Evidence map›Paper›PMID 40486238›Full record

ArticleData in brief2025

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

Michael Winter, Lorenz Deserno, Marcel Romanos, Rüdiger Pryss

Abstract read
In one paragraph

Article in Data in brief, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Michael WinterInstitute of Medical Data Science, University Hospital Würzburg, Würzburg, Germany.
Lorenz DesernoCenter of Mental Health, Department for Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital of Würzburg, Würzburg, Germany.
Marcel RomanosCenter of Mental Health, Department for Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital of Würzburg, Würzburg, Germany.
Rüdiger PryssInstitute of Medical Data Science, University Hospital Würzburg, Würzburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

COVID-19Digital health monitoringEcological momentary assessmentPublic health surveillance

Identifiers

PMID40486238
PMCPMC12145559

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.