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      Influence of job satisfaction on SRH and happiness among Korean disabled workers: findings from the panel survey of employment for the disabled 2016–2018

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          Abstract

          Background

          An understanding of the economic life activities of persons with disabilities (PWD) is important. Their ability to perform tasks and an increase in their income are more likely to yield an improvement in their Self-Rated Health (SRH) and happiness. However, there is still a lack of understanding of the specific associations among PWD in South Korea. Thus, this study conducted a longitudinal analysis of the association between job satisfaction and SRH, happiness among the Korean PWD.

          Methods

          After excluding missing values, data on 1,637 participants at baseline (1st wave) were analyzed using the chi-square test, t-test, Analysis of Variance (ANOVA) and generalized estimating equation (GEE) model for data from 1st to 3rd Panel Survey of Employment for the Disabled (PSED). All analyses were conducted using the SAS statistical software package, version 9.4.

          Results

          Compared to very high job satisfaction group, low job satisfaction group was more likely to experience negative SRH [odds ratio (OR): 3.497, value of p: <0.0001] and experience low happiness ( B: −0.291, value of p: <0.0001). Furthermore, in terms of the overall satisfaction with current job among the PWD, compared to the ‘very satisfied’ group, ‘very unsatisfied’ group had higher negative SRH (OR: 5.158, value of p: 0.003) and lower happiness ( B: −0.327, value of p: <0.0001).

          Conclusion

          This study suggests that increasing job satisfaction of PWD possibly leads to decreased negative SRH and to increased happiness, resulting in better SRH and happiness. Furthermore, it suggests the establishment of systemic, policy-oriented measures to enhance the employment opportunities for disabled individuals in Korea and create an inclusive working environment that aligns with their respective job responsibilities.

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          Most cited references38

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          Akaike's information criterion in generalized estimating equations.

          W. Pan (2001)
          Correlated response data are common in biomedical studies. Regression analysis based on the generalized estimating equations (GEE) is an increasingly important method for such data. However, there seem to be few model-selection criteria available in GEE. The well-known Akaike Information Criterion (AIC) cannot be directly applied since AIC is based on maximum likelihood estimation while GEE is nonlikelihood based. We propose a modification to AIC, where the likelihood is replaced by the quasi-likelihood and a proper adjustment is made for the penalty term. Its performance is investigated through simulation studies. For illustration, the method is applied to a real data set.
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            Happy People Live Longer: Subjective Well-Being Contributes to Health and Longevity

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              Using Generalized Estimating Equations for Longitudinal Data Analysis

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                Author and article information

                Contributors
                Journal
                Front Public Health
                Front Public Health
                Front. Public Health
                Frontiers in Public Health
                Frontiers Media S.A.
                2296-2565
                15 September 2023
                2023
                : 11
                : 1122648
                Affiliations
                [1] 1Department of Psychology and Psychotherapy, Dankook University , Cheonan, Republic of Korea
                [2] 2Institute for Digital Life Convergence, Dankook University , Cheonan, Republic of Korea
                [3] 3Department of Public Health, General Graduate School of Dankook University , Cheonan, Republic of Korea
                [4] 4Department of Health Administration, College of Health Science, Dankook University , Cheonan, Republic of Korea
                Author notes

                Edited by: Jiaxi Peng, Chengdu University, China

                Reviewed by: Bimala Panthee, Patan Academy of Health Sciences, Nepal; Eduardo Ahumada-Tello, Universidad Autónoma de Baja California, Mexico; Virginia Barba-Sánchez, Universidad de Castilla-La Mancha, Spain

                *Correspondence: Jae-Hyun Kim, jaehyun@ 123456dankook.ac.kr

                These authors have contributed equally to this work

                Article
                10.3389/fpubh.2023.1122648
                10541949
                37786784
                fb630344-2c4b-41c3-9677-c0574dac4b1e
                Copyright © 2023 Lee, Yang and Kim.

                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
                : 18 December 2022
                : 31 August 2023
                Page count
                Figures: 1, Tables: 3, Equations: 0, References: 41, Pages: 9, Words: 6399
                Categories
                Public Health
                Original Research
                Custom metadata
                Public Mental Health

                job satisfaction,srh,happiness,persons with disability,south korea

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