Evidence map›Paper›PMID 38264534›Full record

ArticleGeoHealth2024

Greenspace and Land Cover Diversity During Pregnancy in a Rural Region, and Associations With Birth Outcomes.

Jonathan W Chipman, Xun Shi, Diane Gilbert-Diamond, Camilo Khatchikian, Emily R Baker, Mark Nieuwenhuijsen, Margaret R Karagas

Abstract read
In one paragraph

Article in GeoHealth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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.

Jonathan W ChipmanDepartment of Geography Dartmouth College Hanover NH USA.ORCID https://orcid.org/0000-0003-4629-5273
Xun ShiDepartment of Geography Dartmouth College Hanover NH USA.
Diane Gilbert-DiamondDepartment of Epidemiology Geisel School of Medicine at Dartmouth Lebanon NH USA.
Camilo KhatchikianDepartment of Epidemiology Geisel School of Medicine at Dartmouth Lebanon NH USA.
Emily R BakerDepartment of Obstetrics and Gynecology Dartmouth Hitchcock Medical Center Lebanon NH USA.
Mark NieuwenhuijsenCentre for Research in Environmental Epidemiology ISGlobal Barcelona Spain.
Margaret R KaragasDepartment of Epidemiology Geisel School of Medicine at Dartmouth Lebanon NH USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Beneficial effects on health outcomes have been observed from exposure to spaces with substantial green vegetation ("greenspace"). This includes studies of greenspace exposure on birth outcomes; however, these have been conducted largely in urban regions. We characterized residential exposure to greenspace and land cover diversity during pregnancy in rural northern New England, USA, investigating whether variation in greenspace or diversity related to newborn outcomes. Five landscape variables (greenspace land cover, land cover diversity, impervious surface area, tree canopy cover, and the Normalized Difference Vegetation Index) were aggregated within six circular zones of radii from 100 to 3,000 m around residential addresses, and distance to conservation land was measured, providing a total of 31 greenspace and diversity metrics. Four birth outcomes along with potentially confounding variables were obtained from 1,440 participants in the New Hampshire Birth Cohort Study. Higher greenspace land cover up to 3,000 m was associated with larger newborn head circumference, while impervious surface area (non-greenspace) had the opposite association. Further, birth length was positively associated with land cover diversity. These findings support beneficial health impacts of greenspace exposure observed in urban regions for certain health outcomes, such as newborn head circumference and length but not others such as birthweight and gestational age. Further our results indicate that larger radius buffer zones may be needed to characterize the rural landscape. Vegetation indices may not be interchangeable with other greenspace metrics such as land cover and impervious surface area in rural landscapes.

Identifiers

PMID38264534
PMCPMC10804422

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.