RESUMO
OBJECTIVE: To assess the influence of social support and self-efficacy on job burnout in sanitation workers. METHODS: A convenient sampling method was used to select 405 sanitation workers as study objects. The Maslach Burnout Inventory General Survey, Perceived Social Support Scale and General Self-Efficacy Scale were used to investigate the three dimensions of emotional exhaustion,cynicism and reduced personal accomplishment in job burnout, as well as the social support and self-efficacy. RESULTS: The cynicism was positively correlated with self-efficacy [partial correlation coefficient(r)=0.17, P<0.01]. Reduced personal accomplishment was negatively correlated with self-efficacy and social support respectively(r were-0.32 and-0.20, P<0.01). Hierarchical regression analysis indicated that the demographic variables can explain 30.4%, 29.9%, 22.0% of the three dimensions of sanitation workers′ emotional exhaustion, cynicism and reduced personal accomplishment respectively(P<0.01). After controlling for the demographic variables, self-efficacy could positively predict cynicism(P<0.01), the social support and self-efficacy could negatively predict reduced personal accomplishment(P<0.01). CONCLUSION: The institutional factor is the main reason affecting job burnout of sanitation workers. Cynicism is positively correlated with self-efficacy. Improving social support and self-efficacy can help alleviate the reduced personal accomplishment.
RESUMO
OBJECTIVE: To understand the current situation of psychological resilience of sanitation workers and its impact on their happiness. METHODS: A total of 277 sanitation workers from Dongguan City of Guangdong Province were enrolled as study participants by stratified random sampling method. The psychological resilience and happiness were measured by Connor-Davidson Resilience Scale and Campbell Index of Well-being Scale respectively. RESULTS: The median scores of psycological resilience and happiness of the study subjects were 49. 0 and 7. 8,respectively. Psycological resilience was positively correlated with happiness( P < 0. 01). The multivariate linear regression analysis showed that the types of work,education level,personal monthly income and daily working time were the influencing factors of sanitation workers 'psychological resilience( P < 0. 05). The types of work and psychological resilience can significantly predict happiness(P < 0. 05). After controlling the demographic variables such as age,type of work,education level,personal monthly income,and daily working time,the psychological resilience prediction happiness contribution rate increased by 34. 1%(P < 0. 01). Age has a regulating effect on psychological resilience and happiness. Psychological resilience is easier to predict in the second generation( born after 1978) of sanitation workers in the sense of happiness. CONCLUSION: Psycological resilience of sanitation workers affects their happiness. Enhancing psychological resilience can help improve the happiness of sanitation workers.