Zhu Anna, Wu Chenkai, Yan Lijing L, Wu Chih-Da, Bai Chen, Shi Xiaoming, Zeng Yi, Ji John S
Environmental Research Center, Duke Kunshan University, Kunshan, China.
Global Health Research Center, Duke Kunshan University, Kunshan, China.
BMJ Nutr Prev Health. 2019 Aug 26;2(2):72-79. doi: 10.1136/bmjnph-2019-000030. eCollection 2019.
Proximity to vegetated green space has been linked to better physical and mental health. However, the relationship between residential greenness and cognitive function and its decline among older adults is not clear in large cohort studies.
Our study used the 2000, 2002, 2005, 2008 and 2011 wave of the Chinese Longitudinal Healthy Longevity Survey. We calculated the Normalised Difference Vegetation Index (NDVI) using a 500 m radius around participants' residential addresses. Mini-Mental State Examination (MMSE) was applied to measure cognitive function. Our study included the cross-sectional analysis using the linear regression, and logistical regression, and also the longitudinal analysis using the linear mixed effects regression, and mixed effects logistic regression. Our study also conducted a sensitivity analysis using the survey-weighted regression. Additionally, our study participants were categorised into those living in areas of positive and negative changes in NDVI in relation to MMSE. All regression models were adjusted for a range of covariates.
Among 38 327 participants at baseline, the mean MMSE score was 21. Annual average NDVI ranged from -0.11 to 0.76. In the cross-sectional analysis, each 0.1-unit increase in NDVI was associated with a 0.23-point increase in MMSE score (95% CI 0.16 to 0.29) in the linear regression, and an OR of 0.94 (95% CI 0.92 to 0.96) of having cognition impairment in the logistic regression. In the second analysis, looking at changes in NDVI and MMSE score, compared with the participants living in areas with an increase in NDVI, those living in areas with a decrease in greenness had an OR of 1.25 (95% CI 1.18 to 1.34) of a decrease in MMSE, and an OR of 0.90 (95% CI 0.84 to 0.96) of an increase in MMSE. In the longitudinal analysis, we found a significantly weak association (coefficient 0.069, 95% CI 0.0048 to 0.13) in the linear mixed effects regression, but not in the mixed effects logistic regression.
We found evidence of an association between higher residential greenness and better cognitive function among older adults. Our finding provides insight into neurodegeneration and has implications for preventing dementia and Alzheimer's disease in China.
居住在植被丰富的绿色空间附近与更好的身心健康相关。然而,在大型队列研究中,居住环境绿化与老年人认知功能及其衰退之间的关系尚不清楚。
我们的研究使用了中国老年健康长寿纵向调查2000年、2002年、2005年、2008年和2011年的调查数据。我们以参与者居住地址为中心,半径500米范围内计算归一化植被指数(NDVI)。采用简易精神状态检查表(MMSE)测量认知功能。我们的研究包括使用线性回归和逻辑回归的横断面分析,以及使用线性混合效应回归和混合效应逻辑回归的纵向分析。我们的研究还使用调查加权回归进行了敏感性分析。此外,我们将研究参与者按照与MMSE相关的NDVI变化为正和为负的区域进行分类。所有回归模型都对一系列协变量进行了调整。
在基线时的38327名参与者中,MMSE平均得分为21分。年平均NDVI范围为-0.11至0.76。在横断面分析中,线性回归中NDVI每增加0.1个单位,MMSE得分增加0.23分(95%可信区间0.16至0.29),逻辑回归中认知障碍的比值比为0.94(95%可信区间0.92至0.96)。在第二项分析中,观察NDVI和MMSE得分的变化,与居住在NDVI增加区域的参与者相比,居住在绿化减少区域的参与者MMSE下降的比值比为1.25(95%可信区间1.18至1.34),MMSE增加的比值比为0.90(95%可信区间0.84至0.96)。在纵向分析中,我们在线性混合效应回归中发现了显著较弱的关联(系数0.069,95%可信区间0.0048至0.13),但在混合效应逻辑回归中未发现。
我们发现证据表明老年人居住环境绿化程度越高与认知功能越好之间存在关联。我们的研究结果为神经退行性变提供了见解,并对中国预防痴呆和阿尔茨海默病具有启示意义。