Accelerometry as a Measure of Physical Activity and Inactivity in Children with Chronic Disease

Completed

Conditions: chronic illness
10010394
10023213
10029317

Registration Number: NL-OMON31780

Lead Sponsor: niversitair Medisch Centrum Utrecht

Brief Summary: Not available

Detailed Description: Not available

Recruitment & Eligibility

Status: Completed

Sex: Not specified

Target Recruitment: 80

Inclusion Criteria

Age 8 to 18 years.
Both prepubescent and pubescent children will be enrolled.
• Healthy controls - will include any child without a history of disease or disability who are able to cooperate with the testing procedures.
• Diagnosis of Juvenile Idiopathic Arthritis (JIA) - based on the ILAR criteria (56) OR
• Diagnosis of Severe Hemophilia A or B (< 1% clotting factor activity) OR
• Diagnosis of Juvenile Dermatomyositis (JDM) - based on the Bohan & Peter criteria OR
• Diagnosis of dystrophinopathy (Beckers, Duchenne*s) or other inherited muscle disease OR
• Diagnosis of Cerebral Palsy (Gross Motor Function Classification system Levels I or II) (57) OR
• Diagnosis of Cystic Fibrosis OR
• Diagnosis of congenital heart disease (CHD) and Fontan procedure or tetralogy of Fallot repair.

Exclusion Criteria

Medical status that will not allow exercise testing
Medications that interfere with heart rate response to exercise
Non-ambulation: patients who are unable to ambulate
Insufficient understanding of the Dutch language in both children and parents
See also page 14 of the protocol

Study & Design

Study Type: Observational non invasive

Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
<p>The main study parameter is the agreement between predicted energy expenditure<br /><br>from accelerometry counts compared to directly measured energy expenditure via<br /><br>metabolic cart.</p><br>

Secondary Outcome Measures

Name	Time	Method
<p>We will begin to develop disease specific prediction equations - where<br /><br>necessary - to determine the relationship between accelerometry counts and<br /><br>energy expenditure in these groups.<br /><br><br /><br>We will compare 2 different accelerometers (Actical with Actigraph) to<br /><br>determine if one is superior in predicting energy expenditure compared to the<br /><br>other.</p><br>