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Age Variations in Correlates of Utilitarian Walking among Small Town Residents

Presentation at the 2014 Active Living Research Annual Conference.
Background and Purpose
Utilitarian walking (e.g., walking for transport) can be readily incorporated into daily routines and can promote health. Walking may hold additional significance for older adults (1) because of its documented role in reducing the risk of functional disabilities (2), cognitive impairment (3), and fall injury (4); and in improving sleep quality (5), physical fitness, and mental health (6). Thus, walkable neighborhoods can contribute to healthy aging and aging in place (7). Over 25% of older adults in the United States (8) reside in smaller communities and rural towns9, but studies of walking among older adults have focused on those who live in urban communities. This study explores how small towns in rural areas and their specific features contribute to utilitarian walking among elderly residents (10).
Objectives
This study examined relationships between neighborhood environmental characteristics and utilitarian walking in a sample of adults from small towns in rural areas in three geographically dispersed regions of the US. It specifically focuses on how these relationships differ for adults over the age of 65 and younger. Both objectively measured (Geographic Information System, GIS) and subjectively measured (survey) environmental variables were evaluated as potential correlates of walking.
Methods
The study locations included nine small towns in rural areas geographically isolated from metropolitan areas in three regions: Washington State, Texas, and the Northeast. Telephone surveys of randomly sampled adults asked about demographics, race and ethnicity, health and socioeconomic status, walking barriers and facilitators, behavioral factors, and neighborhood perceptions. The sample of 2,140 respondents were categorized as younger (18-64 years of age, N=1,398) and older (65+, N=742) adult groups. GIS data obtained from a variety of secondary sources included seven domains: generalized land use, destination land use, residential and employment density, transportation infrastructure, economic environment, regional location, and natural environment. Area-based neighborhood measurements were taken within a 1-km street-network buffer around each survey respondent’s home. All proximity measures were captured as the shortest street route distance from home to each target location. Multivariate logistic regression models were developed separately for the two age categories to identify significant predictors of neighborhood walking (the odds of walking at least once a week in the neighborhood for utilitarian purposes). Statistical significance in this study was defined as p<0.10.
Results
Three personal variables were associated with walking in both age groups: female gender (-), household income (-), and recreational walking (+). Only one additional personal variable, age (-), was associated with walking among younger adults only, while five more variables were significant in the older adult model: education (+), difficulty in walking (-), screen time (-), lack of time as a perceived barrier to walking (+), and ease of walking to retail, services and transit as a reason to choose their current residence (+). Only one environmental variable, perceived presence of crosswalks and pedestrian signals, was significant in both age groups as a positive correlate of walking. Among older adults, perceived presence of unattended dogs, sidewalks/shoulders, and good lighting were positive correlates, and distance to religious institution and slope were negative correlates of walking. For younger adults, perception of slow traffic speed; cultural, entertainment and recreational land use; intercity transit stops (local transits not considered due to limited availability); and schools within the 1-km buffer were positively associated with walking, while resource production/extraction land use and mall within the buffer were negatively correlated with walking.
Conclusions
This study showed significant differences in correlates of utilitarian walking among younger versus older adults; and also differences from existing studies carried out in urban communities. For example, compared to younger adults, older adults were more likely to perceive such conditions as unsafe crossings, lack of sidewalks, insufficient lighting, and steep slope as barriers to walking. Further, compared to urban settings, differences were also found in the roles of specific land uses (e.g. religious institutions) as attractors or deterrents of walking in rural settings.
Implications for Practice and Policy
This study demonstrates that environmental and policy interventions need to be tailored to the age group as well as the geographic location (rural versus urban) of the target community. To promote utilitarian walking among older small town residents, who are an important target population for healthcare and physical activity promotion, improving street crossing safety by providing clearly marked and signaled crosswalks, improving lighting conditions, providing completed sidewalks/shoulders, controlling attended dogs, and keeping flat/gentle slope in neighborhood streets appear warranted.
References
- Taylor AH, Cable NT, Faulkner G, Hillsdon M, Narici M, Van der Bij AK. Physical activity and older adults: a review of health benefits and the effectiveness of interventions. Journal of Sports Sciences 2004;22(8):703-725.
- Lawrence RH, Jette AM. Disentangling the disablement process. Journals of Gerontology Series B-Psychological Sciences and Social Sciences 1996;51(4):S173-S182.
- Abbott RD, White LR, Ross GW, Masaki KH, Curb JD, Petrovitch H. Walking and dementia in physically capable elderly men. JAMA 2004;292(12):1447-53.
- Petridou ET, Manti EG, Ntinapogias AG, Negri E, Szczerbinska K. What works better for community-dwelling older people at risk to fall? A meta-analysis of multifactorial versus physical exercise-alone Interventions. Journal of Aging and Health 2009;21(5):713-729.
- King AC, Oman RF, Brassington GS, Bliwise DL, Haskell WL. Moderate-intensity exercise and self-rated quality of sleep in older adults. A randomized controlled trial. JAMA 1997;277(1):32-7.
- Harrison EL, Fisher KL, Lawson JA, Chad KE, Sheppard MS, Reeder BA, et al. Exploring the role of housing type on physical activity and health status in community-dwelling older adults. Activities, Adaptation & Aging 2010;34(2):98-114.
- Yen IH, Anderson LA. Built environment and mobility of older adults: important policy and practice efforts. J Am Geriatr Soc 2012;60(5):951-6.
- What's different about rural health care? [cited 2008 Sep 6th]; Available from: www.ruralhealthweb.org/go/left/about-rural-health/waht-s-different-about-rural-health-care
- Moudon AV, Lee C, Chaeadle A. Operational defintions of walkable neighborhood: Theoretical and empirical insights. Journal of Physical Activity and Health 2006;3(Suppl 1):S99-117.
- Sunminski RR, Poston WS, Petosa RL, Stevens E, Katzenmoyer LM. Features of the neighborhood environment an dwalking by U.S. adults. American Journal of Preventive Medicine 2005;28(2):149-155.
Support / Funding Source
This study was supported by a grant from the National Institute of Health (1R01HL103478-01A1).
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