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Cadernos de Saúde Pública

versão impressa ISSN 0102-311X

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BASTOS, Leonardo Soares; OLIVEIRA, Raquel de Vasconcellos Carvalhaes de  e  VELASQUE, Luciane de Souza. Obtaining adjusted prevalence ratios from logistic regression models in cross-sectional studies. Cad. Saúde Pública [online]. 2015, vol.31, n.3, pp.487-495. ISSN 0102-311X.  http://dx.doi.org/10.1590/0102-311x00175413.

In the last decades, the use of the epidemiological prevalence ratio (PR) instead of the odds ratio has been debated as a measure of association in cross-sectional studies. This article addresses the main difficulties in the use of statistical models for the calculation of PR: convergence problems, availability of tools and inappropriate assumptions. We implement the direct approach to estimate the PR from binary regression models based on two methods proposed by Wilcosky & Chambless and compare with different methods. We used three examples and compared the crude and adjusted estimate of PR, with the estimates obtained by use of log-binomial, Poisson regression and the prevalence odds ratio (POR). PRs obtained from the direct approach resulted in values close enough to those obtained by log-binomial and Poisson, while the POR overestimated the PR. The model implemented here showed the following advantages: no numerical instability; assumes adequate probability distribution and, is available through the R statistical package.

Palavras-chave : Prevalence Ratio; Logistic Models; Cross-Sectional Studies.

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