Quantitative exploration of factors in fluencing psychotic disorder ailments in Nigeria

Adejumo,, A. O. and IKOBA, N. A. and Suleiman, Esivue A. and Okagbue, H. I. and Oguntunde, P.E. and Odetunmibi, , O. A. and JOB, O. (2017) Quantitative exploration of factors in fluencing psychotic disorder ailments in Nigeria. Data inBrief, 14. pp. 175-185.

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Abstract

In this data article,records on demographic data,family problem issues, as well as results of medical tests from five major classes of psychotic disorder namely: bipolar; vascular dementia, minimal brain dysfunction; insomnia; and schizophrenia,were collected on 500 psychotic patients carefully selected from the pool of medical records of Yaba Psychiatric Hospital, Lagos,Nigeria,for the period of 5 years,between January 2010 and December 2014, were examined.X squared Statistic was used to examine each of psychotic disorders to identify demographic (age, gender, religion, marital status,and occupation) and family issues (loss of parent,history of such ailment in the family(family status) ,divorce,head injury,and heredity of such ailment(genetic)factors that influence them. A clear description on each of the sepsychotic disorders (bipolar;vascular dementia,minimal brain dysfunction(MBD),insomnia and Schizophrenia)was considered separately using tables and bar diagrams.Data analysis results areas follows: firstly, 40.2%, of the 500 psychotic patients tested positive to bipolar,40.6% to insomnia, 75.0% to schizophrenia, 43.6% to MBD and 69.2% to vascular dementia. Secondly,female patients were more prone to all the psychotic indicators than their male counterpart except in MBD.Thirdly,the oldest age group(4 60years) is more prone to bipolar and insomnia ailments,while the mid age group(30 – 60 years)is prone to schizophrenia and vascular dementia, and the youngest group(o 30 years)is prone to MBD

Item Type:	Article
Uncontrolled Keywords:	Psychotic disorder Bipolar Vascular dementia Minimal brain dysfunction,insomnia,schizophrenia X-squared statistic Binary logistic regression
Subjects:	Q Science > Q Science (General) Q Science > QA Mathematics
Divisions:	Faculty of Engineering, Science and Mathematics > School of Mathematics
Depositing User:	Mrs Hannah Akinwumi
Date Deposited:	27 Mar 2018 13:43
Last Modified:	27 Mar 2018 13:43
URI:	http://eprints.covenantuniversity.edu.ng/id/eprint/10513

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