Table 3.
Results of the multivariable linear regression analysis model of breast cancer screening motivation, N = 649
Variables | Autonomous | Introjected | External | Amotivation | Motivation of breast cancer screening | |||||
---|---|---|---|---|---|---|---|---|---|---|
Predicted factor | β | t | β | t | β | t | β | t | β | t |
Ethnicity | 0.09 | 2.45* | 0.01 | 0.35 | 0.08 | 2.25* | 0.07 | 1.70 | 0.08 | 2.18* |
Religion | 0.08 | 2.02 | 0.09 | 2.36* | 0.02 | 0.42 | 0.05 | 1.20 | 0.06 | 1.69 |
Breast cancer screening | 0.02 | 0.45 | -0.03 | -0.62 | 0.06 | 1.43 | -0.03 | -0.61 | 0.01 | 0.32 |
Having regular health check-ups | 0.18 | 4.24** | 0.07 | 1.72 | 0.11 | 2.62** | 0.08 | 1.96 | 0.14 | 3.35** |
Family history of breast cancer | 0.18 | 4.37 | 0.25 | 6.12** | 0.15 | 3.68** | 0.12 | 2.83** | 0.19 | 4.67** |
Regularly absorb information about breast cancer | 0.07 | 1.68 | 0.03 | 0.69 | 0.14 | 3.31** | 0.05 | 1.28 | 0.09 | 2.09* |
Having women’s health issues in the past | 0.11 | 2.64** | 0.11 | 2.67** | 0.08 | 1.90 | 0.18 | 4.39** | 0.13 | 3.28** |
F = 14.67 p = 0.000 R2 = 0.14 R2Adjusted = 0.13 |
F = 12.61 p = 0.000 R2 = 0.12 R2Adjusted = 0.11 |
F = 11.85 p = 0.000 R2 = 0.12 R2Adjusted = 0.11 |
F = 8.74 p = 0.000 R2 = 0.087 R2Adjusted = 0.08 |
F = 14.64 p = 0.000 R2 = 0.14 R2Adjusted = 0.13 |
*p < 0.05; **p < 0.01