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rdf:type |
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lifeskim:mentions |
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pubmed:issue |
2
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pubmed:dateCreated |
2011-3-29
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pubmed:abstractText |
Clinical scientists, policymakers, and individuals must make decisions concerning effective interventions that address health-related issues. We use longitudinal data on loneliness and depressive symptoms and a new class of causal models to illustrate how empirical evidence can be used to inform intervention trial design and clinical practice.
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pubmed:grant |
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Apr
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pubmed:issn |
1939-2117
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pubmed:author |
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pubmed:copyrightInfo |
(c) 2011 APA, all rights reserved.
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pubmed:issnType |
Electronic
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pubmed:volume |
79
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
225-35
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pubmed:meshHeading |
pubmed-meshheading:21443322-Depression,
pubmed-meshheading:21443322-Diagnostic Self Evaluation,
pubmed-meshheading:21443322-Female,
pubmed-meshheading:21443322-Health Surveys,
pubmed-meshheading:21443322-Humans,
pubmed-meshheading:21443322-Loneliness,
pubmed-meshheading:21443322-Male,
pubmed-meshheading:21443322-Middle Aged,
pubmed-meshheading:21443322-Models, Psychological,
pubmed-meshheading:21443322-Psychiatric Status Rating Scales,
pubmed-meshheading:21443322-Questionnaires
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pubmed:year |
2011
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pubmed:articleTitle |
A marginal structural model analysis for loneliness: implications for intervention trials and clinical practice.
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pubmed:affiliation |
Harvard University, Department of Epidemiology, Harvard School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA. tvanderw@hsph.harvard.edu
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pubmed:publicationType |
Journal Article,
Research Support, N.I.H., Extramural
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