Death anxiety has been linked to several psychopathological conditions. However, the causes, comorbidity, and differential diagnosis of death anxiety is unexplored. This paper stands out by identifying common predictors of death anxiety and exploring the potential of death anxiety as a predictor for other psychological conditions. The paper reports the findings of four consecutive studies that involved a total of 2291 conveniently selected participants including 861 men and 1430 women. We focused on clarifying both the predictors of death anxiety and the psychopathological consequences emerging from it. Our findings established depression, anxiety, stress, fear of aging, and reduced life satisfaction as predictors of death anxiety. Psychosocial illness, sleep disturbances, aggression, and daily hassles were established as the adverse outcomes of death anxiety. Fear of aging was the most significant predictor of death anxiety and daily hassles emerged as the most significant adverse consequence of death anxiety.
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http://dx.doi.org/10.1177/00302228241272502 | DOI Listing |
Harm Reduct J
January 2025
Salvation Army Centre for Addiction Services and Research, University of Stirling, Stirling, Scotland.
Background: Scotland currently has amongst the highest rates of drug-related deaths in Europe, leading to increased advocacy for safer drug consumption facilities (SDCFs) to be piloted in the country. In response to concerns about drug-related harms in Edinburgh, elected officials have considered introducing SDCFs in the city. This paper presents key findings from a feasibility study commissioned by City of Edinburgh Council to support these deliberations.
View Article and Find Full Text PDFCMAJ
January 2025
Schools of Health and Wellbeing (Nakada, Pell, Ho), and Cardiovascular and Metabolic Health (Welsh, Celis-Morales), University of Glasgow, Glasgow, UK; Human Performance Laboratory, Education, Physical Activity and Health Research Unit (Celis-Morales), Universidad Católica del Maule, Talca, Chile; Centro de Investigación en Medicina de Altura (CEIMA) (Celis-Morales), Universidad Arturo Prat, Iquique, Chile.
Background: Anxiety and depression are associated with cardiovascular disease (CVD). We aimed to investigate whether adding measures of anxiety and depression to the American Heart Association Predicting Risk of Cardiovascular Disease Events (PREVENT) predictors improves the prediction of CVD risk.
Methods: We developed and internally validated risk prediction models using 60% and 40% of the cohort data from the UK Biobank, respectively.
J Am Med Dir Assoc
January 2025
Department of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, Guangdong, China. Electronic address:
Objectives: Multimorbidity poses significant challenges to the well-being of middle-aged and older adults, but its impact on end-of-life experiences remains relatively underexplored and inconsistent. This study aims to investigate the association between the number of chronic conditions and 6 end-of-life outcomes across 28 countries.
Design: Longitudinal analyses.
Can J Kidney Health Dis
January 2025
Division of Nephrology, Department of Medicine, University of Alberta Hospital, University of Alberta, Edmonton, Canada.
Purpose Of Program: Canada's growing prevalence of people with kidney failure receiving kidney replacement therapy has necessitated the expansion of dialysis programs. Although facility-based hemodialysis is the predominant dialysis modality in Canada, it is substantially costlier than home dialysis (peritoneal or home hemodialysis). Initiatives to increase the uptake of home dialysis typically consist of didactic and experiential education.
View Article and Find Full Text PDFObjective: To examine the association between mood disorders in pregnancy and postpartum and peripartum cardiomyopathy (PPCM).
Methods: Retrospective cohort study utilizing the National Inpatient Sample from the Healthcare Cost and Utilization Project, Agency for Healthcare Research and Quality of pregnant and postpartum patients from 2017-2019. Patients were separated into two groups based on ICD-10 coding for presence or absence of mood disorder (depression, bipolar depression, anxiety, or other mood diagnosis).
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