/
RESEARCHOpenAccess RESEARCHOpenAccess

RESEARCHOpenAccess - PDF document

alida-meadow
alida-meadow . @alida-meadow
Follow
371 views
Uploaded On 2016-05-30

RESEARCHOpenAccess - PPT Presentation

Socialandpsychologicalfactorsaffectingeating habitsamonguniversitystudentsinaMalaysian medicalschoolacrosssectionalstudy KurubaranGanasegeran 1 SamiARAlDubai 1 AhmadMQureshi 2 AlabedAAAlabed ID: 341975

Share:

Link:

Embed:

Download Presentation from below link

Download Pdf The PPT/PDF document "RESEARCHOpenAccess" is the property of its rightful owner. Permission is granted to download and print the materials on this web site for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.


Presentation Transcript

RESEARCHOpenAccess Socialandpsychologicalfactorsaffectingeating habitsamonguniversitystudentsinaMalaysian medicalschool:across-sectionalstudy KurubaranGanasegeran 1 ,SamiARAl-Dubai 1* ,AhmadMQureshi 2 ,Al-abedAAAl-abed 3 ,RizalAM 3 andSyedMAljunid 3,4 Abstract Background: Eatinghabitshavebeenamajorconcernamonguniversitystudentsasadeterminantofhealth status.Theaimofthisstudywastoassessthepatternofeatinghabitsanditsassociatedsocialandpsychological factorsamongmedicalstudents. Methods: Acrosssectionalstudywasconductedamong132medicalstudentsofpre-clinicalphaseataMalaysian university.Aself-administeredquestionnairewasusedwhichincludedquestionsonsocio-demography, anthropometry,eatinghabitsandpsychosocialfactors. Results: Mean(±SD)ageoftherespondentswas22.7(±2.4)yearsand(theage)rangedfrom18to30years.More thanhalfhadregularmealsandbreakfast(57.6%&,56.1%respectively).Majority(73.5%)consumedfruitslessthan threetimesperweek,51.5%hadfriedfoodtwiceormoreaweekand59.8%drankwaterlessthan2litersdaily. Eatinghabitsscorewassignificantlylowamongyoungerstudents(18 – 22years),smokers,alcoholdrinkersand thosewhodidnotexercise.( p 0.05).Fourpsychologicalfactorsoutofsix,weresignificantlyassociatedwitheating habits( p 0.05).Inmultivariateanalysis,ageand ‘ eatingbecauseoffeelinghappy ’ eatinghabitsscore( p 0.05). Conclusion: Mostofthestudentsinthisstudyhadhealthyeatinghabits.Socialandpsychologicalfactorswere importantdeterminantsofeatinghabitsamongmedicalstudents. Keywords: Eatinghabits,Lifestyle,Malaysiamedicalstudents,Socialandpsychological Background Pooreatinghabitsisamajorpublichealthconcern amongyoungadultswhoexperiencedtransitioninto universitylife[1],duringwhich,theyareexposedto stressandlackoftime[2,3].Thesefactorsposeabarrier againstadoptionofhealthybehaviors,suchaspooreat- inghabitsandsubstanceabuse[1].Althoughthesebeha- viorsofstudentsareconsideredtemporary,aspartof universitylife;unhealthyhabitspickedupatthisage generallypersistinolderadultlife[4]. Rapidchangesinphysicalgrowthandpsychosocialde- velopmenthaveplacedtheseyoungadultsasnutritionally vulnerablegroupswithpooreatinghabits,thatfailsto meetdietaryrequirements[5-7].Somecommonun- healthyeatingpatternsamongyoungadultsincluded mealskipping,eatingawayfromhome,snackingandfast foodconsumption[6,7]. Environmentalfactorsalsocontributetoadoptionof unhealthyeatinghabitsamonguniversitystudents[8]. Themushroomingofshoppingmalls,convenience stores,vendingmachinesandfastfoodoutletshavecre- atedanalarmingsituationforyoungadultstopractice unhealthyeatinghabits[9]. Universitystudentstendtomaketheirownfood choices[10]basedoncostoffoodandavailabilityoffast food[11].Theylackknowledgeofhealthyfoodchoices negatively[11].Previousstudiesrevealedthatuniversity *Correspondence: samidobaie@yahoo.com 1 DepartmentofCommunityMedicine,InternationalMedicalSchool, ManagementandScienceUniversity(MSU),OffPersiaranOlahraga,Section 13,40100ShahAlam,Selangor,Malaysia Fulllistofauthorinformationisavailableattheendofthearticle ©2012Ganasegeranetal.;licenseeBioMedCentralLtd.ThisisanOpenAccessarticledistributedunderthetermsofthe CreativeCommonsAttributionLicense(http://creativecommons.org/licenses/by/2.0),whichpermitsunrestricteduse, distribution,andreproductioninanymedium,providedtheoriginalworkisproperlycited. Ganasegeran etal.NutritionJournal 2012, 11 :48 http://www.nutritionj.com/content/11/1/48 studentsfailedtomeettherecommendedintakesoffruitsandvegetables[12,13].Universitystudentshadfre-quentsnackinghabits[14]andhadahigherfrequencyoffastfoodconsumption[15].Ithasbeenassumedthatmedicalstudentswouldprac-ticehealthydietaryhabitscomparedtonon-medicalstu-dents[16].Somestudieshavefoundotherwise.ApreviousstudyinChinarevealedthatmedicalstudentsexhibitedearlyriskfactorsforchronicdiseasesduetopooreatinghabits[17].Itwasfoundthatalthoughmed-icalstudentshadsufficientknowledgeregardinggooddietaryhabits,theyfailedtoapplythisknowledgeintopractice[2].Stressofuniversitylifeandmedicalstudyloadwouldbefactorsthatnegativelyinfluencetheirdiet[18].In2011,Ganetal.highlightedthepresenceofun-healthyeatingbehavioursandinadequatenutrientintakeamonguniversitystudents[11].Thestudyconcludedthattherewasaneedtopromotehealthyeatinghabitsamongyoungadultstoachieveahealthynutritionalsta-tus.Chin&Nasir(2009)[5]revealedthatmealskipping;particularlybreakfast,snackingandvariousweightlossdietarybehavioursweresomeoftheunhealthyeatingbehavioursdepictedbyMalaysianadolescentgirls.Thestudyconcludedthatpromotionofhealthyeatingwascrucialforfuturehealthwell-being.TherewasnostudyinMalaysiathatinvestigatedtherelationshipbetweeneatinghabitsandthepsychologicalfactorsamonguni-versitymedicalstudents.Thecurrentstudyisaimedatassessingthepatternsofeatinghabitanditsassociatedfactors,withfocusonpsychologicalfactorsamongmed-icalstudentsinaMalaysianuniversity.MethodologyStudysettingandpopulationThiscross-sectionalstudywasconductedamong140medicalstudentsataprivateuniversityinMalaysiabyusinguniversalsampling.Afterarrangementwithcourseco-coordinatorandlecturers,studentsfromthefirstyearmedicalfacultywereapproachedintheclassroomafterlectures.Theywereaskedtoparticipateinthisstudyvoluntarily.Objectivesandbenefitsofthestudywereexplainedtorespondentsorallyandinawrittenformattachedtothequestionnaire.Theywereassuredthatinformationobtainedwouldbeconfidentialandtheirparticipationwouldnotaffecttheircourseprogress.Awrittenconsentwasobtainedfromthosewhoagreedtoparticipate.ApprovalofthestudywasobtainedfromtheethicscommitteeoftheUniversity(approvalnumber:JMS5/0182).StudyinstrumentsWeusedaself-administeredquestionnaireoneatinghabitswhichwasadoptedfrompreviouspublishedstudies[14,15].Thequestionnaireconsistedofthreeparts.Thefirstpartincludedquestionsondemographicdata;suchasage,gender,educationlevel,maritalstatus,ethnicityandlivingcircumstances.Bodymassindex(BMI)andlifestyle;suchassmoking,alcoholintakeandexercisewerealsoincludedinthispart.Thesecondpartincludesquestionsoneatinghabitsandtypeofmealsconsumed(10items),suchasfrequencyofmeals,typeofmeal,vegetablesandfruitsconsumption,dailywaterintake,consumptionoffastfood,etc.Thethirdpartincludedquestionsonpsychologicalfactorsthatinflu-enceddietaryhabitsofrespondents.QuestionswereselectedfromthevalidatedCompulsiveEatingScale(CES)[16]thatwasusedtomeasureuncontrolledeatingpatternsamongcollegestudents;itemsincludedinthisstudywere:eatbecauseoffeelinglonelyfeeloutofcontrolwheneatingeatsomuchuntilstomachhurtseatbecauseoffeelingupsetornervouseatbecauseoffeelingboredeatbecauseoffeelinghappy.TheresponseoptionswereStatisticalanalysisTheStatisticalPackageforSocialSciences(SPSS)version16.0wasusedtoanalysethedatainthisstudy.TheBMIwascalculatedasweightinkilogramsdividedbyheightinsquaremetres(kg/m).Inthisstudy,basedontheWHOBMIcut-offsfortheAsianpopulation,aBMI18.5kg/mwascategorisedasunderweight,189kg/mthenormalrange,23.027.4kg/maspre-obese,27.534.9kg/masobeseClassI,35.039.9kg/masobeseClassIIand40kg/masobeseClassIII[19].TocheckforthevalidityoftheCompulsiveEatingScale(CES)amongtheMalaysianpopulation,anexploratoryfactoranalysiswasperformedusingprincipalcomponentmethodwithvarimaxrotationandCronbachsalphawasusedtotesttheinternalconsistencyofthescale.Eachitemofeatinghabitswasscored(1)iftheresponsewashealthyor(0)ifnonhealthy.Allitemsweresummedandthetotalscorewasobtained(minimum=0andmaximum=10).Thus,ahigherscoreoneatinghabitsindicatedbettereatinghabits.Descriptiveanalysiswasperformedforallvariables.Student-testandANOVAtestwereusedtocomparemeaneatinghabitsacrosssocio-demographicvariables.Testofnormaldistribu-tionofthetotalscoreofeatinghabitswasalsocon-ducted.Hierarchicalmultivariatelinearregressionwasusedtoobtainfactorsassociatedsignificantlywitheat-inghabitscore.Age,workingstatusofmother,drink-ingalcohol,exerciseandsmokingstatuswereenteredinthefirststep.Inthesecondstep,fiveoutofsixpsy-chologicalfactorsaffectingeatingbehaviorwereen-tered.Multicollinearitywascheckedbetweenindependentvariables.Ganasegeranetal.NutritionJournalPage2of7http://www.nutritionj.com/content/11/1/48 Socio-demographiccharacteristicsOnehundredandthirtytwooutof140studentspartici-patedinthisstudywitharesponserateof94.0%.Themajoritywasfemales(70.5%)andagedmorethan22years(old61.4%).MostofthemwereMalays(61.4%)whileIndiansandChineseconstituted(of)31.8%and2.3%respectively.Regardingmotherseducationlevel,44.7%hadtertiaryeducation,37.9%hadhighschoolorlessandtheresthadnon-formaleducation(17.4%).Regardingfatherseducation,majorityhadtertiaryedu-cation(51.5%),33.3%hadhighschoolorlessand15.2%hadnon-formaleducation.Themajorityofmotherswerenotworking(57.6%).ThemajorityhadanaveragemonthlyhouseholdincomeofRM3000orless(59.1%)andlivingwiththeirfamilies(64.4%).Themajorityhaddeniedsmoking(94.7%)andalcoholconsumption(97%).Alotofthemperformedregularexercise(78%),butsomedidnot(22%).Morethanhalf(53%)hadanormalBMI,22.7%wereunderweights,16.7%werepre-obeseand7.6%wereobeseClassI(Table1).EatinghabitsMorethanhalftookmealsandbreakfastregularly(57.6%,56.1%respectively).About57.6%hadsnackslessthanthreetimesperweekand42.4%tooksnacksthreeormoretimesperweek.Themajorityconsumedvegeta-blesandlegumesthreeormoretimesperweek(81.8%).Almosthalfofthem(51.5%)consumedfruitslessthanthreetimesperweek;therest(48.5%)tookitthreetimesormore.Manyhadfriedfoodtwiceaweekormore(73.5%),while26.2%tookitlessthantwotimes.Themajority(78.8%)hadfastfoodrarelyandtookmealswithfamilyorfriendsdaily(81.1%).Mostofthemhadabalancedvarietyoffoods(60.6%)while18.9%preferredmeatand5.3%preferredvegetables.Themajorityhadlessthantwoliterswaterintakedaily(59.8%)(Table2).PsychologicalfactorsaffectingeatingbehaviorCronbachsalphacoefficientoftheCompulsiveEatingScale(CES)was0.80.Theexploratoryfactoranalysesyieldedonefactorswithgivenvaluesgreaterthan1(3.1).Thetwo-factorsolutionaccountedfor51.0%ofthevariance.Factorloadingrangedfrom0.41to0.50.Nearly48.5%atebecauseoffeelinglonely,62.1%feltcompletelyoutofcontrolwhenitcomestofood,53.8%atetillstomachhurts,53%atebecauseoffeelingupsetornervousand59.1%atebecauseoffeelingbored.Themajorityatebecauseoffeelinghappy(80.3%)(Table3).Associationbetweeneatinghabitsandsocio-demographicfactorsMeantotalscoreofeatinghabitforalltheparticipantwas6.3(SD±1.8)andrangedfrom2to10.Meanwith(SD)totalscoreofeatinghabitswascomparedacrossthecat-egoricalvariablesinthestudy.Meanforthoseaged22yearsandthoseaged1821yearswas6.68(SD±1.66) Table1Socio-demographiccharacteristicsofrespondents(n=132)CharacteristicsN%Male3929.5Female9370.518-215138.6228161.4Malay8161.4Chinese32.3Indian4231.8Others64.5seducationlevelNon-formaleducation2317.4Highschoolorless5037.9Tertiaryeducation5944.7seducationlevelNon-formaleducation2015.2Highschoolorless4433.3Tertiaryeducation6851.5Monthlyhouseholdincome(RM)30007859.13001-49992216.750003224.2LivingarrangementLivingalone4735.6Livingwithfamily8564.4BodyMassIndex(BMI)*Underweight(18.5)3022.7Normal(18.522.9)7053.0Pre-obese(23.0-27.4)2216.7ObeseclassI(27.5-34.9)107.6MotherworkingYes5642.4Yes75.3Yes43.0RegularexerciseYes10378BMIiscalculatedbasedonWHOcriteriaforAsianpopulation.Ganasegeranetal.NutritionJournalPage3of7http://www.nutritionj.com/content/11/1/48 and5.86(SD±1.87)respectivelyandthisdifferencewassignificant(=0.01).Significantdifferenceineatinghabitsscorewasalsofoundbetweensmokers,4.86(SD±1.57)andnonsmokers,6.45(SD±1.76),(=0.02)andbetweenthosewhodrankalcohol,4.25(SD±2.06)andthosewhodidnot,6.43(SD±1.74),(=0.02).Nosignificantassoci-ationwasfoundbetweeneatinghabitsandothersocio-demographicfactors(Table4).AssociationbetweeneatinghabitsandPsychologicalMeanwith(SD)oftotalscoreofeatinghabitwascom-paredbetweenthosewhoansweredyesandthosewhoansweredoneachitemofthepsychologicalfactors.Meantotalscoreofeatinghabitforthosewhoatewhenlonelywas5.95(SD±1.78)andforthosewhodidnotwas6.75(SD±1.70)(=0.01).Meanforthoseatetillstomachhurtwas6.06(SD±1.76),andforthosewhodidnotwas6.72(SD±1.74)(=0.03).Meanforthosewhoatewhenupsetandthosewhodidnotwas6.07(SD±1.75)and6.69(SD±1.77)respectively(=0.04).Meanforthosewhoatewhenboredwas5.91(SD±1.67)andforthosewhodidnotwas7.02(SD±1.74)((Table5).FactorsassociatedwitheatinghabitsinthehierarchicalmultiplelinearregressionAge,workingstatusofmother,drinkingalcohol,exerciseandsmokingstatuswereenteredinthefirststep.Inthesecondstep,thefollowingfactorswereentered:eatbe-causeoffeelinglonelyfeeloutofcontrolwheneat-eatsomuchuntilstomachhurtseatbecauseoffeelingupsetornervouseatbecauseoffeeling.Theresultsfromthefirststepindicatedthatagewassignificantlyassociatedwitheatinghabitsscore=0.006).Inthesecondstep,factorsassociatedwitheatinghabitsscorewereage(=0.009),drinkingalcohol(p=0.037)andeatbecauseoffeelinghappy=0.009)(Table6).Thetotalmodelwassignificant(0.001)andaccountedfor19%ofthevariance.Therewasnomulti-collinearitybetweenvariables. Table2Eatinghabitsamongrespondents(n=132)CharacteristicsN%RegularmealsYes7657.6No5642.4DailybreakfastYes5843.9No7456.1FrequencyofdailymealsLessthanthreetimes7959.8Threeormoretimes5340.2Frequencyofhavingsnacks(perweek)Lessthanthreetimes7657.6Threeormoretimes5642.4Weeklyconsumptionofvegetables&legumesLessthanthreetimes2418.2Threeormoretimes10881.8WeeklyconsumptionoffruitsLessthanthreetimes6851.5Threeormoretimes6448.5WeeklyconsumptionoffriedfoodLessthantwice3526.5Twiceormore9773.5ConsumptionoffastfoodOften2821.2Rarely10478.8Mealswithfriends&familyDaily10781.1Notdaily2518.9TypeoffoodconsumedMainlymeat2518.9Mainlyvegetables75.3Carbohydrate(rice,bread)2015.2Varietyoffoodinbalance8060.6Waterintake(liters/day)27959.825340.2 Table3Psychologicalfactorsaffectingrespondentseatinghabitsamongrespondents(n=132)PsychologicalfactorsYesn(%)Non(%)Eatbecauseoffeelinglonely64(48.5)68(51.5)Feelcompletelyoutofcontrolwhenitcomestofood82(62.1)50(37.9)Eatsomuchuntilstomachhurts71(53.8)61(46.2)Eatbecauseoffeelingupsetornervous70(53.0)62(47.0)Eatbecauseoffeelingbored78(59.1)54(40.9)Eatbecauseoffeelinghappy106(80.3)26(19.7)Ganasegeranetal.NutritionJournalPage4of7http://www.nutritionj.com/content/11/1/48 DiscussionInthisstudy,morethanhalfofrespondentshadmealsregularlyand40.2%hadmealsofatleastthreetimesperday.ThisfindingwascomparativelylowerthanthatreportedbyaChinesestudyinwhich83.6%ofuniversitystudentsconsumedregularmeals,with79%ofthemtookatleastthreetimesperday[17].Anotherstudyreportedthat61.4%ofLebaneseuniversitystudentshadregularmealsdaily[14].Regularbreakfastconsumptionamongmedicalstudentsisimportantforsufficientenergyintaketoovercomefa-tigueduetobusy(daily)learningschedule[20].Inthisstudy,lessthanhalfofrespondents(43.9%)hadbreakfastdaily.Thisfindingwashigherincomparisontoapreviousstudy[14]whichfoundthat31.8%ofstudypopulationhadbreakfastdaily.However,somestudiesfromMalaysiafoundhigherratesofdailybreakfastconsumptionamongMalayundergraduatestudentsinSelangor(75.6%)[21]andfemaleadolescentsinPahang(52.6%)[5].Thefrequentconsumptionofsnacksandlightmealsisarecognizableaspectofteenagefoodbehavior[22].Sur-prisingly,ourstudyfoundthatonly42.4%ofrespon-dentshadsnackingatleastthreetimesperweek.Thisfindingwascomparativelylowerthanpreviousstudiesfromdifferentcountries,whichfoundgreaterproportionofSyrianadolescents(53.0%)andLebanonstudents(53.2%)[14,23]consumedsnacksregularly.Themajorityofrespondentsinourstudyconsumedvegetablesandlegumesfrequently(81.8%).ThisfindingwashighincomparisontopreviousstudiesfromChina(47.9%)[17]andBahrain(26.3%)[22].However,onestudyfromMalaysiafoundthatonly19%ofuniversitystudentsconsumedvegetablesmorethanthreetimesperweek[11].Ourstudyalsofoundthat48.5%ofrespondentsconsumedfruitsatleastthreetimesperweek.SimilarfindingwasreportedbyYahiaetal.,(2008)[14].Itwasreportedthatlowintakeoffruitsandvegeta-blesisassociatedwithseveralchronicdiseasesatadult-hood[24].Ourstudydisclosedthatmajorityofmedicalstudentswereawareofthishealthrisk.Thetypicaluniversitystudentdietisusuallyhighinfat[25].Studentsoftenselectfastfoodduetoitspalat-ability,availabilityandconvenience[14].Surprisingly,ourstudyfoundthatonly21.2%ofrespondentscon-sumedfastfoodoften.ChinandNasir,(2009)[5]reportedthatonly4.7%ofrespondentsvisitedfastfoodrestaurantsfrequently.Incontrast,Moyetal.,(2009)[12]reportedthat60-70%ofprimaryschoolstudentswerefondoffastfood.However,ourstudyalsofoundthatmajorityofrespondents(73.5%)consumedfriedfoodatleasttwiceaweekormore,whichwasinlinewiththatfoundbyapreviousstudy[14].Mostoftherespondentsinthisstudy(81.8%)hadmealswiththeirfamilyorfriends.Thisiscomparativelyhighertothatfoundbyapreviousstudyinwhich42.7%ofuniversitystudentshadmealswiththeirfamiliesorpeers[14].Smokingandalcoholconsumptionweresignificantlyassociatedwitheatinghabitinthisstudy.Similarfind-ingswerereportedamongChineseuniversitystudents[17].Ourstudyalsofoundasignificantassociationbe-tweenageandeatinghabits. Table4Associationbetweeneatinghabitsscoreandcategoricalvariables(n=132)CategoricalvariableMean(SD)Male6.28(1.82)Female6.40(1.77)0.7318-215.86(1.87)226.68(1.66)0.01Ethnicity*Malay6.31(1.81)Chinese8.33(1.53)Indian6.33(1.75)Others6.33(1.51)0.29educationlevel*Non-formaleducation6.99(1.56)Highschoolorless6.32(1.58)Tertiaryeducation6.19(1.99)0.25educationlevel*Non-formaleducation7.05(1.76)Highschoolorless6.32(1.68)Tertiaryeducation6.19(1.99)0.16householdincome*30006.36(1.71)3001-49996.23(1.54)50006.47(2.11)0.88arrangementAlone6.40(1.79)Withfamily6.30(1.78)0.75Yes6.04(1.61)No6.61(1.87)0.07Yes4.86(1.57)No6.45(1.76)0.02Yes4.25(2.06)No6.43(1.74)0.02Yes6.51(1.81)No5.86(1.60)0.09BodyMassIndexUnderweight(18.5)6.23(1.57)Normal(18.522.9)6.47(1.90)Pre-obese(23.0-27.4)6.68(1.67)ObeseclassI(27.5-34.9)5.30(1.49)0.20OnewayANOVAtestwasusedtocomparemeanbetweencategories.Ganasegeranetal.NutritionJournalPage5of7http://www.nutritionj.com/content/11/1/48 Attendingauniversityorcollegecanbeastressfulex-perienceformanycollegestudents[26].Previousstudiesfoundthatbehavioralconsequencesofstressmayaffecteatinghabits[27,28].Peoplelivinginastressfulsocietytendtoeatmoreasawayofcopingwithstress[26].ApossiblenewinnovationinthisstudywastheassociationbetweeneatinghabitsandpsychosocialfactorsamongMalaysianmedicalstudents;eatinghabitsscoreinthisstudywassignificantlyloweramongthosewhoansweredonthefollowingstatements:eatbecauseoffeelinglonelyeatuntilstomachhurtseatbecauseoffeelingupsetornervouseatbecauseoffeelingboredKagan&Squires,(1984)[16]suggestedthatuncon-trolledeatingpatternsamongcollegestudentscouldbeduetocompulsiveeatingbehaviors.Withtheparadigmshifttowardsindustrializationandculturalchangeglo-bally,informationonhealthydiethasbecomescarceinmanydevelopinganddevelopednations.Themostvul-nerablegroup,beinguniversitystudents,haveadoptedunhealthyeatingbehaviorsduetoreducedavailability,affordabilityandaccessibilityofhealthydietinuniversitycampusesandsurroundingfoodoutlets.Thisstudyexhibitedmulti-factorialcausesaffectingeatinghabitsamongMalaysianuniversitystudents.Understandingthecontextsofsuchmulti-factorialcausesmayhelphealthyfoodpromotionalactivitiesbyparents,universityauthor-ities,foodprovidersandhealthpromotionofficers.Resultsofthisstudymayhelptocreateafoundationforpossibleinterventionalprogramsonhealthyeatinghabitspromotions.Blendedwithdifferentsocio-culturalandpsychologicalattributesacrossdifferentregions,aunifiedhealthyeatingpolicyshouldbedrafted,beingpo-tentiallyamalgamatedandpracticedinallregionsin-cludingdevelopinganddevelopednations.Ingeneral,mostofthestudentsinthisstudyhadhealthyeatinghabitsexceptinfrequencyofmeals,fruitcon-sumption,waterintakeandconsumptionoffriedfood.Socialandpsychologicalfactorswereimportantdeter-minantsofeatinghabitsamongmedicalstudents.Nutri-tionaleducationamongmedicalstudentsshouldbeencouragedtopromotehealthiereatinghabitsandlife-styles,aswellasadherencetothehealthiertraditionalfood.Itisrecommendedthatthescopeoffutureresearchshouldbebroadenedtoincludealargerrepre-sentativesamplesizeofmedicalstudentsbyincludingstudentsfromdifferentmedicalcolleagesfromallMalaysia. Table6Resultsofthehierarchicalmultiplelinearregression;factorsassociatedwitheatinghabitsscore(n=132)Step1Step2BBetavalueBBeta22yearsold0.6750.2380.0060.6290.2220.009Motherworking0.3440.0960.2640.2830.0790.349Drinkingalcohol1.5140.1460.1392.0900.2020.037Exercise0.6190.1450.0830.5460.1280.121Smoking0.9060.1150.2510.3940.0500.613Eatbecauseoffeelinglonely0.2290.0650.478Eatbecauseoffeelingoutofcontrolwheneating0.5440.1490.096Eatsomuchuntilstomachhurts0.4100.1150.199Eatbecauseoffeelingupsetornervous0.0930.0260.778Eatbecauseoffeelinghappy0.931.2580.009Thereferencegroupforageis18-21years;forexerciseis;forallothervariablesis Table5Associationbetweeneatinghabitsscoreandpsychologicalfactors(n=132)PsychologicalfactorsMean(SD)YesNoEatbecauseoffeelinglonely5.95(1.78)6.75(1.70)0.01Feelcompletelyoutofcontrolwhenitcomestofood6.32(1.85)6.44(1.08)0.70Eatsomuchuntilstomachhurts6.06(1.76)6.72(1.74)0.03Eatbecauseoffeelingupsetornervous6.07(1.75)6.69(1.77)0.04Eatbecauseoffeelingbored5.91(1.67)7.02(1.74)Eatbecauseoffeelinghappy6.31(1.82)6.58(1.63)0.50Ganasegeranetal.NutritionJournalPage6of7http://www.nutritionj.com/content/11/1/48 Abbreviations CI:Confidenceinterval;OR:Oddsratio;CES:CompulsiveEatingScale; BMI:BodyMassIndex;SD:StandardDeviation. Competinginterests Theauthorshavenocompetingintereststodeclare. Acknowledgements WewouldliketothankFairuzBintiYusoff(InternationalMedicalSchool, ManagementandScienceUniversity(MSU)forherparticipationindata collection. Authordetails 1 DepartmentofCommunityMedicine,InternationalMedicalSchool, ManagementandScienceUniversity(MSU),OffPersiaranOlahraga,Section 13,40100ShahAlam,Selangor,Malaysia. 2 CommunityMedicineandPublic Health,CyberjayaUniversityCollegeofMedicalSciences,No.3410,Jalan Teknokrat3,Cyber4,63000Cyberjaya,Selangor,Malaysia. 3 Community HealthDepartment,FacultyofMedicine,UniversitiKebangsaanMalaysia (UKM),JalanYaacobLatiff,56000Cheras,KualaLumpur,Malaysia. 4 United NationsUniversity-InternationalInstituteforGlobalHealth,JalanYaacob Latiff,56000KualaLumpur,Malaysia. Authors ’ contributions SARandKBdesignedtheresearchstudy.AMQandAAAconductedthedata entry,datacleaninganddescriptiveanalysis.SARandKBwereresponsible fordataanalysisandinterpretationofresults.SAR,KBandAMQwrotethe paper.RAMandSMArevisedthefinaldraftcriticallyforimportantintellectual content.Allauthorsreadandapprovedthefinalmanuscript. Received:23April2012Accepted:18July2012 Published:18July2012 References 1.NelsonMC,StoryM,LarsonNI,Neumark-SztainerD,LytleLA: Emerging adulthoodandcollege-agedyouth:Anoverlookedagefor weight-relatedbehaviorchange. Obes 2008, 16 (10):2205 – 2211. 2.RubinaA,ShoukatS,RazaR,ShiekhMM,RashidQ,SiddiqueMS,PanjuS, RazaH,ChaudhryS,KadirM: Knowledgeandpracticeofhealthylifestyle anddietaryhabitsinmedicalandnon-medicalstudentsofKarachi, Pakistan. JPakMedAssoc 2009, 59 (9):650 – 655. 3.WebbE,AshtonCH,KellyP,KamahF: AnupdateonBritishmedical students ’ lifestyles. MedEduc 1998, 32 :325 – 331. 4.SillimanK,Rodas-FortierK,NeymanM: Asurveyofdietaryandexercise habitsandperceivedbarrierstofollowingahealthylifestyleinacollege population. CalifornianJHealthPromot 2004, 2 (2):10 – 19. 5.ChinYS,MohdNM: Eatingbehaviorsamongfemaleadolescentsin KuantanDistrict,Pahang,Malaysia. PakJNutr 2009, 8 (4):425 – 432. 6.SavigeGS,BallK,WorsleyA,CrawfordD: Foodintakepatternsamong Australianadolescents. AsiaPacJClinNutr 2007, 16 :738 – 747. 7.ShiZ,LienN,KumarBN,Holmboe-OttesenG: Socio-demographic differencesinfoodhabitspatternsofschoolchildrenandadolescentsin andpreferencesofschooladolescentsinJiangsuProvince,China. EurJ ClinNutr 2005, 59 :1439 – 1448. 8.DowdaM,AinsworthB,AddyC,SaundersR,RinerW: Environmental influences,physicalactivityandweightstatusin8to16yearolds. ArchivesofPediatricandAdolescentMedicine 2001, 155 :711 – 717. 9.KingKA,MohlK,BernardAL,VidourekRA: Doesinvolvementinhealthy eatingamonguniversitystudentsdifferbasedonexercisestatusand reasonsforexercise? CalifornianJournalofHealthPromotion 2007, 5 (3):106 – 119. 10.SatalicZ,BaricIC,KeserI: DietqualityinCroatianuniversitystudents: Energy,macro-nutrientandmicro-nutrientintakesaccordingtogender. IntJFoodSciNutr 2007, 58 (5):398 – 410. 11.GanWY,MohdNM,ZalilahMS,HaziziAS: Differencesineatingbehaviours, dietaryintakeandbodyweightstatusbetweenmaleandfemale Malaysianuniversitystudents. MalJNutr 2011, 17 (2):213 – 228. 12.MoyFM,JohariS,IsmailY,MahadR,TieFH,WanIsmailWMA: Breakfast skippinganditsassociatedfactorsamongundergraduatesinapublic universityinKualaLumpur. MalJNutr 2009, 15 (2):165 – 174. 13.HuangTTK,HarriesKJ,LeeRE,NazirN,BornW,KaurH: Assessing overweight,obesity,dietandphysicalactivityincollegestudents. JAm CollHealth 2003, 52 (2):83 – 86. 14.YahiaN,AchkarA,AbdallahA,RizkS: Eatinghabitsandobesityamong Lebaneseuniversitystudents. NutrJ 2008, 7 (32).doi:10.1186/1475-2891-7- 32.http://www.nutritionj.com/content/7/1/32. 15.AlizadehM,GhabiliK: HealthrelatedlifestyleamongtheIranianmedical students. ResBiolSci 2008, 3 (1):4 – 9. 16.KaganDM,SquiresRL: Compulsiveeating,dieting,stressandhostility amongcollegestudents. JCollStudPers 1984, 25 (3):213 – 220. 17.SakamakiR,ToyamaK,AmamotoR,LiuCJ,ShinfukuN: Nutritional knowledge,foodhabitsandhealthattitudeofChineseuniversitystudents: acrosssectionalstudy. NutrJ 2005, 4 (4).doi:10.1186/1475-2891-4-4. 18.MikolajczykR,ElAnsariW,MaxwellA: Foodconsumptionfrequencyand perceivedstressanddepressivesymptomsamongstudentsinthree Europeancountries. NutrJ 2009, 8 (1):31. 19.WHOExpertConsultation: Appropriatebody-massindexforAsian populationsanditsimplicationsforpolicyandinterventionstrategies. Lancet 2004, 363 :157 – 163. 20.TanakaM,MizunoK,FukudaS,ShigiharaY,WatanabeY: Relationships betweendietaryhabitsandtheprevalenceoffatigueinmedical students. Nutrition 2008, 24 :985 – 989. 21.AnuarK,GhazaliM: Theassociationofbreakfastconsumptionhabit, snackingbehaviorandbodymassindexamonguniversitystudents. Am. J.Food.Nutr 2011, 1 (2):55 – 60. 22.MusaigerAO,BaderZ,Al-RoomiK,D ’ SouzaR: Dietaryandlifestylehabits amongstadolescentsinBahrain. Food&NutritionResearch 2011, 55 :7122. doi:10.3402/fnr.v55i0.7122. 23.BashourHN: Surveyofdietaryhabitsofin-schooladolescentsin Damascus,SyrianArabRepublic. EasternMediterraneanHealthJournal 2004, 10 (6):853 – 862. 24.KerkadiA: EvaluationofnutritionalstatusofUnitedArabEmirates universityfemalestudents. EmiratesJAgriculturalSci 2003, 15 :42 – 50. 25.GaloreSR,WalkerC,ChandlerA: BriefCommunication:Dietaryhabitsof firstyearmedicalstudentsasdeterminedbycomputersoftwareanalysis ofthree-dayfoodrecords. JAmCollNutr 1993, 12 :517 – 520. 26.GowerB,HandCE,CrooksZK: Therelationshipbetweenstressandeating incollege-agedstudents. UndergraduateResearchJournalfortheHuman Sciences 2008, 7 :ISBN1-929083-13-0.http://www.kon.org/urc/v7/crooks.htm. 27.TorresS,NowsonC: Relationshipbetweenstress,eatingbehaviorand obesity. Nutrition 2007, 23 (11 – 12):887 – 894. 28.AdamT,EpelE: Stress,eatingandtherewardsystem. PhysiolBehav 2007, 91 :449 – 458. doi:10.1186/1475-2891-11-48 Citethisarticleas: Ganasegeran etal. : Socialandpsychologicalfactors affectingeatinghabitsamonguniversitystudentsinaMalaysian medicalschool:across-sectionalstudy. NutritionJournal 2012 11 :48. 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 Ganasegeran etal.NutritionJournal 2012, 11 :48 Page7of7 http://www.nutritionj.com/content/11/1/48