Index of cardiometabolic health: a new method of measuring allostatic load using electronic health records
dc.contributor.author | Nobel, Lisa | |
dc.contributor.author | Roblin, Douglas W. | |
dc.contributor.author | Becker, Edmund R. | |
dc.contributor.author | Druss, Benjamin G. | |
dc.contributor.author | Joski, Peter | |
dc.contributor.author | Allison, Jeroan J. | |
dc.date | 2022-08-11T08:08:19.000 | |
dc.date.accessioned | 2022-08-23T15:51:13Z | |
dc.date.available | 2022-08-23T15:51:13Z | |
dc.date.issued | 2017-07-01 | |
dc.date.submitted | 2017-01-20 | |
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.issn | 1354-750X (Linking) | |
dc.identifier.doi | 10.1080/1354750X.2016.1201535 | |
dc.identifier.pmid | 27310889 | |
dc.identifier.uri | http://hdl.handle.net/20.500.14038/28843 | |
dc.description.abstract | OBJECTIVE: 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.iso | en_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.url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5676305/ | |
dc.subject | Cardiovascular disease | |
dc.subject | obesity/diabetes | |
dc.subject | renal disease | |
dc.subject | Biological Factors | |
dc.subject | Health Information Technology | |
dc.title | Index of cardiometabolic health: a new method of measuring allostatic load using electronic health records | |
dc.type | Journal Article | |
dc.source.journaltitle | Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals | |
dc.source.volume | 22 | |
dc.source.issue | 5 | |
dc.identifier.legacycoverpage | https://escholarship.umassmed.edu/faculty_pubs/1080 | |
dc.identifier.contextkey | 9563378 | |
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.submissionpath | faculty_pubs/1080 | |
dc.contributor.department | Department of Quantitative Health Sciences | |
dc.source.pages | 394-402 |