Objective: The effort–reward imbalance(ERI) model claims that work that has the characteristics of high effort and low reward has a mutual defect between input and output and this imbalance may result in sustained an...Objective: The effort–reward imbalance(ERI) model claims that work that has the characteristics of high effort and low reward has a mutual defect between input and output and this imbalance may result in sustained and long-lasting results. This study aimed to investigate the relationship between the intention to leave the profession(ILP) and ERI and job satisfaction among the medical staff in Qom Province.Methods: A descriptive-correlative study was conducted on 202 medical staff in Qom Province based on random sampling in 2018. Demographics checklist, standard ILP, job satisfaction, and Siegrist’s ERI questionnaires were used for data collection. The chisquared test, independent t-test, and one-way Analyses of Variance(ANOVA) were used to analyze data.Results: The mean age of employees was 32.04 ± 7.9 years, and 165(87.1%) of the employees were women. The results showed that the medical staff was willing to leave their profession at a moderate level(40.7 ± 10.3). There was no significant relationship between demographics and ILP. Nevertheless, a significant and inverse relationship was observed between ERI(r:0.318, P < 0.01) and ILP(r: 0.197, P < 0.01). Leave the profession(LP) had a negative correlation with the dimensions of job descriptive index(JDI) such as job, manager, coworker and wage score(P < 0.01, r:-0.147, r:-0.262, r:-0.292, r:-0.271, r:-0.396).Conclusions: According to the results, managers need to make sure that their working staff is rewarded as they deserve. According to the results, managers need to ensure that the reward factor is observed for the staff, while an ERI imbalance may contribute to ILP of the staff. On the other hand, it leads to job satisfaction.展开更多
Objective To investigate the co-effect of Demand-control-support （DCS） model and Effort-reward Imbalance （ERI） model on the risk estimation of depression in humans in comparison with the effects when they are used...Objective To investigate the co-effect of Demand-control-support （DCS） model and Effort-reward Imbalance （ERI） model on the risk estimation of depression in humans in comparison with the effects when they are used respectively. Methods A total of 3 632 males and 1 706 females from 13 factories and companies in Henan province were recruited in this cross-sectional study. Perceived job stress was evaluated with the Job Content Questionnaire and Effort-Reward Imbalance Questionnaire （Chinese version）. Depressive symptoms were assessed by using the Center for Epidemiological Studies Depression Scale （CES-D）. Results DC （demands/job control ratio） and ERI were shown to be independently associated with depressive symptoms. The outcome of low social support and overcommitment were similar. High DC and low social support （SS）, high ERI and high overcommitment, and high DC and high ERI posed greater risks of depressive symptoms than each of them did alone. ERI model and SS model seem to be effective in estimating the risk of depressive symptoms if they are used respectively. Conclusion The DC had better performance when it was used in combination with low SS. The effect on physical demands was better than on psychological demands. The combination of DCS and ERI models could improve the risk estimate of depressive symptoms in humans.展开更多
基金supported financially by Qom university of medical sciences
文摘Objective: The effort–reward imbalance(ERI) model claims that work that has the characteristics of high effort and low reward has a mutual defect between input and output and this imbalance may result in sustained and long-lasting results. This study aimed to investigate the relationship between the intention to leave the profession(ILP) and ERI and job satisfaction among the medical staff in Qom Province.Methods: A descriptive-correlative study was conducted on 202 medical staff in Qom Province based on random sampling in 2018. Demographics checklist, standard ILP, job satisfaction, and Siegrist’s ERI questionnaires were used for data collection. The chisquared test, independent t-test, and one-way Analyses of Variance(ANOVA) were used to analyze data.Results: The mean age of employees was 32.04 ± 7.9 years, and 165(87.1%) of the employees were women. The results showed that the medical staff was willing to leave their profession at a moderate level(40.7 ± 10.3). There was no significant relationship between demographics and ILP. Nevertheless, a significant and inverse relationship was observed between ERI(r:0.318, P < 0.01) and ILP(r: 0.197, P < 0.01). Leave the profession(LP) had a negative correlation with the dimensions of job descriptive index(JDI) such as job, manager, coworker and wage score(P < 0.01, r:-0.147, r:-0.262, r:-0.292, r:-0.271, r:-0.396).Conclusions: According to the results, managers need to make sure that their working staff is rewarded as they deserve. According to the results, managers need to ensure that the reward factor is observed for the staff, while an ERI imbalance may contribute to ILP of the staff. On the other hand, it leads to job satisfaction.
基金funded by Henan Provincial Health Science and Technology Key Projects(201001009)National Science and Technology Infrastructure Program(2006BAI06B 08),China
文摘Objective To investigate the co-effect of Demand-control-support （DCS） model and Effort-reward Imbalance （ERI） model on the risk estimation of depression in humans in comparison with the effects when they are used respectively. Methods A total of 3 632 males and 1 706 females from 13 factories and companies in Henan province were recruited in this cross-sectional study. Perceived job stress was evaluated with the Job Content Questionnaire and Effort-Reward Imbalance Questionnaire （Chinese version）. Depressive symptoms were assessed by using the Center for Epidemiological Studies Depression Scale （CES-D）. Results DC （demands/job control ratio） and ERI were shown to be independently associated with depressive symptoms. The outcome of low social support and overcommitment were similar. High DC and low social support （SS）, high ERI and high overcommitment, and high DC and high ERI posed greater risks of depressive symptoms than each of them did alone. ERI model and SS model seem to be effective in estimating the risk of depressive symptoms if they are used respectively. Conclusion The DC had better performance when it was used in combination with low SS. The effect on physical demands was better than on psychological demands. The combination of DCS and ERI models could improve the risk estimate of depressive symptoms in humans.
