Tariqujjaman Md, Tanha Arifa Farzana, Hossain Md Alamgir, Hares Abul, Rahaman Md Matiur, Sultana Nadia, Ferdous Fahmida, Hasan Md Mehedi, Azad Md Rashidul
Nutrition Research Division, icddr, b, Dhaka, Bangladesh.
Maternal and Child Health Division, icddr, b, Dhaka, Bangladesh.
PLoS One. 2025 Sep 18;20(9):e0332624. doi: 10.1371/journal.pone.0332624. eCollection 2025.
Annually, numerous workers face job loss, injuries, and fatalities due to various occupational injuries (OIs). However, less is known regarding the burden of OIs and their associated factors in the textile and garment industries in Bangladesh. This study aimed to determine the prevalence of OI and the individual and job-related factors associated with OI among textile and garment workers in Bangladesh. We analyzed cross-sectional data of 13,738 workers collected during 2016-2017 from the nationally representative Bangladesh Labor Force Survey. We employed multiple Firth logistic regression models to explore the different levels of associated factors of OI. The overall prevalence of OI was 1.8%, with a higher prevalence in the textile industry (3.8%) compared to the garment industry (1.2%). Within the textile industry, jute manufacturing exhibited the highest prevalence (12.3%), while in the garment sector, the embroidery and wearing industries had the highest prevalence (1.8%). Adjusted models revealed that, in the textile industry, migrant workers had higher odds of OI (Adjusted Odds Ratio, AOR = 1.65; p = 0.017) compared to non-migrant workers. In the garment industry, male workers (AOR = 1.95; p = 0.002) and those working over 48 hours per week (AOR = 1.70; p = 0.063) were at greater risk of OI. A hazardous work environment significantly increased the odds of OI in both industries (textile: AOR = 13.06; p < 0.001; and garment: AOR = 3.13; p < 0.001). Additionally, garment workers without adequate protective equipment or cloth while working had a higher likelihood of OI (AOR = 1.90; p = 0.006). Regionally, workers in the Barisal division had higher odds of OI in the textile industry. Although the overall prevalence of OI was low, the disproportionate burden among certain subgroups, especially in jute manufacturing and the manufacture of spooling and thread, highlights critical areas for intervention. Improving workplace safety through the provision of protective equipment and a safer working environment is essential to mitigating OI in the textile and garment industries of Bangladesh.
每年，许多工人因各种职业伤害（OI）面临失业、受伤和死亡。然而，对于孟加拉国纺织和服装行业职业伤害的负担及其相关因素，我们了解得较少。本研究旨在确定孟加拉国纺织和服装工人中职业伤害的患病率以及与职业伤害相关的个人和工作因素。我们分析了2016 - 2017年期间从具有全国代表性的孟加拉国劳动力调查中收集的13738名工人的横断面数据。我们采用多个费思逻辑回归模型来探究职业伤害相关因素的不同水平。职业伤害的总体患病率为1.8%，纺织行业（3.8%）的患病率高于服装行业（1.2%）。在纺织行业中，黄麻制造业的患病率最高（12.3%），而在服装行业，刺绣和制衣行业的患病率最高（1.8%）。调整后的模型显示，在纺织行业，与非移民工人相比，移民工人发生职业伤害的几率更高（调整优势比，AOR = 1.65；p = 0.017）。在服装行业，男性工人（AOR = 1.95；p = 0.002）以及每周工作超过48小时的工人（AOR = 1.70；p = 0.063）发生职业伤害的风险更大。危险的工作环境显著增加了两个行业中职业伤害的几率（纺织行业：AOR = 13.06；p < 0.001；服装行业：AOR = 3.13；p < 0.001）。此外，服装工人在工作时没有足够的防护设备或衣物，发生职业伤害的可能性更高（AOR = 1.90；p = 0.006）。在地区方面，巴里萨尔专区的工人在纺织行业发生职业伤害的几率更高。尽管职业伤害的总体患病率较低，但某些亚组中的不成比例负担，尤其是在黄麻制造以及络筒和制线行业，凸显了关键的干预领域。通过提供防护设备和更安全的工作环境来改善工作场所安全对于减轻孟加拉国纺织和服装行业的职业伤害至关重要。
