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. 2022 May 28;22:198. doi: 10.1186/s12905-022-01783-1

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)

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

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)

aR = 0.80, R2 = 0.64, F = 14.33, P < 0.001

bR = 0.80, R2 = 0.64, F = 14.25, P < 0.001

cR = 0.81, R2 = 0.66, F = 15.76, P < 0.001

dconfidence interval