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Physical Activity, Sedentary Behaviour and Cardiometabolic Health in Multiple Sclerosis

H

Hasselt University

Status

Enrolling

Conditions

Multiple Sclerosis, Relapsing-Remitting

Study type

Observational

Funder types

Other

Identifiers

Details and patient eligibility

About

This study evaluates the association between sedentary behaviour, physical activity, and the cardiometabolic health of Multiple Sclerosis via several cardiovascular, metabolic and anthropometric parameters.

Full description

Multiple sclerosis (MS) is an autoimmune, inflammatory and neurodegenerative disorder of the central nervous system, predominantly affecting young to middle-aged adults. The disease manifests in a broad spectrum of associated sensory, motor and psychological dysfunction, and there is a large variability in symptoms between (and within) persons with MS (PwMS). This can (partly) be explained by the co-existence of cardiometabolic (CM) diseases, such as hypertension, dyslipidaemia, insulin resistance or diabetes. More specifically, the presence of one or more of these CM diseases has been associated with a worsening of disability, independent of the timing of their development (at MS symptom onset, diagnosis, or later in the disease course). Therefore, the prevention and/or treatment of these CM comorbidities also warrant attention in MS rehabilitation.

In most studies PwMS and HC were matched on age, sex, height and weight. Importantly, differences in physical activity (PA) and sedentary behaviour (SB) were never taken into account, while this might be a relevant matching risk factor between groups. Moreover, Ranadive et al. found a significant worse vascular function in PwMS compared to HC, but differences were accounted for by low PA in PwMS. This might mean that PwMS can completely attenuate their increased CM risk by increasing their PA. However, this conclusion was only based on a statistical correction, there was a large difference in PA between groups and other confounding factors (such as PA intensity, smoking and nutrition intake) were not taken into account.

Therefore, the present study aims to investigate the relation between CM health and different intensities of PA and SB in PA-matched PwMS and HC. When CM health is comparable between PwMS and HC with similar PA levels, this shows the importance of including PA and SB measures and interventions as early as possible in MS treatment before automatically starting CM medication because PwMS are known to have multiple risk factors.

Enrollment

50 estimated patients

Sex

All

Ages

25 to 60 years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

  • Relapse-remitting MS
  • 25-60 years old
  • EDSS < 5
  • Sedentary behaviour (>9hours daily)

Exclusion criteria

  • <9h SB/day,
  • experienced an acute exacerbation within 6 months before the start of the study
  • an expanded disability status scale (EDSS) score >5
  • experimental drug use or medication changes in the last month
  • medical conditions precluding PA participation
  • alcohol abuse (>20 units/week)
  • reported dietary habits or weight loss (>2kg) in the last month before the study
  • intention to start a new specific diet or start to follow an exercise intervention
  • reported participation in another biomedical trial which may have an effect on blood parameters 1 month before the start of the study
  • blood donation in the past month
  • diagnosis of cardiometabolic diseases such as diabetes mellitus or heart and vascular diseases.

Trial design

50 participants in 2 patient groups

Healthy control
Description:
Healthy controls who engage in sedentary behaviour for more than 9 hours per day. Strata will be used to ensure equal distribution of active and inactive participants (\< and \> 150min/MVPA/week)
Persons with MS
Description:
Persons suffering from MS who engage in sedentary behaviour for more than 9 hours per day. Strata will be used to ensure equal distribution of active and inactive participants (\< and \> 150min/MVPA/week)

Trial contacts and locations

1

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Central trial contact

Ine Nieste, drs.; Bert Op 't Eijnde, prof. dr.

Data sourced from clinicaltrials.gov

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