Identifying the most representative actigraphy variables reflecting standardized hand function assessments for remote monitoring in children with unilateral cerebral palsy.
Actigraphy
Hand function assessment
Principal component analysis
Unilateral cerebral palsy
Journal
BMC pediatrics
ISSN: 1471-2431
Titre abrégé: BMC Pediatr
Pays: England
ID NLM: 100967804
Informations de publication
Date de publication:
25 Apr 2024
25 Apr 2024
Historique:
received:
10
09
2023
accepted:
27
03
2024
medline:
26
4
2024
pubmed:
26
4
2024
entrez:
25
4
2024
Statut:
epublish
Résumé
Accurate assessment of physical activity and motor function in children with cerebral palsy is crucial for determining the effectiveness of interventions. This study aimed to investigate the correlation between real-world activity monitoring outcomes and in-laboratory standardized hand function assessments in children with unilateral cerebral palsy. Actigraphy data were collected over 3 days from children aged 4-12 years with unilateral cerebral palsy before in-laboratory assessments. To tackle the high dimensionality and collinearity of actigraphy variables, we first applied hierarchical clustering using the Pearson correlation coefficient as the distance metric and then performed a principal component analysis (PCA) to reduce the dimensionality of our data. Both hierarchical clustering and PCAs revealed a consistent pattern in which magnitude ratio variables (ln[affected side magnitude/less-affected side magnitude]) were more strongly associated with standardized assessments of hand function than with activity time and distance domain variables. Hierarchical clustering analysis identified two distinct clusters of actigraphy variables, with the second cluster primarily consisting of magnitude ratio variables that exhibited the strongest correlation with Melbourne Assessment 2, Pediatric Motor Activity Log, Assisting Hand Assessment, and Manual Ability Classification System level. Principal component 2, primarily representing the magnitude ratio domain, was positively associated with a meaningful portion of subcategories of standardized measures, whereas principal component 1, representing the activity time and distance component, showed limited associations. The magnitude ratio of actigraphy can provide additional objective information that complements in-laboratory hand function assessment outcomes in future studies of children with unilateral cerebral palsy. TRIAL REGISTRATION IN CLINICALTRIALS.GOV: NCT04904796 (registered prospectively; date of registration: 23/05/2021).
Sections du résumé
BACKGROUND
BACKGROUND
Accurate assessment of physical activity and motor function in children with cerebral palsy is crucial for determining the effectiveness of interventions. This study aimed to investigate the correlation between real-world activity monitoring outcomes and in-laboratory standardized hand function assessments in children with unilateral cerebral palsy.
METHODS
METHODS
Actigraphy data were collected over 3 days from children aged 4-12 years with unilateral cerebral palsy before in-laboratory assessments. To tackle the high dimensionality and collinearity of actigraphy variables, we first applied hierarchical clustering using the Pearson correlation coefficient as the distance metric and then performed a principal component analysis (PCA) to reduce the dimensionality of our data.
RESULTS
RESULTS
Both hierarchical clustering and PCAs revealed a consistent pattern in which magnitude ratio variables (ln[affected side magnitude/less-affected side magnitude]) were more strongly associated with standardized assessments of hand function than with activity time and distance domain variables. Hierarchical clustering analysis identified two distinct clusters of actigraphy variables, with the second cluster primarily consisting of magnitude ratio variables that exhibited the strongest correlation with Melbourne Assessment 2, Pediatric Motor Activity Log, Assisting Hand Assessment, and Manual Ability Classification System level. Principal component 2, primarily representing the magnitude ratio domain, was positively associated with a meaningful portion of subcategories of standardized measures, whereas principal component 1, representing the activity time and distance component, showed limited associations.
CONCLUSIONS
CONCLUSIONS
The magnitude ratio of actigraphy can provide additional objective information that complements in-laboratory hand function assessment outcomes in future studies of children with unilateral cerebral palsy. TRIAL REGISTRATION IN CLINICALTRIALS.GOV: NCT04904796 (registered prospectively; date of registration: 23/05/2021).
Identifiants
pubmed: 38664706
doi: 10.1186/s12887-024-04724-z
pii: 10.1186/s12887-024-04724-z
doi:
Banques de données
ClinicalTrials.gov
['NCT04904796']
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
273Subventions
Organisme : National Research Foundation of Korea
ID : 2021R1A6A3A13040170
Informations de copyright
© 2024. The Author(s).
Références
Bunn AJ, Navalta WJ, Fountaine JC, Reece DJ. Current state of commercial wearable technology in physical activity monitoring 2015–2017. Int J Exerc Sci. 2018;11:503.
pubmed: 29541338
pmcid: 5841672
Prince AS, Adamo BK, Hamel EM, Hardt J, Gorber CS, Tremblay M. A comparison of direct versus self-report measures for assessing physical activity in adults: a systematic review. Int J Behav Nutr Phys Act. 2008;5:1–24.
doi: 10.1186/1479-5868-5-56
Frontera WR, Bean FJ, Damiano D, Ehrlich-Jones L, Fried-Oken M, Jette A, et al. Rehabilitation research at the National Institutes of Health: moving the field forward (executive summary). Neurorehabil Neural Repair. 2017;31:304–14.
doi: 10.1177/1545968317698875
pubmed: 28332437
pmcid: 5414896
Bania TA, Taylor NF, Baker RJ, Graham HK, Karimi L, Dodd KJ. Gross motor function is an important predictor of daily physical activity in young people with bilateral spastic cerebral palsy. Dev Med Child Neurol. 2014;56:1163–71.
doi: 10.1111/dmcn.12548
pubmed: 25052563
Østensjø S, Carlberg EB, Vøllestad NK. Motor impairments in young children with cerebral palsy: relationship to gross motor function and everyday activities. Dev Med Child Neurol. 2004;46:580–9.
doi: 10.1111/j.1469-8749.2004.tb01021.x
pubmed: 15344517
Klingels K, De Cock P, Molenaers G, Desloovere K, Huenaerts C, Jaspers E, et al. Upper limb motor and sensory impairments in children with hemiplegic cerebral palsy. Can they be measured reliably? Disabil Rehabil. 2010;32:409–16.
doi: 10.3109/09638280903171469
pubmed: 20095955
Leanne S, Ziviani J, Boyd RN. Efficacy of upper limb therapies for unilateral cerebral palsy: a meta-analysis. Pediatrics. 2014;133:e175–204.
doi: 10.1542/peds.2013-0675
Braito I, Maselli M, Sgandurra G, Inguaggiato E, Beani E, Cecchi F, et al. Assessment of upper limb use in children with typical development and neurodevelopmental disorders by inertial sensors: a systematic review. J Neuroeng Rehabil. 2018;15:1–18.
doi: 10.1186/s12984-018-0447-y
Suk MH, Park IK, Yoo S, Kwon JY. The association between motor capacity and motor performance in school-aged children with cerebral palsy: an observational study. J Exerc Sci Fit. 2021;19:223–8.
doi: 10.1016/j.jesf.2021.07.002
pubmed: 34447440
pmcid: 8361183
Keawutan P, Bell KL, Oftedal S, Davies PSW, Ware RS, Boyd RN. Relationship between habitual physical activity, motor capacity, and capability in children with cerebral palsy aged 4–5 years across all functional abilities. Disabil Health J. 2018;11:632–6.
doi: 10.1016/j.dhjo.2018.03.006
pubmed: 29628361
Mitchell LE, Ziviani J, Boyd RN. Characteristics associated with physical activity among independently ambulant children and adolescents with unilateral cerebral palsy. Dev Med Child Neuro. 2015;57:167–74.
doi: 10.1111/dmcn.12560
Bhatnagar K, Bever CT, Tian J, Zhan M, Conroy SS. Comparing home upper extremity activity with clinical evaluations of arm function in chronic stroke. Arch Rehabil Res Clin Transl. 2020;2:100048.
pubmed: 33336184
pmcid: 7739859
Lang CE, Wagner JM, Edwards DF, Dromerick AW. Upper extremity use in people with hemiparesis in the first few weeks after stroke. J Neurol Phys Ther. 2007;31:56–63.
doi: 10.1097/NPT.0b013e31806748bd
pubmed: 17558358
Beani E, Maselli M, Sicola E, Perazza S, Cecchi F, Dario P, et al. Actigraph assessment for measuring upper limb activity in unilateral cerebral palsy. J Neuroeng Rehabil. 2019;16:1–8.
doi: 10.1186/s12984-019-0499-7
Sakzewski L, Ziviani J, Boyd R. The relationship between unimanual capacity and bimanual performance in children with congenital hemiplegia. Dev Med Child Neuro. 2010;52:811–6.
doi: 10.1111/j.1469-8749.2009.03588.x
Cans C. Surveillance of cerebral palsy in Europe: a collaboration of cerebral palsy surveys and registers. Dev Med Child Neuro. 2000;42:816–24.
doi: 10.1111/j.1469-8749.2000.tb00695.x
Uswatte G, Taub E, Griffin A, Vogtle L, Rowe J, Barman J. The pediatric motor activity log-revised: assessing real-world arm use in children with cerebral palsy. Rehabil Psychol. 2012;57:149.
doi: 10.1037/a0028516
pubmed: 22686553
pmcid: 3375622
Haley SM, Coster WJ, Dumas HM, Fragala-Pinkham MA, Kramer J, Ni P, et al. Accuracy and precision of the Pediatric evaluation of disability inventory computer-adaptive tests (PEDI‐CAT). Dev Med Child Neuro. 2011;53:1100–6.
doi: 10.1111/j.1469-8749.2011.04107.x
Randall M, Imms C, Carey LM, Pallant JF. Rasch analysis of the Melbourne Assessment of Unilateral Upper Limb function. Dev Med Child Neuro. 2014;56:665–72.
doi: 10.1111/dmcn.12391
Holmefur M, Aarts P, Hoare B, Krumlinde-Sundholm Β. Test-retest and alternate forms reliability of the assisting hand assessment. J Rehabil Med. 2009;41:886.
doi: 10.2340/16501977-0448
pubmed: 19841839
Krumlinde-Sundholm L, Holmefur M, Kottorp A, Eliasson AC. The assisting Hand Assessment: current evidence of validity, reliability, and responsiveness to change. Dev Med Child Neuro. 2007;49:259–64.
doi: 10.1111/j.1469-8749.2007.00259.x
Yim O, Ramdeen KT. Hierarchical cluster analysis: comparison of three linkage measures and application to psychological data. Quant Meth Psych. 2015;11:8–21.
doi: 10.20982/tqmp.11.1.p008
Jolliffe IT, Cadima J. Principal component analysis: a review and recent developments. Philos Trans Math Phys Eng Sci. 2016;374:20150202.
Goodwin BM, Sabelhaus EK, Pan YC, BjornsonKF, Pham KLD, Walker WO, et al. Accelerometer measurements indicate that arm movements of children with cerebral palsy do not increase after constraint-induced movement therapy (CIMT). Am J Occup Ther. 2020;74:p74052051001–9.
doi: 10.5014/ajot.2020.040246
Coker-Bolt P, Downey RJ, Connolly J, Hoover R, Shelton D, Seo NJ. Exploring the feasibility and use of accelerometers before, during, and after a camp-based CIMT program for children with cerebral palsy. J Pediatr Rehabil Med. 2017;10:27–36.
pubmed: 28339408
Hwang YS, Kwon JY. Effects of modified constraint-induced movement therapy in real-world arm use in young children with unilateral cerebral palsy: a single-blind randomized trial. Neuropediatrics. 2020;51:259–66.
doi: 10.1055/s-0040-1702220
pubmed: 32143221
DeLuca SC, Echols K, Ramey SL, Taub E. Pediatric constraint-induced movement therapy for a young child with cerebral palsy: two episodes of care. Phys Ther. 2003;83:1003–13.
doi: 10.1093/ptj/83.11.1003
pubmed: 14577827
Basu AP. Early intervention after perinatal stroke: opportunities and challenges. Dev Med Child Neuro. 2014;56:516–21.
doi: 10.1111/dmcn.12407
Zielinski IM. Developmental disregard in unilateral cerebral palsy: behavioral & electrophysiological examinations of the underlying mechanisms. (Doctoral dissertation, [Sl]:[Sn]). 2017.
Channa A, Popescu N, Skibinska J, Burget R. The rise of wearable devices during the COVID-19 pandemic: a systematic review. Sensors. 2021;21:5787.
doi: 10.3390/s21175787
pubmed: 34502679
pmcid: 8434481