Mental health and ecological momentary assessments during COVID-19: Data from the corona health app adolescents study

The dataset presented in this work is derived from the Adolescent Study in the Corona Health app, a digital health initiative designed with the German Robert Koch Institute (RKI) to monitor the physical and mental well-being of children during and after the COVID-19 pandemic. Data were collected using a mobile-based survey platform that utilized Ecological Momentary Assessments (EMA) and Patient-Reported Outcome Measures (PROMs) to capture real-time health-related information. The dataset comprises responses from a single longitudinal study involving 399 adolescents between 12 and 17 years who completed baseline assessments, with 113 of these participants also contributing 637 follow-up assessments over time. The study utilized baseline and follow-up questionnaires to capture changes in participants' health status throughout the pandemic period (July 2020 to December 2023). The questionnaires cover key health indicators such as medical history, lifestyle factors, emotional well-being, and pandemic-related behavioral changes. By capturing real-time, longitudinal mental health data from adolescents during a significant public health crisis, this dataset enables researchers to examine how anxiety, depression, and quality-of-life indicators fluctuated in response to pandemic restrictions. The integration of ecological momentary assessments with validated psychological screening tools provides unique opportunities to analyze adolescent mental health trajectories, identify resilience factors, and evaluate the effectiveness of mobile health approaches for public health surveillance during crisis situations. The data, including questionnaire responses and mobile sensing data, are publicly available under a Creative Commons license at https://zenodo.org/records/15101756.

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Publication Details

Journal
Data in Brief
Published
2025-05-07
DOI
https://doi.org/10.1016/j.dib.2025.111619
Citations
3
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
6.35
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article

Mental health and ecological momentary assessments during COVID-19: Data from the corona health app adolescents study

Marcel Romanos, Michael Winter, Rüdiger Pryss, Lorenz Deserno
3 citations
Data in Brief
Mental Health Research Topics
6.35
article

Mental health and ecological momentary assessments during COVID-19: Data from the corona health app adolescents study

Marcel Romanos, Michael Winter, Rüdiger Pryss, Lorenz Deserno
article en
3 citations

Abstract

The dataset presented in this work is derived from the Adolescent Study in the Corona Health app, a digital health initiative designed with the German Robert Koch Institute (RKI) to monitor the physical and mental well-being of children during and after the COVID-19 pandemic. Data were collected using a mobile-based survey platform that utilized Ecological Momentary Assessments (EMA) and Patient-Reported Outcome Measures (PROMs) to capture real-time health-related information. The dataset comprises responses from a single longitudinal study involving 399 adolescents between 12 and 17 years who completed baseline assessments, with 113 of these participants also contributing 637 follow-up assessments over time. The study utilized baseline and follow-up questionnaires to capture changes in participants' health status throughout the pandemic period (July 2020 to December 2023). The questionnaires cover key health indicators such as medical history, lifestyle factors, emotional well-being, and pandemic-related behavioral changes. By capturing real-time, longitudinal mental health data from adolescents during a significant public health crisis, this dataset enables researchers to examine how anxiety, depression, and quality-of-life indicators fluctuated in response to pandemic restrictions. The integration of ecological momentary assessments with validated psychological screening tools provides unique opportunities to analyze adolescent mental health trajectories, identify resilience factors, and evaluate the effectiveness of mobile health approaches for public health surveillance during crisis situations. The data, including questionnaire responses and mobile sensing data, are publicly available under a Creative Commons license at https://zenodo.org/records/15101756.

Data in BriefVol. 60
University of Würzburg (DE), Universitätsklinikum Würzburg (DE)
Zero hunger
Openalex Percentile: Top 4%
Mental Health Research Topics
6.35
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