Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.diabres.2012.11.005
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dc.titleMetabolic syndrome and mortality in the elderly: A time-dependent association
dc.contributor.authorGhaem Maralani, H.
dc.contributor.authorTai, B.C.
dc.contributor.authorWong, T.Y.
dc.contributor.authorTai, E.S.
dc.contributor.authorLi, J.
dc.contributor.authorWang, J.J.
dc.contributor.authorMitchell, P.
dc.date.accessioned2014-11-25T09:06:23Z
dc.date.available2014-11-25T09:06:23Z
dc.date.issued2013-02
dc.identifier.citationGhaem Maralani, H., Tai, B.C., Wong, T.Y., Tai, E.S., Li, J., Wang, J.J., Mitchell, P. (2013-02). Metabolic syndrome and mortality in the elderly: A time-dependent association. Diabetes Research and Clinical Practice 99 (2) : 209-216. ScholarBank@NUS Repository. https://doi.org/10.1016/j.diabres.2012.11.005
dc.identifier.issn01688227
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/108212
dc.description.abstractAims: To evaluate the association between metabolic syndrome (MetS) components and mortality over time. Methods: 3086 residents aged ≥49 years were followed in the Blue Mountains Eye Study, Australia. MetS components as defined by the International Diabetes Federation criteria were measured at baseline (1992-1994), 5-year (1997-1999) and 10-year (2002-2004). Using Cox proportional hazards and competing risks models with MetS as a time-dependent covariate, we estimated the effects of MetS on all-cause and cause-specific mortality. Time-dependent receiver-operating-characteristic curve, integrated-discrimination-improvement and net-reclassification-improvement tests assessed predicting abilities of individual and combined MetS components. Results: Effect of MetS on mortality increased with time: all cause: 2-year: adjusted hazard ratio 0.96 [95% confidence interval 0.69-1.34]; 5-year: 1.06 [0.84-1.32]; 10-year: 1.23 [1.01-1.51]; and CHD: 2-year: 0.46 [0.20-1.03]; 5-year: 0.70 [0.41-1.21]; 10-year: 1.62 [1.02-2.59]. Conversely, MetS was associated with an increased risk of cancer death at 2-year only: 1.62 [1.01-2.62]; but not 5-year: 1.30 [0.94-1.81] or 10-year: 0.90 [0.57-1.44]. The discrimination analyses showed that different MetS components were associated with different causes of death. Conclusions: The long-term effect of MetS on all-cause and CHD mortality in an older population was detected using time-dependent models while simulating the real scenarios of MetS changes over time. © 2012 Elsevier Ireland Ltd.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.diabres.2012.11.005
dc.sourceScopus
dc.subjectAll-cause mortality
dc.subjectBlue Mountains Eye Study
dc.subjectCause-specific mortality
dc.subjectMetabolic syndrome
dc.subjectTime-dependent
dc.typeArticle
dc.contributor.departmentSTATISTICS & APPLIED PROBABILITY
dc.contributor.departmentSAW SWEE HOCK SCHOOL OF PUBLIC HEALTH
dc.contributor.departmentOPHTHALMOLOGY
dc.description.doi10.1016/j.diabres.2012.11.005
dc.description.sourcetitleDiabetes Research and Clinical Practice
dc.description.volume99
dc.description.issue2
dc.description.page209-216
dc.description.codenDRCPE
dc.identifier.isiut000317122400023
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