Background: Carrying out dialysis at home brings non-medical factors, including social support, or caretaker relationship, and internal features relevant to personality into the forefront. In this study, we aimed to explore the relationship between coping strategies of patients undergoing continuous ambulatory peritoneal dialysis (CAPD) and health outcomes.
Methods: Our post-hoc analysis was based on one previous randomized controlled trial that enrolled 150 incident patients who started CAPD from December 2010 to June 2016. All patients were followed until withdrawal from PD or May 4, 2023. Medical Coping Modes Questionnaire (MCMQ) was examined, evaluating the dominant method of coping (avoidance, acceptance-resignation, or confrontation) demonstrated by patients, in addition to Social Support Rating Scale (SSRS) and Eysenck Personality Questionnaire (EPQ).
Results: Among the three mechanisms of coping, avoidance, at both the continuous and categorical variable levels, was significantly predictive of all-cause mortality. This relationship remained unchanged after adjustment for clinical covariates. Meanwhile, the high tertile of acceptance-resignation and other scores of confrontation independently predicted lower death risks after adjustment of the aforementioned variables. Avoidance and confrontation levels also independently predicted first-episode peritonitis. No associations between coping modes and transfer to hemodialysis were observed. Social support and personality were found to be confounders for the predictive effect of coping on all-cause mortality and first-episode peritonitis.
Conclusions: Coping models were independently related to all-cause mortality and first-episode peritonitis among CAPD patients, confounded by their associations with social support and personality. Our findings strengthen the need to integrate coping strategies into the practice of patient-centered care.
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http://dx.doi.org/10.1007/s40620-024-02090-8 | DOI Listing |
Medicine (Baltimore)
January 2025
Students Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Social media are Internet-based services that allow participation in online communities and exchanges. Considering the high and increasing statistics of the use of social media all over the world and its impact on people's lives, the present study aimed to determine the relationship between social media and nutritional attitudes and body image shame among Iranian female students. This cross-sectional study was performed on 201 female student of Tehran University of Medical Sciences in Tehran, Iran from May to December 2023.
View Article and Find Full Text PDFJCO Oncol Pract
January 2025
School of Nursing, Fudan University, Shanghai, China.
Purpose: To explore strategies related to cancer-related financial toxicity (FT) from the perspectives of cancer survivors and stakeholders in China and to evaluate their views within the context of the social ecological model (SEM).
Methods: Between March and July 2022, we conducted a descriptive qualitative study with semistructured interviews of 23 cancer survivors and 14 stakeholders. Qualitative content analysis on the basis of the SEM was used to analyze the data with NVivo 12.
J Med Internet Res
January 2025
Department of Social Sciences and Health Policy, Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, US.
Background: Most cancer survivors have multiple cardiovascular risk factors, increasing their risk of poor cardiovascular and cancer outcomes. The Automated Heart-Health Assessment (AH-HA) tool is a novel electronic health record clinical decision support tool based on the American Heart Association's Life's Simple 7 cardiovascular health (CVH) metrics to promote CVH assessment and discussion in outpatient oncology. Before proceeding to future implementation trials, it is critical to establish the acceptability of the tool among providers and survivors.
View Article and Find Full Text PDFAm J Health Promot
January 2025
College of Social Work, University of South Carolina, Columbia, SC, USA.
Purpose: Artificially Intelligent (AI) chatbots have the potential to produce information to support shared prostate cancer (PrCA) decision-making. Therefore, our purpose was to evaluate and compare the accuracy, completeness, readability, and credibility of responses from standard and advanced versions of popular chatbots: ChatGPT-3.5, ChatGPT-4.
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