ArticleDisability and health journal2024
Quantifying active travel among people with disabilities in the US.
Article in Disability and health journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed, 5 citations in OpenAlex.
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Authors and funding
3 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundPeople with disabilities have higher rates of physical inactivity than people without. Active travel (e.g., walking/wheeling to nearby destinations or transit) is a recommended approach to increasing total physical activity (PA) but limited research has examined active travel among people with disabilities.
objectiveTo describe active travel among a nationally representative sample of people with disabilities, analyze variation between sub-groups, and examine factors associated with active travel.
methodsUsing the 2017 National Household Travel Survey, our cross-sectional analysis summarized counts and duration of walking/wheeling trips for people with four different types of disabilities. We examined which factors were associated with doing any active travel and the duration of active travel, using zero inflated negative binomial regression models.
resultsOur analysis identified that 14.55% of people with disabilities took a mean of 2.56 (95%CI = 2.42-2.69) walking/wheeling trips per day. Compared to non-active travelers, a higher proportion of active travelers were low-income, lived alone, had no-vehicle, and were Black or Hispanic. For active travelers, daily walking minutes, on average, were 46.41 (95%CI = 40.25-52.57) among people who used ambulatory devices, 41.55 (95%CI = 24.61-58.49) among people who were blind/low-vision, 39.93 (95%CI = 35.41-44.45) among people who used no device, and 29.58 (95%CI = 23.53-35.64) among people who used chair devices. Our analysis identified individual, household, and community factors associated with the likelihood and duration of walking/wheeling for travel and variation across disability types.
conclusionsUnderstanding the multiple identities of active travelers with disabilities can inform walking/wheeling intervention strategies. Infrastructure improvements that support less reliance on automobiles could increase active travel among people with disabilities.
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