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Residential surrounding greenness is associated with improved lung function in adults: a cross-sectional study in eastern China.
Zhang, Wenhao; Peng, Wenjia; Cai, Jun; Jiang, Yuhong; Zhou, Cheng; Zha, Zhenqiu; Mi, Jing.
Affiliation
  • Zhang W; Epidemiology and Health Statistics, School of Public Health, Bengbu Medical College, Bengbu, Anhui, 233000, China.
  • Peng W; School of Public Health, Fudan University, Shanghai, China.
  • Cai J; Epidemiology and Health Statistics, School of Public Health, Bengbu Medical College, Bengbu, Anhui, 233000, China.
  • Jiang Y; Epidemiology and Health Statistics, School of Public Health, Bengbu Medical College, Bengbu, Anhui, 233000, China.
  • Zhou C; Epidemiology and Health Statistics, School of Public Health, Bengbu Medical College, Bengbu, Anhui, 233000, China.
  • Zha Z; Anhui Provincial Center for Disease Control and Prevention, Hefei, Anhui, 230601, China. zhenqiuzha@126.com.
  • Mi J; Epidemiology and Health Statistics, School of Public Health, Bengbu Medical College, Bengbu, Anhui, 233000, China. mijing@bbmc.edu.cn.
BMC Public Health ; 23(1): 632, 2023 04 03.
Article in En | MEDLINE | ID: mdl-37013488
ABSTRACT

BACKGROUND:

While benefits of greenness exposure to health have been reported, findings specific to lung function are inconsistent. The purpose of this study is to assess the correlations of greenness exposure with multiple lung function indicators based on chronic obstructive pulmonary disease (COPD) monitoring database from multiple cities of Anhui province in China.

METHODS:

We assessed the greenness using the annual average of normalized difference vegetation index (NDVI) with a distance of 1000-meter buffer around each local community or village. Three types of lung function indicators were considered, namely indicators of obstructive ventilatory dysfunction (FVC, FEV1, FEV1/FVC, and FEV1/FEV3); an indicator of large-airway dysfunction (PEF); indicators of small-airway dysfunction (FEF25%, FEF50%, FEF75%, MMEF, FEV3, FEV6, and FEV3/FVC). Linear mixed effects model was used to analyze associations of greenness exposure with lung function through adjusting age, sex, educational level, occupation, residence, smoking status, history of tuberculosis, family history of lung disease, indoor air pollution, occupational exposure, PM2.5, and body mass index.

RESULTS:

A total of 2768 participants were recruited for the investigations. An interquartile range (IQR) increase in NDVI was associated with better FVC (153.33mL, 95%CI 44.07mL, 262.59mL), FEV1 (109.09mL, 95%CI 30.31mL, 187.88mL), FEV3 (138.04mL, 95%CI 39.43mL, 236.65mL), FEV6 (145.42mL, 95%CI 42.36mL, 248.47mL). However, there were no significant associations with PEF, FEF25%, FEF50%, FEF75%, MMEF, FEV1/FVC, FEV1/FEV6, FEV3/FVC. The stratified analysis displayed that an IQR increase in NDVI was related with improved lung function in less than 60 years, females, urban populations, nonsmokers, areas with medium concentrations of PM2.5 and individuals with BMI of less than 28 kg/m2. Sensitivity analyses based on another greenness indice (enhanced vegetation index, EVI) and annual maximum of NDVI remained consistent with the main analysis.

CONCLUSIONS:

Our findings supported that exposure to greenness was strongly related with improved lung function.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Respiratory Physiological Phenomena / Air Pollution Type of study: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Female / Humans Country/Region as subject: Asia Language: En Journal: BMC Public Health Journal subject: SAUDE PUBLICA Year: 2023 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Respiratory Physiological Phenomena / Air Pollution Type of study: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Female / Humans Country/Region as subject: Asia Language: En Journal: BMC Public Health Journal subject: SAUDE PUBLICA Year: 2023 Document type: Article Affiliation country: China
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