Department of Global Health, School of Public Health, Wuhan University, Wuhan 430071, Hubei, China; Global Health Institute, Wuhan University, Wuhan 430071, Hubei, China.
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, Hubei, China.
Environ Res. 2024 Dec 15;263(Pt 2):120071. doi: 10.1016/j.envres.2024.120071. Epub 2024 Oct 1.
While community walkability is recognized as a key environmental factor for health status, evidence linking it specifically to hypertension is rather limited. To fill the knowledge gap, we concluded a cross-sectional study among 6421 eligible participants from the Wuhan Chronic Disease Cohort. A well-developed algorithm was performed to evaluate community walkability across Wuhan, quantified as Walk Score. We then calculated each participant residential Walk Score using the geographic information system. The logistic and linear regression models were conducted to determine the relationship between walkability, hypertension and blood pressure, respectively. We further performed the mediation analysis to explore potential mechanisms. After adjusting for extra confounders, we observed a higher community walk score was associated with a lower hypertension risk (OR = 0.73; 95% CI: 0.63, 0.84), a lower systolic blood pressure (β = -3.152 mmHg; 95% CI: -4.25, -2.05), a lower diastolic blood pressure (β = -2.237 mmHg; 95% CI: -2.95, -2.53) and a lower mean arterial pressure (β = -2.976 mmHg; 95% CI: -3.75, -2.20). The effect of community walkability on hypertension was partially mediated by body fat rate. Our study indicates a positive correlation between high walkability and a reduced odds of hypertension in China. This highlights the potential role of urban design in hypertension prevention, emphasizes the need for walkability-focused planning strategies to foster healthier communities, and guides future interventions and research to mitigate hypertension.
虽然社区可步行性被认为是健康状况的一个关键环境因素,但将其与高血压具体联系起来的证据相当有限。为了填补这一知识空白,我们在武汉慢性病队列中对 6421 名符合条件的参与者进行了一项横断面研究。我们使用了一种经过充分开发的算法来评估整个武汉的社区可步行性,并用步行指数(Walk Score)来量化。然后,我们使用地理信息系统计算了每位参与者的居住地步行指数。我们分别使用逻辑回归和线性回归模型来确定可步行性、高血压和血压之间的关系。我们进一步进行了中介分析以探索潜在机制。在调整了其他混杂因素后,我们发现较高的社区步行得分与较低的高血压风险相关(OR=0.73;95%CI:0.63,0.84),较低的收缩压(β=-3.152mmHg;95%CI:-4.25,-2.05),较低的舒张压(β=-2.237mmHg;95%CI:-2.95,-2.53)和较低的平均动脉压(β=-2.976mmHg;95%CI:-3.75,-2.20)。社区可步行性对高血压的影响部分是通过体脂率来介导的。我们的研究表明,在中国,高可步行性与降低高血压的几率之间存在正相关。这突显了城市设计在高血压预防中的潜在作用,强调了需要制定以可步行性为重点的规划策略来促进更健康的社区,并为未来的干预措施和研究提供指导,以减轻高血压的影响。