{"title":"Factors Influencing Work-life Balance in Female Service Workers","authors":"조미경, 이현경","doi":"10.5807/KJOHN.2017.26.4.261","DOIUrl":null,"url":null,"abstract":"Purpose: The study aimed to identify factors influencing work-life balance in female service workers. Methods: A cross-sectional descriptive study was conducted with an online survey of 234 service workers using volunteer panels. Data were collected using a self-administered questionnaire from July 16 to 24, 2017. Major variables included work-life balance, resilience, emotional intelligence, job stress, and fatigue. Using the SPSS 24.0 program, descriptive statistics, t-test, ANOVA, correlation analysis, and multiple regression analysis were conducted. Results: The mean score of the work-life balance level of female service workers was 2.9±0.85 on a total score of 6. A multiple regression analysis revealed that smoking, resilience, job stress and fatigue were statistically significant factors in the model (p<.001), with an explanatory power of 50.3%. Emotional intelligence was not significantly associated with work-life balance. Conclusion: The level of work-life balance was considerably low in female service workers. This study suggests that nursing interventions to enhance work-life balance are required at both the individual and organizational levels.","PeriodicalId":76268,"journal":{"name":"Occupational health nursing","volume":"26 1","pages":"261-272"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Occupational health nursing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5807/KJOHN.2017.26.4.261","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Purpose: The study aimed to identify factors influencing work-life balance in female service workers. Methods: A cross-sectional descriptive study was conducted with an online survey of 234 service workers using volunteer panels. Data were collected using a self-administered questionnaire from July 16 to 24, 2017. Major variables included work-life balance, resilience, emotional intelligence, job stress, and fatigue. Using the SPSS 24.0 program, descriptive statistics, t-test, ANOVA, correlation analysis, and multiple regression analysis were conducted. Results: The mean score of the work-life balance level of female service workers was 2.9±0.85 on a total score of 6. A multiple regression analysis revealed that smoking, resilience, job stress and fatigue were statistically significant factors in the model (p<.001), with an explanatory power of 50.3%. Emotional intelligence was not significantly associated with work-life balance. Conclusion: The level of work-life balance was considerably low in female service workers. This study suggests that nursing interventions to enhance work-life balance are required at both the individual and organizational levels.