A survey of current anthropometric techniques for ARM muscle and fat area

A survey of current anthropometric techniques for ARM muscle and fat area

p.29 A SURVEY OF CURRENT ANTHROPOMETRICTECHNIQUESFOR ARM MUSCLE AND FAT AREA. T. Karatzas, R.G.Clark, B.H.Brown, R.A. Nakielny, Department of Surgery,...

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p.29 A SURVEY OF CURRENT ANTHROPOMETRICTECHNIQUESFOR ARM MUSCLE AND FAT AREA. T. Karatzas, R.G.Clark, B.H.Brown, R.A. Nakielny, Department of Surgery, Medical Physics and Radiology,University of Sheffield,Sheffield.U.K. Anthropometric measurements of the arm provide a useful indicator of nutritional status. We conducted a survey of anthropometric techniques for measurement of arm muscle and fat area. We also evaluated a new technique based on electrical impedance, and compared its measurementswith computerisedtomography. The anthropometrictechniqueswere: 1. Jelliffe formulae for muscle and fat area (AMAT, AFAT) derived from AC and SFT. 2. Limb impedance (1) which measured AMA2 and AFAz, based on the differentialelectricalresistivityof tissue componentsand was corrected for bone and neurovascularbundle area. 3. The Heymsfield formula (AMAc) which corrects the Jelliffe formula for bone area, by subtracting10.0 cm* from AMAT for males and 6.5 4. Computerised tomography which is the most accurate and cm * for females. reproducibletechnique for nutritionalassessment and provides a clear separation of muscle (AMAR), fat (AFAR), bone and neurovascular bundle areas. We compared these 4 techniques in 20 healthy volunteers, (12M : 8F, age range : 23-62 years). ARM HOSCLE AREA (cm2 + LE.) AIM FAT m (& i S.E.) No AFAR AFAT AMAT AFAz MAR 38.%.7 48.2 ff.7' 16.0 '1.9 13.8 if.4 13.0 ‘1.5 M 12 36.7 k1.0 37.~Z.0 (0.01 N.S. N.S. N.S. N.S. N.S. N.S. 30.7 +2.0* 21.1 22.2 18.1 21.8 14.6 +2.2* : 8 ?g.g?1.9 20.6 k1.7 24.2 +2.0
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P~DICTI~ ABILITY OF ~~ITl~ AS!ZESSt’ENTHETH@S. PBecceri, fiBrage, G.lWaeili. 1,Glnotti. M.Cristollo, V.Di Carlo. Sclentlfic Institute Sen Raffeele Hospltel, CatWe di Patologie Chlrurgice, University of Milan, Italy.To idontrfy high- risk svgrc@i pstients sever81 mJtrltbml moesmmt methods were proposed. in additlon to being able to predict mgiml risk, 8 nWtkma1 essemrmtrnethod ~~~~~~~* e!qecMy when wed es a !xreeMng tooi. A pmepective study wae car&d out to evaiuete the effkocy of m&ode pmoeed by tluilen @MI) based on serum albumin (SA), tmeferrln, Wceos skinfold (TSF), and delayed hyperse&Mty mspense; by Wti~ WA) based on SA mi total lymphocyte cc&; by Simms (PI) ~onSA,T~,rwltottl~blndkrOnpPcftyTTiBC);by~(NA)~onSA,T1K,ndmiOhthwrs (WL). The prognosttc abilty of Wl @It at 10% uvlth respect to usual body weight was also studied. To avoid bias linked to some non-nutritionel variables we etudled 94 neoplaetlc petlente (51 malee end 43 fmakss) who mJeme& contwnlnatdd gaetreinteetinal surgical fmcedum Pee&mat& infectione occurred in 26 pdients. INAndNA~rb~ktMwrUFjclresesofWIUen~wtrohdn~riskto~t~~~sbOtlc comWatim (v O& chisquwe for War trend). In feet, 88 tAe numbs of al&red nutrltrclclrl puam&rs

incr.@@& therateof complkcotions rleo kreeeed. To esseee the d&no&k prtfentswarr~ethigh-rfskwhen:PNI~50.Pl,50,WL~lOR.INArwrdNA:stlrrrstons8l~ed parameter.

eccurecy of theee methods,

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AH Ihe cowlbmd nutriuenal e3sesmnt methods showed 0 Sknller @redicthm abbrrrty.Therefore It seems reason&e to identify the high&k svgicel Went by using clinical judgment in aseociatlon with nulrltional Perametm acquired by mutlne hosoltal em9slon leboratory Ms.

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