Stephanie Edwards

ORCID: 0000-0003-4469-5214
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About
Contact & Profiles
Research Areas
  • Diabetes Management and Research
  • Diabetes Treatment and Management
  • Pancreatic function and diabetes
  • Diabetes and associated disorders
  • Simulation and Modeling Applications
  • Diabetes Management and Education
  • Maritime Navigation and Safety
  • Underwater Vehicles and Communication Systems
  • Mobile Health and mHealth Applications
  • Human-Automation Interaction and Safety
  • IoT and GPS-based Vehicle Safety Systems
  • Health and Lifestyle Studies
  • Cannabis and Cannabinoid Research
  • Muscle activation and electromyography studies
  • Balance, Gait, and Falls Prevention
  • Advanced Computational Techniques and Applications
  • Automotive and Human Injury Biomechanics
  • Historical Geography and Cartography
  • Neonatal Respiratory Health Research
  • Aerospace Engineering and Applications
  • Technology and Education Systems
  • Prosthetics and Rehabilitation Robotics
  • Traffic and Road Safety
  • Heart Rate Variability and Autonomic Control
  • Military Strategy and Technology

Waikato Hospital
2024

Eli Lilly (United States)
2021-2024

Joslin Diabetes Center
2013-2019

United States Naval Research Laboratory
2003

OBJECTIVE Patients with type 1 diabetes who do aerobic exercise often experience a drop in blood glucose concentration that can result hypoglycemia. Current approaches to prevent exercise-induced hypoglycemia include reduction insulin dose or ingestion of carbohydrates, but these strategies may still hyperglycemia. We sought determine whether mini-dose glucagon (MDG) given subcutaneously before could subsequent lowering and compare the glycemic response current for mitigating...

10.2337/dc18-0051 article EN Diabetes Care 2018-05-18

Abstract Aims To examine the impact of continuous glucose monitoring on diabetes management and marital relationships adults with Type 1 their spouses. Methods Nine younger (30–49 years) 11 older (50–70 patients 14 spouses participated in eight focus groups specific to age role (patient or spouse). Audio‐recorded data were transcribed, coded analysed using thematic analysis aided by NV ivo software. Results Qualitative revealed participants perceived as positively influencing hypoglycaemia...

10.1111/dme.12276 article EN Diabetic Medicine 2013-07-02

Traditionally, insulin bolus calculations for managing postprandial glucose levels in individuals with type 1 diabetes rely solely on the carbohydrate content of a meal. However, recent studies have reported that other macronutrients meal can alter required good control. Specifically, shown high-fat (HF) meals require more than low-fat (LF) identical content. Our objective was to assess mechanisms underlying higher requirement observed one these studies.We used combination previously...

10.1089/dia.2015.0118 article EN Diabetes Technology & Therapeutics 2015-08-13

Abstract Background Faltering postnatal growth in preterm babies is associated with adverse neurodevelopment. However, which reference most helpful for predicting neurodevelopment unknown. We examined associations between faltering and developmental delay extremely low birthweight (ELBW) infants. Methods categorized (z-score decrease ≥0.8 weight/length, >1 head circumference) birth, 4 weeks, 36 weeks’ postmenstrual age 2 years’ corrected using fetal (Fenton, UK-WHO Olsen) healthy...

10.1038/s41390-024-03054-1 article EN cc-by Pediatric Research 2024-02-09

Objective: This study used connected pen to determine missed bolus dose (MBD) frequency during masked and unmasked continuous glucose monitoring (CGM) periods examined its link with time-in-range (TIR), time-above-range (TAR), time-below-range (TBR), key participant characteristics in people diabetes. Methods: was a 12-week, single-arm, exploratory, two-period for type 1 diabetes (T1D) or 2 (T2D). The primary objective estimate the average number of MBD real-time CGM use. secondary percent...

10.1089/dia.2021.0239 article EN cc-by-nc Diabetes Technology & Therapeutics 2021-09-15

Maintaining blood glucose levels in the target range during exercise can be onerous for people with type 1 diabetes (T1D). Using evidence-based research and consensus guidelines, we developed an advisor app to reduce some of burden associated management exercise. The will guide user on carbohydrate feeding strategies insulin before, during, after provide targeted individualized recommendations. As a basis recommendations, decision trees use various factors including regimen, time activity,...

10.1177/1932296820979811 article EN cc-by-nc Journal of Diabetes Science and Technology 2020-12-20

Background: Adults with type 1 diabetes (PWDs) face challenging self-management regimens including monitoring their glucose values multiple times a day to assist achieving glycemic targets and reduce the risk of long-term complications. Recent advances in technology have reportedly improved glycemia, but little is known about how PWDs utilize mobile make positive changes self-management.

10.2196/14032 article EN cc-by JMIR Diabetes 2019-06-06

The Naval Research Laboratory (NRL) has tested and demonstrated a prototype moving-map system for naval landing craft amphibious vehicles. NRL proposed that would improve crew situational awareness communications, thereby improving precise lane navigability. This paper presents results of demonstrations performed during the Transparent Hunter exercise in January 2003. Comparisons navigation performance (measured terms root mean square "cross-track" error) are presented vehicles using same no...

10.1109/oceans.2003.178032 article EN Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492) 2003-01-01

Optimizing postprandial glucose control in persons with type 1 diabetes (T1D) is challenging. We hypothesized that free-living individuals, meal composition (high and low glycemic index [HGI LGI], high fat [HF LF]) may impact insulin requirements. Adults (

10.1089/dia.2024.0132 article EN Diabetes Technology & Therapeutics 2024-07-30

When people with diabetes (PwD) are introduced to real-time continuous glucose monitoring (rtCGM), they may still struggle meet glycemic targets, as highlighted by the T1D Exchange. We assessed missed bolus doses (MBD) in relation psychosocial factors and rtCGM use PwD using insulin. This 12-week, single-arm, observational study enrolled who reported A1C ≥8% taking ≥3 insulin boluses/day. administered Adult Low Blood Sugar Survey short form (ALBSS), which evaluates hypoglycemic fear at...

10.2337/db19-83-lb article EN Diabetes 2019-06-01

Connected insulin pens have potential utility as diagnostic tools to objectively assess MBDs and their impact on glycemic outcomes. This cross-sectional study enrolled 68 people with T1D or insulin-using T2D (A1C ≥ 8%, 3 boluses/day reported at enrollment). Mean (± SD) age of participants was 48 years 12), 44% female, 59% T1D, 51% BMI 30 65% A1C 9.0%. pen blinded CGM data (21 days collected) were used calculate (no dose from 2 hrs prior 4 after the start a glucose excursion [defined >...

10.2337/db20-375-p article EN Diabetes 2020-06-01

<sec> <title>BACKGROUND</title> Adults with type 1 diabetes (PWDs) face challenging self-management regimens including monitoring their glucose values multiple times a day to assist achieving glycemic targets and reduce the risk of long-term complications. Recent advances in technology have reportedly improved glycemia, but little is known about how PWDs utilize mobile make positive changes self-management. </sec> <title>OBJECTIVE</title> The aim this qualitative study was explore PWDs’...

10.2196/preprints.14032 preprint EN 2019-03-15

Controlled in-patient studies indicate that high fat/protein meals require more insulin coverage than low fat with similar carbohydrate (CHO). However, it is unclear how dietary macronutrient content impacts on glycemic responses and requirements in free-living T1D individuals. Adults (n=25) (mean±SD age 52±15 yrs, A1C 7.1±0.7%, 39% female) pump continuous glucose monitoring (CGM) were enrolled this 18-week duration study. Participants ate specific (high index [GI], [HGI-HF]; GI, [HGI-LF];...

10.2337/db21-708-p article EN Diabetes 2021-06-01
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