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Association of changes in predicted body composition with subsequent risk of dementia

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dc.contributor.authorKim, Sung Min-
dc.contributor.authorChoi, Seulggie-
dc.contributor.authorLee, Gyeongsil-
dc.contributor.authorOh, Yun Hwan-
dc.contributor.authorSon, Joung Sik-
dc.contributor.authorKo, Ahryoung-
dc.contributor.authorKim, Ji Soo-
dc.contributor.authorCho, Yoosun-
dc.contributor.authorKeum, Nana-
dc.contributor.authorPark, Sang Min-
dc.date.accessioned2024-08-08T13:32:24Z-
dc.date.available2024-08-08T13:32:24Z-
dc.date.issued2024-08-
dc.identifier.issn2328-9503-
dc.identifier.issn2328-9503-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/22693-
dc.description.abstractObjectiveThe effect of body composition change on the risk of dementia is not clear. This study analyzed the associations of changes in predicted lean body mass index (pLBMI), predicted appendicular skeletal muscle mass index (pASMI), and predicted body fat mass index (pBFMI) with the risk of dementia.MethodsIn this nationwide cohort study, data were obtained from the Korean National Health Insurance Service database. The exposure was defined as changes in pLBMI, pASMI, and pBFMI derived from validated prediction equations. The outcome was dementia, defined based on the dementia diagnosis with prescription of anti-dementia medication. Cox proportional hazards regression analyses were performed to obtain the hazard ratio with a 95% confidence interval for risk of dementia according to changes in predicted body composition.ResultsA total of 13,215,208 individuals with no prior record of dementia who underwent health screenings twice between 2009-2010 and 2011-2012 were included. A 1-kg/m2 increase in pLBMI and pASMI had an association with reduced risk of dementia (aHR: 0.85, 95% CI 0.84-0.87; aHR: 0.70, 95% CI 0.69-0.72, respectively for men, and aHR: 0.69, 95% CI 0.67-0.71; aHR: 0.59, 95% CI 0.57-0.61, respectively for women). A 1-kg/m2 increase in pBFMI had an association with a raised risk of dementia (aHR: 1.19, 95% CI 1.17-1.21 for men and aHR: 1.53, 95% CI 1.48-1.57 for women). These results remained consistent regardless of sex or weight change.InterpretationIncrease in pLBMI or pASMI, or reduction in pBFMI was linked to lower risk of dementia.-
dc.format.extent12-
dc.language영어-
dc.language.isoENG-
dc.publisherJohn Wiley and Sons Ltd-
dc.titleAssociation of changes in predicted body composition with subsequent risk of dementia-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1002/acn3.52096-
dc.identifier.scopusid2-s2.0-85198641987-
dc.identifier.wosid001271132800001-
dc.identifier.bibliographicCitationAnnals of Clinical and Translational Neurology, v.11, no.8, pp 1 - 12-
dc.citation.titleAnnals of Clinical and Translational Neurology-
dc.citation.volume11-
dc.citation.number8-
dc.citation.startPage1-
dc.citation.endPage12-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaNeurosciences & Neurology-
dc.relation.journalWebOfScienceCategoryClinical Neurology-
dc.relation.journalWebOfScienceCategoryNeurosciences-
dc.subject.keywordPlusALZHEIMERS-DISEASE-
dc.subject.keywordPlusMASS INDEX-
dc.subject.keywordPlusFOLLOW-UP-
dc.subject.keywordPlusLATE-LIFE-
dc.subject.keywordPlusCARDIOVASCULAR-HEALTH-
dc.subject.keywordPlusCOGNITIVE IMPAIRMENT-
dc.subject.keywordPlusSEX-DIFFERENCES-
dc.subject.keywordPlusOBESITY-
dc.subject.keywordPlusADIPOSITY-
dc.subject.keywordPlusMIDLIFE-
dc.subject.keywordAuthorDonepezil-
dc.subject.keywordAuthorGalantamine-
dc.subject.keywordAuthorRivastigmine-
dc.subject.keywordAuthorTacrine-
dc.subject.keywordAuthorSas 9.4 Software-
dc.subject.keywordAuthorDonepezil-
dc.subject.keywordAuthorGalantamine-
dc.subject.keywordAuthorRivastigmine-
dc.subject.keywordAuthorTacrine-
dc.subject.keywordAuthorAdult-
dc.subject.keywordAuthorAlcohol Consumption-
dc.subject.keywordAuthorAnonymization-
dc.subject.keywordAuthorAppendicular Skeletal Muscle Mass Index-
dc.subject.keywordAuthorArticle-
dc.subject.keywordAuthorBody Composition-
dc.subject.keywordAuthorBody Mass-
dc.subject.keywordAuthorBody Weight Change-
dc.subject.keywordAuthorCharlson Comorbidity Index-
dc.subject.keywordAuthorCholesterol Blood Level-
dc.subject.keywordAuthorCohort Analysis-
dc.subject.keywordAuthorDementia-
dc.subject.keywordAuthorFat Mass-
dc.subject.keywordAuthorFemale-
dc.subject.keywordAuthorHealth Behavior-
dc.subject.keywordAuthorHuman-
dc.subject.keywordAuthorLinear Regression Analysis-
dc.subject.keywordAuthorMale-
dc.subject.keywordAuthorMass Screening-
dc.subject.keywordAuthorMedical Examination-
dc.subject.keywordAuthorMuscle Mass-
dc.subject.keywordAuthorNational Health Insurance-
dc.subject.keywordAuthorPhysical Activity-
dc.subject.keywordAuthorSystolic Blood Pressure-
dc.subject.keywordAuthorAged-
dc.subject.keywordAuthorEpidemiology-
dc.subject.keywordAuthorEtiology-
dc.subject.keywordAuthorMiddle Aged-
dc.subject.keywordAuthorPhysiology-
dc.subject.keywordAuthorRisk Factor-
dc.subject.keywordAuthorSkeletal Muscle-
dc.subject.keywordAuthorSouth Korea-
dc.subject.keywordAuthorVery Elderly-
dc.subject.keywordAuthorAdult-
dc.subject.keywordAuthorAged-
dc.subject.keywordAuthorAged, 80 And Over-
dc.subject.keywordAuthorBody Composition-
dc.subject.keywordAuthorBody Mass Index-
dc.subject.keywordAuthorCohort Studies-
dc.subject.keywordAuthorDementia-
dc.subject.keywordAuthorFemale-
dc.subject.keywordAuthorHumans-
dc.subject.keywordAuthorMale-
dc.subject.keywordAuthorMiddle Aged-
dc.subject.keywordAuthorMuscle, Skeletal-
dc.subject.keywordAuthorRepublic Of Korea-
dc.subject.keywordAuthorRisk Factors-
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