Understanding the Impact of Neighborhood Type on Physical Activity in Older Adults

Completed

Conditions: Cardiovascular Diseases
Heart Diseases

Registration Number: NCT00094211

Lead Sponsor: Stanford University

Brief Summary: The purpose of this study is to investigate whether seniors living in neighborhoods that are conducive to walking are more physically active than those living in neighborhoods that are less conducive to walking.

Detailed Description: BACKGROUND:

Despite the recognized benefits of regular physical activity for older adults, people over the age of 65 remain among the most inactive groups of the U.S. population. Efforts to understand the factors influencing physical activity in this important group have been limited primarily to demographic and psychosocial domains. The importance of the neighborhood environment in influencing a host of health, behavioral, and psychosocial outcomes has been recognized. However, to date, no systematic investigation of the relationship between objective and subjective environmental factors and objectively measured physical activity levels among older adults has been undertaken.

DESIGN NARRATIVE:

This observational study will investigate whether seniors living in neighborhoods conducive to walking are more physically active, after adjusting for socioeconomic status (SES), than those living in neighborhoods less conducive to walking or other forms of physical activity for transportation or recreational purposes. Additional questions of interest concern the moderating effects of physical function and the proportion of seniors living nearby on the relationship between environment and physical activity. The study will take advantage of the sampling, recruitment, and data collection methods of an ongoing NIH-funded research project aimed at integrating public health and urban planning frameworks in studying the impacts of environmental factors on physical activity levels in younger adults. Population-based sampling methods will be used to recruit adults over 65 years of age who are living in more walkable versus less walkable neighborhoods of varying SES levels. Participants will be recruited from Seattle, Washington (n = 600) and Baltimore, Maryland (n = 600). In addition to objectively measured physical environment (using geographic information systems {GIS}) and physical activity levels (using accelerometry), self-reported neighborhood environment, physical activity, and quality of life variables of particular relevance to older adults will be assessed twice during a 12-month period.

Recruitment & Eligibility

Status: COMPLETED

Sex: All

Target Recruitment: 896

Inclusion Criteria

Not provided

Exclusion Criteria

Not currently living in one of the areas in which the study will take place

Study & Design

Study Type: OBSERVATIONAL

Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Community Healthy Activities Model Program for Seniors (CHAMPS) Self-reported Walking for Errands	Assessment at baseline and 6 months, with the data across these two time points averaged to increase outcome stability.	A self-report physical activity questionnaire that assesses weekly frequency and duration of various activities typically undertaken by midlife and older adults over the prior 4-week period. Self-reported walking for errands is one physical activity item assessed. The measure has been shown to have good test-retest reliability (stability) and construct and concurrent validity, and has been shown to be sensitive to change in a variety of adult populations. It has seven frequency categories (from less than 1 hour a week to 9 or more hours per week). The minimum value is 0 and the maximal value is variable. (See Stewart AL, Mills KM, King AC, et al. CHAMPS Physical Activity Questionnaire for Older Adults: Outcomes for Interventions. Med Sci Sports Exerc, 33:7, 1126-1141, 2001.)
Accelerometer Measured Physical Activity	Assessment at baseline and 6 months, with the data across these two time points averaged to increase outcome stability.	Ambulatory assessment of moderate-to-vigorous physical activity using a validated Actigraph accelerometer. Participants were instructed to wear the accelerometer during waking hours for seven days at each of the two measurement points. The accelerometer was placed over the right hip. Data were cleaned and scored using MeterPlus version 4.0 software.
Neighborhood Environment for Walkability Survey (NEWS) - Walking and Cycling Facilities in Neighborhood	Assessment at baseline and 6 months, with the data across these two time points averaged to increase outcome stability.	The scale is walking/cycling facilities which is a mean of 5 items. The minimum value is 1 and the maximum value is 4. Higher scores indicate an environment that is supportive of walking and cycling which is a better outcome.
Neighborhood Environment for Walkability Survey (NEWS) - Land Use Mix Access	Assessment at baseline and 6 months, with the data across these two time points averaged to increase outcome stability.	The scale is land use mix access which is a mean of 7 items. The minimum value is 1 and the maximum value is 4. Higher scores indicate easier access to services which is indicative of a high walkability environment (i.e., a better outcome).
Physical Environment Factors Using Geographic Information Systems [GIS]	at two time points, 6 months apart, which were averaged	Physical environment factors measured using GIS-derived measures of street connectivity, residential density, and mixed land use in participant block groups and a network buffer around each participant's home. A walkability index was created for a 500 meter street network buffer around participant homes. The walkability index was calculated for each census block group in the regions by summing the z-scores of four macro built environment measures: 1) net residential density, 2) intersection density, 3) retail floor to land area ratio (FAR), and 4) mixed use. A higher scores indicates higher walkability. The minimum value is -4.08 and the maximum value is 12.5.

Secondary Outcome Measures

Name	Time	Method

Trial Locations

Locations (3): San Diego State University
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San Diego, California, United States
University of British Columbia-Vancouver
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Vancouver, British Columbia, Canada
Stanford University School of Medicine
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Stanford, California, United States