The health and economic burden of dust pollution in the textile industry of Faisalabad, Pakistan.

Muhammad Khan, Kashif Muhmood, Hafiz Zahid Mahmood, Imran Hameed Khaliq, Shakila Zaman
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Abstract

Background: Exposure to dust in textile mills adversely affects workers' health. We collected epidemiological data on textile workers suffering from respiratory diseases and assessed work absence associated with illnesses in Faisalabad, Pakistan.

Methods: We recruited 206 workers using multistage sampling from 11 spinning mills in Faisalabad, Pakistan. The data were collected using 2-week health diaries and face-to-face interviews. The data pertains to socio-demographics, occupational exposures, the state of the workers' health, and other attributes. A theoretical framework of the health production function was used to estimate the relationship between cotton dust exposure and respiratory illnesses. We also estimated functional limitations (e.g., work absence) associated with dust exposure. STATA 12 was used to calculate descriptive statistics, an ordered probit for byssinosis, a probit model for chronic cough, and three complementary log-log models for blood phlegm, bronchitis, and asthma to measure dose-response functions. A Tobit model was used to measure the sickness absence function.

Results: We found that cotton dust exposure causes a significant health burden to workers, such as cough (35%), bronchitis (17%), and different grades of byssinosis symptoms (22%). The regression analysis showed that smoking cigarettes and working in dusty sections were the main determinants of respiratory diseases. Dusty work sections also cause illness-related work absences. However, the probability of work absence decreases with the increased use of face masks.

Conclusion: The study's findings imply the significance of promoting occupational safety and health culture through training and awareness among workers or implementing the use of safety gadgets. Promulgating appropriate dust standards in textile mills is also a need of the hour.

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巴基斯坦费萨拉巴德纺织业粉尘污染造成的健康和经济负担。
背景:纺织厂的粉尘暴露会对工人的健康产生不利影响。我们收集了巴基斯坦费萨拉巴德患有呼吸道疾病的纺织工人的流行病学数据,并评估了与疾病相关的缺勤情况:我们采用多阶段抽样法从巴基斯坦费萨拉巴德的 11 家纺纱厂招募了 206 名工人。通过两周健康日记和面对面访谈收集数据。数据涉及社会人口统计学、职业暴露、工人健康状况和其他属性。我们采用健康生产函数的理论框架来估算棉尘暴露与呼吸系统疾病之间的关系。我们还估算了与粉尘暴露相关的功能限制(如缺勤)。我们使用 STATA 12 计算了描述性统计、副鼻炎的有序概率、慢性咳嗽的概率模型以及血痰、支气管炎和哮喘的三个互补对数模型,以衡量剂量反应函数。我们还使用 Tobit 模型来测量缺勤功能:结果:我们发现,接触棉尘会给工人造成严重的健康负担,如咳嗽(35%)、支气管炎(17%)和不同程度的副哮喘症状(22%)。回归分析表明,吸烟和在多尘工段工作是导致呼吸道疾病的主要决定因素。多尘工段也会导致因病缺勤。然而,随着口罩使用量的增加,缺勤的概率会降低:研究结果表明,通过培训提高工人的安全意识或使用安全工具来促进职业安全和健康文化具有重要意义。在纺织厂颁布适当的粉尘标准也是当务之急。
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来源期刊
CiteScore
6.50
自引率
0.00%
发文量
25
审稿时长
10 weeks
期刊介绍: The journal accepts papers of original research which are not being considered for publication elsewhere and which contribute to the advancement of knowledge of Public Health at large
期刊最新文献
Metabolic syndrome prediction based on body composition indices. Pattern of antibiotic use among children caregivers: a cross-sectional study. Correction: Framework for developing cost-effectiveness analysis threshold: the case of Egypt. Psychological antecedents of vaccine inequity: keys to improve the rates of vaccination. Matters arising: On the cost-effectiveness for the Italian National Health Service of nab-paclitaxel plus gemcitabine vs gemcitabine alone in metastatic pancreatic cancer.
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