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Table 5 Univariate and multivariate linear regression analysis between Total stress and Age parents, Gender parents, Civil status, Job, Education level, Age children, Gender children, Age at diagnosis, Number of siblings, Birth order, Clinical Severity

From: An investigation on parenting stress of children with cystic fibrosis

Linear correlation analysis

Univariate analysis

R (p-value)

Multivariate analysis

Rpartial; p-value

  

Multiple linear correlation coefficient = 0.22

Total Stress / Age parents

0.09 (0.56)

Rpartial = 0.12; p-value = 0.43

Total Stress / Gender parents

0.02 (0.87)

Rpartial = 0.09; p-value = 0.59

Total Stress / Civil status

−0.12 (0.42)

Rpartial = −0.15; p-value = 0.34

Total Stress / Job

− 0.08 (0.58)

Rpartial = − 0.13; p-value = 0.39

Total Stress / Education level

−0.03 (0.83)

Rpartial = − 0.07; p-value = 0.67

  

Multiple linear correlation coefficient = 0.51

Total Stress / Age children

0.25 (0.08)

Rpartial = − 0.03; p-value = 0.83

Total Stress / Gender children

−0.1 (0.51)

Rpartial = − 0.15; p-value = 0.36

Total Stress / Age at diagnosis

0.1 (0.52)

Rpartial = 0.05; p-value = 0.76

Total Stress / Number of siblings

0.28 (0.05)

Rpartial = 0.34; p-value = 0.0282 a

Total Stress / Birth order

−0.15 (0.31)

Rpartial = − 0.37; p-value = 0.0177 a

Total Stress / Clinical Severity

0.30 (0.0424) *

Rpartial = 0.14; p-value = 0.38

  1. a = significant test; R = Pearson’s linear correlation coefficient; R_partial = the partial correlation coefficient is the
  2. coefficient of correlation of the variable with the dependent variable, adjustment due to the impact of the other variables on the mode; PD = Parental Distress, P-CDI = Parental – Children Distress Interaction, DC = Difficulty Children, Total stress = (PD + P-CDI + DC);