Skip to main content

Advertisement

SpringerLink
Log in

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

  • Original Article
  • Published:
Acta Diabetologica Aims and scope Submit manuscript

Abstract

Aims

To investigate the overall and sex–age-specific absolute and relative risks of motorcycle collisions at road traffic accidents among patients with type 2 diabetes.

Methods

A cohort study in Taiwan was conducted by following 989,495 patients with type 2 diabetes and the same number of matched controls recruited between 2010 and 2012 to the end of 2016. Collision events by motorcycle driver victims were identified from the Police-reported Traffic Accident Registry. Overall and sex–age-specific incidence rates of collision involving motorcycle driver victims were estimated under Poisson assumption. The Cox proportional hazard regression models were performed to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) of collision in association with type 2 diabetes.

Results

Over an up to 7 years of follow-up, patients with type 2 diabetes had a higher incidence rate of motorcycle collision than controls at 1.16 and 0.89 per 100 person-years, respectively, which represented a significantly elevated HR of 1.28 (95% CI 1.27–1.30) after adjusting for potential confounders including various diabetic complications. The elevated HR was similarly seen in both men and women patients, and was significantly decreasing with increasing age regardless of sex. Little evidence supported the dose–response relationship between duration of type 2 diabetes and motorcycle collision risk.

Conclusions

After adjustment for common diabetic complications and comorbidities that could impair driving performance, patients with type 2 diabetes still suffered from increased risk of motorcycle collisions, regardless of sex, but was more evident in younger than in older patients.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

Similar content being viewed by others

References

  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

    Article  PubMed  PubMed Central  Google Scholar 

  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

    Google Scholar 

  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

    Article  Google Scholar 

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

    Article  Google Scholar 

  6. Yoon JH, Min SH, Ahn CH, Cho YM, Hahn S (2018) Comparison of non-insulin antidiabetic agents as an add-on drug to insulin therapy in type 2 diabetes: a network meta-analysis. Sci Rep 8(1):4095. https://doi.org/10.1038/s41598-018-22443-1

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Talbot R, Brown L, Morris A (2020) Why are powered two wheeler riders still fatally injured in road junction crashes: a causation analysis. J Safety Res 75:196–204. https://doi.org/10.1016/j.jsr.2020.09.009

    Article  PubMed  Google Scholar 

  8. Brown L, Morris A, Thomas P et al (2021) Investigation of accidents involving powered two wheelers and bicycles : a european in-depth study. J Safety Res 76:135–145. https://doi.org/10.1016/j.jsr.2020.12.015

    Article  PubMed  Google Scholar 

  9. Jou RC, Chao MC (2022) An analysis of the novice motorcyclist crashes in Taiwan. Traffic Inj Prev 23(3):140–145. https://doi.org/10.1080/15389588.2022.2026937

    Article  PubMed  Google Scholar 

  10. Chang YH, Li CY, Lu TH, Artanti KD, Hou WH (2020) Risk of injury and mortality among driver victims involved in single-vehicle crashes in taiwan: comparisons between vehicle types. Int J Environ Res Public Health. https://doi.org/10.3390/ijerph17134687

    Article  PubMed  PubMed Central  Google Scholar 

  11. Wang X, Peng Y, Yi S, Wang H, Yu W (2021) Risky behaviors, psychological failures and kinematics in vehicle-to-powered two-wheeler accidents: results from in-depth Chinese crash data. Accid Anal Prev 156:106150. https://doi.org/10.1016/j.aap.2021.106150

    Article  PubMed  Google Scholar 

  12. Sheen YJ, Hsu CC, Jiang YD, Huang CN, Liu JS, Sheu WH (2019) Trends in prevalence and incidence of diabetes mellitus from 2005 to 2014 in Taiwan. J Formos Med Assoc 118(Suppl 2):S66–S73. https://doi.org/10.1016/j.jfma.2019.06.016

    Article  PubMed  Google Scholar 

  13. Chen P-L, Jou R-C, Saleh W, Pai C-W (2016) Accidents involving pedestrians with their backs to traffic or facing traffic: an evaluation of crash characteristics and injuries. J Adv Trans 50:736–751. https://doi.org/10.1002/atr.1372

    Article  Google Scholar 

  14. Chang Y-H, Lu T-H, Hsu IL, Chen B-L, Li C-Y (2020) Risk of 30-day mortality and its association with alcohol concentration level among driver victims of motor vehicle crashes: comparison of population- and hospital-based designs. J Epidemiol Community Health 74(10):815. https://doi.org/10.1136/jech-2020-213953

    Article  PubMed  Google Scholar 

  15. Chen HF, Ho CA, Li CY (2019) Risk of heart failure in a population with type 2 diabetes versus a population without diabetes with and without coronary heart disease. Diabetes Obes Metab 21(1):112–119. https://doi.org/10.1111/dom.13493

    Article  PubMed  Google Scholar 

  16. Chen HF, Chang YH, Lo HJ, Isfandiari MA, Martini S, Hou WH, Li CY (2020) Incidence of idiopathic cardiomyopathy in patients with type 2 diabetes in taiwan: age, sex, and urbanization status-stratified analysis. Cardiovasc Diabetol 19(1):177. https://doi.org/10.1186/s12933-020-01144-y

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Chakraborty P, Merickel J, Shah V, Sharma A, Hegde C, Desouza C, Drincic A, Gunaratne P, Rizzo M (2019) Quantifying vehicle control from physiology in type 1 diabetes. Traffic Inj Prev 20(sup2):S26–S31. https://doi.org/10.1080/15389588.2019.1665176

    Article  PubMed  Google Scholar 

  18. Liu C-Y, Hung Y-T, Chuang Y-L, Chen Y-J, Weng W-S, Liu J-S, Liang K-YJJHM (2006) Incorporating development stratification of Taiwan townships into sampling design of large scale health interview survey. J Health Manag 4(1):1–22

    CAS  Google Scholar 

  19. Li C, Liu M, Hu Y, Shi T, Qu X, Walter MT (2018) Effects of urbanization on direct runoff characteristics in urban functional zones. Sci Total Environ 643:301–311. https://doi.org/10.1016/j.scitotenv.2018.06.211

    Article  CAS  PubMed  Google Scholar 

  20. Chen HY, Ivers RQ, Martiniuk AL et al (2010) Socioeconomic status and risk of car crash injury, independent of place of residence and driving exposure: results from the DRIVE study. J Epidemiol Community Health 64(11):998–1003. https://doi.org/10.1136/jech.2009.091496

    Article  CAS  PubMed  Google Scholar 

  21. Ma S, Zhang J, Zeng X et al (2020) Type 2 diabetes can undermine driving performance of middle-aged male drivers through its deterioration of perceptual and cognitive functions. Accid Anal Prev 134:105334. https://doi.org/10.1016/j.aap.2019.105334

    Article  PubMed  Google Scholar 

  22. Burr JF, Jamnik V, Gledhill N (2010) A cross-sectional examination of the physical fitness and selected health attributes of recreational all-terrain vehicle riders and off-road motorcyclists. J Sports Sci 28(13):1423–1433. https://doi.org/10.1080/02640414.2010.510847

    Article  PubMed  Google Scholar 

  23. Umegaki H (2018) Diabetes-related cognitive dysfunction: Hyperglycemia in the early stage might be a key? J Diabetes Investig 9(5):1019–1021. https://doi.org/10.1111/jdi.12808

    Article  PubMed  PubMed Central  Google Scholar 

  24. Abbas Q, Alsheddy A (2020) Driver fatigue detection systems using multi-sensors, smartphone, and cloud-based computing platforms: a comparative analysis. Sensors (Basel). https://doi.org/10.3390/s21010056

    Article  Google Scholar 

  25. Olesen AV, Madsen TKO, Lahrmann H, Nielsen JJP (2022) Use of psychotropic medication and risk of road traffic crashes: a registry-based case–control study in Denmark, 1996–2018. Psychopharmacology 239:2537–2546. https://doi.org/10.1007/s00213-022-06146-0

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Foral P, Knezevich J, Dewan N, Malesker MJTCP (2011) Medication-induced sleep disturbances. Consult Pharm 26(6):414–425. https://doi.org/10.4140/TCP.n.2011.414

    Article  PubMed  Google Scholar 

  27. Wang C, Chan JS, Ren L, Yan JHJNp, (2016) Obesity reduces cognitive and motor functions across the lifespan. Neural Plast 2016:13. https://doi.org/10.1155/2016/2473081

    Article  Google Scholar 

  28. Hostiuc S, Negoi I, Hostiuc M (2016) Diabetes and collision risk. A meta-analysis and meta-regression. Int J Clin Pract 70(7):554–568. https://doi.org/10.1111/ijcp.12832

    Article  CAS  PubMed  Google Scholar 

  29. Bieber-Tregear M, Funmilayo D, Amana A, Connor D, Tregear S, Tiller M (2011) Evidence report 2010 update, diabetes and commercial motor vehicle driver safety May 27, 2011

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

    Article  PubMed  PubMed Central  Google Scholar 

  31. Singh H, Kathuria A (2021) Profiling drivers to assess safe and eco-driving behavior : a systematic review of naturalistic driving studies. Accid Anal Prev 161:106349. https://doi.org/10.1016/j.aap.2021.106349

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

The authors are grateful for a grant from Ministry of Science and Technology (MOST 109-2314-B-006-044-MY3). The funder has no role in conducting and submitting this work. The guarantor is CY Li who takes full responsibility for the work as a whole, including the study design, access to data, and the decision to submit and publish the manuscript. The authors are grateful to Health Data Science Center, National Cheng Kung University Hospital, for providing administrative and technical support.

Funding

This study was supported by a grant from Ministry of Science and Technology (MOST 109‐2314-B-006‐044-MY3). There are no financial or non-financial conflicting interests involving in this study for all authors. The study was approved by the Institutional Review Board of Hospital of National Chung Kung University (No. B-ER-109–088).

Author information

Authors and Affiliations

  1. Department of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan

    Ya-Hui Chang & Chung-Yi Li

  2. College of Medicine, National Cheng Kung University, Tainan, Taiwan

    Wen-Hsuan Hou

  3. School of Gerontology and Long-Term Care, College of Nursing, Taipei Medical University, Taipei, Taiwan

    Wen-Hsuan Hou

  4. Department of Physical Medicine and Rehabilitation, Taipei Medical University Hospital, Taipei, Taiwan

    Wen-Hsuan Hou

  5. Department of Accounting Information, Chihlee University of Technology, New Taipei, Taiwan

    Ke-Fei Wu

  6. Department of Business Management, National Taichung University of Science and Technology, Taichung, Taiwan

    Ke-Fei Wu

  7. Department of Public Health, College of Public Health, China Medical University, Taichung, Taiwan

    Chung-Yi Li

  8. Department of Healthcare Administration, College of Medical and Health Science, Asia University, Taichung, Taiwan

    Chung-Yi Li

  9. Department of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan

    I-Lin Hsu

  10. Department of Geriatrics and Gerontology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan

    Wen-Hsuan Hou

Authors
  1. Ya-Hui Chang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Wen-Hsuan Hou
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ke-Fei Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Chung-Yi Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. I-Lin Hsu
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

Ya-Hui Chang and Chung-Yi Li contributed equally to this article. Specifically, YHC, WHH, KFW, and CYL designed the study. YHC, KFW, and CYL performed statistical analysis of the data. YHC, WHH, and ILH contributed to the interpretation of results and drafted the manuscript. YHC, WHH, KFW, CYL, and ILH revised the manuscript.

Corresponding author

Correspondence to I-Lin Hsu.

Ethics declarations

Conflict of interest

The authors declared no conflict of interest involving in this study.

Ethical approval

The study was approved by the Institutional Review Board of Hospital of National Chung Kung University (No. B-ER-109–088).

Informed consent

Written informed consent was waived in light of the fact that the personal identification numbers for all study subjects are encrypted.

Additional information

Managed by Massimo Porta.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 18 kb)

Rights and permissions

Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chang, YH., Hou, WH., Wu, KF. et al. Risk of motorcycle collisions among patients with type 2 diabetes: a population-based cohort study with age and sex stratifications in Taiwan. Acta Diabetol 59, 1625–1634 (2022). https://doi.org/10.1007/s00592-022-01967-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00592-022-01967-z

Keywords

Search

Navigation