Sugar and stops in drivers with insulin-dependent type 1 diabetes

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2022-08
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Barnwal, Ashirwad
Chakraborty, Pranamesh
Riera-Garcia, Luis
Ozcan, Koray
Davami, Sayedomidreza
Sarkar, Soumik
Rizzo, Matthew
Merickel, Jennifer
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Elsevier Ltd.
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Sharma, Anuj
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Institute for Transportation
InTrans administers 14 centers and programs, and several other distinct research specialties, and a variety of technology transfer and professional education initiatives. More than 100 Iowa State University faculty and staff work at InTrans, and from 200 to 250 student assistants from several ISU departments conduct research while working closely with university faculty. InTrans began in 1983 as a technical assistance program for Iowa’s rural transportation agencies.
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Mechanical Engineering
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Background: Diabetes is a major public health challenge, affecting millions of people worldwide. Abnormal physiology in diabetes, particularly hypoglycemia, can cause driver impairments that affect safe driving. While diabetes driver safety has been previously researched, few studies link real-time physiologic changes in drivers with diabetes to objective real-world driver safety, particularly at high-risk areas like intersections. To address this, we investigated the role of acute physiologic changes in drivers with type 1 diabetes mellitus (T1DM) on safe stopping at stop intersections.
Methods: 18 T1DM drivers (21–52 years, µ = 31.2 years) and 14 controls (21–55 years, µ = 33.4 years) participated in a 4-week naturalistic driving study. At induction, each participant’s personal vehicle was instrumented with a camera and sensor system to collect driving data (e.g., GPS, video, speed). Video was processed with computer vision algorithms detecting traffic elements (e.g., traffic signals, stop signs). Stop intersections were geolocated with clustering methods, state intersection databases, and manual review. Videos showing driver stop intersection approaches were extracted and manually reviewed to classify stopping behavior (full, rolling, and no stop) and intersection traffic characteristics.
Results: Mixed-effects logistic regression models determined how diabetes driver stopping safety (safe vs. unsafe stop) was affected by 1) disease and 2) at-risk, acute physiology (hypo- and hyperglycemia). Diabetes drivers who were acutely hyperglycemic (≥300 mg/dL) had 2.37 increased odds of unsafe stopping (95% CI: 1.26–4.47, p = 0.008) compared to those with normal physiology. Acute hypoglycemia did not associate with unsafe stopping (p = 0.537), however the lower frequency of hypoglycemia (vs. hyperglycemia) warrants a larger sample of drivers to investigate this effect. Critically, presence of diabetes alone did not associate with unsafe stopping, underscoring the need to evaluate driver physiology in licensing guidelines.
Conclusion: This study links acute, abnormal physiologic fluctuations in drivers with diabetes to driver safety based on unsafe stopping at stop-controlled intersections, providing recommendations for clinicians aimed at improving patient safety, fair licensing guidelines, and targets for developing advanced driver assistance systems.
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This is a manuscript of an article published as Barnwal, Ashirwad, Pranamesh Chakraborty, Anuj Sharma, Luis Riera-Garcia, Koray Ozcan, Sayedomidreza Davami, Soumik Sarkar, Matthew Rizzo, and Jennifer Merickel. "Sugar and stops in drivers with insulin-dependent type 1 diabetes." Accident Analysis & Prevention 173 (2022): 106692. doi:10.1016/j.aap.2022.106692. © 2022 Elsevier Ltd. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
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