Dataset Information

Coping behaviors associated with decreased anxiety and depressive symptoms during the COVID-19 pandemic and lockdown.

ABSTRACT:

Background

The COVID-19 pandemic and lockdown might increase anxiety and depressive symptoms, but some behaviors may protect against them.

Method

To provide a preliminary evidence of the behaviors associated with decreased symptoms in the current COVID-19 pandemic and lockdown, we conducted a survey of 5545 adult individuals from the Spanish general population, two weeks after an official lockdown was established across the country.

Results

Sixty-five percent of the sample reported anxiety or depressive symptoms. Following a healthy/balanced diet and not reading news/updates about COVID-19 very often were the best predictors of lower levels of anxiety symptoms. Following a healthy/balanced diet, following a routine, not reading news/updates about COVID-19 very often, taking the opportunity to pursue hobbies, and staying outdoors or looking outside were the best predictors of lower levels of depressive symptoms.

Limitations

Cross-sectional nature and use of sample of convenience.

Conclusions

This study suggests that "simple" coping behaviors may protect against anxiety and depressive symptoms during the COVID-19 pandemic and lockdown.

SUBMITTER: Fullana MA

PROVIDER: S-EPMC7329680 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Coping behaviors associated with decreased anxiety and depressive symptoms during the COVID-19 pandemic and lockdown.

Fullana Miquel A MA Hidalgo-Mazzei Diego D Vieta Eduard E Radua Joaquim J

Journal of affective disorders 20200702

<h4>Background</h4>The COVID-19 pandemic and lockdown might increase anxiety and depressive symptoms, but some behaviors may protect against them.<h4>Method</h4>To provide a preliminary evidence of the behaviors associated with decreased symptoms in the current COVID-19 pandemic and lockdown, we conducted a survey of 5545 adult individuals from the Spanish general population, two weeks after an official lockdown was established across the country.<h4>Results</h4>Sixty-five percent of the sample ...[more]

PMID: 32658829

Similar Datasets

Project description:BackgroundPopulation health and well-being in Latin America, the current epicenter of the COVID-19 pandemic, has been severely affected during the past semester. Despite the growing evidence about the link between the pandemic, its control measures, and mental health worldwide, there is still no regional evidence of the potential mental health impact. We describe the prevalence and distribution of depressive symptoms across demographic and socioeconomic risk factors in the Peruvian population amidst a national lockdown during the COVID-19 pandemic.MethodsCross-sectional study conducted during the community transmission phase and national lockdown in Peru (May 4th-16th, 2020). We recorded 64,493 responses from adult Peruvian residents through an opt-in online questionnaire. All analyses were weighted using raking based on proportions of sociodemographic variables from the last Peruvian census in 2017. The prevalence of depressive symptoms was calculated using the Patient Health Questionnaire (PHQ-9) score of 10 or more. We identified associated demographic and socioeconomic factors by prior mental health diagnosis. Sensitivity analysis considered an alternative cut-off point for depressive symptoms of PHQ-9 ≥ 14.ResultsA total of 57,446 participants were included in the analytical sample. A third of the participants (n = 23,526, unweighted) showed depressive symptoms in the 2 weeks prior to the study. Participants who reported a previous mental health diagnosis doubled the sample prevalence of depressive symptoms (59, 95%CI 56.7, 61.4%) of those without a prior diagnosis. Psychosocial and functioning reactions were largely more prevalent among females and young adults. A dose-response relationship was found between household income and depressive symptoms across previous mental health diagnosis strata, being as low as 32% less in the wealthiest than the most impoverished group (PR: 0.68, 95%CI 0.58,0.79). Other critical factors associated with a higher burden of depressive symptoms were lower education level, single, unemployed, and chronic comorbidity.ConclusionsAn increased burden of depressive symptoms and psychosocial reactions has emerged during the COVID-19 pandemic in Peru compared to previous years. The mental health burden disproportionately affects women, the younger population, and those with low income and education. As the country eases the social distancing measures, it is crucial to use local evidence to adjust public health policies and mental health services to the renewed population needs.

Project description:Poor mental health is a growing concern among young people during the coronavirus disease 2019 (COVID-19) pandemic. The aim of this study was to assess the associations of Internet addiction with depressive symptoms, anxiety symptoms, and stress in higher education students during the COVID-19 pandemic, as well as to examine these mental health problems in the context of study-related characteristics. The research sample consisted of 3,099 participants from the Czech Republic (CZ: 1,422) and Slovak Republic (SK: 1,677). The Internet Addiction Test (IAT), the Generalized Anxiety Disorder (GAD-7) scale, the Patient Health Questionnaire for depressive symptoms (PHQ-9), and the Perceived Stress Scale (PSS) were used to measure mental health problems. The analyses also included demographic data (gender and age) and study-related characteristics (form of study, degree of study, field of study, distance between college and home, and housing during the semester). Based on the results of frequency and descriptive analyses, the prevalence of mental health problems was high. The most serious levels of Internet addiction (IAT cut-off point ≥ 50), to which attention should be paid, were found in 3.5% of Czech and 6.2% of Slovak students. Using the standard cut-off point of GAD-7 ≥ 10, 14.1% of Czech and 11.6% of Slovak students were identified with anxiety symptoms. Regarding the PHQ-9 with the cut-off point ≥ 10, 23.4% of Czech and 19.1% of Slovak students had depressive symptoms, which should be addressed. Using the PSS cut-off point ≥ 27, 12.9% of Czech students and 9.1% of Slovak students perceived high stress. The quantile regression analysis showed that Internet addiction was positively associated with anxiety symptoms, depressive symptoms, and stress in all of the analyzed cases (p-value < 0.001). In terms of study-related characteristics, the binomial logistic regression analysis revealed that risk factors for mental health problems in Czech and Slovak students were mainly full-time form of study and living away from home during the semester. Internet addiction, anxiety symptoms, depressive symptoms, and stress are issues that require increased attention, and professionals and policy-makers should implement interventions to effectively prevent and help students with psychological problems.

Project description:BackgroundThe Coronavirus Disease 2019 (COVID-19) pandemic has triggered fear and distress among the public, thus potentiating the incidence rate of anxiety and depression. This study aims to investigate the psychological effect of quarantine on persons living in Morocco when the first COVID-19 cases were identified. The associations between anxiety, depression symptoms, and their predictors (sociodemographics, fatigue, and religious coping) were examined.MethodsA web-based cross-sectional survey, with a total of 1435 participants (≥18 years) recruited anonymously, was conducted during the COVID-19 pandemic (from 3 to 30 April 2020). A structured questionnaire was used to assess psychosocial factors, COVID-19 epidemic-related factors, and religious coping. Religious coping, fatigue, and depression, and anxiety were measured by Brief Religious Coping Scale (Brief RCOPE), Chalder Fatigue Scale (CFS), and Hospital Anxiety and Depression Scale (HADS), respectively. A generalized linear model (logistic regression) was used to determine the predictive factors of depression and anxiety.ResultsThe prevalence of anxiety and depression was 43.0% (n = 621) and 53.0% (n = 766), respectively. Both were associated with female gender, household income decline, tracking COVID-19 news, and fear to contract COVID-19 (aOR = 1.36 to 2.85). Additionally, 32.0% (n = 453) and 26.0% (n = 372) reported severe physical fatigue, and mental fatigue, respectively. Both latter factors were significantly and positively associated with depression as well as with anxiety. Depressive and anxious patients used more negative religious coping, while positive religious coping was slightly associated with depression.ConclusionIn this online survey of the general population in Morocco, anxiety and depressive symptoms are prevalent during the COVID-19 pandemic. Pandemic and psychosocial factors, such as female gender, income decline, infection fears, massive COVID-19 news exposure, negative religious coping, and fatigue were associated with increased risk of depression and anxiety symptoms. Psychosocial and financial support should be provided to the quarantined population.

Dataset Information

Coping behaviors associated with decreased anxiety and depressive symptoms during the COVID-19 pandemic and lockdown.

Background

Method

Results

Limitations

Conclusions

Publications

Coping behaviors associated with decreased anxiety and depressive symptoms during the COVID-19 pandemic and lockdown.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets