Dietary approaches to treat MS-related fatigue: comparing the modified Paleolithic (Wahls Elimination) and low saturated fat (Swank) diets on perceived fatigue in persons with relapsing-remitting multiple sclerosis: study protocol for a randomized controlled trial

Terry Wahls, Maria O Scott, Zaidoon Alshare, Linda Rubenstein, Warren Darling, Lucas Carr, Karen Smith, Catherine A Chenard, Nicholas LaRocca, Linda Snetselaar, Terry Wahls, Maria O Scott, Zaidoon Alshare, Linda Rubenstein, Warren Darling, Lucas Carr, Karen Smith, Catherine A Chenard, Nicholas LaRocca, Linda Snetselaar

Abstract

Background: Fatigue is one of the most disabling symptoms of multiple sclerosis (MS) and contributes to diminishing quality of life. Although currently available interventions have had limited success in relieving MS-related fatigue, clinically significant reductions in perceived fatigue severity have been reported in a multimodal intervention pilot study that included a Paleolithic diet in addition to stress reduction, exercise, and electrical muscle stimulation. An optimal dietary approach to reducing MS-related fatigue has not been identified. To establish the specific effects of diet on MS symptoms, this study focuses on diet only instead of the previously tested multimodal intervention by comparing the effectiveness of two dietary patterns for the treatment of MS-related fatigue. The purpose of this study is to determine the impact of a modified Paleolithic and low saturated fat diet on perceived fatigue (primary outcome), cognitive and motor symptoms, and quality of life in persons with relapsing-remitting multiple sclerosis (RRMS).

Methods/design: This 36-week randomized clinical trial consists of three 12-week periods during which assessments of perceived fatigue, quality of life, motor and cognitive function, physical activity and sleep, diet quality, and social support for eating will be collected. The three 12-week periods will consist of the following: 1.

Observation: Participants continue eating their usual diet. 2.

Intervention: Participants will be randomized to a modified Paleolithic or low saturated fat diet for the intervention period. Participants will receive support from a registered dietitian (RD) through in-person coaching, telephone calls, and emails. 3.

Follow-up: Participants will continue the study diet for an additional 12 weeks with minimal RD support to assess the ability of the participants to sustain the study diet on their own.

Discussion: Because fatigue is one of the most common and disabling symptoms of MS, effective management and reduction of MS-related fatigue has the potential to increase quality of life in this population. The results of this study will add to the evidence base for providing dietary recommendations to treat MS-related fatigue and other symptoms associated with this disease.

Trial registration: ClinicalTrials.gov, NCT02914964 . Registered on 24 August 2016.

Keywords: Accelerometer; Diet; Fatigue; Intervention; Multiple sclerosis; Quality of life; Swank diet; Wahls elimination diet.

Conflict of interest statement

Ethics approval and consent to participate

Ethical approval was obtained from the University of Iowa Institutional Review Board (IRB identifier 201604705). Informed consent will be obtained from all study participants.

Competing interests

The University of Iowa has imposed a Conflict of Interest Management Plan on TW to ensure that the research is conducted without bias. The other authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Figures

Fig. 1
Fig. 1
Dietary Approaches to Treat Multiple Sclerosis-Related Fatigue Study flowchart. MS Multiple sclerosis RRMS Relapsing-remitting multiple sclerosis
Fig. 2
Fig. 2
Standard Protocol Items: Recommendation for Interventional Trials (SPIRIT): the schedule of enrollment, interventions, and assessments. SPMSQ Short Portable Mental Status Questionnaire, FSS Fatigue Severity Scale, 9HPT 9-Hole Peg Test, T25FW Timed 25-foot walk, SDMT-O Symbol Digit Modalities Test–Oral, 6MWT 6-Minute walk test, MSQ Medical Symptoms Questionnaire, MFIS Modified Fatigue Impact Scale, MSQOL54 Multiple Sclerosis Quality of Life 54, FSMCF Fatigue Scale for Motor and Cognitive Function, MSIS v2 Multiple Sclerosis Impact Scale version 2, HADS Hospital Anxiety and Depression Scale, PSQI, PSS 10 Perceived Stress Scale 10, IPAQ-L International Physical Activity Questionnaire–Long, SF36 36-Item Short Form Health Survey, PDQ Perceived Deficits Questionnaire, MHI Mental Health Inventory, FFQ Food Frequency Questionnaire

References

    1. Fisk JD, Pontefract A, Ritvo PG, Archibald CJ, Murray TJ. The impact of fatigue on patients with multiple sclerosis. Can J Neurol Sci. 1994;21(1):9–14. doi: 10.1017/S0317167100048691.
    1. Krupp LB, Alvarez LA, LaRocca NG, Scheinberg LC. Fatigue in multiple sclerosis. Arch Neurol. 1988;45(4):435–437. doi: 10.1001/archneur.1988.00520280085020.
    1. Krupp LB. Fatigue in multiple sclerosis: definition, pathophysiology and treatment. CNS Drugs. 2003;17(4):225–234. doi: 10.2165/00023210-200317040-00002.
    1. Bisht B, Darling WG, Grossmann RE, Shivapour ET, Lutgendorf SK, Snetselaar LG, et al. A multimodal intervention for patients with secondary progressive multiple sclerosis: feasibility and effect on fatigue. J Altern Complement Med. 2014;20(5):347–355. doi: 10.1089/acm.2013.0188.
    1. Bisht B, Darling WG, Shivapour ET, Lutgendorf SK, Snetselaar LG, Chenard CA, Wahls TL. Multimodal intervention improves fatigue and quality of life of subjects with progressive multiple sclerosis: a pilot study. Degener Neurol Neuromuscul Dis. 2015(5):19–35. 10.2147/DNND.S76523.
    1. Pucci E, Branas P, D’Amico R, Giuliani G, Solari A, Taus C. Amantadine for fatigue in multiple sclerosis. Cochrane Database Syst Rev. 2007;(1):CD002818. 10.1002/14651858.CD002818.pub2.
    1. Rammohan KW, Rosenberg JH, Lynn DJ, Blumenfeld AM, Pollak CP, Nagaraja HN. Efficacy and safety of modafinil (Provigil) for the treatment of fatigue in multiple sclerosis: a two centre phase 2 study. J Neurol Neurosurg Psychiatry. 2002;72(2):179–183. doi: 10.1136/jnnp.72.2.179.
    1. Stankoff B, Waubant E, Confavreux C, Edan G, Debouverie M, Rumbach L, French Modafinil Study Group Modafinil for fatigue in MS: a randomized placebo-controlled double-blind study. Neurology. 2005;64(7):1139–1143. doi: 10.1212/01.WNL.0000158272.27070.6A.
    1. Naldi L, Conti A, Cazzaniga S, Patrizi A, Pazzaglia M, Lanzoni A, et al.; Psoriasis Emilia Romagna Study Group. Diet and physical exercise in psoriasis: a randomized controlled trial. Br J Dermatol. 2014;170(3):634–642. doi: 10.1111/bjd.12735.
    1. Sedlacek SM, Playdon MC, Wolfe P, Μginley JN, Wisthoff MR, Daeninck EA, Jiang W, Zhu Z, Thompson HJ. Effect of a low fat versus a low carbohydrate weight loss dietary intervention on biomarkers of long term survival in breast cancer patients (‘CHOICE’): study protocol. BMC Cancer. 2011;11:287. doi: 10.1186/1471-2407-11-287.
    1. Self S, Prentice R, Iverson D, Henderson M, Thompson D, Byar D, et al. Statistical design of the Women’s Health Trial. Control Clin Trials. 1988;9(2):119–136. doi: 10.1016/0197-2456(88)90033-5.
    1. Stafstrom CE, Rho JM. The ketogenic diet as a treatment paradigm for diverse neurological disorders. Front Pharmacol. 2012;3:59. doi: 10.3389/fphar.2012.00059.
    1. Lauer K. Environmental risk factors in multiple sclerosis. Expert Rev Neurother. 2010;10(3):421–440. doi: 10.1586/ern.10.7.
    1. Swank RL, Grimsgaard A. Multiple sclerosis: the lipid relationship. Am J Clin Nutr. 1988;48(6):1387–1393. doi: 10.1093/ajcn/48.6.1387.
    1. Swank RL, Lerstad O, Strom A, Backer J. Multiple sclerosis in rural Norway its geographic and occupational incidence in relation to nutrition. N Engl J Med. 1952;246(19):722–728. doi: 10.1056/NEJM195205082461901.
    1. Swank RL. Treatment of multiple sclerosis with low-fat diet. AMA Arch Neurol Psychiatry. 1953;69(1):91–103. doi: 10.1001/archneurpsyc.1953.02320250097011.
    1. Swank RL. Treatment of multiple sclerosis with low-fat diet; results of five and one-half years’ experience. AMA Arch Neurol Psychiatry. 1955;73(6):631–644. doi: 10.1001/archneurpsyc.1955.02330120035004.
    1. Swank RL. Treatment of multiple sclerosis with low-fat diet: result of seven years’ experience. Ann Intern Med. 1956;45(5):812–824. doi: 10.7326/0003-4819-45-5-812.
    1. Swank RL. Multiple sclerosis: twenty years on low fat diet. Arch Neurol. 1970;23(5):460–474. doi: 10.1001/archneur.1970.00480290080009.
    1. Swank RL. Multiple sclerosis: fat-oil relationship. Nutrition. 1991;7(5):368–376.
    1. Swank RL, Goodwin J. Review of MS patient survival on a Swank low saturated fat diet. Nutrition. 2003;19(2):161–162. doi: 10.1016/S0899-9007(02)00851-1.
    1. Swank RL, Dugan BB. Effect of low saturated fat diet in early and late cases of multiple sclerosis. Lancet. 1990;336(8706):37–39. doi: 10.1016/0140-6736(90)91533-G.
    1. He K, Hu FB, Colditz GA, Manson JE, Willett WC, Liu S. Changes in intake of fruits and vegetables in relation to risk of obesity and weight gain among middle-aged women. Int J Obes Relat Metab Disord. 2004;28(12):1569–1574. doi: 10.1038/sj.ijo.0802795.
    1. Davis W, van Rensburg SJ, Cronje FJ, Whati L, Fisher LR, van der Merwe L, Geiger D, Hassan MS, Matsha T, Erasmus RT, Kotze MJ. The fat mass and obesity-associated FTO rs9939609 polymorphism is associated with elevated homocysteine levels in patients with multiple sclerosis screened for vascular risk factors. Metab Brain Dis. 2014;29(2):409–419.
    1. Lee JE, Bisht B, Hall MJ, Rubenstein LM, Louison R, Klein DT, Wahls TL. A multimodal, nonpharmacologic intervention improves mood and cognitive function in people with multiple sclerosis. J Am Coll Nutr. 2017;36(3):150–168. doi: 10.1080/07315724.2016.1255160.
    1. Yadav V, Marracci G, Kim E, Spain R, Cameron M, Overs S, Riddehough A, Li DK, McDougall J, Lovera J, Murchison C, Bourdette D. Low-fat, plant-based diet in multiple sclerosis: a randomized controlled trial. Mult Scler Relat Disord. 2016;9:80–90. doi: 10.1016/j.msard.2016.07.001.
    1. Eaton SB, Konner M. Paleolithic nutrition: a consideration of its nature and current implications. N Engl J Med. 1985;(5):312, 283–289. 10.1056/NEJM198501313120505.
    1. Cordain L, Eaton SB, Sebastian A, Mann N, Lindeberg S, Watkins BA, et al. Origins and evolution of the Western diet: health implications for the 21st century. Am J Clin Nutr. 2005;81(2):341–354. doi: 10.1093/ajcn.81.2.341.
    1. Cordain L, Toohey L, Smith MJ, Hickey MS. Modulation of immune function by dietary lectins in rheumatoid arthritis. Br J Nutr. 2000;83(3):207–217. doi: 10.1017/S0007114500000271.
    1. Osterdahl M, Kocturk T, Koochek A, Wandell PE. Effects of a short-term intervention with a paleolithic diet in healthy volunteers. Eur J Clin Nutr. 2008;62(5):682–685. doi: 10.1038/sj.ejcn.1602790.
    1. Frassetto LA, Schloetter M, Mietus-Synder M, Morris RC, Jr, Sebastian A. Metabolic and physiologic improvements from consuming a paleolithic, hunter-gatherer type diet. Eur J Clin Nutr. 2009;63(8):947–955. doi: 10.1038/ejcn.2009.4.
    1. Jönsson T, Granfeldt Y, Lindeberg S, Hallberg AC. Subjective satiety and other experiences of a Paleolithic diet compared to a diabetes diet in patients with type 2 diabetes. Nutr J. 2013;12:105. doi: 10.1186/1475-2891-12-105.
    1. Jönsson T, Granfeldt Y, Ahren B, Branell UC, Palsson G, Hansson A, et al. Beneficial effects of a Paleolithic diet on cardiovascular risk factors in type 2 diabetes: a randomized cross-over pilot study. Cardiovasc Diabetol. 2009;8:35. doi: 10.1186/1475-2840-8-35.
    1. Boers I, Muskiet FA, Berkelaar E, Schut E, Penders R, Hoenderdos K, et al. Favourable effects of consuming a Palaeolithic-type diet on characteristics of the metabolic syndrome: a randomized controlled pilot-study. Lipids Health Dis. 2014;13:160. doi: 10.1186/1476-511X-13-160.
    1. Irish AK, Erickson CM, Wahls TL, Stenselaar LG, Darling WG. Randomized control trial evaluation of a modified Paleolithic dietary intervention in the treatment of relapsing-remitting multiple sclerosis: a pilot study. Degener Neurol Neuromuscul Dis. 2017;7:1–18.
    1. Polman CH, Reingold SC, Banwell B, Clanet M, Cohen JA, Filippi M, et al. Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol. 2011;69(2):292–302. doi: 10.1002/ana.22366.
    1. Pfeiffer E. A short portable mental status questionnaire for the assessment of organic brain deficit in elderly patients. J Am Geriatr Soc. 1975;23(10):433–441. doi: 10.1111/j.1532-5415.1975.tb00927.x.
    1. The Swank MS Foundation . The Swank low-fat diet for the treatment of MS. 2015.
    1. Benarous X, Legrand C, Consoli SM. Motivational interviewing use for promoting health behavior: an approach of doctor/patient relationship [in French] Rev Med Interne. 2014;35(5):317–321. doi: 10.1016/j.revmed.2013.08.009.
    1. Kristensen ST, Køster A. Contextualising eating problems in individual diet counselling. Health (London) 2014;18(3):319–331. doi: 10.1177/1363459313516136.
    1. Miller WR, Rollnick S. Meeting in the middle: motivational interviewing and self-determination theory. Int J Behav Nutr Phys Act. 2012;9:25. doi: 10.1186/1479-5868-9-25.
    1. Patrick H, Williams GC. Self-determination theory: its application to health behavior and complementarity with motivational interviewing. Int J Behav Nutr Phys Act. 2012;9:18. doi: 10.1186/1479-5868-9-18.
    1. Vansteenkiste M, Sheldon KM. There’s nothing more practical than a good theory: integrating motivational interviewing and self-determination theory. Br J Clin Psychol. 2006;45(Pt 1):63–82. doi: 10.1348/014466505X34192.
    1. McMaster F, Resnicow K. Validation of the one pass measure for motivational interviewing competence. Patient Educ Couns. 2015;98(4):499–505. doi: 10.1016/j.pec.2014.12.014.
    1. Krupp LB. Mechanisms, measurement, and management of fatigue in multiple sclerosis. In: Thompson AJ, Polman C, Hohlfeld R, editors. Multiple sclerosis: clinical challenges and controversies. London: Martin Dunitz. 1997. pp. 283–294.
    1. Goldman MD, Marrie RA, Cohen JA. Evaluation of the six-minute walk in multiple sclerosis subjects and healthy controls. Mult Scler. 2008;14(3):383–390. doi: 10.1177/1352458507082607.
    1. Vickrey BG, Hays RD, Harooni R, Myers LW, Ellison GW. A health-related quality of life measure for multiple sclerosis. Qual Life Res. 1995;4(3):187–206. doi: 10.1007/BF02260859.
    1. Watson TM, Ford E, Worthington E, Lincoln NB. Validation of mood measures for people with multiple sclerosis. Int J MS Care. 2014;16(2):105–109. doi: 10.7224/1537-2073.2013-013.
    1. Miller DM, Cohen JA, Kooijmans M, Tsao E, Cutter G, Baier M. Change in clinician-assessed measures of multiple sclerosis and subject-reported quality of life: results from the IMPACT study. Mult Scler. 2006;12(2):180–186. doi: 10.1191/135248506ms1270oa.
    1. Lee EH. Review of the psychometric evidence of the Perceived Stress Scale. Asian Nurs Res. 2012;6(4):121–127. doi: 10.1016/j.anr.2012.08.004.
    1. Myers J, Bader D, Madhavan R, Froelicher V. Validation of a specific activity questionnaire to estimate exercise tolerance in patients referred for exercise testing. Am Heart J. 2001;142(6):1041–1046. doi: 10.1067/mhj.2001.118740.
    1. Buysse DJ, Reynolds CF, 3rd, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989;28(2):193–213. doi: 10.1016/0165-1781(89)90047-4.
    1. National Cancer Institute. Food Record at a Glance: Dietary Assessment Primer 2018. .
    1. Harttig U, Haubrock J, Knuppel S, Boeing H. The MSM program: web-based statistics package for estimating usual dietary intake using the Multiple Source Method. Eur J Clin Nutr. 2011;65(Suppl 1):S87–S91. doi: 10.1038/ejcn.2011.92.
    1. Thompson FE, Kirkpatrick SI, Subar AF, Reedy J, Schap TE, Wilson MM, Krebs-Smith SM. The National Cancer Institute’s Dietary Assessment Primer: a resource for diet research. J Acad Nutr Diet. 2015;115(12):1986–1995. doi: 10.1016/j.jand.2015.08.016.
    1. Sallis JF, Grossman RM, Pinski RB, Patterson TL, Nader PR. The development of scales to measure social support for diet and exercise behaviors. Prev Med. 1987;16(6):825–836. doi: 10.1016/0091-7435(87)90022-3.
    1. National Center for Health Statistics and the National Center for Complementary and Integrative Health. National Health Interview Survey. 2012. Available at:
    1. Swank RL, Dugan BB. The Multiple Sclerosis Diet Book: A Low-Fat Diet for the Treatment of M.S. Garden City, N.Y.: Doubleday and Company; 1987.
    1. Wahls T, Adamson E. The Wahls Protocol: A Radical New Way to Treat All Chronic Autoimmune Conditions Using Paleo Principles. New York, N.Y.: Avery/Penguin; 2014.
    1. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap) - a metadata-driven methodology and workflow for providing translational research informatics support. J Biomed Inform. 2009;42(2):377-81. 10.1016/j.jbi.2008.08.010.
    1. Dawson JD. Statification of summary statistic tests according to missing data patterns. Stat Med.1994;13(18):1853-63.

Source: PubMed

3
Tilaa