Linked Life Data

1442754

Source:http://linkedlifedata.com/resource/pubmed/id/1442754

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
7
pubmed:dateCreated
1992-12-11
pubmed:abstractText
The aim of this paper is to assess the influence of selected psychosocial factors as predictors of stroke incidence in a probability sample of noninstitutionalized elderly. The main psychosocial factor of interest was depression. Marital status, social support, social networks, and religiousness were also assessed as potential antecedent or mediating factors. The data were obtained from a prospective longitudinal study based on 2,812 individuals aged 65 years and over living in New Haven, Connecticut. The incidence of stroke was monitored from the baseline interview in 1982 until December 1988. Depression, measured by the Center for Epidemiologic Studies Depression Scale (CES-D), was measured at baseline as were other predictor variables. Univariate Cox regression analyses revealed that higher CES-D scores were predictive of greater stroke incidence (p < 0.05). More frequent attendance at religious services was associated with lower incidence (p < 0.001). CES-D scores were also correlated with many measures of sociodemographic, health, and physical function factors in our multivariate analysis (p < 0.05). When combined with other significant predictor variables such as age, sex, hypertension, diabetes, physical function, and smoking, neither depression nor religious attendance retained its significance.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Oct
pubmed:issn
0002-9262
pubmed:author
pubmed:issnType
Print
pubmed:day
1
pubmed:volume
136
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
884-94
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:year
1992
pubmed:articleTitle
Depressive symptoms and other psychosocial factors as predictors of stroke in the elderly.
pubmed:affiliation
Department of Epidemiology, University of Pittsburgh, PA.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Research Support, Non-U.S. Gov't