MRC Epidemiology Unit & UKCRC Centre for Diet and Activity Research (CEDAR), School of Clinical Medicine, University of Cambridge, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
Norwich Medical School and CEDAR, University of East Anglia, Norwich, NR4 7TJ, UK.
BMC Public Health. 2018 Apr 24;18(1):545. doi: 10.1186/s12889-018-5459-9.
Features of the urban neighbourhood influence the physical, social and mental wellbeing of residents and communities. We explored the longitudinal association between change to the neighbourhood built environment and the wellbeing of local residents in deprived areas of Glasgow, Scotland.
A cohort of residents (n = 365; mean age 50 years; 44% male; 4.1% of the 9000 mailed surveys at baseline) responded to a postal survey in 2005 and 2013. Wellbeing was assessed with the mental (MCS-8) and physical (PCS-8) components of the SF-8 scale. We developed software to aid identification of visible changes in satellite imagery occurring over time. We then used a Geographical Information System to calculate the percentage change in the built environment occurring within an 800 m buffer of each participant's home.
The median change in the neighbourhood built environment was 3% (interquartile range 6%). In the whole sample, physical wellbeing declined by 1.5 units on average, and mental wellbeing increased by 0.9 units, over time. In multivariable linear regression analyses, participants living in neighbourhoods with a greater amount of change in the built environment (unit change = 1%) experienced significantly reduced physical (PCS-8: -0.13, 95% CI -0.26 to 0.00) and mental (MCS-8: -0.16, 95% CI -0.31 to - 0.02) wellbeing over time compared to those living in neighbourhoods with less change. For mental wellbeing, a significant interaction by baseline perception of financial strain indicated a larger reduction in those experiencing greater financial strain (MCS-8: -0.22, 95% CI -0.39 to - 0.06). However, this relationship was reversed in those experiencing lower financial strain, whereby living in neighbourhoods with a greater amount of change was associated with significantly improved mental wellbeing over time (MCS-8: 0.38, 95% CI 0.04 to 0.72).
Overall, we found some evidence that living in neighbourhoods experiencing higher levels of physical change worsened wellbeing in local residents. However, we found a stronger negative relationship in those with lower financial security and a positive relationship in those with higher financial security. This is one of few studies exploring the longitudinal relationship between the environment and health.
城市邻里环境的特点会影响居民和社区的身心健康。我们探讨了苏格兰格拉斯哥贫困地区邻里建成环境变化与当地居民健康之间的纵向关联。
对参加者(n=365;平均年龄 50 岁;44%为男性;基线时寄出的 9000 份调查问卷中,有 4.1%做出了回应)进行了一项基于问卷调查的队列研究。使用 SF-8 量表的精神健康(MCS-8)和身体健康(PCS-8)两个分量表评估健康状况。我们开发了软件来帮助识别卫星图像中随时间发生的可见变化。然后,我们使用地理信息系统计算参与者家庭 800 米缓冲区范围内建成环境的变化百分比。
邻里建成环境的中位数变化为 3%(四分位距 6%)。在整个样本中,身体健康状况平均下降 1.5 个单位,心理健康状况平均增加 0.9 个单位。多变量线性回归分析显示,与生活在建成环境变化较小的社区的参与者相比,生活在建成环境变化较大的社区(单位变化=1%)的参与者的身体健康(PCS-8:-0.13,95%CI-0.26 至 0.00)和心理健康(MCS-8:-0.16,95%CI-0.31 至-0.02)随时间推移而显著降低。对于心理健康,经济压力的基线感知存在显著的交互作用,表明经济压力较大的参与者健康状况下降幅度更大(MCS-8:-0.22,95%CI-0.39 至-0.06)。然而,在经济压力较小的参与者中,情况则相反,即生活在建成环境变化较大的社区与心理健康随时间推移显著改善有关(MCS-8:0.38,95%CI 0.04 至 0.72)。
总的来说,我们发现一些证据表明,生活在经历更高水平物理环境变化的社区会使当地居民的健康状况恶化。然而,我们发现经济保障程度较低的参与者之间存在更强的负相关关系,而经济保障程度较高的参与者之间存在正相关关系。这是为数不多的探索环境与健康之间纵向关系的研究之一。