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African Health Sciences
Makerere University Medical School
ISSN: 1680-6905
EISSN: 1680-6905
Vol. 15, No. 3, 2015, pp. 972-981
Bioline Code: hs15132
Full paper language: English
Document type: Research Article
Document available free of charge

African Health Sciences, Vol. 15, No. 3, 2015, pp. 972-981

 en Assessment of the biomass related indoor air pollution in Kwale district in Kenya using short term monitoring
Majdan, Marek; Svaro, Miroslav; Bodo, Jan; Taylor, Mark & Muendo, Redempta Malinda


Background: Indoor air pollution remains an important health problem in some countries. Although research data on this issue is available, routine monitoring in affected areas is limited. The aims of this study were to quantify exposure to biomass- related indoor air pollution; assess the respiratory health of subjects; and explore the feasibility of routine monitoring in Kwale district, Kenya.
Methods:We sampled 125 rural houses using short-term monitoring for levels of CO, CO2 and TSP. Additional exposure information was obtained using a checklist. Respiratory health was also assessed using a questionnaire, and electronic spirometer in 172 inhabitants.
Results: The overall median levels of CO in the sampled houses on all study sites ranged from 5.9 (IQR 3-14.5) to 10 (5.5- 21.2) mg/m3, levels of CO2 ranged from 774 (IQR 724-846) to 839 (IQR 749-961) mg/m3) and the levels of TSP ranged from 295 (IQR 79-853 to 1384 (IQR 557-3110) μg/m3 which indicates that safe levels recommended by WHO and USEPA could be exceeded. Relatively high incidences of respiratory illness or symptoms were reported and the spirometry readings suggested impaired lung function in over 80% of respondents.
Conclusion: Our results quantify that the use of biomass fuel can give rise to high levels of indoor air pollution. Given that poor lung function contributes to public health problems in rural regions of East Africa, such as Kwale in Kenya, our findings create grounds for more detailed investigations of the problem and may provide motivation for community based interventions.

Indoor air quality, rural communities, environmental exposures, environmental monitoring, respiratory tract disease, public health

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