Background Many epidemiologic studies report the odds ratio as a measure of association
for cross-sectional studies with common outcomes. In such cases, the prevalence ratios may
not be inferred from the estimated odds ratios. This paper overviews the most commonly
used procedures to obtain adjusted prevalence ratios and extends the discussion to the
analysis of clustered cross-sectional studies. Methods Prevalence ratios (PR) were
estimated using logistic models with random effects. Their 95% confidence intervals were …

… ▪ It is well known that OR can provide a good approximation to prevalence ratios (PR) in
crosssectional studies when the underlying outcome is rare. … ✓ Aim of the analysis:
estimated the effect of maternal mental health status on asthma occurrence. … ➢Other
model-based approaches that has been commonly used to estimate PR are Poisson and log-binomial
models, which have advantage related to the direct estimation of PR and confidence intervals. …