Multivariate models of self-reported health often neglected essential candidate determinants and methodological issues
dc.contributor.author | Mantzavinis, G. D. | en |
dc.contributor.author | Pappas, N. | en |
dc.contributor.author | Dimoliatis, I. D. | en |
dc.contributor.author | Ioannidis, J. P. | en |
dc.date.accessioned | 2015-11-24T19:02:57Z | |
dc.date.available | 2015-11-24T19:02:57Z | |
dc.identifier.issn | 0895-4356 | - |
dc.identifier.uri | https://olympias.lib.uoi.gr/jspui/handle/123456789/19851 | |
dc.rights | Default Licence | - |
dc.subject | Epidemiologic Research Design | en |
dc.subject | *Health Status | en |
dc.subject | Humans | en |
dc.subject | Models, Statistical | en |
dc.subject | Multivariate Analysis | en |
dc.subject | Quality of Life | en |
dc.subject | *Self-Assessment | en |
dc.title | Multivariate models of self-reported health often neglected essential candidate determinants and methodological issues | en |
heal.abstract | BACKGROUND AND OBJECTIVE: Self-reported health is an important indicator of overall well-being that may be influenced by diverse parameters. We intended to evaluate the variety of candidate determinants used in models of self-reported health (SRH) and to examine the methodological problems encountered in multivariate models used in recent studies in this field. STUDY DESIGN AND SETTING: Medline searches identified articles published in 2002 in which SRH was included as an outcome, at least one other variable was used as a determinant of SRH, and the study population was not defined by the presence of specific diseases. RESULTS: Of 1,991 initially identified reports, 56 were eligible. In 91% of the eligible articles, multivariate models were used. In total, 133 different determinants of SRH were considered (median 7 determinants considered per study with multivariate models). The proportions of studies with problems in multivariate modeling were: overfitting, 10%; nonconformity to a linear gradient, 29%; no report of tests for interactions, 63%; unspecified coding of variables, 49%; and unspecified selection of variables, 29%. CONCLUSION: Models that try to identify what influences SRH should consider appropriate lists of candidate determinants, with proper attention to methodological aspects of multivariate modeling. | en |
heal.access | campus | - |
heal.fullTextAvailability | TRUE | - |
heal.identifier.primary | 10.1016/j.jclinepi.2004.08.016 | - |
heal.identifier.secondary | http://www.ncbi.nlm.nih.gov/pubmed/15845329 | - |
heal.identifier.secondary | http://ac.els-cdn.com/S0895435604003506/1-s2.0-S0895435604003506-main.pdf?_tid=84c73459f388c1320ff9c2a1376d6f4d&acdnat=1333364345_ea8fcd850e48cc5067beab005af3f9aa | - |
heal.journalName | J Clin Epidemiol | en |
heal.journalType | peer-reviewed | - |
heal.language | en | - |
heal.publicationDate | 2005 | - |
heal.recordProvider | Πανεπιστήμιο Ιωαννίνων. Σχολή Επιστημών Υγείας. Τμήμα Ιατρικής | el |
heal.type | journalArticle | - |
heal.type.el | Άρθρο Περιοδικού | el |
heal.type.en | Journal article | en |
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