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Centre for Policy on Ageing | |
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Exploring psychosocial pathways between neighbourhood characteristics and stroke in older adults the cardiovascular health study | Author(s) | Tingjian Yan, José J Escarce, Li-Jung Liang |
Journal title | Age and Ageing, vol 42, no 3, May 2013 |
Publisher | Oxford University Press, May 2013 |
Pages | pp 391-397 |
Source | www.ageing.oxfordjournals.org |
Keywords | Stroke ; Socio-economic groups [elderly] ; Neighbourhoods, communities etc ; Deprived areas ; Social inclusion ; Social contacts ; Mental health [elderly] ; Depression ; Clinical surveys ; Longitudinal surveys. |
Annotation | The authors aimed to investigate whether psychosocial pathways mediate the association between neighbourhood socioeconomic disadvantage and stroke. The research was part of the Cardiovascular Health Study, a longitudinal population-based cohort study of older adults aged 65 years or above, in which the participants were followed up over 11.5 years. The primary outcome was adjudicated incident ischaemic stroke. Neighbourhood socioeconomic status (NSES) was measured using a composite of six census-tract variables. Psychosocial factors were assessed with standard measures for depression, social support and social networks. Of the 3,834 white participants with no prior stroke, 548 had an incident ischaemic stroke over the 11.5-year follow-up. Among whites, the incident stroke hazard ratio (HR) associated with living in the lowest relative to highest NSES quartile was 1.32 (95% CI = 1.01_1.73), in models adjusted for individual SES. Additional adjustment for psychosocial factors had a minimal effect on hazard of incident stroke (HR = 1.31, CI = 1.00_1.71). Associations between NSES and stroke incidence were not found among African-Americans (n = 785) in either partially or fully adjusted models. The study concludes that psychosocial factors played a minimal role in mediating the effect of NSES on stroke incidence among white older adults. (JL). |
Accession Number | CPA-130510213 A |
Classmark | CQA: F:T4: RH: RN: RNA: TOA: D: ENR: 3G: 3J |
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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