Estimation of premorbid intelligence: Demographical and current neurocognitive functioning based algorithms

Background & Aim: Establishing a premorbid level of intellectual functioning is crucial for determining the severity level of impairment and prognosis for patients in clinical setting. Therefore, the study aimed to develop a method to estimate premorbid IQ of Hindi speaking Indian population.Methods and materials: A Hindi vocabulary test was developed (N = 60) and standardized (N = 100). The regression algorithm has been developed using VAIS, WAPIS, RPMT, and a newly developed Vocabulary test, and validated on 100 normal individuals and on 39 brain injury patients.Results: The estimated premorbid Verbal IQ and performance IQ equation was developed by using demographic variables combine with Hindi vocabulary scores and Matrix Reasoning raw scores respectively. Both the esti-mated premorbid verbal and performance IQ were found to be significant and valid in estimating verbal and performance IQ in normal and brain injury population.Conclusion: These equations for estimating verbal and performance IQ were found significantly accurate in predicting verbal and performance IQ.

Automated summary

The study aimed to develop a method to estimate premorbid IQ of Hindi speaking Indian population through the development and standardization of a Hindi vocabulary test. By developing equations for estimating premorbid verbal and performance IQ, the study found these equations to be significant and valid in both normal and brain injury population for predicting verbal and performance IQ.