Earticle

Purpose: This study aimed to determine the influence of injury and/or injured area classification on depression in patients with industrial injuries. Methods: The participants comprised438 patients who consented to participate and completed self-reported questionnaires. Data were analyzed using SPSS/WIN version 22.0 for descriptive statistics, x2 test, fisher's exact test, ANOVA, and post-hoc Scheffé test. A stepwise multiple regression analysis was used to identify factors influencing depression. Results: The results indicated that the effect of disease classification and injured areas on depression were significantly different in patients with industrial injuries. The results further showed that severe depression was significantly higher in cardiovascular patients and patients with an injured area of the head and waist. The most powerful predictor was age (50~59 years), return to work (reemployment), disease classification (cardiovascular), and injured area (head, including vascular disease). Conclusion: This study showed that the most influential variable of depression in patients with industrial injuries were cardiovascular issues, injury areas of the head and waist, being aged 50~59 years, and reemployment. To reduce depression in these patients, it is important to develop and implement a psychiatric rehabilitation program that helps patients to formulate a concrete plan and goal for recovery, enabling patients to actively engage in their rehabilitation.

Purpose: Cancer patients are at a higher risk of being unemployed or facing difficulty in returning to work (RTW) than individuals without health concerns. The aim of this study is to identify and describe interventions developed specifically to assist cancer patients to RTW after treatment. Methods: A comprehensive search was conducted from September to October 2018 in different international databases: PubMed, Medline, and Embase. Studies using qualitative, quantitative, or mixed designs were included if they satisfied the following criteria: (a) described an intervention to assist cancer patients to RTW during or after treatment; (b) conducted on patients aged 18 and over and diagnosed with cancer; (c) written in English; (d) published in peer-reviewed journals. Results: Fourteen studies met the inclusion criteria. Counseling with physical activity intervention, behavioral training to reduce fatigue, and multi-disciplinary rehabilitation programs were found to be effective. Conclusion: Interventions adopting a multidisciplinary approach were effective for RTW in cancer patients. This literature review emphasizes the need for more tailored interventions based on survivors’ needs and characteristics in the RTW field.

Purpose: This study aimed to investigate variables affecting health-related quality of life of manufacturing industry workers. Methods: We used data from 200 survey questionnaires collected from a vehicle manufacture factory located in Ulsan metropolitan area. The participants were manufacturing workers. The data were analyzed using t-test, one-way analysis of variance, and Scheffé’s test to identify differences among variables. Pearson’s correlation coefficient and stepwise multiple regression were used to identify variables that affected health-related quality of life. Results: The findings revealed that occupational stress and quality of sleep were statistically significant variables of the physical component score with an explanatory power of 42.2%. Occupational stress, depression, and religion were statistically significant variables of the mental component score with an explanatory power of 43.3%. Conclusion: Continuous monitoring and appropriate intervention for occupational stress, quality of sleep, and depression are needed to improve manufacturing workers’ health-related quality of life.

Purpose: This study aimed to investigate the factors affecting general hospital nurses’ intention to stay in their jobs. Methods: A descriptive research design was used with a convenience sample of 286 nurses. Data were collected from March 15 to April 14, 2017using self-reported questionnaires and analyzed by descriptive statistics, t-test, analysis of variance, Pearson’s correlation coefficient, and multiple regression analysis using the SPSS/WIN 21.0 program. Results: The mean scores for intention to stay, resilience, and emotional labor were 5.28 out of 8, 57.40 out of 100, and 3.23 out of 5, respectively. Intention to stay was positively correlated with overall career (r=.30), workplace (r=.18), shift work (r=-.20), position (r=.28), salary (r=.13), job satisfaction (r=.51), hospital satisfaction (r=.46), and resilience (r=.41). Factors influencing the intention to stay were job satisfaction and resilience, which explained 28% of the variance. Conclusion: Overall career, job satisfaction, and resilience are critical factors affecting general hospital nurses’ intention to stay. Based on the findings of this study, efforts to improve nurses’ job satisfaction and resilience should be implemented to mitigate the loss of this expert group among healthcare professionals.

Purpose: The aims of this study were to identify the effects of caring burden and the way of coping on burnout in caregivers of cancer patients. Methods: One-hundred and forty family caregivers of cancer patients who visited the cancer center at one tertiary hospital in metropolitan city B were included. The data collection was conducted from August 1st to October 1st, 2018, using a structured, self-reported questionnaire. The collected data were analyzed using descriptive statistics, t-test, one-way ANOVA, Pearson correlation coefficients, and multiple regression. Results: In the multiple regression analysis, the subject’s gender (β=.12, p=.028) and caring burden (β=.74, p<.001) had a significant effect on burnout. The explanatory power of the subject’s gender, education level, religion, caring time, number of family caregivers, monthly income, economic burden, expectation for treatment, caring burden, the way of aggressive coping, and the way of passive coping with burnout was 63.8% (F=23.28, p<.001). Conclusion: Reducing the caring burden in family caregivers of cancer patients will ultimately contribute to reducing burnout, thereby contributing to an improvement in the psychological well-being and quality of life of family members, as well as positively contributing to the recovery of patients.