Stress, HRQoL, 5 Personality Factors
Linear Regression showed that 88% (R2 =0.88) of
the variance in the Stress data could be explained by the levels of the
overall HRQoL. The results showed that the model is a statistically
significant predictor of Stress, F(1,45)=336.75, p =0.00. This
means that as the HRQoL increases by one unit, Stress also increases by
0.430 units (β =0.430). Multiple Regression showed that the
subscales of HRQoL, Pain (β = 0.07, p =0.01), Control and
powerlessness (β =0.10, p =0.00), Emotional wellbeing
(β = 0.19, p =0.00) and Social Support (β = 0.11,p =0.00) were statistically significant predictors of Stress
symptoms, F(6,40)=89.29, p =0.00. That is, for every increase by 1
unit of Pain, Control and Weakness, Emotional Well-being and Social
Support, Stress levels increased by 0.07, 0.10, 0.19 and 0.11 units
respectively.
Multiple Regression showed that 43% of the variance in the Stress data
could be explained by the 5 Personality Factors. The results showed that
Extraversion (β = 0.37, p =0.04) and Neuroticism (β= -0.93, p =0.00) are statistically significant predictors of
Stress, F(5,41)=7.66, p =0.00. This means, as the Extraversion
levels increased by 1 unit, Stress levels increased by 0.37 units. Also,
as the Neuroticism levels increased, Stress levels decreased by 0.93
units.