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Background Occupational stress and depressive symptoms of disease prevention and control personnel are serious. Objective To investigate the relationship between occupational stress, psychological capital, and depressive symptoms of disease prevention and control personnel, and analyze the potential mediating effect of psychological capital on the relationship between occupational stress and depressive symptoms. Methods From July to September 2020, a cluster random sampling method was used to select 2201 employees from 21 centers for disease control and prevention as study subjects covering all levels of administrative divisions in Jiangsu Province. A total of 2036 valid questionnaires were collected with a recovery rate of 92.5%. The Core Occupational Stress Scale, Patient Health Questionnaire, and Psychological Capital Questionnaire were used to investigate their occupational stress, depressive symptoms, and psychological capital. Stratified regression analysis was used to explore the effects of occupational stress and psychological capital on depressive symptoms. A mediating effect model was used to analyze and verify the potential mediating effect of psychological capital on the relationship between occupational stress and depressive symptoms. Results The total scores in M (P25, P75) of occupational stress, depressive symptoms, and psychological capital in the target population were 42.0 (37.0, 48.0), 8.0 (4.0, 9.0), and 4.6 (4.0, 5.0) respectively. The positive rate of occupational stress was 31.0% (631/2036), and the positive rate of depressive symptoms was 22.0% (448/2036). The dimensional scores of organization and reward, and demand and effort of occupational stress were positively correlated with the total score of depressive symptoms [Spearman correlation coefficients (rs) were 0.371 and 0.269, P<0.05]. The dimensional scores of social support and autonomy of occupational stress and the score of psychological capital were negatively correlated with the total score of depressive symptoms (rs=−0.373, −0.112, −0.494, P<0.05). The organization and reward, and demand and effort had positive effects on depressive symptoms (b=0.188, 0.177, P<0.05), while social support and autonomy had negative effects on depressive symptoms (b=−0.290, −0.078, P<0.05), and associated with a 22.5% increase of explanatory variance. Psychological capital had a negative effect on depressive symptoms (b=−0.368, P<0.05), and associated with an 11.0% increase of explanatory variance. Psychological capital had mediating effects on the associations of social support, organization and reward, and autonomy with depressive symptoms, and the mediating effect values were −0.210 (95%CI: −0.253-−0.171), 0.096 (95%CI: 0.071-0.122), and −0.164 (95%CI: −0.229-−0.103), respectively. The corresponding mediating effect percentages were 40.23%, 26.97%, and 45.56%, respectively. Conclusion Occupational stress of disease prevention and control personnel can directly affect depressive symptoms, but also indirectly through psychological capital. Psychological capital plays a partial mediating role in the associations of social support, organization and reward, and autonomy of occupational stress with depressive symptoms. The occurrence of depressive symptoms can be reduced by decreasing occupational stress and increasing psychological capital.
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Pneumonia is the most common cause of pediatric acute respiratory distress syndrome.Pneumonia combined with pediatric acute respiratory distress syndrome due to different pathogens has certain characteristics, and clinicians should pay attention to individualized anti-infective, anti-inflammatory and respiratory support therapy in the diagnosis and treatment.
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Objective@#To undersand the monitor of occupational hazards in the enterprises in the past 5 years, as well as the distribution of occupational disease hazards and their dynamic changes in their respective jurisdictions, for providing scientific basis for prevention and control of occupational diseases in relevant departments.@*Methods@#Taking the method of cluster sampling, select the monitoring results of the occupational disease hazard factors commissioned by the Municipal Center for Disease Control and Prevention from 2014 to 2018 and the annual monitoring data of the network of the occupational hazard declaration system of the Safety Supervision Bureau, using chi-square test, trend Statistical analysis was performed by chi-square test or Fisher exact probability method.@*Results@#There were 461 testing companies in the past 5 years, with a total of 15, 186 monitoring points and 43428 samples. The pass rate was 94.32% (14324/15186) . The pass rate was increasing year by year from 2014 to 2017 (P<0.05) ; The pass rate of various occupational disease hazards surveillance were greater than 90% except the rate of physical factors. In 2014, the qualified rate of physical factors was the lowest, which was 86.99% (1558/1791) ; the production rate of different production scale enterprises in 2018 was higher than that of 2014. From 2014 to 2018, the number of inspection enterprises and the number of inspection points of the joint-stock economy and state-owned economic enterprises are both high, 58 (10091 points) and 71 (1830 points) respectively; The qualified rate of state-owned economy and collective economy monitoring is high, 98.36% (1800/1830) and 100% (74/74) respectively. It had reached more than 95%; The enterprises tested mainly from the economic development zone and Guangling, respectively accounting for 34.27% (158/461) and 33.84% (156/461) of the total number of enterprises. Which followed by the Hanjiang, accounting for 23.21% of the total number of enterprises (107/461) ; The monitoring enterprises were mainly distributed in the manufacturing and power industries, which accounted for 85.25% (393/461) and 6.07% (28/461) of the total number of enterprises, respectively.@*Conclusion@#The monitoring rate of enterprises had been increasing year by year from 2014 to 2018. Noise was the main disease prevention and controlling factor in the area.In addition, micro-enterprises, individual economy and foreign-invested economy were the key targets for occupational health.