Greenness and birth outcomes in a range of Pennsylvania communities

Joan A. Casey, Peter James, Kara Rudolph, Chih Da Wu, Brian S. Schwartz

Research output: Contribution to journalArticle

34 Citations (Scopus)

Abstract

Living in communities with more vegetation during pregnancy has been associated with higher birth weights, but fewer studies have evaluated other birth outcomes, and only one has been conducted in the Eastern United States, in regions with a broad range, including high levels, of greenness. We evaluated associations between prenatal residential greenness and birth outcomes (term birth weight, small for gestational age, preterm birth, and low 5 min Apgar score) across a range of community types using electronic health record data from 2006–2013 from the Geisinger Health System in Pennsylvania. We assigned greenness based on mother’s geocoded address using the normalized difference vegetation index from satellite imagery. We used propensity scores to restrict the study population to comparable groups among those living in green vs. less-green areas. Analyses were adjusted for demographic, clinical, and environmental covariates, and stratified by community type (city, borough, and township). In cities, higher greenness (tertiles 2–3 vs. 1) was protective for both preterm (OR = 0.78, 95% CI: 0.61–0.99) and small for gestational age birth (OR = 0.73, 95% CI: 0.58–0.97), but not birth weight or Apgar score. We did not observe associations between greenness and birth outcomes in adjusted models in boroughs or townships. These results add to the evidence that greener cities might be healthier cities.

Original languageEnglish (US)
Article number311
JournalInternational Journal of Environmental Research and Public Health
Volume13
Issue number3
DOIs
StatePublished - Mar 11 2016
Externally publishedYes

Fingerprint

Birth Weight
Parturition
Apgar Score
Gestational Age
Satellite Imagery
Geographic Mapping
Term Birth
Propensity Score
Electronic Health Records
Premature Birth
Demography
Pregnancy
Health
Population

Keywords

  • Greenness
  • Low birth weight
  • Machine learning
  • Pregnancy outcome
  • Preterm birth
  • Propensity score
  • Small for gestational age

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health
  • Health, Toxicology and Mutagenesis

Cite this

Greenness and birth outcomes in a range of Pennsylvania communities. / Casey, Joan A.; James, Peter; Rudolph, Kara; Wu, Chih Da; Schwartz, Brian S.

In: International Journal of Environmental Research and Public Health, Vol. 13, No. 3, 311, 11.03.2016.

Research output: Contribution to journalArticle

@article{a3819cfe820549cbb118df5acebcdf2c,
title = "Greenness and birth outcomes in a range of Pennsylvania communities",
abstract = "Living in communities with more vegetation during pregnancy has been associated with higher birth weights, but fewer studies have evaluated other birth outcomes, and only one has been conducted in the Eastern United States, in regions with a broad range, including high levels, of greenness. We evaluated associations between prenatal residential greenness and birth outcomes (term birth weight, small for gestational age, preterm birth, and low 5 min Apgar score) across a range of community types using electronic health record data from 2006–2013 from the Geisinger Health System in Pennsylvania. We assigned greenness based on mother’s geocoded address using the normalized difference vegetation index from satellite imagery. We used propensity scores to restrict the study population to comparable groups among those living in green vs. less-green areas. Analyses were adjusted for demographic, clinical, and environmental covariates, and stratified by community type (city, borough, and township). In cities, higher greenness (tertiles 2–3 vs. 1) was protective for both preterm (OR = 0.78, 95{\%} CI: 0.61–0.99) and small for gestational age birth (OR = 0.73, 95{\%} CI: 0.58–0.97), but not birth weight or Apgar score. We did not observe associations between greenness and birth outcomes in adjusted models in boroughs or townships. These results add to the evidence that greener cities might be healthier cities.",
keywords = "Greenness, Low birth weight, Machine learning, Pregnancy outcome, Preterm birth, Propensity score, Small for gestational age",
author = "Casey, {Joan A.} and Peter James and Kara Rudolph and Wu, {Chih Da} and Schwartz, {Brian S.}",
year = "2016",
month = "3",
day = "11",
doi = "10.3390/ijerph13030311",
language = "English (US)",
volume = "13",
journal = "International Journal of Environmental Research and Public Health",
issn = "1661-7827",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "3",

}

TY - JOUR

T1 - Greenness and birth outcomes in a range of Pennsylvania communities

AU - Casey, Joan A.

AU - James, Peter

AU - Rudolph, Kara

AU - Wu, Chih Da

AU - Schwartz, Brian S.

PY - 2016/3/11

Y1 - 2016/3/11

N2 - Living in communities with more vegetation during pregnancy has been associated with higher birth weights, but fewer studies have evaluated other birth outcomes, and only one has been conducted in the Eastern United States, in regions with a broad range, including high levels, of greenness. We evaluated associations between prenatal residential greenness and birth outcomes (term birth weight, small for gestational age, preterm birth, and low 5 min Apgar score) across a range of community types using electronic health record data from 2006–2013 from the Geisinger Health System in Pennsylvania. We assigned greenness based on mother’s geocoded address using the normalized difference vegetation index from satellite imagery. We used propensity scores to restrict the study population to comparable groups among those living in green vs. less-green areas. Analyses were adjusted for demographic, clinical, and environmental covariates, and stratified by community type (city, borough, and township). In cities, higher greenness (tertiles 2–3 vs. 1) was protective for both preterm (OR = 0.78, 95% CI: 0.61–0.99) and small for gestational age birth (OR = 0.73, 95% CI: 0.58–0.97), but not birth weight or Apgar score. We did not observe associations between greenness and birth outcomes in adjusted models in boroughs or townships. These results add to the evidence that greener cities might be healthier cities.

AB - Living in communities with more vegetation during pregnancy has been associated with higher birth weights, but fewer studies have evaluated other birth outcomes, and only one has been conducted in the Eastern United States, in regions with a broad range, including high levels, of greenness. We evaluated associations between prenatal residential greenness and birth outcomes (term birth weight, small for gestational age, preterm birth, and low 5 min Apgar score) across a range of community types using electronic health record data from 2006–2013 from the Geisinger Health System in Pennsylvania. We assigned greenness based on mother’s geocoded address using the normalized difference vegetation index from satellite imagery. We used propensity scores to restrict the study population to comparable groups among those living in green vs. less-green areas. Analyses were adjusted for demographic, clinical, and environmental covariates, and stratified by community type (city, borough, and township). In cities, higher greenness (tertiles 2–3 vs. 1) was protective for both preterm (OR = 0.78, 95% CI: 0.61–0.99) and small for gestational age birth (OR = 0.73, 95% CI: 0.58–0.97), but not birth weight or Apgar score. We did not observe associations between greenness and birth outcomes in adjusted models in boroughs or townships. These results add to the evidence that greener cities might be healthier cities.

KW - Greenness

KW - Low birth weight

KW - Machine learning

KW - Pregnancy outcome

KW - Preterm birth

KW - Propensity score

KW - Small for gestational age

UR - http://www.scopus.com/inward/record.url?scp=84960411061&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84960411061&partnerID=8YFLogxK

U2 - 10.3390/ijerph13030311

DO - 10.3390/ijerph13030311

M3 - Article

VL - 13

JO - International Journal of Environmental Research and Public Health

JF - International Journal of Environmental Research and Public Health

SN - 1661-7827

IS - 3

M1 - 311

ER -