Osteomuscular symptoms on motorcycles in the city of Rio Branco, Acre, Brazil, West Amazon

Musculoskeletal disorders among taxi drivers: a systematic review and meta-analysis

INTRODUCTION

Taxi drivers, as professional drivers, encounter numerous ergonomic risk factors related to musculoskeletal disorders (MSDs) because of the demands of their jobs. This study conducted as a systematic review and meta-analysis aimed to explore the prevalence of MSDs among taxi drivers.

MATERIALS AND METHODS

The present study followed the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines, and its protocol was registered in the international prospective register of systematic review (PROSPERO) under the code CRD42024509258. Searches were carried out using various databases, such as PubMed, Scopus, Web of Science, Science Direct, SID, ISC, and Google Scholar, with no time restrictions until February 7th, 2024. A random effects model was utilized for meta-analysis, and the I2 index was employed to assess heterogeneity among studies. Lastly, data analysis was conducted using STATA software (version 14).

RESULTS

After the initial search, 1606 articles were extracted from the reviewed sources. Following screening, study selection, and quality evaluation, a total of 11 studies were chosen for meta-analysis, involving 5277 taxi drivers. Based on the results of the meta-analysis, the highest prevalence of MSDs among taxi drivers was related to the lower back region (53.87% (95% CI:40.89-66.84, I2= 98.7%, P < 0.001)). Additionally, the prevalence rates of MSDs in different body regions, such as the neck (38.15%), shoulder (34.97%), upper back (18.30%), and knee (14.10%), were also reported.

CONCLUSION

Based on the findings of this study, the prevalence of MSDs among taxi drivers is relatively high, and specific risk factors may contribute to the development of these disorders. Therefore, to prevent the occurrence of MSDs among taxi drivers, it is advisable to implement essential measures concerning the development of training programs, ergonomic interventions, and evaluation of the work environment.

Prevalence of low back pain in professional drivers: a meta-analysis

OBJECTIVE

This meta-review aimed to investigate the prevalence of low back pain (LBP) in professional drivers.

STUDY DESIGN

This study is a meta-analysis.

METHODS

PubMed, Scopus, Embase, and Web of Science were searched for cross-sectional studies on the prevalence of LBP in professional drivers up to August 2023. The Agency for Healthcare Research and Quality was utilized for cross-sectional analytical studies. Statistical analysis of the included outcome indicators was conducted using Stata 16.0. The prevalence of LBP among professional drivers was measured using the random effects model, and heterogeneity was evaluated utilizing subgroup analysis. This meta-analysis review was registered with PROSPERO on April 28, 2023, under the registration number CRD42023422205.

RESULTS

In total, 1, 558 results met the inclusion and exclusion criteria, and 53 studies were included. The meta-analysis results indicated that professional drivers had a LBP prevalence of 35.0%, 95%CI (0.266, 0.433) for one week, 33.80%, 95%CI (0.233, 0.443) for one month, and 55.30%, 95%CI (0.503,0.603) for one year. In the global population of professional drivers, the prevalence of LBP was 56.0%, 95%CI (0.472, 0.648) and 54.5%, 95%CI (0.488, 0.602) without and with a history and high risk of LBP, respectively.

CONCLUSIONS

LBP remains prevalent among international drivers and has multiple contributing factors, highlighting the urgent need for increased awareness and prevention strategies.

Predicting preferred motorcycle riding postures to support human factors/ergonomic trade-off analyses within a multi-objective optimisation-based digital human model

Digital human models (DHM) can predict how users might interact with new vehicle geometry during early-stage design, an important precursor to conducting trade-off analyses. However, predicting human postures requires assumptions about which performance criteria best predict realistic postures. Focusing on the design of motorcycles, we do not know what performance criteria drive preferred riding postures. Addressing this gap, we aimed to identify which performance criteria and corresponding weightings best predicted preferred motorcycle riding postures when using a DHM. To address our aim, we surveyed the literature to find experimental data specifying joint angles that correspond to preferred riding postures. We then deployed a response surface methodology to determine which performance criteria and weightings optimally predicted the preferred riding postures when using a DHM. Weighting the minimisation of the discomfort performance criteria (an aggregate of joint range of motion, displacement from neutral and joint torque) best predicted preferred motorcycle riding postures.

Unveiling the road to safety: Understanding the factors influencing motorcycle accidents among riders in rural Chiang Mai, Thailand

Background

Motorcycle accidents pose a significant threat to traffic safety in Thailand, particularly in rural areas where the severity of these accidents often results in prolonged medical treatment and a reduction in the quality of life of the affected individual.

Objectives

To investigate the prevalence and the factors associated with motorcycle accidents among motorcycle riders in rural areas in Chiang Mai, Thailand.

Method

A cross-sectional study was conducted from December 2022 to March 2023 via an anonymous survey in Chiang Mai, Thailand. A total of 308 participants engaged with the survey. The data about background information, motorcycle details, personal protective equipment, risky behaviors, attitude toward riding, and history of motorcycle accidents in the prior six months were collected and analyzed by binary logistic regression.

Results

Of 308 participants, the mean age was 56 years old (SD = 14.2), females were 56.8 % (N = 175), 51 % had co-morbidity, and 40.6 % were active alcohol drinkers. The prevalence of individuals who experienced a motorcycle accident within the previous six months was 57.1 %. Notably, the most unsafe riding behavior was not wearing a helmet while riding, which had a prevalence of more than 80 % in both the accident and non-accident groups. The study found significant associated factors for motorcycle accidents in rural communities, including the history of alcohol consumption (aOR 1.71, 95 % CI: 1.05,2.79), changing lanes without using turn signals (aOR 1.93, 95 % CI: 1.07,3.48) and those who strongly disagree with the notion that listening to music while riding is dangerous (aOR 2.80, 95 % CI: 1.06, 7.43).

Conclusion

Over half of motorcycle riders have been in accidents. These findings emphasize the need to enforce drunk-driving and traffic laws. Comprehensive motorcycle rider education and safety training are needed to encourage responsible riding.