University of Pittsburgh Graduate School of Public Health, Department of Epidemiology, 130 DeSoto Street, Pittsburgh, PA, 15261, USA.
University of Pittsburgh Graduate School of Public Health, Department of Epidemiology, 130 DeSoto Street, Pittsburgh, PA, 15261, USA.
Health Place. 2023 Jan;79:102960. doi: 10.1016/j.healthplace.2022.102960. Epub 2023 Jan 3.
We examined whether greenspace measures (overall percent greenspace and forest, and number of greenspace types) were associated with clinically adjudicated dementia status.
In a sample of non-demented older adults (n = 2141, average age = 75.3 years) from the Cardiovascular Health and Cognition Study, Cox proportional hazard and logistic regression analyses were used to estimate associations of baseline greenspace with risks of incident dementia and MCI, respectively, while adjusting for demographics, co-morbidities, and other neighborhood factors. We derived quartiles of percent greenness (greenspace), forest (percent tree canopy cover), and tertiles of greenspace diversity (number of greenspace types) for 5-km radial buffers around participant's residences at study entry (1989-1990) from the 1992 National Land Cover Dataset. Dementia status and mild cognitive impairment (MCI) over 10 years was clinically adjudicated.
We observed no significant association between overall percent greenspace and risk of mild cognitive impairment or dementia and mostly null results for forest and greenspace diversity. Forest greenspace was associated with lower odds of MCI (OR quartile 4 versus 1: 0.54, 95% CI: 0.29-0.98) and greenspace diversity was associated with lower hazard of incident dementia (HR tertile 2 versus 1: 0.70, 95% CI = 0.50-0.99).
We found divergent results for different types of greenspace and mild cognitive impairment or dementia. Improved greenspace type and diversity measurement could better characterize the association between greenspace and cognition.
我们研究了绿地指标(整体绿地百分比和森林、绿地类型数量)是否与经临床判定的痴呆状况有关。
在心血管健康与认知研究的一个无痴呆老年人群体样本(n=2141 人,平均年龄 75.3 岁)中,我们使用 Cox 比例风险和逻辑回归分析,在调整人口统计学、合并症和其他邻里因素后,分别估计基线绿地与痴呆和 MCI 发生率的关联。我们根据 1992 年国家土地覆盖数据集,在参与者居住的 5 公里放射状缓冲区中得出了居住地周围绿地百分比(绿地)、森林(树冠覆盖率百分比)和绿地多样性三分位数(绿地类型数量)的四分位数。在 10 年内,通过临床评估确定痴呆状况和轻度认知障碍(MCI)。
我们没有发现整体绿地百分比与轻度认知障碍或痴呆风险之间存在显著关联,森林和绿地多样性的结果大多为零。森林绿地与较低的 MCI 患病几率相关(四分位数 4 与四分位数 1 相比:0.54,95%置信区间:0.29-0.98),绿地多样性与较低的痴呆发生率相关(三分位数 2 与三分位数 1 相比:0.70,95%置信区间:0.50-0.99)。
我们发现不同类型的绿地与轻度认知障碍或痴呆之间的结果存在差异。改进绿地类型和多样性的测量方法可以更好地描述绿地与认知之间的关联。