Journal of Clinical Exercise Physiology CASE STUDY: MANAGEMENT OF TYPE 1 DIABETES IN AN ELITE ENDURANCE ATHLETE
Abstract:
Type 1 Diabetes Mellitus (T1DM) poses unique challenges for athletes, particularly in endurance sports like gravel cycling. This case study explores the intricate balance required to manage blood glucose levels during a 100-mile gravel race for a T1DM athlete. The study emphasizes the importance of maintaining stable blood glucose levels to prevent exercise induced complications while optimizing performance. The athlete's 100 mile gravel race is documented through meticulous monitoring of nutrition, exercise, and physiological parameters, including heart rate, power output, and blood glucose levels. The findings underscore the effectiveness of carbohydrate intake in preventing hypoglycemia during prolonged exertion. However, challenges such as fatigue and hyperglycemic events post-carbohydrate consumption are observed, indicating the need for refined strategies. The study reveals the impact of hydration on performance and blood glucose dynamics, highlighting the necessity for comprehensive guidelines tailored to athletes with T1DM engaging in endurance activities. This case study sheds light on the complexities of managing T1DM in endurance cycling, underscoring the demand for further research to optimize nutritional strategies and hydration guidelines for enhanced athletic performance while safeguarding against adverse glycemic events.
Key Words: Type 1 Diabetes, endurance athlete, T1DM, endurance cycling
A. Young, A. Habegger, T. W. Griffin, L. Traywick, B. Metcalf, D. K. James
Corn planting progress was behind schedule for several states prior to the Gannon Storm on the weekend of 10 May 2024. Midwestern farms were unusually vulnerable to a signal degradation associated with Global Navigation Satellite System (GNSS) accuracy due to reduced fieldwork days associated with terrestrial weather, delaying planting. Estimating regional losses due to GNSS outage is a multi-step process. First, foregone production due to delayed planting for a representative farm is estimated. Analysis of a representative farm is necessary because no other method is feasible to arrive at the intended metric of number of acres affected by downtime. The second step is to determine the number of farms adversely affected in each state. Third, production losses are calculated for each state then summed into regional estimates. Agricultural data sources includes publicly available USDA statistics and Land Grant University Extension publications. Space weather data sources include the GFZ German Research Centre for Geosciences at Potsdam (GFZ) and the NOAA Space Weather Prediction Center (SWPC). A range of estimates are provided including yield sensitivity to delayed planting, effective planter capacity, and percentage of farms vulnerable to GNSS signal degradation, such that the reader can repeat the analysis to arrive at their own conclusions. One of the leading corn-producing states, Illinois, is used to demonstrate how the analysis and calculations are conducted before reporting across 12 selected Midwestern states. Due to the Gannon Storm, the representative GNSS-reliant corn farm in Illinois experienced foregone revenue between $12,000 and $17,000. Summing across all vulnerable farms in Illinois, production decreased from 3.1M bushels valued at \$12.4M to 75M bushels valued at $298M due to delaying planting into later weeks. Applying this analysis to the remaining Midwestern states, between 17.4M bushels to 424M bushels valued at $69.6M to $1.7B, respectively, were foregone compared to the optional scenario in which GNSS-enabled navigation technology remained operational. Valuation assumed $4 per bushel corn price, however, a $5 per bushel price is reflected by adding 25% to the reported valuation. Although affected acreage experienced substantial penalties, when considering across all 90.6M US acres, a negligible one to two bushel per planted acre was at risk. Although unprecedented during the precision agricultural era, the events of 10 May 2024 were not likely unique, such that GNSS signal degradation may occur again in spring planting time of 2025 and into 2026, during the descending phase of Solar Cycle 25. Early warning alerts of GNSS signal degradation may be useful for many practitioners, but not likely sufficient to prevent agricultural production losses due to the complex biological and climatic interaction. However, a nowcast informing practitioners of regional GNSS signal degradation may be useful to prevent frustration, costs of performing local diagnostic tests on equipment, and adverse affects on the joint utility of the rural household. Results are of interest to farmers, commodity traders, grain handling facilities, policy makers, and space weather professionals and enthusiasts.
Griffin, Knipp, Shank, Skov, McIntosh, and Leamon