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[Association of greenness, nitrogen dioxide with the prevalence of hypertension among the elderly over 65 years old in China].
Ye, J M; Zhou, J H; Wang, J; Ye, L L; Li, C F; Wu, B; Qi, L; Chen, C; Cui, J; Qiu, Y Q; Liu, S X; Li, F Y; Luo, Y F; Lyu, Y B; Ye, L; Shi, X M.
Affiliation
  • Ye JM; China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China School of Public Health, Jilin University, Changchun 130012, China.
  • Zhou JH; China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
  • Wang J; China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
  • Ye LL; China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Be
  • Li CF; China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China School of Public Health, Anhui Medical University, He Fei 230032, China.
  • Wu B; China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
  • Qi L; China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
  • Chen C; China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
  • Cui J; China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Be
  • Qiu YQ; China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China School of Public Health, Southern Medical University, Guangzhou 510515, China.
  • Liu SX; China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China School of Public Health, Southern Medical University, Guangzhou 510515, China.
  • Li FY; China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China School of Public Health, China Medical University, Shenyang 110013, China.
  • Luo YF; China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China School of Public Health, Anhui Medical University, He Fei 230032, China.
  • Lyu YB; China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
  • Ye L; School of Public Health, Jilin University, Changchun 130012, China.
  • Shi XM; China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
Zhonghua Yu Fang Yi Xue Za Zhi ; 57(5): 641-648, 2023 May 06.
Article in Zh | MEDLINE | ID: mdl-37165811
Objective: To investigate the association of mixed exposure to greenness and nitrogen dioxide(NO2) and hypertension among the older adults aged 65 years and over in China. Methods: The study subjects were from the Chinese Longitudinal Healthy Longevity Survey from 2017 to 2018. A total of 15 423 older adults aged 65 years and over meeting the criteria were finally included in the study. A questionnaire survey was used to collect information on demographic characteristics, lifestyle habits and self-reported prevalence of hypertension. Blood pressure values were obtained through physical examination. The level of normalized difference vegetation index(NDVI) was measured by the Medium-resolution Imaging Spectral Radiator(MODIS) of the National Aeronautics and Space Administration(NASA). The concentration of NO2 was from China's surface air pollutant data set. Meteorological data was from NASA MERRA-2. The exposure to NDVI and NO2 for each study subject was calculated based on the area within a 1 km radius around their residence. The association between mixed exposure of NDVI and NO2 as well as their interaction and hypertension in older adults was analyzed by using the multivariate logistic regression model. The restrictive cubic spline(RCS) function was used to explore the exposure-response relationship between greenness and NO2 and the risk of hypertension in study subjects. Results: The mean age of 15 423 older adults were (85.6±11.6). Women accounted for 56.3%(8 685/15 423) and 55.6%(8 578/15 423) lived in urban areas. The mean time of residence was (60.9±28.5) years. 59.8% of participants were with hypertension. The mean NDVI level was 0.41±0.13, and the mean NO2 concentration was (32.18±10.36) µg/cm3. The results of multivariate logistic regression analysis showed that NDVI was inversely and linearly associated with the hypertension in older adults, with the OR(95%CI) value of 0.959(0.928-0.992). Compared with the T1 group of NDVI, the risk of hypertension was lower in the T3 group, with the OR(95%CI) value of 0.852(0.769-0.944), and the trend test was statistically significant(P<0.05). Compared with the T1 group of NO2, the risk of hypertension was higher in the T2 and T3 groups, with OR(95%CI) values of 1.160(1.055-1.275) and 1.244(1.111-1.393), and the trend test was statistically significant (P<0.05). The result of the RCS showed that NDVI was inversely and linearly associated with hypertension in older adults. NO2 was nonlinearly associated with hypertension in older adults. The interaction analysis showed that NDVI and NO2 had a negative multiplicative interaction on the risk of hypertension, with OR(95%CI) value of 0.995(0.992-0.997). Conclusion: Exposure to greenness and NO2 are associated with hypertension in older adults.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Air Pollution / Hypertension Type of study: Prevalence_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Female / Humans Country/Region as subject: Asia Language: Zh Journal: Zhonghua Yu Fang Yi Xue Za Zhi Year: 2023 Document type: Article Affiliation country: China Country of publication: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Air Pollution / Hypertension Type of study: Prevalence_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Female / Humans Country/Region as subject: Asia Language: Zh Journal: Zhonghua Yu Fang Yi Xue Za Zhi Year: 2023 Document type: Article Affiliation country: China Country of publication: China