Risk of motorcycle collisions among patients with type 2 diabetes: a population-based cohort study with age and sex stratifications in Taiwan-Reference-Cited by-同舟云学术

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Risk of motorcycle collisions among patients with type 2 diabetes: a population-based cohort study with age and sex stratifications in Taiwan

Published:2022-09-14 Issue:12 Volume:59 Page:1625-1634
ISSN:1432-5233
Container-title:Acta Diabetologica
language:en
Short-container-title:Acta Diabetol

Author:

Chang Ya-Hui,Hou Wen-Hsuan,Wu Ke-Fei,Li Chung-Yi,Hsu I-Lin

Funder

Ministry of Science and Technology, Taiwan

Publisher

Springer Science and Business Media LLC

Subject

Endocrinology,General Medicine,Endocrinology, Diabetes and Metabolism,Internal Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00592-022-01967-z.pdf

Reference31 articles.

1. Diabetes Canada Clinical Practice Guidelines Expert C, Houlden RL, Berard L, Lakoff JM, Woo V, Yale JF (2018) Diabetes and driving. Can J Diabetes 42 Suppl 1:S150-S153. https://doi.org/10.1016/j.jcjd.2017.10.018

2. Graveling AJ, Frier BM (2015) Driving and diabetes: problems, licensing restrictions and recommendations for safe driving. Clin Diabetes Endocrinol 1:8. https://doi.org/10.1186/s40842-015-0007-3

3. Cox D, Clarke W, Gonder-Frederick L, Kovatchev B (2001) Driving mishaps and hypoglycaemia: risk and prevention. Int J Clin Pract Suppl 123:38–42

4. Sakane N, Kotani K, Tsuzak K et al (2014) Impaired awareness of hypoglycemia and driving mishaps in patients with type 1 diabetes mellitus: a multi center survey in japan. Diabetes Res Open J 1(1):1–4

5. Falkenstein M, Karthaus M, Brune-Cohrs U (2020) Age-related diseases and driving safety. Geriatrics (Basel). https://doi.org/10.3390/geriatrics5040080

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4. A Machine Learning-Based Intelligent Vehicular System (IVS) for Driver’s Diabetes Monitoring in Vehicular Ad-Hoc Networks (VANETs);Applied Sciences;2023-03-06

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