AMERICANJOURNALOFHUMANBIOLOGY12:167–180(2000) Association of Dominant Somatotype of Men With Body Structure, Function During Exercise, and Nutritional Assessment WILLIAMW.BOLONCHUK,1,2WILLIAMA.SIDERS,1 GLENNI.LYKKEN,1,3ANDHENRYC.LUKASKI1* 1UnitedStatesDepartmentofAgriculture,AgricultureResearchService, GrandForksHumanNutritionResearchCenter, GrandForks,NorthDakota 2DepartmentofHealth,PhysicalEducationandRecreation,Universityof NorthDakota,GrandForks,NorthDakota 3DepartmentofPhysics,UniversityofNorthDakota, GrandForks,NorthDakota ABSTRACT Thisstudyexaminedthehypothesisthatsomatotypedeter- minesbodystructure,functionalresponsesatpeakexercise,andnutritional status of 63 men ages 18–40 years who lived under controlled conditions. Dataweregroupedbydominantsomatotypetoemphasizedifferencesinbody types. Dominant ectomorphs (n 4 19) had less (P < 0.05) body weight, fat weight,andpercentbodyfatthanendomorphs(n414)andmesomorphs(n 4 30). Fat-free weight (FFW), total body potassium (TBK), and body cell mass(BCM),normalizedforstature,werelower(P<0.05)intheectomorphs than in the endomorphs and mesomorphs. Comparisons between measured andpredictedFFWandTBKshowedthatonlytheectomorphshadless(P< 0.05) FFW and TBK than expected. Although all groups had the same peak poweroutput,theectomorphshaddifferentfunctionalresponsesduringpeak exercise.Ectomorphshadthegreatestrespiratoryexchangeratio(P<0.05), ventilatory equivalent for oxygen, and end-exercise plasma lactate concen- trations(P<0.05),andlowestpeakoxygenuptake(L/min;P<0.05).Nutrient intakesandbloodbiochemicalmarkersofnutritionalstatuswerewithinthe rangeofnormalvaluesinallgroups.Correlationsbetweenmeasuresofbody structure,function,andnutritionalstatusanddominantsomatotypecompo- nentswerecalculatedaftercontrollingfortheeffectsoftheothertwosomato- type components. Partial correlations were variable, with significant corre- lations ranging from −0.30 to 0.87. These data indicate that ectomorphs, as compared to endomorphs and mesomorphs, have deficits in FFW and BCM which are associated with differences in functional capacity. Am. J. Hum. Biol. 12:167–180, 2000. ©2000Wiley-Liss,Inc.† Humanswithdifferentsomatotypesdem- U.S.DepartmentofAgriculture,AgriculturalResearchSer- onstrate unique performance capacities vice,NorthernPlainsArea,isanequalopportunity/affirmative actionemployer,andallagencyservicesareavailablewithout during exercise and physical training (Coz- discrimination. ens, 1930; Cureton, 1941; Sills, 1950; Sills Mentionofatrademarkorproprietaryproductdoesnotcon- andMichem,1957;Tanneretal.,1960).An- stituteaguaranteeorwarrantybytheU.S.DepartmentofAg- riculture and does not imply its approval to the exclusion of thropological studies of Olympic athletes otherproductsthatmaybeavailable. consistently show that individuals compet- *Correspondenceto:HenryC.Lukaski,USDA,ARS,GFHNRC, ing in the same athletic event have similar Box9034,GrandForks,ND58202-9034. E-mail:[email protected] somatotypes regardless of their geographi- Received21August1998;Revisionreceived27January1999; cal, cultural, or economic backgrounds, Accepted3February1999 ©2000Wiley-Liss,Inc. †ThisarticleisaUSGovernmentwork and, as such, is in the public domain in the United States of America. PROD #M98084R 168 W.W.BOLONCHUKETAL. whereas athletes participating in different Allard and Goulet (1968) also reported in- athletic activities have different somato- creasedserumcholesterolconcentrationsas types (Carter, 1970, 1984; de Garay et al., afunctionofbodybuild,classifiedbyheight 1974).Thesestudiescharacterizedthetypi- and weight. Although these studies catego- calsomatotypeassociatedwithperformance rize one measure of nutritional status ac- in specific athletic events and concluded cording to body type, they failed to include that significantly different somatotypes anassessmentofdietintheassociationbe- were associated with each event. tween somatotype and serum cholesterol. Sheldon et al.’s (1940) procedure for de- There are limited data evaluating differ- termining the somatotype of an individual ences in functional responses to exercise in did not require body measurements, al- relation to somatotype. Schreiber (1973) thoughmeasurementsfromcadaverstudies found that ectomorphs, as compared to en- domorphs and mesomorphs, demonstrated were used to establish morphological char- an increased dependence on glycolytic me- acteristics. But subsequently developed tabolism during a standardized test of an- methodstomoreobjectivelyestimatetheso- aerobic function. No physiological explana- matotype of an individual (Parnell, 1958; tion for this finding was provided. HeathandCarter,1967)utilizedbodymea- This study examines the association be- surements and many of those measure- tween body structure and functional re- ments were similar to measurements uti- sponseatpeakexerciseandtheconcomitant lized to anthropometrically determine body roleofnutritioninmalesexhibitingsomato- composition. It is not surprising, then, that typedominance.Wereportthatectomorphs manystudieshaveattemptedtorelatebody exhibit different metabolic responses at compositionvariablesandsomatotype(Tan- peakpowerandthatthesedifferencesinre- neretal.,1960;Bulbulian,1984;Slaughter sponse may be explained by deficits in fat- and Lohman, 1976; Dupertius et al., 1951; free weight (FFW) and body cell mass Bolonchuketal.,1989).Thesestudieshave (BCM). found that, on average, endomorphs were heavier,taller,andfatterthanmesomorphs METHODS or ectomorphs, that mesomorphs had greater fat-free weights and were shorter Subjects than endomorphs or ectomorphs, and that Eighty-five men, ages 18–40 years, who ectomorphs had less fat and lower body hadbeenrecruitedforparticipationinstud- weights than mesomorphs or endomorphs. ies to determine mineral nutrient require- Thus, these findings suggest a general as- mentsattheUSDA,ARSGrandForksHu- sociation between body structure and so- man Nutrition Research Center, partici- matotype and infer that performance is de- pated in this study. The studies were pendent on somatotype. However, because approvedbytheInstitutionalReviewBoard performance is an indirect measure of of the University of North Dakota and the physiological function, an association be- Human Studies Review Committee of the tween somatotype and function has only U.S. Department of Agriculture. The re- been implied, not demonstrated. Further- search subjects gave written consent after more, it is well established that diet and receiving written and oral explanations of mineralnutritureinfluencephysicalperfor- the purpose and procedures of the study. mance (Lukaski et al., 1996). Few studies Inclusionofthedatainthepresentstudy have explored the interactions between was dependent on somatotype dominance. body structure, physiological function at Only those subjects (n 4 63; age 4 28.5 peak exercise, and nutritional status. years±0.96,mean±SE)whodemonstrated There is evidence of an association be- somatotype dominance, defined as a so- tweenphysiqueandnutritionalstatus.Tan- matotype component rating at least 0.5 ner et al. (1960) and Gordon et al. (1987) points higher than either of the other two demonstrated a relationship between total component ratings, were selected. This cri- serum cholesterol and somatotype. Both terion eliminated all subjects with equal studies revealed that endomorphs had the ratings for the highest somatotype compo- highest, whereas ectomorphs had the low- nent. The mean ages for the dominant en- est, serum cholesterol concentrations; men, domorphs, mesomorphs, and ectomorphs but not women, exhibited this relationship. was 28.9 ± 1.4, 29.4 ± 1.8, and 26.7 ± 1.1 STRUCTURE,FUNCTION,ANDNUTRITIONWITHEXERCISE 169 fectoftheself-selecteddietaryintakeofthe volunteers. Bodystructure Somatotype by anthropometry was com- puted according to the procedure of Carter (1975) and endomorphy was corrected for standing height (Carter and Heath, 1990). The Holtain skinfold caliper, Harpenden anthropometer, and a Toledo scale (Model 2831) were the test instruments and a trained anthropometrist administered all tests. The technical errors of the anthropo- metric measurement (<0.2 somatotype units) were only a fraction of the sample variance, coefficents of variation ranged from 3–7% and intraclass correlations for repeated measurements were greater than 0.98. Total body potassium (TBK), which is found almost exclusively in the fat-free body, was determined by counting the gamma ray emissions from 40K in the body byusingsodiumiodidedetectorsinawhole body counter with the methods and proce- duresdescribedbyLykkenetal.(1980).The precision of this method was 2%. Body cell mass (BCM) was calculated from determi- nationsofTBKbyusingtheformula(Moore et al., 1963): BCM 4 TBK ? (0.00833) in which BCM is in kg and TBK is in milli- Fig. 1. Distribution of somatotypes. The upper so- equivalents. This approach assumes that matochartrepresentsthedistributionforthesampleof the predominance (>97%) of TBK is located n463whilethelowersomatochartdepictsthemean in muscle and viscera, with only minimal somatotypes, and standard dispersion index, of the threedominantsomatotypegroups. amounts (<3%) in bone, collagen, and adi- pose tissue (Moore et al., 1963). Body density was determined by hy- years, respectively. The upper somatochart drodensitometry with a system similar to in Figure 1 depicts the dispersion of indi- thatdescribedbyAkersandBuskirk(1969). vidual volunteers, while the lower somato- Measurement variability was less than 1% chart shows the mean somatotype for each for body fat (Mendez and Lukaski, 1981). of the dominant somatotype groups; the Residuallungvolumewasmeasuredsimul- circle around each mean represents the so- taneouslywiththeunderwaterweighingby matotype dispersion index (SDI) for that anopencircuittechniquefornitrogenwash- group.TheSDIisthemeanoftheindividual out of the lungs (Darling et al., 1940). Per- somatotype distances from the mean so- centbodyfatwasestimatedfrombodyden- matotype (Carter, 1975). sityasdescribedbyBrozeketal.(1963).Fat weightwascomputedastheproductofper- Procedures cent fat and body weight. FFW was com- The anthropometric, compositional, bio- puted as the difference between fat weight chemical, and physiological measurements and body weight. werecollectedinthefirst2weeksofanini- Because standing height is a significant tialcontrolperiodduringwhichthedietpro- predictor of FFW, and somatotype ratings vided nutrients in amounts consistent with are influenced by standing height, differ- optimal function and health (NRC, 1989). encesinFFWandTBKamongdominantso- All tests were administered as early in the matotypeswereevaluatednotonlyinabso- controlperiodaspossibletooptimizetheef- lutetermsbutalsoincomparisontopredic- 170 W.W.BOLONCHUKETAL. tionsbasedonnonathleticpopulations.This thedeterminationofplasmalactateconcen- approach attempts to discriminate differ- trations according to the method of Henry encesintheenergy-producingcomponentof (1964). thebodybyusingpredictionmodelsforTBK Nutritionalstatusassessment (TBK ) and FFW (FFW ): E S Nutrientintakeswereestimatedbyuseof TBK 4 (5.52 ? 0.014 A) X (W)0.5 ? (S)2 self-reported,7-daydietaryrecallrecordsof E food and beverage consumption before en- in which TBK is in grams, A is age in tering the metabolic unit studies. The re- E years,Wisbodyweightinkilograms,andS cords were reviewed and interviews were is standing height in meters (Ellis et al., conducted with an experienced dietician to 1974); and, clarify items and quantities that may have beenunclear.Thedietaryrecordswereana- FFW 4 0.00199 (S)2 + 1.67 lyzed for nutrient intake values by the S methodsdescribedbyLukaskietal.(1990). in which FFW is in kilograms and S is A fasting sample of whole blood was ob- S standing height in meters (Slaughter and tained from an antecubital vein during the Christ, 1995). firstweekofthecontrolperiodandanalyzed to yield estimates of nutritional status. He- Functionduringexercise matocrit, hemoglobin, plasma copper (Cu), The physical work capacity (PWC) of the iron (Fe), magnesium (Mg), and zinc ( Zn), men was measured during a progressive, plasma total cholesterol (TCHOL), high- continuous,maximalexercisetestonacycle density lipoprotein (HDL) cholesterol, low- ergometer (Monark 868; Varberg, Sweden). density lipoprotein (LDL) cholesterol, very- The PWC protocol required a pedaling rate low-density lipoprotein (VLDL) cholesterol, of 50 rpm beginning at a resistance of 1.0 triglyceride (TG), and ferritin concentra- kilopond (kp). Pedaling resistance was in- tions,totalironbindingcapacity(TIBC),ce- creased by 1.0 kp after each 3 min of exer- ruloplasmin, and superoxide dismutase cise.Allsubjectspedaledtovoluntarymaxi- (SOD) were the nutritional variables se- mum. Tests were administered between lected for this study. 6:00 and 8:00 am and before breakfast. Hematocrit and hemoglobin were mea- Exhaled gas was analyzed continuously sured with a Coulter Model S+4 (Coulter for oxygen and carbon dioxide concentra- Electronics, Hialeah, FL). Plasma metals tions, expired volume, and other selected and TIBC were analyzed by the atomic ab- variables of pulmonary function. Measure- sorptionspectroscopymethodsofFernandez ments were recorded at 60-sec intervals for and Kahn (1971). Analyses of serum ferri- 5 min of pre-exercise and during each tin, an iron-containing protein which is the minuteofexercise.TheBeckmanMetabolic primary storage compound by which iron Measurement Cart (MMC), as described is mobilized to the transferrin-bound byWilmoreetal.(1976),ortheMMCHori- plasmapool,wereperformedbyaprocedure zon (Anaheim, CA) were the test instru- whichutilizedacompetitivedoublebinding ments; subjects were randomly assigned to assay (Abbott Laboratories, Abbott Park, oneinstrumentforallphysicalworkcapac- IL). Ceruloplasmin, the principal copper- ity tests. Both instruments were calibrated containingproteinintheplasma,wasdeter- before each test by analysis of a certified minedbyacolormetriccopperoxidasereac- reference gas. The volume measurement tion (Sunderman and Nomoto, 1970). SOD was calibrated by a syringe with a known wasassayedinredbloodcellsbythemethod volume. Test-retest reproducibility was described by Winterbourn et al. (1975). Se- within 5%. rum cholesterol was measured enzymati- The electrocardiogram and heart rate cally(CobasFara,Nutley,NJ)andtheLDL were monitored with a Quinton electrocar- and VLDL fractions were determined ac- diograph monitoring system (Model 630A; cording to the procedures described by Quinton Instruments Co., Seattle, WA) us- Friedwald et al. (1972). ing a bipolar CM ECG lead. 5 Statistics A sample of whole blood was obtained from an antecubital vein before and at the Asomatochartwasdevelopedtoshowthe end of each physical work capacity test for dispersionofthesomatotypes(Fig.1).Three STRUCTURE,FUNCTION,ANDNUTRITIONWITHEXERCISE 171 TABLE1.Anthropometricdimensions(mean±standarderror)ofthesubjects Endomorphs Mesomorphs Ectomorphs n414 n430 n419 n463 Skinfolds,mm triceps 11.9b±1.20 9.3b±0.76 6.9a±0.76 9.1±0.55 subscapular 17.0c±1.64 12.0b±0.97 7.7a±0.37 12.0±0.75 suprailiac 19.1c±1.60 8.1b±0.96 6.5a±0.62 10.1±0.86 sumofthree 48.9c±3.69 29.3b±2.47 21.1a±1.37 31.2±1.95 Height,cm 182.2b±1.95 174.8a±1.23 180.5b±1.65 178.1±0.97 Humeruswidth,cm 6.6±0.16 6.7±0.09 6.5±0.07 6.6±0.06 Femurwidth,cm 9.5±0.14 9.2±0.12 9.0±0.14 9.2±0.08 Circumferences,cm biceps 30.3b±0.52 31.2b±0.60 27.4a±0.35 29.8±0.38 calf 37.5b±0.61 36.0b±0.61 33.2a±0.52 35.5±0.41 Weight,kg 87.7b±2.3 78.0b±2.9 67.3a±1.8 76.9±1.80 Ponderalindex* 41.1a±0.42 41.1a±0.35 44.5b±0.19 42.1±0.28 *Ponderalindex4height,cm/(bodyweight,kg)0.33 a,b,cDifferentsuperscriptsindicatestatisticallydifferent(P<0.05)meansamongdominantsomatotypes. distinct groups emerged with 14 dominant nant somatotype group. Skinfold measure- endomorphs, 30 dominant mesomorphs, mentsdifferedsignificantlybydominantso- and 19 dominant ectomorphs. The data matotype except for the triceps measure- were grouped by dominant somatotype and ment, which was not different between descriptive statistics were expressed as endomorphs and mesomorphs. Dominant mean±SE.Thehypothesisthatsomatotype endomorphs and ectomorphs were signifi- impacted structural, functional, and nutri- cantly taller than mesomorphs. Girth mea- tional variables was tested for significance surements and body weights were signifi- at the a 4 0.05 level by using one-way cantly greater for dominant endomorphs analysis of variance. In the presence of a and mesomorphs than for ectomorphs. Hu- significant main effect, Tukey’s contrasts merus and femur widths were not signifi- (SAS, 1997) were used post-hoc to compare cantly different by dominant somatotype. means for each variable. Differences be- The Ponderal Index was significantly tween measured and predicted TBK and higher, and the body mass index (BMI) FFW were evaluated for significant (P < (Table 2) was significantly lower, for domi- 0.05)differencesfrom0byusingthepaired nant ectomorphs than for endomorphs and t-test (SAS Institute, Cary, NC). mesomorphs. Because the somatotype of an individual The value for the somatotype component reflects a composite estimate of physique, that represented the dominant somatotype we also used partial correlation coefficients was statistically greater than the value for (Kleinbaum and Kupper, 1978) to discern theothercomponentsofsomatotypeineach associations between a specific somatotype dominant somatotype group (Table 2). This componentandvariousdependentvariables finding indicates clear dominance for each (body structure, functional measures, and of the three somatotype groups (Fig. 1). nutrition variables) after statistically ad- Threemenwereratedasextremeendomor- justingfortheothertwosomatotypecompo- phicmesomorphsandonemanwasratedas nents (SAS, 1997). Thus, the reported par- an extreme mesomorphic endomorph. Body tial correlation coefficients describe rela- composition components also differed sig- tionships between the residual scores of each somatotype component and the indi- nificantlyasafunctionofsomatotypedomi- vidualcompositional,functional,andnutri- nance(Table2).Dominantendomorphshad tionalvariablesaftertheeffectsoftheother morefat,FFW,andBCMthanectomorphs. two somatotype components were statisti- DominantmesomorphshadmoreFFWthan cally removed. ectomorphs. Dominant ectomorphs had the least FFW and BCM. RESULTS Because standing height is highly corre- lated with FFW and TBK or BCM, and Bodystructure theserelationshipsarenotlinear,weexam- Theanthropometricdimensions(Table1) ined the influence of somatotype on these showed a unique description for each domi- componentsofbodycompositionbycompar- 172 W.W.BOLONCHUKETAL. TABLE2.Somatotyperatingsandbodycomposition(mean±standarderror)ofthesubjects Endomorphs Mesomorphs Ectomorphs n463 Endomorphy 4.8c±0.33 2.9b±0.24 2.1a±0.15 3.1±0.19 Mesomorphy 3.7b±0.34 4.6c±0.23 2.3a±0.16 3.7±0.19 Ectomorphy 1.7a±0.21 1.8a±0.17 3.9b±0.14 2.4±0.16 BMI,kg/m2 26.4b±0.7 25.5b±0.8 20.6a±0.3 24.2±0.5 Fat-freeweight,kg 63.9b±1.8 62.0b±1.9 56.5a±1.5 60.4±1.1 Fatweight,kg 20.8b±2.2 14.6a,b±1.2 9.4a±0.6 13.8±0.8 Bodyfat,% 24.4b±2.0 17.8a,b±0.9 14.0a±0.8 17.5±1.1 Totalbodypotassium,g 155a±24 144b±16 127a±18 138±22 Bodycellmass,kg 33.2b±5.2 31.2b±3.5 27.1a±3.0 29.5±4.6 Bodycellmass,g/cm 0.18b±0.01 0.18b±0.01 0.15a±0.01 0.16±0.01 a,b,cDifferentsuperscriptsindicatestatisticallydifferent(P<0.05)meansamongdominantsomatotypes. ing measured and predicted values. Domi- nant somatotype impacted the measured andpredictedFFWdatadifferently(Fig.2). Dominant endomorphs and mesomorphs hadsimilarFFWvaluesmeasuredwithhy- drodensitometry which were significantly greater than values observed in the ecto- morphs. In contrast, predicted FFW values were greater than observed values in the dominant endomorphs and ectomorphs, as compared to the mesomorphs. The differ- encebetweenmeasuredandpredictedFFW values were significantly different than 0 onlyinthedominantectomorphs.Measured TBK values were less than predicted in all three dominant somatotype groups of healthy adults (Ellis et al., 1974) but only significantly different in the ectomorphs (Fig. 3). Functionatpeakexercise All groups produced statistically similar peak power output, ventilatory rate, heart rate, and gross peak carbon dioxide output and oxygen uptake (Table 3). Peak oxygen Fig.2. Comparisonofdensitometricallydetermined consumption, normalized for body weight, (filled bars) and predicted (open bars; Slaughter and in the dominant ectomorphs was signifi- Christ,1995)fat-freeweightinupperpanelanddiffer- cantlygreaterthanintheendomorphs,but encesbetweenpredictedandmeasuredfat-freeweight similar to that in the mesomorphs during inmenwithdominantsomatotypes.Asterisksindicate significant (P < 0.05) differences from 0. Values are the physical work capacity test (Table 3). mean±SE. The dominant ectomorphs also had the greatest respiratory exchange ratio (RER) atpeakexercise.Thedominantendomorphs exercise blood lactate concentration was had lower mean oxygen consumption per similar among the somatotype groups but unit body weight and lower mean RER at end-exercise lactate concentration was sig- peak exercise than the ectomorphs; neither nificantly greater in the ectomorphs than were significantly different than the values the other somatotypes. obtained from the mesomorphs. The domi- Nutritionalstatusassessment nant ectomorphs had an increased ventila- toryequivalentforoxygen(V /VO )overen- Blood biochemical indices of iron, zinc, E 2 domorphsandectomorphsandaventilatory andmagnesiumnutritionalstatuswerenot equivalent for carbon dioxide (V /VCO ) affected by dominant somatotype (Table 4). E 2 greater than mesomorphs but similar to Dominantendomorphshadsignificantlyre- that measured in the endomorphs. Pre- duced copper status as measured by de- STRUCTURE,FUNCTION,ANDNUTRITIONWITHEXERCISE 173 endomorphs and ectomorphs were lower than the recommended amount of intake. Iron intakes did not differ significantly among the dominant somatotypes and, on average, iron intakes exceeded recommen- dations for the U.S. male population. Somatotypeandbodystructure,function, andnutritionalvariables Dominant somatotype, statistically ad- justedforthecontributionsoftheothertwo somatotype components, was significantly relatedtosomemeasuresofbodystructure, physiologicalresponsestoexercise,andnu- tritional status indicators (Table 6). The magnitude of the correlation coefficients, however, was variable, with numerous sig- nificant relationships identified. Endomor- phy was directly related to all measures of body habitus and composition. In contrast, ectomorphy was inversely related to most determinations of body size and composi- tion,exceptstatureandFFW.Mesomorphy was significantly correlated only with BMI. Fig. 3. Comparison of measured (filled bars) and Certain somatotypes were significantly predicted (Ellis et al., 1974) total body potassium in upper panel and differences between predicted and related to some cardiorespiratory and car- measuredtotalbodypotassiuminmenwithdominant diovascular responses during peak exercise somatotypes. Asterisks indicate significant (P < 0.05) (Table 6). Endomorphy was positively re- differencesfrom0.Valuesaremean±SE. lated to the ventilatory equivalent for car- bon dioxide. Mesomorphy, however, was positively associated with peak power, rate creased superoxide dismutase and cerulo- of ventilation, and oxygen uptake. Simi- plasmin,twocopper-containingproteins,as larly, ectomorphy was positively correlated compared to mesomorphs and ectomorphs. withpoweroutput,ventilatoryrate,oxygen Body type impacted some measurements consumption, heart rate, and ventilatory of circulating lipid concentrations. Total equivalents for oxygen and carbon dioxide. plasma cholesterol concentrations were Lactateaccumulationduringexercise,how- similar among the groups. Dominant endo- ever, was positively related to ectomorphy. morphs had significantly lower HDL- Somatotype was also correlated signifi- cholesterol than compared to the meso- cantly with some nutritional status indica- morphs and ectomorphs; they also had the tors. In general, all somatotypes were very highest TG, LDL-, and VLDL-cholesterol stronglycorrelatedwithceruloplasmin(r$ concentrations, although the differences 0.75)andplasmamagnesium(r$0.33).En- were not statistically significant. domorphywascorrelatedwithcoppermark- Dietaryintake ers (directly with plasma copper but in- versely with SOD activity). Mesomorphy Energy and macronutrient (protein, fat, was positively related to plasma zinc and and carbohydrate) intakes (Table 5) were serumferritin,butnegativelywithhemato- statistically similar among dominant so- crit.Ectomorphywaspositivelyrelatedwith matotype groups. The dominant endo- plasma zinc. morphs had significantly lower copper and Somatotype was significantly associated magnesium intakes; these values were at with circulating lipid and lipoprotein con- the low end of the recommended amount of centrations(Table6).Allsomatotypeswere intakes.Whilezincintakeswerenotsignifi- positively correlated with total cholesterol, cantly different among the dominant so- triglycerides, LDL-, and VLDL-cholesterol matotypes, the mean intakes by dominant fractions. The HDL fraction was inversely 174 W.W.BOLONCHUKETAL. TABLE3.Function(mean±standarderror)atpeakergocycleexercisebydominantsomatotypecomponent Endomorphs Mesomorphs Ectomorphs Peakpower,W 202±11 210±7 209±9 V.E,L/min 110±11 101±10 108±6 V.O2,mL/kg/min 34.2a±3 39.2a,b±2 41.6b±2 VO ,mL/min 2,989±227 2,999±121 2,827±165 2 VCO ,mL/min 3,249±268 3,414±131 3,300±196 2 RER 1.09a±0.02 1.11a±0.02 1.17b±0.03 Heartrate,bpm 179±6 180±4 184±2 V /VO 34.8a±1.4 33.5a±0.9 38.4b±1.3 E 2 V /VCO 33.2b±1.4 29.3a±0.6 32.9b±1.2 E 2 Bloodlactate,mM/L Pre-exercise 0.6±0.07 0.7±0.05 0.7±0.05 Peakexercise 4.8a±0.7 5.9a±0.3 6.6b±0.3 a,bDifferentsuperscriptsindicatestatisticallydifferent(P<0.05)meansamongdominantsomatotypes. TABLE4.Nutritionalassessment(mean±standarderror)bydominantsomatotypecomponent Endomorphs Mesomorphs Ectomorphs Rangeofnormalvalues* Hematocrit,% 45.4±0.6 45.2±0.6 44.8±0.7 37–52 Hemoglobin,g/L 155±22 157±30 154±31 120–180 PlasmaCu,mg/dL 91a±6.2 78b±2.2 82a,b±3.1 70–140 PlasmaMg,mg/dL 1.70±0.03 1.73±0.05 1.80±0.04 1.6–3.0 PlasmaZn,mg/dL 88±2.9 85±1.8 88±2.7 65–115 PlasmaFe,mg/dL 122±7.1 116±5.9 124±9.6 50–150 Ferritin,mg/L 51.0±10.7 93.0±11.2 80.0±18.5 36–255 TIBC,mg/dL 301±13.8 281±9.2 285±10.5 250–500 Ceruloplasmin,mg/dL 29.8a±0.5 35.1b±3.1 34.2b±2.1 SOD,U 2,654a±102 3,298b±127 3,479b±192 2,500–3,500 TCHOL,mg/dL 179±10 169±6 175±8 <220 Triglycerides,mg/dL 111±10 97±8 91±8 40–197 HDL,mg/dL 40.3a±4.2 49.7b±2.4 56.8b±3.2 29–80 LDL,mg/dL 117±10 101±6 100±7 VLDL,mg/dL 22.3±2.8 19.0±1.6 18±1.6 *ReferencedatafromGrandForksHumanNutritionResearchCenter. a,bDifferentsuperscriptsindicatedifferent(P<0.05)meansamongdominantsomatotypes. TABLE5.Meandailydietaryintake(mean±standarderror)bydominantsomatotypecomponent Endomorphs Mesomorphs Ectomorphs RDAorESADD1* Energy,kcal 2,866±356 3,391±287 2,828±258 Protein,g 115±11.2 123±13.2 117±13.8 Fat,g 106±15.0 144±17.4 100±11.1 Carbohydrate,g 364±44.8 392±35.6 335±24.8 Cu,mg 1.6±0.2a 2.4±0.3b 2.1±0.3b 1–3 Fe,mg 19.0±2.1 24.0±4.5 19.0±2.1 12 Mg,mg 335±26a 432±55b 405±74b 350 Zn,mg 13.4±1.3 15.8±1.7 13.3±2.2 15 *NRC(1989). a,bDifferentsuperscriptsindicatestatisticallydifferent(P<0.05)meansamongdominantsomatotypes. relatedtosomatotype;thisrelationshipwas DISCUSSION significant only in the mesomorphs. Correlations between individual somato- The findings of this study demonstrate types and nutrient intakes were generally that dominant somatotype affects the body weak, with only a few significant relation- structure,functionalresponseatpeakexer- shipsidentified(Table6).Endomorphywas cise, and selected measurements of nutri- inversely related (r # −0.25) to carbohy- tional status of men. They also provide evi- drate,copper,iron,andmagnesiumintakes. dencethattheinfluenceofbodyphysiqueon Incontrast,mesomorphywasdirectlycorre- physiologicalfunctionatpeakexercisemay lated with fat and magnesium intakes. No be explained by a decrease of the energy- significant relationships were found be- producing component of the body, fat-free tween ectomorphy and nutrient intake. mass, or body cell mass. STRUCTURE,FUNCTION,ANDNUTRITIONWITHEXERCISE 175 TABLE6.Summaryofpartialcorrelationsrelatingsomatotypecomponentsandbodystructural,functional,and nutritionalvariables Endomorphs Mesomorphs Ectomorphs Bodystructure Height,cm 0.544d −0.173 0.350c Weight,kg 0.657d 0.152 −0.014 BMI,kg/m2 0.653d 0.410c −0.470d Fat-freeweight,kg 0.352b 0.182 0.054 Fatweight,kg 0.687d 0.020 −0.100 Bodyfat,% 0.872d −0.142 −0.303a Bodycellmass,kg −0.016 −0.127 −0.454d Functionalresponses Peakpower,W 0.075 0.252a 0.239a V.E,L/min 0.180 0.247a 0.270a V.O2,L/min 0.114 0.226 0.152 VO ,mL/kg/min −0.229 0.261a 0.256a 2 VCO ,L/min 0.044 0.244 0.183 2 RER −0.215 0.133 0.147 Heartrate,bpm 0.053 0.239 0.258a V /VO 0.106 0.147 0.285a E 2 V /VCO 0.246a 0.100 0.245a E 2 Bloodlactate,nmol/L Pre-exercise −0.206 0.081 −0.063 Post-exercise −0.218 0.187 0.251a Bloodbiochemicalvariables Hematocrit,% −0.009 −0.262a −0.221 Hemoglobin,g/L 0.001 −0.125 −0.092 PlasmaCu,mg/dL 0.468c −0.057 0.175 PlasmaMg,mg/dL 0.331a 0.401b 0.445b PlasmaZn,mg/dL 0.173 0.300a 0.276a PlasmaFe,mg/dL −0.163 −0.001 −0.004 Ferritin,mg/L −0.171 0.291a 0.051 TIBC,mg/dL 0.275 −0.012 0.121 Ceruloplasmin,mg/dL 0.757d 0.826d 0.833d SOD,U −0.439c 0.204 0.160 TCHOL,mg/dL 0.393a 0.353a 0.356a Triglycerides,mg/dL 0.517b 0.625d 0.448b HDL,mg/dL −0.111 −0.493b −0.203 LDL,mg/dL 0.411c 0.484c 0.416c VLDL,mg/dL 0.516c 0.624d 0.446c Dietaryvariables Energy,kcal/d −0.229 0.218 −0.003 Protein,g/d −0.063 0.108 0.043 Fat,g/d −0.069 0.286a 0.067 Carbohydrate,g/d −0.294a 0.078 −0.104 Cu,mg/d −0.361a 0.053 −0.208 Fe,mg/d −0.284a 0.160 −0.072 Mg,mg/d −0.246a 0.321a 0.101 Zn,mg/d −0.128 0.101 −0.067 aP<0.05. bP<0.01. cP<0.001. dP<0.0001. Somatotype has been described as the dependent variable in the determination of overview of physique which is independent somatotype. A high value for standing of size (Parnell, 1958). Parnell noted that height, associated with heavy body weight, Sheldon et al.’s (1940) somatotypes concen- high skinfold fat, and large girth dimen- trated on body shape, not body size, and sions, was characteristic of the dominant they seemingly deliberately avoided size by endomorphs. A similarly high standing placing height as the denominator in a se- height,butincombinationwiththeleastof ries of body proportions by which he classi- body weight, skinfold fat, and girth, was fiedphysiqueintermsofthreecomponents. characteristic of the dominant ectomorphic The structural dimensions associated group. The dominant mesomorphs demon- with the dominant somatotype groups in stratedanotheruniquecombination:lowest this study identified standing height as a standing height with weight and skinfold 176 W.W.BOLONCHUKETAL. fatlessthanthedominantendomorphsbut 0.20, and -0.34, respectively). Participants greaterthanthedominantectomorphs,and in these studies only included college stu- with girths greater than dominant ecto- dents. morphs but not significantly different from Bolonchuk et al. (1989) reported similar those of dominant endomorphs. Height ap- findings in samples of men (n 4 220) and parentlyisasignificantdimensionindeter- women(n4200)ranginginagefrom17–74 miningsomatotypebutonlyincombination years. Endomorphy was significantly corre- with other variables. lated with densitometrically determined These findings agree with Boileau and percentfatinmenandwomenr40.80and Lohman (1977) in that physique is charac- 0.87, respectively. Ectomorphy was nega- terized by three distinct and complemen- tively correlated with percent body fat r 4 tarycomponents,includingbodysize,struc- −0.56 and −0.68 for men and women. FFW ture, and composition. Body size refers to correlated significantly with mesomorphy r the physical magnitude of the body and its 4 0.36 and ectomorphy r 4 −0.62 only in segments.Bodystructurealludestothedis- men. tributionofbodypartsexpressedasratiosof Generalizations regarding the specificity stature. Composition is the amount of the of somatotypic ratings with body composi- various chemical components of the body. tion measurements should be restricted. In Although there is recurrent interest in de- previous studies (Dupertius et al., 1951; scribing the relationship between physique Wilmore, 1970; Slaughter and Lohman, and physical performance (Cureton, 1941; 1976; Bolonchuk et al., 1989), the highest Carter, 1970), only generalizations are component of the somatotype rating was available. As expressed by Sheldon et al. clear. These somatotypes, however, tended (1940), Tanner (1964), and de Garay et al. toward midline ratings, not extremes or (1974), individuals with relatively homog- dominantsomatotypes.Moreover,thedomi- enous somatotypes participate in specific nanceoftheratingwasmodifiedbyasecond sporting activities. Explanations for this component. Thus, the relationship of the finding remain tenuous. dominant component to a body composition One speculation is that somatotype re- variable may be diminished by the associa- flects differences in body composition. This tionofthemodifyingcomponenttothesame hypothesis rests on observed correlations variable. Bulbulian (1984) demonstrated a between body composition determinations significantcorrelationbetweenendomorphy and somatotype ratings. Dupertius et al. and percent body fat among individuals (1951) found a significant negative correla- with extreme endomorphic ratings. Bolon- tion between specific gravity and endomor- chuketal.(1990)discussedthiseffectofthe phy and nonsignificant correlations be- modified somatotype on body composition. tweenspecificgravity,mesomorphy,andec- In the present study, the impact of domi- tomorphy. Wilmore (1970) evaluated the nant somatotype, after statistically adjust- hypothesisthattheendomorphicandmeso- ing for the modifying somatotype compo- morphiccomponentsrepresentthedegreeof nents, on body composition was investi- fatness and FFW, respectively. Because of gated. Dominant endomorphy was low correlations (r 4 0.16 and 0.41 for fe- significantly correlated with body fatness males and males, respectively) between andfatweight,r40.872and0.687,respec- FFWandmesomorphy,Wilmorequestioned tively; it also was significantly related to thevalidityofconsideringthemesomorphic FFW, r 4 0.352. No significant relation- componentasthefat-freebody.Wilmoreob- ships were identified for mesomorphy and served greater correlation coefficients be- FFW. Ectomorphy, however, was signifi- tweenpercentbodyfatandtheendomorphic cantly and inversely correlated with BCM component among women and men (r 4 and body fatness, r 4 −0.454 and −0.303, 0.58 and 0.72, respectively). respectively. Thus, only endomorphy and Slaughter and Lohman (1976) reported ectomorphy are strong predictors of body significant correlations between percent composition. body fat and endomorphy, mesomorphy, Anotherconsiderationintherelationship and ectomorphy (r 4 0.74, 0.45, and −0.66, between somatotype and body composition respectively). Correlation coefficients relat- istheimpactofstatureonthisrelationship. ing FFW and the somatotype components Stature is one discriminating factor among were not significant (P > 0.05; r 4 0.25, individualswithdifferentsomatotypes.Me-
Description: