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      The effect of sleep disturbance on the association between work–family conflict and burnout in nurses: a cross-sectional study from South Korea

      research-article
      1 , 2 ,
      BMC Nursing
      BioMed Central
      Burnout, Family conflict, Nurses, Sleep disorder, Work

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          Abstract

          Background

          Sleep disturbances can lead to work–family conflicts and affect the mental health of nurses. This study aimed to investigate the mediating effect of sleep disturbance on the association between work–family conflict (WFC) and burnout in nurses.

          Methods

          Responses to a questionnaire from 156 nurses working in a hospital in South Korea were analyzed. Multiple linear regression analysis and PROCESS Macro Model 4 were used to analyze the mediating effect of sleep disturbance on the relationship between WFC and burnout. A bootstrapping approach was used to test the statistical significance of the indirect parameter effects.

          Results

          The WFC of nurses had a positive correlation with sleep disturbance and burnout. Moreover, sleep disturbance completely mediated the association between WFC and burnout.

          Conclusions

          Nursing administrators should pay careful attention to WFCs that interfere with nurses’ sleep and reduce their sleep quality, and design suitable working schedules that minimize the effects of WFC. In addition, hospital administrators should improve shift scheduling to ensure good sleep quality and reduce the health effects of WFC among nurses.

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          Most cited references35

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          Factors Associated With Mental Health Outcomes Among Health Care Workers Exposed to Coronavirus Disease 2019

          Key Points Question What factors are associated with mental health outcomes among health care workers in China who are treating patients with coronavirus disease 2019 (COVID-19)? Findings In this cross-sectional study of 1257 health care workers in 34 hospitals equipped with fever clinics or wards for patients with COVID-19 in multiple regions of China, a considerable proportion of health care workers reported experiencing symptoms of depression, anxiety, insomnia, and distress, especially women, nurses, those in Wuhan, and front-line health care workers directly engaged in diagnosing, treating, or providing nursing care to patients with suspected or confirmed COVID-19. Meaning These findings suggest that, among Chinese health care workers exposed to COVID-19, women, nurses, those in Wuhan, and front-line health care workers have a high risk of developing unfavorable mental health outcomes and may need psychological support or interventions.
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            Regression-based statistical mediation and moderation analysis in clinical research: Observations, recommendations, and implementation.

            There have been numerous treatments in the clinical research literature about various design, analysis, and interpretation considerations when testing hypotheses about mechanisms and contingencies of effects, popularly known as mediation and moderation analysis. In this paper we address the practice of mediation and moderation analysis using linear regression in the pages of Behaviour Research and Therapy and offer some observations and recommendations, debunk some popular myths, describe some new advances, and provide an example of mediation, moderation, and their integration as conditional process analysis using the PROCESS macro for SPSS and SAS. Our goal is to nudge clinical researchers away from historically significant but increasingly old school approaches toward modifications, revisions, and extensions that characterize more modern thinking about the analysis of the mechanisms and contingencies of effects.
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              Sources of Conflict between Work and Family Roles

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                Author and article information

                Contributors
                sungjungee@gmail.com
                Journal
                BMC Nurs
                BMC Nurs
                BMC Nursing
                BioMed Central (London )
                1472-6955
                12 December 2022
                12 December 2022
                2022
                : 21
                : 354
                Affiliations
                [1 ]GRID grid.411143.2, ISNI 0000 0000 8674 9741, College of Nursing, , Konyang University, ; Daejeon, Republic of Korea
                [2 ]GRID grid.411127.0, ISNI 0000 0004 0618 6707, Robotic Surgery Center, , Konyang University Hospital, ; 158 Gwanjeodong-ro, Seo-gu, Daejeon, 35365 Republic of Korea
                Article
                1114
                10.1186/s12912-022-01114-7
                9742643
                36510296
                8916c3b3-355b-4c48-9379-69250e0600d5
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 12 May 2022
                : 18 November 2022
                Categories
                Research
                Custom metadata
                © The Author(s) 2022

                Nursing
                burnout,family conflict,nurses,sleep disorder,work
                Nursing
                burnout, family conflict, nurses, sleep disorder, work

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