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Article: Association between Residential Greenness and Allostatic Load: A Cohort Study

TitleAssociation between Residential Greenness and Allostatic Load: A Cohort Study
Authors
Keywordsallostatic load
physical activity
residential greenness
UK Biobank
Issue Date4-Mar-2024
PublisherAmerican Chemical Society
Citation
Environmental Science and Technology, 2024 How to Cite?
Abstract

The association between residential greenness and allostatic load (AL), a marker of composite physiological burden and predictor of chronic disease, remains understudied. This study comprised 212,600 UK Biobank participants recruited over 2007 and 2010 at the baseline. Residential greenness was modeled as the normalized difference vegetation index (NDVI) from high spatial resolution (0.50 m) color infrared imagery and measured within a 0.5 km radial catchment. AL was measured as a composite index from 13 biomarkers comprising three physiological systems (metabolic, cardiovascular, and inflammatory systems) and two organ systems (liver and kidney). Multilevel mixed-effects generalized linear models with a random intercept for UK Biobank assessment centers were employed to examine the association between residential greenness and AL. Each interquartile range (IQR = 0.24) increment in NDVI greenness was associated with lower AL (beta (β) = −0.28, 95% confidence interval (CI) = −0.55, −0.01). Consistently, relative to the lowest NDVI greenness quintile, participants in the highest quintile had lower AL (β = −0.64, 95% CI = −1.02, −0.26). The proportion of the association between greenness and AL mediated by the physical activity was 3.2%. In conclusion, residential greenness was protectively associated with AL, a composite marker of wear and tear and general health.


Persistent Identifierhttp://hdl.handle.net/10722/341677
ISSN
2023 Impact Factor: 10.8
2023 SCImago Journal Rankings: 3.516
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLai, Ka Yan-
dc.contributor.authorKumari, Sarika-
dc.contributor.authorGallacher, John-
dc.contributor.authorWebster, Christopher John-
dc.contributor.authorSarkar, Chinmoy-
dc.date.accessioned2024-03-20T06:58:13Z-
dc.date.available2024-03-20T06:58:13Z-
dc.date.issued2024-03-04-
dc.identifier.citationEnvironmental Science and Technology, 2024-
dc.identifier.issn0013-936X-
dc.identifier.urihttp://hdl.handle.net/10722/341677-
dc.description.abstract<p>The association between residential greenness and allostatic load (AL), a marker of composite physiological burden and predictor of chronic disease, remains understudied. This study comprised 212,600 UK Biobank participants recruited over 2007 and 2010 at the baseline. Residential greenness was modeled as the normalized difference vegetation index (NDVI) from high spatial resolution (0.50 m) color infrared imagery and measured within a 0.5 km radial catchment. AL was measured as a composite index from 13 biomarkers comprising three physiological systems (metabolic, cardiovascular, and inflammatory systems) and two organ systems (liver and kidney). Multilevel mixed-effects generalized linear models with a random intercept for UK Biobank assessment centers were employed to examine the association between residential greenness and AL. Each interquartile range (IQR = 0.24) increment in NDVI greenness was associated with lower AL (beta (β) = −0.28, 95% confidence interval (CI) = −0.55, −0.01). Consistently, relative to the lowest NDVI greenness quintile, participants in the highest quintile had lower AL (β = −0.64, 95% CI = −1.02, −0.26). The proportion of the association between greenness and AL mediated by the physical activity was 3.2%. In conclusion, residential greenness was protectively associated with AL, a composite marker of wear and tear and general health.<br></p>-
dc.languageeng-
dc.publisherAmerican Chemical Society-
dc.relation.ispartofEnvironmental Science and Technology-
dc.subjectallostatic load-
dc.subjectphysical activity-
dc.subjectresidential greenness-
dc.subjectUK Biobank-
dc.titleAssociation between Residential Greenness and Allostatic Load: A Cohort Study-
dc.typeArticle-
dc.identifier.doi10.1021/acs.est.3c04792-
dc.identifier.scopuseid_2-s2.0-85186664548-
dc.identifier.eissn1520-5851-
dc.identifier.isiWOS:001179791000001-
dc.identifier.issnl0013-936X-

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