Asthma has become a public health issue since the 1960's. Factors associated with asthma are environmental and genetic. This study is based on a random sample of 742 students aged 13-14 attending various schools at Polokwane, in the Province of Limpopo in South Africa. Survey logistic regression and multi-level analyses were used for data analysis. The study identifies three key determinants of asthma at the district, school and individual levels. The study shows that persistent cough (OR = 4.01), exposure to smoke at the household level (OR = 2.39) and lack of access to flush toileta at the household level (OR = 1.89) are key predictors of asthma in children. Variability at the level of districts accounts for 46% of total variance. Variability at the level of schools accounts for 33% of total variance.
Keywords: asthma; cough; flush toilet; multi-level analysis; odds ratio; smoke.