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  • 8/9/2019 Mobility Impairment in Type 2 Diabetes - Association With Muscle Power and Effect of Tai Chi Intervention 2120

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    Mobility Impairment in Type 2 DiabetesAssociation with muscle power and effect of Tai Chi intervention

    RHONDA ORR, MEXSPSC1

    TRACEY TSANG, BAPPSC(EXSPSC)(HONS)1

    PAUL LAM, MBBS2

    ELIZABETH COMINO, PHD3

    MARIA FIATARONE SINGH, MD1,4

    The increasing prevalence of type 2diabetes is a major health concern.Reducing the vascular complica-

    tions of diabetes has been a primary focuso f t r e a t m e n t . H o w e v e r , t h e l e s s -recognized complications of physical dis-ability, cognitive impairment, anddepression that impact on quality of life(QOL) are also important primary careconsiderations in older patients with dia-

    betes.Diabetes has been associated with agreater risk of decline in function and in-creased prospect of severe disability (1,2).Studies have sought to identify relation-ships or causal pathways between thesyn-dromes of mobility, disability, andneuropsychological function in adultswith type 2 diabetes (1,3). Few have si-multaneously examined these factors po-tentially modifiable by physical activity(4) across multiple domains or at morethan one point in time.

    The dose of aerobic and resistance ex-

    ercise necessary to achieve metabolic ben-efits in clinical trials has sometimes led topoor compliance (5). Older adults withdiabetes, often characterized by long-term sedentariness, overweight/obesity,and multiple comorbidities, may demon-strate better adherence to a low-intensity,low-impact exercise, such as Tai Chi. Al-though Tai Chi has demonstrated im-proved balance, gait speed, musclestrength, cardiorespiratory fitness, and

    QOL in older adults (613), it has neverbeen tested specifically in a diabetic cohortfor benefits across multiple domains.

    If Tai Chi was shown to be effectivefor mobility and other health outcomesrelevant to this cohort, it may present aviable alternative exercise modality. Theaim of this study was to examine the phys-iologic impairments associated with mo-bility in older adults with type 2 diabetes

    and to investigate whether Tai Chi wouldimprove mobility in this cohort relative tosham exercise.

    RESEARCH DESIGN AND

    METHODS We conducted a 16-week single-blind, randomized, sham-exercise controlled trial with an intention-to-treat design. Baseline outcomesassessment was blinded. The study wasapproved by human research ethics com-mittees of the Universities of Sydney andNew South Wales. Written informed con-sent was obtained by participants.

    We studied 38 type 2 diabetic pa-tients (79% female). We excluded pa-tients who were physically active,institutionalized, or cognitively impaired(Mini-Mental State Examination 24)(14) or had arthritic pain, unstable condi-tions, or disease precluding them fromthe planned exercises. Participants wererandomly allocated to the Tai Chi or con-trol groups, named Eastern or Westernexercise, both presented as being poten-

    tially beneficial. The same exercise phys-iologist conducted both group exercise

    sessions (10 min warm-up and cool-down, 45 min exercise) twice weekly. TheTai Chi group performed Tai Chi for Dia-betes (15), a 12-movement hybrid fromSun and Yang styles. Control subjects per-formed sham exercise (e.g., seated calis-thenics, stretching) (16).

    All testing was conducted by the ex-ercise physiologist before randomizationand after completing 32 sessions (within5 months of randomization). Mobility im-pairment was determined from measuresof balance and gait speed (habitual and

    maximal). Static balance (timed single-legstance with eyes open and closed), dy-namic balance (3-m forward tandemwalk), and balance index (summary scoreof static balance and postural control per-formance on a Chattecx balance platform)(17) were measured.

    Physiological capacity assessmentsincluded knee extensor strength (one rep-etition maximum), peak power, peakcontraction velocity, and endurance (18)and overall exercise capacity (6-minwalk) (19). Health status included num-ber of comorbidities, body composition

    (waist circumference, total body fat[%BF]) (20), fasting blood glucose, cog-nition (14), QOL (21), and attitude to-ward diabetes (22).

    Statistical analyses were performedusing Statview 5.0. Values are reported asmeans SD or median (range). Groupswere compared using t tests or2. The effectof time and group-by-time interactionswere analyzed with repeated-measures

    ANOVA. Variables, different betweengroups and their baseline values, were usedas covariatesin ANCOVAmodels. Relation-

    ships between variables of interest were an-alyzed with multiple and forward stepwiselinear regression or Spearman rank-ordercorrelation. Statistical significance was ac-cepted at P 0.05.

    RESULTS Participant characteris-tics and performance data are presentedin Table 1. Participants were obese (63%),displayed metabolic syndrome (82%),had one or more diabetes complications(40%), had comorbidities (predomi-nantly osteoarthritis [84%] and hyperten-

    From the

    1

    Exercise and Sport Science Department, University of Sydney, Sydney, Australia; the

    2

    FamilyMedicine Department, University of New South Wales, New South Wales, Australia; the 3Health EquityTraining Research and Evaluation Department,University of New South Wales, New SouthWales, Australia;and the 4University of Sydney, Sydney, Australia, and Hebrew SeniorLife and Jean Mayer USDA HumanNutrition Center on Aging, Tufts University, Boston, Massachusetts.

    Address correspondence and reprint requests to Rhonda Orr, P.O. Box 170, Lidcombe, NSW, 1825,Australia. E-mail: [email protected].

    Received for publication 1 June 2006 and accepted in revised form 7 June 2006.P.L.was the creator ofthe Tai Chi for Diabetesformand producer ofits video and isthe founder ofTai Chi

    Productions, which distributes these videos and similar products and services.Abbreviations: %BF, total body fat; QOL, quality of life.

    A table elsewhere in this issue shows conventional and Systeme International (SI) units and conversionfactors for many substances.

    DOI: 10.2337/dc06-1130 2006 by the American Diabetes Association.The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby

    marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

    E m e r g i n g T r e a t m e n t s a n d T e c h n o l o g i e sB R I E F R E P O R T

    2120 DIABETES CARE, VOLUME 29, NUMBER 9, SEPTEMBER 2006

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    sion [76%]), and were recurrent fallers(16%; two or more falls in the past year).

    At baseline, older age, more comorbidi-ties, higher %BF, poorer cognition, QOL,exercise capacity and muscle power, andslower gait speed and muscle contractionvelocity were related to poor balance (P0.043 to 0.0001). Similarly, older age,

    poorer QOL, exercise capacity, balanceand muscle power, and slower musclecontraction velocity were related tos l o w e r g a i t s p e e d ( P 0 . 0 4 3 t o0.0001). Forward stepwise regressionmodels revealed that slower muscle con-traction velocity was the sole common in-dependent contributor to both balanceand gait impairment at baseline.

    Balance (P 0.03) and maximal gaitspeed (P 0.005) improved significantlyover time, but there were no group-by-time interactions. Habitual gait speed

    (P

    0.053) and 6-min walk (P

    0.06)showed a trend toward improvementover time. Physiological and health statusdid not significantly change after theintervention.

    Participants with poorer QOL im-proved balance the most (P 0.023). Bycontrast, increased maximal gait speedwas associated with better baselinehealth, muscle function, and exercise ca-pacity. Following stepwise regression,lower baseline blood glucose and %BF in-dependently predicted improved maxi-mal gait speed (r 0.71, P 0.0001),

    accounting for 65% of the variance.Improvements in balance index (r

    0.34, P 0.047) and gait speed (maximalgait speed: r 0.46, P 0.008; habitualgait speed: r 0.44, P 0.011) weresignificantly correlated with compliancebut neither were related to each other(P 0.90) nor could they be explained bychanges in physiological or health status.

    CONCLUSIONS Wereport for thefirst time the novel and robust relation-ships between muscle power and contrac-

    tion velocity and mobility impairment intype 2 diabetes.Muscle contraction veloc-ity was the single characteristic indepen-dently associated with poorerbalance andgait in this cohort.

    After 4 months, Tai Chi providedmodest significant improvements in mo-bility, although not different from shamexercise. The dose and/or movements ofthe Tai Chi for Diabetes program may nothave been sufficient to elicit robust adap-tations. Furthermore, the high prevalenceof obesity and osteoarthritis may havecompromised an optimal training style.

    Table1Baselinecharacteristicsofparticipantsandoutcomes

    afterTaiChiandshamexercise

    Characteristic

    TaiChi(n

    17)

    Shamexercise(control)(n

    18)

    Change

    overtime

    P

    value

    Group

    effect

    P

    value

    Baseline

    Follow-up

    %change

    Baseline

    Follow-up

    %change

    Age(years)

    65.9

    7.4

    64.9

    8.1

    Durationofdiagnosedty

    pe2diabetes(years)

    8.5(025)

    9.0(0.750)

    Numberofcomorbidities

    6.9

    6.7

    6.1

    8.8

    Cognition(030)*

    28(2530)

    27(2330)

    Weight(kg)

    87.5

    13.7

    88.1

    12.3

    1.1

    3.0

    80.7

    16.1

    80.6

    16.2

    0.1

    1.9

    0.2

    0.3

    %BF

    43.0

    4.8

    42.7

    5.7

    0.6

    3.4

    37.3

    8.4

    36.8

    9.1

    1.0

    2.8

    0.1

    0.7

    Waistcircumference(cm

    )

    106.1

    14.6

    108.2

    13.2

    0.5

    3.4

    98.4

    12.6

    98.7

    12.5

    0.4

    2.8

    0.4

    0.9

    Bloodglucose(mmol/l)

    7.6(3.915.6)

    7.5(5.712.5)

    7.7

    28.8

    7.9(5.613.9)

    7.4(5.415.4)

    3.2

    20.4

    0.9

    0.2

    Dailymedications(n)

    7.5

    4.0

    8.2

    4.4

    4.6

    19.7

    6.4

    3.8

    6.8

    4.0

    9.0

    5.9

    0.9

    0.2

    Mobility

    Balanceindex()

    111.1

    23.1

    107.3

    23.1

    2.5

    14.9

    111.5

    22.2

    104.1

    22.2

    5.8

    12.6

    0.03*

    0.5

    Singlelegstance,eyes

    open(s)

    8.96(0.430)

    1

    7.9(0.630)

    47.7(79.2to3,473.2)

    30(1.330)

    24.2(030)

    0(100to407)

    0.6

    0.4

    Singlelegstance,eyes

    closed(s)

    3.9(0.419.6)

    2.8(0.114.0)22.6(93.6to190.9)

    2.2(0.66.0)

    2.0(08.3)

    2

    3.1(100to730)

    0.2

    0.2

    Tandemwalkscore

    19.1

    7.0

    18.1

    8.3

    4.7

    27.6

    18.5

    6.3

    17.2

    6.2

    5.3

    23.4

    0.2

    0.8

    Habitualgaitspeed(m/s)

    1.0

    0.2

    1.1

    0.2

    12.3

    27.4

    1.1

    0.2

    1.2

    0.3

    7.9

    26.6

    0.053

    0.7

    Maximalgaitspeed(m/s)

    1.6

    0.3

    1.7

    0.3

    6.6

    10.3

    1.6

    0.3

    1.7

    0.3

    5.9

    12.8

    0.005

    0.9

    Physiologicalcapacity

    Musclestrength(nmol/l)

    91.3

    31.5

    97.8

    24.8

    12.9

    28.9

    89.7

    30.3

    90.7

    33.8

    4.9

    28.1

    0.3

    0.5

    Peakmusclepower(W

    )

    215.9

    75.4

    220.9

    64.9

    4.8

    18.1

    221.7

    74.5

    217.4

    74.5

    0.4

    16.7

    1.0

    0.5

    Peakmusclevelocity(

    rad/s)

    2.7

    0.8

    2.6

    0.7

    0.8

    34.1

    2.6

    0.8

    2.8

    0.6

    15.5

    46.0

    1.0

    0.3

    Muscleendurance(nu

    mberofrepetitions)

    4(213)

    5.5(014)

    0(100to450)

    4(211)

    3(014)

    3

    6.6(100to200)

    0.5

    0.5

    6-minwalkdistance(m)

    474.0

    76.1

    481.8

    83.0

    1.7

    7.4

    456.6

    117.8

    470.1

    118.2

    3.6

    8.2

    0.06

    0.6

    Valuesofnormallydistribu

    teddataaremeans

    SD.Nonnormallydistributeddataaremedian(range).*Cognitionwa

    sassessedbytheMini-MentalStateExaminatio

    n,whichusesascaleof0-30,withscores24

    indicatingcognitiveimpairment(14).Significantdifferencebetweengro

    upsatbaseline(P

    0.020.04).%BFwasdeterminedusingbioelectricalimpedanceanalys

    is(20).Balanceindex:alowerscoreindicates

    betteroverallbalanceperfo

    rmance(17).Tandemwalkscoreequalstime

    tocompletecourseplusnumberoferrorsmadeduringthetest;alowerscoreindicatesbetterbalance.P

    valuesweredeterminedbyfactorial

    ANOVA.AP

    valueof0.05wasacceptedasstatisticallysignificant.

    Orr and Associates

    DIABETES CARE, VOLUME 29, NUMBER 9, SEPTEMBER 2006 2121

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    Enhanced balance and gait speed werenotrelated to each other. Compliance, how-ever, wasrelatedto improvedmobility, sug-gesting that the observed improvementscannot be solely considered a learning ef-fect. Unmeasured aspects of group partici-pation, such as changes in motor control,socialization, or neuropsychological func-

    tion, may explain our results.In conclusion, mobility impairments

    in an older, obese cohort with type 2 dia-betes are associated with low musclepower and may therefore respond morerobustly to an exercise intervention spe-cifically designed to improve muscle con-traction velocity, such as explosiveresistance (power) training.

    Acknowledgments We thank DouglassHanly Moir Pathology for their sponsorship,Keiser Sports Health for their donation of K400

    Electronics for pneumatic-resistance machines,and the participants for their dedication.

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    Diabetes: mobility impairment and Tai Chi

    2122 DIABETES CARE, VOLUME 29, NUMBER 9, SEPTEMBER 2006