Lower-body function, neighborhoods, and walking in an older population

Am J Prev Med. 2010 Apr;38(4):419-28. doi: 10.1016/j.amepre.2009.12.031.

Abstract

Background: Poor lower-body capacity is associated with reduced mobility in older populations.

Purpose: This study sought to determine whether neighborhood environments (e.g., land-use patterns and safety) moderate that association.

Methods: The study is based on a cross-sectional sample of 884 people aged > or =65 years identified through service organizations in Alameda County CA, Cook County IL, Allegheny County PA, and Wake and Durham counties NC. In-person interviews focused on neighborhood characteristics, physical and cognitive function, and physical activity and walking. Functional capacity was tested using measures of lower-body strength, balance, and walking speed. The main outcome was time spent walking in a typical week (<150 vs > or =150 minutes per week). Objective environmental measures were also included. Estimates of main and interaction effects were derived from regression models.

Results: Living in a residential area, compared to a mixed-use or commercial area, was associated with less time spent walking (<150 minutes per week; OR=1.57, 95% CI=1.04, 2.38). Living in a less-compact area (greater median block length) is also significantly associated with less walking for seniors, but only among those with excellent lower-body strength.

Conclusions: Neighborhood type is associated with walking among older people, as it is among the general adult population. In individuals with poor lower-body function, no association was found between residence in a less-compact area and walking. For those people, the relationship between neighborhood characteristics and walking requires further study.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Age Factors
  • Aged
  • Confidence Intervals
  • Cross-Sectional Studies
  • Female
  • Humans
  • Male
  • Odds Ratio
  • Physical Fitness*
  • Residence Characteristics / statistics & numerical data*
  • Sex Factors
  • Time Factors
  • United States / epidemiology
  • Walking / statistics & numerical data*