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).

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8837715PMC
http://dx.doi.org/10.1037/tra0001085DOI Listing

Publication Analysis

Top Keywords

latent profile
12
covid-19 stressors
12
stressors
9
profile analysis
8
stressors scale
8
profiles covid-19-related
8
covid-19-related stressors
8
disruption distress
8
covid-19
6
analysis covid-19
4

Similar Publications

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 PDF

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.

View Article and Find Full Text PDF

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 PDF

Symptoms among patients with breast cancer undergoing endocrine therapy: Application of latent profile analysis and network analysis.

Eur 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.

View Article and Find Full Text PDF

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 PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!