Evidence map›Paper›PMID 30844571›Full record

ArticleEnvironmental research2019

The utility of a system dynamics approach for understanding cumulative health risk from exposure to environmental hazards.

John D Prochaska, Hyunjung Kim, Robert N Buschmann, Daniel Jupiter, Sharon Croisant, Stephen H Linder, Ken Sexton

Abstract read
In one paragraph

Article in Environmental research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

John D ProchaskaDepartment of Preventive Medicine & Community Health, University of Texas Medical Branch, 301 University Blvd. Route 1153, Galveston, TX 77555-1153, USA; Center in Environmental Toxicology, University of Texas Medical Branch, Galveston, TX, USA. Electronic address: joprocha@utmb.edu.
Hyunjung KimDepartment of Management, California State University, Chico, CA, USA.
Robert N BuschmannDepartment of Preventive Medicine & Community Health, University of Texas Medical Branch, 301 University Blvd. Route 1153, Galveston, TX 77555-1153, USA.
Daniel JupiterDepartment of Preventive Medicine & Community Health, University of Texas Medical Branch, 301 University Blvd. Route 1153, Galveston, TX 77555-1153, USA; Office of Biostatistics, University of Texas Medical Branch, Galveston, TX, USA.
Sharon CroisantDepartment of Preventive Medicine & Community Health, University of Texas Medical Branch, 301 University Blvd. Route 1153, Galveston, TX 77555-1153, USA; Center in Environmental Toxicology, University of Texas Medical Branch, Galveston, TX, USA.
Stephen H LinderDepartment of Management, Policy and Community Health, University of Texas Health Science Center Houston School of Public Health, Houston, TX, USA.
Ken SextonDepartment of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas, Health Science Center, School of Public Health, Houston, TX, USA.

Funding

Synthetic Organic Chemistry CoreP30ES006676 · NIEHS · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI ELFERINK, CORNELIS JOHAN · 1995 to 2017
$21.7M
NIEHS NIH HHS P30 ES006676NIMHD NIH HHS L60 MD009841
6 · The paper itself

Abstract

The potential of system dynamics modeling to advance our understanding of cumulative risk in the service of optimal health is discussed. The focus is on exploring system dynamics modeling as a systems science methodology that can provide a framework for examining the complexity of real-world social and environmental exposures among populations-particularly those exposed to multiple disparate sources of risk. The discussion also examines how system dynamics modeling can engage a diverse body of key stakeholders throughout the modeling process, promoting the collective assessment of assumptions and systematic gathering of critical data. Though not a panacea, system dynamics modeling provides a promising methodology to complement traditional research methods in understanding cumulative health effects from exposure to multiple environmental and social stressors.

Indexed as

Environmental ExposureRisk Assessment

Identifiers

PMID30844571
PMCPMC6755670

What OpenQuestion holds

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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.