Objective: Research from the early months of the SARS-Cov-2 (COVID-19) pandemic identifies many COVID-related stressors, including fears of infection, disruptions to work/learning and daily self-care routines, and lack of access to reliable information and resources. Measuring the complex, ongoing nature of the stressors related to COVID-19 is of great practical utility, as is investigating how people may differently respond to stressors. The objective of the present study was to identify the possible profiles of COVID-19-related stressors using a recently developed measure, the COVID-19 Stressors Scale.
Method: The present study sampled individuals from Amazon Mechanical Turk (MTurk; = 1,530) and examined the COVID-19 Stressors Scale with a latent profile analysis.
Results: Using a latent profile analysis, three profiles of COVID-19-related stressors were identified, Moderate Disruption Distress, High Disruption Distress, and Identity and Role Strain.
Conclusions: Based on the results of the study, the authors encourage researchers to differentiate types of stressors profiles of individual experiences COVID-19 or future pandemics. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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http://dx.doi.org/10.1037/tra0001085 | DOI Listing |
Eur J Pain
February 2025
Institute of Neuroscience, Université Catholique de Louvain, Brussels, Belgium.
Background: Complex regional pain syndrome (CRPS) is a debilitating condition characterised by significant heterogeneity. Early diagnosis is critical, but limited data exists on the condition's early stages. This study aimed to characterise (very) early CRPS patients and explore potential subgroups to enhance understanding of its mechanisms.
View Article and Find Full Text PDFInt J Equity Health
January 2025
JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
Background: South Asians living in urbanized settings are facing disproportionate cardiovascular burden largely attributable to modifiable risk factors. Given the rapid surge in South Asian population in Hong Kong, this study aims to identify and distinguish clusters of cardiovascular risk profiles among community-dwelling South Asian adults.
Methods: Between June 2022 and December 2023, 1181 South Asian adults were recruited through territory-wide outreach health assessments on lifestyle, psychological distress, obesity, clinical cardiovascular conditions, and sociodemographic factors.
Sci Rep
January 2025
NHC Key Lab of Hormones and Development and Tianjin Key Lab of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Institute of Endocrinology, Tianjin, 300134, China.
Chronic kidney disease (CKD) is a global health challenge associated with lifestyle factors such as diet, alcohol, BMI, smoking, sleep, and physical activity. Metabolomics, especially nuclear magnetic resonance(NMR), offers insights into metabolic profiles' role in diseases, but more research is needed on its connection to CKD and lifestyle factors. Therefore, we utilized the latest metabolomics data from the UK Biobank to explore the relationship between plasma metabolites and lifestyle factors, as well as to investigate the associations between various factors, including lifestyle-related metabolites, and the latent phase of CKD onset.
View Article and Find Full Text PDFEur J Oncol Nurs
January 2025
Division of Medical & Surgical Nursing, School of Nursing, Peking University, Beijing, China. Electronic address:
Purpose: To identify the subgroups and symptom networks associated with endocrine therapy in patients with breast cancer.
Methods: This study was a cross-sectional design using convenience sampling to select patients from a tertiary hospital in China. A total of 406 patients were invited to complete demographic and clinical questionnaires and the Chinese Breast Cancer Prevention Trial Symptom Scale was used to assess their symptoms.
PLoS Comput Biol
January 2025
Department of Biomedical Informatics, University of Colorado Anschutz School of Medicine, Aurora, Colorado, United States of America.
While single-cell experiments provide deep cellular resolution within a single sample, some single-cell experiments are inherently more challenging than bulk experiments due to dissociation difficulties, cost, or limited tissue availability. This creates a situation where we have deep cellular profiles of one sample or condition, and bulk profiles across multiple samples and conditions. To bridge this gap, we propose BuDDI (BUlk Deconvolution with Domain Invariance).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!