Department of Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison.
Department of Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison.
Ann Epidemiol. 2014 Mar;24(3):214-21. doi: 10.1016/j.annepidem.2013.12.007. Epub 2013 Dec 28.
Pathways by which the social and built environments affect health can be influenced by differences between perception and reality. This discordance is important for understanding health impacts of the built environment. This study examines associations between perceived and objective measures of 12 nonresidential destinations, as well as previously unexplored sociodemographic, lifestyle, neighborhood, and urbanicity predictors of discordance.
Perceived neighborhood data were collected from participants of the Survey of the Health of Wisconsin, using a self-administered questionnaire. Objective data were collected using the Wisconsin Assessment of the Social and Built Environment, an audit-based instrument assessing built environment features around each participant's residence.
Overall, there was relatively high agreement, ranging from 50% for proximity to parks to more than 90% for golf courses. Higher education, positive neighborhood perceptions, and rurality were negatively associated with discordance. Associations between discordance and depression, disease status, and lifestyle factors appeared to be modified by urbanicity level.
These data show perceived and objective neighborhood environment data are not interchangeable and the level of discordance is associated with or modified by individual and neighborhood factors, including the level of urbanicity. These results suggest that consideration should be given to including both types of measures in future studies.
社会和建筑环境影响健康的途径可能受到感知与现实之间差异的影响。这种不和谐对于理解建筑环境对健康的影响很重要。本研究考察了 12 个非居住目的地的感知和客观测量之间的关联,以及以前未探索过的社会人口统计学、生活方式、邻里和城市化对不和谐的预测因素。
使用自我管理问卷从威斯康星州健康调查的参与者那里收集感知邻里数据。使用基于审计的威斯康星州社会和建筑环境评估工具收集客观数据,该工具评估每个参与者居住地周围的建筑环境特征。
总体而言,存在相对较高的一致性,从接近公园的 50%到高尔夫球场的 90%以上。较高的教育水平、对邻里的积极看法和农村地区与不和谐呈负相关。不和谐与抑郁、疾病状况和生活方式因素之间的关联似乎受到城市化水平的调节。
这些数据表明,感知和客观的邻里环境数据不能互换,不和谐的程度与个人和邻里因素有关,包括城市化水平。这些结果表明,在未来的研究中应考虑同时使用这两种类型的测量。