Association between residential greenness and sleep quality in Chinese rural population

Yinyu Xie; Hao Xiang; Niu Di; Zhenxing Mao; Jian Hou; Xiaotian Liu; Wenqian Huo; Boyi Yang; Guanghui Dong; Chongjian Wang; Gongbo Chen; Yuming Guo; Shanshan Li

Environment International (Dec 2020)

Association between residential greenness and sleep quality in Chinese rural population

Yinyu Xie,
Hao Xiang,
Niu Di,
Zhenxing Mao,
Jian Hou,
Xiaotian Liu,
Wenqian Huo,
Boyi Yang,
Guanghui Dong,
Chongjian Wang,
Gongbo Chen,
Yuming Guo,
Shanshan Li

Affiliations

Yinyu Xie: Department of Global Health, School of Health Sciences, Wuhan University, Wuhan, Hubei, China; Global Health Institute, Wuhan University, Wuhan, Hubei, China
Hao Xiang: Department of Global Health, School of Health Sciences, Wuhan University, Wuhan, Hubei, China; Global Health Institute, Wuhan University, Wuhan, Hubei, China
Niu Di: Department of Global Health, School of Health Sciences, Wuhan University, Wuhan, Hubei, China; Global Health Institute, Wuhan University, Wuhan, Hubei, China
Zhenxing Mao: Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
Jian Hou: Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
Xiaotian Liu: Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
Wenqian Huo: Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
Boyi Yang: Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment; Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
Guanghui Dong: Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment; Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
Chongjian Wang: Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China; Corresponding authors at: Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou 450001, Henan, China (C. Wang). Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment; Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Yuexiu District, Guangzhou 510080, Guangdong, China (G. Chen).
Gongbo Chen: Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment; Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China; Corresponding authors at: Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou 450001, Henan, China (C. Wang). Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment; Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Yuexiu District, Guangzhou 510080, Guangdong, China (G. Chen).
Yuming Guo: Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
Shanshan Li: Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia

Journal volume & issue: Vol. 145
p. 106100

Abstract

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Background: Epidemiological studies on the association of residential greenness with sleep quality are limited in China. Objective: This study aims to investigate the association of long-term exposure to residential greenness with sleep quality in rural China. Methods: In our study, 27,654 rural residents were selected from 4 counties of Henan Province by a multi-stage stratified cluster sampling method. Participants’ sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). The Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI), two satellite-derived vegetation indexes, were used to assess the level of residential greenness. Long-term greenness exposure was defined as the averages of NDVI and EVI during the three years prior to the baseline survey. The relationship between sleep quality and greenness was assessed using the mixed-effect linear regression models. Results: Among 27,654 rural residents, the mean age was 55.89 years (standard deviation, SD = 12.22) and 60.18% of them were female. In the crude model, the PSQI score decreased with per interquartile range (IQR) increase in EVI and NDVI [ΔPSQI score (95% confidence interval, 95%CI): −0.073 (−0.115, −0.030) and −0.047 (−0.089, −0.002)]. After controlling potential confounders, ΔPSQI scores and 95%CIs were −0.055 (−0.095, −0.012) and −0.090 (−0.151, −0.025) associated with per IQR increment in EVI and NDVI. The results of stratified analyses showed the effect of residential greenness on sleep was stronger among males and individuals with higher household income and educational attainment than females and those with lower household income and educational attainment. Moreover, the modification effect of air pollution was observed in the greenness-sleep association. Conclusions: Our study indicated that higher residential greenness was significantly associated with better sleep quality in Chinese rural population, which highlights the significant effect of green space on human health.

Published in Environment International

ISSN: 0160-4120 (Print)
Publisher: Elsevier
Country of publisher: United Kingdom
LCC subjects: Geography. Anthropology. Recreation: Environmental sciences
Website: https://www.journals.elsevier.com/environment-international

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