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This study examined both the mediating and moderating effects of global self-esteem on the relationship between social support and subjective well-being among Chinese university students. Three hundred and ninety-one university students (260 males and 131 females) from two different Chinese universities completed the social support scale, the self-esteem scale and the subjective well-being scale. Hierarchical regression analysis showed that global self-esteem partially mediated the influence of social support on life satisfaction and positive affect, whereas it fully mediated the influence of social support on negative affect. Moreover, global self-esteem moderated the relationship between social support and life satisfaction, and positive affect, but not negative affect. When students reported a high level of global self-esteem, those with high social support reported higher scores in life satisfaction and positive affect than those with low social support. However, there were no differences in life satisfaction or positive affect between groups with high and low social support when global self-esteem was low. The significance and limitations of the results are discussed.

This study examined both the mediation effects of loneliness and self-esteem for the relationship between social support and life satisfaction. Three hundred and eighty nine Chinese college students, ranging in age from 17 to 25 (M = 20.39), completed the emotional and social loneliness scale, the self-esteem scale, the satisfaction with life scale and measure of social support. Structural equation modeling showed full mediation effects of loneliness and self-esteem between social support and life satisfaction. The final model also revealed a significant path from social support through loneliness and self-esteem to life satisfaction. Furthermore, a multi-group analysis found that the paths did not differ across sexes. The findings provided the external validity for the full mediation effects of loneliness and self-esteem and valuable evidence for more complicated relations among the variables.