RESUMO
Heart failure (HF) is a major cause of morbidity and mortality in high income countries. Shortage of population based HF studies from Low and Middle Income countries (LMIC) make global prevalence estimates difficult. In this editorial we discuss the possibility of generating HF data in LMICs by initiating HF surveillance systems integrated into the existing health surveillance system.
Assuntos
Conhecimentos, Atitudes e Prática em Saúde , Insuficiência Cardíaca/epidemiologia , Países Desenvolvidos/estatística & dados numéricos , Países em Desenvolvimento/estatística & dados numéricos , Saúde Global , Recursos em Saúde , Humanos , Vigilância da População , Prevalência , Pesquisa Translacional BiomédicaRESUMO
This article aims to study the relationship between socioeconomic position (SEP) and prevalence of self-reported diabetes in a rural population in Kerala, India. This study was designed as a cross-sectional survey. Data from PROLIFE, a prospective cohort study involving the long-term follow-up of the residents of an administrative unit in Kerala, India, was used. The 33 379 households in the study area were divided into 4 groups (SEP1 to SEP4) on the basis of household assets. Prevalence of diabetes was ascertained through a lifestyle questionnaire. The proportion of self-reported diabetes was highest (at 11.1%) in SEP4, the group with the highest socioeconomic status, when compared with 3.1% in SEP1. The trend was similar in both sexes. Prevalence of self-reported diabetes increases as one moves up the socioeconomic ladder in this rural community.
