Evidence map›Paper›PMID 30684243›Full record

ReviewCurrent environmental health reports2019

Statistical Approaches for Investigating Periods of Susceptibility in Children's Environmental Health Research.

Jessie P Buckley, Ghassan B Hamra, Joseph M Braun

Abstract readReview
In one paragraph

Review in Current environmental health reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

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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

3 authors.

Jessie P BuckleyDepartment of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA. jessie.buckley@jhu.edu.
Ghassan B HamraDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA.
Joseph M BraunDepartment of Epidemiology, Brown University School of Public Health, Providence, RI, USA.

Funding

ECHODAC (Environmental Influences on Child Health Outcomes Data Analysis Center)U24OD023382 · OD · JOHNS HOPKINS UNIVERSITY · PI Diane J Catellier, LISA P JACOBSON · 2016 to 2026
$148.4M
The Developing Brain: Influences and OutcomesUH3OD023313 · OD · WOMEN AND INFANTS HOSPITAL-RHODE ISLAND · PI Viren Andrew D'Sa, Daphne Koinis Mitchell · 2018 to 2026
$20.7M
The Developing Brain: Influences and OutcomesUG3OD023313 · OD · UNIVERSITY OF COLORADO DENVER · PI D'SA, VIREN ANDREW, KOINIS MITCHELL, DAPHNE · 2016 to 2024
$11.6M
Early life perfluoroalkyl substance exposure & obesity: Mechanisms & phenotypingR01ES025214 · NIEHS · BROWN UNIVERSITY · PI BRAUN, JOSEPH M · 2016 to 2020
$3.1M
Maternal and Paternal Preconception Environmental Exposures and Children's HealthR01ES027408 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI BRAUN, JOSEPH M, HAUSER, RUSS B · 2018 to 2022
$3.0M
Endocrine Disrupting Chemicals, Thyroid Hormones, and Child NeurobehaviorR01ES024381 · NIEHS · BROWN UNIVERSITY · PI BRAUN, JOSEPH M · 2015 to 2018
$2.4M
NIEHS NIH HHS R01 ES024381NIEHS NIH HHS R01 ES025214NIEHS NIH HHS R01 ES027408NIH HHS U24 OD023382NIH HHS UG3 OD023313NIH HHS UH3 OD023313
6 · The paper itself

Abstract

purpose of reviewChildren's environmental health researchers are increasingly interested in identifying time intervals during which individuals are most susceptible to adverse impacts of environmental exposures. We review recent advances in methods for assessing susceptible periods. RECENT

findingsWe identified three general classes of modeling approaches aimed at identifying susceptible periods in children's environmental health research: multiple informant models, distributed lag models, and Bayesian approaches. Benefits over traditional regression modeling include the ability to formally test period effect differences, to incorporate highly time-resolved exposure data, or to address correlation among exposure periods or exposure mixtures. Several statistical approaches exist for investigating periods of susceptibility. Assessment of susceptible periods would be advanced by additional basic biological research, further development of statistical methods to assess susceptibility to complex exposure mixtures, validation studies evaluating model assumptions, replication studies in different populations, and consideration of susceptible periods from before conception to disease onset.

Indexed as

Child HealthEnvironmental HealthModels, BiologicalBayes TheoremChildEnvironmental ExposureHumansModels, StatisticalChildren’s healthCritical windowsEnvironmental epidemiologyStatistical methodsSusceptibilityVulnerability

Identifiers

PMID30684243
PMCPMC6420841

What OpenQuestion holds

Textmetadata
LicenceTDM
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.