Background: The organizational justice model can evaluate job stressor from decision-making process, attitude of managerial or senior staff toward their junior workers, and unfair resource distribution. Stress from organizational injustice could be harmful to workers' mental health. The purpose of this study is to explore the association between organizational justice and depressive symptoms in a securities company.
Methods: To estimate organizational justice, a translated Moorman's organizational justice evaluation questionnaire (Korean) was employed. Cronbach's α coefficient was estimated to assess the internal consistency of the translated questionnaire. To assess depressive symptoms, the Center for Epidemiologic Studies Depression (CES-D) scale was used. The link between the sub-concepts of the organizational justice model and depressive symptoms was assessed utilizing multiple logistic regression models.
Results: The risk of depressive symptoms was significantly higher among workers with higher levels of all subcategory of organizational injustice. In the full adjusted model odds ratio (OR) of higher level of procedural injustice 2.79 (95% confidence interval [CI], 1.58-4.90), OR of the higher level of relational injustice 4.25 (95% CI, 2.66-6.78), OR of higher level of distributional injustice 4.53 (95% CI, 2.63-7.83) respectively. Cronbach's α coefficient of the Korean version was 0.93 for procedural justice, 0.93 for relational justice, and 0.95 for distributive justice.
Conclusions: A higher level of organizational injustice was linked to higher prevalence of depressive symptoms among workers in a company of financial industry.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6751775 | PMC |
http://dx.doi.org/10.35371/aoem.2019.31.e7 | DOI Listing |
This study tested the possibility that the four facets of the Psychopathy Checklist-Revised/Screening Version (PCL-R/SV) serve as bipolar constructs in predicting future criminal justice outcomes. Organizing scores on the four facets (Interpersonal, Affective, Lifestyle, and Antisocial) into three categories-that is, lowest 25% of cases (best category), highest 25% of cases (worst category), and middle 50% of cases (intermediate category)-we tested bipolarity by crossing the three categories with a dichotomized crime/violence outcome and calculating both promotive (best category vs. worst + intermediate categories) and risk (worst category vs.
View Article and Find Full Text PDFIntegr Environ Assess Manag
January 2025
ToxStrategies LLC, Asheville, NC, United States.
Prompted by a series of executive orders, the U.S. Environmental Protection Agency (USEPA) is promoting cumulative impact assessment (CIA) to integrate numerous factors that have the potential to impact community health, which include nonchemical stressors such as socioeconomic conditions, pre-existing health conditions, and many others that historically have not been addressed by USEPA's chemical risk assessment paradigm.
View Article and Find Full Text PDFBMJ Open
January 2025
Centre for Health Services Studies, University of Kent, Canterbury, UK.
Background: Older adult care homes in England are required to develop care plans on behalf of each of their residents and to make these documents available to those who provide care. However, there is a lack of formal agreement around the key principles that should inform the development of care plans in care homes for older adults. Using a modified Delphi survey, we intend to generate consensus on a set of key principles that should inform the care planning process.
View Article and Find Full Text PDFBMJ Glob Health
January 2025
Faculty of Health Sciences, Simon Fraser University, Burnaby, Canada.
The poor management of public health risks associated with travel by most countries proved among the most contentious issue areas during the COVID-19 pandemic. Evidence from previous outbreaks suggested travel restrictions were largely unnecessary and counterproductive to timely reporting. This led to initial WHO recommendations against the use of travel restrictions.
View Article and Find Full Text PDFNurs Outlook
January 2025
The University of Utah, College of Social Work, Salt Lake City, UT.
Background: Mobile health interventions that utilize artificial intelligence may provide way for underserved populations to engage with healthcare.
Purpose: Examine the policy considerations that must be deliberated when developing, regulating, implementing, and sustaining mHealth apps among historically underserved individuals.
Methods: Reproductive Justice was used to investigate policy considerations for those with criminal legal system supervision who engage with mHealth apps.
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