Area effects on the level and development of social exclusion in later life.

Clicks: 347
ID: 98156
2020
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #45 of 124 articles by views in Social science & medicine (1982)

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 124 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Social exclusion in later life is associated with decreased quality of life and poorer health outcomes. Reducing the number of people at risk of exclusion is a key theme in European social policy, but there is limited understanding of the relationship between neighbourhood characteristics, personal attributes and the level and development of social exclusion in later life. In this paper, cross-classified multilevel growth curve models for predicting exclusion are fitted to seven waves of data from the English Longitudinal Study of Ageing, collected between 2002 and 2015, allowing for the investigation of causal mechanisms linking area characteristics and exclusion in later life, including access to services and amenities, participation in civic, cultural and leisure activities and relationships with friends and family. Results show that living in a deprived area is associated with increased levels of exclusion, and this explained the higher levels of exclusion found for urban compared with rural areas. Population turnover among local residents did not impact on exclusion levels, but length of residence and the degree to which a person feels attached to their neighbourhood did, with ageing in place and stronger attachments predicting lower levels of social exclusion. In terms of individual characteristics, men, those in poor health, people with low levels of wealth or education, and those aged 80 or older, were more likely to experience increased levels of exclusion, while retirement and marriage provided a protective effect. The paper contributes new insights into the pathways through which characteristics of both individuals and neighbourhoods predict social exclusion in later life, and concludes by discussing the policy implications raised by the research.
Reference Key
prattley2020areasocial Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Prattley, Jennifer;Buffel, Tine;Marshall, Alan;Nazroo, James;
Journal Social science & medicine (1982)
Year 2020
DOI
S0277-9536(19)30717-8
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.