Evidence map›Paper›PMID 38560559›Full record

ArticleGeoHealth2024

Measuring Greenspace in Rural Areas for Studies of Birth Outcomes: A Comparison of Street View Data and Satellite Data.

Xun Shi, Fan Zhang, Jonathan W Chipman, Meifang Li, Camilo Khatchikian, 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 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

6 authors.

Xun ShiDepartment of Geography Dartmouth College Hanover NH USA.ORCID https://orcid.org/0000-0002-7169-5175
Fan ZhangSchool of Earth and Space Sciences Institute of Remote Sensing and Geographical Information System Peking University Beijing China.
Jonathan W ChipmanDepartment of Geography Dartmouth College Hanover NH USA.ORCID https://orcid.org/0000-0003-4629-5273
Meifang LiDepartment of Geography Dartmouth College Hanover NH USA.
Camilo KhatchikianDepartment of Epidemiology Geisel School of Medicine at Dartmouth Lebanon NH USA.
Margaret R KaragasDepartment of Epidemiology Geisel School of Medicine at Dartmouth Lebanon NH USA.ORCID https://orcid.org/0000-0002-6398-7362

Funding

A prospective study of critical environmental exposures in formative early life that impact lifelong health in rural US children: the New Hampshire Birth Cohort StudyUG3OD023275 · OD · DARTMOUTH COLLEGE · PI KARAGAS, MARGARET RITA, MADAN, JULIETTE · 2016 to 2024
$17.9M
NIH HHS UG3 OD023275
6 · The paper itself

Abstract

Using street view data, in replace of remotely sensed (RS) data, to study the health impact of greenspace has become popular. However, direct comparisons of these two methods of measuring greenspace are still limited, and their findings are inconsistent. On the other hand, almost all studies of greenspace focus on urban areas. The effectiveness of greenspace in rural areas remains to be investigated. In this study, we compared measures of greenspace based on the Google Street View data with those based on RS data by calculating the correlation between the two and evaluating their associations with birth outcomes. Besides the direct measures of greenness, we also compared the measures of environmental diversity, calculated with the two types of data. Our study area consists of the States of New Hampshire and Vermont, USA, which are largely rural. Our results show that the correlations between the two types of greenness measures were weak to moderate, and the greenness at an eye-level view largely reflects the immediate surroundings. Neither the street view data- nor the RS data-based measures identify the influence of greenspace on birth outcomes in our rural study area. Interestingly, the environmental diversity was largely negatively associated with birth outcomes, particularly gestational age. Our study revealed that in rural areas, the effectiveness of greenspace and environmental diversity may be considerably different from that in urban areas.

Indexed as

birth outcomeschildren’s healthdiversitygreenspaceruralstreet view

Identifiers

PMID38560559
PMCPMC10975957

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.