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Metabolic and Physiological Stress During Skiing.

The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details. Identifier: NCT02082106
Recruitment Status : Completed
First Posted : March 10, 2014
Last Update Posted : April 29, 2015
Information provided by (Responsible Party):
Prof. Josef Niebauer M.D., Ph.D., MBA, Paracelsus Medical University

Brief Summary:

Problem description In industrialized countries there is a rapid increase in the number of senior citizens. In Austria more than 50% of the population is overweight, with highest prevalence in the age group from 60 to 74 yrs and the WHO lists physical inactivity as one of the main behavioral risk factors of cardiovascular diseases.

Especially in winter months, activity related energy expenditure was 40% and 31% lower in the US and Canada, respectively. In addition, in an Austrian study the winter season was associated with higher blood pressure, total cholesterol and body mass index, giving an increasing risk of chronic coronary disease by 6.8% in men and 3.6% in women.

Therefore, the development of intervention programs that overcome the winter physical activity deficit and be feasible also for elderly should be goal of future research. Alpine skiing (AS) and cross country skiing (XCS) have a long standing tradition in Austria and could potentially fill the winter physical activity gap. The Salzburg Skiing for the Elderly Study (SASES) has found AS to be a save and feasible possibility to improve the health of the aged population in many parameters. XCS as a competitive sport is already well explored but there are hardly any studies about its effects in the normal or elderly population. Unfortunately knowledge about the differences between AS and XCS in the physiological adaptation processes in the elderly population is also lacking.

Aims and hypotheses of the pre-study In order to standardize training interventions, the present pre-study aims at comparing physiological and metabolic parameters between AS, XCS and IT. Therefore, the results of the pre-study serve as determinants for the training parameters of the above mentioned main study.

We postulate that, based on the results of the present study, it is possible to set up comparable isocaloric training sessions for AS, XCS and IT for elderly and unfit persons.

Furthermore, we assume that elderly and unfit subjects are able to perform a full spectrum of intensities and techniques necessary to set appropriate stimuli for isocaloric comparison.

We hypothesize arterial stiffness indices and circulating microRNA (miRNA) patterns to change due to one bout of physical activity of AS, XCS, and IT with variations depending on the kind of sport.

Condition or disease Intervention/treatment
Healthy Other: Alpine skiing Other: cross country skiing Other: Indoor training (cycling)

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Study Type : Observational
Actual Enrollment : 21 participants
Observational Model: Cohort
Time Perspective: Cross-Sectional
Official Title: Metabolic and Physiological Stress During Alpine Skiing, Cross-country Skiing and Indoor Training in Untrained and Trained Persons.
Study Start Date : January 2014
Actual Primary Completion Date : May 2014
Actual Study Completion Date : May 2014

Resource links provided by the National Library of Medicine

Group/Cohort Intervention/treatment
Participants should be capable of alpine skiing and cross country skiing.
Other: Alpine skiing
Other: cross country skiing
Other: Indoor training (cycling)

Primary Outcome Measures :
  1. Oxygen consumption (VO2) [ Time Frame: 12 weeks ]
    VO2 will be measured during during physical examination, indoor training, Alpine Skiing, and Cross Country Skiing. VO2 will be transformed into metabolic equivalents to calculate isocaloric training parameters for the different kind of sport.

Secondary Outcome Measures :
  1. Pulse wave analysis (PWA) [ Time Frame: 12 weeks ]
    PWA will be measured before/after physical examination, indoor training, Alpine Skiing, and Cross Country Skiing. PWA will be done by oscillometric measurement to calculate influence of acute exercise and training status on several pulse wave parameters.

Other Outcome Measures:
  1. RNA [ Time Frame: 12 weeks ]
    Total RNA will be isolated from stored plasma and blood cell samples. All samples will be screened for influence of acute exercise (before/after physical examination and indoor training).

  2. Nitric oxide (NO) [ Time Frame: 12 weeks ]
    NO will be quantified out of stored blood samples and serves as a possible surrogate parameter of pulse wave analysis.

  3. Metabolic screening [ Time Frame: 12 weeks ]
    Metabolic parameters (e.g. glucose, lactate) will be quantified out of stored blood samples: These parameters serve as determinants of the different exercises.

Biospecimen Retention:   Samples With DNA
Blood serum, blood plasma, blood cells

Information from the National Library of Medicine

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Ages Eligible for Study:   30 Years and older   (Adult, Older Adult)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   Yes
Sampling Method:   Non-Probability Sample
Study Population
Twenty healthy subjects (male=10/female=10) aged 30+ will be recruited.

Inclusion Criteria:

  • written informed consent
  • male or female
  • age: 30+ years
  • inconspicuous ECG
  • Non-smoker for at least one year
  • proper skills in alpine skiing and cross-country skiing

Exclusion Criteria:

  • Participation in other clinical trials at the same time or within the previous 6 months
  • Tiffeneau-Pinelli index: Forced Expiratory Volume in first second (FEV1) / Forced Vital Capacity (FVC) <60% with/without symptoms (coughing, sputum) or other evidence of a pulmonary disease
  • medical condition which conflicts with participation in training
  • Intake of anticoagulants
  • Alcohol or drug abuse
  • Severe obesity: BMI >40

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its identifier (NCT number): NCT02082106

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University Institute of Sports Medicine, Prevention and Rehabilitation
Salzburg, Austria, A-5020
Sponsors and Collaborators
Paracelsus Medical University
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Principal Investigator: Josef Niebauer, MBA, Prof. Dr.Dr. Paracelsus Medical University
Study Chair: Martin Schoenfelder, Dr. Research Institute of Moleclar Sport and Rehabilitation Medicine, Paracelsus Medical University Salzburg, Austria
Study Chair: Thomas Stoeggl, Prof. Dr. Department of Sport Sciency and Kinesiology - University of Salzburg
Additional Information:
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Responsible Party: Prof. Josef Niebauer M.D., Ph.D., MBA, Head of Institute; University Institute of Sports Medicine, Prevention and Rehabilitation, Paracelsus Medical University Identifier: NCT02082106    
Other Study ID Numbers: UISM-2014-MET-SKI
First Posted: March 10, 2014    Key Record Dates
Last Update Posted: April 29, 2015
Last Verified: April 2015
Keywords provided by Prof. Josef Niebauer M.D., Ph.D., MBA, Paracelsus Medical University:
alpine skiing
cross country skiing
indoor cycling
physical fitness
training status
metabolic equivalent