| Title |
The role of socio-economic status and neighborhood social capital on loneliness among older adults: evidence from the Sant Boi Aging Study
|
|---|---|
| Published in |
Social Psychiatry and Psychiatric Epidemiology, June 2017
|
| DOI | 10.1007/s00127-017-1406-9 |
| Pubmed ID | |
| Authors |
Joan Domènech-Abella, Jordi Mundó, Elvira Lara, Maria Victoria Moneta, Josep Maria Haro, Beatriz Olaya |
| Abstract |
The aim of the present study is to analyze the role of age in the association between socio-economic status (SES) and loneliness as well as the role of neighborhood social capital (NSC) in the association between individual social capital and loneliness. Data include a representative population-based sample from Sant Boi de Llobregat (a suburb of Barcelona) of 1124 adults aged 50 and over. Logistic regression models were used to analyze the survey data. Interactions between SES and age, and NSC and individual social capital were explored. Among the poorest older adults, older individuals showed a lower likelihood of loneliness (OR 0.09, 95% CI 0.02, 0.30, p < 0.05) compared with the youngest cohort after adjusting for covariates, while among the richest individuals there were no significant differences among age cohorts. Individuals living in an area with high NSC and high individual social capital showed a lower likelihood of loneliness (OR 0.36, 95% CI 0.17, 0.73, p < 0.05) compared with those with low individual social capital after adjusting for covariates. The effect of individual social capital was not significant among individuals living in an area with low NSC. Interventions focusing on low SES middle-aged (50-59 years old) individuals and those aiming to increase NSC could be effective strategies to reduce the prevalence of loneliness in older people. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 25% |
| United Kingdom | 1 | 25% |
| Germany | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 97 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 14% |
| Student > Master | 14 | 14% |
| Unspecified | 9 | 9% |
| Student > Bachelor | 9 | 9% |
| Student > Doctoral Student | 8 | 8% |
| Other | 20 | 21% |
| Unknown | 23 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 22 | 23% |
| Psychology | 17 | 18% |
| Unspecified | 9 | 9% |
| Nursing and Health Professions | 8 | 8% |
| Medicine and Dentistry | 7 | 7% |
| Other | 7 | 7% |
| Unknown | 27 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 July 2017.
All research outputs
#7,838,439
of 23,794,258 outputs
Outputs from Social Psychiatry and Psychiatric Epidemiology
#1,315
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Outputs of similar age
#121,743
of 317,546 outputs
Outputs of similar age from Social Psychiatry and Psychiatric Epidemiology
#20
of 31 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
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