ABSTRACT
Background: The COVID-19 pandemic is a health emergency resulting in multiple stressors that may be related to posttraumatic stress disorder (PTSD). Objective: This study examined relationships between risk and protective factors, pandemic-related stressors, and PTSD during the COVID-19 pandemic. Methods: Data from the European Society of Traumatic Stress Studies (ESTSS) ADJUST Study were used. N = 4,607 trauma-exposed participants aged 18 years and above were recruited from the general populations of eleven countries (Austria, Croatia, Georgia, Germany, Greece, Italy, Lithuania, the Netherlands, Poland, Portugal, and Sweden) from June to November 2020. We assessed sociodemographic (e.g. gender), pandemic-related (e.g. news consumption), and health-related (e.g. general health condition) risk and protective factors, pandemic-related stressors (e.g. fear of infection), and probable PTSD (PC-PTSD-5). The relationships between these variables were examined using logistic regression on multiple imputed data sets. Results: The prevalence of probable PTSD was 17.7%. Factors associated with an increased risk for PTSD were younger age, female gender, more than 3 h of daily pandemic-related news consumption (vs. no consumption), a satisfactory, poor, or very poor health condition (vs. a very good condition), a current or previous diagnosis of a mental disorder, and trauma exposure during the COVID-19 pandemic. Factors associated with a reduced risk for PTSD included a medium and high income (vs. very low income), face-to-face contact less than once a week or 3-7 times a week (vs. no contact), and digital social contact less than once a week or 1-7 days a week (vs. no contact). Pandemic-related stressors associated with an increased risk for PTSD included governmental crisis management and communication, restricted resources, restricted social contact, and difficult housing conditions. Conclusion: We identified risk and protective factors as well as stressors that may help identify trauma-exposed individuals at risk for PTSD, enabling more efficient and rapid access to care. (PsycInfo Database Record (c) 2023 APA, all rights reserved) (Spanish) Antecedentes: La pandemia COVID-19 es una emergencia sanitaria que genera multiples estresores que pueden estar relacionados con el trastorno de estres postraumatico (TEPT). Objetivo: Este estudio examino las relaciones entre los factores de riesgo y protectores, estresores relacionados con la pandemia y TEPT durante la pandemia de COVID-19. Metodos: Se utilizaron los datos del estudio ADJUST de la Sociedad Europea de Estudios de Estres Traumatico (ESTSS por sus siglas en ingles). N = 4.607 participantes mayores de 18 anos expuestos a trauma fueron reclutados de la poblacion general de once paises (Austria, Croacia, Georgia, Alemania, Grecia, Italia, Lituania, Paises Bajos, Polonia, Portugal y Suecia) desde junio a noviembre 2020. Evaluamos factores de riesgo y protectores sociodemograficos (p.ej. genero), relacionados con la pandemia (p.ej. consumo de noticias) y relacionados con la salud (p.ej. estado de salud general), estresores relacionados con la pandemia (p.ej. temor a la infeccion) y TEPT probable (PC-PTSD-5 por sus siglas en ingles). Las relaciones entre estas variables se examinaron mediante regresion logistica en multiples conjuntos de datos imputados. Resultados: La prevalencia de TEPT probable fue del 17.7%. Los factores asociados con un mayor riesgo de TEPT fueron edad mas joven, sexo femenino, mas de 3 horas de consumo diario de noticias relacionadas con la pandemia (frente a ningun consumo), un estado de salud satisfactorio, malo o muy malo (frente a un estado muy bueno), un diagnostico de trastorno mental actual o previo y exposicion a un trauma durante la pandemia de COVID-19. Los factores asociados con un riesgo reducido de TEPT incluyeron ingresos medios y altos (frente a ingresos muy bajos), contacto cara a cara menos de una vez a la semana o de 3 a 7 veces por semana (frente a ningun contacto) y contacto social digital menos de una vez a la semana o de 1 a 7 dias a la semana (frente a ningun contacto). Los estresores relacionados con la pandemia asociados con un mayor riesgo de TEPT incluyeron la gestion y comunicacion de crisis gubernamental, recursos restringidos, contacto social restringido y condiciones de vivienda dificiles. Conclusiones: Identificamos factores de riesgo y protectores, asi como estresores que pueden ayudar a identificar a las personas expuestas a traumas en riesgo de TEPT, lo que permite un acceso mas eficiente y rapido a la atencion. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
ABSTRACT
Background: The Covid-19 pandemic is associated with adverse mental health outcomes for people worldwide. Objective: The study aimed to assess mental health during the Covid-19 pandemic and the key risk factors from the human ecology perspective in Croatia's adult population. Method: An online panel survey with 1,201 adult participants (50.1% women) was done with a nationally representative sample in terms of gender, age, and country region four months after the nation lockdown began and two months after most of the restrictions were lifted. Indicators of mental health included symptoms of adjustment disorder (ADNM-8);depression, anxiety, and stress (DASS-21);symptoms of post-traumatic stress disorder (PC-PTSD-5);and well-being (WHO-5). Results: In the entire sample, 9.8% (95% confidence interval [CI]: 7.9%, 14.0%) of the participants were at risk of adjustment disorder, 7.7% (95% CI: 6.7%, 11.9%) were at risk of depression disorder, and 7.8% (95% CI: 5.3%, 10.3%) were at risk of anxiety disorder. In addition, 7.2% (95% CI: 5.3%, 10.2%) were experiencing high levels of stress. The average well-being score was 56.5 (SD = 21.91) on a scale from 0 to 100. Among the participants who have lifetime traumatic experience (n = 429), 14% (95% CI: 10.6%, 17.2%) were at risk for PTSD. Key risk factors for specific mental health outcomes differed, but the common ones included: current health status, previous mental health diagnosis, and psychological resilience. Being younger, having a below-average income, and excessively following news about Covid-19 were predictive for some of the mental health problems. Conclusions: Together, the key risk factors identified in this study indicate the need for public health interventions addressing the general population's mental health, but also for specific risk groups. Lower rates of mental health symptoms assessed soon after lifting quarantine measures that have been found in other studies may indicate human resilience capacity. HIGHLIGHTS Key risk factors for mental health disorders during the Covid-19 pandemic in Croatia were: current health status, previous mental health diagnosis, psychological resilience, younger age, below-average income, and excessively following news about the pandemic.
ABSTRACT
Background: The COVID-19 pandemic is a health emergency resulting in multiple stressors that may be related to posttraumatic stress disorder (PTSD). Objective: This study examined relationships between risk and protective factors, pandemic-related stressors, and PTSD during the COVID-19 pandemic. Methods: Data from the European Society of Traumatic Stress Studies (ESTSS) ADJUST Study were used. N = 4,607 trauma-exposed participants aged 18 years and above were recruited from the general populations of eleven countries (Austria, Croatia, Georgia, Germany, Greece, Italy, Lithuania, the Netherlands, Poland, Portugal, and Sweden) from June to November 2020. We assessed sociodemographic (e.g. gender), pandemic-related (e.g. news consumption), and health-related (e.g. general health condition) risk and protective factors, pandemic-related stressors (e.g. fear of infection), and probable PTSD (PC-PTSD-5). The relationships between these variables were examined using logistic regression on multiple imputed data sets. Results: The prevalence of probable PTSD was 17.7%. Factors associated with an increased risk for PTSD were younger age, female gender, more than 3 h of daily pandemic-related news consumption (vs. no consumption), a satisfactory, poor, or very poor health condition (vs. a very good condition), a current or previous diagnosis of a mental disorder, and trauma exposure during the COVID-19 pandemic. Factors associated with a reduced risk for PTSD included a medium and high income (vs. very low income), face-to-face contact less than once a week or 3–7 times a week (vs. no contact), and digital social contact less than once a week or 1–7 days a week (vs. no contact). Pandemic-related stressors associated with an increased risk for PTSD included governmental crisis management and communication, restricted resources, restricted social contact, and difficult housing conditions. Conclusion: We identified risk and protective factors as well as stressors that may help identify trauma-exposed individuals at risk for PTSD, enabling more efficient and rapid access to care. HIGHLIGHTS N = 4,607 trauma-exposed adult participants were recruited from the general population during the first year of the COVID-19 pandemic. The prevalence for probable posttraumatic stress disorder was 17.7%. We identified risk factors (e.g. poor health condition) and protective factors (e.g. social contact) associated with posttraumatic stress disorder.
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BACKGROUND: The aim of this study was to examine post-traumatic stress disorder (PTSD) symptom levels and coping strategies during the COVID-19 pandemic among treatment-seeking veterans with pre-existing PTSD. METHOD: A cohort of 176 male treatment-seeking veterans with pre-existing PTSD during the first COVID-19 pandemic lockdown (T1) and 132 participants from the same cohort one year after the onset of the pandemic (T2) participated in a longitudinal study. All participants responded to a COVID-19-related questionnaire and the following measures: the Life Events Checklist for DSM-5 (LEC-5), PTSD Checklist for DSM-5 (PCL-5) and the Brief COPE. RESULTS: The intensity of overall PTSD symptoms, avoidance symptoms and negative alterations in cognitions and mood was lower at T2. PTSD symptoms were not significantly correlated with SARS-CoV-2 potentially traumatic events (PTE) at T2. Veterans scored higher on emotion-focused and problem-focused coping than on dysfunctional coping. CONCLUSIONS: Veterans with pre-existing PTSD who were receiving long-term treatment coped with COVID-19 stressors without the effects of retraumatization and a consequent worsening of PTSD symptoms.
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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 is associated with adverse mental health outcomes for people worldwide.Objective: The study aimed to assess mental health during the Covid-19 pandemic and the key risk factors from the human ecology perspective in Croatia's adult population.Method: An online panel survey with 1,201 adult participants (50.1% women) was done with a nationally representative sample in terms of gender, age, and country region four months after the nation lockdown began and two months after most of the restrictions were lifted. Indicators of mental health included symptoms of adjustment disorder (ADNM-8); depression, anxiety, and stress (DASS-21); symptoms of post-traumatic stress disorder (PC-PTSD-5); and well-being (WHO-5).Results: In the entire sample, 9.8% (95% confidence interval [CI]: 7.9%, 14.0%) of the participants were at risk of adjustment disorder, 7.7% (95% CI: 6.7%, 11.9%) were at risk of depression disorder, and 7.8% (95% CI: 5.3%, 10.3%) were at risk of anxiety disorder. In addition, 7.2% (95% CI: 5.3%, 10.2%) were experiencing high levels of stress. The average well-being score was 56.5 (SD = 21.91) on a scale from 0 to 100. Among the participants who have lifetime traumatic experience (n = 429), 14% (95% CI: 10.6%, 17.2%) were at risk for PTSD. Key risk factors for specific mental health outcomes differed, but the common ones included: current health status, previous mental health diagnosis, and psychological resilience. Being younger, having a below-average income, and excessively following news about Covid-19 were predictive for some of the mental health problems.Conclusions: Together, the key risk factors identified in this study indicate the need for public health interventions addressing the general population's mental health, but also for specific risk groups. Lower rates of mental health symptoms assessed soon after lifting quarantine measures that have been found in other studies may indicate human resilience capacity.
Key risk factors for mental health disorders during the Covid-19 pandemic in Croatia were: current health status, previous mental health diagnosis, psychological resilience, younger age, below-average income, and excessively following news about the pandemic.
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.
Subject(s)
Adjustment Disorders/psychology , COVID-19/psychology , Psychological Trauma/psychology , Adjustment Disorders/epidemiology , Adult , Aged , Aged, 80 and over , COVID-19/epidemiology , Cross-Sectional Studies , Europe/epidemiology , Female , Humans , Male , Middle Aged , Pandemics , Protective Factors , Psychological Trauma/epidemiology , Quarantine/psychology , Risk Factors , SARS-CoV-2 , Surveys and QuestionnairesABSTRACT
Background: The Covid-19 pandemic has created significant challenges for the global higher education community. Understanding of students' perception has important implications for the quality of the learning process, as it affects students' engagement in learning, helps educators rethink the principles of the learning design and further improve the developed programs. Objectives: Understanding of how rapid and necessary changes of learning caused by the pandemic are related to students' intrinsic motivation and awareness. Methods: There were 832 participants in this study. Quantitative and qualitative research methods employing relevant statistical techniques were used to research students' opinions regarding the distance learning process. Results and Conclusions: Our analysis showed that first-year students were significantly less motivated during the learning process than older students, they saw distance learning as less valuable and less interesting than the others. Our research found several positive consequences of the pandemic: working according to students' own schedule in a relaxed environment, looking at the lecture again if necessary, feeling free to ask questions and communicate with teachers and saving travel time. Implications: Teachers should have more understanding for the first-year students who are threatened when it comes to developing motivation to learn and help them cope with learning anxieties, encourage their self-belief and give them extra support during the learning process.
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Distribution of agricultural products from the aspect of farms is a continuous issue. Efficient application of the distribution model should provide a farm owner with regular income, as well as with a competitive advantage. Assessment of distribution channels in the context of an agricultural producer is subject to multi-criteria decisions, including both qualitative and quantitative factors. The aim of this paper is to develop a model which enables a structured analysis and an efficient assessment of distribution channels. The methodology based on the Analytical Hierarchy Process (AHP) will be a useful tool in setting various criteria for deciding on distribution channels, as well as a tool for managing a multi-variant qualitative assessment of data included in decision-making processes. The survey results show that the most important distribution channel for agricultural products is the channel of sales via processing plants (cooling and drying facilities, silos and agricultural combines), compared to sales through advertising (which significantly increased its share with the COVID-19 pandemic), sales through sales channels or at farmers’markets.
ABSTRACT
BACKGROUND: During the current COVID-19 pandemic, the people in Europe are exposed to self-isolation, quarantine, job loss, risk of contracting COVID-19, or grief of loved ones. Such a complex array of stressors may lead to symptoms of adjustment disorder or posttraumatic stress disorder. This research protocol describes a study launched by the European Society of Traumatic Stress Studies (ESTSS) to investigate the impact of the COVID-19 pandemic on symptoms of adjustment disorder across European countries. OBJECTIVE: The longitudinal online cohort study aims (1) to explore psychosocial reactions to the COVID-19 pandemic across ten European countries; (2) to examine the relationships between risk and resilience factors, stressors and symptoms of adjustment disorder during the pandemic; and (3) to investigate whether these relationships are moderated by coping behaviours. METHOD: In ten countries (Austria, Croatia, Georgia, Germany, Italy, Lithuania, Netherlands, Poland, Portugal, and Sweden), between 1,000 and 2,000 participants will be recruited, depending on the size of the country. Participants will be assessed at two timepoints with a six-month interval. Following a conceptual framework based on the WHO's social framework of health, an assessment of risk and resilience factors, COVID-19 related stressors and pandemic-specific coping behaviours will be measured to estimate their contribution to symptoms of adjustment disorder. The Adjustment Disorder New Module 8 (ADNM-8) will be used to assess symptoms of adjustment disorder. As a secondary measure, symptoms of posttraumatic stress disorder will be measure using the Primary Care PTSD Screen for DSM-5 (PC-PTSD-5). DATA ANALYSIS: The relative contribution of risk factors, resilience factors, and stressors on symptoms of adjustment disorder or symptoms of posttraumatic stress disorder will be estimated using multilevel analysis. To determine the moderating effects of different types of coping behaviours on these relationships, a multilevel mediation analysis will be carried out.
Antecedentes: Durante la actual pandemia de COVID-19, las personas en Europa están expuestas a autoaislamiento, cuarentena, pérdida de empleo, riesgo de contraer COVID-19 o duelo de sus seres queridos. Un conjunto tan complejo de factores estresantes puede provocar síntomas de trastorno de adaptación o trastorno de estrés postraumático. Este protocolo de investigación describe un estudio lanzado por la Sociedad Europea de Estudios de Estrés Traumático (ESTSS) para investigar el impacto de la pandemia COVID-19 en los síntomas del trastorno de adaptación en países europeos.Objetivo: El estudio longitudinal de cohorte en línea tiene como objetivo (1) explorar las reacciones psicosociales a la pandemia de COVID-19 en diez países europeos; (2) examinar las relaciones entre los factores de riesgo y resiliencia, estresores y síntomas de trastorno de adaptación durante la pandemia; e (3) investigar si estas relaciones son moderadas por comportamientos de afrontamiento.Método: En diez países (Austria, Croacia, Georgia, Alemania, Italia, Lituania, Países Bajos, Polonia, Portugal y Suecia) serán reclutados entre 1,000 y 2,000 participantes, dependiendo del tamaño del país. Los participantes serán evaluados en dos momentos con un intervalo de seis meses. Siguiendo un marco conceptual basado en el marco social de salud de la OMS, una evaluación de los factores de riesgo y resiliencia, factores estresantes relacionados con COVID-19 y el comportamiento de afrontamiento específico de la pandemia serán medidos para estimar su contribución a los síntomas de trastorno de adaptación. El nuevo módulo de trastorno de adaptación 8 (ADNM-8) se utilizará para medir los síntomas del trastorno de adaptación. Como medida secundaria, se evaluarán síntomas de trastorno de estrés postraumático usando el cribaje de TEPT en atención primaria para DSM-5 (PC-PTSD-5).Análisis de datos: La contribución relativa de los factores de riesgo, factores de resiliencia y los estresores sobre los síntomas de trastorno de adaptación o síntomas de trastorno de estrés postraumático se estimará mediante análisis multinivel. Para determinar los efectos moderadores de diferentes tipos de conductas de afrontamiento en estas relaciones, se llevará a cabo un análisis de mediación multinivel.