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dc.contributor.authorNobel, Lisa
dc.contributor.authorRoblin, Douglas W.
dc.contributor.authorBecker, Edmund R.
dc.contributor.authorDruss, Benjamin G.
dc.contributor.authorJoski, Peter
dc.contributor.authorAllison, Jeroan J.
dc.date2022-08-11T08:08:19.000
dc.date.accessioned2022-08-23T15:51:13Z
dc.date.available2022-08-23T15:51:13Z
dc.date.issued2017-07-01
dc.date.submitted2017-01-20
dc.identifier.citation<p>Biomarkers. 2017 Jul;22(5):394-402. doi: 10.1080/1354750X.2016.1201535. Epub 2016 Jun 30. <a href="http://dx.doi.org/10.1080/1354750X.2016.1201535">Link to article on publisher's site</a></p>
dc.identifier.issn1354-750X (Linking)
dc.identifier.doi10.1080/1354750X.2016.1201535
dc.identifier.pmid27310889
dc.identifier.urihttp://hdl.handle.net/20.500.14038/28843
dc.description.abstractOBJECTIVE: We developed a measure of allostatic load from electronic medical records (EMRs), which we named "Index of Cardiometabolic Health" (ICMH). METHODS: Data were collected from participants' EMRs and a written survey in 2005. We computed allostatic load scores using the ICMH score and two previously described approaches. RESULTS: We included 1865 employed adults who were 25-59 years old. Although the magnitude of the association was small, all methods of were predictive of SF-12 physical component subscales (all p < 0.001). CONCLUSION: We found that the ICMH had similar relationships with health-related quality of life as previously reported in the literature.
dc.language.isoen_US
dc.relation<p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=27310889&dopt=Abstract">Link to Article in PubMed</a></p>
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5676305/
dc.subjectCardiovascular disease
dc.subjectobesity/diabetes
dc.subjectrenal disease
dc.subjectBiological Factors
dc.subjectHealth Information Technology
dc.titleIndex of cardiometabolic health: a new method of measuring allostatic load using electronic health records
dc.typeJournal Article
dc.source.journaltitleBiomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals
dc.source.volume22
dc.source.issue5
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/faculty_pubs/1080
dc.identifier.contextkey9563378
html.description.abstract<p>OBJECTIVE: We developed a measure of allostatic load from electronic medical records (EMRs), which we named "Index of Cardiometabolic Health" (ICMH).</p> <p>METHODS: Data were collected from participants' EMRs and a written survey in 2005. We computed allostatic load scores using the ICMH score and two previously described approaches.</p> <p>RESULTS: We included 1865 employed adults who were 25-59 years old. Although the magnitude of the association was small, all methods of were predictive of SF-12 physical component subscales (all p < 0.001).</p> <p>CONCLUSION: We found that the ICMH had similar relationships with health-related quality of life as previously reported in the literature.</p>
dc.identifier.submissionpathfaculty_pubs/1080
dc.contributor.departmentDepartment of Quantitative Health Sciences
dc.source.pages394-402


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