Document Type : Original Articles
Authors
1 Instructor of Biostatistics, Sirjan School of Medical Sciences. Sirjan, Iran.
2 Bioinformatics and Computational Biology research center, Shiraz University of Medical Sciences, Shiraz, Iran.
3 Department of Occupational Therapy, School of Rehabilitation Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
4 Department of Epidemiology and Biostatistics, Faculty of Health, Shahrekord University of Medical Sciences, Shahrekord, Iran.
Abstract
Background: The present study aimed to evaluate the impact of the number of occupational therapy sessions, using the neurodevelopmental technique, (NDT) on gross motor function and other moving outcomes in children with cerebral palsy (CP).
Methods: The present cross sectional study evaluated all patients who referred to the occupational therapy service centers in the private sector and welfare organizations in Shiraz, Iran in 2015. The studied patients were children of both genders affected by spastic CP. A total of 59 individuals met the inclusion criteria and were entered in the study. A researcher-made questionnaire including 66 questions of gross motor function measure (GMFM) was used. This questionnaire measured the gross motor function in 5 dimensions including lying down, and rolling, sitting, crawling and kneeling, standing and walking, running and jumping. A negative binomial regression model with logarithmic function was applied in STATA 11 software.
Results: 59.3% of the patients were boys. According to our results, 38.3%, 33.3% and 38.3% were affected by spastic diplegia, spastic hemiplegia and spastic quadriplegia respectively. Children at level one of gross motor function had 1.3 times higher achievement, compared to the individuals in other levels (P=0.003) and the subjects who participated in more than five sessions per week had 1.04 more achievement than the others (P=0.001).
Conclusion: The results of this study showed that the more common occupational therapy sessions the children participated in, the more successful thegross motor function of children affected by level 1 CP of gross motor function classification was. Further investigations are required to assess other motor levels.
Keywords
strength, gross motor function, and functional outcome in children
with cerebral palsy: a path analysis. Dev. Med. Child Neurol.,
2011. 53 (1): p. 68-73.
2. Tuzson, A.E., K.P. Granata, and M.F. Abel, Spastic velocity threshold constrains functional performance in cerebral palsy.
Arch. Phys. Med. Rehabil., 2003. 84 (9): p. 1363-1368.
3. Ahlborg, L., C. Andersson, and P. Julin, Whole-body vibration
training compared with resistance training: effect on spasticity,
muscle strength and motor performance in adults with cerebral
palsy. J Rehabil Med., 2006. 38 (5): p. 302-308.
4. Fowler, E.G., et al., Promotion of physical fitness and prevention
of secondary conditions for children with cerebral palsy: section
on pediatrics research summit proceedings. Phys. Ther., 2007.
87 (11): p. 1495-1510.
5. Rosenbaum, P.L., et al., Prognosis for gross motor function in
cerebral palsy: creation of motor development curves. Jama.,
2002. 288 (11): p. 1357-1363.
6. Stiller, C., B.C. Marcoux, and R.E. Olson, The effect of conductive
education, intensive therapy, and special education services on
motor skills in children with cerebral palsy. Phys. Occup. Ther.
Pediatr., 2003. 23 (3): p. 31-50.
7. Mahani, M.K., M. Karimloo, and S. Amirsalari, Effects of
modified Adeli suit therapy on improvement of gross motor
function in children with cerebral palsy. Hong Kong J Occup
Th., 2011. 21 (1): p. 9-14.
8. Labaf, S., et al., Effects of neurodevelopmental therapy on gross
motor function in children with cerebral palsy. Iran J Child
Neurol., 2015. 9 (2): p. 36.
9. Salehi, M. and M. Roudbari, Zero inflated Poisson and negative
binomial regression models: application in education. Med J
Islam Repub Iran., 2015. 29: p. 297.
10. Ardiles, L.G., et al., Negative Binomial regression model for
analysis of the relationship between hospitalization and air
pollution. Atmos. Pollut. Res., 2018. 9 (2): p. 333-341.
11. Gardner, W., E.P. Mulvey, and E.C. Shaw, Regression analyses
of counts and rates: Poisson, overdispersed Poisson, and negative
binomial models. Psychol. Bull., 1995. 118 (3): p. 392.
12. Rafiei M, A.e.S.M.T., J. B., Zero-inflated negative binomial
modeling, efficiency for analysis of length of maternity
hospitalization. Yafteh., 2005. 6 (4): p. 35-40.
13. Nasseryan, J., et al., The association of demographic and clinical
factors with the frequency of restenosis in patients undergoing
angioplasty using negative binomial regression. Irje., 2016. 12
(2): p. 9-17.
14. Salehi, R., et al., Development of the Persian version of gross
motor function measure-88 (GMFM-88): A study of reliability.
Trends Med. Res., 2015. 10 (3): p. 69-74.
15. Palisano, R.J., et al., Validation of a model of gross motor function
for children with cerebral palsy. Phys. Ther., 2000. 80 (10): p.
974-985.
16. Novak, I. and A. Cusick, Home programmes in paediatric
occupational therapy for children with cerebral palsy: Where to
start? Aust. Occup. Ther. J., 2006. 53 (4): p. 251-264.
17. Amouzadeh Khalili, M., M. Rasoulzadeh, and F. Mirshja, A
survey of home based rehabilitation model performance for
movement disorders caused by neurological injuries. Life Sci
J., 2016. 13 (1s).
18. Kavousipor, S., et al., Cultural adaptation and psychometric
properties of the Persian version of the Affordance in the Home
Environment for Motor Development. Iran J Child Neurol., 2019.
13 (1): p. 25.
19. Sung, I.-Y., et al., Efficacy of forced-use therapy in hemiplegic
cerebral palsy. Arch. Phys. Med. Rehabil., 2005. 86 (11): p.
2195-2198.
20. Ustad, T., A.B. Sorsdahl, and A.E. Ljunggren, Effects of intensive
physiotherapy in infants newly diagnosed with cerebral palsy.
Pediatr Phys Ther., 2009. 21 (2): p. 140-148.
21. Mukherjee, A., et al., Intensive rehabilitation combined with
HBO2 therapy in children with cerebral palsy: a controlled
longitudinal study. Undersea Hyperb Med., 2014. 41 (2): p. 77-85.