Objective: The aim of this study was to investigate the relationship between the attentional coping styles (monitoring and blunting) of rheumatoid arthritis (RA) and osteoarthritis (OA) patients and: (a) receipt of medication information; (b) receipt of conflicting medication information; (c) ambiguity aversion; (d) medication-related discussions with doctors and spouse/partners; and (e) medication adherence.
Method: A sample of 328 adults with a self-reported diagnosis of arthritis (RA n=159; OA n=149) completed an Internet-based survey. Coping style was assessed using the validated short version of the Miller Behavioral Style Scale. Measures related to aspects of medication information receipt and discussion and validated measures of ambiguity aversion and medication adherence (Vasculitis Self-Management Survey) were collected. Pearson correlation coefficients, ANOVA, independent samples t-tests and multiple regression models were used to assess associations between coping style and the other variables of interest.
Results: Arthritis patients in our sample were more likely to be high monitors (50%) than high blunters (36%). Among RA patients, increased information-receipt was significantly associated with decreased monitoring (b = -1.06, p = .001). Among OA patients, increased information-receipt was significantly associated with increased blunting (b = .60, p = .02).
Conclusion: In our sample of patients with arthritis, attentional coping style is not in accordance with the characteristic patterns outlined in the acute and chronic disease coping literature.
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http://dx.doi.org/10.2174/1874312901610010060 | DOI Listing |
Heliyon
November 2024
Mental Health Education Center, Xidian University, Xi'an, China.
Premenstrual syndrome (PMS) encompasses a range of emotional, physiological, and behavioral symptoms that occur during the luteal phase of the menstrual cycle (MC) and resolve with the onset of menstruation. These symptoms, which can include fatigue, physical pain, anxiety, irritability, and depression, significantly affect women's daily lives and overall well-being. In severe cases, PMS can progress to premenstrual dysphoric disorder (PMDD), profoundly impairing quality of life.
View Article and Find Full Text PDFAnn Agric Environ Med
December 2024
Department of Orthodox Theology, The John Paul II Catholic University, Lublin, Poland.
Introduction And Objective: The subject of the article are the strategies used by nurses working in COVID-19 hospital units for coping with stress. The aim of the study was to make a comparative analysis between the styles, strategies and behaviours practiced by nurses working in COVID units and the nurses working in conservative treatment and surgical units.
Material And Methods: For the study we used the Polish adaptation of Ch.
Front Psychol
December 2024
Department of Clinical Psychology, Psychobiology and Methodology, Universidad de La Laguna, San Cristóbal de La Laguna, Spain.
Introduction: Stress is a major problem among students, threatening their health and well-being. The aim of the research is to analyze the sources of stress in students and to investigate whether there are gender differences and differences between university and non-university students in stress, coping styles, mental symptoms and well-being. A second aim is to know the relevance of age, education, stress, coping styles, self-esteem and social support on mental symptoms, psychological well-being and life satisfaction of boys and girls.
View Article and Find Full Text PDFJ Obstet Gynecol Neonatal Nurs
December 2024
Objective: To examine whether coping styles moderate the relationship between nursing stress and mental health in NICU nurses.
Design: Cross-sectional observational study.
Setting: Four Level 3 and 4 NICUs in New South Wales, Australia.
Support Care Cancer
December 2024
Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, 101402, China.
Purpose: Early and accurate identification of the risk of psychological distress allows for timely intervention and improved prognosis. Current methods for predicting psychological distress among lung cancer patients using readily available data are limited. This study aimed to develop a robust machine learning (ML) model for determining the risk of psychological distress among lung cancer patients.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!