Research Article

Fatigue and Sleep Disturbance among Breast Cancer Patients during Treatment in Saudi Arabia

Table 2

Statistical difference among study participants’ demographic variables in sleep quality level.

Demographic variablesSleep quality levelNMeanStd. DeviationStd. error95% confidence interval for meanMinimumMaximumFSig.
Lower boundUpper bound

AgeDaytime dysfunction<30 years361.420.550.091.231.600.002.003.7590.027
30–50 years511.020.790.110.801.240.003.00
>50 years131.380.770.210.921.850.003.00

Marital statusSleep latencyMarried551.930.920.121.682.180.003.005.5440.001
Single321.660.700.121.401.911.003.00
Divorce111.271.350.410.372.180.003.00
Widow30.000.000.000.000.000.000.00
Sleep durationMarried531.381.040.141.091.660.003.005.7150.001
Single311.480.930.171.141.820.003.00
Divorce110.550.690.21-+0.081.010.002.00
Widow33.000.000.003.003.003.003.00
Daytime dysfunctionMarried551.020.710.100.831.210.003.002.9680.036
Single321.470.670.121.231.710.003.00
Divorce111.360.920.280.741.980.003.00
Widow31.000.000.001.001.001.001.00

EmploymentSubjective sleep qualityNone341.440.960.161.111.780.003.006.2870.003
Employee370.760.800.130.491.020.003.00
Student271.441.050.201.031.860.003.00
Use of sleep medicationNone340.591.100.190.200.970.003.003.2300.044
Employee370.160.550.09-0.020.350.003.00
Student270.670.920.180.301.030.003.00
Daytime dysfunctionNone341.180.870.150.871.480.003.007.2970.001
Employee370.920.640.110.711.130.003.00
Student271.590.500.101.391.791.002.00
Global PSQI scoreNone349.033.660.637.7510.304.0017.005.4350.006
Employee376.623.370.555.507.751.0015.00
Student278.702.740.537.629.794.0014.00

IncomeSleep latencyLess than 5000511.840.810.111.622.071.003.003.3200.023
5000–10,000261.850.970.191.462.240.003.00
10,000–20,000231.221.130.230.731.700.003.00
More than 20,00013.003.003.00

Number (N)/standard deviation (Std.)/frequency (F)/significance probability (Sig.), analysis of variance (ANOVA),  < 0.05 two tailed.