Evidence map›Paper›PMID 37377941›Full record

ArticleJournal of health monitoring2017

New data for action. Data collection for KiGGS Wave 2 has been completed.

Elvira Mauz, Antje Gößwald, Panagiotis Kamtsiuris, Robert Hoffmann, Michael Lange, Ursula von Schenck, Jennifer Allen, Hans Butschalowsky, Laura Frank, Heike Hölling and 17 more

Abstract read
In one paragraph

Article in Journal of health monitoring, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers.

0numbers the graph read from it
0cells of the map it votes in
81citing 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

81 citing papers in PubMed.

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  12. Correlates of Aerobic Performance in Adolescents and Adults.European journal of sport science · 2025
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21 more citing papers are in PubMed but not listed here.

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

27 authors.

Elvira MauzRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin.
Antje GößwaldRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin.
Panagiotis KamtsiurisRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin.
Robert HoffmannRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin.
Michael LangeRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin.
Ursula von SchenckRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin.
Jennifer AllenRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin.
Hans ButschalowskyRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin.
Laura FrankRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin.
Heike HöllingRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin.
Robin HoubenRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin.
Laura KrauseRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin.
Ronny KuhnertRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin.
Cornelia LangeRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin.
Stephan MütersRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin.
Hannelore NeuhauserRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin.
Christina Poethko-MüllerRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin.
Almut RichterRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin.
Angelika Schaffrath RosarioRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin.
Jörg SchaarschmidtRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin.
Robert SchlackRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin.
Martin SchlaudRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin.
Patrick SchmichRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin.
Gina SchöneRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin.
Matthias WetzsteinRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin.
Thomas ZieseRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin.
Bärbel-Maria KurthRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The fieldwork of the second follow-up to the German Health Interview and Examination Survey for Children and Adolescents (KiGGS) was completed in August 2017. KiGGS is part of the Robert Koch Institute's Federal Health Monitoring. The study consists of the KiGGS cross-sectional component (a nationally representative, periodic cross-sectional survey of children and adolescents aged between 0 and 17) and the KiGGS cohort (the follow-up into adulthood of participants who took part in the KiGGS baseline study). KiGGS collects data on health status, health-related behaviour, psychosocial risk and protective factors, health care and the living conditions of children and adolescents in Germany. The first interview and examination survey (the KiGGS baseline study; undertaken between 2003 and 2006; n=17,641; age range: 0-17) was carried out in a total of 167 sample points in Germany. Physical examinations, laboratory analyses of blood and urine samples and various physical tests were conducted with the participants and, in addition, all parents and participants aged 11 or above were interviewed. The first follow-up was conducted via telephone-based interviews (KiGGS Wave 1 2009-2012; n=11,992; age range: 6-24) and an additional sample was included (n=4,455; age range: 0-6). KiGGS Wave 2 (2014-2017) was conducted as an interview and examination survey and consisted of a new, nationwide, representative cross-sectional sample of 0- to 17-year-old children and adolescents in Germany, and the second KiGGS cohort follow-up. The completion of the cross-sectional component of KiGGS Wave 2 means that the health of children and adolescents in Germany can now be assessed using representative data gained from three study waves. Trends can therefore be analysed over a period stretching to over ten years now. As the data collected from participants of the KiGGS cohort can be individually linked across the various surveys, in-depth analyses can be conducted for a period ranging from childhood to young adulthood and developmental processes associated with physical and mental health and the associated risk and protective factors can be explored. As such, KiGGS Wave 2 expands the resources available to health reporting, as well as policy planning and research, with regard to assessing the health of children and adolescents in Germany.

Indexed as

CHILDREN AND ADOLESCENTSCOHORTGERMANYHEALTH MONITORINGKIGGS

Identifiers

PMID37377941
PMCPMC10291840

What OpenQuestion holds

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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.