Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
School of Kinesiology, University of Michigan, Ann Arbor, MI, USA.
Top Stroke Rehabil. 2023 Sep;30(6):578-588. doi: 10.1080/10749357.2022.2108970. Epub 2022 Aug 4.
Features of the physical environment may affect post-stroke recovery, but empirical evidence is limited. This study examines associations between features of the physical environment and post-stroke physical quality of life (PH-QOL).
The study sample included stroke survivors enrolled in the Caring for Adults Recovering from the Effects of Stroke project, a prospective cohort. Features of the physical environment surrounding participants' home addresses were audited using Google Earth. Audits captured information about crossings (e.g. curb-cuts; range 0-4), street segments (e.g. sidewalks; range 0-17.5), and a route (e.g. parks; range 0-27) near participants' home. Summary scores were categorized into tertials representing "few," "some," and "many" pedestrian-friendly features. Post-stroke PH-QOL was measured by the SF-12 (range 0-100) around 6 to 12-, 18-, 27-, and 36-months post-stroke. Linear mixed models were used to estimate PH-QOL over time. Chained multiple imputation was used to account for missing data.
Two hundred and seventy-five participants were eligible, among whom 210 had complete data. Most participants lived in areas with "few" features to promote outdoor mobility. Participants living in environments with "some" crossing features had a 4.90 (95% CI: 2.32, 7.48) higher PH-QOL score across the observation period in comparison to participants living in environments with "few" crossing features. Features of the physical environment along street segments and routes were not associated with post-stroke PH-QOL.
Crossing features are associated with post-stroke PH-QOL. Modifying features of the physical environment at nearby crossings, such as curb-cuts, may be a promising strategy for increasing PH-QOL.
物理环境的特点可能会影响中风后的恢复,但实证证据有限。本研究考察了物理环境特征与中风后身体生活质量(PH-QOL)之间的关联。
研究样本包括参加“照顾成人从中风影响中恢复”项目的中风幸存者,这是一个前瞻性队列。使用谷歌地球对参与者家庭住址周围的物理环境特征进行了审核。审核捕获了有关交叉点(例如,路边缘切口;范围 0-4)、街道段(例如,人行道;范围 0-17.5)和参与者家庭附近路线(例如,公园;范围 0-27)的信息。汇总分数分为代表“很少”、“一些”和“很多”行人友好特征的三分位数。中风后 PH-QOL 通过 SF-12(范围 0-100)在中风后 6 至 12 个月、18 个月、27 个月和 36 个月时进行测量。线性混合模型用于估计随时间推移的 PH-QOL。链式多重插补用于处理缺失数据。
共有 275 名符合条件的参与者,其中 210 名参与者的数据完整。大多数参与者居住在促进户外出行的“很少”特征的区域。与居住在“很少”交叉特征环境中的参与者相比,居住在“有一些”交叉特征环境中的参与者在整个观察期间的 PH-QOL 得分高 4.90(95%CI:2.32,7.48)。街道段和路线上的物理环境特征与中风后 PH-QOL 无关。
交叉特征与中风后 PH-QOL 有关。修改附近交叉点的物理环境特征,例如路边缘切口,可能是提高 PH-QOL 的有前途的策略。