Evidence map›Paper›PMID 30552286›Full record

ArticleBMJ open2018

Born to be Wise: a population registry data linkage protocol to assess the impact of modifiable early-life environmental exposures on the health and development of children.

Matilda van den Bosch, Michael Brauer, Rick Burnett, Hugh W Davies, Zoe Davis, Martin Guhn, Ingrid Jarvis, Lorien Nesbitt, Tim Oberlander, Emily Rugel and 3 more

Abstract read
In one paragraph

Article in BMJ open, 2018. 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

13 authors.

Matilda van den BoschThe School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada.
Michael BrauerThe School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada.
Rick BurnettHC-SC, Health Canada, Ottawa, Ontario, Canada.
Hugh W DaviesThe School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada.
Zoe DavisThe School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada.
Martin GuhnThe School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada.
Ingrid JarvisThe School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada.
Lorien NesbittThe School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada.
Tim OberlanderThe School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada.
Emily RugelThe School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada.
Hind SbihiThe School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada.
Jason G SuDepartment of Statistics, University of California, Berkeley, California, USA.
Michael JerrettFielding School of Public Health, University of California, Los Angeles, California, USA.

Funding

CIHR 156152
6 · The paper itself

Abstract

introductionDeficiencies in childhood development is a major global issue and inequalities are large. The influence of environmental exposures on childhood development is currently insufficiently explored. This project will analyse the impact of various modifiable early life environmental exposures on different dimensions of childhood development.

methodsBorn to be Wise will study a Canadian cohort of approximately 34 000 children who have completed an early development test at the age of 5. Land use regression models of air pollution and spatially defined noise models will be linked to geocoded data on early development to analyse any harmful effects of these exposures. The potentially beneficial effect on early development of early life exposure to natural environments, as measured by fine-grained remote sensing data and various land use indexes, will also be explored. The project will use data linkages and analyse overall and age-specific impact, including variability depending on cumulative exposure by assigning time-weighted exposure estimates and by studying subsamples who have changed residence and exposure. Potentially moderating effects of natural environments on air pollution or noise exposures will be studied by mediation analyses. A matched case-control design will be applied to study moderating effects of natural environments on the association between low socioeconomic status and early development. The main statistical approach will be mixed effects models, applying a specific software to deal with multilevel random effects of nested data. Extensive confounding control will be achieved by including data on a range of detailed health and sociodemographic variables. ETHICS AND DISSEMINATION: The study protocol has been ethically approved by the Behavioural Research Ethics Board at the University of British Columbia. The findings will be published in peer-reviewed journals and presented at scholarly conferences. Through stakeholder engagement, the results will also reach policy and a broader audience.

Indexed as

Child DevelopmentChild HealthRegistriesAir PollutionCanadaChildEnvironmental ExposureFemaleHumansInformation Storage and RetrievalNoisePregnancyPrenatal Exposure Delayed Effectsair pollutionchildhood developmentearly life exposuregreen spacemixed effect modelsnoise

Identifiers

PMID30552286
PMCPMC6303566

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.