The Choice Should Be Yours: Diabetes-Related Distress by Insulin Delivery Method for People with Type 1 Diabetes

Background: American Diabetes Association (ADA) recommends psychosocial assessment for people with diabetes, including diabetes-related distress. Elevated diabetes-related distress is associated with poor self-management, lower medication adherence, and poorer quality of life. Insulin delivery methods are multiple daily injections (MDI) or continuous subcutaneous insulin infusion (CSII). Because people with type 1 diabetes mellitus (T1DM) require comprehensive insulin therapy to manage blood glucose, we explored the association of insulin delivery methods and diabetes distress in this group. Methods: The U.S. Air Force Diabetes Center of Excellence (DCOE), a specialty clinic for adults who are Military Health System beneficiaries, administers the validated 17-item Diabetes-related Distress Scale (DDS-17) as part of standard care. Patient data were analyzed from June 2015 to August 2016 using SPSS version 22. Patients were free to choose the method of insulin delivery with minimal or no additional cost. Results: There were 203 patients with T1DM who completed the DDS-17 as part of standard care during the time period. Patients were categorized as CSII (57.6%) or MDI (42.4%). Women were significantly more likely to choose MDI over CSII than men (P = 0.003). DDS-17 scores were low in both groups, and there were no significant differences in DDS-17 by insulin delivery method. Furthermore, no significant differences were found in hemoglobin A1c (HbA1c) between CSII (7.9% or 63 mmol/mol) and MDI (8.1% or 65 mmol/mol) users (P = 0.22) and no significant differences in body mass index (BMI) between patients using CSII (M = 28.33 kg/m2) and MDI (28.49 kg/m2) users (P = 0.15). Conclusions: Our study demonstrated that if patients are relatively free to choose the insulin delivery method (minimal or no financial constraints), there were no differences in diabetes distress scores, HbA1c, or BMI between CSII and MDI. Therefore, people with T1DM may benefit from choosing the method of insulin delivery that will enable them to achieve individual goals and manage diabetes-related distress

Causal Connections between Water Quality and Land Use in a Rural Tropical Island Watershed: Rural Tropical Island Watershed Analysis

We examined associations between riparian canopy cover, presence or absence of cattle, rainfall, solar radiation, month of year, dissolved oxygen, turbidity, salinity, and Enterococcus concentrations in riparian surface soils with Enterococcus geometric mean in-stream water concentrations at Waipā watershed on the north side of the Hawaiian island Kaua’i. Each 1% decrease in riparian canopy cover was associated with a 4.6 most probable number (MPN)/100 ml increase of the geometric mean of Enterococcus in stream water (P < 0.05). Each unit decrease in salinity (ppt) was associated with an increase of Enterococcus by 68.2 MPN/100 ml in-stream water geometric mean concentrations (P < 0.05). Month of year was also associated with increases in stream water Enterococcus geometric mean concentrations (P < 0.05). Reducing riparian canopy cover is associated with Enterococcus increases in stream water, suggesting that decreasing riparian vegetation density could increase fecal bacteria surface runoff

Diabetes by Air, Land, and Sea: Effect of Deployments on HbA1c and BMI

INTRODUCTION: Service members (SMs) in the United States (U.S.) Armed Forces have diabetes mellitus at a rate of 2-3%. Despite having a chronic medical condition, they have deployed to environments with limited medical support. Given the scarcity of data describing how they fare in these settings, we conducted a retrospective study analyzing the changes in glycated hemoglobin (HbA1c) and body mass index (BMI) before and after deployment. MATERIALS AND METHODS: SMs from the U.S. Army, Air Force, Navy, and Marine Corps with diabetes who deployed overseas were identified through the Military Health System (MHS) Management Analysis and Reporting Tool and the Defense Manpower Data Center. Laboratory and pharmaceutical data were obtained from the MHS Composite Health Care System and the Pharmacy Data Transaction Service, respectively. Paired t-tests were conducted to calculate changes in HbA1c and BMI before and after deployment. RESULTS: SMs with diabetes completed 11,325 deployments of greater than 90 days from 2005 to 2017. Of these, 474 (4.2%) SMs had both HbA1c and BMI measurements within 90 days prior to departure and within 90 days of return. Most (84.2%) required diabetes medications: metformin in 67.3%, sulfonylureas in 19.0%, dipeptidyl peptidase-4 inhibitors in 13.9%, and insulin in 5.5%. Most SMs deployed with an HbA1c \u3c 7.0% (67.1%), with a mean predeployment HbA1c of 6.8%. Twenty percent deployed with an HbA1c between 7.0 and 7.9%, 7.2% deployed with an HbA1c between 8.0 and 8.9%, and 5.7% deployed with an HbA1c of 9.0% or higher. In the overall population and within each military service, there was no significant change in HbA1c before and after deployment. However, those with predeployment HbA1c \u3c 7.0% experienced a rise in HbA1c from 6.2 to 6.5% (P \u3c 0.001), whereas those with predeployment HbA1c values ≥7.0% experienced a decline from 8.0 to 7.5% (P \u3c 0.001). Those who deployed between 91 and 135 days had a decline in HbA1c from 7.1 to 6.7% (P = 0.010), but no significant changes were demonstrated in those with longer deployment durations. BMI declined from 29.6 to 29.3 kg/m2 (P \u3c 0.001), with other significant changes seen among those in the Army, Navy, and deployment durations up to 315 days. CONCLUSIONS: Most SMs had an HbA1c \u3c 7.0%, suggesting that military providers appropriately selected well-managed SMs for deployment. HbA1c did not seem to deteriorate during deployment, but they also did not improve despite a reduction in BMI. Concerning trends included the deployment of some SMs with much higher HbA1c, utilization of medications with adverse safety profiles, and the lack of HbA1c and BMI evaluation proximal to deployment departures and returns. However, for SMs meeting adequate glycemic targets, we demonstrated that HbA1c remained stable, supporting the notion that some SMs may safely deploy with diabetes. Improvement in BMI may compensate for factors promoting hyperglycemia in a deployed setting, such as changes in diet and medication availability. Future research should analyze in a prospective fashion, where a more complete array of diabetes and readiness-related measures to comprehensively evaluate the safety of deploying SMs with diabetes