A Cross-Sectional Survey on Older Adults' Community Mobility in an Indian Metropolis

J Cross Cult Gerontol. 2016 Mar;31(1):19-33. doi: 10.1007/s10823-015-9276-7.

Abstract

Community mobility supports occupational participation among older adults and promotes active ageing. This study aimed to explore community mobility of older adults within an urban Indian context in view of the limited available literature in this area. A cross-sectional survey was conducted on a convenience sample of 75 older adults residing in Chennai city using a questionnaire and a non-retrospective, open format, two-day time diary. Participants engaged in community mobility and activities outside home for 10% of time over two days. Activities and roles related to religious and spiritual activities and expression, social participation, leisure and informal personal education participation occupied most time and were engaged in most frequently. Walking was the most frequently used mode of transportation and participants reported numerous road-related hazards (lack of proper pavements, disobedience of traffic rules, difficulty crossing roads, crowded roads, and poor condition of roads). Participants used public transport less often. Public transport-related barriers (difficulty boarding and alighting buses/trains due to high steps/insufficient time, inadequate seat reservation for older adults, overcrowding and increased expense on auto rickshaws/taxis) were also expressed as concerns. Participants linked their ability to use public transport with independence and assigned relatively less value to driving. The findings emphasize the significance of community mobility to promote participation in older adults and recommend age-friendly environments in Indian cities.

Keywords: Activity; Community mobility; Environment; Older adults; Public transport; Roles.

MeSH terms

  • Adult
  • Aged
  • Cross-Sectional Studies
  • Environment Design
  • Exercise / physiology*
  • Exercise / psychology
  • Female
  • Humans
  • India
  • Leisure Activities*
  • Male
  • Middle Aged
  • Residence Characteristics / statistics & numerical data*
  • Socioeconomic Factors
  • Surveys and Questionnaires
  • Transportation*
  • Urban Population
  • Walking*