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Farmers are at risk of exposure to particulate matter with the potential for reduced lung function due to the link between agricultural activities and respiratory diseases. This study predicted exposure to dust particles using spirometric index and perception studies among farmers in selected farm settlements in Ogun State. Using a cross-sectional comparative study design involving, 195 consenting farmers and non-farmers for interview and on-the-spot lung functions test; and ambient levels of suspended particulate matter were determined. Data collected were evaluated through descriptive and inferential statistics. Results showed that most of the farmers (51.8%) applied manures, fertilizers and chemical sprays without the use of PPEs. A large portion of farmers (74.9%) and non-farmers (82.1%) understood that poor quality of air could result in respiratory diseases. TSP (29.89 ± 23.52 µg m-3) and PM10 (18.45 ± 16.97 µg m-3) were observed at the highest concentration during the wet season while the highest level of PM2.5 (18.45 ± 11.72 µg m-3) was observed in the dry season. There was significant variation in the mean seasonal concentrations of PM10 and PM2.5 (p<0.001). Significant variations were also observed between FEV1 (1.16 ± 0.87 and 2.47 ± 0.87) and PEFR (244.32 ± 117.96 and 271.29 ± 104.09) of farmers and non-farmers, respectively. The study showed that farmers engaged in poor safety practices and had reduced lung function compared to non-farmers. Routine particulate matter and lung function assessment should be encouraged in farm settlements while farmers are advised to adopt the use of PPEs and imbibe safety practices.

Predicting Exposure to Dust Particles Using Spirometric Index and Perception Studies among Farmers in Selected Farm Settlements in Ogun State, Nigeria