Literature DB >> 28092092

Domains of Daily Physical Activity in Children with Mitochondrial Disease: A 3D Accelerometry Approach.

Saskia Koene1, Ilse Dirks2, Esmee van Mierlo2, Pascal R de Vries2, Anjo J W M Janssen3, Jan A M Smeitink2, Arjen Bergsma4, Hans Essers5, Kenneth Meijer5, Imelda J M de Groot2,4.   

Abstract

Feasible, sensitive and clinically relevant outcome measures are of extreme importance when designing clinical trials. For paediatric mitochondrial disease, no robust end point has been described to date. The aim of this study was to select the domains of daily physical activity, which can be measured by 3D accelerometry, that could serve as sensitive end points in future clinical trials in children with mitochondrial disorders.In this exploratory observational study, 17 patients with mitochondrial disease and 16 age- and sex-matched controls wore 3D accelerometers at the upper leg, upper arm, lower arm and chest during one weekend. Using the raw data obtained by the accelerometers, we calculated the following outcome measures: (1) average amount of counts per hour the sensors were worn; (2) the maximal intensity; (3) the largest area under the curve during 30 min and (4) categorized activities lying, standing or being dynamically active. Measuring physical activity during the whole weekend was practically feasible in all participants. We found good face validity by visually correlating the validation videos and activity diaries to the accelerometer data-graphs. Patients with mitochondrial disorders had significantly lower peak intensity and were resting more, compared to their age- and sex-matched peers.Finally, we suggest domains of physical activity that could be included when measuring daily physical activity in children with mitochondrial disorders, preferably using more user-friendly devices. These include peak activity parameters for the arms (all patients) and legs (ambulatory patients). We recommend using or developing devices that measure these domains of physical activity in future clinical studies.

Entities:  

Keywords:  3D accelerometry; Children; Daily physical activity; Mitochondrial disease; Outcome measures

Year:  2017        PMID: 28092092      PMCID: PMC5680282          DOI: 10.1007/8904_2016_35

Source DB:  PubMed          Journal:  JIMD Rep        ISSN: 2192-8304


  27 in total

1.  Physical activity of children with a mitochondrial disease compared to children who are healthy.

Authors:  Anne-Marieke Martens; Hetty Gorter; Ruben G V Wassink; Hans Rietman
Journal:  Pediatr Phys Ther       Date:  2014       Impact factor: 3.049

2.  Validity of accelerometry in ambulatory children and adolescents with cerebral palsy.

Authors:  Kelly M Clanchy; Sean M Tweedy; Roslyn N Boyd; Stewart G Trost
Journal:  Eur J Appl Physiol       Date:  2011-03-26       Impact factor: 3.078

3.  Physical activity, exercise, and physical fitness: definitions and distinctions for health-related research.

Authors:  C J Caspersen; K E Powell; G M Christenson
Journal:  Public Health Rep       Date:  1985 Mar-Apr       Impact factor: 2.792

4.  Functional ability and muscle force in healthy children and ambulant Duchenne muscular dystrophy patients.

Authors:  Ernesto A C Beenakker; Natalia M Maurits; Johanna M Fock; Oebele F Brouwer; Johannes H van der Hoeven
Journal:  Eur J Paediatr Neurol       Date:  2005-08-15       Impact factor: 3.140

Review 5.  Biochemical diagnosis of mitochondrial disorders.

Authors:  Richard J T Rodenburg
Journal:  J Inherit Metab Dis       Date:  2010-05-04       Impact factor: 4.982

Review 6.  Towards the harmonization of outcome measures in children with mitochondrial disorders.

Authors:  Saskia Koene; Merel Jansen; Chris M Verhaak; Remco L A De Vrueh; Imelda J M De Groot; Jan A M Smeitink
Journal:  Dev Med Child Neurol       Date:  2013-03-12       Impact factor: 5.449

7.  Variability in measuring physical activity in children with cerebral palsy.

Authors:  Louise E Mitchell; Jenny Ziviani; Roslyn N Boyd
Journal:  Med Sci Sports Exerc       Date:  2015-01       Impact factor: 5.411

8.  Accelerometer-determined physical activity and walking capacity in persons with Down syndrome, Williams syndrome and Prader-Willi syndrome.

Authors:  Marianne Nordstrøm; Bjørge Herman Hansen; Benedicte Paus; Svein Olav Kolset
Journal:  Res Dev Disabil       Date:  2013-10-18

9.  Fatigue in children: reliability and validity of the Dutch PedsQL™ Multidimensional Fatigue Scale.

Authors:  M Suzanne Gordijn; M Suzanne Gordijn; Eline M P Cremers; Gertjan J L Kaspers; Reinoud J B J Gemke
Journal:  Qual Life Res       Date:  2011-01-19       Impact factor: 4.147

10.  Accelerometry: a feasible method to quantify physical activity in ambulatory and nonambulatory adolescents with cerebral palsy.

Authors:  Jan Willem Gorter; Stephen G Noorduyn; Joyce Obeid; Brian W Timmons
Journal:  Int J Pediatr       Date:  2012-06-26
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  2 in total

1.  Optimization and Validation of an Adjustable Activity Classification Algorithm for Assessment of Physical Behavior in Elderly.

Authors:  Wouter Bijnens; Jos Aarts; An Stevens; Darcy Ummels; Kenneth Meijer
Journal:  Sensors (Basel)       Date:  2019-12-04       Impact factor: 3.576

2.  International Workshop:: Outcome measures and clinical trial readiness in primary mitochondrial myopathies in children and adults. Consensus recommendations. 16-18 November 2016, Rome, Italy.

Authors:  Michelangelo Mancuso; Robert McFarland; Thomas Klopstock; Michio Hirano
Journal:  Neuromuscul Disord       Date:  2017-09-08       Impact factor: 4.296

  2 in total

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