在退休之路上:使用自我报告的健康因素预测夜间驾驶困难和停车
Colleen M Peterson1, Andrew Leslie1, Carol A C Flannagan1
1Transportation Research Institute, University of Michigan, Ann Arbor, MI, USA.
Journal of transport & health
|June 10, 2024
概括
身体健康不佳,日常活动的限制和心理健康问题预示着老年人夜间驾驶困难. 早期识别可以帮助推动退休计划和干预.
科学领域:
- 老年学是一门学科.
- 公共卫生 公共卫生
- 运输安全运输安全
背景情况:
- 老年司机是一个日益增长的人口,预计将开车更长时间.
- 夜间驾驶困难是停止驾驶的前兆.
- 识别预测因素可以为老年司机提供干预信息.
研究的目的:
- 确定老年人夜间驾驶困难的基线身体和心理健康预测因素.
- 检查5年和10年期间的预测因素.
- 开发一个工具来预测驾驶困难的变化.
主要方法:
- 使用了来自国家社会生活,健康和老龄化项目 (NSHAP) 的2261名司机 (57-85岁) 的数据.
- 采用加权的多变量物流分析来确定预测因素.
- 利用过渡矩阵模型来预测驾驶困难的变化.
主要成果:
- 5年困难的预测因素:身体健康不佳,日常生活活动的限制 (ADLs),抑郁和焦虑症状.
- 保护因素:身体/精神健康良好,身体活动.
- 10年预测因素包括身体健康,行走疼痛和ADL限制.
结论:
- 自我报告查可以识别有夜间驾驶困难风险的老年人.
- 早期识别有助于推动退休计划和健康干预.
- 一个免费可用的过渡矩阵工具有助于测量发展.
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