Using PRECEDE to predict breast self-examination in older, lower-income women

Older, low-income women have been shown to participate In breast cancer detection practices at a low rate while at greater risk for morbidity and mortality. PRECEDE allowed organization of 102 potential predictors of breast self-examination (BSE) in effort to identify factors which are associated with BSE. Bivariate associations were calculated. Those highly correlated with frequency and proficiency were entered into regression equations. Variance explained was 40 and 66%, respectively. Combining models produced a final model with 10 variables that can be incorporated into teaching programs and clinical encounters to enhance compliance.