Hansmann Kellia J, Gangnon Ronald, McAndrews Carolyn, Robert Stephanie
Department of Family Medicine and Community Health, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Department of Population Health Sciences, University of Wisconsin-Madison, Madison, WI, USA.
J Aging Health. 2024 Jun 4:8982643241258901. doi: 10.1177/08982643241258901.
We examined associations between older drivers' social and environmental characteristics and odds of using non-driving transportation modes. Using 2015 National Health and Aging Trends Study data for community-dwelling drivers ( = 5102), we estimated logistic regression models of associations between social characteristics, environmental characteristics, and odds of using non-driving transportation modes three years later. Drivers had 20% increase in odds of getting rides three years later for each additional confidante (adjusted odds ratio [aOR] = 1.20, 95% confidence interval [CI]: 1.11-1.30). Drivers living in more walkable neighborhoods were more likely to walk to get places (National Walkability Index [NWI] score of 18 vs. 2 aOR = 1.71, 95% CI: 1.02-2.90) and take public transit three years later (NWI 18 vs. 2 aOR = 7.47, 95% CI: 1.69-33.0). Identifying modifiable social and environmental characteristics can inform future interventions supporting older adults' health during the transition to non-driving.
我们研究了老年驾驶员的社会和环境特征与使用非驾驶交通方式的几率之间的关联。利用2015年全国健康与老龄化趋势研究中社区居住驾驶员的数据（n = 5102），我们估计了社会特征、环境特征与三年后使用非驾驶交通方式几率之间关联的逻辑回归模型。对于每增加一个密友，驾驶员三年后搭车的几率增加20%（调整后的优势比[aOR]=1.20，95%置信区间[CI]：1.11 - 1.30）。居住在步行便利性更高社区的驾驶员更有可能步行前往各处（全国步行便利性指数[NWI]评分为18与2相比，aOR = 1.71，95%CI：1.02 - 2.90），并且三年后更有可能乘坐公共交通工具（NWI 18与2相比，aOR = 7.47，95%CI：1.69 - 33.0）。识别可改变的社会和环境特征可为未来支持老年人向非驾驶过渡期间健康的干预措施提供参考。
