Lean Mass Index: A Better Predictor of Mortality than Body Mass Index in Elderly Asians
OBJECTIVES: To evaluate the correlation between body mass index (BMI), body composition, and all‐cause mortality in an elderly Asian population. DESIGN: A prospective observational cohort study with 3.5‐year follow‐up. SETTING: The Korean Longitudinal Study on Health and Aging Project for elderly re...
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creator | Han, Seung Seok Kim, Ki Woong Kim, Kwang-Il Na, Ki Young Chae, Dong-Wan Kim, Suhnggwon Chin, Ho Jun |
description | OBJECTIVES: To evaluate the correlation between body mass index (BMI), body composition, and all‐cause mortality in an elderly Asian population.
DESIGN: A prospective observational cohort study with 3.5‐year follow‐up.
SETTING: The Korean Longitudinal Study on Health and Aging Project for elderly residents in Seongnam City, Korea.
PARTICIPANTS: Eight hundred seventy‐seven subjects aged 65 and older for whom baseline body composition data was available.
MEASUREMENTS: BMI, waist circumference, and body composition of each subject was evaluated. Body composition was examined using bioelectrical impedance analyses of measures, including lean mass (kg), fat mass (kg), and fat proportion (%). In addition, lean mass index (LMI, kg/m2) was calculated by dividing lean mass by the square of height. Participants were divided into three groups: Group 1 ( |
doi_str_mv | 10.1111/j.1532-5415.2009.02672.x |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_746149880</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>733860562</sourcerecordid><originalsourceid>FETCH-LOGICAL-c6112-2bd51ee68ee74c57d7754e118a7cc1f45ec544dc67cc288760d1bf1424dfc1803</originalsourceid><addsrcrecordid>eNqNkVFv0zAQxy0EYmXwFZCFhHhK8DmO7SLx0FVbt6obIECTeLFc-yJS0mTYqWi__RxaCuJpfrFP_v1Od_oTQoHlkM7bVQ5lwbNSQJlzxsY541LxfPuIjI4fj8mIMcYzLUGckGcxrhgDzrR-Sk6So5gAOSK3C7QtvbYx0qvW4_YdndAz7HsM9GNAX7u-C7Sr6HUXetvU_Y7235Nw1vndPxatW3reeAzNjk5ibdv4nDypbBPxxeE-JV8vzr9ML7PFh9nVdLLInATgGV_6EhClRlTClcorVQoE0FY5B5Uo0ZVCeCdTybVWknlYViC48JUDzYpT8mbf9y50PzcYe7Ouo8OmsS12m2iUSOuP9UPIotCSlZIn8tV_5KrbhDatYTiwQosx0wnSe8iFLsaAlbkL9dqGnQFmhpDMygxZmCELM4Rkfodktkl9eei_Wa7RH8U_qSTg9QGw0dmmCrZ1dfzL8UKPAVTi3u-5X3WDuwcPYOazz8Mr-dner2OP26Nvww8jVaFKc3szM4ubT_Nv8-mFmRf3ET-5TQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>210384908</pqid></control><display><type>article</type><title>Lean Mass Index: A Better Predictor of Mortality than Body Mass Index in Elderly Asians</title><source>MEDLINE</source><source>Wiley Online Library Journals Frontfile Complete</source><creator>Han, Seung Seok ; Kim, Ki Woong ; Kim, Kwang-Il ; Na, Ki Young ; Chae, Dong-Wan ; Kim, Suhnggwon ; Chin, Ho Jun</creator><creatorcontrib>Han, Seung Seok ; Kim, Ki Woong ; Kim, Kwang-Il ; Na, Ki Young ; Chae, Dong-Wan ; Kim, Suhnggwon ; Chin, Ho Jun</creatorcontrib><description>OBJECTIVES: To evaluate the correlation between body mass index (BMI), body composition, and all‐cause mortality in an elderly Asian population.
DESIGN: A prospective observational cohort study with 3.5‐year follow‐up.
SETTING: The Korean Longitudinal Study on Health and Aging Project for elderly residents in Seongnam City, Korea.
PARTICIPANTS: Eight hundred seventy‐seven subjects aged 65 and older for whom baseline body composition data was available.
MEASUREMENTS: BMI, waist circumference, and body composition of each subject was evaluated. Body composition was examined using bioelectrical impedance analyses of measures, including lean mass (kg), fat mass (kg), and fat proportion (%). In addition, lean mass index (LMI, kg/m2) was calculated by dividing lean mass by the square of height. Participants were divided into three groups: Group 1 (<25th percentile), Group 2 (25–75th percentiles), and Group 3 (≥75th percentile) for BMI, waist circumference, body composition, and LMI.
RESULTS: In the fully adjusted Cox proportional hazard model, BMI, waist circumference, and fat composition were not correlated with mortality, but higher lean mass and LMI were considered predictors of lower mortality when comparing Group 3 and Group 1 (in lean mass, relative risk reduction of 84%, 95% confidence interval (CI)=45–96%, P=.004; in LMI, relative risk reduction of 69%, 95% CI=12–89%, P=.03).
CONCLUSION: The present study indicates that the recommendation of low BMI as a means of obtaining a survival advantage in the elderly is not supported. Instead, higher lean mass and higher LMI are associated with better survival in the elderly Asian population.</description><identifier>ISSN: 0002-8614</identifier><identifier>EISSN: 1532-5415</identifier><identifier>DOI: 10.1111/j.1532-5415.2009.02672.x</identifier><identifier>PMID: 20070416</identifier><identifier>CODEN: JAGSAF</identifier><language>eng</language><publisher>Malden, USA: Blackwell Publishing Inc</publisher><subject>Adiposity ; Aged ; Aged, 80 and over ; Asian Continental Ancestry Group - statistics & numerical data ; Biological and medical sciences ; Body Composition ; Body Mass Index ; elderly ; Epidemiology ; fat ; Female ; General aspects ; Humans ; Korea - epidemiology ; lean mass ; Longitudinal Studies ; Male ; Medical sciences ; Miscellaneous ; Mortality ; Mortality - ethnology ; Older people ; Predictions ; Proportional Hazards Models ; Public health. Hygiene ; Public health. Hygiene-occupational medicine ; Risk Factors</subject><ispartof>Journal of the American Geriatrics Society (JAGS), 2010-02, Vol.58 (2), p.312-317</ispartof><rights>2010, Copyright the Authors. Journal compilation © 2010, The American Geriatrics Society</rights><rights>2015 INIST-CNRS</rights><rights>Journal compilation 2010 The American Geriatrics Society/Wiley Periodicals, Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c6112-2bd51ee68ee74c57d7754e118a7cc1f45ec544dc67cc288760d1bf1424dfc1803</citedby><cites>FETCH-LOGICAL-c6112-2bd51ee68ee74c57d7754e118a7cc1f45ec544dc67cc288760d1bf1424dfc1803</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fj.1532-5415.2009.02672.x$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fj.1532-5415.2009.02672.x$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,778,782,1414,27911,27912,45561,45562</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=22389117$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20070416$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Han, Seung Seok</creatorcontrib><creatorcontrib>Kim, Ki Woong</creatorcontrib><creatorcontrib>Kim, Kwang-Il</creatorcontrib><creatorcontrib>Na, Ki Young</creatorcontrib><creatorcontrib>Chae, Dong-Wan</creatorcontrib><creatorcontrib>Kim, Suhnggwon</creatorcontrib><creatorcontrib>Chin, Ho Jun</creatorcontrib><title>Lean Mass Index: A Better Predictor of Mortality than Body Mass Index in Elderly Asians</title><title>Journal of the American Geriatrics Society (JAGS)</title><addtitle>J Am Geriatr Soc</addtitle><description>OBJECTIVES: To evaluate the correlation between body mass index (BMI), body composition, and all‐cause mortality in an elderly Asian population.
DESIGN: A prospective observational cohort study with 3.5‐year follow‐up.
SETTING: The Korean Longitudinal Study on Health and Aging Project for elderly residents in Seongnam City, Korea.
PARTICIPANTS: Eight hundred seventy‐seven subjects aged 65 and older for whom baseline body composition data was available.
MEASUREMENTS: BMI, waist circumference, and body composition of each subject was evaluated. Body composition was examined using bioelectrical impedance analyses of measures, including lean mass (kg), fat mass (kg), and fat proportion (%). In addition, lean mass index (LMI, kg/m2) was calculated by dividing lean mass by the square of height. Participants were divided into three groups: Group 1 (<25th percentile), Group 2 (25–75th percentiles), and Group 3 (≥75th percentile) for BMI, waist circumference, body composition, and LMI.
RESULTS: In the fully adjusted Cox proportional hazard model, BMI, waist circumference, and fat composition were not correlated with mortality, but higher lean mass and LMI were considered predictors of lower mortality when comparing Group 3 and Group 1 (in lean mass, relative risk reduction of 84%, 95% confidence interval (CI)=45–96%, P=.004; in LMI, relative risk reduction of 69%, 95% CI=12–89%, P=.03).
CONCLUSION: The present study indicates that the recommendation of low BMI as a means of obtaining a survival advantage in the elderly is not supported. Instead, higher lean mass and higher LMI are associated with better survival in the elderly Asian population.</description><subject>Adiposity</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Asian Continental Ancestry Group - statistics & numerical data</subject><subject>Biological and medical sciences</subject><subject>Body Composition</subject><subject>Body Mass Index</subject><subject>elderly</subject><subject>Epidemiology</subject><subject>fat</subject><subject>Female</subject><subject>General aspects</subject><subject>Humans</subject><subject>Korea - epidemiology</subject><subject>lean mass</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Miscellaneous</subject><subject>Mortality</subject><subject>Mortality - ethnology</subject><subject>Older people</subject><subject>Predictions</subject><subject>Proportional Hazards Models</subject><subject>Public health. Hygiene</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>Risk Factors</subject><issn>0002-8614</issn><issn>1532-5415</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkVFv0zAQxy0EYmXwFZCFhHhK8DmO7SLx0FVbt6obIECTeLFc-yJS0mTYqWi__RxaCuJpfrFP_v1Od_oTQoHlkM7bVQ5lwbNSQJlzxsY541LxfPuIjI4fj8mIMcYzLUGckGcxrhgDzrR-Sk6So5gAOSK3C7QtvbYx0qvW4_YdndAz7HsM9GNAX7u-C7Sr6HUXetvU_Y7235Nw1vndPxatW3reeAzNjk5ibdv4nDypbBPxxeE-JV8vzr9ML7PFh9nVdLLInATgGV_6EhClRlTClcorVQoE0FY5B5Uo0ZVCeCdTybVWknlYViC48JUDzYpT8mbf9y50PzcYe7Ouo8OmsS12m2iUSOuP9UPIotCSlZIn8tV_5KrbhDatYTiwQosx0wnSe8iFLsaAlbkL9dqGnQFmhpDMygxZmCELM4Rkfodktkl9eei_Wa7RH8U_qSTg9QGw0dmmCrZ1dfzL8UKPAVTi3u-5X3WDuwcPYOazz8Mr-dner2OP26Nvww8jVaFKc3szM4ubT_Nv8-mFmRf3ET-5TQ</recordid><startdate>201002</startdate><enddate>201002</enddate><creator>Han, Seung Seok</creator><creator>Kim, Ki Woong</creator><creator>Kim, Kwang-Il</creator><creator>Na, Ki Young</creator><creator>Chae, Dong-Wan</creator><creator>Kim, Suhnggwon</creator><creator>Chin, Ho Jun</creator><general>Blackwell Publishing Inc</general><general>Wiley-Blackwell</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QP</scope><scope>7TK</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><scope>7TS</scope><scope>7U1</scope><scope>7U2</scope><scope>C1K</scope></search><sort><creationdate>201002</creationdate><title>Lean Mass Index: A Better Predictor of Mortality than Body Mass Index in Elderly Asians</title><author>Han, Seung Seok ; Kim, Ki Woong ; Kim, Kwang-Il ; Na, Ki Young ; Chae, Dong-Wan ; Kim, Suhnggwon ; Chin, Ho Jun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c6112-2bd51ee68ee74c57d7754e118a7cc1f45ec544dc67cc288760d1bf1424dfc1803</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Adiposity</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Asian Continental Ancestry Group - statistics & numerical data</topic><topic>Biological and medical sciences</topic><topic>Body Composition</topic><topic>Body Mass Index</topic><topic>elderly</topic><topic>Epidemiology</topic><topic>fat</topic><topic>Female</topic><topic>General aspects</topic><topic>Humans</topic><topic>Korea - epidemiology</topic><topic>lean mass</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Miscellaneous</topic><topic>Mortality</topic><topic>Mortality - ethnology</topic><topic>Older people</topic><topic>Predictions</topic><topic>Proportional Hazards Models</topic><topic>Public health. Hygiene</topic><topic>Public health. Hygiene-occupational medicine</topic><topic>Risk Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Han, Seung Seok</creatorcontrib><creatorcontrib>Kim, Ki Woong</creatorcontrib><creatorcontrib>Kim, Kwang-Il</creatorcontrib><creatorcontrib>Na, Ki Young</creatorcontrib><creatorcontrib>Chae, Dong-Wan</creatorcontrib><creatorcontrib>Kim, Suhnggwon</creatorcontrib><creatorcontrib>Chin, Ho Jun</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><collection>Physical Education Index</collection><collection>Risk Abstracts</collection><collection>Safety Science and Risk</collection><collection>Environmental Sciences and Pollution Management</collection><jtitle>Journal of the American Geriatrics Society (JAGS)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Han, Seung Seok</au><au>Kim, Ki Woong</au><au>Kim, Kwang-Il</au><au>Na, Ki Young</au><au>Chae, Dong-Wan</au><au>Kim, Suhnggwon</au><au>Chin, Ho Jun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Lean Mass Index: A Better Predictor of Mortality than Body Mass Index in Elderly Asians</atitle><jtitle>Journal of the American Geriatrics Society (JAGS)</jtitle><addtitle>J Am Geriatr Soc</addtitle><date>2010-02</date><risdate>2010</risdate><volume>58</volume><issue>2</issue><spage>312</spage><epage>317</epage><pages>312-317</pages><issn>0002-8614</issn><eissn>1532-5415</eissn><coden>JAGSAF</coden><abstract>OBJECTIVES: To evaluate the correlation between body mass index (BMI), body composition, and all‐cause mortality in an elderly Asian population.
DESIGN: A prospective observational cohort study with 3.5‐year follow‐up.
SETTING: The Korean Longitudinal Study on Health and Aging Project for elderly residents in Seongnam City, Korea.
PARTICIPANTS: Eight hundred seventy‐seven subjects aged 65 and older for whom baseline body composition data was available.
MEASUREMENTS: BMI, waist circumference, and body composition of each subject was evaluated. Body composition was examined using bioelectrical impedance analyses of measures, including lean mass (kg), fat mass (kg), and fat proportion (%). In addition, lean mass index (LMI, kg/m2) was calculated by dividing lean mass by the square of height. Participants were divided into three groups: Group 1 (<25th percentile), Group 2 (25–75th percentiles), and Group 3 (≥75th percentile) for BMI, waist circumference, body composition, and LMI.
RESULTS: In the fully adjusted Cox proportional hazard model, BMI, waist circumference, and fat composition were not correlated with mortality, but higher lean mass and LMI were considered predictors of lower mortality when comparing Group 3 and Group 1 (in lean mass, relative risk reduction of 84%, 95% confidence interval (CI)=45–96%, P=.004; in LMI, relative risk reduction of 69%, 95% CI=12–89%, P=.03).
CONCLUSION: The present study indicates that the recommendation of low BMI as a means of obtaining a survival advantage in the elderly is not supported. Instead, higher lean mass and higher LMI are associated with better survival in the elderly Asian population.</abstract><cop>Malden, USA</cop><pub>Blackwell Publishing Inc</pub><pmid>20070416</pmid><doi>10.1111/j.1532-5415.2009.02672.x</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adiposity Aged Aged, 80 and over Asian Continental Ancestry Group - statistics & numerical data Biological and medical sciences Body Composition Body Mass Index elderly Epidemiology fat Female General aspects Humans Korea - epidemiology lean mass Longitudinal Studies Male Medical sciences Miscellaneous Mortality Mortality - ethnology Older people Predictions Proportional Hazards Models Public health. Hygiene Public health. Hygiene-occupational medicine Risk Factors |
title | Lean Mass Index: A Better Predictor of Mortality than Body Mass Index in Elderly Asians |
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