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dc.contributor.authorAzarbal, Farnaz
dc.contributor.authorStefanick, Marcia L.
dc.contributor.authorAssimes, Themistocles L.
dc.contributor.authorManson, JoAnn E.
dc.contributor.authorBea, Jennifer W.
dc.contributor.authorLi, Wenjun
dc.contributor.authorHlatky, Mark A.
dc.contributor.authorLarson, Joseph C.
dc.contributor.authorLeBlanc, Erin S.
dc.contributor.authorAlbert, Christine M.
dc.contributor.authorNassir, Rami
dc.contributor.authorMartin, Lisa W.
dc.contributor.authorPerez, Marco V.
dc.date2022-08-11T08:08:34.000
dc.date.accessioned2022-08-23T15:59:23Z
dc.date.available2022-08-23T15:59:23Z
dc.date.issued2015-09-14
dc.date.submitted2016-03-23
dc.identifier.citationEur Heart J. 2015 Sep 14. pii: ehv423. <a href="http://dx.doi.org/10.1093/eurheartj/ehv423">Link to article on publisher's site</a>
dc.identifier.issn0195-668X (Linking)
dc.identifier.doi10.1093/eurheartj/ehv423
dc.identifier.pmid26371115
dc.identifier.urihttp://hdl.handle.net/20.500.14038/30655
dc.description.abstractAIMS: High body mass index (BMI) is a risk factor for atrial fibrillation (AF). The aim of this study was to determine whether lean body mass (LBM) predicts AF. METHODS AND RESULTS: The Women's Health Initiative is a study of post-menopausal women aged 50-79 enrolled at 40 US centres from 1994 to 1998. A subset of 11 393 participants at three centres underwent dual-energy X-ray absorptiometry. Baseline demographics and clinical histories were recorded. Incident AF was identified using hospitalization records and diagnostic codes from Medicare claims. A multivariable Cox hazard regression model adjusted for demographic and clinical risk factors was used to evaluate associations between components of body composition and AF risk. After exclusion for prevalent AF or incomplete data, 8832 participants with an average age of 63.3 years remained for analysis. Over the 11.6 years of average follow-up time, 1035 women developed incident AF. After covariate adjustment, all measures of LBM were independently associated with higher rates of AF: total LBM [hazard ratio (HR) 1.24 per 5 kg increase, 95% confidence intervals (CI) 1.14-1.34], central LBM (HR 1.51 per 5 kg increase, 95% CI 1.31-1.74), and peripheral LBM (HR 1.39 per 5 kg increase, 95% CI 1.19-1.63). The association between total LBM and AF remained significant after adjustment for total fat mass (HR 1.22 per 5 kg increase, 95% CI 1.13-1.31). CONCLUSION: Greater LBM is a strong independent risk factor for AF. After adjusting for obesity-related risk factors, the risk of AF conferred by higher BMI is primarily driven by the association between LBM and AF.
dc.language.isoen_US
dc.relation<a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=26371115&dopt=Abstract">Link to Article in PubMed</a>
dc.relation.urlhttp://dx.doi.org/10.1093/eurheartj/ehv423
dc.subjectArrhythmia
dc.subjectAtrial fibrillation
dc.subjectEpidemiology
dc.subjectCardiology
dc.subjectCardiovascular Diseases
dc.subjectWomen's Health
dc.titleLean body mass and risk of incident atrial fibrillation in post-menopausal women
dc.typeJournal Article
dc.source.journaltitleEuropean heart journal
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/faculty_pubs/932
dc.identifier.contextkey8371025
html.description.abstract<p>AIMS: High body mass index (BMI) is a risk factor for atrial fibrillation (AF). The aim of this study was to determine whether lean body mass (LBM) predicts AF.</p> <p>METHODS AND RESULTS: The Women's Health Initiative is a study of post-menopausal women aged 50-79 enrolled at 40 US centres from 1994 to 1998. A subset of 11 393 participants at three centres underwent dual-energy X-ray absorptiometry. Baseline demographics and clinical histories were recorded. Incident AF was identified using hospitalization records and diagnostic codes from Medicare claims. A multivariable Cox hazard regression model adjusted for demographic and clinical risk factors was used to evaluate associations between components of body composition and AF risk. After exclusion for prevalent AF or incomplete data, 8832 participants with an average age of 63.3 years remained for analysis. Over the 11.6 years of average follow-up time, 1035 women developed incident AF. After covariate adjustment, all measures of LBM were independently associated with higher rates of AF: total LBM [hazard ratio (HR) 1.24 per 5 kg increase, 95% confidence intervals (CI) 1.14-1.34], central LBM (HR 1.51 per 5 kg increase, 95% CI 1.31-1.74), and peripheral LBM (HR 1.39 per 5 kg increase, 95% CI 1.19-1.63). The association between total LBM and AF remained significant after adjustment for total fat mass (HR 1.22 per 5 kg increase, 95% CI 1.13-1.31).</p> <p>CONCLUSION: Greater LBM is a strong independent risk factor for AF. After adjusting for obesity-related risk factors, the risk of AF conferred by higher BMI is primarily driven by the association between LBM and AF.</p>
dc.identifier.submissionpathfaculty_pubs/932
dc.contributor.departmentPrevention Research Center
dc.contributor.departmentDepartment of Medicine, Division of Preventive and Behavioral Medicine


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