Table 5.
Results of logistic Regression regressing CC screening on predisposing, need for care and enabling characteristics (n=319; age >=40 years)
| Predisposing characteristics | Need for care characteristics | Enabling characteristics | Predisposing, need for care, and enabling characteristics |
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Variables | β (SE) | Exp(B) | 95% CI | β(SE) | Exp (B) | 95% CI | β(SE) | Exp (B) | 95% CI | B (SE) | Exp (B) | 95% CI |
| Predisposing | ||||||||||||
| Age (years) | −0.06 (0.02)* | 0.94 | 0.90, 0.99 |
−0.04 (0.04) |
0.96 | 0.89, 1.03 |
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| Version | 0.11 (0.38) |
1.12 | 0.53, 2.33 |
0.29 (0.46) |
1.34 | 0.54, 3.31 |
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| Education 6 groups | 0.11 (0.12) |
1.12 | 0.88, 1.43 |
0.06 (0.14) |
1.07 | 0.80, 1.42 |
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| Partner | −0.20 (0.38) |
0.82 | 0.39, 1.70 |
−0.06 (0.47) |
0.94 | 0.38, 2.34 |
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| Need-for-care | ||||||||||||
| Perceived health status | 0.28 (0.22) |
1.32 | 0.87, 2.02 |
0.37 (0.24) |
1.44 | 0.90, 2.30 |
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| BMI | −0.02 (0.03) |
0.99 | 0.94, 1.04 |
−0.01 (0.03) |
0.99 | 0.94, 1.04 |
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| BC adherence (no=0, yes=1) |
1.75 (0.38)** |
5.76 | 2.73, 12.14 |
1.80 (0.42)** |
6.05 | 2.67, 13.69 |
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| Menopausal status (postmenopausal=0, premenopausal=1) |
1.35 (0.39)** |
3.86 | 1.79, 8.32 |
1.01 (0.54) |
2.74 | 0.96, 7.82 |
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| Enabling | ||||||||||||
| Yearly income 6 groups | −0.00 (0.10) |
1.00 | 0.82, 1.22 |
−0.04 (.15) |
0.96 | 0.71, 1.29 |
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| Insurance (no =0, yes=1) |
0.09 (0.37) |
1.09 | 0.53, 2.25 |
−0.21 (0.44) |
0.82 | 0.35, 1.92 |
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| Usual source of care (no=0, yes=1) |
0.77 (0.37)* |
2.17 | 1.06, 4.45 |
0.63 (0.45) |
1.88 | 0.77, 4.58 |
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| −2 Log likelihood | 251 | 208 | 252 | 203 | ||||||||
| Cox and Snell R- squared |
0.03 | 0.11 | 0.02 | 0.12 | ||||||||
| Nagelkerke R-squared | 0.04 | 0.20 | 0.03 | 0.22 | ||||||||
*
Note. p < .0.05
**
p < 0.01