Evidence map›Paper›PMID 28735150›Full record

ArticleEnvironment international2017

Inverse relationship between urban green space and childhood autism in California elementary school districts.

Jianyong Wu, Laura Jackson

Open access · greenAbstract read
In one paragraph

Article in Environment international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
2.5field-weighted citation impact, top 12% of its field
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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it, 69 citations in OpenAlex.

  1. Pooled it
  2. Green Space Quality and Health: A Systematic Review.International journal of environmental research and public health · 2021
    Pooled it
  3. Impact of Green Space Exposure on Children's and Adolescents' Mental Health: A Systematic Review.International journal of environmental research and public health · 2018
    Pooled it
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Mapping associations of polygenic scores with autistic and ADHD traits in a single city region.Journal of child psychology and psychiatry, and allied disciplines · 2025
    Article
  10. Article
  11. Article
  12. The Impact of the Urban Built Environment on the Play Behavior of Children with ASD.International journal of environmental research and public health · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Associations between Nature Exposure and Health: A Review of the Evidence.International journal of environmental research and public health · 2021
    Review
  18. Article
  19. Urban Trees and Human Health: A Scoping Review.International journal of environmental research and public health · 2020
    Article
  20. 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

2 authors at 2 institutions in 1 country.

Jianyong WuOak Ridge Institute for Science and Education, US EPA, Office of Research and Development, Research Triangle Park, Durham, NC 27711, USA. Electronic address: w_jianyong@hotmail.com.
Laura JacksonUS EPA, Office of Research and Development, National Health and Environmental Effects Research Laboratory, Research Triangle Park, Durham, NC, USA, 27711. Electronic address: Jackson.Laura@epa.gov.
Environmental Protection Agency · USResearch Triangle Park Foundation · US

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Green space has a variety of health benefits. However, little is known about its impact on autism, the fastest-growing neurodevelopmental disorder in children. This study examined the relationship between green space and childhood autism prevalence. Autism count data in 2010 were obtained for 543 of ~560 public elementary school districts in California. Multiple types of green space were measured in each school district, including percentages of forest, grassland, and average tree canopy and near-road tree canopy. Their associations with autism prevalence were evaluated with negative binomial regression models and spatial regression models. We observed inverse associations between several green space metrics and autism prevalence in school districts with high road density, the highly urbanized areas, but not in others. According to negative binomial regression models, adjusted rate ratios (RR) for the relationships in these school districts between autism prevalence and green space metrics in 10% increments were as follows: for forest, RR=0.90 (95% confidence interval [CI]: 0.84-0.95); for grassland, RR=0.90 (95% CI: 0.83-0.97); for average tree canopy, RR=0.89 (95% CI: 0.83-0.95), and for near-road tree canopy, RR=0.81 (95% CI: 0.73-0.91). These results suggest that increases of 10% in forest, grassland, average tree canopy and near-road tree canopy are associated with a decrease in autism prevalence of 10%, 10% 11% and 19%, respectively. In contrast, urban land and road density were positively associated with autism prevalence. The results of spatial regression models were consistent with those obtained by negative binomial models, except for grassland. Our study suggests that green space, specifically tree cover in areas with high road density, may influence autism prevalence in elementary school children beneficially. Further studies are needed to investigate a potential causal relationship, and the major mechanisms that may underlie the beneficial associations with green space, such as buffering traffic-related air pollution and noise.

Indexed as

TreesUrbanizationAutistic DisorderCaliforniaChildChild, PreschoolFemaleForestsHumansMaleModels, StatisticalPoaceaePrevalenceSchoolsAir pollutionAutism spectrum disorderGreennessNear-road tree canopySchool children

Identifiers

PMID28735150
PMCPMC6104398
OpenAlexW2738964510

What OpenQuestion holds

Textmetadata
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.