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Residential greenness and chronic obstructive pulmonary disease in a large cohort in southern China: Potential causal links, risk trajectories, and mediation pathways.
Wu, Wenjing; Chen, Dan; Ruan, Xingling; Wu, Gonghua; Deng, Xinlei; Lawrence, Wayne; Lin, Xiao; Li, Zhiqiang; Wang, Ying; Lin, Ziqiang; Zhu, Shuming; Deng, Xueqing; Lin, Qiaoxuan; Hao, Chun; Du, Zhicheng; Wei, Jing; Zhang, Wangjian; Hao, Yuantao.
Afiliação
  • Wu W; Department of Medical Statistics, School of Public Health & Research Center for Health Information & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China.
  • Chen D; Department of Medical Statistics, School of Public Health & Research Center for Health Information & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China.
  • Ruan X; Department of Medical Statistics, School of Public Health & Research Center for Health Information & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China.
  • Wu G; Department of Medical Statistics, School of Public Health & Research Center for Health Information & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China.
  • Deng X; Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC, USA.
  • Lawrence W; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
  • Lin X; Department of Medical Statistics, School of Public Health & Research Center for Health Information & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China.
  • Li Z; Department of Medical Statistics, School of Public Health & Research Center for Health Information & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China.
  • Wang Y; Department of Medical Statistics, School of Public Health & Research Center for Health Information & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China.
  • Lin Z; Department of Preventive Medicine, School of Basic Medicine and Public Health, Jinan University, Guangzhou, China.
  • Zhu S; Department of Medical Statistics, School of Public Health & Research Center for Health Information & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China.
  • Deng X; Department of Medical Statistics, School of Public Health & Research Center for Health Information & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China.
  • Lin Q; Guangzhou Health Technology Identification & Human Resources Assessment Center, Department of Statistics, China.
  • Hao C; Department of Medical Statistics, School of Public Health & Research Center for Health Information & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China.
  • Du Z; Department of Medical Statistics, School of Public Health & Research Center for Health Information & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China.
  • Wei J; Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, USA. Electronic address: weijing@umd.edu.
  • Zhang W; Department of Medical Statistics, School of Public Health & Research Center for Health Information & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China. Electronic address: zhangwj227@mail.sysu.edu.cn.
  • Hao Y; Peking University Center for Public Health and Epidemic Preparedness & Response, Peking, China; Key Laboratory of Epidemiology of Major Diseases, Peking University, Ministry of Education, Peking, China. Electronic address: haoyt@bjmu.edu.cn.
J Adv Res ; 2024 May 24.
Article em En | MEDLINE | ID: mdl-38797475
ABSTRACT

INTRODUCTION:

Residential greenness may influence COPD mortality, but the causal links, risk trajectories, and mediation pathways between them remain poorly understood.

OBJECTIVES:

We aim to comprehensively identify the potential causal links, characterize the dynamic progression of hospitalization or posthospital risk, and quantify mediation effects between greenness and COPD.

METHODS:

This study was conducted using a community-based cohort enrolling individuals aged ≥ 18 years in southern China from January 1, 2009 to December 31, 2015. Greenness was characterized by normalized difference vegetation index (NDVI) around participants' residential addresses. We applied doubly robust Cox proportional hazards model, multi-state model, and multiple mediation method, to investigate the potential causal links, risk trajectories among baseline, COPD hospitalization, first readmission due to COPD or COPD-related complications, and all-cause death, as well as the multiple mediation pathways (particulate matter [PM], temperature, body mass index [BMI] and physical activity) connecting greenness exposure to COPD mortality.

RESULTS:

Our final analysis included 581,785 participants (52.52% female; average age 48.36 [Standard Deviation (SD) 17.56]). Each interquartile range (IQR 0.06) increase in NDVI was associated with a reduced COPD mortality risk, yielding a hazard ratio (HR) of 0.88 (95 % CI 0.81, 0.96). Furthermore, we observed per IQR (0.04) increase in NDVI was inversely associated with the risk of multiple transitions (baseline - COPD hospitalization, baseline - death, and readmission - death risks), especially a declined risk of all-cause death after readmission (HR = 0.66 [95 %CI 0.44, 0.99]). Within the observed association between greenness and COPD mortality, three mediators were identified, namely PM, temperature, and BMI (HR for the total indirect effect 0.773 [95 % CI 0.703, 0.851]), with PM showing the highest mediating effect.

CONCLUSIONS:

Our findings revealed greenness may be a beneficial factor for COPD morbidity, prognosis, and mortality. This protective effect is primarily attributed to the reduction in PM concentration.
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Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: J Adv Res / J. Adv. Res. (Online) / Journal of Advanced Research (Online) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: J Adv Res / J. Adv. Res. (Online) / Journal of Advanced Research (Online) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China