Department of Physiotherapy, School of Medicine, College of Medicine and Health Sciences, University of Gondar, P.O. Box: 196, Gondar, Ethiopia.
SRM College of Physiotherapy, SRM Institute of Science and Technology (SRMIST), Kattankulathur, Chennai, Tamil Nadu, India.
BMC Musculoskelet Disord. 2023 Jun 15;24(1):493. doi: 10.1186/s12891-023-06619-z.
In the absence of a standardized work environment, insurance system, occupational safety measures and expanding workload an uptrend of musculoskeletal disorders secondary to occupational hazards is observed among a wide range of occupations in developing countries including street sweepers/cleaners. The aim of this study is to determine the burden and potential factors associated with musculoskeletal disorders among street cleaners/solid waste collectors in Gondar town, Ethiopia.
A cross-sectional study design was used to determine the burden and identify potential risk factors of musculoskeletal disorders among street cleaners. Street cleaners (n = 422) working experience of at least one year were randomly selected from the community at their respective work sites (street). A face-to-face interview recorded the participant's response addressing socio-demographic, occupational, job satisfaction, disability related to basic ADL, physical measurements, and self-reported pain using the Nordic-Musculoskeletal questionnaire. The logistic regression model was created to identify potential factors associated with self-reported MSDs.
The sample consists of women street sweepers/cleaners (100%, n = 422, response rate 100%) with at least one-year of work experience with a mean age of 37.03 ± 8.26. About 40% of women sweepers were illiterate and 95% reported no job satisfaction. The overall prevalence of MSDs was 73% (n = 308, 95% CI; 68.5, 77.2), among them nearly 65% reported having experienced disability in performing basic ADL in the past 12 months. Low back pain was the most prevalent region (n = 216, 70.1% case versus MSDs n = 308). In univariate and multivariate logistics analysis, being overweight/obese (AOR of 4.91 (95%, 2.22, 10.87)), age group 35 and above (AOR 2.534 (1.51, 4.26)), not-satisfied with job (AOR 2.66 (1.05, 6.75)), and street cleaning distance of longer than 2 km (AOR 2.82 (1.64, 4.83)) were significantly associated with self-reported musculoskeletal disorder..
This study demonstrated higher self-reported MSDs among street sweepers/cleaners. Modifiable predictors like overweight, lack of job satisfaction, and cleaning longer distance were identified to be associated. Hence, there is a need for ergonomic measures and policy to curb these factors to reduce the burden of MSD among women street sweepers.
在缺乏标准化工作环境、保险制度、职业安全措施和不断扩大的工作量的情况下，发展中国家包括街道清洁工在内的许多职业中，与职业危害相关的肌肉骨骼疾病呈上升趋势。本研究旨在确定在埃塞俄比亚贡德尔镇，街道清洁工/固体废物收集者中肌肉骨骼疾病的负担和潜在相关因素。
采用横断面研究设计，确定街道清洁工肌肉骨骼疾病的负担和识别潜在的危险因素。从社区中随机选择至少有一年工作经验的街道清洁工（n=422），在他们各自的工作地点（街道）进行面对面访谈。记录参与者的回答，内容涉及社会人口统计学、职业、工作满意度、与基本 ADL 相关的残疾、身体测量和使用北欧肌肉骨骼问卷自我报告的疼痛。创建逻辑回归模型，以确定与自我报告的 MSD 相关的潜在因素。
该样本由女性街道清洁工（100%，n=422，应答率 100%）组成，至少有一年工作经验，平均年龄为 37.03±8.26 岁。大约 40%的女性清洁工是文盲，95%的人报告工作不满意。肌肉骨骼疾病的总体患病率为 73%（n=308，95%CI；68.5，77.2），其中近 65%的人报告在过去 12 个月中在进行基本 ADL 时出现残疾。腰痛是最常见的部位（n=216，70.1%病例与 MSDs n=308）。在单变量和多变量逻辑分析中，超重/肥胖（AOR 为 4.91（95%，2.22，10.87））、年龄组 35 岁及以上（AOR 2.534（1.51，4.26））、工作不满意（AOR 2.66（1.05，6.75））和清扫距离超过 2 公里（AOR 2.82（1.64，4.83））与自我报告的肌肉骨骼疾病显著相关。
本研究表明，街道清洁工自我报告的肌肉骨骼疾病发病率较高。确定了可改变的预测因素，如超重、缺乏工作满意度和清扫距离较长，与这些因素有关。因此，需要采取人体工程学措施和政策来遏制这些因素，以减轻女性街道清洁工的肌肉骨骼疾病负担。
