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Active, not recruitingNCT07497126Updated Mar 27, 2026

The Prevalance of Malnutrition and Its Association With Disability in Patients With Relapsing-Remitting Multiple Sclerosis

An observational study in Relapsing Remitting Multiple Sclerosis (RRMS) and Malnutrition or Risk of Malnutrition, sponsored by Antalya Training and Research Hospital. Active, not recruiting at 1 site in Turkey (Türkiye). Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-03-27.

Sponsored by Antalya Training and Research Hospital · Observational

Study type
Observational
Model
Case-control
Time perspective
Prospective
Enrollment
169
Ages
18 Years and older
Sex
All
01

Study summary

This prospective observational study aims to determine the prevalence of malnutrition in patients with relapsing-remitting multiple sclerosis and to evaluate its association with disability. Nutritional status will be assessed using the Mini Nutritional Assessment-Short Form, and body composition will be evaluated with bioelectrical impedance analysis and anthropometric measurements. The study will also assess urinary incontinence, depression, and anger-related features, and compare the findings with those of healthy controls.

Read the detailed description

Multiple sclerosis is a chronic inflammatory and demyelinating disease of the central nervous system that may lead to disability, reduced mobility, bladder dysfunction, depression, and impaired quality of life. In the early stages of the disease, overweight and obesity may be common, whereas with disease progression, malnutrition and cachexia may become more prominent. Malnutrition may contribute to muscle loss, reduced mobility, worsening functional status, and increased clinical burden.

This single-center, hospital-based, prospective cross-sectional observational study will be conducted in the multiple sclerosis and neurology outpatient clinics of Antalya Training and Research Hospital. Adult patients diagnosed with relapsing-remitting multiple sclerosis and healthy controls will be included. Nutritional status will be assessed using the Mini Nutritional Assessment-Short Form. Body composition and anthropometric parameters, including waist-to-height ratio, waist-to-hip ratio, body fat percentage, fat mass, fat-free mass, total body water, and predicted muscle mass, will be evaluated using bioelectrical impedance analysis and standard anthropometric measurements. Disability in the patient group will be assessed with the Expanded Disability Status Scale. Depression, anger-related characteristics, and urinary incontinence profiles will also be evaluated using structured questionnaires and validated scales.

The study is designed to investigate the prevalence of malnutrition in relapsing-remitting multiple sclerosis, compare nutritional and related clinical parameters with healthy controls, and examine the relationship between malnutrition, body composition, and disability.

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Conditions studied

  • Relapsing Remitting Multiple Sclerosis (RRMS)
  • Malnutrition or Risk of Malnutrition

Keywords

  • malnutrition
  • disability
  • nutritional status
  • MNA-SF
  • bioelectrical impedance analysis
  • anthropometric measurements
  • multiple sclerosis
  • urinary incontinence
  • depression
  • anger
  • healthy controls
03

In context

Multiple Sclerosis, Relapsing-Remitting

602 studies on the registry are indexed under Multiple Sclerosis, Relapsing-Remitting; 80 are open to participants now.

This study's enrollment of 169 is above the median of 116 across 151 observational studies indexed under Multiple Sclerosis, Relapsing-Remitting.

Browse Multiple Sclerosis, Relapsing-Remitting studies →

Lead sponsor

Antalya Training and Research Hospital is the lead sponsor of 102 studies on the registry; 11 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

This study population will consist of adults aged 18 years or older. The patient group will include individuals with relapsing-remitting multiple sclerosis who are followed in the neurology outpatient clinic of Antalya Training and Research Hospital and meet the predefined inclusion and exclusion criteria. A healthy control group of adult volunteers without multiple sclerosis will be recruited for comparison.

Inclusion criteria

  • Age 18 years or older
  • Diagnosis of relapsing-remitting multiple sclerosis for the patient group
  • Absence of another medical condition that markedly impairs walking, such as severe cardiovascular disease, respiratory disease, or major orthopedic conditions
  • Healthy volunteers willing to participate as controls
  • Written informed consent provided

Exclusion criteria

Exclusion Criteria:

  • EDSS score ≥7 in the relapsing-remitting multiple sclerosis group
  • Multiple sclerosis relapse during the last 30 days
  • Systemic glucocorticoid treatment during the last 30 days
  • History of musculoskeletal disease
  • History of neuromuscular junction disease
05

Study design

Observational model
Case-control
Time perspective
Prospective
Enrollment
169 participants (actual)
Patient registry
No

Groups and cohorts

  • Patients

    Patients with Relapsing-Remitting Multiple Sclerosis

  • Controls

    Healthy Controls

06

What researchers measure

Primary outcomes

  1. Prevalence of malnutrition assessed by Mini Nutritional Assessment-Short Form

    Malnutrition status and risk of malnutrition will be assessed using the Mini Nutritional Assessment-Short Form (MNA-SF) in patients with relapsing-remitting multiple sclerosis and healthy controls. MNA-SF is a screening tool with a total score ranging from 0 to 14. Lower scores indicate worse nutritional status. Scores from 12 to 14 indicate normal nutritional status, scores from 8 to 11 indicate risk of malnutrition, and scores from 0 to 7 indicate malnutrition. The relationships between MNA-SF and anthropometric, body composition, depressive and anger-related variables will also be evaluated.

    Time frame: At baseline

Secondary outcomes

  1. Expanded Disability Status Scale score

    Disability severity will be assessed in patients with Multiple Sclerosis (MS) using the Expanded Disability Status Scale (EDSS), which ranges from 0 to 10 in 0.5-point increments. Higher scores indicate worse disability. A score of 0 indicates normal neurological status, and a score of 10 indicates death due to MS. The relationships between disability severity and anthropometric, body composition, depressive, anger-related, and urinary incontinence-related variables will also be evaluated.

    Time frame: At baseline

  2. Height as an anthropometric measurement

    Height will be measured in meters in both patients with relapsing-remitting multiple sclerosis and healthy controls.

    Time frame: At baseline

  3. Body weight as an anthropometric measurement

    Body weight will be measured in kilograms in both patients with relapsing-remitting multiple sclerosis and healthy controls.

    Time frame: At baseline

  4. Body mass index as an anthropometric measurement

    Body mass index (BMI) will be calculated in kilograms per square meter (kg/m²) using measured body weight and height in both patients with relapsing-remitting multiple sclerosis and healthy controls.

    Time frame: At baseline

  5. Waist circumference as an anthropometric measurement

    Waist circumference will be measured in centimeters in both patients with relapsing-remitting multiple sclerosis and healthy controls.

    Time frame: At baseline

  6. Hip circumference as an anthropometric measurement

    Hip circumference will be measured in centimeters in both patients with relapsing-remitting multiple sclerosis and healthy controls.

    Time frame: At baseline

  7. Waist-to-height ratio as an anthropometric measurement

    Waist-to-height ratio (WHtR) will be calculated using waist circumference and height measurements in both patients with relapsing-remitting multiple sclerosis and healthy controls. Higher values indicate greater central adiposity.

    Time frame: At baseline

  8. Waist-to-hip ratio as an anthropometric measurement

    Waist-to-hip ratio (WHR) will be calculated using waist circumference and hip circumference measurements in both patients with relapsing-remitting multiple sclerosis and healthy controls.

    Time frame: At baseline

  9. Fat mass (kg)

    Fat mass (FM) will be measured in kilograms using the TANITA® MC-180MA Bioelectric Impedance Analyser device in both patients with RRMS and healthy controls. Bioelectrical impedance analysis will be performed 2 hours after a meal, following 5 minutes of rest, with participants standing still on the device with bare hands and feet.

    Time frame: At baseline

  10. Fat mass (%)

    Fat mass percentage will be derived from fat mass relative to body weight and expressed as a percentage in both patients with RRMS and healthy controls. Measurements will be obtained using the TANITA® MC-180MA Bioelectric Impedance Analyser. Bioelectrical impedance analysis will be performed 2 hours after a meal, following 5 minutes of rest, with participants standing still on the device with bare hands and feet.

    Time frame: At baseline

  11. Fat-free mass (kg)

    Fat-free mass (FFM) will be measured in kilograms using the TANITA® MC-180MA Bioelectric Impedance Analyser in both patients with RRMS and healthy controls. Bioelectrical impedance analysis will be performed 2 hours after a meal, following 5 minutes of rest, with participants standing still on the device with bare hands and feet.

    Time frame: At baseline

  12. Total body water (kg)

    Total body water (TBW) will be measured in kilograms using the TANITA® MC-180MA Bioelectric Impedance Analyser in both patients with RRMS and healthy controls. Bioelectrical impedance analysis will be performed 2 hours after a meal, following 5 minutes of rest, with participants standing still on the device with bare hands and feet.

    Time frame: At baseline

  13. Predicted muscle mass (kg)

    Predicted muscle mass (PMM) will be measured in kilograms using the TANITA® MC-180MA Bioelectric Impedance Analyser in both patients with RRMS and healthy controls. Bioelectrical impedance analysis will be performed 2 hours after a meal, following 5 minutes of rest, with participants standing still on the device with bare hands and feet.

    Time frame: At baseline

  14. Beck Depression Inventory score

    Depressive symptoms will be assessed using the Beck Depression Inventory (BDI), which ranges from 0 to 63. Higher scores indicate more severe depressive symptoms. Commonly used score ranges are 0-9 for minimal depression, 10-16 for mild depression, 17-29 for moderate depression, and 30-63 for severe depression.

    Time frame: At baseline

  15. Trait anger score

    Anger disposition will be assessed using the Trait Anger subscale of the State-Trait Anger Scale (STAS). Scores range from 10 to 40, with higher scores indicating greater trait anger.

    Time frame: At baseline

  16. Anger-in score

    Suppressed anger will be assessed using the Anger In subscale of the State-Trait Anger Scale (STAS). Scores range from 8 to 32, with higher scores indicating a greater tendency to suppress anger.

    Time frame: At baseline

  17. Anger-out score

    Outward expression of anger will be assessed using the Anger Out subscale of the State-Trait Anger Scale (STAS). Scores range from 8 to 32, with higher scores indicating a greater tendency to express anger outwardly.

    Time frame: At baseline

  18. Anger control score

    Anger control will be assessed using the Anger Control subscale of the State-Trait Anger Scale (STAS). Scores range from 8 to 32, with higher scores indicating better anger control.

    Time frame: At baseline

  19. Urinary incontinence symptom-based subtype classification

    Urinary incontinence symptoms will be assessed using semi-structured symptom-based urinary incontinence screening questionnaires designed to identify stress, urge, and overflow incontinence patterns. The questionnaires include symptom-oriented items with response options such as yes, no, and "more than half of the time," and additional questions on urinary frequency, nocturia, leakage frequency, and leakage amount where applicable. Participants will be classified according to the predominant symptom pattern identified from the questionnaire responses as stress, urge, or overflow urinary incontinence.

    Time frame: At baseline

  20. Correlation between EDSS score and MNA-SF

    The correlation between disability severity, as measured by EDSS, and nutritional status as measured by MNA-SF will be evaluated in patients with RRMS.

    Time frame: At baseline

07

Study locations

1 site
  • Antalya Training and Research Hospital
    Antalya, Antalya 07100, Turkey (Türkiye)
08

References and documents

Publications

  • Pilutti LA, Motl RW. Body Mass Index Underestimates Adiposity in Persons With Multiple Sclerosis. Arch Phys Med Rehabil. 2016 Mar;97(3):405-12. doi: 10.1016/j.apmr.2015.09.014. Epub 2015 Oct 9. PubMed 26440775 ↗
  • Matusik E, Augustak A, Durmala J. Functional Mobility and Basic Motor Skills in Patients with Multiple Sclerosis and Its Relation to the Anthropometrical Status and Body Composition Parameters. Medicina (Kaunas). 2019 Dec 4;55(12):773. doi: 10.3390/medicina55120773. PubMed 31817216 ↗
  • Schwarz S, Leweling H. Multiple sclerosis and nutrition. Mult Scler. 2005 Feb;11(1):24-32. doi: 10.1191/1352458505ms1119oa. PubMed 15732263 ↗
  • Burgos R, Breton I, Cereda E, Desport JC, Dziewas R, Genton L, Gomes F, Jesus P, Leischker A, Muscaritoli M, Poulia KA, Preiser JC, Van der Marck M, Wirth R, Singer P, Bischoff SC. ESPEN guideline clinical nutrition in neurology. Clin Nutr. 2018 Feb;37(1):354-396. doi: 10.1016/j.clnu.2017.09.003. Epub 2017 Sep 22. PubMed 29274834 ↗
  • Khurana SR, Bamer AM, Turner AP, Wadhwani RV, Bowen JD, Leipertz SL, Haselkorn JK. The prevalence of overweight and obesity in veterans with multiple sclerosis. Am J Phys Med Rehabil. 2009 Feb;88(2):83-91. doi: 10.1097/PHM.0b013e318194f8b5. PubMed 19169174 ↗
  • Lassmann H, Bruck W, Lucchinetti CF. The immunopathology of multiple sclerosis: an overview. Brain Pathol. 2007 Apr;17(2):210-8. doi: 10.1111/j.1750-3639.2007.00064.x. PubMed 17388952 ↗

Individual participant data

Plan to share: Undecided

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Mar 27, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT07497126
Lead sponsor
Antalya Training and Research Hospital
Responsible party
Ozan Arslan (Resident Physician, Antalya Training and Research Hospital) — Principal investigator
First posted
Mar 27, 2026
Start date
Nov 4, 2024
Primary completion
Jan 3, 2026
Completion
Apr 15, 2026 (estimated)
Last update
Mar 27, 2026

Study contacts

Serkan Özben, PhD
study chair · Antalya Training and Research Hospital

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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This study is active, not recruiting, as verified in Mar 2026. You cannot join it, but the record below documents what was studied.

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