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ORIGINAL RESEARCH| Volume 102, ISSUE 8, P1482-1489, August 2021

Energy Expenditure and Oxygen Consumption During Activities of Daily Living in People With Multiple Sclerosis and Healthy Subjects: An Ecological Approach to Estimate Real-Life Fatigue and Fatigability

  • Author Footnotes
    ∗ Manca, Ventura, and Martinez contributed equally to this work.
    Andrea Manca
    Footnotes
    ∗ Manca, Ventura, and Martinez contributed equally to this work.
    Affiliations
    Department of Biomedical Sciences, University of Sassari, Sassari
    Search for articles by this author
  • Author Footnotes
    ∗ Manca, Ventura, and Martinez contributed equally to this work.
    ,
    Author Footnotes
    † Supported by the Fondazione Italiana Sclerosi Multipla, Italy (grant no. FISM 2018/R/9).
    Lucia Ventura
    Footnotes
    ∗ Manca, Ventura, and Martinez contributed equally to this work.
    † Supported by the Fondazione Italiana Sclerosi Multipla, Italy (grant no. FISM 2018/R/9).
    Affiliations
    Department of Biomedical Sciences, University of Sassari, Sassari
    Search for articles by this author
  • Author Footnotes
    ∗ Manca, Ventura, and Martinez contributed equally to this work.
    ,
    Author Footnotes
    † Supported by the Fondazione Italiana Sclerosi Multipla, Italy (grant no. FISM 2018/R/9).
    Gianluca Martinez
    Footnotes
    ∗ Manca, Ventura, and Martinez contributed equally to this work.
    † Supported by the Fondazione Italiana Sclerosi Multipla, Italy (grant no. FISM 2018/R/9).
    Affiliations
    Department of Biomedical Sciences, University of Sassari, Sassari
    Search for articles by this author
  • Antonella Cano
    Affiliations
    Department of Biomedical Sciences, University of Sassari, Sassari
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  • Gabriele Matta
    Affiliations
    Department of Biomedical Sciences, University of Sassari, Sassari
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  • Elena Aiello
    Affiliations
    Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy
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  • Franca Deriu
    Correspondence
    Corresponding author Franca Deriu, PhD, Department of Biomedical Sciences, University of Sassari, Viale San Pietro 43/b, 07100 Sassari, Italy.
    Affiliations
    Department of Biomedical Sciences, University of Sassari, Sassari
    Search for articles by this author
  • Author Footnotes
    ∗ Manca, Ventura, and Martinez contributed equally to this work.
    † Supported by the Fondazione Italiana Sclerosi Multipla, Italy (grant no. FISM 2018/R/9).
Published:February 01, 2021DOI:https://doi.org/10.1016/j.apmr.2020.12.024

      Abstract

      Objective

      To compare oxygen consumption and energy expenditure (EE) of the activities of daily living (ADL) in people with multiple sclerosis (PwMS) and healthy subjects.

      Design

      Cross-sectional observational study.

      Setting

      Outpatient care facilities.

      Participants

      Twenty-four moderately impaired PwMS and 21 healthy controls (N=45).

      Intervention

      Not applicable.

      Main Outcome Measures

      Oxygen consumption, EE rate, and total EE assessed by portable open-circuit spirometry during the accomplishment of a comprehensive set of 14 ADL. Body composition was also assessed with bioelectrical impedance analysis. Body cell mass was used to normalize metabolic rates between groups.

      Results

      PwMS exhibited significantly higher oxygen consumption than controls in transfer and mobility tasks (walking with stairs: +10.4%, P=.04; without stairs: +15.2%, P=.002; driving: +10.4%, P=.04) and higher EE rates for walking (+13.6%, P=.01). ADL completion took significantly longer in PwMS. Consequently, when total EE to complete each ADL was considered, PwMS used significantly more energy in 10 of the 14 ADL. Of these, “climb stairs” and walking with or without stairs showed the largest differences (+100%, +99.5%, +79.3%, respectively; all P values<.0005), followed by “dressing” (+48.8%; P=.002), “laundry” (+41.7%; P=.007), and “shopping” (+40.1%; P=.003).

      Conclusions

      Moderately disabled PwMS display oxygen consumption and EE rates during ADL that are comparable to those of matched healthy subjects, except for the activities that involve walking. Although metabolic rates were not different for the majority of ADL, PwMS showed higher total EE to complete the same activities at a comparable work intensity, which may contribute to the burden of “real-life” tiredness and fatigue typically described in this population. Importantly, the subjective Modified Fatigue Impact Scale score significantly correlated to EE and oxygen consumption of selected ADL, such as “make a bed,” “driving,” “clean surfaces,” and “climb stairs.” The joint employment of open-circuit spirometry during ADL and body composition analysis allows an accurate metabolic characterization of PwMS, who frequently complain of fatigue.

      Keywords

      List of abbreviations:

      ADL (activities of daily living), ANOVA (analysis of variance), BCM (body cell mass), BW (body weight), EDSS (Expanded Disability Status Scale), EE (energy expenditure), MFIS (Modified Fatigue Impact Scale), MS (multiple sclerosis), O2 (oxygen), PwMS (people with multiple sclerosis), V̇o2 (oxygen consumption)
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      References

        • Penner I.K.
        • Paul F.
        Fatigue as a symptom or comorbidity of neurological diseases.
        Nat Rev Neurol. 2017; 13: 662-675
        • Colosimo C.
        • Millefiorini E.
        • Grasso M.G.
        • et al.
        Fatigue in MS is associated with specific clinical features.
        Acta Neurol Scand. 1995; 92: 353-355
        • Minden S.L.
        • Frankel D.
        • Hadden L.
        • Perloffp J.
        • Srinath K.P.
        • Hoaglin D.C.
        The Sonya Slifka Longitudinal Multiple Sclerosis Study: methods and sample characteristics.
        Mult Scler. 2006; 12: 24-38
        • Patrick E.
        • Christodoulou C.
        • Krupp L.B.
        New York State MS Consortium. Longitudinal correlates of fatigue in multiple sclerosis.
        Mult Scler. 2009; 15: 258-261
        • Dalgas U.
        • Stenager E.
        • Jakobsen J.
        • et al.
        Resistance training improves muscle strength and functional capacity in multiple sclerosis.
        Neurology. 2009; 73: 1478-1484
        • Zijdewind I.
        • Prak R.F.
        • Wolkorte R.
        Fatigue and fatigability in persons with multiple sclerosis.
        Exerc Sport Sci Rev. 2016; 44: 123-128
        • Kluger B.M.
        • Krupp L.B.
        • Enoka R.M.
        Fatigue and fatigability in neurologic illnesses: proposal for a unified taxonomy.
        Neurology. 2013; 80: 409-416
        • Comi G.
        • Leocani L.
        • Rossi P.
        • Colombo B.
        Physiopathology and treatment of fatigue in multiple sclerosis.
        J Neurol. 2001; 248: 174-179
        • Langeskov-Christensen M.
        • Langeskov-Christensen D.
        • Overgaard K.
        • Møller A.B.
        • Dalgas U.
        Validity and reliability of VO2-max measurements in persons with multiple sclerosis.
        J Neurol Sci. 2014; 342: 79-87
        • Kerling A.
        • Keweloh K.
        • Tegtbur U.
        • et al.
        Physical capacity and quality of life in patients with multiple sclerosis.
        NeuroRehabilitation. 2014; 35: 97-104
        • Heine M.
        • Wens I.
        • Langeskov-Christensen M.
        • et al.
        Cardiopulmonary fitness is related to disease severity in multiple sclerosis.
        Mult Scler. 2016; 22: 231-238
        • Motl R.W.
        • Sandroff B.M.
        • Suh Y.
        • Sosnoff J.J.
        Energy cost of walking and its association with gait parameters, daily activity, and fatigue in persons with mild multiple sclerosis.
        Neurorehabil Neural Repair. 2012; 26: 1015-1021
        • Buoite Stella A.
        • Morelli M.E.
        • Giudici F.
        • Sartori A.
        • Manganotti P.
        • di Prampero P.E.
        Comfortable walking speed and energy cost of locomotion in patients with multiple sclerosis.
        Eur J Appl Physiol. 2020; 120: 551-566
        • Devasahayam A.J.
        • Kelly L.P.
        • Wallack E.M.
        • Ploughman M.
        Oxygen cost during mobility tasks and its relationship to fatigue in progressive multiple sclerosis.
        Arch Phys Med Rehabil. 2019; 100: 2079-2088
        • Coote S.
        • O'Dwyer C.
        Energy expenditure during everyday activities-a study comparing people with varying mobility limitations due to multiple sclerosis and healthy controls.
        Disabil Rehabil. 2014; 36: 2059-2064
        • Thompson A.J.
        • Banwell B.L.
        • Barkhof F.
        • et al.
        Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria.
        Lancet Neurol. 2018; 17: 162-173
        • Mahoney F.I.
        • Barthel D.W.
        Functional evaluation: the Barthel Index.
        Md State Med J. 1965; 14: 61-65
        • Katz S.
        • Ford A.B.
        • Moskowitz R.W.
        • Jackson B.A.
        • Jaffe M.W.
        Studies of illness in the aged. The index of ADL: a standardized measure of biological and psychosocial function.
        JAMA. 1963; 185: 914-919
        • Heinemann A.W.
        • Linacre J.M.
        • Wright B.D.
        • Hamilton B.B.
        • Granger C.
        Relationships between impairment and physical disability as measured by the functional independence measure.
        Arch Phys Med Rehabil. 1993; 74: 566-573
        • Wade D.T.
        • Legh-Smith J.
        • Langton Hewer R.
        Social activities after stroke: measurement and natural history using the Frenchay Activities Index.
        Int Rehabil Med. 1985; 7: 176-181
        • Lawton M.P.
        • Brody E.M.
        Assessment of older people: self-maintaining and instrumental activities of daily living.
        Gerontologist. 1969; 9: 179-186
        • Nouri F.M.
        • Lincoln N.B.
        An extended activities of daily living scale for stroke patients.
        Clin Rehabil. 1987; 1: 301-305
        • Hsieh C.L.
        • Hsueh I.P.
        • Mao H.F.
        Validity and responsiveness of the Rivermead mobility index in stroke patients.
        Scand J Rehabil Med. 2000; 32: 140-142
        • Edwards N.
        • Lockett D.
        Development and validation of a modified falls-efficacy scale.
        Disabil Rehabil Assist Technol. 2008; 3: 193-200
        • Hudak P.L.
        • Amadio P.C.
        • Bombardier C.
        Development of an upper extremity outcome measure: the DASH (disabilities of the arm, shoulder and hand). The Upper Extremity Collaborative Group (UECG).
        Am J Ind Med. 1996; 29: 602-608
        • Chung K.C.
        • Pillsbury M.S.
        • Walters M.R.
        • Hayward R.A.
        Reliability and validity testing of the Michigan Hand Outcomes Questionnaire.
        J Hand Surg Am. 1998; 23: 575-587
        • Jeukendrup A.E.
        • Wallis G.A.
        Measurement of substrate oxidation during exercise by means of gas exchange measurements.
        Int J Sports Med. 2005; 26: S28-37
        • Kyle U.G.
        • Bosaeus I.
        • De Lorenzo A.D.
        • et al.
        Bioelectrical impedance analysis--part I: review of principles and methods.
        Clin Nutr. 2004; 23: 1226-1243
        • Tarnopolsky M.A.
        Gender differences in substrate metabolism during endurance exercise.
        Can J Appl Physiol. 2000; 25: 312-327
        • Talluri A.
        • Liedtke R.
        • Mohamed E.I.
        • Maiolo C.
        • Martinoli R.
        • De Lorenzo A.
        The application of body cell mass index for studying muscle mass changes in health and disease conditions.
        Acta Diabetol. 2003; 40: S286-S289
        • Formica C.A.
        • Cosman F.
        • Nieves J.
        • Herbert J.
        • Lindsay R.
        (1997) Reduced bone mass and fat-free mass in women with multiple sclerosis: effects of ambulatory status and glucocorticoid Use.
        Calcif Tissue Int. 1997; 61: 129-133
        • Ward C.L.
        • Suh Y.
        • Lane A.D.
        • et al.
        Body composition and physical function in women with multiple sclerosis.
        J Rehabil Res Dev. 2013; 50: 1139-1147
        • Faul F.
        • Erdfelder E.
        • Lang A.G.
        • Buchner A.G.
        ∗Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences.
        Behav Res Methods. 2007; 39: 175-191
        • Franceschini M.
        • Rampello A.
        • Bovolenta F.
        • Aiello M.
        • Tzani P.
        • Chetta A.
        Cost of walking, exertional dyspnoea and fatigue in individuals with multiple sclerosis not requiring assistive devices.
        J Rehabil Med. 2010; 42: 719-723
        • Motl R.W.
        • Suh Y.
        • Dlugonski D.
        • et al.
        Oxygen cost of treadmill and over-ground walking in mildly disabled persons with multiple sclerosis.
        Neurol Sci. 2011; 32: 255-262