36
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Greenness and Birth Outcomes in a Range of Pennsylvania Communities

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          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.

          Related collections

          Most cited references49

          • Record: found
          • Abstract: not found
          • Article: not found

          Robust Inference With Multiway Clustering

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            A Review of the Health Benefits of Greenness.

            Researchers are increasingly exploring how neighborhood greenness, or vegetation, may affect health behaviors and outcomes. Greenness may influence health by promoting physical activity and social contact; decreasing stress; and mitigating air pollution, noise, and heat exposure. Greenness is generally measured using satellite-based vegetation indices or land-use databases linked to participants' addresses. In this review, we found fairly strong evidence for a positive association between greenness and physical activity, and a less consistent negative association between greenness and body weight. Research suggests greenness is protective against adverse mental health outcomes, cardiovascular disease, and mortality, though most studies were limited by cross-sectional or ecological design. There is consistent evidence that greenness exposure during pregnancy is positively associated with birth weight, though findings for other birth outcomes are less conclusive. Future research should follow subjects prospectively, differentiate between greenness quantity and quality, and identify mediators and effect modifiers of greenness-health associations.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Adapting Cities for Climate Change: The Role of the Green Infrastructure

                Bookmark

                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                11 March 2016
                March 2016
                : 13
                : 3
                : 311
                Affiliations
                [1 ]Robert Wood Johnson Foundation Health and Society Scholars Program, UC San Francisco and UC Berkeley, CA 94704, USA; Kara.Rudolph@ 123456ucsf.edu
                [2 ]Departments of Epidemiology and Environmental Health, Harvard TH Chan School of Public Health, Boston, MA 02215, USA; pjames@ 123456hsph.harvard.edu
                [3 ]Department of Forestry and Natural Resources, National Chiayi University, Chiayi City 60004, Taiwan; wu@ 123456hsph.harvard.edu
                [4 ]Departments of Environmental Health Sciences and Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA; bschwar1@ 123456jhu.edu
                [5 ]Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
                [6 ]Center for Health Research, Geisinger Health System, Danville, PA 17822, USA
                Author notes
                [* ]Correspondence: joanacasey@ 123456berkeley.edu ; Tel.: +1-541-760-8477
                Article
                ijerph-13-00311
                10.3390/ijerph13030311
                4808974
                26978381
                49c910b4-fabf-467b-948e-1c564ee02aa2
                © 2016 by the authors; licensee MDPI, Basel, Switzerland.

                This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 26 January 2016
                : 04 March 2016
                Categories
                Article

                Public health
                greenness,pregnancy outcome,preterm birth,low birth weight,small for gestational age,propensity score,machine learning

                Comments

                Comment on this article