Devising a composite index to analyze and model loneliness and related health risks in the United Kingdom

Research output: Contribution to journalArticle

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Devising a composite index to analyze and model loneliness and related health risks in the United Kingdom. / Lucy, Laetitia; Burns, Luke.

In: Gerontology and Geriatric Medicine, Vol. 3, 12.06.2017.

Research output: Contribution to journalArticle

Harvard

Lucy, L & Burns, L 2017, 'Devising a composite index to analyze and model loneliness and related health risks in the United Kingdom' Gerontology and Geriatric Medicine, vol 3. DOI: 10.1177/2333721417714876

APA

Lucy, L., & Burns, L. (2017). Devising a composite index to analyze and model loneliness and related health risks in the United Kingdom. Gerontology and Geriatric Medicine, 3. DOI: 10.1177/2333721417714876

Vancouver

Lucy L, Burns L. Devising a composite index to analyze and model loneliness and related health risks in the United Kingdom. Gerontology and Geriatric Medicine. 2017 Jun 12;3. Available from, DOI: 10.1177/2333721417714876

Author

Lucy, Laetitia; Burns, Luke / Devising a composite index to analyze and model loneliness and related health risks in the United Kingdom.

In: Gerontology and Geriatric Medicine, Vol. 3, 12.06.2017.

Research output: Contribution to journalArticle

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@article{0aa8ec6f190d46809778d813e4fc9a28,
title = "Devising a composite index to analyze and model loneliness and related health risks in the United Kingdom",
abstract = "Objective:This research presents a framework through which a spatial composite index is devised to determine areas of potential loneliness and associated health risks. The research is evidenced on the London borough of Southwark in the United Kingdom but is designed such that it could be applied more widely. Method: The work adopts a quantitative approach through the combination of census and accessibility variables at a small area level. The output is a scoring system whereby each area is assigned a value indicating the likely presence of loneliness and potentially corresponding health risks. Results: Findings imply that loneliness is quantifiable and that this correlates with socioeconomic and accessibility measures. A strong clustering is evident in Southwark. Discussion: This research builds on previous attempts to locate and quantify loneliness 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 at a time when such issues are high on the political agenda.",
keywords = "loneliness, population aging, composite index, spatial analysis",
author = "Laetitia Lucy and Luke Burns",
year = "2017",
month = "6",
doi = "10.1177/2333721417714876",
volume = "3",
journal = "Gerontology and Geriatric Medicine",
issn = "2333-7214",
publisher = "SAGE Publications Inc.",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Devising a composite index to analyze and model loneliness and related health risks in the United Kingdom

AU - Lucy,Laetitia

AU - Burns,Luke

PY - 2017/6/12

Y1 - 2017/6/12

N2 - Objective:This research presents a framework through which a spatial composite index is devised to determine areas of potential loneliness and associated health risks. The research is evidenced on the London borough of Southwark in the United Kingdom but is designed such that it could be applied more widely. Method: The work adopts a quantitative approach through the combination of census and accessibility variables at a small area level. The output is a scoring system whereby each area is assigned a value indicating the likely presence of loneliness and potentially corresponding health risks. Results: Findings imply that loneliness is quantifiable and that this correlates with socioeconomic and accessibility measures. A strong clustering is evident in Southwark. Discussion: This research builds on previous attempts to locate and quantify loneliness 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 at a time when such issues are high on the political agenda.

AB - Objective:This research presents a framework through which a spatial composite index is devised to determine areas of potential loneliness and associated health risks. The research is evidenced on the London borough of Southwark in the United Kingdom but is designed such that it could be applied more widely. Method: The work adopts a quantitative approach through the combination of census and accessibility variables at a small area level. The output is a scoring system whereby each area is assigned a value indicating the likely presence of loneliness and potentially corresponding health risks. Results: Findings imply that loneliness is quantifiable and that this correlates with socioeconomic and accessibility measures. A strong clustering is evident in Southwark. Discussion: This research builds on previous attempts to locate and quantify loneliness 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 at a time when such issues are high on the political agenda.

KW - loneliness

KW - population aging

KW - composite index

KW - spatial analysis

U2 - 10.1177/2333721417714876

DO - 10.1177/2333721417714876

M3 - Article

VL - 3

JO - Gerontology and Geriatric Medicine

T2 - Gerontology and Geriatric Medicine

JF - Gerontology and Geriatric Medicine

SN - 2333-7214

ER -

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