Objectives: This study aims to assess the quality of life of cerebral palsy children less than 12 years old reported by
parents in Erbil city/Iraq.
Methodology: A descriptive study was conducted during 2014, to describe the quality of life of cerebral palsy
children. One hundred mothers have cerebral palsy children were participated in this study. The study took place at
Helena Center for handicapped children in Erbil City. Questionnaire was used to collect data, which consists of two
main parts. The first part is divided into two sections; section one was described the mothers’ demographic
characteristics, while the second section was for identifying the demographical characteristics of cerebral palsy
children. The inventory trademark" (PedsQLTM) 3.0 (parents' reports) was used in second part of the questionnaire.
Statistical Package for Social Science (SPSS) version 18 was used to analyze date. Chi-squared test was applied to
find out the association and significance.
Results: Most of the mothers were from low socioeconomic status, living in urban areas and aged between 28-37
years old. Majority of cerebral palsy children were male, aged between 2 - 4 and diagnosed with spastic type. The
significant associations were found between types of cerebral palsy and daily activities, pain and hurt, speech and
communication and eating and activities respectively at p-value 0.032, 0.000, 0.011, and 0.014.
Recommendations: The study recommended special health educational programs for mothers to improve the quality
of life of their cerebral palsy children
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It is no secret to everyone that the endowment is an important nucleus for the prosperity of Islamic civilization, especially in the fields of education, health, economy, and defensive military actions that fall within the door of jihad, and so on. Al-Ashraf, Qom Al-Quds, Cairo, and other parts of the Islamic world. What we will see in the research.
The research utilizes data produced by the Local Urban Management Directorate in Najaf and the imagery data from the Landsat 9 satellite, after being processed by the GIS tool. The research follows a descriptive and analytical approach; we integrated the Markov chain analysis and the cellular automation approach to predict transformations in city structure as a result of changes in land utilization. The research also aims to identify approaches to detect post-classification transformations in order to determine changes in land utilization. To predict the future land utilization in the city of Kufa, and to evaluate data accuracy, we used the Kappa Indicator to determine the potential applicability of the probability matrix that resulted from
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