Health Status and Working Condition of Migrant Workers: Major Public Health Problems

Health Status and Working Condition of Migrant Workers: Major Public Health Problems
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DOI:
10.4103/ijpvm.ijpvm_396_16
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发表时间:
2017-09-01
影响因子:
2.1
通讯作者:
Bener, Abdulbari
Bener, Abdulbari
中科院分区:
其他
文献类型:
--
作者:
Bener, Abdulbari

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背景资料:对卡塔尔城市和农村工人的职业健康、危害和工作条件进行的研究和调查很少。目前研究的目的是确定健康状况,生活方式条件,与工作有关的问题,以及在卡塔尔的印度次大陆移民(ISCM)所经历的事故,以及他们获得医疗保健设施的机会。研究方法:这是一个横断面研究的基础上的代表性样本的1186名工人和研究,包括社会人口学特征,医疗条件,和寻求健康的行为和个人经验。结果如下:半城市与城市农民工在文化程度、职业、收入、工作时间、住宿类型等方面差异有统计学意义(P < 0.001)。农民工在体重指数、延迟领取工资、享有医疗保险和病假、吸烟和水烟、生活设施、有无现场安全措施、睡眠时间等方面差异有统计学意义(P <0. 01)。在疼痛、心肺、胃肠道、假神经和内科症状方面,半城市和城市农民工之间差异有统计学意义(P < 0.01)。多因素Logistic回归分析显示,无饮用水、自来水供应、安全设施工具、职业状况、水烟吸烟、卫生间设施、工作时间、住宿类型等是影响农民工健康的重要因素。结论:目前的研究表明,移民缺乏关于其生活方式、医疗条件、健康风险、伤害以及与法律的工作条件和保健服务有关的权利特权的充分信息。
Background: Very little research and survey have been performed on the occupational health, hazards, and working condition of urban and rural of workers in Qatar. The aim of the current study is to identify the health status, lifestyle condition, working-related problems, and accidents experienced by Indian subcontinental migrants (ISCM) in Qatar and their access to health-care facilities. Methods: This is a cross-sectional study based on a representative sample of 1186 workers and study covering sociodemographic characteristics, medical conditions, and health-seeking behaviors and personal experience. Results: There were statistically significant differences between semi-urban and urban migrant workers in terms of educational, occupation, income, working hours, and accommodation type (P < 0.001). Furthermore, there were statistically significant differences between migrant workers in terms of body mass index, delay in receiving salary, the right to medical insurance and sick day entitlement, cigarettes and shisha smoking, amenities, having on-site safety measure, and sleeping hours (P < 0.01). Moreover, there were statistically significant differences between semi-urban and urban migrant workers in terms of pain, cardiopulmonary, gastrointestinal, and pseudoneurologic and medical symptoms (P < 0.01). Multiple logistic regression was used for predictors' health problems in migrant workers such as the absence of drinking water, tap water availability, safety facility tools, occupational status, shisha smoking, toilet facility, working hours, and accommodation type were considered the strong predictors. Conclusions: The current study revealed that there is a lack of insufficient information for the migrants about their lifestyle, medical conditions, health risks, injury, and rights privilege in relation to legal working condition and health services.