Emerging evidence suggests that the appraisal of pain and disability in terms of justice-related themes contributes to adverse pain outcomes. To date, however, research on the relation between perceived injustice and pain outcomes has focused primarily on individuals with musculoskeletal injuries. The primary aim of this study was to investigate the role of perceived injustice in the prediction of pain and disability after total knee arthroplasty (TKA). The study sample consisted of 116 individuals (71 women, 45 men) with osteoarthritis of the knee scheduled for TKA. Participants completed measures of pain severity, physical disability, perceptions of injustice, pain catastrophizing, and fear of movement before surgery, and measures of pain and disability 1 year after surgery. Prospective multivariate analyses revealed that perceived injustice contributed modest but significant unique variance to the prediction of postsurgical pain severity, beyond the variance accounted for by demographic variables, comorbid health conditions, presurgical pain severity, pain catastrophizing, and fear of movement. Pain catastrophizing contributed significant unique variance to the prediction of postsurgical disability. The current findings add to a growing body of evidence supporting the prognostic value of perceived injustice in the prediction of adverse pain outcomes. The results suggest that psychosocial interventions designed to target perceptions of injustice and pain catastrophizing before surgery might contribute to more positive recovery trajectories after TKA.
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http://dx.doi.org/10.1016/j.pain.2014.07.007 | DOI Listing |
JMIR Hum Factors
December 2024
Institute of History and Ethics in Medicine, TUM School of Medicine and Health, Technical University of Munich, Ismaningerstr. 22, Munich, 81675, Germany, 49 89 4140 4041.
Background: More clinical studies use social media to increase recruitment accrual. However, empirical analyses focusing on the ethical aspects pertinent when targeting patients with vulnerable characteristics are lacking.
Objective: This study aims to explore expert and patient perspectives on vulnerability in the context of social media recruitment and seeks to explore how social media can reduce or amplify vulnerabilities.
J Affect Disord
December 2024
School of Psychology, University College Dublin, Ireland.
Background: Long COVID, described as "the continuation or development of new symptoms 3 months after the initial SARS-CoV-2 infection", is estimated to affect at least 10-20 % of all cases of acute SARS-CoV-2 infection. Because of its novelty, information regarding the experience of Long COVID is still emerging.
Methods: This study examines psychological distress in two long COVID populations, and their experience of fatigue, cognitive failures, experiential avoidance, rumination, and perceived injustice.
Front Psychiatry
December 2024
Institute for Transcultural Health Science, Baden-Wuerttemberg Cooperative State University, Stuttgart, Germany.
Introduction: Perceived injustice is increasingly recognized as a key factor influencing mental health in war survivors. This cross-sectional study aimed to evaluate the psychometric properties of the Ukrainian translation of the Perceived Injustice Questionnaire (PIQ) among individuals directly exposed to the war in Ukraine.
Methods: 170 war-exposed Ukrainians completed the Ukrainian PIQ and measures of post-traumatic tress disorder (PCL-5), depression (PHQ-9), generalized anxiety disorder (GAD-7), and potentially traumatic life events (LEC-5).
Nurs Inq
January 2025
School of Nursing, University of Wisconsin-Madison, Madison, Wisconsin, USA.
The global climate crisis is an immediate threat, causing inequitable health impacts across different populations. Climate justice connects the causes and effects of climate change to structural injustices in society. Nurses and community-based organizations (CBOs) partner in promoting justice and health equity.
View Article and Find Full Text PDFJ Racial Ethn Health Disparities
December 2024
Department of Psychological and Brain Sciences, Texas A&M University, College Station, TX, USA.
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