Demographic predictors of learning disorders for elementary students in Golestan Stateprovince

The purpose of this study was to investigate the demographical predictors of learning disorders for in elemenentary students in of Golestan Stateprovince. In a retrospective cross-sectional study, numbers of 702 elementary students from two grades two to five grade of in gGolestan province were selected by multistage clustering sampling method responded to and completed a Ddemographical information questionnaire, Tthe Wechsler Intelligence Scale for Children-Revised (WISC-R), and Tthe Myklebust Rating Scale to assess overall learning disabilities along with a clinical interview to assess overall learning disabilities. Data were analyzed by Cchi- square and enter binary Llogistic Rregression methods with PASW software. Results showed that socio-economic Sstatus and location of residiencye location significantly able to differentiate students with learning disorders from those without learning disorders. The total regression model showed that 96.9% of this sample was were classified correctly. lLower socio-economic status and residiencey in rural areas have contributeion in to the overall incidence of total learning disorders and predicted the greater variation in probability likelihood of having a the learning disorders. These results have applied iimplications for programming interventions programming and remedial training for learning disabled childrenorders