Observational Study
Copyright ©The Author(s) 2023.
World J Psychiatry. Sep 19, 2023; 13(9): 698-706
Published online Sep 19, 2023. doi: 10.5498/wjp.v13.i9.698
Table 1 Sociodemographic characteristics and their differences among primary variables
Variablesn%
Life satisfaction
Resilience
Depression
mean ± SD
mean ± SD
mean ± SD
GenderMale5832.584.23 ± 0.743.25 ± 0.2353.55 ± 7.10
Female12067.424.03 ± 0.793.06 ± 0.2557.50 ± 9.13
t2.733 31.112 9.262
P0.100 < 0.0010.003
Age< 306033.714.72 ± 0.823.27 ± 0.2751.47 ± 6.95
30-4510760.103.79 ± 0.533.06 ± 0.2658.02 ± 8.31
46-60116.183.60 ± 0.332.93 ± 0.2264.55 ± 8.78
F44.439 14.76919.699
P< 0.001< 0.001< 0.001
Marital statusMarried10458.433.93 ± 0.653.10 ± 0.2756.86 ± 8.46
Unmarried4826.974.55 ± 0.903.21 ± 0.2952.79 ± 7.61
Divorced or other2614.613.88 ± 0.673.09 ± 0.2959.96 ± 9.69
F13.505 2.829 6.824
P< 0.0010.062 0.001
Educational levelJunior college or below7743.264.07 ± 0.773.11 ± 0.3056.18 ± 8.99
University degree or above10156.744.11 ± 0.783.14 ± 0.2756.24 ± 8.52
t0.0940.5660.002
P0.7590.4530.966
Professional titlePrimary5430.344.53 ± 0.883.21 ± 0.2953.11 ± 7.89
Intermediate11061.803.92 ± 0.643.10 ± 0.2657.61 ± 8.40
Senior147.873.80 ± 0.683.04 ± 0.3257.21 ± 11.32
F14.515 3.7385.169
P< 0.0010.0260.007
Years of work experience< 107944.384.51 ± 0.833.22 ± 0.2753.06 ± 7.25
10-197441.573.80 ± 0.553.07 ± 0.2758.07 ± 8.52
20-382514.043.63 ± 0.452.98 ± 0.2560.68 ± 10.15
F27.726 9.83711.328
P< 0.001< 0.001< 0.001
Monthly income (RMB)< 30003921.914.69 ± 0.883.25 ± 0.2851.46 ± 6.89
3000-500011866.293.94 ± 0.663.10 ± 0.2757.55 ± 8.57
5001-100002111.803.83 ± 0.623.05 ± 0.2857.52 ± 9.73
F17.594 5.1958.034
P< 0.001< 0.001< 0.001
Daily working hours (h)< 84927.533.83 ± 0.543.08 ± 0.2657.86 ± 9.44
8-1012972.474.19 ± 0.833.14 ± 0.2955.59 ± 8.36
t7.919 1.6942.430
P0.005 0.1950.121
Employment statusFormal employee12167.983.85 ± 0.603.08 ± 0.2658.07 ± 8.72
Contract employee5732.024.61 ± 0.853.23 ± 0.2952.26 ± 7.30
t46.088 12.48819.031
P< 0.0010.001< 0.001
Mean4.09 ± 0.783.13 ± 0.2856.21 ± 8.70
Table 2 Correlations for study variables
Variables
Resilience
Life satisfaction
Depression
Resilience1
Life satisfaction0.855a1
Depression-0.829a-0.778a1
Table 3 Analysis of influencing factors of mental resilience, life satisfaction and depression
Factor
Variables
B
SE
Beta
t
P
ResilienceGender-5.8470.958-0.392-6.101< 0.001
Age-0.8610.131-0.857-6.551< 0.001
Daily working hours (h)-6.9471.617-0.443-4.296< 0.001
Employment status2.2971.1600.1891.9790.049
Life satisfactionAge-0.0920.011-0.831-8.132< 0.001
Daily working hours (h)-0.7480.176-0.432-4.246< 0.001
Gender-0.3370.104-0.204-3.2340.001
DepressionAge1.1670.1650.9377.061< 0.001
Daily working hours (h)9.2092.0330.4744.530< 0.001
Gender5.4851.2050.2964.553< 0.001
Employment status-3.4221.459-0.227-2.3460.02
Table 4 Regression analysis of the mediating effect of life satisfaction on resilience and depression
Outcome variable
Predictor variable
R
R2
F
β
t
P
DepressionResilience0.8290.687385.463-0.829-19.633< 0.001
Life satisfactionResilience0.8550.732480.1750.85521.913< 0.001
DepressionResilience0.8390.704208.553-0.608-7.656< 0.001
Life satisfaction-0.258-3.2570.001
Table 5 Mediating effect of life satisfaction on resilience and depression
Model pathways
Effect
Boot SE
95%CI
Relative mediation effect, %
Lower
Upper
Resilience-life satisfaction-depression-6.8531.920-10.546-3.12026.68%
Resilience-depression-18.8322.444-23.636-14.10473.32%
Total mediation effect-25.6852.515-23.794-14.007-