Dataset Information

Psychological distress associated with COVID-19 quarantine: Latent profile analysis, outcome prediction and mediation analysis.

ABSTRACT: BACKGROUND:Mental health of the population during COVID-19 quarantine could be at risk. Previous studies in short quarantines, found mood-related and anxiety symptomatology. Here we aimed to characterize the subtypes of psychological distress associated with quarantine, assess its prevalence, explore risk/protective factors, and possible mechanisms. METHODS:Online cross-sectional data (n = 4408) was collected during the Argentine quarantine, between 1st-17th April 2020 along a small replication study (n = 644). Psychological distress clusters were determined using latent profile analysis on a wide-range of symptoms using the complete Brief-Symptom Inventory-53. Multinomial and Elastic-net regression were performed to identify risk/protective factors among trait-measures (Personality and Resilience) and state-measures (COVID-19 related fear and coping-skills). RESULTS:Three latent-classes defined by symptom severity level were identified. The majority of individuals were classified in the mild (40.9%) and severe classes (41.0%). Participants reported elevated symptoms of Phobic-Anxiety (41.3%), Anxiety (31.8%), Depression (27.5%), General-Distress (27.1%), Obsession-Compulsion (25.1%) and Hostility (13.7%). Logistic-regressions analyses mainly revealed that women, young individuals, having a previous psychiatric diagnosis or trauma, having high levels of trait-neuroticism and COVID-related fear, were those at greater risk of psychological distress. In contrast, adults, being married, exercising, having upper-class income, having high levels of trait-resilience and coping-skills, were the most protected. Mediation analysis, showed that state-measures mediated the association between trait-measures and class-membership. CONCLUSIONS:Quarantine was associated intense psychological distress. Attention should be given to COVID-19-related fear and coping-skills as they act as potential mediators in emotional suffering during quarantine.

SUBMITTER: Fernandez RS

PROVIDER: S-EPMC7413121 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Psychological distress associated with COVID-19 quarantine: Latent profile analysis, outcome prediction and mediation analysis.

Fernández Rodrigo S RS Crivelli Lucia L Guimet Nahuel Magrath NM Allegri Ricardo F RF Pedreira Maria E ME

Journal of affective disorders 20200807

<h4>Background</h4>Mental health of the population during COVID-19 quarantine could be at risk. Previous studies in short quarantines, found mood-related and anxiety symptomatology. Here we aimed to characterize the subtypes of psychological distress associated with quarantine, assess its prevalence, explore risk/protective factors, and possible mechanisms.<h4>Methods</h4>Online cross-sectional data (n = 4408) was collected during the Argentine quarantine, between 1st-17th April 2020 along a sma ...[more]

PMID: 32799107

Similar Datasets

Project description:BackgroundQuarantine as a preventive action to reduce people's exposure to a contagious disease has substantial psychological impact. We aimed to collect information on psychologically distressing experiences of Italians living in quarantine during the COVID-19 pandemic.MethodsFrom 6 to 20 April 2020 participants filled out an online questionnaire. Demographic and physical symptoms data from the prior 14 days of quarantine were collected. Psychological impact of quarantine was assessed by the COVID-19 Peritraumatic Distress Index (CPDI).ResultsIn all, 20,158 participants completed the online survey. Of these, 11,910 (59.1%) were from Lombardy, the region with 37.7% of positive cases identified during the survey period. 30.1% of responders were male. About half (55.9%) of responders were 18-50 years old, 54.3% had a tertiary level of education, 69.5% were workers, 84.1% were living in houses with ≥3 rooms, and 13.7% were living alone. 9.7% had had contact with COVID-19 positive people. Of all responders, 9978 (48.6%) reported a psychological impact, 8897 (43.4%) of whom reported mild or moderate and 1081 (5.2%) severe psychological impact. The multivariate analysis, after adjustments, showed that an increasing CPDI score was associated with gender (female), first-second educational level, being unemployed, living in a ≤2 room house, having had new health problems during the previous 14 days, and not having been out of the house in the previous week. Concerning the type of psychological distress, 2003 responders (9.9%) reported moderate to severe depressive symptoms, 1131 (5.5%) moderate to severe anxiety symptoms, and 802 (3.9%) moderate to severe physical symptoms. A positive correlation was found between responder rate (per 10.000 residents) and positive COVID-19 cases (per 10.000 residents) by region (rs = + 0.83, p = < 0.0001), and between responder rate and region latitude (rs = + 0.91, p = < 0.0001), with a greater response rate in the north. Considering Lombardy Region responders, a negative correlation between CPDI score and distance from place of residence to the red zone (Nembro-Alzano) was found. Higher prevalence of psychological distress was found up to 25 km away from the red zone and, in particular, severe distress up to 15 km.ConclusionsPolicy makers and mental health professionals should be aware of quarantine's adverse mental health consequences. Factors influencing the success of quarantine and infection control practices for both disease containment and community recovery should be identified and additional support to vulnerable persons at increased risk of adverse psychological and social consequences of quarantine should be guaranteed.

Project description:BackgroundIn association with the novel coronavirus (SARS-CoV-2) disease 2019 (COVID-19) pandemic, many numbers of Ethiopian migrants are returning to their home country, and they are required to stay in mandatory quarantine centers. This results in severe disruptions of life routines, social isolation, and loss of freedom. Studies on psychological distress among Ethiopian migrant returnees in the context of COVID-19 are scarce. This study aimed to investigate the prevalence of psychological distress and associated factors among migrant returnees who were in quarantine during the time of COVID-19.MethodsA cross-sectional study was conducted with 405 migrant returnees recruited from quarantine centers in Addis Ababa. We developed a structured questionnaire to collect data on sociodemographic, migration related, quarantine related and COVID-19 related characteristics of participants. We used the 21 item Depression, Anxiety and Stress Scale to assess psychological distress. Univariate and multivariable negative binomial regression models were fitted to assess the association between exposure variables with depression, anxiety and stress separately.ResultsA little more than half of the participants (55%) had depressive symptoms; around half had anxiety symptoms (48.9%) and more than a third (35.6%) experienced symptoms of stress. We found significantly higher prevalence of anxiety (ARR = 0.59; 95% CI = 0.39, 0.91) and depressive symptoms (ARR = 0.56; 95% CI = 0.39, 0.81) among women than men. Fear of discrimination after the quarantine was significantly associated with depressive (ARR = 0.76; 95% CI = 0.63, 0.92) and anxiety symptoms (ARR = 0.77; 95% CI = 0.62, 0.97). Experiencing COVID-19 like symptoms is associated with depressive (ARR = 0.40; 95% CI = 0.25, 0.65), anxiety (ARR = 0.35; 95% CI = 0.20, 0.62) and stress symptoms (ARR = 0.43; 95% CI = 0.28, 0.66). Have no a plan of what to do after the quarantine (ARR = 1.30; 95% CI = 1.09, 1.54) was significantly associated with increasing stress scores.ConclusionsWe found a very high prevalence of depressive, anxiety and stress symptoms among Ethiopian migrant returnees who were in quarantine due to the COVID-19 pandemic. Screening, integration of mental health services with other socioeconomic and psychosocial services, and effective and efficient referral may be useful to address the burden of psychological distress in this group.

Dataset Information

Psychological distress associated with COVID-19 quarantine: Latent profile analysis, outcome prediction and mediation analysis.

Publications

Psychological distress associated with COVID-19 quarantine: Latent profile analysis, outcome prediction and mediation analysis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets