摘要：Introduction: Air pollution can adversely affect the health of communities and manifest as a variety of symptoms. Objective: This study aimed at assessing health symptoms among populations living near an oil refinery in Jordan. Methods: A cross-sectional survey study was conducted utilizing convenient random sampling at Al-Hashimeya town (where the refinery is located) and Bal’ma town (about 12 km further away from refinery). A total of 486 participants were recruited for the study. The data were checked, coded, and entered to excel sheet and exported to the Statistical Package for Social Science (SPSS) Version 20 for further analysis. Both bivariate and multivariate logistic regressions were used to identify associated factors. Variables having a P ⩽ 0.25 were fitted to multivariate logistic regression so as to assess the presence and strength of associations between socio-demographic characteristics and health symptoms and outcomes. A P value 0.05 was considered for statistical significance. Results: In the cross tabulation analysis, there were significant differences in the reported respiratory health problems and history of abortions in the family between residents in the 2 towns ( P 0.05). Only 4.7% of Al-Hashimeya residents were extremely enjoying their town compared to 32.9% among Bal’ma residents ( P 0.001). In addition, residents of Al-Hashimeya were at several folds higher risk to have phlegm and about 3 times more likely to have skin problems compared to participants from Bal’ma ( P 0.001). Furthermore, reporting asthma was substantially higher among Al-Hashimeya residents (odds ratio [OR] = 5.20; 95% confidence interval [CI]: 2.11-12.84), and they were more likely to perceive the neighboring oil refinery industry as the leading cause of their health problems than Bal’ma residents (OR = 86.40; 95%CI: 45.95-162.44). Conclusion: Residents living close to the oil refinery industry in Jordan report adverse impacts on their health, including respiratory problems, skin diseases, and perception of poor health.
