Explanatory Model of Perceived Stress in the General Population: A Cross-Sectional Study in Peru During the COVID-19 Context

BackgroundThe COVID-19 pandemic had negatively impact mental health worldwide. High prevalence of stress had been previously reported in populations during this context. Many theoretical frameworks had been proposed for explaining the stress process, we aim to proposed and explanatory model for the...

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Main Authors: Alicia Boluarte-Carbajal, Alba Navarro-Flores, David Villarreal-Zegarra
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Psychology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyg.2021.673945/full
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spelling doaj-770b3c9360134ec48a4fd98d214eb5482021-06-24T05:52:11ZengFrontiers Media S.A.Frontiers in Psychology1664-10782021-06-011210.3389/fpsyg.2021.673945673945Explanatory Model of Perceived Stress in the General Population: A Cross-Sectional Study in Peru During the COVID-19 ContextAlicia Boluarte-Carbajal0Alba Navarro-Flores1Alba Navarro-Flores2David Villarreal-Zegarra3Facultad de Ciencias de la Salud, Universidad César Vallejo – Lima Norte, Lima, PeruInstituto Peruano de Orientación Psicológica, Lima, PeruFacultad de Medicina, Universidad Nacional Federico Villarreal, Lima, PeruInstituto Peruano de Orientación Psicológica, Lima, PeruBackgroundThe COVID-19 pandemic had negatively impact mental health worldwide. High prevalence of stress had been previously reported in populations during this context. Many theoretical frameworks had been proposed for explaining the stress process, we aim to proposed and explanatory model for the genesis of perceived stress in Peruvian general population.MethodWe conducted an online survey in Peruvian general population assessing sociodemographic variables and evaluating mental health conditions by using The Perceived Stress Scale (PSS-10), Positive Affect and Negative Affect Scale (PANAS), Generalized Anxiety Disorder scale (GAD-7), Patient Health Questionnaire (PHQ-9), and a numerical rating scale (NRS) for fear of COVID-19. Correlation analysis was conducted for the variables of interest. Two regression models were constructed to explore related factor to the dimensions of perceived stress. Finally, a structural regression model was performed with the independent variables.ResultsData of 210 individuals was analyzed. Ages ranged from 15 to 74 years and 39% were women. Additionally, 65.2% of the participants had at least one mental health conditions (depression, anxiety, or stress symptoms). Perceived self-efficacy and positive affect (PA) were correlated, as perceived helplessness with anxious symptoms and negative affect (NA). Regression analysis showed that sex, anxiety symptoms, and NA explained perceived helplessness while positive and NA explained self-efficacy. The structural regression model analysis identified that fear of COVID-19 (composed of fear of infecting others and fear of contagion), predicted mental health conditions (i.e., depressive or anxiety symptoms); also, mental health conditions were predicted by PA and NA. Perceived helplessness and Perceived self-efficacy were interrelated and represented the perceived stress variable.ConclusionWe proposed an explanatory model of perceived stress based on two correlated dimensions (self-efficacy and helplessness) in the Peruvian general population during the context of the COVID-19 pandemic, with two out of three individuals surveyed having at least one mental health condition.https://www.frontiersin.org/articles/10.3389/fpsyg.2021.673945/fullCOVID-19perceived stressgeneral populationPerustructural equation modeling
collection DOAJ
language English
format Article
sources DOAJ
author Alicia Boluarte-Carbajal
Alba Navarro-Flores
Alba Navarro-Flores
David Villarreal-Zegarra
spellingShingle Alicia Boluarte-Carbajal
Alba Navarro-Flores
Alba Navarro-Flores
David Villarreal-Zegarra
Explanatory Model of Perceived Stress in the General Population: A Cross-Sectional Study in Peru During the COVID-19 Context
Frontiers in Psychology
COVID-19
perceived stress
general population
Peru
structural equation modeling
author_facet Alicia Boluarte-Carbajal
Alba Navarro-Flores
Alba Navarro-Flores
David Villarreal-Zegarra
author_sort Alicia Boluarte-Carbajal
title Explanatory Model of Perceived Stress in the General Population: A Cross-Sectional Study in Peru During the COVID-19 Context
title_short Explanatory Model of Perceived Stress in the General Population: A Cross-Sectional Study in Peru During the COVID-19 Context
title_full Explanatory Model of Perceived Stress in the General Population: A Cross-Sectional Study in Peru During the COVID-19 Context
title_fullStr Explanatory Model of Perceived Stress in the General Population: A Cross-Sectional Study in Peru During the COVID-19 Context
title_full_unstemmed Explanatory Model of Perceived Stress in the General Population: A Cross-Sectional Study in Peru During the COVID-19 Context
title_sort explanatory model of perceived stress in the general population: a cross-sectional study in peru during the covid-19 context
publisher Frontiers Media S.A.
series Frontiers in Psychology
issn 1664-1078
publishDate 2021-06-01
description BackgroundThe COVID-19 pandemic had negatively impact mental health worldwide. High prevalence of stress had been previously reported in populations during this context. Many theoretical frameworks had been proposed for explaining the stress process, we aim to proposed and explanatory model for the genesis of perceived stress in Peruvian general population.MethodWe conducted an online survey in Peruvian general population assessing sociodemographic variables and evaluating mental health conditions by using The Perceived Stress Scale (PSS-10), Positive Affect and Negative Affect Scale (PANAS), Generalized Anxiety Disorder scale (GAD-7), Patient Health Questionnaire (PHQ-9), and a numerical rating scale (NRS) for fear of COVID-19. Correlation analysis was conducted for the variables of interest. Two regression models were constructed to explore related factor to the dimensions of perceived stress. Finally, a structural regression model was performed with the independent variables.ResultsData of 210 individuals was analyzed. Ages ranged from 15 to 74 years and 39% were women. Additionally, 65.2% of the participants had at least one mental health conditions (depression, anxiety, or stress symptoms). Perceived self-efficacy and positive affect (PA) were correlated, as perceived helplessness with anxious symptoms and negative affect (NA). Regression analysis showed that sex, anxiety symptoms, and NA explained perceived helplessness while positive and NA explained self-efficacy. The structural regression model analysis identified that fear of COVID-19 (composed of fear of infecting others and fear of contagion), predicted mental health conditions (i.e., depressive or anxiety symptoms); also, mental health conditions were predicted by PA and NA. Perceived helplessness and Perceived self-efficacy were interrelated and represented the perceived stress variable.ConclusionWe proposed an explanatory model of perceived stress based on two correlated dimensions (self-efficacy and helplessness) in the Peruvian general population during the context of the COVID-19 pandemic, with two out of three individuals surveyed having at least one mental health condition.
topic COVID-19
perceived stress
general population
Peru
structural equation modeling
url https://www.frontiersin.org/articles/10.3389/fpsyg.2021.673945/full
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