ABSTRACT
BACKGROUND: This study aimed to assess the factorial validity and reliability of the Pandemic Stressor Scale (PaSS), a new measure to assess the severity of distress for different stressors relevant during a pandemic or epidemic. METHODS: The PaSS was administered in N = 2760 German participants. Exploratory factor analysis was used to extract factors. The factor structure obtained in the German sample was examined in N = 1021 Austrian participants using confirmatory factor analysis. χ2, RMSEA, SRMR, CFI, TLI were assessed as global goodness of fit indices for two models (Model 1: nine-factor model; Model 2: nine-factor model combined with a second-order general factor). We additionally assessed factor loadings, communalities, factor reliability, discriminant validity as local fit indices. Internal consistency, item discrimination, and item difficulty were assessed as additional test quality criteria. RESULTS: The results of the exploratory factor analysis suggested a nine-factor solution with factor loadings accounting for 50.4% of the total variance (Factor 1 'Problems with Childcare', Factor 2 'Work-related Problems', Factor 3 'Restricted Face-to-Face Contact', Factor 4 'Burden of Infection ', Factor 5 'Crisis Management and Communication', Factor 6 'Difficult Housing Condition', Factor 7 'Fear of Infection', Factor 8 'Restricted Access to Resources', Factor 9 'Restricted Activity'). The confirmatory factor analysis showed a sufficient global fit for both tested models (Model 1: χ2 (369, N = 1021) = 1443.28, p < .001, RMSEA = .053, SRMR = .055, CFI = .919, TLI = .904; Model 2: χ2 (396, N = 1021) = 1948.51, p < .001, RMSEA = .062, SRMR = .074, CFI = .883, TLI = .871). The results of the chi-square difference test indicated a significantly better model-fit of Model 1 compared to Model 2 (∆χ2 (27, N = 1021) = 505.23, p < .001). Local goodness of fit indices were comparable for both tested models. We found good factor reliabilities for all factors and moderate to large factor loadings of the items as indicators. In Model 2, four first-order factors showed small factor loadings on the second-order general factor. CONCLUSION: The Pandemic Stressor Scale showed sufficient factorial validity for the nine measured domains of stressors during the current COVID-19 pandemic.
Subject(s)
COVID-19 , Pandemics , COVID-19/epidemiology , Factor Analysis, Statistical , Humans , Psychometrics , Reproducibility of Results , Surveys and QuestionnairesABSTRACT
Background The COVID-19 pandemic exposes individuals to multiple stressors, such as quarantine, physical distancing, job loss, risk of infection, and loss of loved ones. Such a complex array of stressors potentially lead to symptoms of adjustment disorder. Objective This cross-sectional exploratory study examined relationships between risk and protective factors, stressors, and symptoms of adjustment disorder during the first year of the COVID-19 pandemic. Methods Data from the first wave of the European Society of Traumatic Stress Studies (ESTSS) longitudinal ADJUST Study were used. N = 15,563 participants aged 18 years and above were recruited in eleven countries (Austria, Croatia, Georgia, Germany, Greece, Italy, Lithuania, the Netherlands, Poland, Portugal, and Sweden) from June to November 2020. Associations between risk and protective factors (e.g. gender, diagnosis of a mental health disorder), stressors (e.g. fear of infection, restricted face-to-face contact), and symptoms of adjustment disorder (ADNM-8) were examined using multivariate linear regression. Results The prevalence of self-reported probable adjustment disorder was 18.2%. Risk factors associated with higher levels of symptoms of adjustment disorder were female gender, older age, being at risk for severe COVID-19 illness, poorer general health status, current or previous trauma exposure, a current or previous mental health disorder, and longer exposure to COVID-19 news. Protective factors related to lower levels of symptoms of adjustment disorder were higher income, being retired, and having more face-to-face contact with loved ones or friends. Pandemic-related stressors associated with higher levels of symptoms of adjustment disorder included fear of infection, governmental crisis management, restricted social contact, work-related problems, restricted activity, and difficult housing conditions. Conclusions We identified stressors, risk, and protective factors that may help identify individuals at higher risk for adjustment disorder. HIGHLIGHTS We examined symptoms of adjustment disorder in 15,563 adults during the COVID-19 pandemic. The prevalence of probable adjustment disorder was 18.2%. We identified stressors, risk, and protective factors that may help identify individuals at higher risk for adjustment disorder.
ABSTRACT
Background: The COVID-19 pandemic exposes individuals to multiple stressors, such as quarantine, physical distancing, job loss, risk of infection, and loss of loved ones. Such a complex array of stressors potentially lead to symptoms of adjustment disorder. Objective: This cross-sectional exploratory study examined relationships between risk and protective factors, stressors, and symptoms of adjustment disorder during the first year of the COVID-19 pandemic. Methods: Data from the first wave of the European Society of Traumatic Stress Studies (ESTSS) longitudinal ADJUST Study were used. N = 15,563 participants aged 18 years and above were recruited in eleven countries (Austria, Croatia, Georgia, Germany, Greece, Italy, Lithuania, the Netherlands, Poland, Portugal, and Sweden) from June to November 2020. Associations between risk and protective factors (e.g. gender, diagnosis of a mental health disorder), stressors (e.g. fear of infection, restricted face-to-face contact), and symptoms of adjustment disorder (ADNM-8) were examined using multivariate linear regression. Results: The prevalence of self-reported probable adjustment disorder was 18.2%. Risk factors associated with higher levels of symptoms of adjustment disorder were female gender, older age, being at risk for severe COVID-19 illness, poorer general health status, current or previous trauma exposure, a current or previous mental health disorder, and longer exposure to COVID-19 news. Protective factors related to lower levels of symptoms of adjustment disorder were higher income, being retired, and having more face-to-face contact with loved ones or friends. Pandemic-related stressors associated with higher levels of symptoms of adjustment disorder included fear of infection, governmental crisis management, restricted social contact, work-related problems, restricted activity, and difficult housing conditions. Conclusions: We identified stressors, risk, and protective factors that may help identify individuals at higher risk for adjustment disorder.
Antecedentes: La pandemia de COVID-19 expone a las personas a múltiples factores estresantes, como la cuarentena, el distanciamiento físico, la pérdida del trabajo, el riesgo de infección, y la pérdida de seres queridos. Esta compleja serie de factores estresantes puede potencialmente conducir a síntomas del trastorno de adaptación.Objetivo: Este estudio exploratorio transversal examinó las relaciones entre los factores de riesgo y de protección, los factores estresantes, y los síntomas del trastorno de adaptación durante el primer año de la pandemia de COVID-19.Métodos: Se utilizaron datos de la primera ola del estudio longitudinal ADJUST de la Sociedad Europea de Estudios de Estrés Traumático (ESTSS en su sigla en inglés). N = 15.563 participantes de 18 años o más fueron reclutados en once países (Austria, Croacia, Georgia, Alemania, Grecia, Italia, Lituania, Países Bajos, Polonia, Portugal, y Suecia) de junio a noviembre de 2020. Se examinaron mediante regresión lineal multivariante las asociaciones entre los factores de riesgo y de protección (p. ej., género, diagnóstico de un trastorno de salud mental), factores estresantes (p. ej., miedo a la infección, contacto restringido cara a cara), y síntomas del trastorno de adaptación (ADNM-8 en su sigla en inglés).Resultados: La prevalencia del trastorno de adaptación probable autoinformado fue del 18,2%. Los factores de riesgo asociados con niveles más altos de síntomas del trastorno de adaptación fueron género femenino, edad avanzada, riesgo de enfermedad grave por COVID-19, peor estado de salud general, exposición a un trauma actual o anterior, un trastorno de salud mental actual o anterior, y una exposición más prolongada a las noticias de COVID-19. Los factores de protección relacionados con niveles más bajos de síntomas del trastorno de adaptación fueron mayores ingresos, estar jubilado, y tener más contacto cara a cara con sus seres queridos o amigos. Los factores estresantes relacionados con la pandemia que se asociaron con niveles más altos de síntomas del trastorno de adaptación incluyeron miedo a la infección, manejo gubernamental de crisis, contacto social restringido, problemas relacionados con el trabajo, actividad restringida, y condiciones de vivienda difíciles.Conclusiones: Identificamos factores estresantes, de riesgo, y protectores que pueden ayudar a identificar a las personas con mayor riesgo de trastorno de adaptación.