Literature DB >> 15308902

Uptime in children with cerebral palsy.

Marinis Pirpiris1, H Kerr Graham.   

Abstract

Quantitative evaluation of function, in children with physical disabilities, has to date been mainly focused on laboratory-based measures. However, the measurement of activity in the community may have a more direct relationship with physical function, health, and well-being. We assessed the utility of a remote activity monitor, the Uptimer (National Aging Research Institute of Melbourne, Melbourne, Australia), to measure one aspect of physical function, time spent in the upright position, in a consecutive cohort of 300 children with cerebral palsy who attended an orthopedic outpatient department. The Uptimer was found to be a valid and reliable tool to measure the amount of time children spent on their feet each day. Uptime was closely related to the severity of cerebral palsy and had excellent correlations with validated instruments including the Pediatric Orthopaedic Data Collection Instrument (PODCI), the Child Health Questionnaire (CHQ), and the Functional Mobility Scale (FMS). Uptime complements any quantitative functional assessment of impairments in children with cerebral palsy.

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Year:  2004        PMID: 15308902     DOI: 10.1097/00004694-200409000-00012

Source DB:  PubMed          Journal:  J Pediatr Orthop        ISSN: 0271-6798            Impact factor:   2.324


  7 in total

1.  Ambulatory physical activity performance in youth with cerebral palsy and youth who are developing typically.

Authors:  Kristie F Bjornson; Basia Belza; Deborah Kartin; Rebecca Logsdon; John F McLaughlin
Journal:  Phys Ther       Date:  2007-01-23

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

Review 3.  Nonoperative management of spasticity in children.

Authors:  Susan Ronan; Joan T Gold
Journal:  Childs Nerv Syst       Date:  2007-07-24       Impact factor: 1.475

4.  Relationships among classifications of impairment and measures of ambulatory function for children with spina bifida.

Authors:  Susan A Rethlefsen; Melissa A Bent; Nicole M Mueske; Tishya A L Wren
Journal:  Disabil Rehabil       Date:  2020-04-07       Impact factor: 3.033

5.  Effects of age, sex, and comorbidities on the pediatric outcomes data collection instrument (PODCI) in the general population.

Authors:  Philip E Gates; Susan R Campbell
Journal:  J Pediatr Orthop       Date:  2015-03       Impact factor: 2.324

6.  Machine Learning to Quantify Physical Activity in Children with Cerebral Palsy: Comparison of Group, Group-Personalized, and Fully-Personalized Activity Classification Models.

Authors:  Matthew N Ahmadi; Margaret E O'Neil; Emmah Baque; Roslyn N Boyd; Stewart G Trost
Journal:  Sensors (Basel)       Date:  2020-07-17       Impact factor: 3.576

7.  Correlation between Accelerometer and Questionnaire-Based Assessment of Physical Activity in Patients with Cerebral Palsy.

Authors:  Ki Bum Kwon; Young Choi; Ki Hyuk Sung; Chin Youb Chung; Kyoung Min Lee; Soon-Sun Kwon; Gyeong Hee Cho; Moon Seok Park
Journal:  Clin Orthop Surg       Date:  2020-02-13
  7 in total

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