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      Job Dissatisfaction Mediated the Associations Between Work Stress and Mental Health Problems

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          Abstract

          Objective: This study aimed to explore the relationships and the underlying mechanisms between work stress and mental health problems, and potential mediation effects through job dissatisfaction in a working population.

          Methods: A large population-based study among workers in China was conducted. The self-reported scales of assessing job dissatisfaction and work stress were included in the questionnaire. Generalized Anxiety Disorder-2 and Patient Health Questionnaire-2 were used for assessment of mental health. Univariate logistic regression was conducted to test the associations between work stress and mental health. Path analysis was conducted to test the proposed mediation model.

          Results: Of the 6,190 included employees, 27.72% reported that they perceived work stress, 14.84% of them reported that they were not satisfied with their work, 5.01% of the employees reported depressive symptoms, and 3.75% of the employees reported anxiety symptoms. The results of univariate logistic regression showed that employees who perceived work stress were more likely to report anxiety symptoms (adjusted odds ratio (AOR) = 2.78; 95% CI: 2.03–3.79) or depressive symptoms (AOR = 1.61; 95% CI: 1.22–2.12). The path analysis showed that work stress was positively associated with job dissatisfaction. Job dissatisfaction mediated the relationship between work stress and mental health problems among Chinese working adults.

          Conclusion: This study suggests the importance of psychosocial work environment for mental health among Chinese working adults. Work dissatisfaction is a stressor that may induce negative consequences on the mental health among Chinese workers. Interventions to help workers with stress management may be beneficial for their mental health.

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          Most cited references42

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          Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs

          Effect sizes are the most important outcome of empirical studies. Most articles on effect sizes highlight their importance to communicate the practical significance of results. For scientists themselves, effect sizes are most useful because they facilitate cumulative science. Effect sizes can be used to determine the sample size for follow-up studies, or examining effects across studies. This article aims to provide a practical primer on how to calculate and report effect sizes for t-tests and ANOVA's such that effect sizes can be used in a-priori power analyses and meta-analyses. Whereas many articles about effect sizes focus on between-subjects designs and address within-subjects designs only briefly, I provide a detailed overview of the similarities and differences between within- and between-subjects designs. I suggest that some research questions in experimental psychology examine inherently intra-individual effects, which makes effect sizes that incorporate the correlation between measures the best summary of the results. Finally, a supplementary spreadsheet is provided to make it as easy as possible for researchers to incorporate effect size calculations into their workflow.
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            Mediation in experimental and nonexperimental studies: new procedures and recommendations.

            Mediation is said to occur when a causal effect of some variable X on an outcome Y is explained by some intervening variable M. The authors recommend that with small to moderate samples, bootstrap methods (B. Efron & R. Tibshirani, 1993) be used to assess mediation. Bootstrap tests are powerful because they detect that the sampling distribution of the mediated effect is skewed away from 0. They argue that R. M. Baron and D. A. Kenny's (1986) recommendation of first testing the X --> Y association for statistical significance should not be a requirement when there is a priori belief that the effect size is small or suppression is a possibility. Empirical examples and computer setups for bootstrap analyses are provided.
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              Psychosocial work environment and mental health—a meta-analytic review

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                Author and article information

                Contributors
                Journal
                Front Psychiatry
                Front Psychiatry
                Front. Psychiatry
                Frontiers in Psychiatry
                Frontiers Media S.A.
                1664-0640
                16 September 2021
                2021
                : 12
                : 711263
                Affiliations
                [1] 1Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University , Changsha, China
                [2] 2Lixia Center for Disease Control and Prevention of Jinan , Jinan, China
                [3] 3Mental Health Institute, Second Xiangya Hospital, Central South University , Changsha, China
                Author notes

                Edited by: Charlotte R. Blease, Beth Israel Deaconess Medical Center and Harvard Medical School, United States

                Reviewed by: Claudia Roberta de Castro Moreno, University of São Paulo, Brazil; Kirsi Honkalampi, University of Eastern Finland, Finland; Yi-lang Tang, Emory University, United States

                *Correspondence: Shuiyuan Xiao xiaosy@ 123456csu.edu.cn

                This article was submitted to Public Mental Health, a section of the journal Frontiers in Psychiatry

                Article
                10.3389/fpsyt.2021.711263
                8483558
                34603101
                3758dde5-aef0-408f-9e16-bb6d38515828
                Copyright © 2021 Qiu, Li, Li, He, Ouyang, Luo and Xiao.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 25 May 2021
                : 02 August 2021
                Page count
                Figures: 1, Tables: 4, Equations: 0, References: 42, Pages: 8, Words: 6111
                Funding
                Funded by: Ministry of Science and Technology of the People's Republic of China, doi 10.13039/501100002855;
                Award ID: 2016YFC0900802
                Categories
                Psychiatry
                Original Research

                Clinical Psychology & Psychiatry
                work stress,job satisfaction,mental health,working adults,chinese
                Clinical Psychology & Psychiatry
                work stress, job satisfaction, mental health, working adults, chinese

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