Chattopadhyay Kaushik, Chattopadhyay Chaitali, Kaltenthaler Eva
Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
Monitoring and Evaluation, United Nations Office for Project Services, Geneva, Switzerland.
BMJ Open. 2015 Mar 20;5(3):e007084. doi: 10.1136/bmjopen-2014-007084.
During the past decade, coal-based sponge iron plants, a highly polluted industry, have grown rapidly in Barjora, India. The toxic effects of particulate matters and gaseous pollutants include various respiratory diseases. Understanding workers' perception of respiratory health is essential in people-centred healthcare. The aim of the study was to assess their respiratory health status and to determine its predictors.
Cross-sectional study.
Coal-based sponge iron plants in Barjora, India.
258 coal-based sponge iron plant workers.
Respiratory health status was measured using the St. George's respiratory questionnaire (SGRQ) total score. 100 and 0 represent the worst and best possible respiratory health status, respectively.
The two-part model (frequency (any worse respiratory health status) and severity (amount of worse respiratory health status)) was developed for the score, as the data were positively skewed with many zeros.
The mean (SD) SGRQ total score was 7.7 (14.5), the median (IQR) was 0.9 (9.0), and the observed range was 0-86.6. The best possible SGRQ total score was reported by 46.9% of workers. Independent predictors of worse respiratory health status were cleaner domestic cooking fuel (coefficient -0.76, 95% CI -1.46 to -0.06, p=0.034) and personal history of any respiratory disease (1.76, 1.04 to 2.47, p<0.001) in case of frequency; and family history of any respiratory disease (0.43, 0.02 to 0.83, p=0.039) and personal history (1.19, 0.83 to 1.54, p<0.001) in case of severity.
Less than half of the coal-based sponge iron plant workers in Barjora have the best possible respiratory health status. The predictors of worse respiratory health status were identified. The study findings could be taken into consideration in future interventional studies aimed at improving the respiratory health status of these workers.
在过去十年中，作为高污染行业的煤基海绵铁厂在印度巴尔乔拉迅速发展。颗粒物和气态污染物的毒性作用包括各种呼吸道疾病。在以人为本的医疗保健中，了解工人对呼吸健康的认知至关重要。本研究的目的是评估他们的呼吸健康状况并确定其预测因素。
横断面研究。
印度巴尔乔拉的煤基海绵铁厂。
258名煤基海绵铁厂工人。
使用圣乔治呼吸问卷（SGRQ）总分来衡量呼吸健康状况。100分和0分分别代表最差和最佳的呼吸健康状况。
由于数据呈正偏态且有许多零值，因此针对该分数建立了两部分模型（频率（任何更差的呼吸健康状况）和严重程度（更差的呼吸健康状况的程度））。
SGRQ总分的均值（标准差）为7.7（14.5），中位数（四分位间距）为0.9（9.0），观察范围为0至86.6。46.9%的工人报告了可能的最佳SGRQ总分。在频率方面，呼吸健康状况较差的独立预测因素是使用清洁的家用烹饪燃料（系数 -0.76，95%置信区间 -1.46至 -0.06，p = 0.034）和任何呼吸道疾病的个人病史（1.76，1.04至2.47，p < 0.001）；在严重程度方面，任何呼吸道疾病的家族病史（0.43，0.02至0.83，p = 0.039）和个人病史（1.19，0.83至1.54，p < 0.001）。
巴尔乔拉不到一半的煤基海绵铁厂工人具有可能的最佳呼吸健康状况。确定了呼吸健康状况较差的预测因素。在未来旨在改善这些工人呼吸健康状况的干预研究中可考虑本研究结果。
