Hospital visitors as controls in case-control studies

OBJECTIVE: Selecting controls is one of the most difficult tasks in the design of case-control studies. Hospital controls may be inadequate and random controls drawn from the base population may be unavailable. The aim was to assess the use of hospital visitors as controls in a case-control study on the association of organochlorinated compounds and other risk factors for breast cancer conducted in the main hospital of the "Instituto Nacional de Câncer" -- INCA (National Cancer Institute) in Rio de Janeiro (Brazil). METHODS: The study included 177 incident cases and 377 controls recruited among female visitors. Three different models of control group composition were compared: Model 1, with all selected visitors; Model 2, excluding women visiting relatives with breast cancer; and Model 3, excluding all women visiting relatives with any type of cancer. Odds ratios (OR) and 95% confidence intervals were calculated to test the associations. RESULTS: Age-adjusted OR for breast cancer associated with risk factors other than family history of cancer, except smoking and breast size, were similar in the three models. Regarding family history of all cancers, except for breast cancer, there was a decreased risk in Models 1 and 2, while in Model 3 there was an increased risk, but not statistically significant. Family history of breast cancer was a risk factor in Models 2 and 3, but no association was found in Model 1. In multivariate analysis a significant risk of breast cancer was found when there was a family history of breast cancer in Models 2 and 3 but not in Model 1. CONCLUSIONS: These results indicate that while investigating risk factors unrelated to family history of cancer, the use of hospital visitors as controls may be a valid and feasible alternative.

Sensitivity analysis for unmeasured confounders using an electronic spreadsheet

In studies assessing the effects of a given exposure variable and a specific outcome of interest, confusion may arise from the mistaken impression that the exposure variable is producing the outcome of interest, when in fact the observed effect is due to an existing confounder. However, quantitative techniques are rarely used to determine the potential influence of unmeasured confounders. Sensitivity analysis is a statistical technique that allows to quantitatively measuring the impact of an unmeasured confounding variable on the association of interest that is being assessed. The purpose of this study was to make it feasible to apply two sensitivity analysis methods available in the literature, developed by Rosenbaum and Greenland, using an electronic spreadsheet. Thus, it can be easier for researchers to include this quantitative tool in the set of procedures that have been commonly used in the stage of result validation.

Validade da escala de depressão do Center for Epidemiological Studies entre idosos brasileiros

OBJETIVO: Obter validade interna, de construto e de critério para a escala Center for Epidemiological Studies - Depression, em idosos. MÉTODOS: O instrumento foi aplicado a 903 idosos residentes em Juiz de Fora, Estado de Minas Gerais, entre os anos de 2002-2003. Os resultados foram comparados com a versão brasileira da Geriatric Depression Scale, aplicado a uma subamostra de 446 respondentes. A consistência interna das duas escalas foi aferida pelo coeficiente alfa de Cronbach, calculado para os itens em sua totalidade e para os itens de cada fator obtido para o instrumento avaliado. Para avaliar a validade de construto, seus 20 itens foram submetidos à análise fatorial exploratória a fim de conhecer o padrão de variação conjunta dos itens e a variância explicada por cada fator. RESULTADOS: O instrumento revelou índices satisfatórios de validade interna (alfa=0,860), sensibilidade (74,6%) e especificidade (73,6%), para nota de corte >11. Entretanto, apontou freqüência relativamente alta de falsos positivos em comparação à Geriatric Depression Scale: de 33,8% vs. 15%. A análise fatorial exploratória do instrumento gerou estrutura fatorial com três fatores: afetos negativos, dificuldades de iniciar comportamentos e afetos positivos. CONCLUSÕES: O instrumento mostrou-se psicometricamente adequado para uso entre idosos. Entretanto, estudos adicionais de natureza longitudinal e transversal, desenvolvidos em diferentes contextos, poderão esclarecer os efeitos de variáveis somáticas e situacionais sobre os resultados desse instrumento em pessoas idosas.