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Quantitative exploration of factors influencing psychotic disorder ailments in Nigeria
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 s...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5537424/ https://www.ncbi.nlm.nih.gov/pubmed/28795095 http://dx.doi.org/10.1016/j.dib.2017.07.046 |
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author | Adejumo, Adebowale O. Ikoba, Nehemiah A. Suleiman, Esivue A. Okagbue, Hilary I. Oguntunde, Pelumi E. Odetunmibi, Oluwole A. Job, Obalowu |
author_facet | Adejumo, Adebowale O. Ikoba, Nehemiah A. Suleiman, Esivue A. Okagbue, Hilary I. Oguntunde, Pelumi E. Odetunmibi, Oluwole A. Job, Obalowu |
author_sort | Adejumo, Adebowale O. |
collection | PubMed |
description | 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 these psychotic disorders (bipolar; vascular dementia, minimal brain dysfunction (MBD), insomnia and Schizophrenia) was considered separately using tables and bar diagrams. Data analysis results are as 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 (> 60 years) 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 (< 30 years) is prone to MBD. Lastly, the factors that influence the ailments are listed: bipolar (age, occupation, marital status, divorce, and spiritual consultation); insomnia (age, occupation, marital status, divorce, and spiritual consultation); schizophrenia (age, occupation, religion, marital status, hereditary, and divorce); MBD (gender, age, occupation, and marital status); and vascular dementia (history of the ailment and spiritual consultation). Bipolar and insomnia are influenced by the same set of factors, which implies that any patient having one is most likely to be at risk of having the other. |
format | Online Article Text |
id | pubmed-5537424 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-55374242017-08-09 Quantitative exploration of factors influencing psychotic disorder ailments in Nigeria Adejumo, Adebowale O. Ikoba, Nehemiah A. Suleiman, Esivue A. Okagbue, Hilary I. Oguntunde, Pelumi E. Odetunmibi, Oluwole A. Job, Obalowu Data Brief Medicine and Dentistry 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 these psychotic disorders (bipolar; vascular dementia, minimal brain dysfunction (MBD), insomnia and Schizophrenia) was considered separately using tables and bar diagrams. Data analysis results are as 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 (> 60 years) 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 (< 30 years) is prone to MBD. Lastly, the factors that influence the ailments are listed: bipolar (age, occupation, marital status, divorce, and spiritual consultation); insomnia (age, occupation, marital status, divorce, and spiritual consultation); schizophrenia (age, occupation, religion, marital status, hereditary, and divorce); MBD (gender, age, occupation, and marital status); and vascular dementia (history of the ailment and spiritual consultation). Bipolar and insomnia are influenced by the same set of factors, which implies that any patient having one is most likely to be at risk of having the other. Elsevier 2017-07-24 /pmc/articles/PMC5537424/ /pubmed/28795095 http://dx.doi.org/10.1016/j.dib.2017.07.046 Text en © 2017 The Authors. Published by Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Medicine and Dentistry Adejumo, Adebowale O. Ikoba, Nehemiah A. Suleiman, Esivue A. Okagbue, Hilary I. Oguntunde, Pelumi E. Odetunmibi, Oluwole A. Job, Obalowu Quantitative exploration of factors influencing psychotic disorder ailments in Nigeria |
title | Quantitative exploration of factors influencing psychotic disorder ailments in Nigeria |
title_full | Quantitative exploration of factors influencing psychotic disorder ailments in Nigeria |
title_fullStr | Quantitative exploration of factors influencing psychotic disorder ailments in Nigeria |
title_full_unstemmed | Quantitative exploration of factors influencing psychotic disorder ailments in Nigeria |
title_short | Quantitative exploration of factors influencing psychotic disorder ailments in Nigeria |
title_sort | quantitative exploration of factors influencing psychotic disorder ailments in nigeria |
topic | Medicine and Dentistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5537424/ https://www.ncbi.nlm.nih.gov/pubmed/28795095 http://dx.doi.org/10.1016/j.dib.2017.07.046 |
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