Objetivo: investigar a associação da posição socioeconômica e comorbidades com o autorrelato da deficiência. Métodos: Dados provenientes de inquérito populacional em Belo Horizonte, entre 2008 e 2009. Amostragem foi probabilística, estratificada por conglomerados em três estágios: setor censitário, domicílio e indivíduos. A variável resposta foi deficiência, definida a partir do autorrelato de problemas nas funções ou nas estruturas do corpo. As variáveis explicativas foram: sexo, idade, morbidade referida e índice da posição socioeconômica que incluiu variáveis de escolaridade materna, do entrevistado e renda familiar. Empregou-se a análise fatorial para avaliar a composição do índice da posição socioeconômica e análise de regressão logística. Resultados: A prevalência de deficiência foi de 10,43%. O autorrelato de deficiência associou-se à idade (OR = 1,02; IC 95%: 1,01; 1,03), ao relato de duas ou mais doenças (OR = 3,24; 2,16-4,86) e ao índice da posição socioeconômica (OR = 0,96; IC 95%: 0,95-0,97). Conclusão: A pior posição socioeconômica e a ocorrência de doenças parecem contribuir para a ocorrência de deficiência. Esses resultados evidenciam as iniquidades em saúde entre as pessoas com deficiência e a relevância do BPC no atendimento a populações vulneráveis.
Palavras-chave:
Pessoas com deficiência. Posição socioeconômica. Prevalência. Benefício de Prestação Continuada.
Abstract:
Objective: To investigate the association of socioeconomic position (SP) and comorbidity of self-reported disability. Methods: Date were obtaineda population survey in Belo Horizonte, between 2008 and 2009. The sample was probabilistic, stratified by conglomerates in three stages: census tracts, households and individuals. The outcome variable was disability, defined by the self-reported problem in the function or structure of the body. The explanatory variables were gender, age, self-reported morbidity and SP index that included the variables maternal education and interviewed and family income. The factorial analysis was used to evaluate SP index and logistic regression. Results: The prevalence of disability in the population was 10.43% (95% CI: 9.1 to 11.7%). In multivariate analysis self-reported disability was associated with age (OR = 1.02; 95% CI: 1.01, 1.03) and reporting of two or more diseases and SP index (OR = 0.96; 95% CI: 0.95 to 0.97). Conclusion: The low socioeconomic status and occurrence of diseases appears to contribute to the occurrence of disability. These results show the health inequities among people with disabilities, and the relevance of BPC to support vulnerable populations.
Keywords:
People with disabilities. Socioeconomic status. Prevalence. BPC.
Socioeconomic position and disability: “the BH health Study”.
Resumo (abstract):
Objective: To investigate the association of socioeconomic position (SP) and comorbidity of self-reported disability. Methods: Date were obtaineda population survey in Belo Horizonte, between 2008 and 2009. The sample was probabilistic, stratified by conglomerates in three stages: census tracts, households and individuals. The outcome variable was disability, defined by the self-reported problem in the function or structure of the body. The explanatory variables were gender, age, self-reported morbidity and SP index that included the variables maternal education and interviewed and family income. The factorial analysis was used to evaluate SP index and logistic regression. Results: The prevalence of disability in the population was 10.43% (95% CI: 9.1 to 11.7%). In multivariate analysis self-reported disability was associated with age (OR = 1.02; 95% CI: 1.01, 1.03) and reporting of two or more diseases and SP index (OR = 0.96; 95% CI: 0.95 to 0.97). Conclusion: The low socioeconomic status and occurrence of diseases appears to contribute to the occurrence of disability. These results show the health inequities among people with disabilities, and the relevance of BPC to support vulnerable populations.
Palavras-chave (keywords):
People with disabilities. Socioeconomic status. Prevalence. BPC.
