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Centre for Policy on Ageing | |
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| Predicting the prevalence of loneliness at older ages | | Author(s) | Jose Iparraguirre |
| Corporate Author | Age UK |
| Publisher | Age UK, 2016 |
| Pages | 20 pp |
| Source | http://www.ageuk.org.uk/Documents/EN-GB/For-profes... |
| Keywords | Loneliness ; Isolation [elderly] ; Evaluation ; Variance analysis ; Regional ; England. |
| Annotation | The author uses data from Wave 5 (2010/10) of the English Longitudinal Study on Ageing (ELSA) to obtain predictors of loneliness and to test for the presence of spatial neighbouring effects (i.e. spatial dependence) among people aged 65+ across small geographical units in England. These results are applied to data from the Census 2011 to predict the prevalence of loneliness across England. The study finds a large variation in prevalence of loneliness across the country which cannot be explained by local area characteristics such as rurality or multiple deprivation. The results also tend to confirm what has been found in the literature, that widowhood, housing tenure and poor self-reported health are associated with higher prevalence of loneliness, while household size in inversely associated. The author concludes that the estimates can be used to identify hotspots and to design tailor-made interventions to address particular characteristics behind prevalence of loneliness in each area. Having a national or regional picture of the prevalence of loneliness across local areas should be of use in designing and evaluating joined-up policies that can be applied to local initiatives that could counter this problem. (RH). |
| Accession Number | CPA-150329003 E |
| Classmark | DV: F:TP: 4C: 3YA: 5CP: 82 |
Data © Centre for Policy on Ageing |
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| ...from the Ageinfo database published by Centre for Policy on Ageing. |
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