Revista Cubana de Salud Pública
Print version ISSN 0864-3466
LOPEZ PARDO, Cándido M.. Health status and its relation with health determinants: analysis procedures. Rev. cub. salud pública [online]. 2008, vol.34, n.2, pp. 0-0. ISSN 0864-3466. http://dx.doi.org/10.1590/S0864-34662008000200010.
Objectives: To present the analysis procedures classified into the categories of "general procedures of statistics and of epidemiology" and, "other procedures" that make it possible to evaluate the global health status and set the relationship between the population´s health status and its determinants. Data sources: Eighteen books, eight journal articles and eight international body documents, one governmental agency document, two monographies, three software manuals and a research result were reviewed. Of these papers, one article was taken from Internet. Eighteen of the used sources were published from 2000 to 2007 whereas nine had been published in the last decade of the last century. Those papers made before 1990 are classical works of statistics, epidemiology and public health of compulsory reference. Data synthesis: Among the procedures under examination in the present paper and grouped into "general procedures of statistics and of epidemiology", there appear the classical and non-parametric hypothesis tests, the Poisson-type minimum square regression analysis, the correlation analysis and the contingency tables. Among those grouped into "other procedures", entropy notion-based indicators were included. Conclusions: This article follows a previous paper in which the analysis procedures were grouped into other five categories. It was concluded that there is a varied number of regular uses with different purposes, which makes it possible to assess the population's health status and to identify the relation of the health status and its determinants, many of which are barely used in other papers devoted to the same topic. Because of its validity and significance, it is recommended to further delve into the study of this subject.
Keywords : Health status; determinants; measurements.