Suppr超能文献

长期居住环境绿化与糖尿病发病关系的前瞻性队列研究。

Long-term exposure to residential surrounding greenness and incidence of diabetes: A prospective cohort study.

机构信息

Department of Epidemiology and Biostatistics at School of Public Health and National Clinical Research Center for Child Health of the Children's Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China.

Department of Epidemiology and Biostatistics at School of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China.

出版信息

Environ Pollut. 2022 Oct 1;310:119821. doi: 10.1016/j.envpol.2022.119821. Epub 2022 Jul 20.

Abstract

Exposure to residential greenness might affect population health through increasing physical activity and social engagement, improving mental health, and reducing harmful environmental exposure. However, evidence on the association of greenness with risk of diabetes is still controversial. In this study, we recruited a total of 22,535 participants aged ≥18 years from Yinzhou District, Ningbo, Zhejiang Province, China to investigate the associations between residential greenness and risk of diabetes incidence. Residential greenness was estimated using Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), and Vegetation Continuous Field (VCF). We also calculated cumulative average NDVI, EVI and VCF values, and changes in NDVI, EVI and VCF during the follow-up period. We used Cox proportional hazards models controlling for demographic characteristics, lifestyles, individual socioeconomic status, history of diseases and particulate matter with an aerodynamic diameter ≤2.5 μm (PM) to examine hazard ratios (HRs) and 95% confidence intervals (95% CIs) and assessed physical activity, body mass index (BMI) or PM as potential mediators. During 84,992.64 person-years of follow-up, a total of 1,154 incident cases of diabetes occurred. In multivariable models, living in the highest quartile of cumulative average NDVI, EVI and VCF within 250-m buffer was associated with 57% (HR = 0.43, 95% CI: 0.36, 0.52), 62% (HR = 0.38, 95% CI: 0.32, 0.45), and 55% (HR = 0.45, 95% CI: 0.38, 0.54) reduction in diabetes risk compared with the lowest quartile, respectively. Results remained similar for NDVI, EVI, and VCF within 500-m and 1000-m buffers. Stratified analyses showed stronger association for residential greenness and diabetes among older people. The association between greenness and diabetes did not appear to be mediated by physical activity, PM or BMI. Our findings suggested that higher residential greenness was significantly associated with lower risk of diabetes.

摘要

暴露于居住绿化环境可能通过增加身体活动和社会参与、改善心理健康以及减少有害环境暴露来影响人群健康。然而,绿化与糖尿病风险之间的关联证据仍存在争议。在这项研究中,我们共招募了 22535 名年龄≥18 岁的来自中国浙江省宁波市鄞州区的参与者,以调查居住绿化与糖尿病发病风险之间的关联。使用归一化植被指数 (NDVI)、增强植被指数 (EVI) 和植被连续场 (VCF) 来估计居住绿化。我们还计算了累积平均 NDVI、EVI 和 VCF 值,以及随访期间 NDVI、EVI 和 VCF 的变化。我们使用 Cox 比例风险模型,控制人口统计学特征、生活方式、个体社会经济地位、疾病史和空气动力学直径≤2.5 μm(PM)的颗粒物,以检验危险比 (HR) 和 95%置信区间 (95%CI),并评估身体活动、体重指数 (BMI) 或 PM 作为潜在的中介因素。在 84992.64 人年的随访期间,共发生 1154 例糖尿病事件。在多变量模型中,与居住在 250 m 缓冲区累积平均 NDVI、EVI 和 VCF 最高四分位数的参与者相比,居住在最低四分位数的参与者患糖尿病的风险分别降低了 57%(HR=0.43,95%CI:0.36,0.52)、62%(HR=0.38,95%CI:0.32,0.45)和 55%(HR=0.45,95%CI:0.38,0.54)。在 500 m 和 1000 m 缓冲区中,NDVI、EVI 和 VCF 的结果相似。分层分析显示,绿化与糖尿病之间的关联在老年人中更为明显。绿化与糖尿病之间的关联似乎不是通过身体活动、PM 或 BMI 来介导的。我们的研究结果表明,较高的居住绿化与较低的糖尿病风险显著相关。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验