The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Relations among Chronic Medical Conditions, Medications, and Automobile Crashes in the Elderly: A Population-based Case-Control Study
Abstract
Older drivers have elevated crash rates and are more likely to be injured or die if they have a crash. Medical conditions and medications have been hypothesized as determinants of crash involvement. This population-based case-control study sought to identify medical conditions and medications associated with risk of at-fault crashes among older drivers. A total of 901 drivers aged 65 years and older were selected in 1996 from Alabama Department of Public Safety driving records: 244 at-fault drivers involved in crashes; 182 not at-fault drivers involved in crashes; and 475 drivers not involved in crashes were enrolled. Information on demographic factors, chronic medical conditions, medications, driving habits, visual function, and cognitive status was collected. Older drivers with heart disease (odds ratio (OR) = 1.5, 95% confidence interval (CI): 1.0, 2.2) or stroke (OR = 1.9, 95% CI: 0.9, 3.9) were more likely to be involved in at-fault automobile crashes. Arthritis was also associated with an increased risk among females (OR =1.8, 95% CI: 1.1, 2.9). Use of nonsteroidal antiinflammatory drugs (OR = 1.7, 95% CI 1.0, 2.6), angiotensin converting enzyme inhibitors (OR = 1.6, 95 CI: 1.0, 2.7), and anticoagulants (OR = 2.6, 95% CI: 1.0, 73) was associated with an increased risk of at-fault involvement in crashes. Benzodiazepine use (OR = 5.2, 95% CI: 0.9, 30.0) was also associated with an increased risk. Calcium channel blockers (OR = 0.5, 95% CI: 0.2, 0.9) and vasodilators (OR = 0.3, 95% CI: 0.1, 1.0) were associated with a reduced risk of crash involvement. The identification of medical conditions and medications associated with risk of crashes is important for enhancing the safety and mobility of older drivers.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
COLDITZ, G. A., MARTIN, P., STAMPFER, M. J., WILLETT, W. C., SAMPSON, L., ROSNER, B., HENNEKENS, C. H., & SPEIZER, F. E. (1986) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a114319 · Cited by 992
Cited by
Dassanayake, T., Michie, P., Carter, G., & Jones, A. (2011) · Drug Safety · doi:10.2165/11539050-000000000-00000 · Cited by 253
Braver, E. R., & Trempel, R. E. (2004) · Injury Prevention · doi:10.1136/ip.2003.002923 · Cited by 182
Association between physical illness and suicide among the elderly
Quan, H., Arboleda-Flórez, J., Fick, G. H., Stuart, H. L., & Love, E. J. (2002) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s001270200014 · Cited by 156
Signorovitch, J. E., Macaulay, D., Diener, M., Yan, Y., Wu, E. Q., Gruenberger, J. ‐., & Frier, B. M. (2013) · Diabetes, Obesity and Metabolism · doi:10.1111/dom.12031 · Cited by 125
“In addition, because associations between hypoglycaemia and accident risk may be modified by age [20,21], age-stratified analyses were conducted.”
Background
Metadata
- Authors
- McGwin, G.
- Venue
- American Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2000-09-01
- Volume
- 152
- Issue
- 5
- Pages
- 424-431
- ISSN
- 0002-9262 (ISSN-L)
- OpenAlex
- W2161599267
- Cited by
- 322
- References
- 1
- FWCI
- 21.62
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Relations among Chronic Medical Conditions, Medications, and Automobile Crashes in the Elderly: A Population-based Case-Control Study. https://app.cochat.ai/papers/10.1093/aje/152.5.424
- The paper
- McGwin, G. (2000). Relations among Chronic Medical Conditions, Medications, and Automobile Crashes in the Elderly: A Population-based Case-Control Study. American Journal of Epidemiology. https://doi.org/10.1093/aje/152.5.424
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.