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Table 3 Resilience, perceived social support, and coping style as independent predictors of health-related quality of life when controlling socio-demographic and clinical characteristics: multivariate linear regression analysis (N = 431)

From: Perceived social support and coping style as mediators between resilience and health-related quality of life in women newly diagnosed with breast cancer: a cross-sectional study

Independent variables

B (95% CI)d

P

Model Aa

Resilience

0.75 (0.59, 0.92)

 < 0.001

Perceived social support

0.29 (0.06, 0.51)

0.014

Coping style (confrontation)

0.60 (0.01, 1.19)

0.046

Model Bb

Resilience

0.81 (0.66, 0.97)

 < 0.001

Perceived social support

0.28 (0.05, 0.51)

0.016

Coping Style (Avoidance)

0.82 (− 0.07, 1.71)

0.070

Model Cc

Resilience

0.64 (0.47, 0.81)

 < 0.001

Perceived Social Support

0.22 (0.002, 0.45)

0.048

Coping Style (Resignation)

− 1.68 (− 2.48, − 0.89)

 < 0.001

  1. The independents were socio-demographics and clinical characteristics shown in Table 1: education level (ref. primary and below), marital status (ref. married), has children (ref. yes), employment status (ref. unemployed), average monthly income over the past 12 months (Chinese Yuan) (ref. < 3000), place of residence (ref. urban), chronic disease (ref. yes), illness stage (ref. 0–I), metastasis (ref. no metastasis), surgical style (ref. no surgery), adjuvant therapy (ref. conventional chemotherapy), and continuous characteristics (age)
  2. aR = 0.80, R2 = 0.64, F = 14.33, P < 0.001
  3. bR = 0.80, R2 = 0.64, F = 14.25, P < 0.001
  4. cR = 0.81, R2 = 0.66, F = 15.76, P < 0.001
  5. dconfidence interval