Analyses of Prevalence of Mental Illness and Associated Characteristics in Anambra State

Igweze Amechi Henry; Ashinze Akudo Nwankpa; Edike Collins Cornelius

doi:doi:10.11648/j.bsi.20170201.12

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Analyses of Prevalence of Mental Illness and Associated Characteristics in Anambra State

Igweze Amechi Henry, Ashinze Akudo Nwankpa, Edike Collins Cornelius

Published in Biomedical Statistics and Informatics (Volume 2, Issue 1)

Received: 22 December 2016 Accepted: 3 January 2017 Published: 24 January 2017

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Abstract

This study on the prevalence of mental illness and associated characteristics in Anambra State was aimed at determining the prevalence of mental illness by age, sex and period of the year. It was also aimed at determining the relationship between mental illness diagnosis and the studied characteristics. Descriptive statistics, chi-square test of association and the ordinal logistic regression were employed in the study. The results presented show that a significant association exist between mental illness and sex. Also a significant association was found to exist between mental illness and age of patients. This was also visible in the pattern of manifestation of mental illness as mental illness was found to reduce as age increases. On the average, the second quarter of the year was found to have the highest prevalence of mental illness in the study area. On the other hand, even when the first and second quarter proved to be significantly related with mental illness diagnosis, the chi-square test of association shows that there is no significant association between mental illness diagnosis and the period of the years the diagnosis was made. In conclusion, mental illness was found to have significant effect on demographic characteristics but partially with seasonal variations.

Published in	Biomedical Statistics and Informatics (Volume 2, Issue 1)
DOI	10.11648/j.bsi.20170201.12
Page(s)	4-9
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Schizophrenia, Psychosis, Ordinal Logistic Regression, Mental Illness Diagnosis

References

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[2]	Becker, A. E., & Kleinman, A. (2013). Mental health and the global agenda. New England Journal of Medicine, 369 (1), 66-73.
[3]	World Health Organization. (2003). The Mental Health Context: Mental Health Policy and Service Guidance Package. Geneva: WHO
[4]	Okasha, A. (2002). Mental health in Africa: The role of the WPA. World Psychiatry, 1(1), 32.
[5]	Monteiro, N. M (2015). Addressing Mental Illness in Africa: Global Health Challenges and Local Opportunities. Psych. Glob. Persp. Vol 1 (2):78–95.
[6]	Aguocha, C. M., Uwakwe, R. U., Duru, C. B., Diwe, K. C., Aguocha, J. K., Enwere, K. O. and Olose, E. O. (2015). Prevalence and Socio-demographic Determinants of Depression among Patients Attending HIV/AIDS Clinic in a Teaching Hospital in Imo State, Nigeria. American Journal of Medical Sciences and Medicine, vol. 3 (6): 106-112.
[7]	Bromet, E., Bruffaerts, R., Girolamo, G., Fayyad, J., Gureje, O., Haro, J. M., Kawakami, N., Levinson, D., Oakley Browne, M. A., Ormel, J., Posada-Villa, J., Williams, D. R and Kessler, R. C (2009). Mental disorders and termination of education in high-income and low- and middle-income countries: epidemiological study. The British Journal of Psychiatry, 194: 411–417.
[8]	Burke-Miller, J. K., Cook, J. A., Grey, D. D., Razzano, L. A and Taylor, A (2006). Demographic Characteristics and Employment among People with Severe Mental Illness in a Multisite Study.
[9]	Herman, A. A., Stein, D. J., Seedat, S., Heeringa, S. G., Moomal, h., Williams, D. R (2009). The South African Stress and Health (SASH) study: 12-month and lifetime prevalence of common mental disorders. S. Afr Med J; 99: 339-344.
[10]	Lawal, M. A., Mosaku, S. K., Ola, B. A and Morakinyo, O. (2014). Prevalence, Pattern and Factors Associated with Psychiatric Disorders among PersonsArrested for Violent Crimes in Ife/Modakeke Area, Southwestern Nigeria. Journal of Behavioral and Brain Science, 4: 535-543.
[11]	Mbadiwe, O., Agomoh, A. & Efiong, J. (2010) Bipolar Disorder in Enugu, South East Nigeria: Demographic and diagnostic characteristics of patients Psychiatria Danubina, Vol. 22 (1): 152–157.
[12]	Nordin, N. M., Yaacob, S. N. and Sabran, M. S (2010). A Study on Selected Demographic Characteristics and Mental Health of Young Adults in Public Higher Learning Institutions in Malaysia. Global Journal of Health Science Vol. 2 (2).
[13]	Saleem, S., Mahmood, Z. and Madeha Naz (2013). Mental Health Problems in University Students: A Prevalence Study. Journal of Social Sciences, Vol. 7(2): 24-130.

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APA Style

Igweze Amechi Henry, Ashinze Akudo Nwankpa, Edike Collins Cornelius. (2017). Analyses of Prevalence of Mental Illness and Associated Characteristics in Anambra State. Biomedical Statistics and Informatics, 2(1), 4-9. https://doi.org/10.11648/j.bsi.20170201.12

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ACS Style

Igweze Amechi Henry; Ashinze Akudo Nwankpa; Edike Collins Cornelius. Analyses of Prevalence of Mental Illness and Associated Characteristics in Anambra State. Biomed. Stat. Inform. 2017, 2(1), 4-9. doi: 10.11648/j.bsi.20170201.12

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AMA Style

Igweze Amechi Henry, Ashinze Akudo Nwankpa, Edike Collins Cornelius. Analyses of Prevalence of Mental Illness and Associated Characteristics in Anambra State. Biomed Stat Inform. 2017;2(1):4-9. doi: 10.11648/j.bsi.20170201.12

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@article{10.11648/j.bsi.20170201.12,
  author = {Igweze Amechi Henry and Ashinze Akudo Nwankpa and Edike Collins Cornelius},
  title = {Analyses of Prevalence of Mental Illness and Associated Characteristics in Anambra State},
  journal = {Biomedical Statistics and Informatics},
  volume = {2},
  number = {1},
  pages = {4-9},
  doi = {10.11648/j.bsi.20170201.12},
  url = {https://doi.org/10.11648/j.bsi.20170201.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.bsi.20170201.12},
  abstract = {This study on the prevalence of mental illness and associated characteristics in Anambra State was aimed at determining the prevalence of mental illness by age, sex and period of the year. It was also aimed at determining the relationship between mental illness diagnosis and the studied characteristics. Descriptive statistics, chi-square test of association and the ordinal logistic regression were employed in the study. The results presented show that a significant association exist between mental illness and sex. Also a significant association was found to exist between mental illness and age of patients. This was also visible in the pattern of manifestation of mental illness as mental illness was found to reduce as age increases. On the average, the second quarter of the year was found to have the highest prevalence of mental illness in the study area. On the other hand, even when the first and second quarter proved to be significantly related with mental illness diagnosis, the chi-square test of association shows that there is no significant association between mental illness diagnosis and the period of the years the diagnosis was made. In conclusion, mental illness was found to have significant effect on demographic characteristics but partially with seasonal variations.},
 year = {2017}
}

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TY  - JOUR
T1  - Analyses of Prevalence of Mental Illness and Associated Characteristics in Anambra State
AU  - Igweze Amechi Henry
AU  - Ashinze Akudo Nwankpa
AU  - Edike Collins Cornelius
Y1  - 2017/01/24
PY  - 2017
N1  - https://doi.org/10.11648/j.bsi.20170201.12
DO  - 10.11648/j.bsi.20170201.12
T2  - Biomedical Statistics and Informatics
JF  - Biomedical Statistics and Informatics
JO  - Biomedical Statistics and Informatics
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AB  - This study on the prevalence of mental illness and associated characteristics in Anambra State was aimed at determining the prevalence of mental illness by age, sex and period of the year. It was also aimed at determining the relationship between mental illness diagnosis and the studied characteristics. Descriptive statistics, chi-square test of association and the ordinal logistic regression were employed in the study. The results presented show that a significant association exist between mental illness and sex. Also a significant association was found to exist between mental illness and age of patients. This was also visible in the pattern of manifestation of mental illness as mental illness was found to reduce as age increases. On the average, the second quarter of the year was found to have the highest prevalence of mental illness in the study area. On the other hand, even when the first and second quarter proved to be significantly related with mental illness diagnosis, the chi-square test of association shows that there is no significant association between mental illness diagnosis and the period of the years the diagnosis was made. In conclusion, mental illness was found to have significant effect on demographic characteristics but partially with seasonal variations.
VL  - 2
IS  - 1
ER  -

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Author Information

Igweze Amechi Henry

Department of Mathematics/Statistics, School of Applied Sciences, Delta State Polytechnic, Ogwashi-Uku, Nigeria
Ashinze Akudo Nwankpa

Department of Mathematics/Statistics, School of Applied Sciences, Delta State Polytechnic, Ogwashi-Uku, Nigeria
Edike Collins Cornelius

Department of Mathematics/Statistics, School of Applied Sciences, Delta State Polytechnic, Ogwashi-Uku, Nigeria

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Plain Text BibTeX RIS

APA Style

Igweze Amechi Henry, Ashinze Akudo Nwankpa, Edike Collins Cornelius. (2017). Analyses of Prevalence of Mental Illness and Associated Characteristics in Anambra State. Biomedical Statistics and Informatics, 2(1), 4-9. https://doi.org/10.11648/j.bsi.20170201.12

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ACS Style

Igweze Amechi Henry; Ashinze Akudo Nwankpa; Edike Collins Cornelius. Analyses of Prevalence of Mental Illness and Associated Characteristics in Anambra State. Biomed. Stat. Inform. 2017, 2(1), 4-9. doi: 10.11648/j.bsi.20170201.12

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AMA Style

Igweze Amechi Henry, Ashinze Akudo Nwankpa, Edike Collins Cornelius. Analyses of Prevalence of Mental Illness and Associated Characteristics in Anambra State. Biomed Stat Inform. 2017;2(1):4-9. doi: 10.11648/j.bsi.20170201.12

Copy | Download

@article{10.11648/j.bsi.20170201.12,
  author = {Igweze Amechi Henry and Ashinze Akudo Nwankpa and Edike Collins Cornelius},
  title = {Analyses of Prevalence of Mental Illness and Associated Characteristics in Anambra State},
  journal = {Biomedical Statistics and Informatics},
  volume = {2},
  number = {1},
  pages = {4-9},
  doi = {10.11648/j.bsi.20170201.12},
  url = {https://doi.org/10.11648/j.bsi.20170201.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.bsi.20170201.12},
  abstract = {This study on the prevalence of mental illness and associated characteristics in Anambra State was aimed at determining the prevalence of mental illness by age, sex and period of the year. It was also aimed at determining the relationship between mental illness diagnosis and the studied characteristics. Descriptive statistics, chi-square test of association and the ordinal logistic regression were employed in the study. The results presented show that a significant association exist between mental illness and sex. Also a significant association was found to exist between mental illness and age of patients. This was also visible in the pattern of manifestation of mental illness as mental illness was found to reduce as age increases. On the average, the second quarter of the year was found to have the highest prevalence of mental illness in the study area. On the other hand, even when the first and second quarter proved to be significantly related with mental illness diagnosis, the chi-square test of association shows that there is no significant association between mental illness diagnosis and the period of the years the diagnosis was made. In conclusion, mental illness was found to have significant effect on demographic characteristics but partially with seasonal variations.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Analyses of Prevalence of Mental Illness and Associated Characteristics in Anambra State
AU  - Igweze Amechi Henry
AU  - Ashinze Akudo Nwankpa
AU  - Edike Collins Cornelius
Y1  - 2017/01/24
PY  - 2017
N1  - https://doi.org/10.11648/j.bsi.20170201.12
DO  - 10.11648/j.bsi.20170201.12
T2  - Biomedical Statistics and Informatics
JF  - Biomedical Statistics and Informatics
JO  - Biomedical Statistics and Informatics
SP  - 4
EP  - 9
PB  - Science Publishing Group
SN  - 2578-8728
UR  - https://doi.org/10.11648/j.bsi.20170201.12
AB  - This study on the prevalence of mental illness and associated characteristics in Anambra State was aimed at determining the prevalence of mental illness by age, sex and period of the year. It was also aimed at determining the relationship between mental illness diagnosis and the studied characteristics. Descriptive statistics, chi-square test of association and the ordinal logistic regression were employed in the study. The results presented show that a significant association exist between mental illness and sex. Also a significant association was found to exist between mental illness and age of patients. This was also visible in the pattern of manifestation of mental illness as mental illness was found to reduce as age increases. On the average, the second quarter of the year was found to have the highest prevalence of mental illness in the study area. On the other hand, even when the first and second quarter proved to be significantly related with mental illness diagnosis, the chi-square test of association shows that there is no significant association between mental illness diagnosis and the period of the years the diagnosis was made. In conclusion, mental illness was found to have significant effect on demographic characteristics but partially with seasonal variations.
VL  - 2
IS  - 1
ER  -

Copy | Download