Evidence map›Paper›PMID 33895778›Full record

ArticleJournal of exposure science & environmental epidemiology2022

A cross-sectional analysis of associations between environmental indices and asthma in U.S. counties from 2003 to 2012.

Patrick Hurbain, Yan Liu, Matthew J Strickland, Dingsheng Li

Abstract read
In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Patrick HurbainSchool of Community Health Sciences, University of Nevada, Reno, NV, USA.
Yan LiuSchool of Community Health Sciences, University of Nevada, Reno, NV, USA.
Matthew J StricklandSchool of Community Health Sciences, University of Nevada, Reno, NV, USA.
Dingsheng LiSchool of Community Health Sciences, University of Nevada, Reno, NV, USA. dingshengl@unr.edu.

Funding

Associations of smoke from wildfires and prescribed burns with cardiorespiratory health outcomes in Reno, NVR01ES029528 · NIEHS · UNIVERSITY OF NEVADA RENO · PI STRICKLAND, MATTHEW J. · 2019 to 2024
$2.9M
NIEHS NIH HHS R01 ES029528
6 · The paper itself

Abstract

backgroundTo capture the impacts of environmental stressors, environmental indices like the Air Quality Index, Toxic Release Inventory, and Environmental Quality Index have been used to investigate the environmental quality and its association with public health issues. However, past studies often rely on relatively small sample sizes, and they have typically not adjusted for important individual-level disease risk factors.

objectiveWe aim to estimate associations between existing environmental indices and asthma prevalence over a large population and multiple years.

methodsBased on data availability, we assessed the predictive capability of these indices for prevalent asthma across U.S. counties from 2003 to 2012. We gathered asthma data from the U.S. CDC Behavioral Risk Factor Surveillance System by county and used multivariable weighted logistic regression models to estimate the associations between the environmental indices and asthma, adjusting for individual factors such as smoking, income level, and obesity.

resultsEnvironmental indices showed little to no correlation with one another and with prevalent asthma over time. Associations of environmental indices with prevalent asthma were very weak; whereas individual factors were more substantially associated with prevalent asthma. SIGNIFICANCE: Our study suggests that an improved environmental index is needed to predict population-level asthma prevalence.

Indexed as

Air PollutionAsthmaCross-Sectional StudiesHumansPrevalenceSmokingAir pollutionAsthmaCross-sectional studyEnvironmental index

Identifiers

PMID33895778
PMCPMC8542056

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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.