetes more frequently than expected after an average of less than eight years of diabetes duration. A cluster of high risk factors identifies groups that may benefit most from interventions to reduce complications.
Conducting genetics-related research with populations that have historically experienced considerable harm and little benefit from genetics research poses unique challenges for understanding community-based perceptions of new genetic technologies. This article identifies challenges and strategies for collecting qualitative data on the perceptions of direct-toconsumer (DTC) Genetic Ancestry tests (GAT) among diverse Indigenous communities. Based on a 3-year project related to perceptions, attitudes, and values associated with genetic ancestry testing among diverse Indigenous communities in Oklahoma, the engagement process revealed specific opportunities to improve the process of qualitative data collection related to GAT, and more broadly, to conduct genetics-related research with Indigenous communities in culturally and methodologically appropriate ways. Priority areas include issues related to participant recruitment and tribal advisory boards, challenges of self-identification as a recruitment mechanism, and the necessity of including Indigenous researchers in all aspects of the research process.
As the practice of medicine has become more patient-driven, patients are increasingly seeking health information within and outside of their doctor’s office. Patients looking for information and support are often turning to the Internet as well as family and friends. As part of a study to understand the impact of delivery method of genomic testing for type 2 diabetes risk on comprehension and health-related behaviors, we assessed participants’ information-seeking and sharing behaviors after receiving their results in-person with a genetic counselor or online through the testing company’s website. We found that 32.6% of participants sought information after receiving the genomic test results for T2DM; 80.8% of those that did seek information turned to the Internet. Eighty-eight percent of participants reported that they shared their T2DM risk results, primarily with their spouse/partner (65%) and other family members (57%) and children (19%); 14% reported sharing results with their health provider. Sharing was significantly increased in those who received results in-person from the genetic counselor (p=0.0001). Understanding patients’ interests and needs for additional information after genomic testing and with whom they share details of their health is important as more information and clinical services are available and accessed outside the clinician’s office. Genetic counselors’ expertise and experience in creating educational materials and promoting sharing of genetic information can facilitate patient engagement and education.
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