Ambient air pollution exposure and lung function assessment of filling station attendants in Ibadan, Nigeria

摘要

Background: There is an increasing range of adverse health effects associated with air pollution at very low concentrations. Few studies have assessed respiratory parameters among filling station attendants.Objectives: This study assessed air pollutants; particulate matter (PM10) and total volatile organic compounds (TVOC) concentrations at filling stations as well as determined forced expiratory volume in one second (FEV1) and peak expiratory flow rate (PEFR) levels among filling station attendants.Methods: A cross-sectional study was conducted to assess PM10 and TVOC concentrations at 20 systematically selected filling stations in Ibadan North Local Government Area, Ibadan for 2 months using a Thermo Scientific pDR 1500 PM10 monitor and SF2000-TVOC meter. FEV1 and PEFR levels were measured in order to assess the effect of exposure to PM10 and TVOC on lung function of 100 filling station attendants using a PIKO-1 Electronic peakflow/FEV1 meter.Results: Total mean PM10 concentrations (mu g/m(3)) in the morning (43.7 +/- 16.5) and afternoon (27.8 +/- 7.9) were significantly lower (p 0.01) than the World Health Organization (WHO) guideline limit (50 1.1.g/m(3)). Total mean TVOC concentrations (ppm) in the morning (12.0 +/- 3.4) and afternoon (5.6 +/- 2.4) were however significantly higher (p 0.01) than the Occupational Safety and Health Administration (OSHA) guideline limit (3 ppm). Mean FEV1 for filling station attendants was 1.63 +/- 0.39 and PEER was 171.7 +/- 45.9.Conclusion: Filling stations are hotspots for the emission of VOCs and PM10 . However, filling station attendants in this study are at risk of exposure to high concentrations of VOCs but not PM10. FEV1 and PEFR values among filling station attendants were very low which could possibly be attributed to extended exposure to air pollutants. Regular medical examinations should also be conducted on filling station attendants in order to aid early detection of deviations in their health status.