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树木覆盖的结构特征与佛罗里达州坦帕市心血管和呼吸健康的关联。

Structural Characteristics of Tree Cover and the Association with Cardiovascular and Respiratory Health in Tampa, FL.

机构信息

Southern Research Station, USDA Forest Service, Athens, GA, USA.

School of the Environment, Florida Agricultural and Mechanical University, FSH Science Research Bldg, 1515 South Martin Luther King Jr. Blvd, Tallahassee, FL, 32307, USA.

出版信息

J Urban Health. 2019 Oct;96(5):669-681. doi: 10.1007/s11524-019-00380-2.

Abstract

Urban tree cover can provide several ecological and public health benefits. Secondary datasets for Tampa, FL, including sociodemographic variables (e.g., race/ethnicity), health data, and interpolated values for features of tree cover (e.g., percent canopy and leaf area index) were analyzed using correlation and regression. Percent canopy cover and leaf area index were inversely correlated to respiratory and cardiovascular outcomes, yet only leaf area index displayed a significant association with respiratory conditions in the logistic regression model. Percent racial/ethnic minority residents at the block group level was significantly negatively correlated with median income and tree density. Leaf area index was also significantly lower in block groups with more African-American residents. The percentage of African Americans (p = 0.101) and Hispanics (p < 0.001) were positively associated with respiratory outcomes while population density (p < 0.001), percent canopy (p < 0.01), and leaf area index (p < 0.01) were negatively associated. In multivariate models, higher tree density, leaf area index, and median income were significantly negatively associated with respiratory cases. Block groups with a higher proportion of African Americans had a higher odds of displaying respiratory admissions above the median rate. Tree density and median income were also negatively associated with cardiovascular cases. Home ownership and tree condition were significantly positively associated with cardiovascular cases.

摘要

城市树木覆盖可以提供多种生态和公共健康益处。本研究使用相关性和回归分析,对佛罗里达州坦帕市的二次数据集(如社会人口统计学变量[如种族/民族])、健康数据和树木覆盖特征的插值值(如树冠百分比和叶面积指数)进行了分析。树冠百分比和叶面积指数与呼吸和心血管结果呈负相关,但只有叶面积指数在逻辑回归模型中与呼吸状况呈显著相关。在街区组层面,少数族裔居民比例与中位数收入和树木密度呈显著负相关。叶面积指数在非裔美国人居民比例较高的街区组中也显著较低。非裔美国人(p=0.101)和西班牙裔(p<0.001)的比例与呼吸结果呈正相关,而人口密度(p<0.001)、树冠百分比(p<0.01)和叶面积指数(p<0.01)与呼吸结果呈负相关。在多变量模型中,较高的树木密度、叶面积指数和中位数收入与呼吸病例呈显著负相关。非裔美国人比例较高的街区组显示呼吸住院率高于中位数的几率更高。树木密度和中位数收入也与心血管病例呈负相关。房屋所有权和树木状况与心血管病例呈显著正相关。

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