Table 3.
Predictors of body image, PCS, MCS, and FACT-Bv4.0 scores: multiple linear stepwise regression analysis† (N = 406)
| Dependent variable | Independent variables | B (95%CI) | P | VIF† |
|---|---|---|---|---|
| Body imagea | Needs satisfaction | − 0.34 (− 0.36, − 0.18) | < 0.001 | 1.02 |
| Needs importance | 0.30 (0.17, 0.36) | < 0.001 | 1.01 | |
| Lumpectomy and axillary dissection (ref. modified radical mastectomy) | −0.11 (− 7.80, − 0.54) | 0.025 | 1.06 | |
| PCSb | Body image | −0.12 (− 0.13, − 0.01) | 0.019 | 1.05 |
| Needs importance | −0.11 (− 0.10, − 0.007) | 0.026 | 1.03 | |
| Chronic disease (ref. yes) | 0.10 (0.03, 3.21) | 0.045 | 1.03 | |
| MCSc | Body image | −0.40 (− 0.42, − 0.27) | < 0.001 | 1.02 |
| Residence (ref. rural) | 0.14 (1.03, 4.49) | 0.002 | 1.02 | |
| Lumpectomy and axillary dissection (ref. modified radical mastectomy) | −0.10 (−6.49, − 0.50) | 0.022 | 1.05 | |
| FACT-Bv4.0d | Body image | −0.42 (− 0.80, − 0.44) | < 0.001 | 1.03 |
| Unemployed (ref. employed) | −0.21 (−11.68, −3.45) | < 0.001 | 1.05 | |
| Needs satisfaction | 0.16 (0.06, 0.37) | 0.008 | 1.02 | |
| Radiotherapy (ref. yes) | 0.13 (0.69, 12.06) | 0.028 | 1.05 | |
| Marital status (ref. married) | −0.13 (−22.80, −1.02) | 0.032 | 1.05 |
Multiple linear stepwise regression analysis was performed after controlling for the following dummy variables: education level (ref. primary and below), marital status (ref. married), employment status (ref. employed), average monthly income over the past year (Chinese yuan, ref. < 1000), residence (ref. rural), chronic disease (ref. yes), illness stage (ref. 0-I), surgery type (ref. modified radical mastectomy), chemotherapy (ref. yes), radiotherapy (ref. yes), and endocrinotherapy (ref. yes), as well as continuous characteristics (age, body image, psychosocial needs importance, and psychosocial needs satisfaction)
aBody image predictor model: R2 = 0.11, F = 15.72, P < 0.001
bPCS predictor model: R2 = 0.04, F = 5.23, P = 0.001
cMCS predictor model: R2 = 0.19, F = 30.97, P < 0.001
dFACT-Bv4.0 predictor model: R2 = 0.35, F = 20.37, P < 0.001
† VIF < 10 indicates no significant multicollinearity
95%CI: 95% confidence interval. VIF: variance inflation factor