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Effect Modification of Greenness in ...
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Qiu, Chengcheng.
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Effect Modification of Greenness in the Residential Environment on Temperature-Mortality Relationship among Older Adults in China.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Effect Modification of Greenness in the Residential Environment on Temperature-Mortality Relationship among Older Adults in China./
作者:
Qiu, Chengcheng.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:
43 p.
附註:
Source: Masters Abstracts International, Volume: 81-04.
Contained By:
Masters Abstracts International81-04.
標題:
Environmental health. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13878907
ISBN:
9781085782425
Effect Modification of Greenness in the Residential Environment on Temperature-Mortality Relationship among Older Adults in China.
Qiu, Chengcheng.
Effect Modification of Greenness in the Residential Environment on Temperature-Mortality Relationship among Older Adults in China.
- Ann Arbor : ProQuest Dissertations & Theses, 2019 - 43 p.
Source: Masters Abstracts International, Volume: 81-04.
Thesis (M.P.H.)--Yale University, 2019.
This item must not be sold to any third party vendors.
Older adults are highly vulnerable to adverse climate-related impacts, with temperature-related mortality that are likely to vary according to geographic characteristics, vegetation abundance and socioeconomic conditions. We examined how mortality among older adults in China was associated with different temperatures over 14 years (2000-2014), and how geolocation, vegetation abundance in the residential environment and socioeconomic conditions modulate this association. We used case-crossover study design with distributed nonlinear modeling method to estimate heat- and cold-related mortality, and stratified the analysis by the level of vegetation abundance, calculated from light reflectance of remotely sensed imagery, and socioeconomic characteristics including education and residence type. Analyses were performed for the overall population nationwide and also further focused on three provinces, which were Jiangsu, Guangdong, and Liaoning province, to examine the differences on the provincial level. Results showed the relative risk at 1st percentile of temperature was 1.6119 (95% confidence interval, 1.0680, 2.4329), and the relative risk at 25th percentile of temperature was 1.0583 (95% confidence interval 0.9187, 1.2192) versus heat index of 15. Extreme temperatures, in particular the extreme cold temperatures, had a significant negative impact on health. Findings also indicate that mortality-temperature association in China could be modified by factors related to geolocation, greenness in residential environment, and socioeconomic conditions. Risks were higher for individuals living in places with less residential greenery, in rural area, in southern part of China, and with lower level of education. The findings on the modulating effects of residential vegetation and socioeconomic conditions could be applied to directing future policy decisions on improving public health in different areas of China.
ISBN: 9781085782425Subjects--Topical Terms:
543032
Environmental health.
Subjects--Index Terms:
Case-crossover
Effect Modification of Greenness in the Residential Environment on Temperature-Mortality Relationship among Older Adults in China.
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Older adults are highly vulnerable to adverse climate-related impacts, with temperature-related mortality that are likely to vary according to geographic characteristics, vegetation abundance and socioeconomic conditions. We examined how mortality among older adults in China was associated with different temperatures over 14 years (2000-2014), and how geolocation, vegetation abundance in the residential environment and socioeconomic conditions modulate this association. We used case-crossover study design with distributed nonlinear modeling method to estimate heat- and cold-related mortality, and stratified the analysis by the level of vegetation abundance, calculated from light reflectance of remotely sensed imagery, and socioeconomic characteristics including education and residence type. Analyses were performed for the overall population nationwide and also further focused on three provinces, which were Jiangsu, Guangdong, and Liaoning province, to examine the differences on the provincial level. Results showed the relative risk at 1st percentile of temperature was 1.6119 (95% confidence interval, 1.0680, 2.4329), and the relative risk at 25th percentile of temperature was 1.0583 (95% confidence interval 0.9187, 1.2192) versus heat index of 15. Extreme temperatures, in particular the extreme cold temperatures, had a significant negative impact on health. Findings also indicate that mortality-temperature association in China could be modified by factors related to geolocation, greenness in residential environment, and socioeconomic conditions. Risks were higher for individuals living in places with less residential greenery, in rural area, in southern part of China, and with lower level of education. The findings on the modulating effects of residential vegetation and socioeconomic conditions could be applied to directing future policy decisions on improving public health in different areas of China.
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