Social and Environmental Characteristics Associated With Older Drivers’ Use of Non-driving Transportation Modes

Author:

Hansmann Kellia J.1ORCID,Gangnon Ronald23,McAndrews Carolyn4,Robert Stephanie5

Affiliation:

1. Department of Family Medicine and Community Health, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA

2. Department of Population Health Sciences, University of Wisconsin-Madison, Madison, WI, USA

3. Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA

4. Department of Planning and Landscape Architecture, University of Wisconsin-Madison, Madison, WI, USA

5. Sandra Rosenbaum School of Social Work, University of Wisconsin-Madison, Madison, WI, USA

Abstract

Objective: We examined associations between older drivers’ social and environmental characteristics and odds of using non-driving transportation modes. Methods: Using 2015 National Health and Aging Trends Study data for community-dwelling drivers ( n = 5102), we estimated logistic regression models of associations between social characteristics, environmental characteristics, and odds of using non-driving transportation modes three years later. Results: 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). Discussion: Identifying modifiable social and environmental characteristics can inform future interventions supporting older adults’ health during the transition to non-driving.

Funder

U.S. Department of Veterans Affairs

Publisher

SAGE Publications

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3