Department of Environmental and Occupational Health and Safety, Institute of Public Health, University of Gondar, Gondar, Ethiopia.
Department of Environmental and Occupational Health and Safety, Institute of Public Health, University of Gondar, Gondar, Ethiopia
BMJ Open. 2023 May 31;13(5):e069631. doi: 10.1136/bmjopen-2022-069631.
This study aimed to assess the prevalence of low back pain and associated factors among professional taxi drivers.
Community-based cross-sectional study.
A Modified Nordic Musculoskeletal Questionnaire was used to collect data. Through a simple random sampling technique, 371 taxi drivers were selected in Gondar City, Ethiopia.
SPSS V.22 was used for data analysis. Bivariable and multivariable logistic regression analyses were used to identify the factors associated with low back pain. A p value less than 0.05 and an adjusted odds ratio (AOR) with 95% CI were used to declare statistical significance.
A total of 371 respondents, with a response rate of 95.4%, have participated. The past 1 year and week's prevalence of low back pain among taxi drivers was 85.7% (95% CI 82.5 to 89.2) and 53.4% (95% Cl 48.0 to 58.5), respectively. Overweight/obese (AOR=0.33, 95% CI (0.14 to 0.80)), alcohol drinking (AOR=4.77, 95% CI (1.16 to 19.5)), job dissatisfaction (AOR=4.58, 95% CI (1.39 to 15.2)), prolonged working hours per day (AOR=2.64; 95% CI (1.02 to 6.08)), not using the adjustable seat with back support (AOR=6.38, 95% CI (2.39 to 17.01)) were associated with low back pain among taxi drivers.
The prevalence of low back pain among taxi drivers was high. Being overweight/obese, alcohol drinking, job dissatisfaction, prolonged working hours per day, and not using adjustable seats with back support, were factors associated with low back pain among taxi drivers. Therefore, ergonomic and behavioural-related awareness training is recommended to minimise the burden of low back pain among taxi drivers.
本研究旨在评估职业出租车司机腰痛的患病率及相关因素。
基于社区的横断面研究。
采用改良北欧肌肉骨骼问卷收集数据。通过简单随机抽样技术，在埃塞俄比亚贡德尔市选择了 371 名出租车司机。
采用 SPSS V.22 进行数据分析。采用单变量和多变量逻辑回归分析来确定与腰痛相关的因素。采用 p 值<0.05 和 95%置信区间（CI）的调整优势比（AOR）来表示统计学意义。
共有 371 名应答者（应答率为 95.4%）参与了研究。过去 1 年和过去 1 周，出租车司机腰痛的患病率分别为 85.7%（95%CI 82.5 至 89.2）和 53.4%（95%CI 48.0 至 58.5）。超重/肥胖（AOR=0.33，95%CI（0.14 至 0.80））、饮酒（AOR=4.77，95%CI（1.16 至 19.5））、工作不满（AOR=4.58，95%CI（1.39 至 15.2））、每天工作时间延长（AOR=2.64；95%CI（1.02 至 6.08））、不使用带背部支撑的可调节座椅（AOR=6.38，95%CI（2.39 至 17.01））与出租车司机腰痛相关。
出租车司机腰痛的患病率较高。超重/肥胖、饮酒、工作不满、每天工作时间延长以及不使用带背部支撑的可调节座椅是出租车司机腰痛的相关因素。因此，建议进行人体工程学和行为相关的意识培训，以减轻出租车司机腰痛的负担。
