Street view greenness is associated with lower risk of obesity in adults: Findings from the 33 Chinese community health study
Street view greenness is associated with lower risk of obesity in adults: Findings from the 33 Chinese community health study
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街景绿色与成人肥胖风险降低相关：33 个中国社区健康研究的结果
DOI：
10.1016/j.envres.2021.111434
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发表时间：
2021
影响因子：
8.3
通讯作者：
Guang-Hui Dong
中科院分区：
文献类型：
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作者：
Xiang Xiao;Ruoyu Wang;Luke D. Knibbs;Bin Jalaludin;Joachim Heinrich;Iana Markevych;Meng Gao;Shu-Li Xu;Qi-Zhen Wu;Xiao-Wen Zeng;Gong-Bo Chen;Li-Wen Hu;Bo-Yi Yang;Yunjiang Yu;Guang-Hui Dong
背景城市绿化可以预防肥胖，但很少有研究评估“街景”（SV）绿化指标，与常用的卫星衍生指标相比，它可以更好地捕捉人们对绿化的实际接触。我们的目的是在一项中国成人研究中进一步调查这些关联。方法我们的分析包括 2009 年 33 个中国社区健康研究中的 24,845 名成年人。使用来自腾讯地图的 SV 图像，通过机器学习算法分割，确定 800m 路网缓冲区中社区级别 SV 图像中绿色植被的平均比例。使用替代缓冲区大小进行敏感性分析。总体绿化度以 800 米缓冲区内的归一化植被指数 (NDVI) 进行评估。我们使用预测的 PM2.5 和监测的 NO2 作为空气污染的替代指标。体重指数 (BMI)、腰围 (WC) 和臀围 (HC) 通过广义线性混合模型对 SV 绿度进行回归，并对协变量进行调整。进行中介分析以评估空气污染的中介效应。结果街景绿化度每增加一个四分位数范围 (IQR = 3.6%)，BMI 就会减少 0.15 kg/m2 (95% CI: -0.22, -0.09)，HC 会减少 0.23 cm (95% CI: -0.35, -0.11)，并且与 7% 的降低几率相关。超重几率降低 (OR = 0.93, 95% CI:0.90, 0.96)，肥胖几率降低 18% (OR = 0.82, 95% CI:0.76, 0.89)。与常用的 NDVI 测量相比，观察到了类似的效果估计。 PM2.5 和 NO2 分别介导了 SV 绿色度与 BMI 的 15.5% 和 6.1% 影响。结论我们的研究结果表明，社区水平 SV 绿色度与中国成年人较低体重之间存在有益关联。在女性中观察到了这种影响，但在男性中没有观察到。空气污染可能部分调节这种关联。这些发现可能对支持促进城市地区绿化的努力具有影响。
BackgroundUrban greenness may protect against obesity, but very few studies have assessed ‘street view’ (SV) greenness metrics, which may better capture people's actual exposure to greenness compared to commonly-used satellite-derived metrics. We aimed to investigate these associations further in a Chinese adult study.MethodsOur analysis included 24,845 adults in the 33 Chinese Community Health Study in 2009. SV images from Tencent Map, segmented by machine learning algorithms, were used to determine the average proportion of green vegetation in SV images at community level in 800m road network buffer. Sensitivity analyses were performed with an alternative buffer size. Overall greenness was assessed as normalized difference vegetation index (NDVI) in 800 m buffer. We used predicted PM2.5and monitored NO2as proxies of air pollution. Body mass index (BMI), waist circumference (WC) and hip circumference (HC) were regressed on SV greenness by generalized linear mixed models, with adjustment for covariates. Mediation analyses were performed to assess the mediation effects of air pollution.ResultsEach interquartile range (IQR = 3.6%) increase in street view greenness was associated with a 0.15 kg/m2(95% CI: −0.22, −0.09) decrease in BMI and 0.23 cm (95% CI: −0.35, −0.11) reduction in HC, and was associated with 7% lower odds of overweight (OR = 0.93, 95% CI:0.90, 0.96) and 18% lower odds of obesity (OR = 0.82, 95% CI:0.76, 0.89). Similar effect estimation was observed compared with commonly-used NDVI measures. PM2.5and NO2mediated 15.5% and 6.1% of the effects of SV greenness with BMI, respectively.ConclusionsOur findings suggest beneficial associations between community-level SV greenness and lower body weight in Chinese adults. The effects were observed in women but not in men. Air pollution may partially mediate the association. These findings may have implications to support efforts to promote greening in urban areas.