| Literature DB >> 26513597 |
Sarah Milton1, Triantafyllos Pliakas1, Sophie Hawkesworth1, Kiran Nanchahal2, Chris Grundy2, Antoinette Amuzu3, Juan-Pablo Casas3, Karen Lock4.
Abstract
A growing body of literature explores the relationship between the built environment and health, and the methodological challenges of understanding these complex interactions across the lifecourse. The impact of the neighbourhood environment on health and behaviour amongst older adults has received less attention, despite this age group being potentially more vulnerable to barriers in their surrounding social and physical environment. A qualitative geographical information systems (QGIS) approach was taken to facilitate the understanding of how older people over 70 in 5 UK towns interact with their local neighbourhood. The concept of neighbourhood changed seasonally and over the lifecourse, and was associated with social factors such as friends, family, or community activities, rather than places. Spaces stretched further than the local, which is problematic for older people who rely on variable public transport provision. QGIS techniques prompted rich discussions on interactions with and the meanings of 'place' in older people.Entities:
Keywords: Ageing; Environment; Methods; Neighbourhood; Qualitative geographical information systems; Space
Mesh:
Year: 2015 PMID: 26513597 PMCID: PMC4676086 DOI: 10.1016/j.healthplace.2015.10.002
Source DB: PubMed Journal: Health Place ISSN: 1353-8292 Impact factor: 4.078
Fig. 1Example of an overview activity space map generated from 7 day GPS data. Figure shows an example of an ‘overview’ activity space map that was used for interviews. Maps were generated from GPS data in ArcGIS and exported to Google Maps. Solid lines represent GPS tracts recorded during the 7 day period and stars represent stops of more than 10 min at a single location. The dashed line represents the interviewee's view of their ‘neighbourhood’, which was annotated onto the maps during the interview and stretched further than the GPS tracts.
Descriptive characteristics of the study sample.
| 3rd age (70–79 yrs) | 7 (70%) | 2 (50%) | 9 (64.3%) |
| 4th age (80+ years) | 3 (30%) | 2 (50%) | 5 (35.7%) |
| Centre | 8 (80%) | 3 (75%) | 11 (78.6%) |
| Periphery | 2 (20%) | 1 (25%) | 3 (21.4%) |
| Low | 8 (80%) | 2 (50%) | 10 (71.4%) |
| High | 2 (20%) | 2 (50%) | 4 (28.6%) |