Author/Authors :
Akbarzadeh Baghban, Alireza Department of Basic Sciences - Faculty of rehabilitation Sciences - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Ahmadi Gooraji, Somayeh Department of Biostatistics - School of Paramedical Sciences - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Kavousi, Amir Department of Basic Sciences - Faculty of Health Safety and Environment - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Mirzakhani Araghi, Navid Department of Occupational Therapy - Faculty of rehabilitation sciences - Shahid Beheshti University of Medical Sciences, Tehran, Iran
Abstract :
Background: Stroke is a prevalent cause of disability in adults. The fall is the most common balance
and motor impairments, which affects the quality of life in stroke patients. This study aims to
employ random effects hurdle model for evaluating the balance improvement in stroke patients under
the occupational therapy.
Methods: In this longitudinal study with repeated measurement during one year between 2013 and
2014, the data was collected using non-random sampling method from three occupational therapy
clinics. For a total of 38 stroke patients, the number of falls was recorded every two weeks. The random
effects hurdle model and random effects zero inflated Poisson (ZIP) model were fitted to the
data and were compared together. Data analysis was carried out using SAS Software version 9.2.
Results: The results of random effects ZIP model showed that the covariates of sex and age and
affected side of stroke and follow up duration had statistically significant effect on balance improvement
(p< 0.05). The occupational therapy has been effective on balance improvement more
than 40% during one year.
Conclusion: The ZIP model with random effects can capture zero inflation and correlation structure
in longitudinal count data simultaneously. Older patients, women and patients with left-side impairments
were more at risk of fall and balance impairment, so they need more care and therapy.