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. 2025 May 15;25(1):341.
doi: 10.1186/s12877-025-05998-3.

Mediating role of frailty/pre-frailty on the association between exercise participation and traffic crashes among Japanese community-dwelling older drivers

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Mediating role of frailty/pre-frailty on the association between exercise participation and traffic crashes among Japanese community-dwelling older drivers

Jue Liu et al. BMC Geriatr. .

Abstract

Background: Driving is essential for maintaining independence. This study aimed to assess the mediating role of frailty status in the association between exercise participation and traffic crashes among Japanese community-dwelling older drivers.

Methods: This 2-year longitudinal study included data of 3,934 Japanese community-dwelling older drivers aged ≥ 65 years in Kasama City who did not require long-term care and participated in a postal survey in 2019 and 2021 at baseline and follow-up, respectively. The participants who exercised at least one-three times per month at baseline were classified as exercisers. Frailty status was assessed using the seven-domain Kihon Checklist. A self-reported history of traffic crashes was collected during the follow-up survey. The effect of exercise participation on traffic crash involvement was analyzed using logistic regression after adjusting for covariates. Mediation analyses were performed to determine the mediating effects of frailty status.

Results: A total of 357 (23.7%) and 1,147 (76.3%) older drivers were classified as exercisers and non-exercisers, respectively. Logistic regression analyses showed that exercise participation significantly reduced the risk of traffic crash involvement at follow-up (odds ratio [OR] = 0.586; 95% confidence interval [CI], 0.359-0.956) and was significantly associated with a lower risk of frailty/pre-frailty (OR = 0.479; 95% CI, 0.372-0.617). Although there was no significant association between exercise participation and traffic crash involvement at follow-up (OR = 0.631; 95% CI, 0.384-1.037), frailty/pre-frailty was associated with a significantly higher risk of traffic crash involvement compared with robustness (OR = 1.649; 95% CI, 1.061-2.563). The Sobel test revealed that frailty/pre-frailty mediated the association between exercise participation and traffic crash involvement at follow-up (p =.01). Additionally, among the seven domains of the Kihon Checklist, the physical domain mediated the association between exercise participation and traffic crash involvement at follow-up (p =.01).

Conclusions: Exercise participation could significantly lower the risk of traffic crashes, with frailty/pre-frailty acting as a mediating factor. Our findings indicated that managing frailty is crucial for both public health and crash prevention, emphasizing the need for promoting these measures among older drivers.

Keywords: Exercise participation; Frailty status; Older driver; Traffic crash.

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Conflict of interest statement

Declarations. Ethics approval and consent to participate: This study was conducted in accordance with the guidelines of the Declaration of Helsinki. All participants were informed of the study details in writing and their voluntary return to the questionnaire was considered consent to participate in this study. This study was approved by the Ethics Committee of the University of Tsukuba (Ref. Tai 019–101). Consent for publication: Not applicable. Competing interests: The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Flow chart of this study
Fig. 2
Fig. 2
Mediation model of exercise participation, frailty/pre-frailty, and traffic crash involvement at follow-up. The model is adjusted for age, sex, years of education, economic status, living alone, smoking, alcohol consumption, clinical history of hip pain using these three analyses. In addition to the above covariates, when analyzing condition (1) and (3), history of traffic crash involvement and history of near-miss traffic incidents at baseline are also included
Fig. 3
Fig. 3
Mediation model of exercise participation, lower physical function, and traffic crash involvements at follow-up. The model is adjusted for age, sex, years of education, economic status, living alone, smoking, alcohol consumption, clinical history of hip pain using these three analyses. In addition to the above covariates, when analyzing condition (1) and (3), history of traffic crash involvement and history of near-miss traffic incidents at baseline are also included

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