• Nenhum resultado encontrado

Rev. Bras. Reumatol. vol.57 número5

N/A
N/A
Protected

Academic year: 2018

Share "Rev. Bras. Reumatol. vol.57 número5"

Copied!
7
0
0

Texto

(1)

w w w . r e u m a t o l o g i a . c o m . b r

REVISTA

BRASILEIRA

DE

REUMATOLOGIA

Original

article

Effect

of

multiparity

on

bone

mineral

density,

evaluated

with

bone

turnover

markers

Hasan

Terzi

a,∗

,

Rabia

Terzi

b

,

Ebru

Kale

c

,

Ahmet

Kale

a

aKocaeliDerinceEducationandResearchHospital,DepartmentofObstetricsandGynecology,Kocaeli,Turkey

bKocaeliDerinceEducationandResearchHospital,DepartmentofPhysicalMedicineandRehabilitation,Kocaeli,Turkey cKocaeliDerinceEducationandResearchHospital,DepartmentofBiochemistry,Kocaeli,Turkey

a

r

t

i

c

l

e

i

n

f

o

Articlehistory:

Received22January2015 Accepted15July2015

Availableonline9October2015

Keywords:

Markersofboneturn-over Multiparity

Osteoporosis

a

b

s

t

r

a

c

t

Objective:Ouraimwastoinvestigatetheeffectofparityonosteoporosisbyevaluatingbone mineraldensity,markersofboneturn-overandotherfactorsthatareeffectivein osteoporo-sisinmultiparous(fivedeliveriesormore)andnulliparouswomeninthepost-menopausal period.

Methods:A total of 91 multiparous (five deliveries or more) and 31 nulliparous post-menopausal women were included in this study. All patients were interviewed on sociodemographiccharacteristics,gynecologichistory,personalhabits,levelsofphysical activity,andlife-longintakeofcalcium.Bonemineraldensitywasmeasuredatlumbar (L1–4)andfemoralneckregionswithDexa.

Results:Themeanageofmultiparouswomenwas58.79±7.85years,andthemeanageof nulliparouswomenwas55.84±7.51.ThefemoralBMDwas0.94±0.16andlumbarBMD 1.01±0.16inmultiparouswomen,femoralBMDwas0.99±0.16andlumbarBMD1.07±0.14 innulliparouswomen.Therewerenostatisticaldifferencesbetweenthefemoraland lum-barTscoresandBMDvaluesofthetwogroups.LumbarTscoresandlumbarBMDshoweda decreasewithincreasingtotaldurationofbreast-feedinginmultiparouswomen.The inde-pendentriskfactorsforosteoporosisintheregressionanalysisofmultiparouswomenwere foundtobethedurationofmenopauseandbodyweightof65kgandless.

Conclusion: Thereisnodifferencebetweenthebonemineraldensitiesofmultiparousand nulliparouswomen.Femaleswithlowerbody-weightandlongerdurationofmenopause shouldbefollowed-upmorecarefullyfordevelopmentofosteoporosis.

©2015ElsevierEditoraLtda.ThisisanopenaccessarticleundertheCCBY-NC-ND license(http://creativecommons.org/licenses/by-nc-nd/4.0/).

Correspondingauthor.

E-mail:drhterzi@yahoo.com(H.Terzi).

http://dx.doi.org/10.1016/j.rbre.2015.09.002

2255-5021/©2015ElsevierEditoraLtda.ThisisanopenaccessarticleundertheCCBY-NC-NDlicense(http://creativecommons.org/

(2)

Efeito

da

multiparidade

sobre

a

densidade

mineral

óssea,

avaliada

por

marcadores

de

remodelac¸ão

óssea

Palavras-chave:

Marcadoresderemodelac¸ão óssea

Multiparidade Osteoporose

r

e

s

u

m

o

Objetivo: Investigar oefeito daparidadesobreaosteoporosepor meiodaavaliac¸ão da densidademineralóssea,marcadoresderemodelac¸ãoósseaeoutrosfatoreseficazesna avaliac¸ão daosteoporose em multíparas(cincopartosoumais)e nulíparasnoperíodo pós-menopausa.

Métodos: Foramincluídasnesteestudo91multíparas(cincopartosoumais)e31nulíparas, todasnapós-menopausa.Aspacientesforamentrevistadasparaadeterminac¸ãodas car-acterísticassociodemográficas,históriaginecológica,hábitospessoais,níveisdeatividade físicaeingestãodecálcioaolongodavida.Adensidademineralósseafoimedidanaregião lombar(L1-4)edocolofemoralcomaDexa.

Resultados: A média de idade das multíparas e nulíparas foi de 58,79±7,85 anos e 55,84±7,51,respectivamente.Nasmultíparas,aDMOfemoralelombarfoide0,94±0,16 e1,01±0,16,respectivamente;nasnulíparas,aDMOfemoralelombarfoide0,99±0,16e 1,07±0,14,respectivamente.Nãohouvediferenc¸aestatisticamentesignificativaentreos T-escoresfemoralelombareosvaloresdeDMOdosdoisgrupos.OT-escoreeaDMOlombar mostraramumadiminuic¸ãoemcasodeaumentonadurac¸ãototaldalactac¸ãomaterna emmultíparas.Encontrou-sequeosfatoresderiscoindependentesparaaosteoporosena análisederegressãodasmultíparassãoadurac¸ãodamenopausaeopesocorporalmenor ouiguala65kg.

Conclusão: Nãohádiferenc¸aentreadensidademineralósseademultíparasenulíparas.As mulherescommenorpesocorporalemaiordurac¸ãodamenopausadevemser acompan-hadascommaisatenc¸ãoparadeterminarsehádesenvolvimentodeosteoporose.

©2015ElsevierEditoraLtda.Este ´eumartigoOpenAccesssobumalicenc¸aCC BY-NC-ND(http://creativecommons.org/licenses/by-nc-nd/4.0/).

Introduction

Osteoporosisisametabolicbonedisordercharacterizedbya decreaseinbonestrengthandanincreaseinbonefragility.1

Genetic,hormonalandenvironmentalfactors contributeto osteoporosisdevelopment.2–4Pregnancyandlactationperiods

areprocesseswhichhaveaneffectonthecalciumandbone metabolismofthemother.ABMDlossof2–9%wasreported inthepostpartumperiod.5Longitudinalstudieshaveshown

thattheselossesarereversibleinespeciallythewomenfrom developedcountries.6Ontheotherhand,clinicalentitiessuch

aspregnancy-andlactation-associatedosteoporosis,7

osteo-porosisofthehipmaydevelopinthepost-partumperiodin somepatients,whichmaybeacauseofseriousmorbidity.8

Theeffectsofmultiparityonthebonemineraldensityinthe post-menopausalperiodarestillcontroversial.

Whilesomeresearchers reportanabsence ofapositive ornegativeeffectofparityonbonemineraldensity,9,10there

areotherswhohavereportedapositiveeffect11oranegative

effectonbonemineraldensity.12,13 Increaseinbodyweight

duringpregnancy, increasingestrogenhormoneand multi-vitaminsupplementtakenduringpregnancyarethoughtto havepositive effectson BMD.14 Onthe other hand,

inabil-itytocompensatethe calciumtransferfromthemother to thebaby duringpregnancyand lactationwithdietin espe-ciallypopulationswithlowersocioeconomicstatusisthought toexertanegativeeffectonBMD.15 Turkeyisadeveloping

country,wheremultiparityisquiteprevalent.Ouraimwasto investigatetheeffectsofparityonosteoporosis,byevaluating

bonemineraldensity,markersofboneturnover,ageatfirst pregnancy,durationoflactationandotherfactorsassociated withosteoporosisinmultiparous(fiveormoredeliveries)and nulliparouswomeninthepostmenopausalperiod.

Materials

and

methods

This prospective study was conducted in the Department of Obstetrics and Gynecology, and Department of Physical MedicineandRehabilitationatKocaeliDerinceEducationand Research Hospital. A total of 327 postmenopausal women with five or moredeliveries or who had never givenbirth wereofferedparticipationinthisstudyamongfemalepatients who were admittedat our institution. Ofthose, 124 post-menopausalpatientsrefusedtoparticipateinthestudy,and 81postmenopausalwomenwereexcludedduetoexclusion criteria.Atotalof91postmenopausalwomenwith≥5 deliv-eriesand31womenwhohadnevergivenbirthwereincluded. Dataweregatheredbypersonalinterviewsafterthepatients were informed about the study and their consents were obtained.Thestudyprotocolwasperformedaccordingtothe HelsinkiCommitteerequirements andwasapprovedbythe institutionalreviewboard ofKocaeli University(KOUKAEK 2012/44).

(3)

osteoporosis(steroids, thiazides, anti-dyslipidemic medica-tions,warfarin,chemotherapy),thosethat were treatedfor osteoporosisbefore,patientswhowereimmobilizedfor pro-longedperiodsof time,and those that had used hormone replacementwereexcluded.

Sociodemographicdataofallpatientswererecorded.Their bodymassindiceswerecalculated.Smokingandalcohol con-sumption,familyhistoriesofosteoporosisandfracture,and gynecologicpersonalhistorieswereasked.Theageat menar-che,ageatfirstdelivery,durationofmenopause,totalnumber ofchildren, number ofpregnancies, and duration of lacta-tionwererecorded.Thelactationdurationforeachchildwas separately recorded, and the durations of all childrenof a patientwereaddedtocalculatethetotaldurationoflactation. Clothingstylesofthewomenwerecategorizedasmodernor conventional(i.e.coveringallthebody exceptthe faceand hands).Theirintakeofcalciumandlevelofphysicalactivity werequestionedaccordingtoEuropeanVertebral Osteoporo-sisStudy(EVOS)questionnaire.16,17Thetotalphysicalactivity

scoreandtotallifelongcalciumintakewerecalculated.The totalactivityscorewascalculatedasfollows:thedurationof walksoutsidehome(scaleof4points;0:none,1:lessthanhalf anhour,2:1/2–1h,3:morethan1h),physicalactivitylevelsfor youngadultandadulthoodperiods(scaleof4points;1:mild, 2:moderate,3:intensive,4:veryintensive)andfrequencyof participatinginsportiveactivitiesinyoungadultand adult-hoodperiods(scaleof5points;0:none,1:sometimes,2:less than1hperweek,3:1–2hperweek,4:morethan1hperweek) (maximaltotalactivityscore:19points).Totallifelongintake ofcalciumscorewascalculatedbyaddingconsumptionsof milkanddairyproductsinchildhoodandadulthoodperiods (evaluationsystemof4points;1:less thanonceaweek,2: everyweek,3:everyday,4:morethanonceaday).

Bone

marker

measurements

and

laboratory

testing

Afastingbloodspecimenwasdrawnfromeachsubject.Blood samples were collected between 8:00a.m. and 10:30a.m., and parathyroid hormone (PTH), thyroid stimulating hor-mone(TSH),calcium,andphosphoruslevelsweremeasured by automated standard methods. Plasma osteocalcin and beta-CrossLaps(␤-CTx)weremeasuredwiththe electrochemi-luminescence method using the Cobas® (Roche, Germany) kitintheCobase601® (Roche,Germany)analyzer.TheIDS® bone-specific alkaline phosphatase (BS.ALP) (Immunodiag-nosticSystemsLtd.,UK)wasstudiedusingtheenzymelinked immunosorbentassay(ELISA)kitintheBioTek®ELISAreader (BioTekInc.,USA).Additionally,25-hydroxy-vitaminD3 (vita-min D) was chromatographically measured using the D3 Waters® UPLC/MS/MS device (Roche, UK).Hemoglobin A1c levelsweremeasuredbyhigh-performanceliquid chromatog-raphy(HPLC).

Bone

mineral

density

measurement

Bonemineraldensityatthelumbarspineandfemoralneck weremeasuredbydualenergyX-rayabsorptiometry(Lunar

pro).LumbarspineBMDwasdefinedasthemeanoflumbar vertebrae1–4.

Statistical

analysis

Number Cruncher Statistical System (NCSS) 2007 & Power Analysis and Sample Size (PASS) 2008 Statistical Software (Utah, USA) was used forthe statistical analysis. Descrip-tivestatisticalmethods(mean,standarddeviation,median, frequency,rate,minimum,maximum)aswellasStudent’st testforcomparisonoftwogroupswithnormaldistribution and Mann–Whitney Utest was usedin the comparisonof groupswithoutanormaldistribution.Fisher–Freeman–Halton test, Fisher’s exact test and Yates’ continuity correction test (Yates correctedchi-square) were usedinthe compar-isonofqualitativedata. Spearmancorrelationanalysiswas usedintheevaluationofassociationsbetweenparameters. The effects of risk factors on osteoporosis were evaluated with logistic regression analysis (backward) as multivari-ate analysis.Significancelevelsofp<0.01 andp<0.05were used.

Results

Themeanageofmultiparouswomenwas58.79±7.85,while themeanageofnulliparouswomenwas55.84±7.51.There were no statistically significant differences between these twogroupsintermsofage,familyhistoryoffractures, fam-ilyhistoryofosteoporosis,smokingoralcoholconsumption, clothingstyle,totalintakeofcalcium,physicalactivityscore, duration ofmenopause,andageatmenopause.TheBMIof multiparouswomen was31.33±6.12,and theBMIof nulli-parouswomenwas27.16±2.70.ThedifferencebetweenBMI valueswasstatisticallysignificant(Table1).Themeanparity ofmultiparouswomenwas6.04±1.80(5–13),theirmeanage atfirstdelivery18.85±2.43,andmeanageatlastdeliverywas 35.25±3.22.

Therewasnosignificantdifferencebetweencalcium,ALP, TSH,BS.ALP,magnesium,osteocalcinand CTXlevelsofthe twogroups(p>0.05).ThephosphorusandPTHlevelsof mul-tiparouswomen were significantlyhigher than nulliparous women(p=0.002;p=0.001;p<0.01).The25(OH)vitaminD3 levelsofmultiparouswomenwerestatisticallysignificantly lower(p=0.005;p<0.01)(Table2).

ThefemoralBMDofmultiparouswomenwas0.94±0.16 andlumbarBMD1.01±0.16,whilefemoralBMDofnulliparous women was 0.99±0.16 and lumbar BMD 1.07±0.14. There were no statisticallysignificant differences between the T scoreL1–4andBMDandTscorefemurandBMDlevels(p>0.05)

(Table3).

(4)

Table1–Sociodemographicandclinicalfeaturesofpostmenopausalmultiparouswomenandnulliparouswomen.

≥5delivery Nodelivery p

(n=91) (n=31)

Mean Mean

Age(year) 58.79±7.85 55.84±7.51 0.070a

BMI(kg/cm2) 31.33±6.12 27.16±2.70 0.001a,b

Totallifelongintakeofcalciumscore 3.68±1.44 4.03±1.43 0.130a

Totalphysicalactivityscore 9.1±3.74 9.8±2.72 0.090a

Ageatmenarche(year) 13.69±1.38 13.32±1.45 0.210a

Menopauseage(year) 48.14±5.75 49.37±5.32 0.110a

Durationofmenopause;(year)(Median) 9.74±9.09(11) 8.18±6.20(3) 0.080c Familyhistories

offracture

No 82(%90.1) 28(%90.3) 1.000d

Yes 9(%9.9) 3(%9.7)

Familyhistories ofosteoporosis

No 70(%76.9) 28(%90.3) 0.174e

Yes 21(%23.1) 3(%9.7)

Smoking consumption

No 77(%84.6) 24(%77.5) 0.110d

Yes 14(%15.4) 7(%22.5)

Alcohol consumption

No 89(%97.8) 31(%100) 1.000d

Yes 2(%2.2) 0(%0)

Clothing styles

Conventional 86(%94.5) 29(%93.6) 0.240d

Modern 5(%5.5) 2(%6.4)

a Student’sttest.

b p<0.01.

c Mann–WhitneyUtest.

dFisher’sexacttest.

e Yates’continuitycorrectiontest.

Table2–Thecomparisonoflaboratoryvaluesbetweengroups.

≥5delivery Nodelivery p

(n=91) (n=31)

Mean±SD Mean±SD

Calcium 9.43±0.44 9.37±0.30 0.430a

Phosphorus 3.45±0.41 3.18±0.41 0.002a,b

Magnesium 2.18±0.28 2.08±0.16 0.073a

Alkalinephosphatase(Median) 82.65±31.79(78) 73.73±24.96(71) 0.361c Parathyroidhormone(Median) 75.72±34.09(74) 58.22±27.81(49) 0.001b,c Thyroidstimulatinghormone(Median) 1.77±1.04(1.6) 1.76±0.79(1.8) 0.769c Bone-specificalkalinephosphatase(Median) 22.38±19.35(8) 19.24±5.82(10) 0.724c

Osteocalcin(Median) 21.75±10.66(20.9) 21.21±5.62(21.1) 0.637c

VitaminD3(Median) 22.44±17.64(17.6) 31.89±19.88(24.1) 0.005b,c CTx(Median) 382.27±188.69(351.0) 409.20±121.97(390.5) 0.177c

a Student’sttest.

b p<0.01.

c Mann–WhitneyUtest.

Table3–Comparisonofbonemineraldensity. ≥5delivery Nodelivery p

(n=91) (n=31) Mean±SD Mean±SD

TscoreL1–4

(Median)

−1.48±1.28(−1.6) −1.03±1.04(−1.2) 0.057a

BMDscore L1–4

(Median)

1.01±0.16(1.0) 1.07±0.14(1.0) 0.052a

Tscorefemur

(Median)

−0.66±1.05(−0.8) −0.37±0.92(−0.4) 0.120a

BMDscore femur

(Median)

0.94±0.16(0.9) 0.99±0.16(1.0) 0.098a

a Mann–WhitneyUtest.

There werenostatisticallysignificantassociationsbetween thedurationsoflactationandTscoreFemur,andBMDscore Femurmeasurements(p>0.05)(Fig.1).

(5)

2

0

–2

–4

0 100 200 300 400 500

Duration of breastfeeding (month)

T L1-L4 score

L1-L4 BMD

T L1-L4 score

L1-L4 BMD

Fig.1–Therelationshipbetweendurationofbreastfeeding andBMD.

Age,bodyweight,durationofmenopause,PTHandvitamin D3levelsthathaveaneffectonosteoporosisinmultiparous womenwereevaluatedwithlogisticregressionanalysis (back-ward).Themodelforriskfactorsforosteoporosisthatwere createdafterfourstepsisshowninTable5.Riskfactorsfor osteoporosissuchasbodyweightanddurationofmenopause areseentocreateasignificantmodel.Theexplanation coef-ficientofthemodelis78%,whichisagoodlevel.According tothemodel,bodyweightbelow65kgincreaseosteoporosis 3321times(95%CI:1.243–8.872).Anunitincreaseinthe dura-tionofmenopauseincreasetheriskofosteoporosis1108times (95%CI:1.028–1.194).AlthoughthelevelofvitaminD3didnot reachstatisticalsignificanceinthismodel,ithadaneffecton osteoporosisthatisverynearsignificance(p=0.056;p>0.05).

Discussion

Astatisticallysignificant differencewasnotfoundbetween postmenopausal multiparous and nulliparous women in termsoffemoralandlumbarTscoresandBMDscores.Asthe totaldurationoflactationincreases,lumbarTscoresand lum-barBMDvaluesdecreaseinmultiparouswomen.Theduration ofmenopause,bodyweightbelow65kgwerefoundtobe inde-pendentriskfactorsforosteoporosisinmultiparouswomen.

Theeffectofparityonbonemineraldensityinthe post-menopausalperiodisstillcontroversial.Hillieretal.couldnot

Table4–Descriptivecharacteristicsaccordingtoosteoporosisassetsinmultiparousgroupandlaboratoryvalues.

Osteoporosis(−) Osteoporosis(+) p

(n=64) (n=27)

Mean±SD Mean±SD

Age(year) 57.33±7.19 62.26±8.37 0.006a,b

Weight(kg) 1.60±0.05 1.55±0.09 0.025a,c

Length(m) 81.67±14.10 71.76±11.59 0.002a,b

BMI(kg/cm2) 31.77±5.44 30.27±7.51 0.289a

Numberofpregnancy(Median) 7.27±2.27(7.00) 7.26±2.12(7.00) 0.901d Numberoflivebirths(Median) 5.94±1.89(5.00) 6.30±1.56(6.00) 0.067d Thenumberofstillbirths(Median) 1.02±1.29(1.00) 0.85±1.23(0.00) 0.429d Numberofabortions(Median) 0.33±0.82(0.00) 0.04±0.19(0.00) 0.058d

Ageatfirstbirth(year) 18.89±2.27 18.74±2.84 0.790a

Ageatlastbirthday(year) 35.20±2.93 35.37±3.86 0.822a

Durationofbreastfeeding(month) 111.05±64.35 104.00±48.36 0.611a

Ageatmenarche(year) 13.70±1.40 13.67±1.36 0.921a

Menopauseage(year) 46.27±6.14 47.32±5.26 0.754a

Durationofmenopause(Median) 11.32±8.05(10.00) 16.07±10.57(17.00) 0.057d

Calcium 9.44±0.44 9.40±0.46 0.741a

Phosphorus 3.46±0.44 3.42±0.34 0.594a

Magnesium 2.22±0.30 2.09±0.21 0.049a,c

Alkalinephosphatase(Median) 80.68±24.49(79.00) 87.32±44.85(76.00) 0.575d Parathyroidhormone(Median) 72.95±36.23(67.50) 82.28±27.89(87.00) 0.045c,d Thyroidstimulatinghormone(Median) 1.85±1.06(1.69) 1.58±1.00(1.58) 0.260d Bone-specificalkalinephosphatase(Median) 18.37±6.24(16.50) 32.25±33.06(19.05) 0.357d Osteocalcin(Median) 20.65±7.51(20.65) 24.47±15.86(21.70) 0.521d

VitaminD3 20.05±14.86(14.35) 28.14±22.27(22.20) 0.043c,d

CTx(Median) 375.92±167.57(363.50) 399.21±239.48(343.50) 0.985d

a Student’sttest.

b p<0.01.

c p<0.05.

(6)

Table5–Logisticregressionanalysisofriskfactorsforosteoporosisinmultiparousgroup.

B S.E. p ExpB %95CI

Lower Upper

Durationofmenopause 0.102 0.038 0.007a 1.108 1.028 1.194

VitaminD3level 0.032 0.017 0.056 1.033 0.999 1.068

Weight(kg) 1.2 0.501 0.017b 3.321 1.243 8.872

a p<0.01.

b p<0.05.

findanassociationbetweenparityandBMDinthehip,spine andradiusintheirstudyon9699women,afteradjustments forotherosteoporosisriskfactors.10Lenoraetal.9dividedthe

patientsintogroupsofthosehavingnochildren(n=35),those with1–2 children(n=38), 3–4children(n=70) and fiveand morechildren(n=67)intheirstudyon210postmenopausal women,anddidnotfindastatisticallysignificantdifference between them in terms of lumbar and femoral BMD. The resultsofthesetwostudiesaresimilartoours.Therearealso studiesintheliteraturereportingaprotectiveeffectofparity againstosteoporosis.Foxetal.havereportedanincreasein proximalradiusdensityof1.4%ateverydelivery.18Cureetal.

havereportedintheirstudyinColumbiathatmultiparityis protectiveagainstosteoporosisincomparisonwith nullipar-ity.Intheir studytheyhavefoundanapproximately2-fold increaseinosteopenia,and a4-fold increasein osteoporo-sisin nulliparous womenin comparisonwith multiparous women.11Therearealsostudiesreportingnegativeeffectsof

parityonbonemineraldensity.Guretal.12havefoundlower

BMDvaluesintheirstudyinTurkeyatthespineandtrochanter inwomenhavinggiventofiveormorebirthsincomparison withwomenwithnodeliveriesorthosewithfewerdeliveries. Theyhavereportedacorrelationbetweenthenumberof preg-nanciesandBMDatthetrochanter,andWard’striangle,but notwiththeBMDatthefemoralneck.Pluskiewiczetal.19have

evaluatedbonemineraldensityinpostmenopausalwomen withquantitativeultrasoundatcalcaneusandphalanges,and foundlowerz-scoresinwomenwith3,4,5and6deliveriesin comparisonwiththosewith1,2deliveriesornodeliveries. Bodyweightandthedurationofmenopausewerefoundtobe factorsthathadaneffectonbonesintheregressionanalysis. The differences in findings of different studies on the effectsofparityonBMDmaybeduetodifferencesin method-ologies,samplesizesandlevelofdevelopmentofthecountry thatthestudywasconducted.Markersofboneturnoverand osteoporosisriskfactorssuchasphysicalactivityleveland cal-ciumintakewerenotevaluatedinmanystudies.Bothgroups wereextensivelyevaluatedintermsofriskfactorsof osteo-porosisandadjustmentsweremadeaccordingtoosteoporosis riskfactorsofthegroups.Inthepresentstudy,nodifferences were detectedinthe BMDsofthe twogroupsafter adjust-mentsforBMIlevelsweredoneinmultiparousandnulliparous womenwithsimilarcalciumintakes,physicalactivitylevels andages.

Demirtas¸etal.20havereportedthatdurationofmenopause

inmultiparouswomenisanindependentriskfactorfor osteo-porosis.Thedurationofmenopausewasalsofoundtobean independentriskfactorinmultiparouswomeninourstudy.

Also,thosewithabodyweightbelow65kgwerefoundtobe atriskforosteoporosis.Itiswellknownthatweightis pro-tectiveagainstosteoporosisbyexertingamechanicalloadon thebone,andthatwomenwithalowerbodyweightarelose morebone.21Inastudy,thebestpredictoroflowbonemineral

densityinwomenwasfoundtobealowbodyweight.Women withabodyweightlowerthan66kgwasreportedtobeatrisk forbonemineraldensityloss.22Similarly,alowbodyweight

wasfoundtoincreasetheriskofosteoporosisinmultiparous womeninthepresentstudy.

Manystudieshaveshownthepresenceofanassociation betweenthedurationoflactationandbonemineraldensity. Okyayetal.haveshownthatlactationdurationlongerthan1 yearperchildcreatesariskforosteoporosis.14Longer

dura-tionsoflactationbeforepeakboneageandespeciallybefore27 yearsofageincreaseosteoporosisrisk.14Thestudiesthathave

shownanassociationbetweenlactationandlowBMD23have

reportedthatthenegativeeffectonBMDisreversedwiththe initiationofmenstrualcycle.24 Someauthorshavereported

thatprolongeddurationoflactationmaycauserestorationof inadequate boneloss, andthatthis restorationmay notbe enoughinthepresenceofveryhighparity,low socioecono-miclevel,inadequatecalciumandvitaminintake.23,25Tsvetov

etal.26havereportedanegativeeffectofprolongedlactation

onBMDandthatthisismostfrequentlyseeninthevertebrae. WealsofoundanegativecorrelationbetweenlumbarBMD andthedurationoflactation.

Asfarasweknow,thereisnostudyintheliteraturethat hasevaluatedmarkersofboneturnoverinmultiparousand nulliparouswomen.Theabsenceofadifferencebetweenthe groupsinALP,osteocalcin,CTXsupportstheabsenceofa dif-ferenceinbonemineraldensities.VitaminDwaslowerand PTHwashigherinmultiparouswomenincomparisonto nul-liparouswomen.Inadequateexposureofmultiparouswomen tosunlightmayberesponsibleforthiscondition.

(7)

Conflicts

of

interest

Theauthorsdeclarenoconflictsofinterest.

r

e

f

e

r

e

n

c

e

s

1. SvedbomA,HernlundE,IvergårdM,CompstonJ,CooperC, StenmarkJ,etal.EUreviewpanelofIOFosteoporosisinthe EuropeanUnion:acompendiumofcountry-specificreports. ArchOsteoporos.2013;8:137,

http://dx.doi.org/10.1007/s11657-013-0137-0.Epub2013

October11.

2. LiuYJ,ZhangL,PapasianCJ,DengHW.Genome-wide associationstudiesforosteoporosis:a2013update.JBone Metab.2014;21:99–116,

http://dx.doi.org/10.11005/jbm.2014.21.2.99.Epub2014May

31.

3. HosieCJ,HartDM,SmithDA.Differentialeffectoflong-term

oestrogentherapyontrabecularandcorticalbone.Maturitas.

1989;11:137–45.

4. NachtigallMJ,NazemTG,NachtigallRH,GoldsteinSR. Osteoporosisriskfactorsandearlylife-stylemodificationsto decreasediseaseburdeninwomen.ClinObstetGynecol. 2013;56:650–3,

http://dx.doi.org/10.1097/GRF.0b013e3182aa1daf.

5. OliveriB,ParisiMS,ZeniS,MautalenC.Mineralandbone masschangesduringpregnancyandlactation.Nutrition. 2004;20:235–40,http://dx.doi.org/10.1016/j.nut.2003.10.011.

6. BezerraFF,MendoncaLM,LobatoEC,O’BrienKO,Donangelo

CM.Bonemassisrecoveredfromlactationtopostweaningin

adolescentmotherswithlowcalciumintakes.AmJClinNutr.

2004;80:1322–6.

7. ChoeEY,SongJE,ParkKH,SeokH,LeeEJ,LimSK,etal.Effect ofteriparatideonpregnancyandlactation-associated osteoporosiswithmultiplevertebralfractures.JBoneMiner Metab.2012;30:596–601,

http://dx.doi.org/10.1007/s00774-011-0334-0.Epub2011

November23.

8. ErginT,SelamB,LembetA,OztürkHB,DamlacıkA,Demirel C.Transientosteoporosisofpregnancy:casereport.JTurkGer GynecolAssoc.2010;11:163–4,

http://dx.doi.org/10.5152/jtgga.2010.27,eCollection2010.

9. LenoraJ,LekamwasamS,KarlssonMK.Effectsofmultiparity andprolongedbreast-feedingonmaternalbonemineral density:acommunity-basedcross-sectionalstudy.BMC WomensHealth.2009;1:19,

http://dx.doi.org/10.1186/1472-6874-9-19.

10.HillierTA,RizzoJH,PedulaKL,StoneKL,CauleyJA,BauerDC,

etal.Nulliparityandfractureriskinolderwomen:thestudy

ofosteoporoticfractures.JBoneMinerRes.2003;18:893–9.

11.Cure-CureC,Cure-RamírezP,TeránE,López-JaramilloP.

Bone-masspeakinmultiparityandreducedriskof

bone-fracturesinmenopause.IntJGynaecolObstet.

2002;76:285–91.

12.GurA,NasK,CevikR,SaracAJ,AtaogluS,KarakocM.

Influenceofnumberofpregnanciesonbonemineraldensity

inpostmenopausalwomenofdifferentagegroups.JBone

MinerMetab.2003;21:234–41.

13.OzdemirF,DemirbagD,RodopluM.Reproductivefactors

affectingthebonemineraldensityinpostmenopausal

women.TohokuJExpMed.2005;205:277–85.

14.OkyayDO,OkyayE,DoganE,KurtulmusS,AcetF,TanerCE. Prolongedbreast-feedingisanindependentriskfactorfor postmenopausalosteoporosis.Maturitas.2013;74:270–5,

http://dx.doi.org/10.1016/j.maturitas.2012.12.014.Epub2013

January24.

15.WalkerAR,WalkerBF.Recommendeddietaryallowancesand

thirdworldpopulations.AmJClinNutr.1981;34:2319–21.

16.O’NeillTW,CooperC,AlgraD,PolsH,AgnusdeiD,DequekerJ,

etal.Designanddevelopmentofaquestionnaireforuseina

multicentrestudyofvertebralosteoporosisstudy(EVOS).

RheumatolEur.1995;24:75–81.

17.O’NeilTW,CooperC.Reproducibilityofaquestionnaireon

riskfactorsforosteoporosisinamulticentreprevalence

survey:theEuropeanVertebralOsteoporosisStudy.IntJ

Epidemiol.1994;23:555–65.

18.FoxKM,MagazinerJ,SherwinR,ScottJC,PlatoCC,NevittM,

etal.Reproductivecorrelatesofbonemassinelderlywomen

StudyofOsteoporoticFracturesResearchGroup.JBoneMiner

Res.1993;8:901–8.

19.PluskiewiczW,Skwira-KapałaM,DrozdzowskaB.The influenceofparityonquantitativeultrasoundevaluationof thecalcaneusandhandphalangesinPolishpostmenopausal women.JBoneMinerMetab.2011;29:437–41,

http://dx.doi.org/10.1007/s00774-010-0237-5.Epub2010

November12.

20.DemirtasO,DemirtasG,HursitogluBS,TerziH,SekerciZ,Ok

N.Isgrandmultiparityariskfactorforosteoporosisin

postmenopausalwomenoflowersocioeconomicstatus?Eur

RevMedPharmacolSci.2014;18:2709–14.

21.NguyenTV,SambrookPN,EismanJA.Boneloss,physical

activity,andweightchangeinelderlywomen:theDubbo

OsteoporosisEpidemiologyStudy.JBoneMinerRes.

1998;13:1458–67.

22.Dargent-MolinaP,PoitiersF,BréartG.Inelderlywomen

weightisthebestpredictorofaverylowbonemineral

density:evidencefromtheEPIDOSstudy.OsteoporosInt.

2000;11:881–8.

23.DursunN,AkinS,DursunE,SadeI,KorkusuzF.Influenceof

durationoftotalbreast-feedingonbonemineraldensityina

Turkishpopulation:doesthepriorityofriskfactorsdiffer

fromsocietytosociety?OsteoporosInt.2006;17:651–5.

24.BalaschJ.Sexsteroidsandbone:currentperspectives.Hum

ReprodUpdate.2003;9:207–22.

25.DemirB,HaberalA,GeyikP,BaskanB,OzturkogluE,Karacay O,etal.Identificationoftheriskfactorsforosteoporosis amongpostmenopausalwomen.Maturitas.2008;60:253–6,

http://dx.doi.org/10.1016/j.maturitas.2008.07.011.Epub2008

September7.

26.TsvetovG,LevyS,BenbassatC,Shraga-SlutzkyI,HirschD. Influenceofnumberofdeliveriesandtotalbreast-feeding timeonbonemineraldensityinpremenopausalandyoung postmenopausalwomen.Maturitas.2014;77:249–54,

http://dx.doi.org/10.1016/j.maturitas.2013.11.003.Epub2013

Imagem

Table 1 – Sociodemographic and clinical features of postmenopausal multiparous women and nulliparous women
Table 4 – Descriptive characteristics according to osteoporosis assets in multiparous group and laboratory values.
Table 5 – Logistic regression analysis of risk factors for osteoporosis in multiparous group

Referências

Documentos relacionados

Associations of vitamin D status with bone mineral density, bone turnover, bone loss and fracture risk in healthy postmenopausal women. The OFELY

The aim of this study was to determine the prevalence and factors associated with osteopenia and osteoporosis in women who have undergone bone mineral density test in a

The present results show that treadmill gait training was efficient in increasing the rate of bone formation, even with 30-50% of BWS, since most individuals presented a

The weight, height and calculated Z score for height/age and body mass index; bone mineral content, bone mineral density and adjusted bone mineral density were established

Objective: To study bone mineral density (BMD) in adolescent females according to five groups of chronological age (CA), bone age (BA), and breast development stage (B), and

The results of this study showed that markers related to bone turnover (such as BALP and CTx) increased significantly among postmenopausal women in the control group at the end

Reduced bone mineral density in HIV-infected patients: prevalence and associated factors. Reduced bone mineral density in human immunodeiciency virus-infected patients and

Effects of zoledronate versus placebo on spine bone mineral density and microarchitecture assessed by the trabecular bone score in postmenopausal women with osteoporosis: a