Effects
of
12-week
overground
walking
training
at
ventilatory
threshold
velocity
in
type
2
diabetic
women
Taisa
Belli
a,b,*,
Luiz
Fernando
Paulino
Ribeiro
a,b,c,
Marco
Aure´lio
Ackermann
d,
Vilmar
Baldissera
a,
Claudio
Alexandre
Gobatto
a,
Rozinaldo
Galdino
da
Silva
e aLaboratoryofSportsAppliedPhysiology,FCA,UNICAMP,Limeira,SP,BrazilbBiosciencesInstitute,UNESP,RioClaro,SP,Brazil cDepartmentofHealthSciences,UESC,Ilhe´us,BA,Brazil dLaboratoryofExercisePhysiology,UFSCar,Sa˜oCarlos,SP,Brazil eRoraimaStateUniversity,UERR,BoaVista,RR,Brazil
1.
Introduction
Glycaemic control is a fundamental component in the management of type 2 diabetes mellitus (DM2) and its complications[1,2],withconvincingevidenceshowing physi-caltrainingtobeaneffectivestrategyforthispurpose[3–5]
sinceitincreasesbothglucosetransportandskeletalmuscle insulinsensitivity[6].
Inthis framework, walking hasbeen considered asafe, accessibleandconvenientexercisetypeforindividualswith DM2 without peripheral neuropathy. Given the familiar
pattern ofmovement,walkingexerciseiseasilyaddedinto thedailyphysicalactivityroutineofapatientwithDM2[7,8]. Furthermore, this type of exercise involves large skeletal musclemass,whichplaysamajorroleinperipheralglucose uptake [9], thus triggering more effective improvement in glycaemichomeostasis[10].
Inadditiontothetypeofexercise,otherkeycomponents (i.e.,volume,frequencyandintensity)mustbeconsideredin training programsthat intend tomaximize health benefits whileminimizingrisksinDM2subjects,withspecialattention being devoted tothe exercise intensity [11–15]. In a meta-analysisbyBoule´ etal.[16],reductionsinglycatedhemoglobin
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r
t
i
c
l
e
i
n
f
o
Articlehistory:
Received3December2010 Receivedinrevisedform 20March2011
Accepted5May2011 Publishedonline1June2011
Keywords:
HbA1c Exercise Type2diabetes Fitness
Ventilatorythreshold
a
b
s
t
r
a
c
t
Thisstudyanalyzedtheeffectsofovergroundwalkingtrainingatventilatorythreshold(VT) velocityonglycaemiccontrol,bodycomposition,physicalfitnessandlipidprofileinDM2 women.Nineteensedentarypatientswererandomlyassignedtoacontrolgroup(CG;n=10, 55.92.2years)oratrainedgroup(TG;n=9,53.42.3years).Bothgroupsweresubjectedto anthropometricmeasures,a12-hfastingbloodsamplingandagradedtreadmillexercise testatbaselineandaftera12-weekperiod,duringwhichTGfollowedatrainingprogram involving overground walking at VT velocity for 20–60min/session three times/week. Significantgrouptimeinteractions(P<0.05)inglycatedhemoglobin(HbA1c),bodymass,
bodymassindex(BMI),peakoxygenuptake(VO2peak)andexercisedurationwereobserved
aseffectsoftrainingexercise,whereasinterventiondidnotinducedsignificantchanges (P>0.05)infastingbloodglucose, submaximalfitnessparametersandlipidprofile.Our
resultssuggestthatovergroundwalkingtrainingatVTvelocityimproveslongterm gly-caemiccontrol,bodycompositionandexercisecapacity,attestingfortherelevanceofthis parameterasaneffectivestrategyfortheexerciseintensityprescriptioninDM2population.
#2011ElsevierIrelandLtd.Allrightsreserved.
*Correspondingauthorat:RuaOscarFerreiradeCarvalho,41,CEP13690-000,VilaVendramini,Descalvado,Sa˜oPaulo,Brazil. E-mailaddress:taisa.belli@gmail.com(T.Belli).
Contentslists availableat ScienceDirect
Diabetes
Research
and
Clinical
Practice
j o u r n alh o m e p a g e :w w w . e l s e vi e r . c o m / l o c at e / d i a b r e s
0168-8227/$–seefrontmatter#2011ElsevierIrelandLtd.Allrightsreserved.
(HbA1c)aftertraininginthesepatientswerebetterpredicted by exercise intensity than volume. Yet, although current positionstatementsfrom differentworld leading organiza-tions[17–19]provideexerciseintensityrecommendationsfor such population, thesesuggestions should beviewed with caution given the wide range of moderate and vigorous intensities based on percentages of maximal oxygen con-sumption(VO2max)(40–59and60–84%)and/ormaximalheart
rate (HRmax) (50–69 and 70–89%). It is well known that
exercisingatagivenpercentageofVO2maxorHRmaxcanelicit
differentphysiologicalresponsesfordifferentindividualsand thatsubmaximalparameterssuchaslactateorgasexchange thresholdsarebettermarkersoftherelativestressinducedby exercise[20].
Regardless of the controversy about its physiological background [21], ventilatorythreshold (VT), or the exercise intensityabove whichventilationbeginstoincrease dispro-portionatelyrelativetooxygenuptake,hasbeenconsidereda direct, simple and useful parameter for optimal exercise intensityprescription in DM2patients[22–24]. While acute exerciseatVTreducesplasmaglucose[25],trainingatthis intensityimproves boththe aerobiccapacityand the cost-effectiveness of treatment [26]. Moreover, Belli et al. [24]
showed the feasibility of VT determination during graded treadmilltestinwomenwithDM2withoutcomplications.In spite ofthis,inmoststudiesadoptingwalking exercisefor DM2patients,intensitywaseithersubjective[7,27,28]orbased
on%HRmax[8,11,29–31].
Although VT accessed in a graded exercise test can be expressed inbothperformance (i.e.,power or velocity) and physiological(i.e.,%VO2maxand%HRmax)terms[24],heartrate
(HR) at VT has been the preferred parameter for exercise prescriptioninclinicalsettings[20,26].However,despitethe increasing availability of portable monitors, continuous HR assessmentduringtrainingsessionsisnotwithoutlimitations
[32]andcanbequitecomplexduetotechnicalandlearning reasons.Alternatively,intensitycontrolbymeansofvelocityin cyclicactivitiessuchasrunningandwalkingisverypracticalin field settings, where subjects are commonly aware about covering known distances in particular times. Yet, the effectivenessoftrainingovergroundatVTvelocitiesderived from treadmill tests in patients with DM2 remains to be investigated.Thus,thepurposesofthisstudyweretoassessthe effectsofsupervisedovergroundwalkingtrainingatventilatory thresholdvelocityonHbA1c,bloodglucose,bodycomposition, physicalfitnessandlipidprofileintype2diabeticwomen.
2.
Materials
and
methods
2.1. Subjects
Afterapproval by the Sa˜o Carlos Federal University Ethics Committee for Human Research (no 034/04), 24 sedentary middle-agedwomenwithDM2diagnosis[33]wererecruited fromlocalhealthfacilitiesandsignedaninformedconsent volunteeringtotakepartinthisinvestigation.Allofthemwere housewives,non-smokersandnotengagedinregularexercise practice, withcurrent physicalactivity <1h/week. Patients
wereincludedinthestudyiftheirdiabeteswastreatedbydiet
(n=5)ororalagents(sulphonylurea,n=6;metformin,n=3; andsulphonylurea+metformin,n=10),butnotiftheywere treated with insulin given the tendency of an advanced diseasestateinthiscase.Absenceoflongtermcomplications (retinopathy,microalbuminuria,nephropathy,peripheraland autonomicneuropathy)aswellasbloodpressuregreaterthan 160/95mmHg were confirmed by clinical history, clinical examinationandlaboratorytests.Afterablinded randomiza-tion by means of computer-generated random numbers subjectswereallocatedinacontrol(CG)oratrainedgroup (TG), each one with 12 volunteers. Five of the 24 women initiallyenrolledinthestudywerenotabletoconcludethe experimentalprotocol(2fromCGand3fromTG)duetofamily responsibilities (n=3), thrombosis (n=1) and spinal disc herniation (n=1),being theselast events notattributed to the study procedures. Therefore, our final sample was composedby10and9subjectsintheCGandTG,respectively. Nosignificantdifferenceswerefoundbetweengroupsforage (55.92.2vs53.42.3years,P=0.48),height(155.01.6vs 152.02.4cm,P=0.30)anddiseasetime(3.70.8vs4.41.2 years,P=0.71).
2.2. Experimentalprocedures
Usingalongitudinalapproach,allpatientsweresubmittedto anthropometric measurements, a 12-h fasting blood sam-pling, dietary evaluation and a graded exercise test on a motorizedtreadmillatbaselineandaftera12-weekperiod. Exercisetest(TGonly)anddietaryevaluation(TGandCG)were also performedat the 6th week.Subjects fromthe trained groupwereevaluated48–72hafterthelasttrainingsessionin ordertoavoidresidualinfluenceofacuteexercise.
2.3. Anthropometry
Height was accessed using a calibrated stadiometer (Filiz-zola1, Brazil), while body mass and body composition
including percent body fat, fat and fat free mass, were determined usinga bioelectricimpedancesystem withthe electrodesincontactwithsolesandheelsofbothfeet(Tanita Body Composition Analyzer TBF-310) [34]. Measurements wereperformedinaquietenvironmentaftera12-hovernight fast,beingthesubjectsinthestandingpositionwithoutshoes andusinglightclothes.Bodymassindex(BMI)wascalculated as body mass divided by squared height (kg/m2). Waist
circumferences were taken at narrowest circumference betweenthelowestribandtheiliaccrestbyasingletrained evaluatorusinganinextensiblemetallictape(Sanny1,Brazil)
placeddirectlyontheskin,perpendicularlytothelongaxisof thebody andhorizontallytothefloorattheendofnormal expiration.Forthispurpose,subjectsstoodwithfeettogether, lookingstraightaheadwiththearmshangingbythesideof thebody[35].Averagevaluesfromtwomeasurementswere considered.
2.4. Bloodanalysis
analysisofbloodglucoseandlipidprofile.Bloodglucose,total cholesterol,highdensitylipoproteincholesterol(HDLC)and triglycerides were determined by enzymatic-colorimetric procedures (Laborlab1)using aspectrophotometer
(VERSA-Max1microplatereader).Lowdensitylipoproteincholesterol
(LDLC) was determined using Friedwald’s equation for triglycerides<400mg/dL. Additional 2mL blood samples
weretakenintubescontainingEDTAforHbA1cdetermination usinghigh-performanceliquidchromatography(BioRad Dia-STATAnalyzer1).
2.5. Dietaryevaluation
Fordietaryevaluation,a1-dayfoodrecordwasadoptedina facetofaceinterviewconductedbyanexperienceddietitian. Thereafter, records were analyzed using the ‘‘Nutrition Support Program’’ software from the Escola Paulista de Medicina–EPM (DIS-EPM, version 2.5a, UNIFESP, Brazil). It was recommended a dietary education according to the American Diabetes Association (ADA) position statement
[36] to all subjects to minimize dietary variability among groups.
2.6. Gradedexercisetests
After a familiarization session, graded exercise tests were conducted using a previously described protocol [24] on a treadmill (Moviment – LX-160, Brazil) without inclination. Initialvelocitywas set at 1km/h and increasedby 1km/h every2minuntilvoluntaryexhaustion.Duringexercise,20s average ventilation (VE), oxygen uptake (VO2) and carbon
dioxideproduction(VCO2)weremonitoredwithsubjectsusing
a nose clip and breathing into a mouthpiece (VO2000 Gas Analyzer,MedGraphics,USA).Thesystemwasautomatically calibratedbeforeeachtestandsubjectswereallowedtolightly rest their hands on the treadmill bar during exercise to maintaintheirbalance.ThehighestVO2attainedduringthe
testwastakenasthepeakoxygenuptake(VO2peak).VTwas
assessedby twoindependent investigatorsthroughVE/VO2
increasewithout a concomitant rise inVE/VCO2[37]. After
20minsitting rest precedingthe exercisetest, participants hadassessedtheirbloodpressurebytheauscultatorymethod usingananeroidsphygmomanometer (Tycos,USA1)and a
stethoscope (Becton Dickinson, USA1). Furthermore, blood
pressureandheartrate(PolarS810,PolarElectroOy,Finland1)
weremeasuredat theendofeachstageforsafetyreasons duringthetest.
2.7. Trainingprotocol
WomenfromTGweresubjectedtoa12-weekwalkingtraining program,whichwasperformedinaflat350moutdoortrackat the individual VT velocity, three times a week (Monday, WednesdayandFriday).Alltrainingsessionsweresupervised and performed between 8:00 and 10:00a.m. Stretching exercisesinvolvingmainmusclegroupsofupperandlower limbswereperformedbeforeandafterwalkingandindividual velocitieswerecontrolledbythefirstauthorduringalltraining sessions.Forthispurpose,sonoroussignalswereprovidedin ordertodrivesubjectstopassbymarksplaced50mapartin
the track in pre-determined times. After a familiarization sessionpriortothefirsttrainingbout,allsubjectswereableto keeptheprescribedvelocityusingthisprocedurewithinfew minutes,whichhasbeenpreviouslyadoptedinfield rehabili-tation [38]. In the first week sessions lasted 20min, being duration increasedby10min/week until60minat the 5th week.Thisdurationwaskeptuntiltheendoftrainingperiod. Agradedexercisetestwascarriedoutattheendofthe6th weekinordertoadjusttrainingspeeds.Furthermore,inthe lasttrainingsessionofeachtwoweeks,preandpostexercise fingertipbloodsamplesweretakeninordertoverifytheacute effectsoftheboutandassurethatbloodglucose(Optimum– MedisenseProduct,AbbottLab1)waskeptinthesaferange
suggestedbyADA[39].VolunteersfromtheCGcontinuedtheir normal lives without any systematic exercise during the experimentalprotocol.
2.8. Statisticalanalysis
Statisticalanalysiswascarriedoutusingastatisticalsoftware package (Statistic 7.0, Statsoft, Tulsa, USA). Mean and standarderrorofmean(SEM)werecalculatedforallstudied variables.Normaldistributionandhomogeneityofthedata were verified by the Shapiro-Wilk and Levene’s tests, respectively, and before using parametric analysis blood glucose, triglycerides, maximal and submaximal velocities werelog transformed.Group comparisonsat baselinewere carried out using unpaired t tests. Two-way 22 (group
time)mixedanalysisofvariances(ANOVAs)wereusedto investigate main effects and grouptime interactions. Dietaryparameterswereanalyzedbymeansof23(group
time)mixedANOVAs,beingGreenhouse-Geissercorrection applied if violationofsphericity was pointedbyMauchly’s test. Unequal n Tukey post hoc test was performed when appropriate.StatisticalsignificancewassetatP<0.05inall
cases.
3.
Results
No significant differences (P>0.05) were found between
trained and control groups for any studied variable at baseline (Tables 1 and 2, Fig. 1), and high attendance to the supervisedtraining programwasobservedforthe TG, withvolunteers performing922%of36offeredsessions. Capillary blood glucose significantly decreased (P<0.01)
after all selected bouts in this group, being averaged pre andpostexercisevaluesrespectively1628vs1187mg/ dL.Nosignificant changes(P>0.05) werefound infasting
blood glucose before and after experimental period (TG: 1199and1108mg/dL;CG:13216and14220mg/dL). On theotherhand,whileCGshowedsimilarHbA1clevels aftertraining,apronounced11.6%decreasewasfoundinTG, leading to a significant (P<0.05) grouptime interaction
(Fig.1).
interactionsstatistically significantforall theseparameters (P<0.01).Whilefatfreemassremainedratherstableinboth
groups,fatmassandpercentagebodyfatdecreasedtoagreat extentinTG,butonlysignificanttimeeffects(P<0.01)were
foundforthesechanges.Regardinglipidprofile,asignificant grouptimeinteractionwasfoundforHDLC(P<0.05),witha
greaterincreaseincontrolvstrainedgroup.Incontrast,both groups showed lower total cholesterol and LDLC after 12-weeks, with a significant time effect (P<0.01) and no
significant changes were found fortriglycerides as wellas restingbloodpressure(P>0.05).
Table 2 shows fitness parameters accessed during the
graded exercise tests at baseline and after intervention. Greater increases in peak treadmill velocity and exercise durationwereobservedintheTG,butasignificantinteraction wasfoundonlyforthelatter(P<0.05).Asignificantgroup
timeinteraction (P<0.05)was alsoobserved forVO2peak,
witha6%increaseintheTGbutan8%reductionintheCG.In addition,whilenosignificantchangeswerefoundforHRpeak,
slightlyhigherrespiratoryexchangeratio(RER)valuesinboth groupsafter12weeksledtoasignificanttimeeffect(P<0.05).
Regardingsubmaximalparameters,velocityatVTincreasedto agreatextentinTG(17vs7%),butonlysignificanttimeeffect
(P<0.01)werefoundforthischange.Ontheotherhand,no
significantmaineffectsorinteractionswereobservedforVT expressedinphysiologicterms(P>0.05).
Energyintakeat baseline,atthe 6thweekandafterthe experimental period in TG and CG were respectively 7569753 and 7971791kJ/day, 6514506 and 5912594kJ/day, and 6828456 and 5912414kJ/day. A significanttimeeffect(P<0.05)wasfoundforthisvariable,
withpost-hocanalysisshowinglowerenergyintakeat6thand 12-weeks(P<0.05)comparedtobaselinevalues.Ontheother
hand,nosignificantgroupeffectorgrouptimeinteraction
Table1–Anthropometricmeasures,lipidprofileandrestingbloodpressurefortrainedgroup(TG)andcontrolgroup(CG) atbaselineandafter12-weeks.
TG(n=9) CG(n=10) ANOVAP-value
Baseline 12-Weeks Baseline 12-Weeks Group Time Interaction
Bodymass(kg) 75.06.1 72.55.9 71.84.2 71.44.2 0.77 <0.01 <0.01
Bodymassindex(kg.m 2) 32.2
2.0 31.11.9 29.91.8 29.81.8 0.51 <0.01 <0.01
Fat-freemass(kg) 44.41.9 45.42.8 44.51.4 45.21.5 0.99 0.11 0.77
Fatmass(kg) 30.64.2 27.23.4 27.52.8 26.22.8 0.66 <0.01 0.06
Bodyfat(%) 39.52.4 36.61.9 37.31.9 35.72.2 0.61 <0.01 0.27
Waist(cm) 100.83.3 100.73.5 101.14.1 103.14.1 0.81 0.03 0.01
Totalcholesterol(mg/dL) 202.110.7 184.811.3 233.419.5 202.915.1 0.23 <0.01 0.39
HDLC(mg/dL) 34.32.3 42.02.9 33.02.5 52.34.8 0.29 <0.01 0.02
LDLC(mg/dL) 141.911.7 109.912.9 169.918.2 119.310.9 0.39 <0.01 0.16
Triglycerides(mg/dL) 179.342.6 164.323.3 191.654.3 156.719.6 0.91 0.77 0.85
RestingSBP(mmHg) 130.06.9 117.09.4 138.04.5 130.08.4 0.24 0.07 0.68
RestingDBP(mmHg) 83.63.8 77.04.7 84.43.3 81.03.9 0.56 0.17 0.58
HDLC:highdensitylipoproteincholesterol,LDLC:lowdensitylipoproteincholesterol,SBP:systolicblood pressure,DBP:diastolic blood pressure.
Table2–Fitnessparametersfortrainedgroup(TG)andcontrolgroup(CG)atbaselineandafter12-weeks.
TG(n=8) CG(n=9) ANOVAP-value
Baseline 12-Weeks Baseline 12-Weeks Group Time Interaction
Peakvelocity(km.h 1) 6.2
0.3 8.00.4 6.70.2 6.90.3 0.01 <0.01 0.27
Exerciseduration(min) 13.30.7 15.70.7 12.90.4 13.70.6 0.15 <0.01 0.04
VO2peak(ml.kg 1min 1) 22.1
1.23 23.31.4 23.91.4 21.71.2 0.87 0.28 0.03
HRpeak(bpm) 1494 1575 1609 1575 0.60 0.56 0.26
RERpeak 1.140.13 1.190.06 1.090.05 1.180.06 0.37 0.01 0.38
VelocityatVT(km.h 1) 4.70.3 5.40.2 4.70.2 5.00.2 0.99 <0.01 0.98
VO2atVT(ml.kg 1min 1) 16.40.9 16.41.1 18.70.8 15.60.8 0.51 0.06 0.06
%VO2peakatVT 721 723 753 712 0.59 0.49 0.52
HRatVT(bpm) 1184 1187 1176 1236 0.74 0.65 0.19
%HRpeakatVT 803 753 744 783 0.53 0.81 0.21
VO2:oxygenuptake,HR:heartrate,RER:respiratoryexchangeratio,VT:ventilatorythreshold.
(P>0.05)wereobserved.Nosignificantdifferencesorchanges
werefoundformacronutrientcompositionofthediet(data notshown).
4.
Discussion
Themainfindingsofthepresentstudywerethat12-weeksof supervisedwalkingtrainingat VTvelocityledtosignificant improvementsinlongtermglycaemiccontrol,body composi-tionandexercisecapacityinmiddle-agedDM2women.Onthe otherhand,suchinterventionhadnosignificanteffectson fastingbloodglucoseorlipidprofileinthesepatients.
Inlinewithexistingevidence[24],whenexpressedrelative toVO2peakandHRpeakhighinter-individualvariabilityofVT
wasobservedinourvolunteers(60to85%),butdespitethis intensityhasbeenclaimedasamarkerforoptimalexercise prescriptioninDM2subjects[22–24]toourknowledgethisis the first study addressing the chronic effects of a full supervisedwalkingprogramatVTvelocityinthesepatients. Interestingly,thereductioninHb1AcobservedinourTG (11.6%)wasgreaterthanthosefoundintheonlytwoprevious studiesshowingimprovementsinlongtermglycaemiccontrol afterwalkingtraininginpatientswithDM2[7,31].Walkeretal.
[7]showed12-weekofselfpacedwalkingfor60min,fivetimes a week, to lower HbA1c by 7.6% in postmenopausal DM2 women,whileShenoyetal.[31]founda9.7%decreaseinthis parameterafteran8-weekexerciseprogramat 75to83% HRmaxfor35to40min,fivetimesaweek,inAsianIndiansof
bothgenderswithDM2.
Contrarytothesestudieshowever,reducedHbA1cinthe presentinvestigationwasnotaccompaniedbylowerfasting bloodglucose.Giventhathemoglobinglycationdependson meanbloodglucoseconcentrationoverthe120-daylifespan ofredblood cells[40],thisapparently contradictoryfinding couldresultfromtheacuteeffectsofeachexercisebout in loweringbloodglucose.Inlinewiththis,Mandersetal.[41]
foundasingleboutofexercisetoreduceaveragebloodglucose concentrationandtheprevalenceofhyperglycemiaduringthe 24-hpostexerciseperiod.Meancapillaryglycaemiareduction observedinoursubjectsinselectedtrainingboutswas27%, beingthesevaluesintheadequaterange(70–300mg/dL)for exercise practice suggested by ADA [39], attesting for the safetyourwalkingprogram.
Corroboratingpreviousstudies,ourresultsshowed walk-ingtraining toreducebody massandBMIinDM2patients
[7,27–29,31]. In addition, we found a tendency to greater
reductioninfatmasswithoutchangesinfat-freemassasa resultofexercise, that alsoprevented waistcircumference increase,whichinturnisstronglyrelatedtovisceraladipose tissue,insulinresistanceandcardiovascularcomplicationsin
DM2 [42–44]. Together, these findings indicate a healthier
anthropometric profile and consequent protection against obesityrelatedco-morbiditiesinoursubjectsaftertraining.
Enhancementonlipidprofileincludingreductionsontotal cholesterolandLDLChasbeenobservedinsomebutnotall walkingtrainingstudies[7,8,26,27].Abnormallipidprofilewas observedinoursubjectsatbaseline,however,unexpectedly changestowardstargetvalueswerefoundafterexperimental period in both groups. These results may be partially
explained by diet characteristics that were not accounted forinourstudyprotocol,suchasreductionsinsaturatedfat,
transfatandcholesterolintakeoralsoincreasedviscousfiber andn-3fattyacidsingestion[45].Inaddition,despitethelack ofsignificantgrouporgrouptimeinteraction,totalenergy intakedecreasedtoagreatextentincontrolvstrainedgroup throughtheexperimentalperiod(25vs10%).Thiscanalso elucidatethegreaterHDLCincreaseincontrolvstrainedgroup afterintervention.
ThesignificantgrouptimeinteractionsforVO2peakand
exercisedurationcorroboratedatafrompreviousstudies[7,30]
and canbeconsidered evidencesthat ourwalking training protocol wasabletoimproveexercisecapacity/tolerancein DM2 subjects. These are relevant adaptations since low cardiorespiratory fitness is a common feature related to femalegender,familyhistoryofcoronaryheartdisease[46]
andanindependentpredictorofmortality[47]inpeoplewith DM2.Contrarytothehypothesisthattrainingwouldelicita greater increase in VTcomparedto VO2peak, wefound the
former to be unchanged after the intervention when expressedinphysiologicalterms.Insupportofthis,Larose et al. [48] observed that workload at VT increased while %VO2peak at VT remained unchanged after 6-months of
walking and cycling at 60–75% HRmax for 25–45min, three
timesaweekinpatientswithDM2.
Yet regular walking has been considered an interesting adjuncttherapyforDM2subjects,controversialfindingshave been reported regarding thechronic effects ofthis type of exercise on health related parameters in such population
[7,8,11,26–31].Thesedivergencesmayresultfromthediversity
ofadoptedtrainingperiods(fewweeksuptoayear),exercise frequencies (2–5 days/week), session durations (30–60min) andintensities(subjectiveselfpaced,briskwalking,%HRmax),
aswellassamplecharacteristics(age,gender,race).
SinceoursubjectsexercisedatVTvelocitiesderivedfrom treadmill tests one could question whether training was performedat VTintensityexpressedinphysiologicalterms (i.e.,%HRpeakor%VO2peak)duetoenvironmentaland
specifici-ty concerns. Inanattempttominimizetheclimatic differ-ences between laboratory and field conditions, testing and trainingsessionswereperformedatapproximatelythesame timeoftheday.Inaddition,trainingprogramwasdeliberately conducted during the spring, with rather stable climatic conditionsinoursubtropicalregion.Albeitthesecautionsdo notwarrantidenticalenvironments,differenceswere proba-bly too small to result in rather discrepant physiological strains. Ontheotherhand,fromtheresultsofParvataneni et al. [49]indicating lower metabolic requirement in over-groundcomparedtotreadmillwalkingatthesamevelocityin older adults,it isplausiblethatourvolunteers’ VTvelocity couldbegreaterifdeterminedonthetrack.Alimitationofthe currentinvestigationhoweverwasthatwecouldnotquantify the extent to which overground walking differed from treadmillwalkinginphysiologicalterms.
littlecomorbidityandshortdiseaseduration,reachingsuch low Hb1Ac values without hypoglycaemia episodes may provide important reductions in the risk of microvascular complications[45].Whiletheseresultspointoutthe effective-nessofafieldwalking programatthe laboratorybasedVT velocityinDM2subjects,indicessuchasthemaximallevelof lipid oxidation, which is lower than VT, have been also suggestedforoptimizingexerciseintensityinpatientswith metabolic diseases [50]. Nevertheless, the issue of which individualized target is more efficient or even whether individualization is superior than standard procedures for patientswithDM2isarelativelynewresearchareaandfurther workonthistopiciswarranted.
Acknowledgements
ThisstudywassupportedbytheCAPES,Brazil.WethankDM2 patients; Medical Laboratory Dr Maricondi – Ma´rcio Lopes Bandoni;ExercisePhysiologyResearchGroup/UFSCar; Depart-mentof Morphologyand Pathology/UFSCar; Departmentof PhysiologicalSciences/UFSCar;DescalvadoTownHall–Carlos Roberto Bianchi; ViaSau´deGym – Regilene;Paula Scramin O‘hara;SimonePizzaFregonesiandMarianaRinaldiBenvenga fortheircontributiontothisstudy.
Conflict
of
interest
Theauthorsdeclarethattheyhavenoconflictofinterest.
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