Dataset Information

Trajectories of loneliness, depressive symptoms, and anxiety symptoms during the COVID-19 pandemic in Austria.

ABSTRACT:

Objective

There is considerable heterogeneity within populations regarding the effects of the COVID-19 pandemic on mental health. This study aimed at identifying latent groups of individuals within the older Austrian population that differ in their mental health trajectories across three phases of the pandemic.

Study design

Data were gathered from a longitudinal survey study among a sample of older adults in Austria. The survey was carried out in May 2020 (N₁ = 556), March 2021 (N₂ = 462), and December 2021 (N₃ = 370) via either computer-assisted web or telephone interviewing.

Methods

Latent class growth analysis was conducted to explore different homogenous groups in terms of non-linear trajectories of loneliness, depressive symptoms, and anxiety symptoms as well as potential correlates thereof.

Results

We identified four latent classes. The vast majority of individuals belong to two classes that are either resilient (71%) or that have recovered relatively quickly from an initial COVID-19 shock (10.2%). Deterioration in mental health after the first phase of the pandemic (13.4%) or a generally high mental health burden (5.4%) characterizes the other two classes.

Conclusions

About 19% of individuals showed increasing or elevated levels in loneliness, depressive symptoms, and anxiety symptoms across the COVID-19 pandemic. The feeling of being socially supported and in control over one's own life emerged as potentially protective factors.

SUBMITTER: Mayerl H

PROVIDER: S-EPMC9411147 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature

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Publications

Trajectories of loneliness, depressive symptoms, and anxiety symptoms during the COVID-19 pandemic in Austria.

Mayerl H H Stolz E E Freidl W W

Public health 20220826

<h4>Objective</h4>There is considerable heterogeneity within populations regarding the effects of the COVID-19 pandemic on mental health. This study aimed at identifying latent groups of individuals within the older Austrian population that differ in their mental health trajectories across three phases of the pandemic.<h4>Study design</h4>Data were gathered from a longitudinal survey study among a sample of older adults in Austria. The survey was carried out in May 2020 (N<sub>1</sub> = 556), Ma ...[more]

PMID: 36174437

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Project description:Background: Understanding the direction and magnitude of mental health-loneliness associations across time is important to understand how best to prevent and treat mental health and loneliness. This study used weekly data collected over 8 weeks throughout the COVID-19 pandemic to expand previous findings and using dynamic panel models with fixed effects which account for all time-invariant confounding and reverse causation. Methods: Prospective data on a convenience and snowball sample from all 50 US states and the District of Colombia (n = 2,361 with ≥2 responses, 63.8% female; 76% retention rate) were collected weekly via online survey at nine consecutive timepoints (April 3-June 3, 2020). Anxiety and depressive symptoms and loneliness were assessed at each timepoint and participants reported the COVID-19 containment strategies they were following. Dynamic panel models with fixed effects examined bidirectional associations between anxiety and depressive symptoms and loneliness, and associations of COVID-19 containment strategies with these outcomes. Results: Depressive symptoms were associated with small increases in both anxiety symptoms (β = 0.065, 95% CI = 0.022-0.109; p = 0.004) and loneliness (β = 0.019, 0.008-0.030; p = 0.001) at the subsequent timepoint. Anxiety symptoms were associated with a small subsequent increase in loneliness (β = 0.014, 0.003-0.025; p = 0.015) but not depressive symptoms (β = 0.025, -0.020-0.070; p = 0.281). Loneliness was strongly associated with subsequent increases in both depressive (β = 0.309, 0.159-0.459; p < 0.001) and anxiety (β = 0.301, 0.165-0.436; p < 0.001) symptoms. Compared to social distancing, adhering to stay-at-home orders or quarantining were not associated with anxiety and depressive symptoms or loneliness (both p ≥ 0.095). Conclusions: High loneliness may be a key risk factor for the development of future anxiety or depressive symptoms, underscoring the need to combat or prevent loneliness both throughout and beyond the COVID-19 pandemic. COVID-19 containment strategies were not associated with mental health, indicating that other factors may explain previous reports of mental health deterioration throughout the pandemic.

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.

Dataset Information

Trajectories of loneliness, depressive symptoms, and anxiety symptoms during the COVID-19 pandemic in Austria.

Objective

Study design

Methods

Results

Conclusions

Publications

Trajectories of loneliness, depressive symptoms, and anxiety symptoms during the COVID-19 pandemic in Austria.

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