Research Article

Stress Reactivity Influences the Relationship between Emotional Labor Strategies and Job Burnouts among Chinese Hospital Nurses

Table 1

Means, standard deviations, and coefficients of correlations for the study variables ().

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1 Surface acting
2 Deep acting-0.100
3 Natural expressiona-0.4250.554
4 HCCb0.067-0.0010.036
5 Emotional exhaustion0.383-0.201-0.1940.035
6 Professional inefficacy0.002-0.363-0.246-0.0060.108
7 Depersonalization0.306-0.265-0.311-0.0460.6540.190
8 Personal burnout0.234-0.253-0.168-0.0720.6580.1750.472
9 Work-related burnout0.285-0.265-0.2590.0130.6990.2820.5660.858
10 Client-related burnout0.329-0.330-0.3330.0100.5670.2840.5620.6210.754
c2.593.133.443.23.593.002.6352.4546.6341.45
SDc0.650.630.740.8-48.71.451.221.3221.4020.7419.28

Notes: , , and . aNatural expression referred to expression of naturally felt emotions. bHCC was log-transformed for Pearson correlation analysis. cHCC was presented as median and range (pg/mg) because HCC has nonnormal distribution, and the other variables were presented as and SD where was mean and SD was standard deviation. Subscales, surface acting, deep acting, and expression of naturally felt emotions in emotional labor, and three subscales, emotional exhaustion, depersonalization, and professional inefficacy, in Maslach Burnout Inventory (MBI) were presented with average scores, but three subscales, personal burnout, work-related burnout, and client-related burnout, in Copenhagen Burnout Inventory (CBI) were presented with 25 times average scores each subscale to distinguish MBI and CBI throughout the text.