Table 3

- Differences in self-care practices.

VariablesMaintenanceMonitoringManagementConfidence
Gender
Male3.377±0.6383.332±0.7253.70±0.6514.10±0.724
Female3.372±0.6723.43±0.7103.88±0.5724.40±0.573
T-testt(243)=0.052, p=0.958t(243)=1.03, p=0.302t(243)=2.29, p=0.023*t(243)=3.09, p=0.002*
Education
No education3.34±0.593.24±0.733.79±0.574.26±0.64
General education†3.44±0.643.44±0.673.83±0.534.15±0.71
Graduate3.79±0.573.32±0.803.54±0.594.20±0.72
ANOVAF=(2,242)=1.66, p=0.191F=(2,242)=1.82, p=0.164F=(2,242)=5.18, p=0.006*F=(2,242)=0.502, p=0.606
Employment
Not employed3.36±0.593.38±0.653.81±0.574.25±0.67
Retired3.48±0.653.46±0.733.79±0.584.21±0.67
Government3.33±0.673.36±0.733.63±0.554.10±0.77
Private3.06±0.672.86±0.773.59±0.454.00±0.71
ANOVAF=(3,241)=2.47, p=0.062F=(3,241)=4.06, p=0.008*F=(3,241)=1.60, p=0.189F=(3,241)=0.978, p=0.404
Marital status
Single3.23±0.633.37±0.673.77±0.554.23±0.79
Married3.41±0.643.36±0.733.75±0.574.18±0.66
T-testt(243)=1.74, p=0.082t(243)=0.105, p=0.916t(243)=0.269, p=0.789t(243)=0.461, p=0.645

Values are presented as mean ± standard deviation (SD). *Significance level at 0.05. General education include primary, secondary, and high school education. ANOVA: analysis of variance