2.4. Statistical analysis

Descriptive statistics, correlation and t-tests analyses were used to describe variables and assess the relationships between the predictor and outcome variables. Predictor variables that were significantly associated with the dependent variable (PA) and demographics were included in a linear regression model to predict readiness change PA. The following predictors were entered into the model simultaneously: false positive status, family history of breast cancer, age, race, education, and income.