Effective factors of improved helmet use in motorcyclists: a systematic review

BMC Public Health, 2023 · DOI: https://doi.org/10.1186/s12889-022-14893-0 · Published: January 4, 2023

Simple Explanation

Road traffic injuries (RTIs) are a major cause of death, especially for young people. Motorcycle accidents are a big part of these injuries. Helmets are seen as a key way to prevent motorcycle-related injuries. But, many motorcyclists don't wear them as much as they should. This study looks at different things that make people more likely to wear helmets when riding motorcycles.

Study Duration

Not specified

Participants

50 articles were included in the systematic review

Evidence Level

Systematic Review

Key Findings

1
Helmet use is more common among drivers than passengers.
2
Women, middle-aged adults, and those with higher education levels are more likely to use helmets.
3
Helmet use is higher on highways and central city roads, and during mornings and weekdays.

Research Summary

This systematic review aimed to identify factors positively associated with helmet use among motorcyclists, finding demographic and environmental influences. Driving status was universally stated as a contributor to helmet usage, with passengers having significantly lower rates. This disparity may be due to a lack of helmets and less law enforcement. Effective strategies to increase helmet usage include stricter law enforcement, positive attitude changes towards helmet-wearing, and emphasis on the vulnerability of all motorcyclists, including passengers.

Practical Implications

Targeted Interventions

Focus interventions on passengers, children, and women, as these groups have lower helmet usage rates.

Enhanced Law Enforcement

Increase law enforcement and monitoring, especially during late hours, weekends, and on lower-capacity roads.

Attitude Improvement Programs

Develop programs that improve attitudes towards helmet-wearing, emphasizing the vulnerability of riders and the risk of low-speed injuries.

Study Limitations

1
Heterogeneity in target populations and data acquisition methods.
2
Lack of clear statements on sample size calculations and bias mitigation in included studies.
3
Discordance in reports regarding the effects of sex and road types on helmet usage.

Your Feedback

Was this summary helpful?

Back to Public Health