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Background: Diabetes devices, like insulin pumps and continuous glucose monitors (CGMs), capture and store patient adherence and utilization data that can be retrieved or downloaded providing objective information on self-management behaviors; yet, diabetes device data remain underutilized in research. Objective: The aim of the study was to examine the usability and feasibility of personal diabetes device data collected using a clinical download platform retooled for research purposes. Methods: Investigators evaluated the feasibility of raw diabetes device data collection. One hundred eight preteens and adolescents with Type 1 diabetes and their parents provided consent/assent. Results: Data were successfully collected from the diabetes devices (insulin pumps and CGM) of 97 youth using a clinical download software adapted for research, including data from all three commercially available CGM systems and insulin pumps brands, which contained all current and previous models of each insulin pump brand. The time required to download, mode of connection, and process varied significantly between brands. Despite the use of an agnostic download software, some outdated device brands and cloud-based CGM data were unsupported during data collection. Within the download software, dummy clinical accounts were created for each study participant, which were then linked back to a master study account for data retrieval. Raw device data were extracted into seven to eight Excel files per participant, which were then used to develop aggregate daily measures. Discussion: Our analysis is the first of its kind to examine the feasibility of raw diabetes device data using a clinical download software. The investigators highlight issues encountered throughout the research process, along with mitigating strategies to inform future inquiry. Conclusion: This study demonstrates the feasibility of raw data collection, from a wide variety of insulin pump and CGM brands, through the retooling of a clinical download software. Data from these personal devices provide a unique opportunity to study self-management behavior and the glycemic response of individuals in their everyday environments. [ABSTRACT FROM AUTHOR]

Background and purpose Little is known about the physical health, lifestyle beliefs and behaviors, and mental health among first-year health professional graduate students. Therefore, the purpose of this study was to describe these attributes as well as to explore the relationships among them. Methods A descriptive correlational study was conducted on the baseline data from a wellness onboarding intervention study with 93 health sciences students from seven different colleges within a large public land grant university in the Midwest United States. Findings Nearly 40% of the sample was overweight/obese, and 19% of students had elevated total cholesterol levels. Only 44% met the recommended 30 min of exercise 5 days per week. Forty-one percent reported elevated depressive symptoms and 28% had elevated anxiety. Four students reported suicidal ideation. Inverse relationships existed among depression/anxiety and healthy lifestyle beliefs/behaviors. Conclusions Students entering health professional schools are at high risk for depression, anxiety, and unhealthy behaviors, which could be averted through screening and early evidence-based interventions. Implications for practice Assessing the physical health, lifestyle behaviors, and mental health of first-year health sciences professional students is important to identify health problems and modifiable at-risk behaviors so that early interventions can be implemented to improve outcomes. [ABSTRACT FROM AUTHOR]