• Nenhum resultado encontrado

J. Pediatr. (Rio J.) vol.93 número5

N/A
N/A
Protected

Academic year: 2018

Share "J. Pediatr. (Rio J.) vol.93 número5"

Copied!
9
0
0

Texto

(1)

www.jped.com.br

ORIGINAL

ARTICLE

Age

at

introduction

of

ultra-processed

food

among

preschool

children

attending

day-care

centers

,

夽夽

Giovana

Longo-Silva

a,∗

,

Jonas

Augusto

C.

Silveira

a

,

Rísia

Cristina

Egito

de

Menezes

a

,

Maysa

Helena

de

Aguiar

Toloni

b

aUniversidadeFederaldeAlagoas(UFAL),FaculdadedeNutric¸ão(FANUT),ProgramadePós-Graduac¸ãoemNutric¸ão,Maceió,AL,

Brazil

bUniversidadeFederaldeLavras(UFLA),DepartamentodeNutric¸ão,Lavras,MG,Brazil

Received31August2016;accepted23November2016 Availableonline29May2017

KEYWORDS

Preschoolchild; Overweight; Obesity; Supplementary feeding;

Industrializedfoods; Childnutrition

Abstract

Objective: Toidentifytheageofintroductionofultra-processedfoodanditsassociatedfactors amongpreschoolchildren.

Methods: Cross-sectionalstudycarriedoutfromMarchtoJune2014with359preschoolchildren aged17to63monthsattendingday-carecenters.Timeuntilultra-processedfoodintroduction (outcome variable)was described by the Kaplan---Meier analysis,and the log-ranktest was usedtocomparethesurvivalfunctionsofindependentvariables.Factorsassociatedwith ultra-processedfoodintroductionwereinvestigatedusingthemultivariateCoxproportionalhazards model.Theresultswereshownashazardratioswiththeirrespective95%confidenceintervals. Results: Themedian timeuntil ultra-processed food introduction wassix months. Between the3rdand6thmonths,thereisasignificantincreaseintheprobabilityofintroducing ultra-processedfoodinthechildren’sdiet;andwhiletheprobabilityinthe3rdmonthvariesfrom 0.15to0.25,atsixmonthsthevariationrangesfrom0.6to1.0.ThefinalCoxproportional hazardsmodelshowedthatunplannedpregnancy(1.32[1.05---1.65]),absenceofprenatalcare (2.50[1.02---6.16]),andincome>2minimumwages(1,50[1.09---2.06])wereindependentrisk factorsfortheintroductionofultra-processedfood.

Conclusion: Uptothe6thmonthoflife,approximately75%ofpreschoolchildrenhadreceived oneormoreultra-processedfoodintheirdiet.In addition,itwasobservedthatthepoorest families,aswellasunfavorableprenatalfactors,wereassociatedwithearlyintroductionof ultra-processedfood.

©2017PublishedbyElsevierEditoraLtda.onbehalfofSociedadeBrasileiradePediatria.Thisis anopenaccessarticleundertheCCBY-NC-NDlicense(http://creativecommons.org/licenses/ by-nc-nd/4.0/).

Pleasecitethisarticleas:Longo-SilvaG,SilveiraJA,MenezesRC,ToloniMH.Ageatintroductionofultra-processedfoodamongpreschool childrenattendingday-carecenters.JPediatr(RioJ).2017;93:508---16.

夽夽StudydevelopedatUniversidadeFederaldeAlagoas(UFAL),FaculdadedeNutric¸ão(FANUT),ProgramadePós-Graduac¸ãoemNutric¸ão, Maceió,AL,Brazil.

Correspondingauthor.

E-mail:giovanalongo@yahoo.com.br(G.Longo-Silva).

http://dx.doi.org/10.1016/j.jped.2016.11.015

(2)

PALAVRAS-CHAVE

Pré-escolar; Sobrepeso; Obesidade; Alimentac¸ão complementar; Alimentos industrializados; Nutric¸ãodacrianc¸a

Idadedeintroduc¸ãodealimentosultraprocessadosentrepré-escolares frequentadoresdecentrosdeeducac¸ãoinfantil

Resumo

Objetivo: Identificaraidadeeosfatoresassociadoscomaintroduc¸ãodealimentos ultrapro-cessados(AUP)naalimentac¸ãodepré-escolares.

Métodos: Estudotransversalrealizadoentremarc¸oejulho/2014com359pré-escolaresde17 a63mesesdeidadematriculadosemcentrosdeeducac¸ãoinfantil.Otempoatéaintroduc¸ão dosAUP(variáveldedesfecho)foidescritopormeiodoestimadordeKaplan-Meiere oteste log-rank utilizado para compararas func¸õesde sobrevida das variáveisindependentes. Por fim,analisou-seos fatoresassociadosaintroduc¸ãode AUPpormeiodemodelomúltiplode riscosproporcionaisdeCox.Osresultadosforamapresentados comohazardratioscomseus respectivosintervalosdeconfianc¸ade95%(HR[IC95%]).

Resultados: Amediana de introduc¸ãodeAUP foide 6meses.Entreo 3◦ eo6mêshouve

um incrementoimportantenaprobabilidade deintroduzirAUPnaalimentac¸ãodascrianc¸as; enquantoaprobabilidadeno3◦mêsvariaentre0,15e0,25,no6mêsavariac¸ãoocorrede0,6

e1,0.NomodelofinalderiscosproporcionaisdeCox,identificamosquegravideznãodesejada (1,32[1,05---1,65]),nãorealizac¸ãodopré-natal(2,50[1,02---6,16])erenda≥2saláriosmínimos (1,50[1,09---2,06])seapresentaramcomoriscosindependentesparaaintroduc¸ãodeAUP. Conclusão: Identificamosqueatéo6◦mêsdevidaaproximadamente75%dospré-escolares

haviamrecebidoumoumaisAUPemsuaalimentac¸ão.Alémdisso,observamosqueasfamílias maispobresbemcomofatorespré-nataisdesfavoráveisseassociaramcomaintroduc¸ãoprecoce deAUP.

©2017PublicadoporElsevierEditoraLtda.emnomedeSociedadeBrasileiradePediatria.Este ´

eumartigoOpenAccesssobumalicenc¸aCCBY-NC-ND(http://creativecommons.org/licenses/ by-nc-nd/4.0/).

Introduction

The first 1000 daysof life,from conception to twoyears ofage,areafundamentalperiodforaninfant’sfullgrowth anddevelopment.Itisrecognizedthatexclusive breastfeed-ing(EBF)untilthesixthmonthoflifeandtheappropriate andtimelyintroductionoffoods1contributetohealth

pro-motion,aswellasphysicalandmentalpotentials,bringing benefits thatare perpetuatednot only inthe short-term, butalsoinadultlife.2

An inadequate diet from early childhood is among the modifiable risk factors for nutritional disorders, with worldwide repercussions in the context of public health:overweight,obesity,associatedchronicdiseases,3,4

and specific nutritional deficiencies,5 among which

iron-deficient anemia, whose overall prevalence is 47.4% amongpreschoolers.5InBrazil, 7.8%ofpreschoolchildren

have excess weight, and the annual percentage increase (1989---2006)ishigherintheNortheastregion(20.6%)than intheothermacro-regions.6

This scenario issubstantially derived fromthe lifestyle change process in contemporary society that have led to changesinthedietarypattern,characterizedbythe signif-icantincreaseintheconsumptionofultra-processedfoods (UPF),whichduetotheirformulationandpresentationtend tobeconsumedinexcessandtoreplacetraditionalfoods.4,7

These foods have high energy density, high levels of freesugars,saturatedandtransfats,sodium,andlow sup-plyof vitaminsandminerals, contributingtotheincrease in overweight and its comorbidities.3,4 Furthermore, they

are characterized by their extensive industrial processing

(de-characterizing the food of origin) and inclusion of food additives.7 Thus, several researchers have tried to

understand the factors that contribute to the early and continuedconsumption of UPF in differentsocioeconomic scenarios,8---11 aiming to subsidize strategies to curb the

trendofuncontrolledUPFconsumption.

Thus,theobjectiveofthisstudywastoidentifytheage andfactorsassociatedwiththetimeofintroductionofUPF inthedietofpreschoolchildrenattendingday-carecenters (DCCs)inMaceió,stateofAlagoas,Brazil.

Methods

Studydesign

Across-sectionalstudyentitled‘‘Nutritionalstatusof chil-dren in publicday-care centersand dietary andnutrition actionsin basic health care: an intersectoral approach’’, conductedin the seventhsanitary district of Maceió,AL, Brazil,whichischaracterizedbyhavingthehighest socio-economicvulnerabilityofthemunicipality.

(3)

The evaluations and interviews were carried out by trainedandsupervisednutritionists,andthedataobtained wereenteredintheEpi-Info7software(CDC---Atlanta,USA) withdoubleindependenttypingandsubsequentvalidation.

Studiedvariables

Theoutcomevariablewasthetimeuntiltheintroductionof theUPFinthechild’sdiet,consideringtheclassification pro-posedbyMonteiroetal.,7obtainedretrospectivelythrough

a structured questionnaire, which was constructed based onthe following foods: bouillon cubes, processed meats, softdrinksandartificialjuices,sandwichandplaincookies,

petit-suisse cheese, industrial food thickeners, industrial baby food, snacks and chips, instant noodles, ice-cream, gelatin,sweets(candy, lollipops,andchocolate)and mar-garine. The time until the ‘‘event’’ was defined as the shortestinterval between birth and the month when one ofthepreviouslylistedUPFwereintroducedintheinfant’s diet.

Regarding the independent variables, those describing sociodemographic characteristics (maternal age, marital status, family income, and access to basic sanitation services), gestational characteristics (planned pregnancy, number of prenatal consultations, parity, and maternity leave), behavioral characteristics (breastfeeding, use of pacifiersandbottlefeeding,complementaryfeeding char-acteristics,maternalperceptionofwhetherthechild’sdiet outsideof theDCC washealthy,andaccesstoinformation on infant feeding), and biological antecedents (presence of anemia [hemoglobin<11mg/dL] and excess weight [Z -scoreof thebody massindex-for-age index>+2D]), which areimportantfactorsinthenutritionalanalysisof popula-tions,especiallyregardingtheassociationoffoodpatterns withthedevelopmentofchildhoodobesity.

Dataanalysis

ThegenerateddatabasewasconvertedtotheStata/IC12.0 format(StataCorp LP,CollegeStation,TX,USA),whereall analyseswereperformed.

ThetimeuntiltheintroductionoftheUPFwasdescribed throughthe Kaplan---Meier estimator, which makes it pos-sibleto identifythe cumulativeconditional probabilityof the‘‘event’’asafunctionofacertaintimeinterval(S(t)).

However,toimprovetheinterpretationoftheanalysesand graphicalvisualizationofthecurves,theestimatorwasused as1−S(t),thatis,theinverseoftheaccumulatedsurvival

functionoraccumulatedfailurefunction.Additionally,due tothelowfrequencyofeventsbetween12and36months (n=10),observationswereright-censoredat12months.

The comparison between the functions of survival according totheselected independentvariables was per-formed using the log-rank test. Finally, a multiple Cox proportionalhazardsmodelwasconstructedfromthe varia-blesthatshowedp<0.20inthelog-ranktest,adjustingthe modelforageatthetimeofthesurveyandgender.Risk pro-portionalityassumptionwasassessedusingtheSchoenfeld test.The stepwise-forward methodwasusedtointroduce thevariablesintothemultiple model,andtheresults are

shownashazardratioswiththeirrespective95%confidence intervals(HR[95%CI]).

Ethicalaspects

ThisstudywassubmittedtoandapprovedbytheResearch Ethics Committee of Universidade Federal de Alagoas (CAAE:18616313.8.0000.5013).

Results

In total,data werecollectedfrom 359preschool children enrolledintheDCCofthesevethdistrictofMaceió,AL.The meanageofthepopulationwas45.4months,witha simi-larfrequencydistributionbetweenthegenders.Amongthe nutritionaldeviationsevaluatedatthetimeofthesurvey, only excess weight washighlighted, witha prevalence of 7.6%(27/355;Table1).

One-thirdofthestudypopulationconsistedoffirstborns, and although thenumber of motherswassmall, allthose whodidnotattendedprenatalcareconsultationsindicated thatthepregnancywasunwanted.Stillinrelationto mater-nal characteristics, 50.3% (180/358) of the mothers had morethaneightyearsof schoolingandapproximately65% (229/282)livedwiththechild’sbiologicalfather(Table1).

Thesocioeconomicstatusandhousingconditionsofthe studypopulationcanbecharacterizedaslowincome,since 86% (304/353)livedwithlessthan twoBrazilian minimum wages(MW)/month,themedianofthehouseholdresidents wasfourindividuals, 75.6%(270/357) receivedsomeform ofgovernmentaid,andhalfofthehouseholds(186/359)did nothaveadequatesewagetreatmentservices(Table1).

Intheoverallanalysis,themediantimetoUPF introduc-tionwassixmonths.However,itisimportanttonotethat betweenthe thirdandthesixthmonthsoflife, thereis a significantincreaseintheprobabilityofintroducingUPFin thechildren’sdiet;whiletheprobabilityinthethirdmonth rangesfrom0.15to0.25,inthesixthmonthitrangesfrom 0.6 to 1.0 (Table 2). Moreover, it was observed that this increase intheprobabilityofUPF introductionin thediet occursmainlyfromthefifthtothesixthmonths.Thisfinding isshowninTable2;regardlessoftheselectedvariable,the mediantimetoUPFintroductionissixmonths,butthe prob-abilityis ∼0.75,thatis,theprobabilityinthefifthmonth is<0.50.Fig.1showstheKaplan---Meiercurvesofvariables associatedwithUPFintroduction.

In the final Cox proportional hazards model, it was observed that unwanted pregnancy (1.32 [1.05---1.65]), absence of prenatal care (2.50 [1.02---6.16]), and income

≥2MW (1.50 [1.09---2.06]) were independent risksfor the early introduction of UPF in thepreschool children’s diet (Table3).

Discussion

(4)

Table1 Individual,maternalandhouseholdcharacteristicsofpre-schoolchildrenattendingday-carecentersinMaceió,AL, Brazil,2014.

Characteristics na ¯

x(SD)or%b Characteristics na ¯x(SD)or%b

Age(months) 358 45.4(9.9) Wasonmaternityleave (%)

359

Gender(%) 359 Yes 25 7.0

Male 193 53.8 No 75 20.9

Female 166 46.2 Unemployed 259 72.1

Birthweight(kg) 329 3.21(0.52) Motherliveswiththe child’sfather(%)

282

WAZatbirth(SD) 329 −0.24(1.14) Yes 229 63.8

HAZatbirth(SD) 277 −0.14(1.52) No(partner) 30 8.4

WAZatsurvey(SD) 353 −0.02(1.15) No(nopartner) 100 27.9

HAZatsurvey(SD) 355 −0.14(1.10) Maternallevelof schooling(%)

358

Shortstature(HAZ<-2SD)(%) 356 3.9 <8years 178 49.7

BAZatsurvey(SD) 355 0.15(1.24) ≥8years 180 50.3

Thinness(BAZ<−2SD) 7 2.0 Familyincome(%) 353

Normalweight(BAZ±2SD) 321 90.4 <2minimumwages 304 86.1

Excessweight(BAZ>+2SD) 27 7.6 ≥2minimumwages 49 13.9

Hemoglobin(mg/dL) 355 11.0(1.38) No.ofindividualsin household

359 4(3---5)b

Hb<11mg/dL 157 44.2 Receivesgovernmentaid (%)

357

Hb≥11mg/dL 198 55.8 Yes 270 75.6

Maternalage(years) 357 28.3(6.75) No 87 24.4

Prenatalconsultations(%) 358 Placeofresidence(%) 359

No 7 2.0 Ownsresidence 163 45.4

Yes 351 98.0 Rented 157 43.7

No.ofprenatalconsultations 345 7(6---8)b Livesfreeofcharge 39 10.9

Plannedpregnancy(%) 357 Trashcollectionservices

(%)

357

Yes 189 52.9 ≤2×/week 50 14.0

No 168 47.1 >2×/week 307 86.0

Firstchild(%) 359 Sewagetreatment

services

359

Yes 115 32.0 Sim 173 48.2

No 244 68.0 No 186 51.8

¯

x,mean;SD,standarddeviation;%,frequency;WAZ,weight-for-ageZ-score;HAZ,height-for-ageZ-score;BAZ,BMI-for-ageZ-score. a Numberofindividualsinthedatabase.

b Median(interquartilerange).

factors for the early introduction of UPF; furthermore,it wasobservedthatthecriticalperiodfortheintroductionof thesefoodsoccurredbetweenthethirdandfifthmonthsof life.

Another importantaspect tobehighlighted is that the presentstudywasthefirsttoanalyzetheintroductionofUPF throughthe Kaplan---Meierestimator andCox proportional hazardsmodel,which,inthiscontext,hadbeenusedonly foranalysisofthepartialortotalinterruptionof breastfeed-ing. Similar approaches were identified in the literature; however, they focused on the time for the introduction ofsupplementaryfeedingasawhole,withoutspecifying a groupoffoodsthatareknowntobedeleterioustohealth, suchastheanalysescarriedoutbyBoudet-Berquieretal.12

Therefore,thepresentstudyobjectivelyidentifiedtheonset ofafoodbehaviorthatisconsideredunhealthy,whichallows theplanningofactionsaimedatchangingthismodifiablerisk factor.

(5)

Table2 Medianandcumulativeprobabilityofthetimeuntiltheintroductionofultraprocessedfoodsamongpreschoolers attendingday-carecentersinMaceió,AL,Brazil,2014.

Variable Category na Median

(months)

ProbabilityofUPFintroduction pb

1month 3months 6months 9months 12months

IntroductionofUPF(global) --- 338 6 0.047 0.240 0.752 0.885 0.991

---Sociodemographic

Maternalage <24years 89 6 0.090 0.315 0.832 0.910 1.0 0.034

≥24years 244 6 0.032 0.215 0.729 0.879 0.988

Maternalschooling <8years 166 6 0.048 0.265 0.747 0.874 0.988 0.706

≥8years 172 6 0.047 0.215 0.756 0.895 0.994

Motherliveswiththe child’sfatherc

Yes 243 6 0.045 0.255 0.757 0.893 0.996 0.479 No 95 6 0.053 0.200 0.737 0.863 0.979

Income <2MW 283 6 0.049 0.217 0.734 0.871 0.990 <0.001

≥2MW 47 4 0.043 0.362 0.872 1.0 1.0

Receivesgovernmentaid Yes 254 6 0.032 0.232 0.756 0.878 0.992 0.533 No 82 6 0.085 0.256 0.744 0.915 1.0

Sewagetreatment services

Yes 163 6 0.049 0.307 0.785 0.902 0.994 0.016 No 175 6 0.046 0.177 0.720 0.869 0.989

Trashcollectionservices Yes 290 6 0.048 0.252 0.769 0.890 0.99 0.140 No 47 6 0.043 0.149 0.638 0.851 1.0

Gestational

Plannedpregnancy Yes 179 6 0.028 0.189 0.678 0.839 0.994 <0.001 No 155 6 0.071 0.295 0.840 0.942 0.994

Prenatalconsultation Yes 329 6 0.048 0.233 0.749 0.885 0.994 0.004

No 6 3 0.000 0.667 1.0 1.0 1.0

Firstchild Yes 108 6 0.046 0.241 0.750 0.889 1.0 0.784 No 230 6 0.048 0.239 0.752 0.883 0.987

Wasonmaternityleave Yesd 269 6 0.045 0.231 0.747 0.877 0.993 0.903

No 69 6 0.058 0.275 0.768 0.913 0.986

Behavioral

Childwaseverbreastfed Yes 316 6 0.041 0.218 0.753 0.896 0.994 0.743 No 22 3 0.136 0.546 0.727 0.727 0.955

TimeofEBF ≤6months 80 5 0.025 0.300 0.825 0.888 1.0 0.066 >6months 235 6 0.047 0.192 0.732 0.902 0.996

Wasbottle-fed Yes 174 6 0.063 0.282 0.793 0.891 0.994 0.023 No 163 6 0.031 0.196 0.712 0.883 0.994

Usedpacifier Yes 65 5 0.077 0.385 0.754 0.846 0.985 0.308 No 272 6 0.040 0.206 0.734 0.897 0.996

Considersdietoutsideof theday-carehealthy

Yes 287 6 0.045 0.230 0.742 0.878 0.993 0.025 No 50 5 0.060 0.300 0.820 0.940 1.0

Foodconsistencye Inadequate 117 6 0.051 0.222 0.829 0.923 1.0 0.187

Adequate 218 6 0.046 0.252 0.720 0.876 1.0 Receivedinformationon

infantfeeding

Yes 143 6 0.028 0.231 0.748 0.930 0.993 0.588 No 194 6 0.062 0.247 0.758 0.856 0.995

Biological

Anemiaf Yes 150 6 0.047 0.240 0.713 0.860 0.980 0.191

No 184 6 0.044 0.239 0.783 0.902 1.0

Excessweightg Yes 26 6 0.115 0.231 0.615 0.846 1.0 0.310

No 308 6 0.039 0.240 0.766 0.890 0.990

MW,minimumwage;UPF,ultraprocessedfood;EBF,exclusivebreastfeeding. aNumberofindividualsinthedatabasewithinformationonUPFconsumption. b Log-ranktest.

c Biological.

d Wasonmaternityleaveorunemployedatthetime.

e Inadequate,pureedorstrained;adequate,mashedwithaforkorthesameastherestofthefamily(withorwithoutpreparation modifications).

(6)

1.00

0.75

0.50

0.25

0.00

0 2 4 6 8 10 12

Probability

1.00

0.75

0.50

0.25

0.00

Probability

1.00

0.75

0.50

0.25

0.00

Probability

1.00

0.75

0.50

0.25

0.00

Probability

1.00

0.75

0.50

0.25

0.00

Probability

1.00

0.75

0.50

0.25

0.00

Probability

Time (months) 0 3 Time (months)6 9 12

0 3 6 9 12

Time (months) 0 3 Time (months)6 9 12

0 3 6 9 12

Time (months)

0 3 6 9 12

Time (months)

0 3 6 9 12

Time (months)

0 3 6 9 12

Time (months)

0 3 6 9 12

Time (months) Planned pregnancy Unplanned pregnancy

Has basic sanitation Does not have basic sanitation

Has basic sanitation Does not have basic sanitation Was never bottle-fed Was bottle-fed

Was never bottle-fed Was bottle-fed Healthy diet∗ Unhealthy diet∗

Healthy diet∗ Unhealthy diet∗

Had prenatal care Did not have prenatal care

Family income≥ 2 SM Family income< 2 SM

0.00 0.00 0.00

Figure1 SurvivalcurvesbytheKaplan---Meier estimatorofvariablesassociatedwiththeintroductionofultraprocessedfoods

amongpreschoolersattendingday-carecentersinMaceió,Alagoas,Brazil,2014.

Table3 SimpleandmultipleanalysesofCoxproportionalhazardsforultraprocessedfoodintroductionamongpreschoolers

attendingday-carecentersinMaceió,AL,Brazil,2014.

Variable Category Simple Multiple

HR 95%CI p HRa 95%CI p

Maternalage <24years 1.24 0.97---1.57 0.091

≥24years 1

Plannedpregnancy No 1.41 1.13---1.75 0.002 1.32 1.05---1.65 0.016

Yes 1 1

Prenatalconsultation No 2.76 1.22---6.22 0.014 2.50 1.02---6.16 0.045

Yes 1 1

Income ≥2MW 1.58 1.16---2.17 0.004 1.50 1.09---2.06 0.014

<2MW 1 1

Sewagetreatmentservices Yes 1.23 0.99---1.53 0.057

No 1

Trashcollection Yes 1.20 0.88---1.63 0.247

No 1

TimeofEBF ≤6months 1.21 0.93---1.56 0.150

>6months 1

Bottle-fed Yes 1.22 0.98---1.51 0.073

No 1

Considersdietoutsideof theday-carehealthy

No 1.32 0.98---1.79 0.071

Yes 1

Foodconsistency Inadequate 1.13 0.90---1.41 0.298

Adequate 1

Anemia No 1.12 0.90---1.39 0.300

Yes 1

(7)

Theconstructionofeatinghabitsbeginsinthefirsttwo yearsoflife,withaprofoundimpactinsubsequentyears, sinceitisduringthisperiodthatchildrendiscoverthe sen-sory(texture,taste,andsmell),nutritional(self-regulation ofconsumptionbasedontheenergydensityoffoods),and behavioralcharacteristics (definition of timeand environ-ment)relatedtofoodsandtheeatinghabits.13Itiscurrently

aconsensusthatUPFshouldbeavoidedinthefirstyearsof lifeandconsumedwithrestrictions inallother phases,as theycontributetoasignificantincreaseinthedailyenergy intakeduetoitsexcessivecontentofrefinedsugarsand sat-uratedfat;additionally,theyhavehighsodiumdensityand foodadditivesandreducedcontentsofmicronutrientsand dietaryfiber.14

Theincreasedandchronicconsumptionofthisgroupof foods has clinical and biochemical consequences to chil-dren’shealthintheshortterm,suchasobesityandchanges in the lipoprotein profile, representing an early risk for thedevelopmentofchronicnon-communicablediseases.15A

studybyPanetal.11withNorth-Americanchildren

followed-upfromthelastgestationaltrimesteruntil6yearsofage, demonstratedthatthechild’schanceofbecomingobesewas 92%higherinthosewhoconsumedsugarydrinksinthefirst semesteroflife,when comparedwiththosewhodidnot. Inthesame perspective,Rauberetal.15 demonstratedan

associationbetweentheconsumptionofthesefoodsandan increaseintotalcholesterolandLDLlevelsfrompreschool toschoolage.

Another aspect that cannot be neglected in this sce-nario is the negative impact on culture (devaluation of local food practices and of the relationship of the popu-lationwithfood),sociallife(lossofcommensalityaspects andsharingof meals,sincetheproducts areintended for individualconsumptionandcanbeconsumedinanyplace, dispensingwiththe need todedicatea periodtolivethe socialexperienceoffood),andtheenvironment(threaton the sustainabilityof theplanet, fromthe production and disposalof thepackaging,throughtheextensive monocul-tures dependent on transgenic seeds, the aggressive use ofagrochemicals,chemicalfertilizers,andwater,to logis-tics distribution channels, increasing pollution levels due to the scarcity of highly energy-efficient transportation systems).15,16

Althoughthe harmsassociatedwithsucheating behav-iorareclear,thissituationdoesnotappeartoberesolving inBrazil, aswellasin therest of theworld, sinceglobal trendsindicatetheincreaseofUPFconsumption,especially amongchildren,indifferentgeographicandsocioeconomic scenarios.9---12

In an ecological analysis, Moodie et al.17 accumulated

trendsregardingtheacquisitionofUPFincountriesof dif-ferenteconomicstatuses,showinganannualgrowthofthe consumedpercapitavolumeequivalentto2.0%inlow-and middle-incomecountriesand1.4%inhigh-incomecountries between 1997and 2009; asa resultof this increase, 75% oftheworld’sfoodsalescompriseprocessedorUPF,1/3of whichiscontrolledbytransnationalcorporations.InBrazil, themaincompanies/conglomeratesinvolvedinthe produc-tionandsaleofthesefoods,includingthoseforchildren,are Nestlé,BrazilFoods,KraftFoods,Unilever,andDanone.17

Aimingtoaddressthissituation,theliteraturehighlights theintroductionoftaxesonunhealthyfoodsandsubsidies

onfoodsconsideredtobehealthyasapotentialstrategy.18

Forinstance, Hungary hasimposed atax onfoods high in sugar,sodiumorcaffeine;France,whichimposedataxon softdrinks,orFinland,onconfectioneryproducts.19Mexico,

which hasthe second-highestobesity rateworldwide,has introducedtaxesonsweetenedbeveragesandfoodsrichin saturatedfat,sugar,andsodium.20

Inaddition,itisnecessarytofocusoneffortstoincrease the availability of fruits and vegetables, withsale points locatedinsmallandlargetowns,includingperipheral neigh-borhoods, which favors the more frequent purchase of perishablefoods.21 InBrazil,therearenospecialtaxation

orpricingschemesonfoodsthataimtodiscourageUPF con-sumption.

Therefore, considering the biological, social, and economic consequences of the early and continuous con-sumption of UPF, it is urgent that health professionals involved in primary care take action in relation to this problem,addingdietaryinformationtothechildcare guide-linesprovidedduringtheprenatalcareandthepuerperium periods.1,22Itisimportanttonotethat,withinthiscontext,

thepotentialbeneficialeffectofbreastfeedingon maintain-ingahealthyweightgainandpreventingexcessweightcan bereducedinthepresenceofunhealthyeatingpatterns.6,23

Among the variables associated with the introduc-tion of UPF, those related to prenatal care access, planned/unplanned pregnancy, and family income were identifiedasmostrelevant.

Althoughtherehasbeenanincreaseinprenatalcare cov-erageinBrazilsincethe1990s,24inequalitiesintheaccess

tohealthcareservicespersist,andwomenwithlowerlevels ofeducationandincome,aswellasthoselivingintheNorth andNortheastregionshave lessaccesstoprenatalcare.25

As aconsequence, dataonabirthcohort fromRecôncavo Baianoshowedthat,intheabsenceofprenatalcare,there wasa173%increaseintheriskofshorterEBFdurationand 38%intheriskofbreastfeedingdiscontinuation.

Regarding the socioeconomic status, similar findings were identifiedin acohort in Diamantina,in the state of MinasGerais,whichconcludedthatthechildrenofmothers with higher per capita income (>1/2 MW) had twice the chance, when compared to those with lower income, of consumingunhealthyfoodsmorefrequently.26Nonetheless,

relativization is worthwhile, considering the geographic and social contexts of the role of higher income in the consumption of unhealthy foods, since in the comparison between high and low incomefamilies, UPF consumption wassignificantlyhigheramongthewealthiestindividuals.23

Therefore,withingroupswithlowerpurchasingpower,the highertheincome,thegreatertheconsumption;however, thisstatementisnottrueinthecomparisonbetweenvery differenteconomicclasses.

Theinterpretationanduseoftheresultsshouldbemade withcautionandconsideringthemultifactorialnatureofthe dietarybehaviorformationprocess---whichreflects inthe magnitudeoftheassociationsobservedinthemultipleCox model.Inthecaseoftheassociationbetweenanunwanted pregnancyandthe earlyintroduction ofUPF,thisvariable was a negative factor for health outcomes,27,28 which in

(8)

accountsfor themother’sinitialintention,andnottothe maintenanceof thispositionin relationtothepregnancy. Themothermightnothavewantedthepregnancy;however, thisdoesnotimplyinanegativereactiontowardthisnew conditionbyherselfandthefamily.

Therefore,withinascenarioofhighsocioeconomic vul-nerability,thepresentstudysuggeststhataccesstohealth careservices(prenatalconsultations)hasanimportantrole in the delay of the introduction of UPF, which may be directlyrelatedtotheincreaseinthedurationoftheEBF. Additionally, the 95% CI variability may provide another interpretationofthephenomenon,indicatingtheeffectnot onlyoftheaccesstoprenatalcare,butalsoofitsquality. Thus,theauthorsemphasizetherelevanceofthehumanized contactbetweenhealthcareprofessionalsandthepregnant woman,identifyingherperceptionaboutthepregnancy,to providecomprehensivecare.

Finally,inacase-controlstudycarriedoutinMaceió,it wasobservedthatchildrenwhosemotherswerefollowedat the BasicHealthUnitsof the BrazilianUnified Healthcare Systemhadasignificantlyhighermedianscoreof industri-alizedfoodconsumptionthanthosefollowed-upinprivate clinics. However, this difference was not necessarily due tothe quality of the service provided (whose data is not available),butprobablyduetothesocialgapfoundinthe municipality,reflectedinthedifferencesbetweenthe lev-elsof educationof thoseresponsiblefor thechild, family income,andvulnerabilitytomediainfluence.29

Considering theobjectives of the present study,it can beconcludedthat themedian timeuntiltheintroduction of UPF was sixmonths; however, when theyreached this age,∼75%ofpreschoolershadalreadyreceivedoneormore UPFs in their diets. Additionally, it was observed that an unplanned pregnancy, prenatal consultations, and family income<2MWswereassociatedwiththeearlyintroduction ofUPFinthedietofpreschoolersattendingDCCsinMaceió. Therefore,thepresentresultsareinlinewiththe increas-ingbodyofevidencethatindicatestheprenatalperiodas anappropriatemomenttocarryoutnutritionalanddietary education strategies, aiming not only to prolong breast-feedingtime,but alsotointroducehealthy andadequate complementaryfeeding.

Funding

Fundac¸ão de Amparo à Pesquisa do Estado de Alagoas (FAPEAL),Processno.60030000692/2013.

Conflicts

of

interest

Theauthorsdeclarenoconflictsofinterest.

References

1.Brasil.Ministério da Saúde. Secretaria de Atenc¸ão à Saúde. Departamentode Atenc¸ão Básica. Saúde da crianc¸a: aleita-mento materno e alimentac¸ão complementar (Cadernos de Atenc¸ãoBásica;n.23).Brasília(DF):MinistériodaSaúde;2015, v.1.

2.ShrimptonR.Globalpolicyandprogrammeguidanceon mater-nal nutrition: what exists, the mechanisms for providing

it, and how to improve them? Paediatr Perinat Epidemiol. 2012;26:315---25.

3.International food policy research institute (IFPRI). Global nutritionreport 2014:actions and accountability toadvance nutritionandsustainabledevelopment.Washington,DC,USA: InternationalFoodPolicyResearchInstitute;2014.

4.PopkinBM,AdairLS,WenNgS.Nowandthen:theglobal nutri-tiontransition:thepandemicofobesityindevelopingcountries. NutrRev.2012;70:3---21.

5.World Health Organization (WHO). Worldwide prevalence of anaemia 1993---2005: WHO Global database on anaemia. Geneva:WHO;2008.

6.Silveira JA, Colugnati FA, Cocetti M, Taddei JA. Secular trendsand factors associatedwithoverweightamong Brazil-ianpreschoolchildren:PNSN-1989,PNDS-1996,and2006/07.J Pediatr(RioJ).2014;90:258---66.

7.MonteiroCA,LevyRB,ClaroRM,CastroIR,CannonG.Anew classificationoffoodsbasedontheextentandpurposeoftheir processing.CadSaudePublica.2010;26:2039---49.

8.Longo-SilvaG,ToloniMH,MenezesRC,AsakuraL,OliveiraMA, TaddeiJA.Ultra-processedfoods:consumptionamongchildren atday-carecentersandtheirclassificationaccordingtotraffic lightlabellingsystem.RevNutr.2015;28:543---53.

9.Longo-SilvaG,ToloniMH,MenezesRC,AsakuraL,OliveiraMA, TaddeiJA. Introductionofsoftdrinksand processedjuicein thedietofinfantsattendingpublicdaycarecenters.RevPaul Pediatr.2015;33:40---7.

10.HayterAK,DraperAK,OhlyHR,ReesGA,PettingerC,McGloneP, etal.Aqualitativestudyexploringparentalaccountsoffeeding pre-schoolchildrenintwolow-incomepopulationsintheUK. MaternChildNutr.2015;11:371---84.

11.Pan L, Li R, Park S, GaluskaDA, Sherry B, Freedman DS. A longitudinalanalysisofsugar-sweetenedbeverageintake dur-inginfancyandobesityatsixyearsold.Pediatrics.2014;134: 29---35.

12.Boudet-Berquier J, Salanave B, de Launay C, Castetbon K. Introductionofcomplementary foodswithrespectto French guidelines:descriptionandassociatedsocio-economicfactors inanationwidebirthcohort(Epifanesurvey).MaternChildNutr. 2016[Epubaheadofprint].

13.NicklausS.Theroleoffoodexperiencesduringearlychildhood infoodpleasurelearning.Appetite.2016;104:3---9.

14.BrazilMinistryofHealthofBrazil.SecretariatofHealthCare. Primary Health Care Department. Dietary guidelines for the Brazilian population; translated by Carlos Augusto Monteiro ---Brasília:MinistryofHealthofBrazil;2014. Availablefrom: http://189.28.128.100/dab/docs/portaldab/publicacoes/guia alimentarpopulacaoingles.pdf[accessed25.08.16].

15.RauberF,CampagnoloPD,HoffmanDJ,VitoloMR.Consumption ofultra-processedfoodproductsand itseffectsonchildren’s lipidprofiles:alongitudinalstudy.NutrMetabCardiovascDis. 2015;25:116---22.

16.Poti JM, Mendez MA, Ng SW, Popkin BM. Is the degree of food processingand conveniencelinkedwith thenutritional qualityoffoodspurchasedbyUS households?AmJClinNutr. 2015;101:1251---62.

17.MoodieR,StucklerD,MonteiroC,Sheron N,NealB, Thama-rangsiT,et al.Profitsandpandemics:preventionofharmful effects of tobacco, alcohol, and ultra-processed food and drinkindustriesSeries.Non-CommunicableDiseases4.Lancet. 2013;381:670---9.

18.ThowAM,DownsS,JanS.Asystematicreviewofthe effective-nessoffoodtaxesandsubsidiestoimprovediets:understanding therecentevidence.NutrRev.2014;72:551---65.

(9)

20.Organisation for Economic Co-operation and Development (OECD). Obesity update; 2014. Available from: http:// www.oecd.org/els/health-systems/Obesity-Update-2014.pdf [accessed21.07.16].

21.VedovatoGM,TrudeAC,KharmatsAY,MartinsPA.Degreeoffood processingofhouseholdacquisitionpatternsinaBrazilianurban areaisrelatedtofoodbuyingpreferencesandperceivedfood environment.Appetite.2015;87:296---302.

22.Brasil.MinistériodaSaúde.PortariaNo 1459,de24dejunho de 2011. Institui, no âmbito do Sistema Único de Saúde a Rede Cegonha. Available from: http://bvsms.saude.gov. br/bvs/saudelegis/gm/2011/prt1459 24 062011.html 23.Silveira JA, ColugnatiFA, Poblacion AP,Taddei JA. The role

ofexclusivebreastfeedingandsugar-sweetenedbeverage con-sumption on preschool children’s weightgain. Pediatr Obes. 2015;10:91---7.

24.VictoraCG,AquinoEM,LealMC,MonteiroCA,BarrosFC, Szwar-cwald CL. Maternal and child health in Brazil:progress and challenges.Lancet.2011;377:1863---76.

25.DominguesRM,ViellasEF,DiasMA,TorresJ,Theme-FilhaMM, GamaSG, etal.Adequac¸ão daassistênciapré-natalsegundo ascaracterísticasmaternasnoBrasil.RevPanamSaludPublica. 2015;37:140---7.

26.NobreLN,LamounierJA,FranceschiniSC.Preschoolchildren dietary patterns and associated factors. J Pediatr (Rio J). 2012;88:129---36.

27.Kost K, Lindberg L. Pregnancy intentions, maternal behav-iors, and infant health: investigating relationships with new measures and propensity score analysis. Demography. 2015;52:83---111.

28.BodenJM,FergussonDM,HorwoodLJ.Outcomesforchildren and familiesfollowing unplannedpregnancy: findings from a longitudinalbirthcohort.ChildIndRes.2015;8:389---402. 29.SoteroAM,CabralPC,SilvaGA.Fatoressocioeconômicos,

Imagem

Table 1 Individual, maternal and household characteristics of pre-school children attending day-care centers in Maceió, AL, Brazil, 2014.
Table 2 Median and cumulative probability of the time until the introduction of ultra processed foods among preschoolers attending day-care centers in Maceió, AL, Brazil, 2014.
Figure 1 Survival curves by the Kaplan---Meier estimator of variables associated with the introduction of ultra processed foods among preschoolers attending day-care centers in Maceió, Alagoas, Brazil, 2014.

Referências

Documentos relacionados

Independent variables were: socioeconomic characteristics (marital status, education, monthly household income, paid job, economic status); personal characteristics (gender,

Explanatory variables included in this analysis were: sociodemographic data (e.g. age, gender, skin color, marital status, schooling, family income, living situation, history

Non-invasive neurologic monitoring with techniques such as amplitude-integrated electroen- cephalography (aEEG) and near-infrared spectroscopy (NIRS) allow screening and assessment

Fatores de riscos associados aos dois transtornos: predominância do gênero feminino, idade, aprovac ¸ões pelos pares e problemas afetivos para o uso de álcool, situac ¸ões

In the study that investigated social anxiety, general- ized anxiety, and substance use (cigarettes and alcohol) in the early adolescence phase, it was observed that for the

Considerando simultaneamente o efeito da depressão e ansiedade materna no período pré-natal, foi encontrado um efeito independente significativo da ansiedade materna pré-natal sobre

This study aimed to analyze simultaneously the effects of maternal prenatal depression and anxiety on (1) neonatal growth outcomes, and (2), on fetal-neonatal growth trajectories,

Assim, a utilidade do aEEG precoce na avaliac ¸ão da gravidade da lesão cerebral e dos resultados adversos sobre neonatos prematuros foi investi- gada como uma ferramenta para avaliar