![]() ![]() |
![]() |
UFDC Home | Search all Groups | UF Institutional Repository | UF Institutional Repository | | Help |
Material Information
Notes
Record Information
|
Full Text |
PAGE 1 RESEARCHOpenAccess100%Orangejuiceconsumptionisassociatedwith betterdietquality,improvednutrientadequacy, decreasedriskforobesity,andimproved biomarkersofhealthinadults:NationalHealthand NutritionExaminationSurvey,2003-2006CarolEO Neil1*,TheresaANicklas2,GailCRampersaud3andVictorLFulgoniIII4AbstractBackground: Consumptionof100%orangejuice(OJ)hasbeenpositivelyassociatedwithnutrientadequacyanddiet quality,withnoincreasedriskofoverweight/obesityinchildren;however,noonehasexaminedthesefactorsinadults. Thepurposeofthisstudywastoexaminetheassociationof100%OJconsumptionwithnutrientadequacy,diet quality,andriskfactorsformetabolicsyndrome(MetS)inanationallyrepresentativesampleofadults. Methods: Datafromadults19+yearsofage(n=8,861)participatingintheNationalHealthandNutritionExamination Survey2003-2006wereused.TheNationalCancerInstitutemethodwasusedtoestimatetheusualintake(UI)of100% OJconsumption,selectednutrients,andfoodgroups.PercentagesofthepopulationbelowtheEstimatedAverage Requirement(EAR)orabovetheAdequateIntake(AI)weredetermined.DietqualitywasmeasuredbytheHealthy EatingIndex-2005(HEI-2005).Covariateadjustedlogisticregressionwasusedtodetermineifconsumershadalower oddsratioofbeingoverweightorobeseorhavingriskfactorsofMetSorMetS. Results: Usual percapita intakeof100%OJwas50.3ml/d.Amongconsumers(n=2,310;23.8%),UIwas210.0ml/d. Comparedtonon-consumers,consumershadahigher(p<0.05)percentage(%SE)ofthepopulationmeetingthe EARforvitaminA(39.72.5vs54.01.2),vitaminC(0.00.0vs59.01.4),folate(5.80.7vs15.10.9),and magnesium(51.61.6vs63.71.2).ConsumerswerealsomorelikelytobeabovetheAIforpotassium(4.10.8vs 1.80.2).HEI-2005wassignificantly(p<0.05)higherinconsumers(55.00.4vs49.70.3).Consumersalsohadhigher intakesoftotalfruit,fruitjuice,wholefruit,andwholegrain.Consumershadalower(p<0.05)meanbodymassindex (27.60.2vs28.50.1),totalcholesterollevels(197.61.2vs200.80.75mg/dL),andlowdensity lipoprotein-cholesterollevels(112.51.4vs116.70.93mg/dL).Finally,comparedtonon-consumersof100%OJ, consumerswere21%lesslikelytobeobeseandmaleconsumerswere36%lesslikelytohaveMetS. Conclusion: Theresultssuggestthatmoderateconsumptionof100%OJshouldbeencouragedtohelpindividuals meettheUSDAdailyrecommendationforfruitintakeandasacomponentofahealthydiet. Keywords: Orangejuiceconsumption,100%fruitjuiceconsumption,Dietquality,Nutrients,Nutrientadequacy,Adults, Weight,Obesity,Metabolicsyndrome,NHANES *Correspondence: coneil1@lsu.edu1LouisianaStateUniversityAgriculturalCenter,261KnappHall,BatonRouge, Louisiana70803,USA Fulllistofauthorinformationisavailableattheendofthearticle 2012O'Neiletal.;licenseeBioMedCentralLtd.ThisisanOpenAccessarticledistributedunderthetermsoftheCreative CommonsAttributionLicense(http://creativecommons.org/licenses/by/2.0),whichpermitsunrestricteduse,distribution,and reproductioninanymedium,providedtheoriginalworkisproperlycited.O Neil etal.NutritionJournal 2012, 11 :107 http://www.nutritionj.com/content/11/1/107 PAGE 2 BackgroundConsumptionof100%fruitjuice(FJ)hasbeenassociated withhigherintakesofkeynutrients,includingvitamins CandB-6,folate,thiamin,magnesium,andpotassium, aswellasbetterdietquality,andincreasedintakeoftotal andwholefruitconsumptioninchildren[1-4]andadults [3]ascomparedtothosethatdonotconsume100%FJ. Therehavebeenconcernsaboutoverweight/obesityin consumersof100%FJ,especiallychildren[5-7].Most studieshavebeenconductedinchildrenandhavenot shownarelationshipbetween100%FJconsumptionand weight[8].Cross-sectionalstudiesthathavebeenconductedinadultshaveshownthatconsumptionof100% FJhasbeeninverselyassociatedwithbodymassindex (BMI)[9,10]andobesity[10];however,thelongitudinal Nurses HealthStudyIIshowedthat100%FJconsumptionwaspositivelyassociatedwithweightgain[11]. Therelationshipbetweenconsumptionof100%FJand othermarkersofdiseaseamongadultsisinconsistent. PereiraandFulgoni[10],usingdatafromtheNational HealthandNutritionExaminationSurvey(NHANES) 1999-2004andYooetal.[12]usingdatafromthe BogalusaHeartStudy,showednoassociationofriskof metabolicsyndrome(MetS)among100%FJconsumers; anotherstudyshowedthat,inmiddleagedandolder adults,fastingglucose,butnotfastinginsulin[13]was lowerin100%FJconsumers.Indifferentstudies,diabetes riskwasshowntobeassociatedwith100%FJconsumption[14]ornot[11].DatafromtheCARDIAstudyhave shownanassociationofareducedriskofhypertension with100%FJconsumption[15].Sincedataontheeffects ofconsumptionof100%OJonadulthealthareconflicting,furtherstudiesareneeded. Fewstudieshaveexaminedtheeffectofspecificfruit juicesondietandhealth.Orangejuice(OJ)isthemost popular100%FJconsumedintheUS.In2009, per capita availabilityofOJwas14.84liters[16].Orange juiceisalsooneofthemostnutrientdense100%FJ,regardlessoftypeofdensitymeasuresusedintheevaluation[17].Twohundredandthirtysevenmlof100%OJ provides469kilojoules(kJ)(112kcal),21gtotalsugars, 124mgvitaminC,27mgmagnesium,0.10mgvitamin B-6,74 gDietaryFolateEquivalents,496mgpotassium,andonly0.06gsaturatedfattyacids(SFA)and 2.48mgsodium[18].Somebrandsofcommercially available100%OJarefortifiedwithfiber,calcium,or vitaminD;thesehavebeenidentifiedasnutrientsof publichealthconcerninthe2010DietaryGuidelinesfor Americans[19]. Invitro[20]andanimalstudies[21,22]havesuggested thatcitrusjuicesorcomponentsofthesejuices,including theflavanoneshesperidinandnaringin(ortheiraglycone formshesperetinandnaringenin),mayhavebeneficial effectsonbloodlipids.Clinicalstudiesconductedinadults haveshownthatconsumptionof100%OJhasbeenassociatedwithhealthbenefitsincludingpositiveeffectson bloodlipids[23-26] especiallyinhypercholesterolemic individuals,lowerlevelsofseveraloxidativeorinflammatorystressbiomarkers[27-29],andlowerbloodpressure [30].Epidemiologicstudies,usinganationallyrepresentativesample,lookingattheassociationbetweenconsumptionof100%OJandhealthmarkersarelacking.The objectiveofthisstudywastoexaminetheassociationof 100%OJusualintakes(UI)onselectnutrients,foodgroup equivalents,dietquality,weightparameters,andriskfactorsassociatedwithcardiovasculardiseaseandmetabolic syndromeinadults.MethodsStudypopulationDatafromadults19+yrs(n=8,861)participatinginthe NHANES2003-2006werecombinedfortheseanalyses toincreasethesamplesize.Femaleswereexcludedfrom thestudyiftheywerepregnantorlactating.Demographicinformation[31]andphysicalactivitylevels[32] weredeterminedfromtheNHANESinterview.NHANES hasstringentconsentprotocolsandprocedurestoensure confidentialityandprotectionfromidentification[33]. Sincethiswasasecondarydataanalysiswithalackof personalidentifiers,thisstudywasexemptedbythe LouisianaStateUniversityAgriculturalCenterInstitutionalReviewBoard.DeterminationofdietaryintakedataDietarydatawerecollectedusingtwo24-hourdietary recallsusinganautomatedmultiple-passmethod[34,35]; thefirstrecallwasconductedinpersonbyatrained interviewerandthesecondrecallwasconducted310dayslaterviatelephone.Onlyrecalldatajudgedtobe completeandreliablebytheNationalCenterforHealth Statisticsstaffwereincludedinthisstudy.Detailed descriptionsofthedietaryrecallsanddatacollectionare availableintheNHANESDietaryInterviewer sTraining Manual[36]. Inthisstudy,100%OJwasdefinedusingtheUnited StatesFoodandDrugAdministrationdefinition[37]for 100%FJ;thatistheproductcontained100%FJ inthis case,OJ.Thisincludes100%FJmadefromconcentrate and100%FJwithaddednutrients,suchascalciumor vitaminD;butdoesnotincludejuicedrinksorother productsthatcontainlessthan100%fruitjuice.IndividualfoodcodesinNHANES2003-2004and2005-2006 wereusedtodetermineintakeof100%OJ.Consumers of100%OJweredefinedasthoseparticipantsconsuminganyamountof100%OJoneitherdayofthe24-hour recalls.Todeterminenutrientintake,theUSDAFood andNutrientDatabaseforDietaryStudies,versions2 [38]and3[39]wereusedforNHANES,2003-2004andO Neil etal.NutritionJournal 2012, 11 :107 Page2of10 http://www.nutritionj.com/content/11/1/107 PAGE 3 2005-2006,respectively.Nutrientsexaminedincluded macronutrients,dietaryfiber,andsodiumandalsothose micronutrientslikelytobeprovidedby100%OJ:vitamins A,C,andB6;folate;magnesium;andpotassium.Intake fromsupplementswasnotconsidered.Foodgroupequivalentintakesandhealthyeatingindex (HEI-2005)Foodgroupequivalentintakes(formerlycalledMyPyramidequivalents)weredeterminedusingMyPyramid EquivalentsDatabase2.0;whennecessary,intakesfor NHANES2005-2006werehandmatchedtosimilar foods.TheHEI-2005wasusedtodeterminedietquality [40].TheSAScodeusedtocalculateHEI-2005scores wasdownloadedfromtheCenterforNutritionPolicy andPromotionwebsite[41].PhysiologicalmeasuresHeight,weight,andwaistcircumference(WC)were obtainedaccordingtoNHANESprotocols[42].Body massindexwascalculatedasbodyweight(kilograms) dividedbyheight(meters)squared[43].Fortheodds ratio(OR)assessments,overweight/obesityandhigh waistcircumferenceweredeterminedusingtheNational HeartLungandBloodInstitute(NHLBI)ClinicalGuidelines[43].Systolic(SBP)anddiastolicbloodpressures (DBP)weredeterminedusingthestandardNHANES protocol[44]andthemeanofallvaluesmeasuredwas used.Totalcholesterolandhighdensitylipoproteincholesterol(HDL-C)weredeterminedonnon-fastedindividuals[45]whilelowdensitylipoproteincholesterol (LDL-C)(46),triacylglycerides[46],bloodglucose[47], andinsulin[47]weredeterminedononlyfastedsubjects. Pertheseprotocols,notallindividualsmayhavevalues foralltests(seetablesforsamplenumbers).Metabolic syndromewasdefinedusingtheNHLBIAdultTreatment PanelIIIcriteria[48];thatishaving3ormoreofthefollowingriskfactors:abdominalobesity,WC>102cm (males),>88cm(females);hypertension,SBP 130mmHg orDBP 85mmHgortakinganti-hypertensivemedications;HDL-C,<40mg/dL(males),<50mg/dL (females);hightriacylglycerides, 150mg/dLortaking anti-hyperlipidemicmedications;highfastingglucose, 110mg/dLortakinginsulinorotherhypoglycemic agents.StatisticalanalysesSamplingweightsandthesamplingunitsandstratainformation,asprovidedbyNHANES,wereincludedinall analysesusingSUDAANv10.0(ResearchTriangle Institute;Raleigh,NC).Usualintakesweredetermined usingSASv9.2(SASInstitute,Cary,NC).Usualintake determinationsrepresentlongtermaveragedailyintakes andaredeterminedbyremovingexcessiveintra-person variationinintakes;thesearethebestestimatestocomparetodietaryrecommendationsassuggestedintakesare tobemetovertime,ratherthanmeasuredonasingleday. Usualintakeof100%OJconsumptionandselectednutrientswascalculatedusingtheNationalCancerInstitute (NCI)method[49].ForUIof100%OJ,whichisconsumedepisodically,thetwopartNCImodel(probability andamount)wasused;fornutrientswhichareconsumed dailybymostpeople,theonepartmodelwasused.The NCISASmacros(Mixtranv1.1andDistribv1.1)were usedtogenerateparametereffectsaftercovariateadjustmentsandtoestimatethedistributionofusualintakevia MonteCarlosimulationmethods,respectively[49].Covariatesinthisstudyweredayoftheweekofthe24-hrrecall[codedasweekend(Friday-Sunday)orweekday (Monday-Thursday)]andsequenceofdietaryrecall(first orsecond).SoftwareprovidedbyNCIwasusedwiththe twodaysofintakeusingone-daysamplingweightstoobtainappropriatevarianceestimates.Balancedrepeated replication(BRR)wasperformedtoobtainstandarderrors (SE)andconfidenceintervals(CI)forthepercentiles;BRR weightswereconstructedwithFayadjustmentfactor M=0.3(perturbationfactor0.7)andfurtheradjustedto matchtheinitialsampleweighttotalswithinspecificage/ gender/ethnicitygroupingsforthefulldataset.The DietaryReferenceIntake(DRI)agegroupswereusedto presentUIforeachofthenutrientsstudied. ToassesstheextentofinadequateintakeofvitaminsA andC,folate,andmagnesium,theEstimatedAverage Requirements(EAR)cut-pointmethodproposedbythe InstituteofMedicine[50]wasused.TheEARistheappropriateDRItousewhenassessingtheadequacyof groupintakes[50].TheEARcut-pointmethodprovides anestimateoftheproportionofindividualsinthegroup withinadequateintakesbyageandgender.Fornutrients withoutanEAR, i.e. sodiumandpotassium,thepercent abovetheAdequateIntake(AI)wasdetermined. Todetermineifthereweresignificantdifferences (p<0.05)forthepercentageof100%OJconsumersvs non-consumerswithintakeslessthantheEARorabove theAIaZ-statisticfordifferencesinpopulationproportionswasused.Linearregressionwasusedtodetermine differencesin100%OJconsumersandnon-consumers forphysiologicalmeasures.Logisticregressionwasused todetermineif100%OJconsumershadalowerORof beingoverweightorobeseorhadotherhealthriskfactors.Covariatesforlinearandlogisticregressionincluded energy(kcals),age,gender,ethnicity,povertyindexratio, andphysicalactivityforbodyweightandBMI;forother physiologicalmeasuresBMIwasalsoaddedasacovariate.Physicalactivitywasdeterminedfromphysicalactivityquestionnairesandseparatedsubjectsintothree categories:sedentary,moderateactivity,andvigorousactivity[51].O Neil etal.NutritionJournal 2012, 11 :107 Page3of10 http://www.nutritionj.com/content/11/1/107 PAGE 4 ResultsUsualintakeoforangejuiceThesampleconsistedofadults19yearsofageandolder (n=8,861)ofwhich2,310(23.8%)consumed100%OJ. Percapitaconsumptionwas50.31.8ml/day,whereas amongconsumers,consumptionwas210.03.8ml/day. Percapitaconsumptionandconsumptionamongconsumerswashigherinmales(p<0.05)thaninfemales.The 75thpercentileamongconsumerswas259.36.8ml/day (Table1).Usualintakeofmacronutrients,andselected micronutrientsTheUIofcarbohydrates,totalsugars,anddietaryfiberwas higher(p<0.05)inconsumersthaninnon-consumers (Table2).Table3showsthatin100%OJconsumers,the UIofvitaminsA,B6,andC;folate;andmagnesiumwas higher(p<0.05)thannon-co nsumers,andconsumerswere lesslikelytobebelowtheEARthannonconsumers (p<0.05)(Table3).Thoseconsuming100%OJhadausual meanintakeofvitaminAof66015RetinolActivity Equivalents(RAE) g/dcomparedwith5808RAE g/d; approximately40%ofthoseconsuming100%OJwere belowtheEARforvitaminA,comparedwith54%ofnonconsumers(bothp<0.05).Orangejuiceconsumershada usualmeanintakeoffolateof60610DietaryFolate Equivalents(DFE) g/dcomparedwith5216DFE g/d; approximately6%of100%OJconsumerswerebelowthe EAR,comparedwith15%fornon-consumers(both p<0.05).Adultsconsuming100%OJhadameanusualintakeofvitaminCof1462.4mg/dcomparedwithapproximately671.3mg/dfornon-consumers.Onaverage, 100%OJconsumerswerenotbelowtheEAR,compared with59%ofnon-consumers(p<0.05).Adultsthatconsumed100%OJhadhigherus ualmeanintakeof313 4mg/dmagnesiumcomparedwith2833mg/dfornonconsumers.Approximately64%ofadultsthatconsumed 100%OJwerebelowtheEAR,comparedwith52%for non-consumers(bothp<0.05).Theusualmeanintakeof potassiumof100%OJconsumerswas302636mg/d, comparedwith262322mg/dfornon-consumers; approximately4%of100%OJconsumerswereabovethe AI,comparedwithonly2%ofnon-consumers(p<0.05).DietqualityandfoodgroupequivalentsusualintakeDietquality,asmeasuredbyHEI-2005,wassignificantly higher(p<0.05)inconsumersthaninnon-consumers (55.00.4vs49.70.3)(Table4).Totalfruit(1.80.05 vs0.70.02cupequivalents/d),fruitfromjuice(1.1 Table1Usualintakeoforangejuice(ml/d)inthetotalpopulationandconsumersTotalpopulationConsumersonlyPercentilesofintakeamongconsumers N=8,861n=2,310 GenderMeanSEPct.MeanSE25thSE50thSE75thSE Combined50.31.823.8210.03.8109.43.0468.64.7259.36.8 Male59.22.7a24.5235.65.3a118.34.1192.22.0286.98.3 Female41.42.1b23.1177.45.0b94.63.8147.97.4227.77.7Datasource:Adults19+yearsofageparticipatinginNHANES2003-2006withconsumersdefinedasorangejuiceconsumptiononeitheroftwodaysofinta ke assessment. Meanswithdifferentlettersindicateasignificantdifferencebetweengendersp<0.05. 1ml=0.0338USfluidoz. Table2Energyandmacronutrientusualintakesamong consumersandnon-consumersoforangejuiceUsualintakePercentile GroupMeanSE1025507590 Energy,Kcal/d Consumer22483314001702212626843569 Non-Consumer21851513391656208726223170 Protein,g/d Consumer84.91.352.262.579.8102.0125.3 Non-Consumer83.40.750.462.880.0100.6121.4 Carbohydrates,g/d Consumer2794a178214265330402 Non-Consumer2602b155194248314384 Totalsugars,g/d Consumer1332.3a77.496.9124160201 Non-Consumer1191.3b57.279.0110149192 Dietaryfiber,g/d Consumer16.60.3a9.612.215.820.124.7 Non-Consumer15.30.3b8.611.114.518.522.9 Totalfat,g/d Consumer83.11.447.760.878.7101.2124.6 Non-Consumer83.70.747.661.379.9102.1125.1 Saturatedfattyacids,g/d Consumer27.40.615.219.625.833.441.6 Non-Consumer27.80.315.019.726.334.342.8Datasource:Adults19+yearsofageparticipatinginNHANES2003-2006with consumersdefinedasorangejuiceconsumptiononeitheroftwodaysof intakeassessment. n:2,310OJconsumersand6,551non-consumers. Meanswithdifferentlettersaresignificantlydifferent,p<0.05.O Neil etal.NutritionJournal 2012, 11 :107 Page4of10 http://www.nutritionj.com/content/11/1/107 PAGE 5 0.03vs0.20.01cupequivalents/d)andwholefruit (0.70.03vs0.50.02cupequivalents/d)wereallhigher forconsumersascomparedtonon-consumers.In addition,wholegrainconsumptionwashigher(p<0.05) inconsumers(0.80.03ounceequivalents)thaninnonconsumers(0.60.02ounceequivalents).AnthropometricandcardiovascularriskfactorsConsumersof100%OJhadalowermeanBMIthannonconsumers(27.60.18vs28.50.11kg/m2;p=0.0001) (Table5).Adultsthatconsumed100%OJalsohadlower totalcholesterol(197.61.2mg/dLv200.80.75mg/dL; p=0.0220)andlowerLDL-C(112.51.4mg/dLv116.7 0.93mg/dL;p=0.0110)levelsthanthosethatdidnotconsume100%OJ.SerumvitaminC(1.10.01vs0.9 0.01mg/dL;p<0.0001),redbloodcellfolate(309.33.6 vs285.32ng/mlRBC;p<0.0001),andserumfolate (14.80.24vs13.70.25ng/ml;p=0.0013)werehigher inconsumersof100%OJthaninnon-consumers(Table5). Therewerenodifferencesamongconsumersandnonconsumersinwaistcircumference,SBPorDBP,C-reactive protein,HDL-cholesterol,triacyglycerides,bloodglucose, insulin,orhomocysteinelevels.Riskofmetabolicsyndromeandriskfactorsformetabolic syndromeMalesthatconsumed100%OJshoweda36%reducedrisk [OR:0.62;95thCI:0.45-0.91]ofMetS;nodifferenceswere observedinfemales(OR:1.4195thCI:0.96-2.07)(Table6). Maleconsumersof100%OJalsoshoweda23%reduced risk(OR:0.7795thCI:0.61-0.99)oflowHDL-Clevels. Overalltherewasa21%reducedrisk(OR:0.79;95thCI: 0.65-0.95)ofobesityinadultsthatconsumed100%OJ comparedwithnon-consumers.DiscussionApproximately24%ofthepopulationconsumed100% OJoneitherofthedayswhena24hourrecallwastaken. Table3Selectedmicronutrientusualintakesamongconsumersandnon-consumersoforangejuiceandcomparisonto EstimatedAverageRequirements(EAR)orAdequateIntake(AI)UsualintakePercentileEAR GroupMeanSE1025507590%BelowSE VitaminA,RAEug/d Consumer66015a364471618802100939.72.5aNon-Consumer5808b26537352973096054.01.2bVitaminB-6,mg/d Consumer2.10.0a1.31.62.02.63.29.51.0aNon-Consumer1.90.0b1.11.41.82.32.916.71.4bFolate,DFEug/d Consumer60610a3584515787308905.80.7aNon-Consumer5216b28837148763479615.10.9bVitaminC,mg/d Consumer1462.4a1101251481671780.00.0aNon-Consumer66.61.3b26.138.958.585.4117.159.01.4bMagnesium,mg/d Consumer3134a19323829637244951.61.6aNon-Consumer2833b17021327033941163.71.2bUsualIntakePercentileAI GroupMeanSE1025507590%AboveSE Sodium,mg/d Consumer3483532066260433384213510798.40.3 Non-Consumer3501292137265433514194507498.80.2 Potassium,mg/d Consumer302636a197823962939356441954.10.8aNon-Consumer262322b161020092532314037561.80.2bDatasource:Adults19+yearsofageparticipatinginNHANES2003-2006withconsumersdefinedasorangejuiceconsumptiononeitheroftwodaysofinta ke assessment. n:2,310OJconsumersand6,551non-consumers. Meanswithdifferentlettersaresignificantlydifferent,p<0.05.O Neil etal.NutritionJournal 2012, 11 :107 Page5of10 http://www.nutritionj.com/content/11/1/107 PAGE 6 Malesconsumedmore100%OJ,bothasapercentageof consumersandinamount.Thepercentofconsumers wassimilartothatofchildren[52]. Percapita UIconsumptionwas50.3ml/d;howevertheUIforconsumers was210.0ml/d.Unlikechildren,wherethereisaspecific recommendationforconsumptionof100%FJ[53],there isnorecommendationforconsumptionof100%FJby adults,otherthan themajorityofthefruitrecommendedshouldcomefromwholefruits,includingfresh, canned,frozen,anddriedforms,ratherthanfrom juice [19]. Therationaleforlimiting100%FJintakeisthatitlacks fiberandcancontributetoexcessenergyconsumption whenconsumedinexcess[19].Amodelingstudy,commissionedbythe2005DietaryGuidelinesAdvisory Committee[54]suggestedthatdietaryfiberwaslower whenwholefruitwasremovedfromthediet,whichledto therecommendationthatintakeofnomorethanonethirdoffruitservingsshouldcomefrom100%FJandtwothirdsshouldcomefromwholefruit.However,thisstudy andothers[1-4,52]haveshownthateitherconsumersof 100%FJhadhigherintakesofdietaryfiberthannonconsumersortherewasnodifferenceinfiberconsumptionbetweenthegroups.Since100%FJislowindietary fiber,itsuggeststhatotherhigherfiberfoods,including wholefruit,areconsumedbyconsumersof100%FJ;this wasshownnotonlyinthisstudyof100%OJconsumers, buthasbeenshowninotherstudiesaswell[1,2,52]. Asexpected,100%OJconsumershadincreasedintake ofnutrientstypicallyfoundin100%OJ(i.e vitaminC, folate,andpotassium).Consumerswerealsolesslikely tohaveintakesbelowtheEARforvitaminsA,B-6,and C;folate;andmagnesiumthannon-consumers.Thereductioninthepercentageofthepopulationwithinadequateintakesofthesenutrientsassociatedwith100% OJconsumptionindicatesthevalueofconsuminganutrientdensebeverage[17].MeanpotassiumUIwasalso higherinconsumersthannon-consumersandthepercentageofthepopulationabovetheAIwashigher.This isanimportantfindingsincepotassiumwasidentifiedas anutrientofpublichealthconcern[19].Toourknowledgethisisthefirstreportstudyingtheassociationbetweentheconsumptionof100%OJandnutrientadequacy inadultsusingtherecommendedUIprocedures. Dietquality,asmeasuredbyHEI-2005,wasapproximately10%higherin100%OJconsumers.Whiletheincreasewasdueinparttotheincreaseinwholefruitand FJconsumption,consumersalsohadahigherUIofwhole grains.Althoughintakeoftotalfruit,wholefruit,andFJ washigherin100%OJconsumers,overallintakefromthe fruitfoodgroupswaslow.Despiteextensive,coordinated publichealthcampaignsbygovernment,industry,and others[55],fruitconsumptioninadultsremainslow[56]. Sincea236.6mlservingof100%OJcountsaspartofthe recommendationforthefruitgroup,moderateconsumptionof100%OJcanhelpindividualsmeetfruitintake recommendations. Thepotentialassociationofconsumptionof100%FJ andweightinchildrenhasbeendebatedintheliterature formorethanadecade[1,2,5-8,57-62];however,lessis knownaboutthisrelationshipinadults.Participantsinthe Nurses HealthStudyIIwithahigherconsumptionof 100%FJhadalargerweightgainthanthosewithlower fruit100%FJconsumption,althoughtheamountsand typesof100%FJconsumed,andspecificcovariatesused intheanalyses,werenotclear[11].Anotherstudy[9] showedthatselfreportedBMIwaslowerinconsumersof 100%FJ.Ourswasthefirststudythatusedanationally representativeadultpopulationthatshowedconsumersof Table4Dietquality,asmeasuredbyhealthyeating indexandselectusualintakesofMyPyramidfood componentsamongconsumersandnon-consumersof orangejuiceUsualintakePercentile GroupMeanSE1025507590 HealthyEatingIndex,score Consumer55.00.4a44.549.354.960.665.7 Non-Consumer49.70.3b38.443.549.455.661.4 Totaldairy,cupequivalents Consumer1.60.050.60.91.42.12.9 Non-Consumer1.50.0020.50.81.32.02.8 Totalfruit,cupequivalents Consumer1.80.05a1.11.41.82.12.3 Non-Consumer0.70.02b0.20.30.60.91.4 Fruitjuice,cupequivalents Consumer1.10.03a0.80.91.11.31.4 Non-Consumer0.20.01b0.00.00.10.20.4 Wholefruit,cupequivalents Consumer0.70.03a0.10.30.61.01.4 Non-Consumer0.50.02b0.10.20.40.71.1 Totalgrain,ounceequivalents Consumer7.00.14.25.36.78.410.0 Non-Consumer6.80.13.84.96.48.310.3 Wholegrain,ounceequivalents Consumer0.80.03a0.20.40.71.01.5 Non-Consumer0.60.02b0.10.20.50.91.3 Totalvegetables,cupequivalents Consumer1.70.030.91.21.62.02.5 Non-Consumer1.60.030.91.21.52.02.5Datasource:Adults19+yearsofageparticipatinginNHANES2003-2006with consumersdefinedasorangejuiceconsumptiononeitheroftwodaysof intakeassessment. n:2,310OJconsumersand6,551non-consumers. Meanswithdifferentlettersaresignificantlydifferent,p<0.05.O Neil etal.NutritionJournal 2012, 11 :107 Page6of10 http://www.nutritionj.com/content/11/1/107 PAGE 7 Table5Physiologicalmeasuresamongconsumersandnon-consumersoforangejuiceConsumersNon-consumers VariablenLSMSEnLSMSEp-Value BodyWeight*(kg)213081.30.20615081.40.120.5072 BMI*(kg/m2)213027.60.18615028.50.11<0.0001 WaistCircumference*(cm)206997.10.17600597.30.100.4381 SystolicBloodPressure(mmHg)**1801124.00.535296123.80.300.7604 DiastolicBloodPressure(mmHg)**180170.80.42529671.30.230.2976 SerumVitaminC(mg/dL)**20221.10.0158130.910.01<0.0001 C-ReactiveProtein**(mg/dL)20410.430.0358740.410.010.5922 TotalCholesterol**(mg/dL)2034197.61.25857200.80.750.0220 HDL-Cholesterol**(mg/dL)203353.70.45585753.80.240.8230 Triglycerides**(mg/dL)954141.63.62833147.43.30.2246 LDL-Cholesterol**(mg/dL)939112.51.42746116.70.930.0110 PlasmaGlucose**(mg/dL)960103.01.42856102.40.620.6853 Insulin**(uU/mL)95111.60.38282311.30.250.4441 RBCFolate**(ng/mLRBC)2044309.33.65872285.32.0<0.0001 SerumFolate**(ng/mL)203714.80.24584913.70.250.0013 Homocysteine**(umol/L)19888.70.0857298.90.060.0853*Adjustedforenergy(kcal),age,gender,ethnicity,povertyincomeratio,andphysicalactivity.**Adjustedforenergy(kcal),age,gender,ethnicity,povertyincomeratio,BMI,andphysicalactivity. Abbreviations:LSM=leastsquaremean;SE=standarderror;BMI=bodymassindex;HDL-C=highdensitylipoprotein-cholesterol;LDL-C=low-density lipoproteincholesterol;RBC=redbloodcell. Table6Riskofmetabolicsyndrome,increasedriskofindividualmetabolicsyndromecomponentsandotherhealth factorsamongadult(19+yrs)consumersandnon-consumersoforangejuiceRiskORSELCL,UCLp-ValueORSELCL,UCLp-ValueORSELCL,UCLp-Value AllFemaleMale MetS0.93 0.130.71,1.220.57901.41 0.280.96,2.070.07950.64 0.120.45,0.910.0119 ElevatedBP0.980.070.85,1.130.75860.98 0.150.73,1.310.89480.95 0.120.75,1.220.7078 HighGlucose0.96 0.100.78,1.180.67721.08 0.170.79,1.470.61800.82 0.110.64,1.060.1361 HighTG1.11 0.130.89,1.390.35751.41 0.251.00,1.990.05030.91 0.110.72,1.150.4474 ElevatedWC0.98 0.150.73,1.330.90671.09 0.240.72,1.660.68900.83 0.150.59,1.180.3052 LowHDL-C0.92 0.080.78,1.090.35181.08 0.110.891.310.42710.77 0.100.61,0.990.0406 Obese0.79 0.080.65,0.950.01160.76 0.100.59,0.970.02890.79 0.090.64,0.970.0276 Overweight1.13 0.070.99,1.280.06991.18 0.100.99,1.390.05811.07 0.090.91,1.260.3976 OverweightorObese0.89 0.070.76,1.040.14370.88 0.090.73,1.080.22160.85 0.090.69,1.060.1461 HighLDL-C0.82 0.100.66,1.030.09080.76 0.120.57,1.030.07830.85 0.140.63,1.160.3163*Referencegroup:Non-consumersoforangejuicewithoddsratiosetat1.0. AllMetabolicSyndromeComponents:ElevatedWaistCircumference 102cminmenor 88cminwomen;ElevatedTriglycerides 150mg/dLortaking medicationforElevatedTriglycerides(AntihyperlipidemicAgentsorNicotinicAcidDerivatives);ReducedHDL-C<40mg/dLinmenor<50mg/dLinwom enor takingmedicationforReducedHDL-C(AntihyperlipidemicAgentsorNicotinicAcidDerivatives);ElevatedBP 130mmHgSystolicor 85mmHgDiastolicortaking medicationforElevatedBP(AntihypertensiveCombinations);ElevatedFastingGlucose 100mg/dLortakingmedicationforElevatedGlucose(Antidiabetic Agents);MetabolicSyndrome( 3riskfactorsabove).Otherriskfactors:ElevatedLDL-C 100mg/dL;OverweightBMI 25and<30;ObeseBMI 30;Overweightor ObeseBMI 25. Abbreviations:OR=oddsRatio;LCL=lowerconfidencelevel;UCL=upperconfidencelevel;SE=standarderror;MetS=metabolicsyndrome;BP=bloodpr essure; TG=triglycerides;WC=waistcircumference;HDL-C=highdensitylipoprotein-cholesterol;LDL-C=lowdensitylipoprotein-cholesterol.O Neil etal.NutritionJournal 2012, 11 :107 Page7of10 http://www.nutritionj.com/content/11/1/107 PAGE 8 100%OJhadalowerBMIthannon-consumers.These findingsareimportantsince100%OJhasthehighest per capita consumption[16]amongthejuicesandtherefore hasthepotentialtobeanimportantcomponentofthe diet.Clinicalstudiesthatincorporatedhighlevelsof100% OJ(750ml[24]or500ml[30])asaninterventionhave reportednoincreasesinweightorotheranthropometric measuresoverthecourseofthestudy. TotalcholesterollevelsandLDL-Clevelswereboth significantlylowerinconsumersof100%OJthannonconsumers.Compoundsfoundin100%OJ,including hesperidin,naringin,orlimonoidsortheircirculating aglyconeforms,havebeenshowntolowertotalorLDLCinanimalmodels[63,64].Itwashypothesizedthatthese compoundsmayhaveinhibited3-Hydroxy-3-methylglutarylcoenzymeAreductaseandincreasedtheexpressionofLDL-Creceptorsintheliver,amechanism similartostatins.Thesecompoundshavealsobeenshown toreducethenetsecretionofapolipoproteinB,whichin turnmayhelpinhibitcholesterolestersynthesis[20,65]. Orangejuice,athigherintakeamounts(750ml)has alsobeenshowntolowerLDL-CandraiseHDL-Cina randomizedclinicaltrialofhypercholesterolemiaindividuals[24].Althoughthepresentstudydidnotlookseparatelyatindividualswithhypercholesterolemia,itdid showthatamorerealisticconsumptionof100%OJwas associatedwithreducedtotalcholesterolandLDL-C levels.Itisnotclearwhytherewasnodifferenceshown betweenHDL-Clevelsbetween100%OJconsumersand non-consumers,asmayhavebeensuggestedbyclinical trials;theresponsemaybedose-dependentordependent oncontinualconsumption.Therewasa23%lowerriskof lowHDL-Clevelsinmalesonly. Consumptionof100%OJwasassociatedwitha21% lowerriskofobesityinmenandwomen.ThiswassimilartothefindingsofPereiraandFulgoni[10]that lookedattheriskofobesityandconsumptionof100% FJinparticipantsofNHANES1999-2004.Theyalso showedasignificantlylowerriskofmetabolicsyndrome, whereasthisstudyshowedalowerriskinmalesonly. Thatstudyshowedamuchhigherintakeof100%FJ, comparedwiththeintakeof100%OJonly;butthere werealsootherdifferencesinthepopulation,sincethey showed,forexamplethatconsumersweremorelikelyto befemale.Ourstudyshowedthat100%OJconsumers weremorelikelytobemales.Consumptiondifferences of100%FJinadultsneedtobestudiedfurther. Strengthsofthisstudyincludethatitencompasseda largenationallyrepresentativesampleachievedthrough combiningseveralsetsofNHANESdatareleases.The studyalsousestheNCImethodtoassessUIandthepercentageofthepopulationbelowrecommendedlevelsin 100%OJconsumersandnon-consumers,aswellasadjustmentfornumerouscovariatesincludingphysicalactivity. Twenty-fourhourdietaryrecallshaveseveralinherent limitations.Participantsreliedonmemorytoself-report dietaryintakes;therefore,dataweresubjecttononsamplingerrors,includingunderreportingofenergyand examinereffects.Respondentsmaynothavedifferentiated between100%OJorafruitdrink/ade.Confusionover thesebeverageshasbeenreflectedinseveralstudiesthat assessedacombined100%FJandjuicedrinkorsweetened FJcategory[66-69].TheuseofAIcannotbeusedtodeterminetheprevalenceofinadequateintakeinagroup. Rather,ifthemeanintakeofagroupisatorabovetheAI, andthevarianceofintakeinthegroupofinterestissimilartothevarianceofintakeusedinthepopulationoriginallyusedtosettheAI,theprevalenceofinadequate nutrientintakesislikelytobelow[50].Finally,since causalinferencescannotbedrawnfromNHANESanalyses,andduetomulti-collinearityofdiet,foodsother than100%OJmayhavecontributedtodifferencesinnutrientintakeoftheparticipants.ConclusionsConsumptionof100%OJwasassociatedwithbetterdiet qualityandanincreasedprevalenceofmeetingtheEAR forkeynutrientsandotherbiomarkersofpositivehealth outcomes,includinglowertotalcholesterolandLDL levels.Consumersof100%OJhadlowermeanBMIanda decreasedriskofobesity.Inaddition,maleshada decreasedriskofmetabolicsyndrome.Theseresultssuggestedthat100%OJconsumptionshouldbeencouraged asacomponentofahealthydiettohelpindividualsmeet nutrientandfruitintakerecommendations.Abbreviations AI:Adequateintake;BMI:Bodymassindex;BRR:Balancedrepeated replication;CI:Confidenceinterval;DBP:Diastolicbloodpressure; DFE:Dietaryfolateequivalents;DRI:Dietaryreferenceintake;EAR:Estimated averagerequirements;FJ:100%Fruitjuice;HDL-C:Highdensitylipoproteincholesterol;HEI-2005:Healthyeatingindex-2005;LDL-C:Lowdensity lipoprotein-cholesterol;MetS:Metabolicsyndrome;NHANES:Nationalhealth andNutritionexaminationsurvey;NHLBI:Nationalheart,lung,andblood institute;OJ:100%Orangejuice;OR:Oddsratio;RAE:Retinolactivity equivalents;SBP:Systolicbloodpressure;SFA:Saturatedfattyacids;UI:Usual intake;WC:Waistcircumference. Competinginterests GailRampersaud spositionattheUniversityofFloridaisco-fundedbythe FloridaDepartmentofCitrus.Noneoftheotherauthorsdeclareacompeting interest. Authors contributions Allauthorscontributedequallytothiswork.Allauthorsreadandapproved thefinalmanuscript. Acknowledgements ThisworkisapublicationoftheUnitedStatesDepartmentofAgriculture (USDA/ARS)Children sNutritionResearchCenter,DepartmentofPediatrics, BaylorCollegeofMedicine,Houston,Texas.Thecontentsofthispublication donotnecessarilyreflecttheviewsorpoliciesoftheUSDA,nordoes mentionoftradenames,commercialproducts,ororganizationsimply endorsementfromtheU.S.government.Thisresearchprojectwassupported bytheFloridaDepartmentofCitrus,andUSDA AgriculturalResearchO Neil etal.NutritionJournal 2012, 11 :107 Page8of10 http://www.nutritionj.com/content/11/1/107 PAGE 9 Servicethroughspecificcooperativeagreement58-6250-6-003.Partial supportwasreceivedfromtheUSDAHatchProjectLAB93951. Authordetails1LouisianaStateUniversityAgriculturalCenter,261KnappHall,BatonRouge, Louisiana70803,USA.2USDA/ARSChildren sNutritionResearchCenter, DepartmentofPediatrics,BaylorCollegeofMedicine,Houston,Texas77030, USA.3FoodScienceandHumanNutritionDepartment,UniversityofFlorida, Gainesville,Florida32611,USA.4NutritionImpact,LLC,BattleCreek,Michigan 49014,USA. Received:9March2012Accepted:30November2012 Published:12December2012 References1.NicklasTA,O'NeilCE,KleinmanR: Associationbetween100%juice consumptionandnutrientintakeandweightinchildrenaged2to 11years. ArchPedAdolescMed 2008, 162: 557 565. 2.O NeilCE,NicklasTA,KleinmanR: Relationshipbetween100%juice consumptionandnutrientintakeandweightofadolescents. AmJHealth Promot 2010, 24: 231 237. 3.O'NeilCE,NicklasTA,ZanovecM,FulgoniVL3rd: Dietqualityispositively associatedwith100%fruitjuiceconsumptioninchildrenandadultsin theUnitedStates:NHANES2003-2006. NutrJ 2011, 10: 17. 4.O'NeilCE,NicklasTA,ZanovecM,KleinmanRE,FulgoniVL: Fruitjuice consumptionisassociatedwithimprovednutrientadequacyinchildren andadolescents:theNationalHealthandNutritionExaminationSurvey (NHANES)2003-2006. PublicHealthNutr 2012, 15: 1871 1978. 5.DennisonBA,RockwellHL,BakerSL: Excessfruitjuiceconsumptionby preschool-agedchildrenisassociatedwithshortstatureandobesity. Pediatrics 1997, 99: 15 22. 6.DennisonBA,RockwellHL,NicholsMJ,JenkinsP: Children'sgrowth parametersvarybytypeoffruitjuiceconsumed. AmCollNutr 1999, 18: 346 352. 7.FaithMS,DennisonBA,EdmundsLS,StrattonHH: Fruitjuiceintake predictsincreasedadipositygaininchildrenfromlow-incomefamilies: weightstatus-byenvironmentinteraction. Pediatrics 2006, 118: 2066 2075. 8.O NeilCE,NicklasTA: Areviewoftherelationshipbetween100%fruit juiceconsumptionandweightinchildrenandadolescents. AmJLifestyle Med 2008, 2: 315 354. 9.Akhtar-DaneshN,DehghanM: Associationbetweenfruitjuice consumptionandself-reportedbodymassindexamongadult Canadians. JHumNutrDiet 2010, 23: 162 168. 10.PereiraMA,FulgoniVL3rd: Consumptionof100%fruitjuiceandriskof obesityandmetabolicsyndrome:findingsfromthenationalhealthand nutritionexaminationsurvey1999-2004. JAmCollNutr 2010, 29: 625 629. 11.SchulzeMB,MansonJE,LudwigDS,ColditzGA,StampferMJ,WillettWC,HuFB: Sugar-sweetenedbeverages,weightgain,andincidenceoftype2diabetes inyoungandmiddle-agedwomen. JAMA 2004,292: 927 934. 12.YooS,NicklasT,BaranowskiT,ZakeriIF,YangSJ,SrinivasanSR,BerensonGS: Comparisonofdietaryintakesassociatedwithmetabolicsyndromerisk factorsinyoungadults:theBogalusaheartstudy. AmJClinNutr 2004, 80: 841 848. 13.YoshidaM,McKeownNM,RogersG,MeigsJB,SaltzmanE,D'AgostinoR, JacquesPF: Surrogatemarkersofinsulinresistanceareassociatedwith consumptionofsugar-sweeteneddrinksandfruitjuiceinmiddleand older-agedadults. JNutr 2007, 137: 2121 2127. 14.BazzanoLA,LiTY,JoshipuraKJ,HuFB: Intakeoffruit,vegetables,andfruit juicesandriskofdiabetesinwomen. DiabetesCare 2008, 31: 1311 1317. 15.DuffeyKJ,Gordon-LarsenP,SteffenLM,JacobsDRJr,PopkinBM: Drinking caloricbeveragesincreasestheriskofadversecardiometabolic outcomesintheCoronaryArteryRiskDevelopmentinYoungAdults (CARDIA)Study. AmJClinNutr 2010, 92: 954 959. 16.UnitedStatesDepartmentofAgriculture.EconomicResearchService: Food availabilityspreadsheets .http://www.ers.usda.gov/data/foodconsumption/ FoodAvailspreadsheets.htm#fruitju.AccessedJanuary23,2012. 17.RampersaudGC: Acomparisonofnutrientdensityscoresfor100%fruit juices. JFoodSci 2007, 72: S261 S266. 18. UnitedStatesdepartmentofagriculturenutrientdatabase.NDBNo:09206 http://www.nal.usda.gov/fnic/cgi-bin/list_nut.pl.AccessedJanuary24,2012. 19.UnitedStatesDepartmentofAgricultureandU.S.DepartmentofHealth andHumanServices: DietaryguidelinesforAmericans,2010 .7thedition. Washington,DC:U.S:GovernmentPrintingOffice;2010.http://www.cnpp. usda.gov/DGAs2010-PolicyDocument.htm.AccessedJune21,2011. 20.BorradaileNM,CarrollKK,KurowskaEM: RegulationofHepG2cell apolipoproteinBmetabolismbythecitrusflavanoneshesperetinand naringenin. Lipids 1999, 34: 591 598. 21.DaherCF,Abou-KhalilJ,BaroodyGM: Effectofacuteandchronic grapefruit,orange,andpineapplejuiceintakeonbloodlipidprofilein normolipidemicrat. MedSciMonit 2005, 11: BR465 472. 22.GorinsteinS,LeontowiczH,LeontowiczM,KrzeminskiR,GralakM,MartinBellosoO,Delgado-LiconE,HaruenkitR,KatrichE,ParkYS,JungST, TrakhtenbergS: FreshIsraeliJaffablond(Shamouti)orangeandIsraeli JaffaredStarRuby(Sunrise)grapefruitjuicesaffectplasmalipid metabolismandantioxidantcapacityinratsfedaddedcholesterol. JAgricFoodChem 2004, 52: 4853 4859. 23.KurowskaEM,SpenceJD,JordanJ,WetmoreS,FreemanDJ,PichLA, etal : HDL-cholesterol-raisingeffectoforangejuiceinsubjectswith hypercholesterolemia. AmJClinNutr 2000,72: 1095 1100. 24.CesarTB,AptekmannNP,AraujoMP,VinagreCC,MaranhaoRC: Orange juicedecreaseslow-densitylipoproteincholesterolin hypercholesterolemicsubjectsandimproveslipidtransfertohighdensitylipoproteininnormalandhypercholesterolemicsubjects. Nutr Res 2010, 30: 689 694. 25.AptekmannNP,CesarTB: Orangejuiceimprovedlipidprofileandblood lactateofoverweightmiddle-agedwomensubjectedtoaerobictraining. Maturitas 2010, 67: 343 347. 26.RozaJM,Xian-LiuZ,GuthrieN: Effectofcitrusflavonoidsandtocotrienols onserumcholesterollevelsinhypercholesterolemicsubjects. AlternTher HealthMed 2007, 13: 44 48. 27.GhanimH,SiaCL,UpadhyayM,KorzeniewskiK,ViswanathanP,AbuayshehS, etal : Orangejuiceneutralizesthepro-inflammatoryeffectofahigh-fat, high-carbohydratemealandpreventsendotoxinincreaseandToll-like receptorexpression. AmJClinNutr 2010, 91: 940 949. 28.Sanchez-MorenoC,CanoMP,deAncosB,PlazaL,OlmedillaB,GranadoF, MartinA: EffectoforangejuiceintakeonvitaminCconcentrationsand biomarkersofantioxidantstatusinhumans. AmJClinNutr 2003, 78: 454 460. 29.Sanchez-MorenoC,CanobMP,deAncosbB,PlazabL,OlmedillacB, GranadocF,Elez-MartinezP,Martin-BellosodM,MartinaA: Pulsedelectric fields processedorangejuiceconsumptionincreasesplasmavitaminC anddecreasesF2-isoprostanesinhealthyhumans. NutrBiochem 2004, 15: 601 607. 30.MorandC,DubrayC,MilenkovicD,LiogerD,MartinJF,ScalbertA, etal : Hesperidincontributestothevascularprotectiveeffectsoforangejuice: arandomizedcrossoverstudyinhealthyvolunteers. AmJClinNutr 2011, 93: 73 80. 31.NationalHealthandNutritionExaminationSurvey: 2003-2004Data Documentation,Codebook,andFrequencies.DemographicVariablesand SampleWeights(DEMO_C) .Lastrevised,September,2009.[http://www.cdc. gov/nchs/nhanes/nhanes2003-2004/DEMO_C.htm.]AccessedJune21,2011. 32.NationalHealthandNutritionExaminationSurvey: 2003-2004Data documentation,codebook,andfrequencies.Lphysicalactivitymonitor (PAXRAW_C) .Lastrevised,December,2007.[http://www.cdc.gov/nchs/ nhanes/nhanes2003-2004/PAXRAW_C.htm.]AccessedJune21,2011. 33.NHANES: Ismysurveyinformationconfidential?December,2007 ;http://www. cdc.gov/nhanes/pQuestions.htm#.AccessedDecember18,2009. 34.MoshfeghAJ,RhodesDG,BaerDJ,MurayiT,ClemensJC,RumplerWV, etal : TheUSdepartmentofagricultureautomatedmultiple-passmethod reducesbiasinthecollectionofenergyintakes. AmJClinNutr 2008, 88: 324 332. 35.BlantonCA,MoshfeghAJ,BaerDJ,KretschMJ: TheUSDAautomated multiple-passmethodaccuratelyestimatesgrouptotalenergyand nutrientintake. JNutr 2006, 136: 2594 2599. 36.NationalCenterforHealthStatistics: TheNHANES2002MECin-persondietary interviewersproceduresmanual .http://www.cdc.gov/nchs/data/nhanes/ nhanes_01_02/dietary_year_3.pdf.AccessedJune21,2011. 37.USFoodandDrugAdministration: 4.Nameoffood.Guidancefor industry:afoodlabelingguide .http://www.fda.gov/Food/ GuidanceComplianceRegulatoryI nformation/GuidanceDocuments/ FoodLabelingNutrition/FoodLabelingGuide/ucm064872.htm.Accessed January20,2011.O Neil etal.NutritionJournal 2012, 11 :107 Page9of10 http://www.nutritionj.com/content/11/1/107 PAGE 10 38.U.S.DepartmentofAgriculture,AgriculturalResearchService: TheUSDAfood andnutrientdatabasefordietarystudies,2.0 Documentationanduserguide, 2006 .http://www.ars.usda.gov/SP2UserFiles/Place/12355000/pdf/fndds2_doc. pdf#title.AccessedJune21,2011. 39.U.S.DepartmentofAgriculture,AgriculturalResearchService: TheUSDAfood andnutrientdatabasefordietarystudies,3.0 Documentationanduserguide ; 2008.http://www.ars.usda.gov/SP2UserFiles/Place/12355000/pdf/fndds/ fndds3_doc.pdf.AccessedJune21,2011. 40.GuentherPM,ReedyJ,Krebs-SmithSM,ReeveBB,BasiotisPP: Development andevaluationofthehealthyeatingindex-2005:technicalreport.Centerfor nutritionpolicyandpromotion,U.S.Departmentofagriculture ;2007.http:// www.cnpp.usda.gov/HealthyEatingIndex.htm.AccessedJune21,2011. 41.U.S.DepartmentofAgriculture,CenterforNutritionPolicyandPromotion: HEI2005_NHANES0102.txt .http://www.cnpp.usda.gov/HealthyEatingIndex2005report.htm.AccessedJune21,2011. 42.NationalCenterforHealthStatistics: TheNHANESAnthropometryProcedures Manual.Revised ;2004.http://www.cdc.gov/nchs/data/nhanes/ nhanes_03_04/BM.pdf.AccessedJune21,2011. 43.NationalInstitutesofHealth: Nationalheart,lung,andbloodinstitute.Clinical guidelinesontheidentification,evaluation,andtreatmentofoverweightand obesityinadults .http://www.nhlbi.nih.gov/guidelines/obesity/ob_gdlns.pdf. AccessedJanuary26,2012. 44.NationalCenterforHealthStatistics: NHANES2001-2002datarelease;May 2004.MECexamination.BloodpressuresectionofthePhysician sexamination http://www.cdc.gov/nchs/data/nhanes/nhanes_01_02/bpx_b_doc.pdf. AccessedJune21,2011. 45.NationalHealthandNutritionExaminationSurvey: 2003-2004Data documentation,codebook,andfrequencies.TotalcholesterolandHDL.Last revisedApril ;2010.http://www.cdc.gov/nchs/nhanes/nhanes2003-2004/ l13_c.htm.AccessedJune21,2011. 46.NationalCenterforHealthStatistics: NHANESdocumentation,codebook,and frequencies:surveyyears2003-2004.MEClaboratorycomponent:triglycerides andLDL-cholesterol ;http://www.cdc.gov/nchs/data/nhanes/nhanes_03_04/ l13am_c.pdf.AccessedJune12,2010. 47.NationalCenterforHealthStatistics: NHANESdocumentation,codebook,and frequencies:surveyyears2003-2004.MEClaboratorycomponent:plasma glucose,serumC-peptide,andinsulin ;http://www.cdc.gov/nchs/data/nhanes/ nhanes_03_04/l10am_c.pdf.AccessedJune12,2010. 48.NationalCholesterolEducationProgram: Nationalheart,lung,andblood institute.Nationalinstitutesofhealth.Detection,evaluation,andtreatmentof highbloodcholesterolinadults(adulttreatmentpanelIII) ;2002.NIH PublicationNo.02-5215. 49.UsualDietaryIntakes: SASmacrosforanalysisofasingledietarycomponent http://riskfactor.cancer.gov/diet/usualintakes/macros_single.html.Accessed June12,2010. 50.InstituteofMedicine.FoodandNutritionBoard: Dietaryreferenceintakes: applicationsindietaryassessment .WashingtonDC:NationalAcademy Press;2000. 51.NationalCenterforHealthStatistics: NHANESdocumentation,codebook,and frequencies:surveyyears2003-2004.Physicalactivity .http://www.cdc.gov/ nchs/nhanes/nhanes2005-2006/PAQ_D.htm.AccessedAugust29,2011. 52.O'NeilCE,NicklasTA,RampersaudGC,FulgoniVL3rd: Onehundred percentorangejuiceconsumptionisassociatedwithbetterdietquality, improvednutrientadequacy,andnoincreasedriskforoverweight/ obesityinchildren. NutrRes 2011, 31: 673 682. 53.AmericanAcademyofPediatrics: CommitteeonNutrition.Theuseand misuseoffruitjuiceinpediatrics. Pediatrics 2001, 107: 1210 1213. 54.USdepartmentofagriculture,2005dietaryguidelinesadvisorycommittee report(2004)fruitandfruitjuiceanalysis .http://www.health.gov/ dietaryguidelines/dga2005/report/HTML/G2_Analyses.htm#fruitjuice. AccessedSeptember30,2010. 55. Produceforbetterhealth .http://www.fruitsandveggiesmorematters.org. AccessedMay292010. 56.CentersforDiseaseControlandPrevention(CDC): State-specifictrends infruitandvegetableconsumptionamongadults UnitedStates, 2000-2009. MMWRMorbMortalWklyRep 2010, 59: 1125 1130. 57.Melgar-QuinonezHR,KaiserLL: Relationshipofchild-feedingpracticesto overweightinlow-incomeMexican-Americanpreschool-agedchildren. JAmDietAssoc 2004, 104: 1110 1119. 58.AlexyU,Sichert-HellertW,KerstingM,ManzF,SchochG: Fruitjuice consumptionandtheprevalenceofobesityandshortstatureinGerman preschoolchildren:resultsoftheDONALD(DortmundNutritionaland AnthropometricalLongitudinallyDesignedStudy). PediatGastroenterol Nutr 1999, 29: 343 349. 59.SkinnerJD,CarruthBR,MoranJ3rd,HouckK,ColettaF: Fruitjuiceintakeis notrelatedtochildren'sgrowth. Pediatrics 1999, 103: 58 64. 60.SkinnerJD,CarruthBR: Alongitudinalstudyofchildren'sjuiceintakeand growth:thejuicecontroversyrevisited. AmDietAssoc 2001, 101: 432 437. 61.O'ConnorTM,YangSJ,NicklasTA: Beverageintakeamongpreschool childrenanditseffectonweightstatus. Pediatrics 2006, 118: e1010 8. 62.NewbyPK,PetersonKE,BerkeyCS,LeppertJ,WillettWC,ColditzGA: Beverageconsumptionisnotassociatedwithchangesinweightand bodymassindexamonglow-incomepreschoolchildreninNorth Dakota. JAmDietAssoc 2004, 104: 1086 1094. 63.BokSH,LeeSH,ParkYB,BaeKH,SonKH,JeongTS, etal : Plasmaand hepaticcholesterolandhepaticactivitiesof3-hydroxy-3-methylglutarylCoAreductaseandacylCoA:cholesteroltransferasearelowerinratsfed citruspeelextractoramixtureofcitrusbioflavonoids. JNutr 1999, 129: 1182 1185. 64.JungUJ,LeeMK,ParkYB,KangMA,ChoiMS: Effectofcitrusflavonoidson lipidmetabolismandglucose-regulatingenzymenRNAlevelsintype-2 diabeticmice. IntJBiochemCellBiol 2006, 38: 1134 1145. 65.KurowskaEM,HasegawaS,MannersGD: RegulationofapoBproduction inHepG2cellsbycitruslimonoids. InCitruslimonoids:functionalchemicals inagricultureandfoods .EditedbyBerhowEM,HasegawaS,MannersGD. Washington,DC:AmericanChemicalSociety;2000:175 84.ACSSymposium Series758. 66.TanasescuM,FerrisAM,HimmelgreenDA,RodriguezN,Perez-EscamillaR: BiobehavioralfactorsareassociatedwithobesityinPuertoRican children. JNutr 2000, 130: 1734 1742. 67.SanigorskiAM,BellAC,SwinburnBA: Associationofkeyfoodsand beverageswithobesityinAustralianschoolchildren. PublicHealthNutr 2007, 10: 152 157. 68.PaynterNP,YehHC,VoutilainenS,SchmidtMI,HeissG,FolsomAR,BrancatiFL, KaoWH: Coffeeandsweetenedbeverageconsumptionandtheriskoftype 2diabetesmellitus:theatherosclerosisriskincommunitiesstudy. AmJ Epidemiol 2006, 164: 1075 1084. 69.OdegaardAO,KohWP,ArakawaK,YuMC,PereiraMA: Softdrinkandjuice consumptionandriskofphysician-diagnosedincidenttype2diabetes: theSingaporeChineseHealthStudy. AmJEpidemiol 2010, 171: 701 708.doi:10.1186/1475-2891-11-107 Citethisarticleas: O Neil etal. : 100%Orangejuiceconsumptionis associatedwithbetterdietquality,improvednutrientadequacy, decreasedriskforobesity,andimprovedbiomarkersofhealthinadults: NationalHealthandNutritionExaminationSurvey,2003-2006. Nutrition Journal 2012 11 :107. Submit your next manuscript to BioMed Central and take full advantage of: Convenient online submission Thorough peer review No space constraints or color gure charges Immediate publication on acceptance Inclusion in PubMed, CAS, Scopus and Google Scholar Research which is freely available for redistribution Submit your manuscript at www.biomedcentral.com/submit O Neil etal.NutritionJournal 2012, 11 :107 Page10of10 http://www.nutritionj.com/content/11/1/107 !DOCTYPE art SYSTEM 'http:www.biomedcentral.comxmlarticle.dtd' ui 1475-2891-11-107 ji 1475-2891 fm dochead Research bibl title p 100% Orange juice consumption is associated with better diet quality, improved nutrient adequacy, decreased risk for obesity, and improved biomarkers of health in adults: National Health and Nutrition Examination Survey, 2003-2006 aug au id A1 ca yes snm O’Neilmi Efnm Carolinsr iid I1 email coneil1@lsu.edu A2 NicklasATheresaI2 tnicklas@bcm.edu A3 RampersaudCGailI3 gcr@ufl.edu A4 Fulgoni IIILVictorI4 VIC3RD@aol.com insg ins Louisiana State University Agricultural Center, 261 Knapp Hall, Baton Rouge, Louisiana, 70803, USA USDA/ARS Children’s Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, Texas, 77030, USA Food Science and Human Nutrition Department, University of Florida, Gainesville, Florida, 32611, USA Nutrition Impact, LLC, Battle Creek, Michigan, 49014, USA source Nutrition Journal issn 1475-2891 pubdate 2012 volume 11 issue 1 fpage 107 url http://www.nutritionj.com/content/11/1/107 xrefbib pubidlist pubid idtype doi 10.1186/1475-2891-11-107pmpid 23234248 history rec date day 9month 3year 2012acc 30112012pub 12122012 cpyrt 2012collab O'Neil et al.; licensee BioMed Central Ltd.note This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. kwdg kwd Orange juice consumption 100% fruit juice consumption Diet quality Nutrients Nutrient adequacy Adults Weight Obesity Metabolic syndrome NHANES abs sec st Abstract Background Consumption of 100% orange juice (OJ) has been positively associated with nutrient adequacy and diet quality, with no increased risk of overweight/obesity in children; however, no one has examined these factors in adults. The purpose of this study was to examine the association of 100% OJ consumption with nutrient adequacy, diet quality, and risk factors for metabolic syndrome (MetS) in a nationally representative sample of adults. Methods Data from adults 19+ years of age (n = 8,861) participating in the National Health and Nutrition Examination Survey 2003-2006 were used. The National Cancer Institute method was used to estimate the usual intake (UI) of 100% OJ consumption, selected nutrients, and food groups. Percentages of the population below the Estimated Average Requirement (EAR) or above the Adequate Intake (AI) were determined. Diet quality was measured by the Healthy Eating Index-2005 (HEI-2005). Covariate adjusted logistic regression was used to determine if consumers had a lower odds ratio of being overweight or obese or having risk factors of MetS or MetS. Results Usual it per capita intake of 100% OJ was 50.3 ml/d. Among consumers (n = 2,310; 23.8%), UI was 210.0 ml/d. Compared to non-consumers, consumers had a higher (p < 0.05) percentage (% ± SE) of the population meeting the EAR for vitamin A (39.7 ± 2.5 vs 54.0 ± 1.2), vitamin C (0.0 ± 0.0 vs 59.0 ± 1.4), folate (5.8 ± 0.7 vs 15.1 ± 0.9), and magnesium (51.6 ± 1.6 vs 63.7 ± 1.2). Consumers were also more likely to be above the AI for potassium (4.1 ± 0.8 vs 1.8 ± 0.2). HEI-2005 was significantly (p < 0.05) higher in consumers (55.0 ± 0.4 vs 49.7 ± 0.3). Consumers also had higher intakes of total fruit, fruit juice, whole fruit, and whole grain. Consumers had a lower (p < 0.05) mean body mass index (27.6 ± 0.2 vs 28.5 ± 0.1), total cholesterol levels (197.6 ± 1.2 vs 200.8 ± 0.75 mg/dL), and low density lipoprotein-cholesterol levels (112.5 ± 1.4 vs 116.7 ± 0.93 mg/dL). Finally, compared to non-consumers of 100% OJ, consumers were 21% less likely to be obese and male consumers were 36% less likely to have MetS. Conclusion The results suggest that moderate consumption of 100% OJ should be encouraged to help individuals meet the USDA daily recommendation for fruit intake and as a component of a healthy diet. bdy Background Consumption of 100% fruit juice (FJ) has been associated with higher intakes of key nutrients, including vitamins C and B-6, folate, thiamin, magnesium, and potassium, as well as better diet quality, and increased intake of total and whole fruit consumption in children abbrgrp abbr bid B1 1 B2 2 B3 3 B4 4 and adults 3 as compared to those that do not consume 100% FJ. There have been concerns about overweight/obesity in consumers of 100% FJ, especially children B5 5 B6 6 B7 7 . Most studies have been conducted in children and have not shown a relationship between 100% FJ consumption and weight B8 8 . Cross-sectional studies that have been conducted in adults have shown that consumption of 100% FJ has been inversely associated with body mass index (BMI) B9 9 B10 10 and obesity 10 ; however, the longitudinal Nurses’ Health Study II showed that 100% FJ consumption was positively associated with weight gain B11 11 . The relationship between consumption of 100% FJ and other markers of disease among adults is inconsistent. Pereira and Fulgoni 10 , using data from the National Health and Nutrition Examination Survey (NHANES) 1999-2004 and Yoo et al. B12 12 using data from the Bogalusa Heart Study, showed no association of risk of metabolic syndrome (MetS) among 100% FJ consumers; another study showed that, in middle aged and older adults, fasting glucose, but not fasting insulin B13 13 was lower in 100% FJ consumers. In different studies, diabetes risk was shown to be associated with 100% FJ consumption B14 14 or not 11 . Data from the CARDIA study have shown an association of a reduced risk of hypertension with 100% FJ consumption B15 15 . Since data on the effects of consumption of 100% OJ on adult health are conflicting, further studies are needed. Few studies have examined the effect of specific fruit juices on diet and health. Orange juice (OJ) is the most popular 100% FJ consumed in the US. In 2009, per capita availability of OJ was 14.84 liters B16 16 . Orange juice is also one of the most nutrient dense 100% FJ, regardless of type of density measures used in the evaluation B17 17 . Two hundred and thirty seven ml of 100% OJ provides 469 kilojoules (kJ) (112 kcal), 21 g total sugars, 124 mg vitamin C, 27 mg magnesium, 0.10 mg vitamin B-6, 74 μg Dietary Folate Equivalents, 496 mg potassium, and only 0.06 g saturated fatty acids (SFA) and 2.48 mg sodium B18 18 . Some brands of commercially available 100% OJ are fortified with fiber, calcium, or vitamin D; these have been identified as nutrients of public health concern in the 2010 Dietary Guidelines for Americans B19 19 . In vitro B20 20 and animal studies B21 21 B22 22 have suggested that citrus juices or components of these juices, including the flavanones hesperidin and naringin (or their aglycone forms hesperetin and naringenin), may have beneficial effects on blood lipids. Clinical studies conducted in adults have shown that consumption of 100% OJ has been associated with health benefits including positive effects on blood lipids B23 23 B24 24 B25 25 B26 26 —especially in hypercholesterolemic individuals, lower levels of several oxidative or inflammatory stress biomarkers B27 27 B28 28 B29 29 , and lower blood pressure B30 30 . Epidemiologic studies, using a nationally representative sample, looking at the association between consumption of 100% OJ and health markers are lacking. The objective of this study was to examine the association of 100% OJ usual intakes (UI) on select nutrients, food group equivalents, diet quality, weight parameters, and risk factors associated with cardiovascular disease and metabolic syndrome in adults. Methods Study population Data from adults 19+ yrs (n = 8,861) participating in the NHANES 2003-2006 were combined for these analyses to increase the sample size. Females were excluded from the study if they were pregnant or lactating. Demographic information B31 31 and physical activity levels B32 32 were determined from the NHANES interview. NHANES has stringent consent protocols and procedures to ensure confidentiality and protection from identification B33 33 . Since this was a secondary data analysis with a lack of personal identifiers, this study was exempted by the Louisiana State University Agricultural Center Institutional Review Board. Determination of dietary intake data Dietary data were collected using two 24-hour dietary recalls using an automated multiple-pass method B34 34 B35 35 ; the first recall was conducted in person by a trained interviewer and the second recall was conducted 3-10 days later via telephone. Only recall data judged to be complete and reliable by the National Center for Health Statistics staff were included in this study. Detailed descriptions of the dietary recalls and data collection are available in the NHANES Dietary Interviewer’s Training Manual B36 36 . In this study, 100% OJ was defined using the United States Food and Drug Administration definition B37 37 for 100% FJ; that is the product contained 100% FJ—in this case, OJ. This includes 100% FJ made from concentrate and 100% FJ with added nutrients, such as calcium or vitamin D; but does not include juice drinks or other products that contain less than 100% fruit juice. Individual food codes in NHANES 2003-2004 and 2005-2006 were used to determine intake of 100% OJ. Consumers of 100% OJ were defined as those participants consuming any amount of 100% OJ on either day of the 24-hour recalls. To determine nutrient intake, the USDA Food and Nutrient Database for Dietary Studies, versions 2 B38 38 and 3 B39 39 were used for NHANES, 2003-2004 and 2005-2006, respectively. Nutrients examined included macronutrients, dietary fiber, and sodium and also those micronutrients likely to be provided by 100% OJ: vitamins A, C, and B6; folate; magnesium; and potassium. Intake from supplements was not considered. Food group equivalent intakes and healthy eating index (HEI-2005) Food group equivalent intakes (formerly called MyPyramid equivalents) were determined using MyPyramid Equivalents Database 2.0; when necessary, intakes for NHANES 2005-2006 were hand matched to similar foods. The HEI-2005 was used to determine diet quality B40 40 . The SAS code used to calculate HEI-2005 scores was downloaded from the Center for Nutrition Policy and Promotion website B41 41 . Physiological measures Height, weight, and waist circumference (WC) were obtained according to NHANES protocols B42 42 . Body mass index was calculated as body weight (kilograms) divided by height (meters) squared B43 43 . For the odds ratio (OR) assessments, overweight/obesity and high waist circumference were determined using the National Heart Lung and Blood Institute (NHLBI) Clinical Guidelines 43 . Systolic (SBP) and diastolic blood pressures (DBP) were determined using the standard NHANES protocol B44 44 and the mean of all values measured was used. Total cholesterol and high density lipoprotein cholesterol (HDL-C) were determined on non-fasted individuals B45 45 while low density lipoprotein cholesterol (LDL-C) (46), triacylglycerides B46 46 , blood glucose B47 47 , and insulin 47 were determined on only fasted subjects. Per these protocols, not all individuals may have values for all tests (see tables for sample numbers). Metabolic syndrome was defined using the NHLBI Adult Treatment Panel III criteria B48 48 ; that is having 3 or more of the following risk factors: abdominal obesity, WC >102 cm (males), >88 cm (females); hypertension, SBP ≥130 mmHg or DBP ≥85 mmHg or taking anti-hypertensive medications; HDL-C, <40 mg/dL (males), <50 mg/dL (females); high triacylglycerides, ≥150 mg/dL or taking anti-hyperlipidemic medications; high fasting glucose, ≥110 mg/dL or taking insulin or other hypoglycemic agents. Statistical analyses Sampling weights and the sampling units and strata information, as provided by NHANES, were included in all analyses using SUDAAN v10.0 (Research Triangle Institute; Raleigh, NC). Usual intakes were determined using SAS v 9.2 (SAS Institute, Cary, NC). Usual intake determinations represent long term average daily intakes and are determined by removing excessive intra-person variation in intakes; these are the best estimates to compare to dietary recommendations as suggested intakes are to be met over time, rather than measured on a single day. Usual intake of 100% OJ consumption and selected nutrients was calculated using the National Cancer Institute (NCI) method B49 49 . For UI of 100% OJ, which is consumed episodically, the two part NCI model (probability and amount) was used; for nutrients which are consumed daily by most people, the one part model was used. The NCI SAS macros (Mixtran v1.1 and Distrib v1.1) were used to generate parameter effects after covariate adjustments and to estimate the distribution of usual intake via Monte Carlo simulation methods, respectively 49 . Covariates in this study were day of the week of the 24-hr recall [coded as weekend (Friday-Sunday) or weekday (Monday-Thursday)] and sequence of dietary recall (first or second). Software provided by NCI was used with the two days of intake using one-day sampling weights to obtain appropriate variance estimates. Balanced repeated replication (BRR) was performed to obtain standard errors (SE) and confidence intervals (CI) for the percentiles; BRR weights were constructed with Fay adjustment factor M = 0.3 (perturbation factor 0.7) and further adjusted to match the initial sample weight totals within specific age/gender/ethnicity groupings for the full dataset. The Dietary Reference Intake (DRI) age groups were used to present UI for each of the nutrients studied. To assess the extent of inadequate intake of vitamins A and C, folate, and magnesium, the Estimated Average Requirements (EAR) cut-point method proposed by the Institute of Medicine B50 50 was used. The EAR is the appropriate DRI to use when assessing the adequacy of group intakes 50 . The EAR cut-point method provides an estimate of the proportion of individuals in the group with inadequate intakes by age and gender. For nutrients without an EAR, i.e. sodium and potassium, the percent above the Adequate Intake (AI) was determined. To determine if there were significant differences (p < 0.05) for the percentage of 100% OJ consumers vs non-consumers with intakes less than the EAR or above the AI a Z-statistic for differences in population proportions was used. Linear regression was used to determine differences in 100% OJ consumers and non-consumers for physiological measures. Logistic regression was used to determine if 100% OJ consumers had a lower OR of being overweight or obese or had other health risk factors. Covariates for linear and logistic regression included energy (kcals), age, gender, ethnicity, poverty index ratio, and physical activity for body weight and BMI; for other physiological measures BMI was also added as a covariate. Physical activity was determined from physical activity questionnaires and separated subjects into three categories: sedentary, moderate activity, and vigorous activity B51 51 . Results Usual intake of orange juice The sample consisted of adults 19 years of age and older (n = 8,861) of which 2,310 (23.8%) consumed 100% OJ. Per capita consumption was 50.3 ± 1.8 ml/day, whereas among consumers, consumption was 210.0 ± 3.8 ml/day. Per capita consumption and consumption among consumers was higher in males (p < 0.05) than in females. The 75sup th percentile among consumers was 259.3 ± 6.8 ml/day (Table tblr tid T1 1). table Table 1 caption b Usual intake of orange juice (ml/d) in the total population and consumers tgroup align left cols 7 colspec colname c1 colnum 1 colwidth 1* center c2 2 c3 3 c4 4 c5 5 c6 6 c7 thead valign top row rowsep entry morerows nameend namest Total population Consumers only Percentiles of intake among consumers N = 8,861 n = 2,310 tfoot Data source: Adults 19+ years of age participating in NHANES 2003-2006 with consumers defined as orange juice consumption on either of two days of intake assessment. Means with different letters indicate a significant difference between genders p < 0.05. 1 ml = 0.0338 US fluid oz. tbody Gender Mean ± SE Pct. Mean ± SE 25th ± SE 50th ± SE 75th ± SE Combined 50.3 ± 1.8 23.8 210.0 ± 3.8 109.4 ± 3.0 468.6 ± 4.7 259.3 ± 6.8 Male 59.2 ± 2.7a 24.5 235.6 ± 5.3a 118.3 ± 4.1 192.2 ± 2.0 286.9 ± 8.3 Female 41.4 ± 2.1b 23.1 177.4 ± 5.0b 94.6 ± 3.8 147.9 ± 7.4 227.7 ± 7.7 Usual intake of macronutrients, and selected micronutrients The UI of carbohydrates, total sugars, and dietary fiber was higher (p < 0.05) in consumers than in non-consumers (Table T2 2). Table T3 3 shows that in 100% OJ consumers, the UI of vitamins A, B6, and C; folate; and magnesium was higher (p < 0.05) than non-consumers, and consumers were less likely to be below the EAR than non consumers (p < 0.05) (Table 3). Those consuming 100% OJ had a usual mean intake of vitamin A of 660 ± 15 Retinol Activity Equivalents (RAE) μg/d compared with 580 ± 8 RAE μg/d; approximately 40% of those consuming 100% OJ were below the EAR for vitamin A, compared with 54% of non-consumers (both p < 0.05). Orange juice consumers had a usual mean intake of folate of 606 ± 10 Dietary Folate Equivalents (DFE) μg/d compared with 521 ± 6 DFE μg/d; approximately 6% of 100% OJ consumers were below the EAR, compared with 15% for non-consumers (both p < 0.05). Adults consuming 100% OJ had a mean usual intake of vitamin C of 146 ± 2.4 mg/d compared with approximately 67 ± 1.3 mg/d for non-consumers. On average, 100% OJ consumers were not below the EAR, compared with 59% of non-consumers (p < 0.05). Adults that consumed 100% OJ had higher usual mean intake of 313 ± 4 mg/d magnesium compared with 283 ± 3 mg/d for non-consumers. Approximately 64% of adults that consumed 100% OJ were below the EAR, compared with 52% for non-consumers (both p < 0.05). The usual mean intake of potassium of 100% OJ consumers was 3026 ± 36 mg/d, compared with 2623 ± 22 mg/d for non-consumers; approximately 4% of 100% OJ consumers were above the AI, compared with only 2% of non-consumers (p < 0.05). Table 2 Energy and macronutrient usual intakes among consumers and non-consumers of orange juice Usual intake Percentile Data source: Adults 19+ years of age participating in NHANES 2003-2006 with consumers defined as orange juice consumption on either of two days of intake assessment. n: 2,310 OJ consumers and 6,551 non-consumers. Means with different letters are significantly different, p < 0.05. Group Mean ± SE 10 25 50 75 90 Energy, Kcal/d Consumer 2248 ± 33 1400 1702 2126 2684 3569 Non-Consumer 2185 ± 15 1339 1656 2087 2622 3170 Protein, g/d Consumer 84.9 ± 1.3 52.2 62.5 79.8 102.0 125.3 Non-Consumer 83.4 ± 0.7 50.4 62.8 80.0 100.6 121.4 Carbohydrates, g/d Consumer 279 ± 4a 178 214 265 330 402 Non-Consumer 260 ± 2b 155 194 248 314 384 Total sugars, g/d Consumer 133 ± 2.3a 77.4 96.9 124 160 201 Non-Consumer 119 ± 1.3b 57.2 79.0 110 149 192 Dietary fiber, g/d Consumer 16.6 ± 0.3a 9.6 12.2 15.8 20.1 24.7 Non-Consumer 15.3 ± 0.3b 8.6 11.1 14.5 18.5 22.9 Total fat, g/d Consumer 83.1 ± 1.4 47.7 60.8 78.7 101.2 124.6 Non-Consumer 83.7 ± 0.7 47.6 61.3 79.9 102.1 125.1 Saturated fatty acids, g/d Consumer 27.4 ± 0.6 15.2 19.6 25.8 33.4 41.6 Non-Consumer 27.8 ± 0.3 15.0 19.7 26.3 34.3 42.8 Table 3 Selected micronutrient usual intakes among consumers and non-consumers of orange juice and comparison to Estimated Average Requirements (EAR) or Adequate Intake (AI) 8 c8 Usual intake Percentile EAR Group Mean ± SE 10 25 50 75 90 % Below ± SE Data source: Adults 19+ years of age participating in NHANES 2003-2006 with consumers defined as orange juice consumption on either of two days of intake assessment. n: 2,310 OJ consumers and 6,551 non-consumers. Means with different letters are significantly different, p < 0.05. Vitamin A, RAE ug/d Consumer 660 ± 15a 364 471 618 802 1009 39.7 ± 2.5a Non-Consumer 580 ± 8b 265 373 529 730 960 54.0 ± 1.2b Vitamin B-6, mg/d Consumer 2.1 ± 0.0a 1.3 1.6 2.0 2.6 3.2 9.5 ± 1.0a Non-Consumer 1.9 ± 0.0b 1.1 1.4 1.8 2.3 2.9 16.7 ± 1.4b Folate, DFE ug/d Consumer 606 ± 10a 358 451 578 730 890 5.8 ± 0.7a Non-Consumer 521 ± 6b 288 371 487 634 796 15.1 ± 0.9b Vitamin C, mg/d Consumer 146 ± 2.4a 110 125 148 167 178 0.0 ± 0.0a Non-Consumer 66.6 ± 1.3b 26.1 38.9 58.5 85.4 117.1 59.0 ± 1.4b Magnesium, mg/d Consumer 313 ± 4a 193 238 296 372 449 51.6 ± 1.6a Non-Consumer 283 ± 3b 170 213 270 339 411 63.7 ± 1.2b Usual Intake Percentile AI Group Mean ± SE 10 25 50 75 90 % Above ± SE Sodium, mg/d Consumer 3483 ± 53 2066 2604 3338 4213 5107 98.4 ± 0.3 Non-Consumer 3501 ± 29 2137 2654 3351 4194 5074 98.8 ± 0.2 Potassium, mg/d Consumer 3026 ± 36a 1978 2396 2939 3564 4195 4.1 ± 0.8a Non-Consumer 2623 ± 22b 1610 2009 2532 3140 3756 1.8 ± 0.2b Diet quality and food group equivalents usual intake Diet quality, as measured by HEI-2005, was significantly higher (p < 0.05) in consumers than in non-consumers (55.0 ± 0.4 vs 49.7 ± 0.3) (Table T4 4). Total fruit (1.8 ± 0.05 vs 0.7 ± 0.02 cup equivalents/d), fruit from juice (1.1 ± 0.03 vs 0.2 ± 0.01 cup equivalents/d) and whole fruit (0.7 ± 0.03 vs 0.5 ± 0.02 cup equivalents/d) were all higher for consumers as compared to non-consumers. In addition, whole grain consumption was higher (p < 0.05) in consumers (0.8 ± 0.03 ounce equivalents) than in non-consumers (0.6 ± 0.02 ounce equivalents). Table 4 Diet quality, as measured by healthy eating index and select usual intakes of MyPyramid food components among consumers and non-consumers of orange juice Usual intake Percentile Group Mean ± SE 10 25 50 75 90 Data source: Adults 19 + years of age participating in NHANES 2003-2006 with consumers defined as orange juice consumption on either of two days of intake assessment. n: 2,310 OJ consumers and 6,551 non-consumers. Means with different letters are significantly different, p < 0.05. Healthy Eating Index, score Consumer 55.0 ± 0.4a 44.5 49.3 54.9 60.6 65.7 Non-Consumer 49.7 ± 0.3b 38.4 43.5 49.4 55.6 61.4 Total dairy, cup equivalents Consumer 1.6 ± 0.05 0.6 0.9 1.4 2.1 2.9 Non-Consumer 1.5 ± 0.002 0.5 0.8 1.3 2.0 2.8 Total fruit, cup equivalents Consumer 1.8 ± 0.05a 1.1 1.4 1.8 2.1 2.3 Non-Consumer 0.7 ± 0.02b 0.2 0.3 0.6 0.9 1.4 Fruit juice, cup equivalents Consumer 1.1 ± 0.03a 0.8 0.9 1.1 1.3 1.4 Non-Consumer 0.2 ± 0.01b 0.0 0.0 0.1 0.2 0.4 Whole fruit, cup equivalents Consumer 0.7 ± 0.03a 0.1 0.3 0.6 1.0 1.4 Non-Consumer 0.5 ± 0.02b 0.1 0.2 0.4 0.7 1.1 Total grain, ounce equivalents Consumer 7.0 ± 0.1 4.2 5.3 6.7 8.4 10.0 Non-Consumer 6.8 ± 0.1 3.8 4.9 6.4 8.3 10.3 Whole grain, ounce equivalents Consumer 0.8 ± 0.03a 0.2 0.4 0.7 1.0 1.5 Non-Consumer 0.6 ± 0.02b 0.1 0.2 0.5 0.9 1.3 Total vegetables, cup equivalents Consumer 1.7 ± 0.03 0.9 1.2 1.6 2.0 2.5 Non-Consumer 1.6 ± 0.03 0.9 1.2 1.5 2.0 2.5 Anthropometric and cardiovascular risk factors Consumers of 100% OJ had a lower mean BMI than non-consumers (27.6 ± 0.18 vs 28.5 ± 0.11 kg/m2; p = 0.0001) (Table T5 5). Adults that consumed 100% OJ also had lower total cholesterol (197.6 ± 1.2 mg/dL v 200.8 ± 0.75 mg/dL; p = 0.0220) and lower LDL-C (112.5 ± 1.4 mg/dL v 116.7 ± 0.93 mg/dL; p = 0.0110) levels than those that did not consume 100% OJ. Serum vitamin C (1.1 ± 0.01 vs 0.9 ± 0.01 mg/dL; p < 0.0001), red blood cell folate (309.3 ± 3.6 vs 285.3 ± 2 ng/ml RBC; p < 0.0001), and serum folate (14.8 ± 0.24 vs 13.7 ± 0.25 ng/ml; p = 0.0013) were higher in consumers of 100% OJ than in non-consumers (Table 5). There were no differences among consumers and non-consumers in waist circumference, SBP or DBP, C-reactive protein, HDL-cholesterol, triacyglycerides, blood glucose, insulin, or homocysteine levels. Table 5 Physiological measures among consumers and non-consumers of orange juice Consumers Non-consumers *Adjusted for energy (kcal), age, gender, ethnicity, poverty income ratio, and physical activity. **Adjusted for energy (kcal), age, gender, ethnicity, poverty income ratio, BMI, and physical activity. Abbreviations: LSM = least square mean; SE = standard error; BMI = body mass index; HDL-C = high density lipoprotein-cholesterol; LDL-C = low-density lipoprotein-cholesterol; RBC = red blood cell. Variable n LSM ± SE n LSM ± SE p-Value Body Weight* (kg) 2130 81.3 ± 0.20 6150 81.4 ± 0.12 0.5072 BMI* (kg/m2) 2130 27.6 ± 0.18 6150 28.5 ± 0.11 <0.0001 Waist Circumference* (cm) 2069 97.1 ± 0.17 6005 97.3 ± 0.10 0.4381 Systolic Blood Pressure (mmHg)** 1801 124.0 ± 0.53 5296 123.8 ± 0.30 0.7604 Diastolic Blood Pressure (mmHg)** 1801 70.8 ± 0.42 5296 71.3 ± 0.23 0.2976 Serum Vitamin C (mg/dL)** 2022 1.1 ± 0.01 5813 0.91 ± 0.01 <0.0001 C-Reactive Protein** (mg/dL) 2041 0.43 ± 0.03 5874 0.41 ± 0.01 0.5922 Total Cholesterol** (mg/dL) 2034 197.6 ± 1.2 5857 200.8 ± 0.75 0.0220 HDL-Cholesterol** (mg/dL) 2033 53.7 ± 0.45 5857 53.8 ± 0.24 0.8230 Triglycerides** (mg/dL) 954 141.6 ± 3.6 2833 147.4 ± 3.3 0.2246 LDL-Cholesterol** (mg/dL) 939 112.5 ± 1.4 2746 116.7 ± 0.93 0.0110 Plasma Glucose** (mg/dL) 960 103.0 ± 1.4 2856 102.4 ± 0.62 0.6853 Insulin** (uU/mL) 951 11.6 ± 0.38 2823 11.3 ± 0.25 0.4441 RBC Folate** (ng/mL RBC) 2044 309.3 ± 3.6 5872 285.3 ± 2.0 <0.0001 Serum Folate** (ng/mL) 2037 14.8 ± 0.24 5849 13.7 ± 0.25 0.0013 Homocysteine** (umol/L) 1988 8.7 ± 0.08 5729 8.9 ± 0.06 0.0853 Risk of metabolic syndrome and risk factors for metabolic syndrome Males that consumed 100% OJ showed a 36% reduced risk [OR: 0.62; 95th CI: 0.45-0.91] of MetS; no differences were observed in females (OR: 1.41 95th CI: 0.96-2.07) (Table T6 6). Male consumers of 100% OJ also showed a 23% reduced risk (OR: 0.77 95th CI: 0.61-0.99) of low HDL-C levels. Overall there was a 21% reduced risk (OR: 0.79; 95th CI: 0.65-0.95) of obesity in adults that consumed 100% OJ compared with non-consumers. Table 6 Risk of metabolic syndrome, increased risk of individual metabolic syndrome components and other health factors among adult (19+ yrs) consumers and non-consumers of orange juice 10 c9 9 c10 Risk OR ± SE LCL, UCL p-Value OR ± SE LCL, UCL p-Value OR ± SE LCL, UCL p-Value All Female Male * Reference group: Non-consumers of orange juice with odds ratio set at 1.0. All Metabolic Syndrome Components: Elevated Waist Circumference ≥102 cm in men or ≥88 cm in women; Elevated Triglycerides ≥150 mg/dL or taking medication for Elevated Triglycerides (Antihyperlipidemic Agents or Nicotinic Acid Derivatives); Reduced HDL-C <40 mg/dL in men or <50 mg/dL in women or taking medication for Reduced HDL-C (Antihyperlipidemic Agents or Nicotinic Acid Derivatives); Elevated BP ≥130 mmHg Systolic or ≥85 mmHg Diastolic or taking medication for Elevated BP (Antihypertensive Combinations); Elevated Fasting Glucose ≥100 mg/dL or taking medication for Elevated Glucose (Antidiabetic Agents); Metabolic Syndrome (≥3 risk factors above). Other risk factors: Elevated LDL-C ≥100 mg/dL; Overweight BMI ≥25 and <30; Obese BMI ≥30; Overweight or Obese BMI ≥25. Abbreviations: OR = odds Ratio; LCL = lower confidence level; UCL = upper confidence level; SE = standard error; MetS = metabolic syndrome; BP = blood pressure; TG = triglycerides; WC = waist circumference; HDL-C = high density lipoprotein-cholesterol; LDL-C = low density lipoprotein-cholesterol. MetS 0.93 ± 0.13 0.71, 1.22 0.5790 1.41 ± 0.28 0.96, 2.07 0.0795 0.64 ± 0.12 0.45,0.91 0.0119 Elevated BP 0.98 ± 0.07 0.85, 1.13 0.7586 0.98 ± 0.15 0.73, 1.31 0.8948 0.95 ± 0.12 0.75, 1.22 0.7078 High Glucose 0.96 ± 0.10 0.78, 1.18 0.6772 1.08 ± 0.17 0.79, 1.47 0.6180 0.82 ± 0.11 0.64, 1.06 0.1361 High TG 1.11 ± 0.13 0.89, 1.39 0.3575 1.41 ± 0.25 1.00, 1.99 0.0503 0.91 ± 0.11 0.72, 1.15 0.4474 Elevated WC 0.98 ± 0.15 0.73, 1.33 0.9067 1.09 ± 0.24 0.72, 1.66 0.6890 0.83 ± 0.15 0.59, 1.18 0.3052 Low HDL-C 0.92 ± 0.08 0.78, 1.09 0.3518 1.08 ± 0.11 0.89 1.31 0.4271 0.77 ± 0.10 0.61, 0.99 0.0406 Obese 0.79 ± 0.08 0.65, 0.95 0.0116 0.76 ± 0.10 0.59, 0.97 0.0289 0.79 ± 0.09 0.64, 0.97 0.0276 Overweight 1.13 ± 0.07 0.99, 1.28 0.0699 1.18 ± 0.10 0.99, 1.39 0.0581 1.07 ± 0.09 0.91, 1.26 0.3976 Overweight or Obese 0.89 ± 0.07 0.76, 1.04 0.1437 0.88 ± 0.09 0.73, 1.08 0.2216 0.85 ± 0.09 0.69, 1.06 0.1461 High LDL-C 0.82 ± 0.10 0.66, 1.03 0.0908 0.76 ± 0.12 0.57, 1.03 0.0783 0.85 ± 0.14 0.63, 1.16 0.3163 Discussion Approximately 24% of the population consumed 100% OJ on either of the days when a 24 hour recall was taken. Males consumed more 100% OJ, both as a percentage of consumers and in amount. The percent of consumers was similar to that of children B52 52 . Per capita UI consumption was 50.3 ml/d; however the UI for consumers was 210.0 ml/d. Unlike children, where there is a specific recommendation for consumption of 100% FJ B53 53 , there is no recommendation for consumption of 100% FJ by adults, other than “the majority of the fruit recommended should come from whole fruits, including fresh, canned, frozen, and dried forms, rather than from juice” 19 . The rationale for limiting 100% FJ intake is that it lacks fiber and can contribute to excess energy consumption when consumed in excess 19 . A modeling study, commissioned by the 2005 Dietary Guidelines Advisory Committee B54 54 suggested that dietary fiber was lower when whole fruit was removed from the diet, which led to the recommendation that intake of no more than one-third of fruit servings should come from 100% FJ and two-thirds should come from whole fruit. However, this study and others 1 2 3 4 52 have shown that either consumers of 100% FJ had higher intakes of dietary fiber than non-consumers or there was no difference in fiber consumption between the groups. Since 100% FJ is low in dietary fiber, it suggests that other higher fiber foods, including whole fruit, are consumed by consumers of 100% FJ; this was shown not only in this study of 100% OJ consumers, but has been shown in other studies as well 1 2 52 . As expected, 100% OJ consumers had increased intake of nutrients typically found in 100% OJ (i.e. vitamin C, folate, and potassium). Consumers were also less likely to have intakes below the EAR for vitamins A, B-6, and C; folate; and magnesium than non-consumers. The reduction in the percentage of the population with inadequate intakes of these nutrients associated with 100% OJ consumption indicates the value of consuming a nutrient dense beverage 17 . Mean potassium UI was also higher in consumers than non-consumers and the percentage of the population above the AI was higher. This is an important finding since potassium was identified as a nutrient of public health concern 19 . To our knowledge this is the first report studying the association between the consumption of 100% OJ and nutrient adequacy in adults using the recommended UI procedures. Diet quality, as measured by HEI-2005, was approximately 10% higher in 100% OJ consumers. While the increase was due in part to the increase in whole fruit and FJ consumption, consumers also had a higher UI of whole grains. Although intake of total fruit, whole fruit, and FJ was higher in 100% OJ consumers, overall intake from the fruit food groups was low. Despite extensive, coordinated public health campaigns by government, industry, and others B55 55 , fruit consumption in adults remains low B56 56 . Since a 236.6 ml serving of 100% OJ counts as part of the recommendation for the fruit group, moderate consumption of 100% OJ can help individuals meet fruit intake recommendations. The potential association of consumption of 100% FJ and weight in children has been debated in the literature for more than a decade 1 2 5 6 7 8 B57 57 B58 58 B59 59 B60 60 B61 61 B62 62 ; however, less is known about this relationship in adults. Participants in the Nurses’ Health Study II with a higher consumption of 100% FJ had a larger weight gain than those with lower fruit 100% FJ consumption, although the amounts and types of 100% FJ consumed, and specific covariates used in the analyses, were not clear 11 . Another study 9 showed that self reported BMI was lower in consumers of 100% FJ. Ours was the first study that used a nationally representative adult population that showed consumers of 100% OJ had a lower BMI than non-consumers. These findings are important since 100% OJ has the highest per capita consumption 16 among the juices and therefore has the potential to be an important component of the diet. Clinical studies that incorporated high levels of 100% OJ (750 ml 24 or 500 ml 30 ) as an intervention have reported no increases in weight or other anthropometric measures over the course of the study. Total cholesterol levels and LDL-C levels were both significantly lower in consumers of 100% OJ than non-consumers. Compounds found in 100% OJ, including hesperidin, naringin, or limonoids or their circulating aglycone forms, have been shown to lower total or LDL-C in animal models B63 63 B64 64 . It was hypothesized that these compounds may have inhibited 3-Hydroxy-3-methyl-glutaryl coenzyme A reductase and increased the expression of LDL-C receptors in the liver, a mechanism similar to statins. These compounds have also been shown to reduce the net secretion of apolipoprotein B, which in turn may help inhibit cholesterol ester synthesis 20 B65 65 . Orange juice, at higher intake amounts (750 ml) has also been shown to lower LDL-C and raise HDL-C in a randomized clinical trial of hypercholesterolemia individuals 24 . Although the present study did not look separately at individuals with hypercholesterolemia, it did show that a more realistic consumption of 100% OJ was associated with reduced total cholesterol and LDL-C levels. It is not clear why there was no difference shown between HDL-C levels between 100% OJ consumers and non-consumers, as may have been suggested by clinical trials; the response may be dose-dependent or dependent on continual consumption. There was a 23% lower risk of low HDL-C levels in males only. Consumption of 100% OJ was associated with a 21% lower risk of obesity in men and women. This was similar to the findings of Pereira and Fulgoni 10 that looked at the risk of obesity and consumption of 100% FJ in participants of NHANES 1999-2004. They also showed a significantly lower risk of metabolic syndrome, whereas this study showed a lower risk in males only. That study showed a much higher intake of 100% FJ, compared with the intake of 100% OJ only; but there were also other differences in the population, since they showed, for example that consumers were more likely to be female. Our study showed that 100% OJ consumers were more likely to be males. Consumption differences of 100% FJ in adults need to be studied further. Strengths of this study include that it encompassed a large nationally representative sample achieved through combining several sets of NHANES data releases. The study also uses the NCI method to assess UI and the percentage of the population below recommended levels in 100% OJ consumers and non-consumers, as well as adjustment for numerous covariates including physical activity. Twenty-four hour dietary recalls have several inherent limitations. Participants relied on memory to self-report dietary intakes; therefore, data were subject to non-sampling errors, including underreporting of energy and examiner effects. Respondents may not have differentiated between 100% OJ or a fruit drink/ade. Confusion over these beverages has been reflected in several studies that assessed a combined 100% FJ and juice drink or sweetened FJ category B66 66 B67 67 B68 68 B69 69 . The use of AI cannot be used to determine the prevalence of inadequate intake in a group. Rather, if the mean intake of a group is at or above the AI, and the variance of intake in the group of interest is similar to the variance of intake used in the population originally used to set the AI, the prevalence of inadequate nutrient intakes is likely to be low 50 . Finally, since causal inferences cannot be drawn from NHANES analyses, and due to multi-collinearity of diet, foods other than 100% OJ may have contributed to differences in nutrient intake of the participants. Conclusions Consumption of 100% OJ was associated with better diet quality and an increased prevalence of meeting the EAR for key nutrients and other biomarkers of positive health outcomes, including lower total cholesterol and LDL levels. Consumers of 100% OJ had lower mean BMI and a decreased risk of obesity. In addition, males had a decreased risk of metabolic syndrome. These results suggested that 100% OJ consumption should be encouraged as a component of a healthy diet to help individuals meet nutrient and fruit intake recommendations. Abbreviations AI: Adequate intake; BMI: Body mass index; BRR: Balanced repeated replication; CI: Confidence interval; DBP: Diastolic blood pressure; DFE: Dietary folate equivalents; DRI: Dietary reference intake; EAR: Estimated average requirements; FJ: 100% Fruit juice; HDL-C: High density lipoprotein-cholesterol; HEI-2005: Healthy eating index-2005; LDL-C: Low density lipoprotein-cholesterol; MetS: Metabolic syndrome; NHANES: National health and Nutrition examination survey; NHLBI: National heart, lung, and blood institute; OJ: 100% Orange juice; OR: Odds ratio; RAE: Retinol activity equivalents; SBP: Systolic blood pressure; SFA: Saturated fatty acids; UI: Usual intake; WC: Waist circumference. Competing interests Gail Rampersaud’s position at the University of Florida is co-funded by the Florida Department of Citrus. None of the other authors declare a competing interest. Authors’ contributions All authors contributed equally to this work. All authors read and approved the final manuscript. bm ack Acknowledgements This work is a publication of the United States Department of Agriculture (USDA/ARS) Children’s Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, Texas. The contents of this publication do not necessarily reflect the views or policies of the USDA, nor does mention of trade names, commercial products, or organizations imply endorsement from the U.S. government. This research project was supported by the Florida Department of Citrus, and USDA – Agricultural Research Service through specific cooperative agreement 58-6250-6-003. Partial support was received from the USDA Hatch Project LAB 93951. refgrp Association between 100% juice consumption and nutrient intake and weight in children aged 2 to 11 yearsNicklasTAO'NeilCEKleinmanRArch Ped Adolesc Med2008162557lpage 56510.1001/archpedi.162.6.557Relationship between 100% juice consumption and nutrient intake and weight of adolescentsO’NeilCENicklasTAKleinmanRAm J Health Promot20102423123710.4278/ajhp.080603-QUAN-76link fulltext 20232604Diet quality is positively associated with 100% fruit juice consumption in children and adults in the United States: NHANES 2003-2006O'NeilCENicklasTAZanovecMFulgoniVLsuf 3rdNutr J2011101710.1186/1475-2891-10-17pmcid 305581621314991Fruit juice consumption is associated with improved nutrient adequacy in children and adolescents: the National Health and Nutrition Examination Survey (NHANES) 2003-2006O'NeilCENicklasTAZanovecMKleinmanREFulgoniVLPublic Health Nutr2012151871197810.1017/S136898001200003122443678Excess fruit juice consumption by preschool-aged children is associated with short stature and obesityDennisonBARockwellHLBakerSLPediatrics19979915228989331Children's growth parameters vary by type of fruit juice consumedDennisonBARockwellHLNicholsMJJenkinsPAm Coll Nutr199918346352Fruit juice intake predicts increased adiposity gain in children from low-income families: weight status-by environment interactionFaithMSDennisonBAEdmundsLSStrattonHHPediatrics20061182066207510.1542/peds.2006-111717079580A review of the relationship between 100% fruit juice consumption and weight in children and adolescentsO’NeilCENicklasTAAm J Lifestyle Med2008231535410.1177/1559827608317277Association between fruit juice consumption and self-reported body mass index among adult CanadiansAkhtar-DaneshNDehghanMJ Hum Nutr Diet20102316216810.1111/j.1365-277X.2009.01029.x20113383Consumption of 100% fruit juice and risk of obesity and metabolic syndrome: findings from the national health and nutrition examination survey 1999-2004PereiraMAFulgoniVL3rdJ Am Coll Nutr20102962562921677126Sugar-sweetened beverages, weight gain, and incidence of type 2 diabetes in young and middle-aged womenSchulzeMBMansonJELudwigDSColditzGAStampferMJWillettWCHuFBJAMA200429292793410.1001/jama.292.8.92715328324Comparison of dietary intakes associated with metabolic syndrome risk factors in young adults: the Bogalusa heart studyYooSNicklasTBaranowskiTZakeriIFYangSJSrinivasanSRBerensonGSAm J Clin Nutr20048084184815447888Surrogate markers of insulin resistance are associated with consumption of sugar-sweetened drinks and fruit juice in middle and older-aged adultsYoshidaMMcKeownNMRogersGMeigsJBSaltzmanED'AgostinoRJacquesPFJ Nutr20071372121212717709452Intake of fruit, vegetables, and fruit juices and risk of diabetes in womenBazzanoLALiTYJoshipuraKJHuFBDiabetes Care2008311311131710.2337/dc08-0080245364718390796Drinking caloric beverages increases the risk of adverse cardiometabolic outcomes in the Coronary Artery Risk Development in Young Adults (CARDIA) StudyDuffeyKJGordon-LarsenPSteffenLMJacobsDRJrPopkinBMAm J Clin Nutr20109295495910.3945/ajcn.2010.29478293759120702604cnm United States Department of Agriculture. Economic Research ServiceFood availability spread sheetshttp://www.ers.usda.gov/data/foodconsumption/FoodAvailspreadsheets.htm#fruitju. Accessed January 23, 2012A comparison of nutrient density scores for 100% fruit juicesRampersaudGCJ Food Sci200772S261S26610.1111/j.1750-3841.2007.00324.x17995788United States department of agriculture nutrient database. NDB No: 09206http://www.nal.usda.gov/fnic/cgi-bin/list_nut.pl. Accessed January 24, 2012United States Department of Agriculture and U.S. Department of Health and Human ServicesDietary guidelines for Americans, 2010publisher Washington, DC: U.S: Government Printing Officeedition 72010http://www.cnpp.usda.gov/DGAs2010-PolicyDocument.htm. Accessed June 21, 2011Regulation of HepG2 cell apolipoprotein B metabolism by the citrus flavanones hesperetin and naringeninBorradaileNMCarrollKKKurowskaEMLipids19993459159810.1007/s11745-999-0403-710405973Effect of acute and chronic grapefruit, orange, and pineapple juice intake on blood lipid profile in normolipidemic ratDaherCFAbou-KhalilJBaroodyGMMed Sci Monit200511BR46547216319784Fresh Israeli Jaffa blond (Shamouti) orange and Israeli Jaffa red Star Ruby (Sunrise) grapefruit juices affect plasma lipid metabolism and antioxidant capacity in rats fed added cholesterolGorinsteinSLeontowiczHLeontowiczMKrzeminskiRGralakMMartin-BellosoODelgado-LiconEHaruenkitRKatrichEParkYSJungSTTrakhtenbergSJ Agric Food Chem2004524853485910.1021/jf040006y15264925HDL-cholesterol-raising effect of orange juice in subjects with hypercholesterolemiaKurowskaEMSpenceJDJordanJWetmoreSFreemanDJPichéLAetal Am J Clin Nutr2000721095110011063434Orange juice decreases low-density lipoprotein cholesterol in hypercholesterolemic subjects and improves lipid transfer to high-density lipoprotein in normal and hypercholesterolemic subjectsCesarTBAptekmannNPAraujoMPVinagreCCMaranhaoRCNutr Res20103068969410.1016/j.nutres.2010.09.00621056284Orange juice improved lipid profile and blood lactate of overweight middle-aged women subjected to aerobic trainingAptekmannNPCesarTBMaturitas20106734334710.1016/j.maturitas.2010.07.00920729016Effect of citrus flavonoids and tocotrienols on serum cholesterol levels in hypercholesterolemic subjectsRozaJMXian-LiuZGuthrieNAltern Ther Health Med200713444817985810Orange juice neutralizes the pro-inflammatory effect of a high-fat, high-carbohydrate meal and prevents endotoxin increase and Toll-like receptor expressionGhanimHSiaCLUpadhyayMKorzeniewskiKViswanathanPAbuayshehSAm J ClinNutr201091940949Effect of orange juice intake on vitamin C concentrations and biomarkers of antioxidant status in humansSanchez-MorenoCCanoMPde AncosBPlazaLOlmedillaBGranadoFMartinAAm J Clin Nutr20037845446012936929Pulsed electric fields–processed orange juice consumption increases plasma vitamin C and decreases F2-isoprostanes in healthy humansSanchez-MorenoCCanobMPde AncosbBPlazabLOlmedillacBGranadocFElez-MartinezPMartin-BellosodMMartinaANutr Biochem20041560160710.1016/j.jnutbio.2004.04.007Hesperidin contributes to the vascular protective effects of orange juice: a randomized crossover study in healthy volunteersMorandCDubrayCMilenkovicDLiogerDMartinJFScalbertAAm J Clin Nutr201193738010.3945/ajcn.110.00494521068346National Health and Nutrition Examination Survey2003-2004 Data Documentation, Codebook, and Frequencies. Demographic Variables and Sample Weights (DEMO_C)Last revised, September, 2009. [ http://www.cdc.gov/nchs/nhanes/nhanes2003-2004/DEMO_C.htm.] Accessed June 21, 2011National Health and Nutrition Examination Survey2003-2004 Data documentation, codebook, and frequencies. L physical activity monitor (PAXRAW_C)Last revised, December, 2007. [ http://www.cdc.gov/nchs/nhanes/nhanes2003-2004/PAXRAW_C.htm.] Accessed June 21, 2011NHANESIs my survey information confidential? December, 2007http://www.cdc.gov/nhanes/pQuestions.htm#. Accessed December 18, 2009The US department of agriculture automated multiple-pass method reduces bias in the collection of energy intakesMoshfeghAJRhodesDGBaerDJMurayiTClemensJCRumplerWVAm J Clin Nutr20088832433218689367The USDA automated multiple-pass method accurately estimates group total energy and nutrient intakeBlantonCAMoshfeghAJBaerDJKretschMJJ Nutr20061362594259916988132National Center for Health StatisticsThe NHANES 2002 MEC in-person dietary interviewers procedures manualhttp://www.cdc.gov/nchs/data/nhanes/nhanes_01_02/dietary_year_3.pdf. Accessed June 21, 2011US Food and Drug Administration4. Name of food. Guidance for industry: a food labeling guidehttp://www.fda.gov/Food/GuidanceComplianceRegulatoryInformation/GuidanceDocuments/FoodLabelingNutrition/FoodLabelingGuide/ucm064872.htm. Accessed January 20, 2011U.S. Department of Agriculture, Agricultural Research ServiceThe USDA food and nutrient database for dietary studies, 2.0–Documentation and user guide, 2006http://www.ars.usda.gov/SP2UserFiles/Place/12355000/pdf/fndds2_doc.pdf#title. Accessed June 21, 201122081688U.S. Department of Agriculture, Agricultural Research ServiceThe USDA food and nutrient database for dietary studies, 3.0–Documentation and user guide2008http://www.ars.usda.gov/SP2UserFiles/Place/12355000/pdf/fndds/fndds3_doc.pdf. Accessed June 21, 201122914551GuentherPMReedyJKrebs-SmithSMReeveBBBasiotisPPDevelopment and evaluation of the healthy eating index-2005: technical report. Center for nutrition policy and promotion, U.S. Department of agriculture2007http://www.cnpp.usda.gov/HealthyEatingIndex.htm. Accessed June 21, 2011U.S. Department of Agriculture, Center for Nutrition Policy and PromotionHEI2005_NHANES0102.txthttp://www.cnpp.usda.gov/HealthyEatingIndex-2005report.htm. Accessed June 21, 2011National Center for Health StatisticsThe NHANES Anthropometry Procedures Manual. Revised2004http://www.cdc.gov/nchs/data/nhanes/nhanes_03_04/BM.pdf. Accessed June 21, 2011National Institutes of HealthNational heart, lung, and blood institute. Clinical guidelines on the identification, evaluation, and treatment of overweight and obesity in adultshttp://www.nhlbi.nih.gov/guidelines/obesity/ob_gdlns.pdf. Accessed January 26, 2012National Center for Health StatisticsNHANES 2001-2002 data release; May 2004. MEC examination. Blood pressure section of the Physician’s examinationhttp://www.cdc.gov/nchs/data/nhanes/nhanes_01_02/bpx_b_doc.pdf. Accessed June 21, 2011National Health and Nutrition Examination Survey2003-2004 Data documentation, codebook, and frequencies. Total cholesterol and HDL. Last revised April2010http://www.cdc.gov/nchs/nhanes/nhanes2003-2004/l13_c.htm. Accessed June 21, 2011National Center for Health StatisticsNHANES documentation, codebook, and frequencies: survey years 2003-2004. MEC laboratory component: triglycerides and LDL-cholesterolhttp://www.cdc.gov/nchs/data/nhanes/nhanes_03_04/l13am_c.pdf. Accessed June 12, 2010National Center for Health StatisticsNHANES documentation, codebook, and frequencies: survey years 2003-2004. MEC laboratory component: plasma glucose, serum C-peptide, and insulinhttp://www.cdc.gov/nchs/data/nhanes/nhanes_03_04/l10am_c.pdf. Accessed June 12, 2010National Cholesterol Education ProgramNational heart, lung, and blood institute. National institutes of health. Detection, evaluation, and treatment of high blood cholesterol in adults (adult treatment panel III)2002NIH Publication No. 02-5215Usual Dietary IntakesSAS macros for analysis of a single dietary componenthttp://riskfactor.cancer.gov/diet/usualintakes/macros_single.html. Accessed June 12, 2010Institute of Medicine. Food and Nutrition BoardDietary reference intakes: applications in dietary assessmentWashington DC: National Academy Press2000National Center for Health StatisticsNHANES documentation, codebook, and frequencies: survey years 2003-2004. Physical activityhttp://www.cdc.gov/nchs/nhanes/nhanes2005-2006/PAQ_D.htm. Accessed August 29, 2011One hundred percent orange juice consumption is associated with better diet quality, improved nutrient adequacy, and no increased risk for overweight/obesity in childrenO'NeilCENicklasTARampersaudGCFulgoniVL3rdNutr Res20113167368210.1016/j.nutres.2011.09.00222024491Committee on Nutrition. The use and misuse of fruit juice in pediatricsAmerican Academy of PediatricsPediatrics20011071210121311331711US department of agriculture, 2005 dietary guidelines advisory committee report (2004) fruit and fruit juice analysishttp://www.health.gov/dietaryguidelines/dga2005/report/HTML/G2_Analyses.htm#fruitjuice. Accessed September 30, 2010Produce for better healthhttp://www.fruitsandveggiesmorematters.org. Accessed May 29 2010State-specific trends in fruit and vegetable consumption among adults – United States, 2000-2009Centers for Disease Control and Prevention (CDC)MMWR Morb Mortal Wkly Rep2010591125113020829745Relationship of child-feeding practices to overweight in low-income Mexican-American preschool-aged childrenMelgar-QuinonezHRKaiserLLJ Am Diet Assoc20041041110111910.1016/j.jada.2004.04.03015215770Fruit juice consumption and the prevalence of obesity and short stature in German preschool children: results of the DONALD (Dortmund Nutritional and Anthropometrical Longitudinally Designed Study)AlexyUSichert-HellertWKerstingMManzFSchochGPediat Gastroenterol Nutr19992934334910.1097/00005176-199909000-00019Fruit juice intake is not related to children's growthSkinnerJDCarruthBRMoranJ3rdHouckKColettaFPediatrics1999103586410.1542/peds.103.1.589917440A longitudinal study of children's juice intake and growth: the juice controversy revisitedSkinnerJDCarruthBRAm Diet Assoc200110143243710.1016/S0002-8223(01)00111-0Beverage intake among preschool children and its effect on weight statusO'ConnorTMYangSJNicklasTAPediatrics2006118e1010810.1542/peds.2005-234817015497Beverage consumption is not associated with changes in weight and body mass index among low-income preschool children in North DakotaNewbyPKPetersonKEBerkeyCSLeppertJWillettWCColditzGAJ Am Diet Assoc20041041086109410.1016/j.jada.2004.04.02015215766Plasma and hepatic cholesterol and hepatic activities of 3-hydroxy-3-methylglutaryl-CoA reductase and acyl CoA:cholesterol transferase are lower in rats fed citrus peel extract or a mixture of citrus bioflavonoidsBokSHLeeSHParkYBBaeKHSonKHJeongTSJ Nutr19991291182118510356084Effect of citrus flavonoids on lipid metabolism and glucose-regulating enzyme nRNA levels in type-2 diabetic miceJungUJLeeMKParkYBKangMAChoiMSInt J Biochem Cell Biol2006381134114510.1016/j.biocel.2005.12.00216427799Regulation of apo B production in HepG2 cells by citrus limonoidsKurowskaEMHasegawaSMannersGDCitrus limonoids: functional chemicals in agriculture and foodsWashington, DC: American Chemical Societyeditor Berhow EM, Hasegawa S, Manners GD200017584ACS Symposium Series 758Biobehavioral factors are associated with obesity in Puerto Rican childrenTanasescuMFerrisAMHimmelgreenDARodriguezNPerez-EscamillaRJ Nutr20001301734174210867044Association of key foods and beverages with obesity in Australian schoolchildrenSanigorskiAMBellACSwinburnBAPublic Health Nutr20071015215717261224Coffee and sweetened beverage consumption and the risk of type 2 diabetes mellitus: the atherosclerosis risk in communities studyPaynterNPYehHCVoutilainenSSchmidtMIHeissGFolsomARBrancatiFLKaoWHAm J Epidemiol20061641075108410.1093/aje/kwj32316982672Soft drink and juice consumption and risk of physician-diagnosed incident type 2 diabetes: the Singapore Chinese Health StudyOdegaardAOKohWPArakawaKYuMCPereiraMAAm J Epidemiol201017170170810.1093/aje/kwp452284221820160170 xml version 1.0 encoding utf-8 standalone no mets ID sort-mets_mets OBJID sword-mets LABEL DSpace SWORD Item PROFILE METS SIP Profile xmlns http:www.loc.govMETS xmlns:xlink http:www.w3.org1999xlink xmlns:xsi http:www.w3.org2001XMLSchema-instance xsi:schemaLocation http:www.loc.govstandardsmetsmets.xsd metsHdr CREATEDATE 2013-01-15T16:04:46 agent ROLE CUSTODIAN TYPE ORGANIZATION name BioMed Central dmdSec sword-mets-dmd-1 GROUPID sword-mets-dmd-1_group-1 mdWrap SWAP Metadata MDTYPE OTHER OTHERMDTYPE EPDCX MIMETYPE textxml xmlData epdcx:descriptionSet xmlns:epdcx http:purl.orgeprintepdcx2006-11-16 xmlns:MIOJAVI http:purl.orgeprintepdcxxsd2006-11-16epdcx.xsd epdcx:description epdcx:resourceId sword-mets-epdcx-1 epdcx:statement epdcx:propertyURI http:purl.orgdcelements1.1type epdcx:valueURI http:purl.orgeprintentityTypeScholarlyWork http:purl.orgdcelements1.1title epdcx:valueString 100% Orange juice consumption is associated with better diet quality, improved nutrient adequacy, decreased risk for obesity, and improved biomarkers of health in adults: National Health and Nutrition Examination Survey, 2003-2006 http:purl.orgdctermsabstract Abstract Background Consumption of 100% orange juice (OJ) has been positively associated with nutrient adequacy and diet quality, with no increased risk of overweight/obesity in children; however, no one has examined these factors in adults. The purpose of this study was to examine the association of 100% OJ consumption with nutrient adequacy, diet quality, and risk factors for metabolic syndrome (MetS) in a nationally representative sample of adults. Methods Data from adults 19+ years of age (n = 8,861) participating in the National Health and Nutrition Examination Survey 2003-2006 were used. The National Cancer Institute method was used to estimate the usual intake (UI) of 100% OJ consumption, selected nutrients, and food groups. Percentages of the population below the Estimated Average Requirement (EAR) or above the Adequate Intake (AI) were determined. Diet quality was measured by the Healthy Eating Index-2005 (HEI-2005). Covariate adjusted logistic regression was used to determine if consumers had a lower odds ratio of being overweight or obese or having risk factors of MetS or MetS. Results Usual per capita intake of 100% OJ was 50.3 ml/d. Among consumers (n = 2,310; 23.8%), UI was 210.0 ml/d. Compared to non-consumers, consumers had a higher (p < 0.05) percentage (% ± SE) of the population meeting the EAR for vitamin A (39.7 ± 2.5 vs 54.0 ± 1.2), vitamin C (0.0 ± 0.0 vs 59.0 ± 1.4), folate (5.8 ± 0.7 vs 15.1 ± 0.9), and magnesium (51.6 ± 1.6 vs 63.7 ± 1.2). Consumers were also more likely to be above the AI for potassium (4.1 ± 0.8 vs 1.8 ± 0.2). HEI-2005 was significantly (p < 0.05) higher in consumers (55.0 ± 0.4 vs 49.7 ± 0.3). Consumers also had higher intakes of total fruit, fruit juice, whole fruit, and whole grain. Consumers had a lower (p < 0.05) mean body mass index (27.6 ± 0.2 vs 28.5 ± 0.1), total cholesterol levels (197.6 ± 1.2 vs 200.8 ± 0.75 mg/dL), and low density lipoprotein-cholesterol levels (112.5 ± 1.4 vs 116.7 ± 0.93 mg/dL). Finally, compared to non-consumers of 100% OJ, consumers were 21% less likely to be obese and male consumers were 36% less likely to have MetS. Conclusion The results suggest that moderate consumption of 100% OJ should be encouraged to help individuals meet the USDA daily recommendation for fruit intake and as a component of a healthy diet. http:purl.orgdcelements1.1creator O’Neil, Carol E Nicklas, Theresa A Rampersaud, Gail C Fulgoni III, Victor L http:purl.orgeprinttermsisExpressedAs epdcx:valueRef sword-mets-expr-1 http:purl.orgeprintentityTypeExpression http:purl.orgdcelements1.1language epdcx:vesURI http:purl.orgdctermsRFC3066 en http:purl.orgeprinttermsType http:purl.orgeprinttypeJournalArticle http:purl.orgdctermsavailable epdcx:sesURI http:purl.orgdctermsW3CDTF 2012-12-12 http:purl.orgdcelements1.1publisher BioMed Central Ltd http:purl.orgeprinttermsstatus http:purl.orgeprinttermsStatus http:purl.orgeprintstatusPeerReviewed http:purl.orgeprinttermscopyrightHolder Carol E O’Neil et al.; licensee BioMed Central Ltd. http:purl.orgdctermslicense http://creativecommons.org/licenses/by/2.0 http:purl.orgdctermsaccessRights http:purl.orgeprinttermsAccessRights http:purl.orgeprintaccessRightsOpenAccess http:purl.orgeprinttermsbibliographicCitation Nutrition Journal. 2012 Dec 12;11(1):107 http:purl.orgdcelements1.1identifier http:purl.orgdctermsURI http://dx.doi.org/10.1186/1475-2891-11-107 fileSec fileGrp sword-mets-fgrp-1 USE CONTENT file sword-mets-fgid-0 sword-mets-file-1 FLocat LOCTYPE URL xlink:href 1475-2891-11-107.xml sword-mets-fgid-1 sword-mets-file-2 applicationpdf 1475-2891-11-107.pdf structMap sword-mets-struct-1 structure LOGICAL div sword-mets-div-1 DMDID Object sword-mets-div-2 File fptr FILEID sword-mets-div-3 |