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Effect of type 2 diabetes on energy cost and preferred speed of walking

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European Journal of Applied Physiology Aims and scope Submit manuscript

Abstract

Purpose

Although walking is the most commonly recommended activity for patients with type 2 diabetes (T2D), these patients walk daily less than their healthy peers and adopt a lower self-selected speed. It has been suggested that gait alterations observed in this population could be responsible for a higher metabolic rate (MR) during walking. Thus, the aim of this study was to compare relationship between MR, the energy cost of walking per unit of distance (Cw) and self-selected walking speed in T2D patients and healthy individuals.

Methods

We measured metabolic and spatiotemporal parameters for 20 T2D patients and 20 healthy control subjects, while they walked on a treadmill at different speeds (0.50–1.75 m s−1) using a breath-by-breath gas analyzer and an inertial measurement unit, respectively.

Results

Net MR was 14.3% higher for T2D patients on average across all speeds, and they preferred to walk 6.8% slower at their self-selected compared with their non-diabetics counterparts (1.33 vs. 1.42 m s−1, respectively; p = 0.045). Both groups naturally walked at a self-selected speed close to their minimum gross Cw per distance, with similar values of minimum gross Cw (3.53 and 3.32 J kg−1 m−1 in T2D patients and control subjects, respectively).

Conclusion

When compared with healthy subjects, T2D patients walk with a higher MR at any given speed. Thus, the slower self-selected speed observed in T2D patients seems to correspond to the speed at which their gross energy cost per distance was minimized and allows T2D patients to walk at the same intensity than healthy subjects.

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Abbreviations

ANCOVA:

Analysis of covariance

ANOVA:

Analysis of variance

CI:

Confident interval

Cw:

Cost of walking

T2D:

Type 2 diabetes

MR:

Metabolic rate

\(\dot {V}\)CO2 :

Rate of dioxygen production

\(\dot {V}\)O2 :

Rate of oxygen consumption

References

  • Abate M, Schiavone C, Salini V, Andia I (2013) Occurrence of tendon pathologies in metabolic disorders. Rheumatology 52(4):599–608

    Article  CAS  PubMed  Google Scholar 

  • Alexander RM (1991) Energy-saving mechanisms in walking and running. J Exp Biol 160:55–69

    CAS  PubMed  Google Scholar 

  • Andersen H, Nielsen S, Mogensen CE, Jakobsen J (2004) Muscle strength in type 2 diabetes. Diabetes 53(6):1543–1548

    Article  CAS  PubMed  Google Scholar 

  • Aune D, Norat T, Leitzmann M, Tonstad S, Vatten LJ (2015) Physical activity and the risk of type 2 diabetes: a systematic review and dose-response meta-analysis. Eur J Epidemiol 30(7):529–542

    Article  PubMed  Google Scholar 

  • Boule NG, Haddad E, Kenny GP, Wells GA, Sigal RJ (2001) Effects of exercise on glycemic control and body mass in type 2 diabetes mellitus: a meta-analysis of controlled clinical trials. J Am Med Assoc 286(10):1218–1227

    Article  CAS  Google Scholar 

  • Brockway JM (1987) Derivation of formulae used to calculate energy expenditure in man. Hum Nutr Clin Nutr 41(6):463–471

    CAS  PubMed  Google Scholar 

  • Brown SJ, Handsaker JC, Bowling FL, Maganaris CN, Boulton AJ, Reeves ND (2014) Do patients with diabetic neuropathy use a higher proportion of their maximum strength when walking? J Biomech 47(15):3639–3644

    Article  PubMed  Google Scholar 

  • Browning RC, Baker EA, Herron JA, Kram R (2006) Effects of obesity and sex on the energetic cost and preferred speed of walking. J Appl Physiol 100(2):390–398

    Article  PubMed  Google Scholar 

  • Caron N, Peyrot N, Caderby T, Verkindt C, Dalleau G (2016) Energy expenditure in people with diabetes mellitus: a review. Front Nutr 3:56

    Article  PubMed  PubMed Central  Google Scholar 

  • Couppe C, Svensson RB, Kongsgaard M et al (2016) Human Achilles tendon glycation and function in diabetes. J Appl Physiol 120(2):130–137

    Article  CAS  PubMed  Google Scholar 

  • Fagour C, Gonzalez C, Pezzino S, Florenty S, Rosette-Narece M, Gin H, Rigalleau V (2013) Low physical activity in patients with type 2 diabetes: the role of obesity. Diabetes Metab 39(1):85–87

    Article  CAS  PubMed  Google Scholar 

  • Forouzanfar MH, Alexander L, Anderson HR, Bachman VF, Biryukov S, Brauer M et al (2016) Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 386(10010):2287–2323

    Article  Google Scholar 

  • Gill SV, Narain A (2012) Quantifying the effects of body mass index on safety: reliability of a video coding procedure and utility of a rhythmic walking task. Arch Phys Med Rehabil 93(4):728–730

    Article  PubMed  Google Scholar 

  • Hunter GR, Newcomer BR, Larson-Meyer DE, Bamman MM, Weinsier RL (2001) Muscle metabolic economy is inversely related to exercise intensity and type II myofiber distribution. Muscle Nerve 24(5):654–661

    Article  CAS  PubMed  Google Scholar 

  • Hunter GR, McCarthy JP, Bryan DR, Zuckerman PA, Bamman MM, Byrne NM (2008) Increased strength and decreased flexibility are related to reduced oxygen cost of walking. Eur J Appl Physiol 104(5):895–901

    Article  PubMed  PubMed Central  Google Scholar 

  • Karamanidis K, Arampatzis A, Mademli L (2008) Age-related deficit in dynamic stability control after forward falls is affected by muscle strength and tendon stiffness. J Electromyogr Kines 18(6):980–989

    Article  Google Scholar 

  • Ko SU, Stenholm S, Chia CW, Simonsick EM, Ferrucci L (2011) Gait pattern alterations in older adults associated with type 2 diabetes in the absence of peripheral neuropathy—results from the Baltimore Longitudinal Study of Aging. Gait Posture 34(4):548–552

    Article  PubMed  PubMed Central  Google Scholar 

  • Ko M, Hughes L, Lewis H (2012) Walking speed and peak plantar pressure distribution during barefoot walking in persons with diabetes. Physiother Res Int 17(1):29–35

    Article  PubMed  Google Scholar 

  • Kukidome D, Nishikawa T, Sato M et al (2017) Impaired balance is related to the progression of diabetic complications in both young and older adults. J Diabetes Complicat 31(8):1275–1282

    Article  PubMed  Google Scholar 

  • Kwon OY, Minor SD, Maluf KS, Mueller MJ (2003) Comparison of muscle activity during walking in subjects with and without diabetic neuropathy. Gait Posture 18(1):105–113

    Article  PubMed  Google Scholar 

  • Leenders M, Verdijk LB, van der Hoeven L, Adam JJ, van Kranenburg J, Nilwik R, van Loon LJ (2013) Patients with type 2 diabetes show a greater decline in muscle mass, muscle strength, and functional capacity with aging. J Am Med Dir Assoc 14(8):585–592

    Article  PubMed  Google Scholar 

  • Lelas JL, Merriman GJ, Riley PO, Kerrigan DC (2003) Predicting peak kinematic and kinetic parameters from gait speed. Gait Posture 17(2):106–112

    Article  PubMed  Google Scholar 

  • Malatesta D, Simar D, Dauvilliers Y, Candau R, Ben Saad H, Prefaut C, Caillaud C (2004) Aerobic determinants of the decline in preferred walking speed in healthy, active 65- and 80-year-olds. Pflugers Arch 447(6):915–921

    Article  CAS  PubMed  Google Scholar 

  • Margaria R (1976) Biomechanics and energetics of muscular exercise. Clarendon, Oxford

    Google Scholar 

  • Mendes R, Sousa N, Almeida A, Subtil P, Guedes-Marques F, Reis VM, Themudo-Barata JL (2016) Exercise prescription for patients with type 2 diabetes-a synthesis of international recommendations: narrative review. Br J Sports Med 50(22):1379–1381

    Article  PubMed  Google Scholar 

  • Mian OS, Thom JM, Ardigò LP, Narici MV, Minetti AE (2006) Metabolic cost, mechanical work and efficiency during walking in young and older men. Acta Physiol 186:127–139

    Article  CAS  Google Scholar 

  • Minetti AE, Capelli C, Zamparo P, di Prampero PE, Saibene F (1995) Effects of stride frequency on mechanical power and energy expenditure of walking. Med Sci Sport Exerc 27(8):1194–1202

    Article  CAS  Google Scholar 

  • Morgan P, Embry A, Perry L, Holthaus K, Gregory CM (2015) Feasibility of lower-limb muscle power training to enhance locomotor function poststroke. J Rehabil Res Dev 52(1):77–84

    Article  PubMed  Google Scholar 

  • Petrofsky J, Lee S, Bweir S (2005) Gait characteristics in people with type 2 diabetes mellitus. Eur J Appl Physiol 93(5–6):640–647

    Article  PubMed  Google Scholar 

  • Petrovic M, Deschamps K, Verschueren SM, Bowling FL, Maganaris CN, Boulton AJ, Reeves ND (2016) Is the metabolic cost of walking higher in people with diabetes? J Appl Physiol 120(1):55–62

    Article  CAS  PubMed  Google Scholar 

  • Pop-Busui R, Lu J, Lopes N, Jones TL, BARI 2D Investigators (2009) Prevalence of diabetic peripheral neuropathy and relation to glycemic control therapies at baseline in the BARI 2D cohort. J Peripher Nerv Syst 14(1):1–13

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Raspovic A (2013) Gait characteristics of people with diabetes-related peripheral neuropathy, with and without a history of ulceration. Gait Posture 38(4):723–728

    Article  PubMed  Google Scholar 

  • Sawacha Z, Guarneri G, Cristoferi G, Guiotto A, Avogaro A, Cobelli C (2012a) Integrated kinematics-kinetics-plantar pressure data analysis: a useful tool for characterizing diabetic foot biomechanics. Gait Posture 36(1):20–26

    Article  PubMed  Google Scholar 

  • Sawacha Z, Spolaor F, Guarneri G et al (2012b) Abnormal muscle activation during gait in diabetes patients with and without neuropathy. Gait Posture 35(1):101–105

    Article  PubMed  Google Scholar 

  • Taylor ME, Delbaere K, Mikolaizak AS, Lord SR, Close JC (2013) Gait parameter risk factors for falls under simple and dual task conditions in cognitively impaired older people. Gait Posture 37(1):126–130

    Article  PubMed  Google Scholar 

  • Volpato S, Bianchi L, Lauretani F et al (2012) Role of muscle mass and muscle quality in the association between diabetes and gait speed. Diabetes Care 35(8):1672–1679

    Article  PubMed  PubMed Central  Google Scholar 

  • Winter DA, Yack HJ (1987) EMG profiles during normal human walking: stride-to-stride and inter-subject variability. Electroencephalogr Clin Neurophysiol 67(5):402–411

    Article  CAS  PubMed  Google Scholar 

  • Yavuzer G, Yetkin I, Toruner FB, Koca N, Bolukbasi N (2006) Gait deviations of patients with diabetes mellitus: looking beyond peripheral neuropathy. Eura Medicophys 42(2):127–133

    CAS  PubMed  Google Scholar 

  • Zarrugh MY, Todd FN, Ralston HJ (1974) Optimization of energy expenditure during level walking. Eur J Appl Physiol Occup Physiol 33(4):293–306

    Article  CAS  PubMed  Google Scholar 

  • Zijlstra W, Hof AL (2003) Assessment of spatio-temporal gait parameters from trunk accelerations during human walking. Gait Posture 18(2):1–10

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

The authors wish to express their gratitude to Gwenn Hadu for his technical assistance. The authors declare that they have no conflict of interest.

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Authors and Affiliations

Authors

Contributions

NC, NP, TC, CV and GD conceived and planned the experiments. NC, NP, TC, CV and GD carried out the experiments. NC and NP analysed data. NC wrote the article with support from NP, TC, CV and GD. All authors read and approved the manuscript.

Corresponding author

Correspondence to Georges Dalleau.

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Conflict of interest

None of the authors have a professional relationship with companies or manufacturers that might benefit from the results of the present study. This work was supported by a Regional Research Grant (Grant #D2015033168) from the Réunion Region and from the European Regional Development Fund (FEDER).

Additional information

Communicated by Guido Ferretti.

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Caron, N., Peyrot, N., Caderby, T. et al. Effect of type 2 diabetes on energy cost and preferred speed of walking. Eur J Appl Physiol 118, 2331–2338 (2018). https://doi.org/10.1007/s00421-018-3959-z

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  • DOI: https://doi.org/10.1007/s00421-018-3959-z

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