Evidence map›Paper›PMID 35146241›Full record

ArticleJournal of health monitoring2019

Health inequalities among children and adolescents in Germany. Developments over time and trends from the KiGGS study.

Thomas Lampert, Jens Hoebel, Benjamin Kuntz, Jonas D Finger, Heike Hölling, Michael Lange, Elvira Mauz, Gert B M Mensink, Christina Poethko-Müller, Anja Schienkiewitz and 3 more

Open access · greenAbstract read
In one paragraph

Article in Journal of health monitoring, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.9field-weighted citation impact, top 12% of its field
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

13 citing papers in PubMed, 13 citations in OpenAlex.

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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

13 authors at 1 institution in 1 country.

Thomas LampertRobert Koch Institute, Berlin Department of Epidemiology and Health Monitoring.
Jens HoebelRobert Koch Institute, Berlin Department of Epidemiology and Health Monitoring.
Benjamin KuntzRobert Koch Institute, Berlin Department of Epidemiology and Health Monitoring.
Jonas D FingerRobert Koch Institute, Berlin Department of Epidemiology and Health Monitoring.
Heike HöllingRobert Koch Institute, Berlin Department of Epidemiology and Health Monitoring.
Michael LangeRobert Koch Institute, Berlin Department of Epidemiology and Health Monitoring.
Elvira MauzRobert Koch Institute, Berlin Department of Epidemiology and Health Monitoring.
Gert B M MensinkRobert Koch Institute, Berlin Department of Epidemiology and Health Monitoring.
Christina Poethko-MüllerRobert Koch Institute, Berlin Department of Epidemiology and Health Monitoring.
Anja SchienkiewitzRobert Koch Institute, Berlin Department of Epidemiology and Health Monitoring.
Anne StarkerRobert Koch Institute, Berlin Department of Epidemiology and Health Monitoring.
Johannes ZeiherRobert Koch Institute, Berlin Department of Epidemiology and Health Monitoring.
Bärbel-Maria KurthRobert Koch Institute, Berlin Department of Epidemiology and Health Monitoring.
Robert Koch Institute · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examines the extent to which health inequalities among children and adolescents in Germany have developed over the past decade. The analyses are based on data from the German Health Interview and Examination Survey for Children and Adolescents (KiGGS), which are representative of the 0- to 17-year-old population in Germany. The KiGGS data were collected in three waves: the KiGGS baseline study (2003-2006), KiGGS Wave 1 (2009-2012) and KiGGS Wave 2 (2014-2017). Prevalences of five health outcomes are considered: general health, mental health problems, physical activity, the consumption of sugary soft drinks, and smoking. Moreover, it defines health inequalities in relation to differences in the socioeconomic status of the family (SES), an index derived from the parents' level of education, occupation and income, and considers both absolute and relative health inequalities. In order to do so, the Slope Index of Inequality (SII) and the Relative Index of Inequality (RII) were calculated using linear probability or log-binomial models. Significant inequalities were identified to the detriment of young people from families with a low SES. These inequalities were particularly pronounced in the KiGGS Wave 2 data with regard to general health and the consumption of sugary soft drinks. Additionally, evidence from trend analyses for these two outcomes suggests that relative inequalities have increased. However, absolute inequalities decreased during the same period, and this also applies to smoking. The persistently high and, in some cases, widened levels of health inequalities indicate that adolescents from families with a low SES do not benefit to the same extent from disease prevention and health promotion measures for children and adolescents as young people from families with a higher SES.

Indexed as

CHILD AND ADOLESCENT HEALTHHEALTH INEQUALITIESSOCIOECONOMIC STATUSTREND ANALYSES

Identifiers

PMID35146241
PMCPMC8822245
OpenAlexW2942516951

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.