Fear of COVID-19 scale: validation in Spanish in the Mexican general population.

Gac Med Mex

Clinical Epidemiology Research Unit. High Specialty Medical Unit, Specialty Hospital, Centro Médico Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City, Mexico.

Published: February 2022

Introduction: The fear of COVID-19 scale (FCV-19S) is used to screen for symptoms of anxiety and depression related to COVID-19 in the general population; it consists of seven questions with Likert-type answers (1-5). Our objective was to validate FCV-19S Spanish version in the Mexican general population.

Material And Methods: Analytical, cross-sectional design. Three-hundred and six subjects from the general population were included during 2020 after having signed informed consent. Barlett and Kaiser-Meyer-Olkin (KMO) sphericity tests were applied. Reliability was calculated with Cronbach's alpha, and external validity, using the Hospital Anxiety and Depression Scale and Pearson's correlation coefficient for retest.

Results: The general population sample included 306 participants; 64.4 % were women (n = 197), mean age was 32 years (18-68). We obtained a KMO = 0.848, internal consistency with Cronbach's alpha = 0.870 (95% CI: 0.848-0.891), a rho coefficient of 0.508 (p < 0.001) and external validity of 0.151 (p = 0.008). Confirmatory analysis showed: χ = 22.802 (df = 13) with CMIN-DF = 1.900 (p ≤ 0.001), GFI = 0.972, CFI = 0.901, RMSEA = 0.062 (90% CI: 0.019-0.100) and TLI = 0.827.

Conclusions: According to our findings, the scale shows adequate psychometric properties: reliability, internal consistency, correlation with subsequent measurements and convergence validity, for initial screening of the Mexican general population.

Download full-text PDF

Source
http://dx.doi.org/10.24875/GMM.M21000618DOI Listing

Publication Analysis

Top Keywords

general population
20
mexican general
12
fear covid-19
8
covid-19 scale
8
anxiety depression
8
cronbach's alpha
8
external validity
8
internal consistency
8
general
6
population
5

Similar Publications

Background: A significant overlap in the pathophysiological features of polycystic ovary syndrome (PCOS) and type 2 diabetes mellitus (T2DM) has been reported; and insulin resistance is considered a central driver in both. The expression and hepatic clearance of insulin and subsequent glucose homeostasis are mediated by TCF7L2 via Wnt signaling. Studies have persistently associated TCF7L2 genetic variations with T2DM, however, its results on PCOS are sparse and inconsistent.

View Article and Find Full Text PDF

Whole-genome sequencing identifies novel loci for keratoconus and facilitates risk stratification in a Han Chinese population.

Eye Vis (Lond)

January 2025

National Engineering Research Center of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China.

Background: Keratoconus (KC) is a prevalent corneal condition with a modest genetic basis. Recent studies have reported significant genetic associations in multi-ethnic cohorts. However, the situation in the Chinese population remains unknown.

View Article and Find Full Text PDF

Background: Triglyceride glucose index(TyG) and a body shape index(ABSI) are both independent predictor of stroke incidence or adverse prognosis but these two indicators seldom were combined to predict. The purpose of this study is to evaluate whether the combination of TyG and ABSI better predict the incidence of stroke.

Methods: Based on the China Health and Retirement Longitudinal Study(CHARLS), 8,257 people aged 45 years and older without stroke were enrolled and followed up to 9 years.

View Article and Find Full Text PDF

Background: Research has demonstrated that individuals with sarcopenia or sarcopenic obesity who experience fractures or undergo major surgical interventions exhibit a poorer prognosis compared to the general population. However, few studies have investigated the relationship between the skeletal muscle and adipose tissue indices, as measured at the 12th thoracic spine level, and adverse outcomes following orthopedic surgery. Therefore, this study aimed to prove whether skeletal muscle and adipose tissue index measured by computed tomography (CT) images based on a single layer are associated with one-year postoperative mortality in elderly hip fracture patients.

View Article and Find Full Text PDF

Background: Machine learning (ML) is increasingly used to predict clinical deterioration in intensive care unit (ICU) patients through scoring systems. Although promising, such algorithms often overfit their training cohort and perform worse at new hospitals. Thus, external validation is a critical - but frequently overlooked - step to establish the reliability of predicted risk scores to translate them into clinical practice.

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!