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      Mental health burden of high school students, and suggestions for psychosocial support, 1.5 years into the COVID-19 pandemic in Austria

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          Abstract

          The COVID-19 pandemic and containment efforts seem to be particularly challenging for adolescents. This study assessed mental health in high school students 1.5 years after the pandemic began in Austria. A cross-sectional survey was carried out from September to November 2021. Well-being (WHO-5), depressive symptoms, anxiety symptoms and sleep quality were assessed. A total of 1505 adolescents participated (78% girls). The cut-offs for clinically relevant symptoms were exceeded by 62% girls and 38.1% boys for depression (PHQ-9 score ≥ 11), 49% girls and 29% boys for anxiety (GAD-7 score ≥ 11) and 28% girls and 17% boys for insomnia (ISI score ≥ 15). The prevalence of suicidal ideation (item 9 of the PHQ-9) within the last 2 weeks was 47% in girls and 32% in boys. These data collected in autumn 2021 (the start of the second semester of reopened schools; t2) were compared to data collected in February 2021 (one semester after remote schooling; t1). A matched pairs analysis according to age, gender, region, school type and migration background resulted in a total sample size of N = 2514 adolescents. Results showed small deteriorations in mental health (i.e., well-being, depression, insomnia, suicidal ideation) in girls at t2 compared to t1, and an increase in suicidal thoughts in boys (all p-values < 0.05). Qualitative data show that young people have a need for more psychological support, both professional and informal, as well as increased mental health literacy. Results suggest that mental health burden in adolescents remains high 1.5 years into the pandemic and highlight the need to implement timely psychological support.

          Supplementary Information

          The online version contains supplementary material available at 10.1007/s00787-022-02032-4.

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          Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data capture tools to support clinical and translational research. We present: (1) a brief description of the REDCap metadata-driven software toolset; (2) detail concerning the capture and use of study-related metadata from scientific research teams; (3) measures of impact for REDCap; (4) details concerning a consortium network of domestic and international institutions collaborating on the project; and (5) strengths and limitations of the REDCap system. REDCap is currently supporting 286 translational research projects in a growing collaborative network including 27 active partner institutions.
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            Content analysis is a widely used qualitative research technique. Rather than being a single method, current applications of content analysis show three distinct approaches: conventional, directed, or summative. All three approaches are used to interpret meaning from the content of text data and, hence, adhere to the naturalistic paradigm. The major differences among the approaches are coding schemes, origins of codes, and threats to trustworthiness. In conventional content analysis, coding categories are derived directly from the text data. With a directed approach, analysis starts with a theory or relevant research findings as guidance for initial codes. A summative content analysis involves counting and comparisons, usually of keywords or content, followed by the interpretation of the underlying context. The authors delineate analytic procedures specific to each approach and techniques addressing trustworthiness with hypothetical examples drawn from the area of end-of-life care.
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                Author and article information

                Contributors
                rachel.dale@donau-uni.ac.at
                Journal
                Eur Child Adolesc Psychiatry
                Eur Child Adolesc Psychiatry
                European Child & Adolescent Psychiatry
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                1018-8827
                1435-165X
                28 July 2022
                28 July 2022
                : 1-10
                Affiliations
                GRID grid.15462.34, ISNI 0000 0001 2108 5830, Department for Psychosomatic Medicine and Psychotherapy, , University for Continuing Education Krems, ; Krems an der Donau, Austria
                Author information
                http://orcid.org/0000-0003-0526-8834
                Article
                2032
                10.1007/s00787-022-02032-4
                9330952
                35900473
                8e85f025-e847-45c3-b82c-1b961a5222b6
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 19 January 2022
                : 20 June 2022
                Funding
                Funded by: Danube University Krems University for Continuing Education
                Categories
                Original Contribution

                Clinical Psychology & Psychiatry
                adolescents,mental health,covid-19,psychological support
                Clinical Psychology & Psychiatry
                adolescents, mental health, covid-19, psychological support

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