ArticleEnvironmental health : a global access science source2026
Spatial variation of asthma rates in Los Angeles County by environmental and socioeconomic indicators.
Article in Environmental health : a global access science source, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAsthma is a chronic lung disease affecting nearly 1.2 million people in Los Angeles (LA) County. Asthma can be triggered and worsened by environmental pollutants. Exposure to oil/gas well operations, environmental contamination, and other forms of environmental degradation have been linked with poorer respiratory outcomes.
methodsWe used Generalized Additive Models (GAMs) with a bivariate smooth of location and Quasipoisson framework to examine the relationship between location and asthma emergency department visitation (EDV) rates for census tracts in LA County (n = 2106). Using CalEnviroScreen scores, we predicted and mapped the rates after adjustment for environmental exposures and socioeconomic factors to determine if observed spatial patterns in asthma EDV could be explained by these known characteristics. Permutation tests were conducted to identify areas of elevated asthma EDV rates. We also calculated rate ratios (RR) and 95% confidence intervals for the indicators.
resultsThe rate of asthma EDVs was highest to the north of the major shipping ports in the county. Per interquartile range increase, poverty (RR: 1.29 [1.26–1.32]), percent of the population unemployed (RR: 1.02 [1.00–1.03], and solid waste site scores (RR: 1.01 [1.00–1.02]), were associated with higher asthma EDV rates. Poverty contributed the most to the observed spatial variation in asthma EDV.
conclusionThese findings can motivate future research to investigate spatial variation in asthma using higher resolution individual-level data, especially in the identified areas of elevated risk in LA County. Solid waste exposure indicators, poverty level, and unemployment explained some of the spatial variation of asthma EDV rates. Closer investigations in these geographic areas can help us better understand the disparities in exposure and risk.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.