| Description |
1 online resource : illustrations |
| Series |
SAGE Research Methods. Cases |
|
SAGE Research Methods. Cases
|
| Summary |
This case study presents a detailed overview of the methods and findings from research undertaken to explore loneliness in the United Kingdom, as published in the Journal of Gerontology and Geriatric Medicine. A composite index is proposed and stepped through, thus, evidencing how loneliness can be predicted and measured at a small geographical scale. The composite index put forward in this research is evidenced on the London Borough of Southwark, but designed such that it could be applied more widely. The work adopts an entirely quantitative approach through the combination of current census and accessibility variables to form the index with each of the six development phases clearly explained. The output is a scoring system, whereby each small area is assigned a value indicating the likely presence of loneliness and potentially corresponding health risks. Findings imply that loneliness is quantifiable and that this correlates with socio-economic and accessibility measures. A strong clustering is evident in Southwark. This research builds on previous attempts to locate and quantify loneliness by the charity Age UK with favorable results. The outcome provides a replicable solution to assist the public service with the targeting of areas deemed most at risk from loneliness and resultant mental and physical health conditions. This case study is presented in such a way as to clearly evidence the methods adopted and ensure readers can re-apply comparable methods elsewhere on a range of topics |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Description based on XML content |
| Subject |
Age UK (Organization)
|
|
Journal of Gerontology and Geriatric Medicine
|
|
Loneliness in old age -- England -- London -- Case studies.
|
| Genre/Form |
Case studies.
|
|
Case studies.
|
| Form |
Electronic book
|
| Author |
Lucy, Laetitia, author
|
| ISBN |
1526440458 |
|
9781526440457 (ebook) |
|
