Evidence map›Paper›PMID 29988356›Full record

ArticleArchives of public health = Archives belges de sante publique2018

Environmental health surveillance in a future European health information system.

Anke Joas, Miriam Schöpel, Madlen David, Maribel Casas, Gudrun Koppen, Marta Esteban, Lisbeth E Knudsen, Martine Vrijheid, Greet Schoeters, Argelia Castaño Calvo and 3 more

Open access · goldAbstract read
In one paragraph

Article in Archives of public health = Archives belges de sante publique, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

8 citing papers in PubMed, 9 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 6 institutions in 4 countries.

Anke JoasBiPRO GmbH, Werinherstr. 79, 81541 Munich, Germany.ORCID 0000-0003-0902-2700
Miriam SchöpelBiPRO GmbH, Werinherstr. 79, 81541 Munich, Germany.
Madlen DavidGerman Environment Agency, Berlin, Germany.
Maribel Casas5ISGlobal, Barcelona, Spain.
Gudrun Koppen3Flemish Institute for Technological Research, Mol, Belgium.
Marta Esteban4CNSA - ISCIII, National Centre for Environmental Health, Instituto de Salud Carlos III, Madrid, Spain.
Lisbeth E Knudsen8University of Copenhagen, Copenhagen, Denmark.
Martine Vrijheid5ISGlobal, Barcelona, Spain.
Greet Schoeters3Flemish Institute for Technological Research, Mol, Belgium.
Argelia Castaño Calvo4CNSA - ISCIII, National Centre for Environmental Health, Instituto de Salud Carlos III, Madrid, Spain.
Gerda SchwedlerGerman Environment Agency, Berlin, Germany.
Marike Kolossa-GehringGerman Environment Agency, Berlin, Germany.
Reinhard JoasBiPRO GmbH, Werinherstr. 79, 81541 Munich, Germany.
BMW (Germany) · DEGerman Environment Agency · DEFlemish Institute for Technological Research · BEInstituto de Salud Carlos III · ESUniversitat Pompeu Fabra · ESUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo date Health information (HI) in the European Union does not comprise indicators or other information related to impacts of hazardous chemicals in consumer products, food, drinking water or air on the health status of the population. Therefore, we inventorised and evaluated the potential of environmental health surveillance and research data sources in the European population to provide HBM-based indicators of internal human exposure and health impact of relevant chemicals.

methodsWe established an up-dated inventory of European cross-sectional Human Biomonitoring (HBM) surveys and of birth cohorts, and compared chemicals and chemical groups addressed by HBM with indicators and health end points collected via European Core Health Indicators (ECHI), in birth registries, as well as in environmental and food data bases and health registries to see on how data collection could be aligned. Finally, we investigated study designs of HBM survey and health examination surveys for potential synergies.

resultsThe inventory covers a total of 11 European cross-sectional national programmes and a large number of birth cohorts and includes information on study population, age groups, covered substances, sampled matrices, and frequency. The comparison of data collections shows that there are many overlaps between environmental chemicals with environmental and health reporting. HBM data could be linked with ECHI indicators for work-related risks, body mass index (BMI), and low birth weight, with perinatal disease, neurologic disorders, and some chronic diseases, or with data bases for e.g. indoor air, food, or consumer products. Existing initiatives to link data collections at European Environment Agency (EEA) and Joint Research Center (JRC) or at World Health Organization (WHO) are good options to further develop linkage of HBM with exposures sources and health end points.

conclusionsThere is potential to use HBM based information in a number of public health policies, and this would help to align reporting to international commitments. Environmental health surveillance based on HBM and HBM-based indicators, is an excellent tool to inform public health policies about risks from environmental chemicals, and the EU health information system would benefit from additional HBM-based indicators for monitoring exposure burden from environmental chemicals. Considerable efforts are needed to align and establish routine data collections and to develop a surveillance system and indicators which may inform public health policies.

Indexed as

Birth cohortsChemical contaminantsEnvironmental healthHBMHealth informationHES

Identifiers

PMID29988356
PMCPMC6022511
OpenAlexW2806336236

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.