Arid
DOI10.1016/j.envres.2020.109176
How do natural features in the residential environment influence women's self-reported general health? Results from cross-sectional analyses of a US national cohort
Tsai, Wei-Lun1; Silva, Raquel A.1,5; Nash, Maliha S.2; Cochran, Ferdouz, V1,6; Prince, Steven E.1; Rosenbaum, Daniel J.1; D'; Aloisio, Aimee A.3; Jackson, Laura E.1; Mehaffey, Megan H.1; Neale, Anne C.1; Sandler, Dale P.4; Buckley, Timothy J.1
通讯作者Buckley, Timothy J.
来源期刊ENVIRONMENTAL RESEARCH
ISSN0013-9351
EISSN1096-0953
出版年2020
卷号183
英文摘要Background: The relationship between health and human interaction with nature is complex. Here we conduct analyses to provide insights into potential health benefits related to residential proximity to nature. Objectives: We aimed to examine associations between measures of residential nature and self-reported general health (SRGH), and to explore mediation roles of behavioral, social, and air quality factors, and variations in these relationships by urbanicity and regional climate. Methods: Using residential addresses for 41,127 women from the Sister Study, a U.S.-based national cohort, we derived two nature exposure metrics, canopy and non-gray cover, using Percent Tree Canopy and Percent Developed Imperviousness from the National Land Cover Database. Residential circular buffers of 250 m and 1250 m were considered. Gradient boosted regression trees were used to model the effects of nature exposure on the odds of reporting better SRGH (Excellent/Very Good versus the referent, Good/Fair/Poor). Analyses stratified by urbanicity and regional climate (arid, continental, temperate) and mediation by physical activity, social support, and air quality were conducted. Results: A 10% increase in canopy and non-gray cover within 1250 m buffer was associated with 1.02 (95% CI: 1.00-1.03) and 1.03 (95% CI: 1.01-1.04) times the odds of reporting better SRGH, respectively. Stronger associations were observed for the urban group and for continental climate relative to other strata. Social support and physical activity played a more significant mediation role than air quality for the full study population. Discussion: Findings from this study identified a small but important beneficial association between residential nature and general health. These findings could inform community planning and investments in neighborhood nature for targeted health improvements and potential societal and environmental co-benefits.
英文关键词Greenspace Ecosystem services Eco-health Climate Tree canopy Developed impervious Physical activity Social support Air quality
类型Article
语种英语
国家USA
开放获取类型Green Accepted
收录类别SCI-E ; SSCI
WOS记录号WOS:000526177500049
WOS关键词LAND-COVER DATABASE ; CONTERMINOUS UNITED-STATES ; NEIGHBORHOOD GREEN SPACE ; MENTAL-HEALTH ; RATED HEALTH ; PHYSICAL-ACTIVITY ; AIR-POLLUTION ; SOCIAL SUPPORT ; PUBLIC-HEALTH ; TREE CANOPY
WOS类目Environmental Sciences ; Public, Environmental & Occupational Health
WOS研究方向Environmental Sciences & Ecology ; Public, Environmental & Occupational Health
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/314446
作者单位1.US EPA, Off Res & Dev, Res Triangle Pk, NC 27711 USA;
2.US EPA, Off Res & Dev, Newport, OR USA;
3.Social & Sci Syst, Durham, NC USA;
4.NIEHS, POB 12233, Res Triangle Pk, NC 27709 USA;
5.ICF, Durham, NC USA;
6.Univ N Carolina, Dept Geog, CISA, Chapel Hill, NC 27515 USA
推荐引用方式
GB/T 7714
Tsai, Wei-Lun,Silva, Raquel A.,Nash, Maliha S.,et al. How do natural features in the residential environment influence women's self-reported general health? Results from cross-sectional analyses of a US national cohort[J],2020,183.
APA Tsai, Wei-Lun.,Silva, Raquel A..,Nash, Maliha S..,Cochran, Ferdouz, V.,Prince, Steven E..,...&Buckley, Timothy J..(2020).How do natural features in the residential environment influence women's self-reported general health? Results from cross-sectional analyses of a US national cohort.ENVIRONMENTAL RESEARCH,183.
MLA Tsai, Wei-Lun,et al."How do natural features in the residential environment influence women's self-reported general health? Results from cross-sectional analyses of a US national cohort".ENVIRONMENTAL RESEARCH 183(2020).
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