Multiple Informants: Mortality Associated with Psychiatric Disorders in the Stirling County Study
This paper applies new statistical procedures for analyzing multiple-source information about the relation of psychiatric diagnoses to mortality. The data come from the Stirling County Study, a longitudinal community investigation of adults, that collected multiple-source reports (self-report and ph...
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| Veröffentlicht in: | American journal of epidemiology 2001-10, Vol.154 (7), p.649-656 |
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| container_title | American journal of epidemiology |
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| creator | Horton, Nicholas J. Laird, Nan M. Murphy, Jane M. Monson, Richard R. Sobol, Arthur M. Leighton, Alexander H. |
| description | This paper applies new statistical procedures for analyzing multiple-source information about the relation of psychiatric diagnoses to mortality. The data come from the Stirling County Study, a longitudinal community investigation of adults, that collected multiple-source reports (self-report and physician-report) about psychiatric disorders. These reports are used as predictors of mortality risk over a 16-year follow-up period (1952–1968). Despite extensive efforts, one or both of these reports were sometimes missing. Missingness of self-report was related to demographic characteristics as well as to physician-reports of psychiatric diagnosis. The statistical procedures used here draw together into a single frame of reference both informant reports for the initial Stirling survey and relate these to mortality risk using weighted generalized estimating equation regression models for time to event data. This unified method has two advantages over traditional approaches: 1) the relative predictiveness of each informant can be assessed and 2) all subjects contribute to the analysis. The methods are applicable to other areas of epidemiology where multiple informant reports are used. The results for self-reports and physician-reports of disorders were comparable: Psychiatric diagnosis was associated with higher mortality, particularly among younger subjects. |
| doi_str_mv | 10.1093/aje/154.7.649 |
| format | Article |
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The data come from the Stirling County Study, a longitudinal community investigation of adults, that collected multiple-source reports (self-report and physician-report) about psychiatric disorders. These reports are used as predictors of mortality risk over a 16-year follow-up period (1952–1968). Despite extensive efforts, one or both of these reports were sometimes missing. Missingness of self-report was related to demographic characteristics as well as to physician-reports of psychiatric diagnosis. The statistical procedures used here draw together into a single frame of reference both informant reports for the initial Stirling survey and relate these to mortality risk using weighted generalized estimating equation regression models for time to event data. This unified method has two advantages over traditional approaches: 1) the relative predictiveness of each informant can be assessed and 2) all subjects contribute to the analysis. The methods are applicable to other areas of epidemiology where multiple informant reports are used. The results for self-reports and physician-reports of disorders were comparable: Psychiatric diagnosis was associated with higher mortality, particularly among younger subjects.</description><identifier>ISSN: 0002-9262</identifier><identifier>EISSN: 1476-6256</identifier><identifier>EISSN: 0002-9262</identifier><identifier>DOI: 10.1093/aje/154.7.649</identifier><identifier>PMID: 11581099</identifier><identifier>CODEN: AJEPAS</identifier><language>eng</language><publisher>Cary, NC: Oxford University Press</publisher><subject>Adolescent ; Adult ; Aged ; Aged, 80 and over ; Biological and medical sciences ; Data Collection ; DPAX ; Epidemiologic Methods ; Epidemiology ; estimating equation ; Family Practice ; Female ; Follow-Up Studies ; GEE ; General aspects ; general physician data ; generalized estimating equation ; GP-DATA ; Humans ; Interviews as Topic ; Likelihood Functions ; Logistic Models ; Male ; Medical sciences ; Mental Disorders - mortality ; Methodology ; Middle Aged ; missing data ; Public health. Hygiene ; Public health. Hygiene-occupational medicine ; regression ; Risk Factors ; Self Disclosure ; self-reported data on depression and anxiety ; Survival Analysis</subject><ispartof>American journal of epidemiology, 2001-10, Vol.154 (7), p.649-656</ispartof><rights>2002 INIST-CNRS</rights><rights>Copyright Oxford University Press(England) Oct 01, 2001</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c423t-30fe4b0a25b2dc83f2e7c2a0064a051ac0b5455d6f5c9defc4bb6f95bfe2e83e3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=14135075$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/11581099$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Horton, Nicholas J.</creatorcontrib><creatorcontrib>Laird, Nan M.</creatorcontrib><creatorcontrib>Murphy, Jane M.</creatorcontrib><creatorcontrib>Monson, Richard R.</creatorcontrib><creatorcontrib>Sobol, Arthur M.</creatorcontrib><creatorcontrib>Leighton, Alexander H.</creatorcontrib><title>Multiple Informants: Mortality Associated with Psychiatric Disorders in the Stirling County Study</title><title>American journal of epidemiology</title><addtitle>Am. J. Epidemiol</addtitle><description>This paper applies new statistical procedures for analyzing multiple-source information about the relation of psychiatric diagnoses to mortality. The data come from the Stirling County Study, a longitudinal community investigation of adults, that collected multiple-source reports (self-report and physician-report) about psychiatric disorders. These reports are used as predictors of mortality risk over a 16-year follow-up period (1952–1968). Despite extensive efforts, one or both of these reports were sometimes missing. Missingness of self-report was related to demographic characteristics as well as to physician-reports of psychiatric diagnosis. The statistical procedures used here draw together into a single frame of reference both informant reports for the initial Stirling survey and relate these to mortality risk using weighted generalized estimating equation regression models for time to event data. This unified method has two advantages over traditional approaches: 1) the relative predictiveness of each informant can be assessed and 2) all subjects contribute to the analysis. The methods are applicable to other areas of epidemiology where multiple informant reports are used. The results for self-reports and physician-reports of disorders were comparable: Psychiatric diagnosis was associated with higher mortality, particularly among younger subjects.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Biological and medical sciences</subject><subject>Data Collection</subject><subject>DPAX</subject><subject>Epidemiologic Methods</subject><subject>Epidemiology</subject><subject>estimating equation</subject><subject>Family Practice</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>GEE</subject><subject>General aspects</subject><subject>general physician data</subject><subject>generalized estimating equation</subject><subject>GP-DATA</subject><subject>Humans</subject><subject>Interviews as Topic</subject><subject>Likelihood Functions</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Mental Disorders - mortality</subject><subject>Methodology</subject><subject>Middle Aged</subject><subject>missing data</subject><subject>Public health. Hygiene</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>regression</subject><subject>Risk Factors</subject><subject>Self Disclosure</subject><subject>self-reported data on depression and anxiety</subject><subject>Survival Analysis</subject><issn>0002-9262</issn><issn>1476-6256</issn><issn>0002-9262</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkEtvEzEQgC1UREPLsdfKqgS3Tf3eLLcSHi1qRUSLVPVieb3jxmGzDrZXkH-PUSMi9TQazTevD6ETSqaUNPzcrOCcSjGtp0o0L9CEilpVikl1gCaEEFY1TLFD9DqlFSGUNpK8QoeUylnpbibI3Ix99pse8NXgQlybIaf3-CbEbHqft_gipWC9ydDh3z4v8SJt7bLk0Vv80acQO4gJ-wHnJeDb7GPvh0c8D-NQmm_z2G2P0Utn-gRvdvEI_fj86W5-WV1_-3I1v7iurGA8V5w4EC0xTLasszPuGNSWGUKUMERSY0krhZSdctI2HTgr2la5RrYOGMw48CP07mnuJoZfI6Ss1z5Z6HszQBiTrikr7zNawLNn4CqMcSi3acZlQwSXqkDVE2RjSCmC05vo1yZuNSX6n3hdxOsiXte6iC_86W7o2K6h29M70wV4uwNMsqZ30QzWpz0nKJeklvvFPmX4879u4k-tal5LfXn_oMWHxdfv93dUL_hfqC2cKA</recordid><startdate>20011001</startdate><enddate>20011001</enddate><creator>Horton, Nicholas J.</creator><creator>Laird, Nan M.</creator><creator>Murphy, Jane M.</creator><creator>Monson, Richard R.</creator><creator>Sobol, Arthur M.</creator><creator>Leighton, Alexander H.</creator><general>Oxford University Press</general><general>Oxford Publishing Limited (England)</general><scope>BSCLL</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QP</scope><scope>7T2</scope><scope>7TK</scope><scope>7U7</scope><scope>7U9</scope><scope>C1K</scope><scope>H94</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope></search><sort><creationdate>20011001</creationdate><title>Multiple Informants: Mortality Associated with Psychiatric Disorders in the Stirling County Study</title><author>Horton, Nicholas J. ; Laird, Nan M. ; Murphy, Jane M. ; Monson, Richard R. ; Sobol, Arthur M. ; Leighton, Alexander H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c423t-30fe4b0a25b2dc83f2e7c2a0064a051ac0b5455d6f5c9defc4bb6f95bfe2e83e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2001</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Biological and medical sciences</topic><topic>Data Collection</topic><topic>DPAX</topic><topic>Epidemiologic Methods</topic><topic>Epidemiology</topic><topic>estimating equation</topic><topic>Family Practice</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>GEE</topic><topic>General aspects</topic><topic>general physician data</topic><topic>generalized estimating equation</topic><topic>GP-DATA</topic><topic>Humans</topic><topic>Interviews as Topic</topic><topic>Likelihood Functions</topic><topic>Logistic Models</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Mental Disorders - mortality</topic><topic>Methodology</topic><topic>Middle Aged</topic><topic>missing data</topic><topic>Public health. Hygiene</topic><topic>Public health. Hygiene-occupational medicine</topic><topic>regression</topic><topic>Risk Factors</topic><topic>Self Disclosure</topic><topic>self-reported data on depression and anxiety</topic><topic>Survival Analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Horton, Nicholas J.</creatorcontrib><creatorcontrib>Laird, Nan M.</creatorcontrib><creatorcontrib>Murphy, Jane M.</creatorcontrib><creatorcontrib>Monson, Richard R.</creatorcontrib><creatorcontrib>Sobol, Arthur M.</creatorcontrib><creatorcontrib>Leighton, Alexander H.</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>American journal of epidemiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Horton, Nicholas J.</au><au>Laird, Nan M.</au><au>Murphy, Jane M.</au><au>Monson, Richard R.</au><au>Sobol, Arthur M.</au><au>Leighton, Alexander H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multiple Informants: Mortality Associated with Psychiatric Disorders in the Stirling County Study</atitle><jtitle>American journal of epidemiology</jtitle><addtitle>Am. J. Epidemiol</addtitle><date>2001-10-01</date><risdate>2001</risdate><volume>154</volume><issue>7</issue><spage>649</spage><epage>656</epage><pages>649-656</pages><issn>0002-9262</issn><eissn>1476-6256</eissn><eissn>0002-9262</eissn><coden>AJEPAS</coden><abstract>This paper applies new statistical procedures for analyzing multiple-source information about the relation of psychiatric diagnoses to mortality. The data come from the Stirling County Study, a longitudinal community investigation of adults, that collected multiple-source reports (self-report and physician-report) about psychiatric disorders. These reports are used as predictors of mortality risk over a 16-year follow-up period (1952–1968). Despite extensive efforts, one or both of these reports were sometimes missing. Missingness of self-report was related to demographic characteristics as well as to physician-reports of psychiatric diagnosis. The statistical procedures used here draw together into a single frame of reference both informant reports for the initial Stirling survey and relate these to mortality risk using weighted generalized estimating equation regression models for time to event data. This unified method has two advantages over traditional approaches: 1) the relative predictiveness of each informant can be assessed and 2) all subjects contribute to the analysis. The methods are applicable to other areas of epidemiology where multiple informant reports are used. The results for self-reports and physician-reports of disorders were comparable: Psychiatric diagnosis was associated with higher mortality, particularly among younger subjects.</abstract><cop>Cary, NC</cop><pub>Oxford University Press</pub><pmid>11581099</pmid><doi>10.1093/aje/154.7.649</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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| source | MEDLINE; Oxford University Press Journals All Titles (1996-Current); EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection |
| subjects | Adolescent Adult Aged Aged, 80 and over Biological and medical sciences Data Collection DPAX Epidemiologic Methods Epidemiology estimating equation Family Practice Female Follow-Up Studies GEE General aspects general physician data generalized estimating equation GP-DATA Humans Interviews as Topic Likelihood Functions Logistic Models Male Medical sciences Mental Disorders - mortality Methodology Middle Aged missing data Public health. Hygiene Public health. Hygiene-occupational medicine regression Risk Factors Self Disclosure self-reported data on depression and anxiety Survival Analysis |
| title | Multiple Informants: Mortality Associated with Psychiatric Disorders in the Stirling County Study |
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