Evidence map›Paper›PMID 31978731›Full record

ArticleInternational journal of hygiene and environmental health2020

Disparities in exposure to surrounding greenness related to proportion of the population that were immigrants to the United States.

Kelvin C Fong, Neil K Mehta, Michelle L Bell

Abstract read
In one paragraph

Article in International journal of hygiene and environmental health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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.

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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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

3 authors.

Kelvin C FongSchool of Forestry & Environmental Studies, Yale University, USA. Electronic address: kelvin.fong@yale.edu.
Neil K MehtaDepartment of Health Management and Policy, School of Public Health, University of Michigan, USA.
Michelle L BellSchool of Forestry & Environmental Studies, Yale University, USA.

Funding

Environmental Health Disparities in an Older PopulationR01MD012769 · NIMHD · YALE UNIVERSITY · PI BELL, MICHELLE L · 2017 to 2021
$3.9M
EPA R835871NIMHD NIH HHS R01 MD012769
6 · The paper itself

Abstract

The proportion of the United States (US) population who are immigrants (i.e., foreign-born) has been rising. Compared to the US-born, immigrants have different health risks, and prior studies could not fully explain these differences by diet and socioeconomic status. Surrounding greenness, an environmental exposure linked to better health, potentially contributes to differences in health risks between immigrants and the US-born. Using satellite imagery, we assessed exposure to surrounding greenness, as estimated by the normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI), in US Census tracts in 2000 and 2010. We then investigated the association between the percentage of the population that were immigrants and greenness using spatial error regression. Adjusted for median household income, urbanicity, educational attainment, unemployment, elderly and youth population proportion, and ecozone, Census tracts with ~10% higher overall immigrant percentage points were, on average, ~0.06 NDVI/EVI interquartile range lower, indicating lower greenness. The pattern of negative associations was most consistent when the immigrant country of origin was in Latin America. Conversely, when the immigrant country of origin was in Europe, we found mostly positive associations. Our findings suggest an environmental exposure disparity by immigrant status, motivating future work on environmental contributions to health disparities between immigrants and the US-born.

Indexed as

AdolescentAgedEmigrants and ImmigrantsEnvironmentEnvironmental ExposureEuropeFemaleHumansIncomeMaleResidence CharacteristicsSocial ClassSocioeconomic FactorsUnited StatesEnvironmental disparityGreen spaceImmigrant healthNormalized difference vegetation indexSpatial regressionSurrounding greenness

Identifiers

PMID31978731
PMCPMC6992482

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Registered trials

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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.