1. A Comprehensive Review of Low-Speed Rear Impact Volunteer Studies and a Comparison to Real-World Outcomes
- Author
-
Rawson Wood, Lars Reinhart, Joseph M. Cormier, Charles E. Bain, and Lisa Gwin
- Subjects
Adult ,Male ,Volunteers ,medicine.medical_specialty ,Adolescent ,Databases, Factual ,Population ,Cervical Spine ,neck strain ,Logistic regression ,volunteer ,Statistical power ,03 medical and health sciences ,Survey methodology ,Young Adult ,0302 clinical medicine ,Physical medicine and rehabilitation ,0502 economics and business ,Pragmatic Clinical Trials as Topic ,medicine ,Reaction Time ,Humans ,Orthopedics and Sports Medicine ,education ,Volunteer ,Whiplash Injuries ,050210 logistics & transportation ,education.field_of_study ,Neck pain ,business.industry ,whiplash ,05 social sciences ,Accidents, Traffic ,Evidence-based medicine ,NASS ,Middle Aged ,Healthy Volunteers ,Treatment Outcome ,Reading ,Crashworthiness ,Female ,Neurology (clinical) ,medicine.symptom ,business ,rear impact ,030217 neurology & neurosurgery - Abstract
Study design This study combined all prior research involving human volunteers in low-speed rear-end impacts and performed a comparative analysis of real-world crashes using the National Automotive Sampling System - Crashworthiness Data System. Objective The aim of this study was to assess the rates of neck pain between volunteer and real-world collisions as well as the likelihood of an injury beyond symptoms as a function of impact severity and occupant characteristics in real-world collisions. Summary of background data A total of 51 human volunteer studies were identified that produced a dataset of 1984 volunteer impacts along with a separate dataset of 515,601 weighted occupants in real-world rear impacts. Methods Operating-characteristic curves were created to assess the utility of the volunteer dataset in making predictions regarding the overall population. Change in speed or delta-V was used to model the likelihood of reporting symptoms in both real-world and volunteer exposures and more severe injuries using real-world data. Logistic regression models were created for the volunteer data and survey techniques were used to analyze the weighted sampling scheme with the National Automotive Sampling System database. Results Symptom reporting rates were not different between males and females and were nearly identical between laboratory and real-world exposures. The minimal risk of injury predicted by real-world exposure is consistent with the statistical power of the large number of volunteer studies without any injury beyond the reporting of neck pain. Conclusion This study shows that volunteer studies do not under-report symptoms and are sufficient in number to conclude that the risk of injury beyond neck strain under similar conditions is essentially zero. The real-world injury analyses demonstrate that rear impacts do not produce meaningful risks of cervical injury at impacts of similar and greater severity to those of the volunteer research. Future work concerning the mechanism of whiplash-related trauma should focus on impacts of severity greater than those in the current literature. Level of evidence 3.
- Published
- 2018