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Residential greenness and blood lipids in urban-dwelling adults: The 33 Communities Chinese Health Study

机译:城市居民成年人的居住区绿色和血脂:33个社区的中国健康研究

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摘要

While exposure to places with higher greenness shows health benefits, evidence is scarce on its lipidemic effects. We assessed the associations between residential greenness and blood lipids and effect mediations by air pollution, physical activity, and adiposity in China. Our study included 15,477 adults from the population-based 33 Communities Chinese Health Study, conducted between April and December 2009, in Northeastern China. We measured total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C). Residential greenness was estimated using two satellite-derived vegetation indices - the Normalized Difference Vegetation Index (NDVI) and the Soil Adjusted Vegetation Index (SAVI). We used both nitrogen dioxide (NO2) and particles = 2.5 mu m in aerodynamic diameter (PM2.5) as proxies of outdoor air pollution. Associations were assessed using linear mixed effects regression models and logistic mixed effects regression models, and mediation analyses were also performed. Living in higher greenness areas was consistently associated with lower TC, TG, and LDL-C levels and higher HDL-C levels (e.g., change in TC, TG, LDL-C, and HDL-C per 0.1-unit increase in NDVI500-m was -1.52%, -3.05%, -1.91%, and 0.52%, respectively). Similar results were obtained for the corresponding dyslipidemias. These associations were generally stronger in women and older adults. While educational levels showed effect modifications, the effect pattern was inconsistent. Both outdoor air pollution and body mass index mediated 9.1-62.3% and 5.6-40.1% of the associations for greenness and blood lipids, respectively, however, physical activity did not. Our results suggest beneficial associations between residing in places with higher greenness and blood lipid levels, especially in women and the elder individuals. The associations were partly mediated by lower air pollution and adiposity. (C) 2019 Elsevier Ltd. All rights reserved.
机译:虽然暴露在具有较高绿色的地方对健康有益,但缺乏证据表明其对脂质的作用。我们评估了中国居民绿色与血脂之间的关联以及通过空气污染,身体活动和肥胖对媒介的影响。我们的研究包括2009年4月至2009年12月在中国东北进行的以人口为基础的《 33个社区中国人健康研究》中的15477名成年人。我们测量了总胆固醇(TC),甘油三酸酯(TG),低密度脂蛋白胆固醇(LDL-C)和高密度脂蛋白胆固醇(HDL-C)。使用两个卫星衍生的植被指数(归一化植被指数(NDVI)和土壤调整植被指数(SAVI))估算了住宅的绿色度。我们使用二氧化氮(NO2)和空气动力学直径(<2.5μm)≤2.5微米的颗粒作为室外空气污染的代理。使用线性混合效应回归模型和逻辑混合效应回归模型评估关联性,并进行中介分析。生活在绿色较高的地区与较低的TC,TG和LDL-C水平以及较高的HDL-C水平相关联(例如,NDVI500-N每增加0.1个单位,TC,TG,LDL-C和HDL-C的变化m分别为-1.52%,-3.05%,-1.91%和0.52%。对于相应的血脂异常也获得了相似的结果。这些关联在女性和老年人中通常更强。虽然教育水平显示出效果改变,但效果模式却不一致。室外空气污染和体重指数分别介导了绿色和血脂关联的9.1-62.3%和5.6-40.1%,但是体育活动却没有。我们的结果表明,居住在绿色较高的地方与血脂水平之间存在有益的联系,尤其是在女性和老年人中。这种关联部分是由较低的空气污染和肥胖引起的。 (C)2019 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Environmental pollution》 |2019年第7期|14-22|共9页
  • 作者单位

    Sun Yat Sen Univ, Guangzhou Key Lab Environm Pollut & Hlth Risk Ass, Dept Occupat & Environm Hlth, Sch Publ Hlth, Guangzhou 510080, Guangdong, Peoples R China;

    Ludwig Maximilians Univ Munchen, Univ Hosp, Inst & Clin Occupat Social & Environm Med, Ziemssenstr 1, D-80336 Munich, Germany|German Res Ctr Environm Hlth, Helmholtz Zentrum Munchen, Inst Epidemiol, Ingolstadter Landstr 1, D-85764 Neuherberg, Germany;

    Ludwig Maximilians Univ Munchen, Univ Hosp, Inst & Clin Occupat Social & Environm Med, Ziemssenstr 1, D-80336 Munich, Germany|German Ctr Lung Res, Comprehens Pneumol Ctr Munich, Ziemssenstr 1, D-80336 Munich, Germany;

    SUNY Albany, Dept Environm Hlth Sci & Epidemiol & Biostat, Rensselaer, NY 12144 USA;

    St Louis Univ, Coll Publ Hlth & Social Justice, Dept Epidemiol & Biostat, St Louis, MO 63104 USA;

    Northern Illinois Univ, Sch Nursing & Hlth Studies, De Kalb, IL 60115 USA;

    St Louis Univ, Sch Social Work, Coll Publ Hlth & Social Justice, St Louis, MO 63103 USA;

    China Natl Ctr Food Safety Risk Assessment, NHC Key Lab Food Safety Risk Assessment, 7 Panjiayuan Nanli,Room 312, Beijing 100021, Peoples R China;

    Monash Univ, Sch Publ Hlth & Prevent Med, Dept Epidemiol & Prevent Med, Melbourne, Vic 3004, Australia;

    Univ Melbourne, Sch Populat & Global Hlth, Ctr Epidemiol & Biostat, Allergy & Lung Hlth Unit, Melbourne, Vic 3010, Australia|Murdoch Children Res Inst, Melbourne, Vic 3010, Australia;

    Ctr Air Qual & Hlth Res & Evaluat, Glebe, NSW 2037, Australia|South Western Sydney Local Hlth Dist, Populat Hlth, Liverpool, NSW 2170, Australia|Ingham Inst Appl Med Res, Liverpool, NSW 2170, Australia|Univ New South Wales, Sch Publ Hlth & Community Med, Kensington, NSW 2052, Australia;

    Univ Queensland, Sch Publ Hlth, Brisbane, Qld 4006, Australia;

    Jinan Univ, Guangzhou Key Lab Environm Exposure & Hlth, Sch Environm, Guangzhou 510632, Guangdong, Peoples R China|Jinan Univ, Guangdong Key Lab Environm Pollut & Hlth, Guangzhou 510632, Guangdong, Peoples R China;

    Univ Eastern Finland, Dept Environm & Biol Sci, FI-70211 Kuopio, Finland;

    Chinese Univ Hong Kong, Dept Geog & Resource Management, Shatin, Hong Kong, Peoples R China|Chinese Univ Hong Kong, Stanley Ho Big Data Decis Analyt Res Ctr, Shatin, Hong Kong, Peoples R China|Chinese Univ Hong Kong, Inst Environm Energy & Sustainabil, Shatin, Hong Kong, Peoples R China;

    Sun Yat Sen Univ, Guangzhou Key Lab Environm Pollut & Hlth Risk Ass, Dept Occupat & Environm Hlth, Sch Publ Hlth, Guangzhou 510080, Guangdong, Peoples R China;

    Sun Yat Sen Univ, Guangzhou Key Lab Environm Pollut & Hlth Risk Ass, Dept Occupat & Environm Hlth, Sch Publ Hlth, Guangzhou 510080, Guangdong, Peoples R China;

    Sun Yat Sen Univ, Guangzhou Key Lab Environm Pollut & Hlth Risk Ass, Dept Occupat & Environm Hlth, Sch Publ Hlth, Guangzhou 510080, Guangdong, Peoples R China;

    Sun Yat Sen Univ, Guangzhou Key Lab Environm Pollut & Hlth Risk Ass, Dept Occupat & Environm Hlth, Sch Publ Hlth, Guangzhou 510080, Guangdong, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Greenness; Dyslipidemia; Blood lipids; Mediation; Cross-sectional study;

    机译:绿色;血脂异常;血脂;调解;横断面研究;
  • 入库时间 2022-08-18 04:24:17

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