OBJECTIVEPancreas size is reduced in patients at type 1 diabetes onset and in autoantibody (AAB)-positive donors without diabetes. We sought to determine whether pancreas volume (PV) imaging could improve understanding of the loss of pancreas size in first-degree relatives (FDRs) of patients with type 1 diabetes. We also examined relationships among PV, AAB status, and endocrine and exocrine functions. RESEARCH DESIGN AND METHODSWe conducted a cross-sectional study that included five groups: AAB 2 control subjects (no diabetes and no firstor second-degree relatives with type 1 diabetes) (N = 49), AAB 2 FDRs (N = 61), AAB + FDRs (N = 67 total: n = 31 with a single positive AAB [AAB + single] and n = 36 with multiple positive AABs [AAB + multiple]), and patients with recent-onset type 1 diabetes (<1 year) (N = 52). Fasting subjects underwent 1.5T pancreatic MRI, and PV and relative PV (RPV) (PV-to-BMI ratio) were analyzed between groups and for correlations with HbA 1c , C-peptide, glucose, and trypsinogen. RESULTSAll FDR groups had significantly lower RPV adjusted for BMI (RPV BMI ) than control subjects (all P < 0.05). Patients with type 1 diabetes had lower RPV BMI than AAB 2 FDR (P < 0.0001) and AAB + multiple (P £ 0.013) subjects. Transformed data indicated that trypsinogen levels were lowest in patients with type 1 diabetes. CONCLUSIONSThis study demonstrates, for the first time, all FDRs having significantly smaller RPV BMI compared with AAB 2 control subjects. Furthermore, RPV BMI was significantly lower in patients with recent-onset type 1 diabetes than in the AAB 2 FDR and AAB + multiple groups. As such, RPV BMI may be a novel noninvasive biomarker for predicting progression through stages of type 1 diabetes risk. This study highlights the potential paracrine relationships between the exocrine and endocrine pancreas in progression to type 1 diabetes in subjects at risk.Despite advances in medical diagnosis and treatment, type 1 diabetes remains one of the costliest diseases in the U.S. in terms of health care dollars spent for diabetesrelated costs (1). Immunotherapy-based intervention trials carried out in patients with new-onset type 1 diabetes have demonstrated potential for short-term benefit (e.g., anti-CD20, anti-CD3, and cytotoxic T-lymphocyte-associated antigen 4 Ig) but have failed to demonstrate long-term efficacy (2,3). The inability to provide long-term preservation of b-cell function or prevent type 1 diabetes may stem from unanswered

Cardiovascular disease (CVD) and type 2 diabetes remain significant public health concerns. Targeting of prevention efforts by geographical location has been suggested by the Institute of Medicine to coincide with the presence of area-based risk. The metabolic syndrome (MetS) is a stronger risk factor than is obesity for the prediction of future CVD and diabetes, yet its prevalence has not previously been described geographically. Our objective is to determine geographical variation in the prevalence of obesity, MetS, and diabetes among US adults. We assessed the prevalence of obesity, MetS, and diabetes by US census division, and the prevalence of obesity, MetS, and diabetes for each sex and racial/ethnic group by US region among 9826 US non-Hispanic white, non-Hispanic black, and Hispanic adults aged 20–65 years participating in the National Health and Nutrition Examination Survey 1999–2014. We also compared a sex- and race/ethnicity-specific MetS severity score by geographical area. The prevalence of obesity, MetS, and diabetes varied by US census division and region, with overall similarity by geographical area in the prevalence of each of these conditions. The prevalence of MetS was particularly high (≥35%) in the West North Central, West South Central, and East South Central and low (30%) in the Pacific, New England, and Mid-Atlantic divisions. Some of the geographical variation appeared due to differences among non-Hispanic white females, who had a high prevalence of MetS (>32%) in the Midwest and South and a low prevalence of MetS (24%) in the West and Northeast. Geographical differences in MetS imply variation in the risk for future CVD and diabetes, with more elevated risk in the center of the United States. As MetS is a stronger risk factor for prediction of CVD and T2DM than is obesity, these differences are potentially important for prompting public health efforts toward surveillance and prevention in high-risk areas.

Introduction Prediabetes is a reversible state of glycemic abnormalities that is frequently associated with obesity and the metabolic syndrome (MetS). There has been controversy over determining the most effective methods of determining prediabetes status in adolescents. We sought to investigate temporal trends in prediabetes prevalence among U.S. adolescents using two definitions and evaluate relationships with obesity and a MetS-severity score. Methods We evaluated data from 5418 non-Hispanic-white, non-Hispanic-black, and Hispanic adolescents aged 12–19 participating in the National Health and Nutrition Examination Survey 1999–2014 with complete data regarding MetS and hemoglobin A1c (HbA1c). Prediabetes status was defined by American Diabetes Association (ADA) criteria: fasting glucose 100–125 mg/dL or HbA1c 5.7%–6.4%. MetS severity was assessed with a MetS-severity Z-score. Results Prevalence of prediabetes as defined by HbA1c abnormalities significantly increased from 1999–2014, while prevalence of prediabetes as defined by fasting glucose abnormalities showed no significant temporal trend. There were variations in these trends across different racial/ethnic groups. MetS Z-score was overall more strongly correlated with HbA1c, fasting insulin, and the homeostasis-model-of-insulin-resistance than was BMI Z-score. These correlations were true in each racial/ethnic group with the exception that in non-Hispanic-white adolescents, in whom the MetS Z-score was not significantly correlated to HbA1c measurements. Conclusion We found conflicting findings of temporal trends of U.S. adolescent prediabetes prevalence based on the ADA’s prediabetes criteria. The increasing prevalence of prediabetes by HbA1c assessment is concerning and raises the urgency for increased awareness and appropriate measures of prediabetes status among physicians and patients.

BackgroundThe severity of the metabolic syndrome (MetS) is significantly associated with future coronary heart disease (CHD) among individuals without baseline Type 2 diabetes. However, the validity of assessing MetS severity among individuals with diabetes is unknown.ObjectiveTo assess for differences in MetS severity by timing of Type 2 diabetes diagnosis and to assess for associations between MetS severity and future CHD among individuals with diabetes.MethodsWe analyzed data from participants of the Atherosclerosis Risk in Communities study, including 1419 with- and 7241 without diabetes, followed during 4 visits and adjudicated CHD diagnoses over a 20-year period. We used Cox-regression techniques to assess hazard ratios (HR) of CHD based on a sex- and race/ethnicity-specific MetS-severity Z-score (standard MetS score) and a similar MetS-severity score formulated without incorporating glucose as a component of MetS (no-glucose MetS score).ResultsFor both the standard- and no-glucose MetS-severity scores, scores were highest in the baseline-diabetes group, lowest in the never-diabetes group and intermediate in the incident-diabetes groups. Among participants with diabetes, increasing MetS-severity score at baseline was associated with incident CHD, using both the standard MetS score (HR 1.29, 95% confidence interval [CI] 1.21, 1.39) and the no-glucose score (HR 1.42, CI 1.24, 1.62) (both p < 0.001). For the baseline-diabetes group, this relationship remained significant when Visit 2 Hemoglobin-A1c was included in the model, both for the standard MetS score (HR 1.21, CI 1.09, 1.34; p < 0.001) and the no-glucose score (HR 1.25, CI 1.04, 1.51; p = 0.02).ConclusionsMetS severity appears to provide an estimate of metabolic disarray in the setting of diabetes and is predictive of future CHD events beyond HbA1c. Identifying MetS severity among individuals with diabetes may help in identifying those at higher risk, who could then receive further preventative treatment.Electronic supplementary materialThe online version of this article (10.1186/s12933-017-0647-y) contains supplementary material, which is available to authorized users.

IntroductionInfluenza vaccine hesitancy is a global barrier to controlling seasonal influenza. Influenza vaccination rates in university students lag behind current goals and pose a significant threat to the health of students on campuses. A broader understanding of the knowledge, attitudes and beliefs of university students are needed to develop targeted interventions to increase vaccination.MethodsAn anonymous cross-sectional survey was developed and distributed via REDCap to graduate and undergraduate students via individual college listservs at a large public university. Survey questions included demographic information and questions about vaccination history, preference for vaccine type (inactivated vaccine (IIV) or live attenuated vaccine (LAIV), knowledge of influenza vaccines, reasons for accepting or refusing vaccine and preference for receiving vaccine information and education.ResultsStudents in 14 colleges received the survey and 1039 respondents were included in analysis. Sixty two percent reported having been vaccinated for influenza and of those vaccinated most were in health-related fields that require vaccination. Graduate and vaccinated students were more knowledgeable about influenza; undergraduates had lower vaccination rates. Students preferred IIV over LAIV and were more knowledgeable about IIV. Those with history of vaccination during childhood had higher rates of vaccination. Twenty six percent overall and 41.6% of the unvaccinated still believed you could get the flu from the flu vaccine. Fear of needles and inconvenience were cited as major reasons for not getting vaccinated. Incentives were cited as important motivators by only 20%. Students preferred to receive vaccine information from medical providers followed by online information and campus events.ConclusionsA multipronged approach to increasing influenza vaccination of university students will be needed. Myths about influenza vaccine persist even in a relatively educated population. Programs will need to target undergraduate and students in non health-related fields, offer vaccine choices - IIV and LAIV and promote vaccination through medical providers and online information.

OBJECTIVEWe assessed whether changes in metabolic syndrome (MetS) severity during the treatment of prediabetes are associated with reduced risk of type 2 diabetes mellitus (T2DM) and cardiovascular disease (CVD).RESEARCH DESIGN AND METHODSWe analyzed data from the Diabetes Prevention Program (DPP) for 2,476 adults in 1996–1999 with prediabetes randomized to receive treatment with lifestyle modification, metformin, or placebo for 2–3 years and followed through 2014 for T2DM and CVD outcomes. We calculated effect sizes from baseline in a MetS severity z score (MetS-Z) and the individual MetS components, and assessed relationships between 1-year effect size and incident T2DM and CVD using hazard ratios (HRs) and mediation analysis.RESULTSBaseline MetS-Z and its components were associated with risk of incident T2DM and CVD. During year 1 of intervention, MetS-Z and its components decreased most with lifestyle modification, followed by treatment with metformin and placebo. Risk of T2DM within 1–5 years was most strongly associated with 1-year changes in MetS-Z and waist circumference (both HRs for a 1 SD increase = 1.80), whereas the risk of CVD was associated with a 1-year change in MetS-Z, glucose, and systolic blood pressure. In mediation analyses, the effect of lifestyle modification on T2DM risk was mediated by 1-year changes in MetS-Z, waist circumference, glucose, and triglycerides, whereas the effect of metformin was mediated by MetS-Z and glucose.CONCLUSIONSChanges in these risk indicators of MetS severity during intervention in the DPP reflect altered disease risk and may help in tracking earlier responses to treatment and in motivating patients.

Disparities in type 1 diabetes related to use of technologies like continuous glucose monitors (CGMs) and utilization of diabetes care are pronounced based on socioeconomic status (SES), race, and ethnicity. However, systematic reports of perspectives from patients in vulnerable communities regarding barriers are limited. RESEARCH DESIGN AND METHODSTo better understand barriers, focus groups were conducted in Florida and California with adults $18 years old with type 1 diabetes with selection criteria including hospitalization for diabetic ketoacidosis, HbA 1c >9%, and/or receiving care at a Federally Qualified Health Center. Sixteen focus groups were conducted in English or Spanish with 86 adults (mean age 42 ± 16.2 years). Transcript themes and pre-focus group demographic survey data were analyzed. In order of frequency, barriers to diabetes technology and endocrinology care included: 1) provider level (negative provider encounters); 2) system level (financial coverage); and 3) individual level (preferences). RESULTSOver 50% of participants had not seen an endocrinologist in the past year or were only seen once including during hospital visits. In Florida, there was less technology use overall (38% used CGMs in FL and 63% in CA; 43% used pumps in FL and 69% in CA) and significant differences in pump use by SES (P 5 0.02 in FL; P 5 0.08 in CA) and race/ethnicity (P 5 0.01 in FL; P 5 0.80 in CA). In California, there were significant differences in CGM use by race/ethnicity (P 5 0.05 in CA; P 5 0.56 in FL) and education level (P 5 0.02 in CA; P 5 0.90 in FL). CONCLUSIONSThese findings provide novel insights into the experiences of vulnerable communities and demonstrate the need for multilevel interventions aimed at offsetting disparities in diabetes.Health outcomes in type 1 diabetes in the U.S. are profoundly shaped by socioeconomic status (SES), race, and ethnicity from childhood and throughout the life span. People living with type 1 diabetes from low SES households face elevated risks for suboptimal glycemic control, diabetic ketoacidosis (DKA), disease

Objective: Food insecurity has been linked to adverse health consequences. We sought to determine if food insecurity was related to obesity and prediabetes risk in U.S. adolescents. We also investigated if Supplemental Nutrition Assistance Program (SNAP) utilization mitigated any observed risks. Materials and Methods: We used linear and logistic regression analysis of cross-sectional data from a nationally representative sample of U.S. adolescents aged 12-19 years participating in the National Health And Nutrition Examination Survey 2003-2014 who had an income:poverty ratio of <5.0 and had complete data regarding metabolic laboratory assessments, food security, and socioeconomic status (n = 2662). Results: Food insecurity was present in 18.40% (95% confidence interval (CI): 16.47-20.37) among U.S. adolescents meeting inclusion criteria. Food insecurity was associated with increased odds of elevated blood pressure (adjusted odds ratio [aOR] = 1.57, 95% CI: 1.11-2.22) and prediabetes (aOR = 1.94, 95% CI: 1.16-3.25). SNAP usage was associated with higher body mass index z-score (e.g., mean: 0.80 vs. 0.59, P = 0.02), increased insulin resistance, and increased prediabetes odds among food-secure adolescents relative to nonusage. Conclusions: Food insecurity is relatively prevalent among U.S. adolescents with an income:poverty ratio of <5.0. Food insecurity is related to laboratory abnormalities and corresponding adverse health outcomes among U.S. adolescents in this relatively large sample. SNAP usage was associated with adverse health observations among food-secure adolescents. Ongoing efforts are still needed toward food assistance as important public health efforts aimed at mitigating the adverse outcomes related to food insecurity.