OpenAccessBelV2, OpenAccess, Analysis, bibRecord, 000028

Determination of Cutoff Values for DEXA-Based Body Composition Measurements for Determining Metabolic and Cardiovascular Health

Identifieur interne : 000028 ( OpenAccess/Analysis ); précédent : 000027; suivant : 000029

Determination of Cutoff Values for DEXA-Based Body Composition Measurements for Determining Metabolic and Cardiovascular Health

Auteurs : Pierre-Olivier Lang ; Christophe Trivalle ; Thomas Vogel ; Jacques Proust ; Jean-Pierre Papazyan ; Moustapha Dramé

Source :

BioResearch Open Access [ 2164-7844 ] ; 2015.

RBID : PMC:4497664

Abstract

The two components of the body weight (i.e., fat mass and muscle mass) appeared to be of high interest to consider in predicting metabolic health related risks. We aimed to determine cutoff values for fat mass index (FMI) and muscle mass index (MMI), FM/MM, and BMI for metabolic and cardiovascular health. This study was a cross-sectional analysis study conducted in a center of preventive medicine. It included 616 consecutive outpatients: mean age was 56.0±10.0 years (74.6% aged ≥50), and 61.4% were female. Fat and muscle mass were obtained with dual energy X-ray absorptiometry scan analyses. Metabolically unhealthy individuals were defined as people with biological features of dyslipidemia, hyperuricemia, diabetes, and/or hepatitis steatosis. Documented hypertension and/or atherosclerosis of at least one major artery defined individuals with cardiovascular complications. Receiver-operating characteristic curve analysis revealed that the cutoff values for MMI, FMI, and FM/MM were respectively 18.8kg/m² (sensitivity [Se]=58%; specificity [Sp]=59%), 5.5kg/m² (Se=61%; Sp=62%), and 0.31 (Se=62%; Sp=62%) in men; and 14.1kg/m² (Se=52%; Sp=54%), 5.5kg/m² (Se=65%; Sp=67%), 0.39 (Se=73%; Sp=73%) in women for predicting metabolic health. Values were 19.3kg/m² (Se=58%; Sp=59%), 7.0kg/m² (Se=61%; Sp=62%) and 0.49 (Se=62%; Sp=62%) in men; and 15.7kg/m² (Se=58%; Sp=59%), 6.4kg/m² (Se=61%; Sp=62%) and 0.35 (Se=62%; Sp=62%) in women for cardiovascular complications. Whatever the outcomes considered, the Youden indexes for BMI values were systematically below 25 kg/m², except for cardiovascular complications in men, where the threshold for the best Se/Sp was 25.7 kg/m². These cutoff values for FMI, MMI, and FM/MM could be of practical value for the clinical evaluation of a deficit in MM with or without excess of FM. They complement the classical concept of BMI in a more qualitative manner and extend the analysis of its impact on health outcomes to all BMI categories.

Url:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4497664

DOI: 10.1089/biores.2014.0056
PubMed: 26309779
PubMed Central: 4497664

Affiliations:

Links to Exploration step

PMC:4497664

Le document en format XML

<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Determination of Cutoff Values for DEXA-Based Body Composition Measurements for Determining Metabolic and Cardiovascular Health</title>
<author><name sortKey="Lang, Pierre Olivier" sort="Lang, Pierre Olivier" uniqKey="Lang P" first="Pierre-Olivier" last="Lang">Pierre-Olivier Lang</name>
<affiliation><nlm:aff id="aff1"></nlm:aff>
</affiliation>
<affiliation><nlm:aff id="aff2"></nlm:aff>
</affiliation>
</author>
<author><name sortKey="Trivalle, Christophe" sort="Trivalle, Christophe" uniqKey="Trivalle C" first="Christophe" last="Trivalle">Christophe Trivalle</name>
<affiliation><nlm:aff id="aff3"></nlm:aff>
</affiliation>
</author>
<author><name sortKey="Vogel, Thomas" sort="Vogel, Thomas" uniqKey="Vogel T" first="Thomas" last="Vogel">Thomas Vogel</name>
<affiliation><nlm:aff id="aff4"></nlm:aff>
</affiliation>
</author>
<author><name sortKey="Proust, Jacques" sort="Proust, Jacques" uniqKey="Proust J" first="Jacques" last="Proust">Jacques Proust</name>
<affiliation><nlm:aff id="aff2"></nlm:aff>
</affiliation>
</author>
<author><name sortKey="Papazyan, Jean Pierre" sort="Papazyan, Jean Pierre" uniqKey="Papazyan J" first="Jean-Pierre" last="Papazyan">Jean-Pierre Papazyan</name>
<affiliation><nlm:aff id="aff5"></nlm:aff>
</affiliation>
</author>
<author><name sortKey="Drame, Moustapha" sort="Drame, Moustapha" uniqKey="Drame M" first="Moustapha" last="Dramé">Moustapha Dramé</name>
<affiliation><nlm:aff id="aff6"></nlm:aff>
</affiliation>
<affiliation><nlm:aff id="aff7"></nlm:aff>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">PMC</idno>
<idno type="pmid">26309779</idno>
<idno type="pmc">4497664</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4497664</idno>
<idno type="RBID">PMC:4497664</idno>
<idno type="doi">10.1089/biores.2014.0056</idno>
<date when="2015">2015</date>
<idno type="wicri:Area/Pmc/Corpus">000036</idno>
<idno type="wicri:Area/Pmc/Curation">000036</idno>
<idno type="wicri:Area/Pmc/Checkpoint">000146</idno>
<idno type="wicri:Area/Ncbi/Merge">000339</idno>
<idno type="wicri:Area/Ncbi/Curation">000339</idno>
<idno type="wicri:Area/Ncbi/Checkpoint">000339</idno>
<idno type="wicri:doubleKey">2164-7844:2015:Lang P:determination:of:cutoff</idno>
<idno type="wicri:Area/Main/Merge">000175</idno>
<idno type="wicri:Area/Main/Curation">000175</idno>
<idno type="wicri:Area/Main/Exploration">000175</idno>
<idno type="wicri:Area/OpenAccess/Extraction">000028</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Determination of Cutoff Values for DEXA-Based Body Composition Measurements for Determining Metabolic and Cardiovascular Health</title>
<author><name sortKey="Lang, Pierre Olivier" sort="Lang, Pierre Olivier" uniqKey="Lang P" first="Pierre-Olivier" last="Lang">Pierre-Olivier Lang</name>
<affiliation><nlm:aff id="aff1"></nlm:aff>
</affiliation>
<affiliation><nlm:aff id="aff2"></nlm:aff>
</affiliation>
</author>
<author><name sortKey="Trivalle, Christophe" sort="Trivalle, Christophe" uniqKey="Trivalle C" first="Christophe" last="Trivalle">Christophe Trivalle</name>
<affiliation><nlm:aff id="aff3"></nlm:aff>
</affiliation>
</author>
<author><name sortKey="Vogel, Thomas" sort="Vogel, Thomas" uniqKey="Vogel T" first="Thomas" last="Vogel">Thomas Vogel</name>
<affiliation><nlm:aff id="aff4"></nlm:aff>
</affiliation>
</author>
<author><name sortKey="Proust, Jacques" sort="Proust, Jacques" uniqKey="Proust J" first="Jacques" last="Proust">Jacques Proust</name>
<affiliation><nlm:aff id="aff2"></nlm:aff>
</affiliation>
</author>
<author><name sortKey="Papazyan, Jean Pierre" sort="Papazyan, Jean Pierre" uniqKey="Papazyan J" first="Jean-Pierre" last="Papazyan">Jean-Pierre Papazyan</name>
<affiliation><nlm:aff id="aff5"></nlm:aff>
</affiliation>
</author>
<author><name sortKey="Drame, Moustapha" sort="Drame, Moustapha" uniqKey="Drame M" first="Moustapha" last="Dramé">Moustapha Dramé</name>
<affiliation><nlm:aff id="aff6"></nlm:aff>
</affiliation>
<affiliation><nlm:aff id="aff7"></nlm:aff>
</affiliation>
</author>
</analytic>
<series><title level="j">BioResearch Open Access</title>
<idno type="ISSN">2164-7844</idno>
<idno type="eISSN">2164-7860</idno>
<imprint><date when="2015">2015</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass></textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en"><title>Abstract</title>
<p>The two components of the body weight (i.e., fat mass and muscle mass) appeared to be of high interest to consider in predicting metabolic health related risks. We aimed to determine cutoff values for fat mass index (FMI) and muscle mass index (MMI), FM/MM, and BMI for metabolic and cardiovascular health. This study was a cross-sectional analysis study conducted in a center of preventive medicine. It included 616 consecutive outpatients: mean age was 56.0±10.0 years (74.6% aged ≥50), and 61.4% were female. Fat and muscle mass were obtained with dual energy X-ray absorptiometry scan analyses. Metabolically unhealthy individuals were defined as people with biological features of dyslipidemia, hyperuricemia, diabetes, and/or hepatitis steatosis. Documented hypertension and/or atherosclerosis of at least one major artery defined individuals with cardiovascular complications. Receiver-operating characteristic curve analysis revealed that the cutoff values for MMI, FMI, and FM/MM were respectively 18.8kg/m<sup>2</sup>
 (sensitivity [Se]=58%; specificity [Sp]=59%), 5.5kg/m<sup>2</sup>
 (Se=61%; Sp=62%), and 0.31 (Se=62%; Sp=62%) in men; and 14.1kg/m<sup>2</sup>
 (Se=52%; Sp=54%), 5.5kg/m<sup>2</sup>
 (Se=65%; Sp=67%), 0.39 (Se=73%; Sp=73%) in women for predicting metabolic health. Values were 19.3kg/m<sup>2</sup>
 (Se=58%; Sp=59%), 7.0kg/m<sup>2</sup>
 (Se=61%; Sp=62%) and 0.49 (Se=62%; Sp=62%) in men; and 15.7kg/m<sup>2</sup>
 (Se=58%; Sp=59%), 6.4kg/m<sup>2</sup>
 (Se=61%; Sp=62%) and 0.35 (Se=62%; Sp=62%) in women for cardiovascular complications. Whatever the outcomes considered, the Youden indexes for BMI values were systematically below 25 kg/m<sup>2</sup>
, except for cardiovascular complications in men, where the threshold for the best Se/Sp was 25.7 kg/m<sup>2</sup>
. These cutoff values for FMI, MMI, and FM/MM could be of practical value for the clinical evaluation of a deficit in MM with or without excess of FM. They complement the classical concept of BMI in a more qualitative manner and extend the analysis of its impact on health outcomes to all BMI categories.</p>
</div>
</front>
<back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Lang, Po" uniqKey="Lang P">PO Lang</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Heymsfield, Sb" uniqKey="Heymsfield S">SB Heymsfield</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Flegal, Km" uniqKey="Flegal K">KM Flegal</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Lang, Po" uniqKey="Lang P">PO Lang</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Deurenberg, P" uniqKey="Deurenberg P">P Deurenberg</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Dhesi, Jk" uniqKey="Dhesi J">JK Dhesi</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Lee, S" uniqKey="Lee S">S Lee</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Srikanthan, P" uniqKey="Srikanthan P">P Srikanthan</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Pagel Langenickel, I" uniqKey="Pagel Langenickel I">I Pagel-Langenickel</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Atlantis, E" uniqKey="Atlantis E">E Atlantis</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Wolfe, Rr" uniqKey="Wolfe R">RR Wolfe</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Lowell, Bb" uniqKey="Lowell B">BB Lowell</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Alam, I" uniqKey="Alam I">I Alam</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Schutz, Y" uniqKey="Schutz Y">Y Schutz</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Taylor, Ae" uniqKey="Taylor A">AE Taylor</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Wildman, Rp" uniqKey="Wildman R">RP Wildman</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Speliotes, Ek" uniqKey="Speliotes E">EK Speliotes</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Bewick, V" uniqKey="Bewick V">V Bewick</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Krentz, Aj" uniqKey="Krentz A">AJ Krentz</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Lang, Po" uniqKey="Lang P">PO Lang</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Sun, G" uniqKey="Sun G">G Sun</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Nigam, P" uniqKey="Nigam P">P Nigam</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Zhou, J" uniqKey="Zhou J">J Zhou</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Hwang, Dk" uniqKey="Hwang D">DK Hwang</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Marin, Rv" uniqKey="Marin R">RV Marin</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Dytfeld, J" uniqKey="Dytfeld J">J Dytfeld</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Bergman, Rn" uniqKey="Bergman R">RN Bergman</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Weltman, A" uniqKey="Weltman A">A Weltman</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Micklesfield, Lk" uniqKey="Micklesfield L">LK Micklesfield</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Kelly, Tl" uniqKey="Kelly T">TL Kelly</name>
</author>
</analytic>
</biblStruct>
</listBibl>
</div1>
</back>
</TEI>
<affiliations><list></list>
<tree><noCountry><name sortKey="Drame, Moustapha" sort="Drame, Moustapha" uniqKey="Drame M" first="Moustapha" last="Dramé">Moustapha Dramé</name>
<name sortKey="Lang, Pierre Olivier" sort="Lang, Pierre Olivier" uniqKey="Lang P" first="Pierre-Olivier" last="Lang">Pierre-Olivier Lang</name>
<name sortKey="Papazyan, Jean Pierre" sort="Papazyan, Jean Pierre" uniqKey="Papazyan J" first="Jean-Pierre" last="Papazyan">Jean-Pierre Papazyan</name>
<name sortKey="Proust, Jacques" sort="Proust, Jacques" uniqKey="Proust J" first="Jacques" last="Proust">Jacques Proust</name>
<name sortKey="Trivalle, Christophe" sort="Trivalle, Christophe" uniqKey="Trivalle C" first="Christophe" last="Trivalle">Christophe Trivalle</name>
<name sortKey="Vogel, Thomas" sort="Vogel, Thomas" uniqKey="Vogel T" first="Thomas" last="Vogel">Thomas Vogel</name>
</noCountry>
</tree>
</affiliations>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Wicri/Belgique/explor/OpenAccessBelV2/Data/OpenAccess/Analysis

HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000028 | SxmlIndent | more

HfdSelect -h $EXPLOR_AREA/Data/OpenAccess/Analysis/biblio.hfd -nk 000028 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Wicri/Belgique
   |area=    OpenAccessBelV2
   |flux=    OpenAccess
   |étape=   Analysis
   |type=    RBID
   |clé=     PMC:4497664
   |texte=   Determination of Cutoff Values for DEXA-Based Body Composition Measurements for Determining Metabolic and Cardiovascular Health
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/OpenAccess/Analysis/RBID.i   -Sk "pubmed:26309779" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/OpenAccess/Analysis/biblio.hfd   \
       | NlmPubMed2Wicri -a OpenAccessBelV2

This area was generated with Dilib version V0.6.25.
Data generation: Thu Dec 1 00:43:49 2016. Site generation: Wed Mar 6 14:51:30 2024

Serveur d'exploration autour du libre accès en Belgique

Determination of Cutoff Values for DEXA-Based Body Composition Measurements for Determining Metabolic and Cardiovascular Health

Determination of Cutoff Values for DEXA-Based Body Composition Measurements for Determining Metabolic and Cardiovascular Health

Source :

Abstract

Links toward previous steps (curation, corpus...)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

Pour générer des pages wiki

	Serveur d'exploration autour du libre accès en Belgique
	Attention, ce site est en cours de développement ! Attention, site généré par des moyens informatiques à partir de corpus bruts. Les informations ne sont donc pas validées.