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

Neighborhood Impact on Physical Activity in Older Adults

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.

Study Overview

• Status: Completed
• Conditions: Heart Diseases; Cardiovascular Diseases

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.

• Study Type: Observational
• Enrollment (Actual): 896

Contacts and Locations

Study Locations

• Canada
  • British Columbia
    • Vancouver, British Columbia, Canada
      • University of British Columbia-Vancouver
• United States
  • California
    • San Diego, California, United States, 92103
      • San Diego State University
    • Stanford, California, United States, 94305
      • Stanford University School of Medicine

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: 65 years and older (Older Adult)
• Accepts Healthy Volunteers: No
• Genders Eligible for Study: All

• Sampling Method: Non-Probability Sample

Study Population

Residents of selected block groups in King County, WA and the Baltimore region.

Description

Inclusion criteria:

• Currently living in an apartment, condo, house, or assisted living facility
• Able to walk more than 10 feet at a time
• Able to speak and read English
• Able to complete study surveys (with assistance if necessary)

Exclusion Criteria:

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

Study Plan

How is the study designed?

Number of groups / cohorts

4

Cohorts and Interventions

Group / Cohort
Low Walkability/Low Income; Participants reside in a low walkability, low income neighborhood
Low Walkability/High Income; Participants reside in a low walkability, high income neighborhood
High Walkability/Low Income; Participants reside in a high walkability, low income neighborhood
High Walkability/High Income; Participants reside in a high walkability, high income neighborhood

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Physical Environment Factors Using Geographic Information Systems [GIS]	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.	at two time points, 6 months apart, which were averaged
Community Healthy Activities Model Program for Seniors (CHAMPS) Self-reported Walking for Errands	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.)	Assessment at baseline and 6 months, with the data across these two time points averaged to increase outcome stability.
Accelerometer Measured Physical Activity	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.	Assessment at baseline and 6 months, with the data across these two time points averaged to increase outcome stability.
Neighborhood Environment for Walkability Survey (NEWS) - Walking and Cycling Facilities in Neighborhood	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.	Assessment at baseline and 6 months, with the data across these two time points averaged to increase outcome stability.
Neighborhood Environment for Walkability Survey (NEWS) - Land Use Mix Access	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).	Assessment at baseline and 6 months, with the data across these two time points averaged to increase outcome stability.

Collaborators and Investigators

• Sponsor: Stanford University
• Collaborators: National Heart, Lung, and Blood Institute (NHLBI)
• Investigators: Principal Investigator: Abby King, Stanford University

Publications and helpful links

General Publications

• Stewart AL, Mills KM, King AC, Haskell WL, Gillis D, Ritter PL. CHAMPS physical activity questionnaire for older adults: outcomes for interventions. Med Sci Sports Exerc. 2001 Jul;33(7):1126-41. doi: 10.1097/00005768-200107000-00010.

Study record dates

Study Major Dates

• Study Start: September 1, 2004
• Primary Completion (Actual): June 1, 2009
• Study Completion (Actual): June 1, 2009

Study Registration Dates

• First Submitted: October 15, 2004
• First Submitted That Met QC Criteria: October 14, 2004
• First Posted (Estimate): October 15, 2004

Study Record Updates

• Last Update Posted (Actual): May 28, 2019
• Last Update Submitted That Met QC Criteria: May 24, 2019
• Last Verified: May 1, 2019

More Information

Terms related to this study

• Additional Relevant MeSH Terms: Heart Diseases; Cardiovascular Diseases
• Other Study ID Numbers: 1275; R01HL077141 (U.S. NIH Grant/Contract)