Dataset Information

Profiles of risk factors for depressive and anxiety symptoms during the COVID-19 pandemic: A latent class analysis.

ABSTRACT: The COVID-19 pandemic has caused a high burden in the general population. The exposure to an accumulation of risk factors, as opposed to a single risk, may have been associated with higher levels of depressive and anxiety symptoms during the pandemic. This study aimed to (1) identify subgroups of individuals with distinct constellations of risk factors during the COVID-19 pandemic and (2) investigate differences in levels of depressive and anxiety symptoms. German participants (N = 2245) were recruited between June-September 2020 through an online survey (ADJUST study). Latent class analysis (LCA) and multiple group analyses (Wald-tests) were conducted to identify profiles of risk factors and examine differences in symptoms of depression (PHQ-9) and anxiety (GAD-2). The LCA included 14 robust risk factors of different domains, for example, sociodemographic (e.g., age), health-related (e.g., trauma), and pandemic-related (e.g., reduced income) factors. The LCA identified three risk profiles: High sociodemographic risk (11.7%), high social and moderate health-related risk (18.0%), and low general risk (70.3%). Individuals with high sociodemographic risk reported significantly higher symptom levels of depression and anxiety than the remaining groups. A better understanding of risk factor profiles could help to develop targeted prevention and intervention programs during pandemics.

SUBMITTER: Kenntemich L

PROVIDER: S-EPMC9985930 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature

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Profiles of risk factors for depressive and anxiety symptoms during the COVID-19 pandemic: A latent class analysis.

Kenntemich Laura L von Hülsen Leonie L Schäfer Ingo I Böttche Maria M Lotzin Annett A

Psychiatry research 20230305

The COVID-19 pandemic has caused a high burden in the general population. The exposure to an accumulation of risk factors, as opposed to a single risk, may have been associated with higher levels of depressive and anxiety symptoms during the pandemic. This study aimed to (1) identify subgroups of individuals with distinct constellations of risk factors during the COVID-19 pandemic and (2) investigate differences in levels of depressive and anxiety symptoms. German participants (N = 2245) were re ...[more]

PMID: 36913873

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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

Profiles of risk factors for depressive and anxiety symptoms during the COVID-19 pandemic: A latent class analysis.

Publications

Profiles of risk factors for depressive and anxiety symptoms during the COVID-19 pandemic: A latent class analysis.

Similar Datasets

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