Modeling association between times to recurrence of the different polarities in bipolar disorder among service seekers in urban Nigeria: a survival analysis approach
Adeniyi Francis Fagbamigbe,1 Victor Adesola Makanjuola2 1Department of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Nigeria; 2Department of Psychiatry, College of Medicine, University of Ibadan, Ibadan Nigeria Introduction: Bipolar disor...
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Dove Medical Press
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oai:doaj.org-article:fa5b9a636ec144268ae9a130c9eff91d2021-12-02T03:04:19ZModeling association between times to recurrence of the different polarities in bipolar disorder among service seekers in urban Nigeria: a survival analysis approach1178-2021https://doaj.org/article/fa5b9a636ec144268ae9a130c9eff91d2017-07-01T00:00:00Zhttps://www.dovepress.com/modeling--association-between-times-to-recurrence-of-the-different-pol-peer-reviewed-article-NDThttps://doaj.org/toc/1178-2021Adeniyi Francis Fagbamigbe,1 Victor Adesola Makanjuola2 1Department of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Nigeria; 2Department of Psychiatry, College of Medicine, University of Ibadan, Ibadan Nigeria Introduction: Bipolar disorder (BD) remains both a clinical and public health challenge worldwide, especially in developing countries such as Nigeria. Many studies have focused on prevalence and recurrences among BD service seekers but little has been documented on the nature, strength, direction, existence, and estimation of association between times to recurrence of the two possible polarities or mood episodes in BD. In this study, we explored the association between durations before recurrence of depression and manic episodes among people seeking treatment for BD.Methods: This analytical study used retrospective data of 467 persons who sought treatment for BD at the psychiatric clinic of University College Hospital, Ibadan, Nigeria between 2005 and 2014. Descriptive statistics were used to explore the data. We right-censored the data and obtained Kaplan–Meier estimates of the time to recurrence of the outcomes and transformed the estimates to standardized binormal data using quantile-quantile transformation. The likelihood was maximized to obtain the maximum likelihood estimate of the association parameter at 5% significance level.Results: The mean (± standard deviation) age of the respondents was 32.9±12.9 years, this was lower among service seekers who were initially diagnosed with mania than among those initially diagnosed with depression (31.3±11.6, 33.2±11.9, respectively). The median survival time to recurrence of mania and depression among the patients was 1,120 and 745 days, respectively, whereas association between times to recurrence of mania and depression was maximized at 0.67 (95% confidence interval: 0.62–0.71).Conclusion: There exists a strong and positive association between times to recurrence of depression and mania in BD. The longer the time to recurrence of mania, the longer the time to recurrence of depression and vice versa. Keywords: bipolar disorder, time to recurrence, depression, bivariate censored outcomes, maximum likelihood estimates, mania Fagbamigbe AFMakanjuola VADove Medical PressarticleBipolar disordertime to recurrencedepressionBivariate Censored outcomesMaximum likelihood estimatesNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571Neurology. Diseases of the nervous systemRC346-429ENNeuropsychiatric Disease and Treatment, Vol Volume 13, Pp 1967-1974 (2017) |
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Bipolar disorder time to recurrence depression Bivariate Censored outcomes Maximum likelihood estimates Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Neurology. Diseases of the nervous system RC346-429 |
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Bipolar disorder time to recurrence depression Bivariate Censored outcomes Maximum likelihood estimates Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Neurology. Diseases of the nervous system RC346-429 Fagbamigbe AF Makanjuola VA Modeling association between times to recurrence of the different polarities in bipolar disorder among service seekers in urban Nigeria: a survival analysis approach |
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Adeniyi Francis Fagbamigbe,1 Victor Adesola Makanjuola2 1Department of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Nigeria; 2Department of Psychiatry, College of Medicine, University of Ibadan, Ibadan Nigeria Introduction: Bipolar disorder (BD) remains both a clinical and public health challenge worldwide, especially in developing countries such as Nigeria. Many studies have focused on prevalence and recurrences among BD service seekers but little has been documented on the nature, strength, direction, existence, and estimation of association between times to recurrence of the two possible polarities or mood episodes in BD. In this study, we explored the association between durations before recurrence of depression and manic episodes among people seeking treatment for BD.Methods: This analytical study used retrospective data of 467 persons who sought treatment for BD at the psychiatric clinic of University College Hospital, Ibadan, Nigeria between 2005 and 2014. Descriptive statistics were used to explore the data. We right-censored the data and obtained Kaplan–Meier estimates of the time to recurrence of the outcomes and transformed the estimates to standardized binormal data using quantile-quantile transformation. The likelihood was maximized to obtain the maximum likelihood estimate of the association parameter at 5% significance level.Results: The mean (± standard deviation) age of the respondents was 32.9±12.9 years, this was lower among service seekers who were initially diagnosed with mania than among those initially diagnosed with depression (31.3±11.6, 33.2±11.9, respectively). The median survival time to recurrence of mania and depression among the patients was 1,120 and 745 days, respectively, whereas association between times to recurrence of mania and depression was maximized at 0.67 (95% confidence interval: 0.62–0.71).Conclusion: There exists a strong and positive association between times to recurrence of depression and mania in BD. The longer the time to recurrence of mania, the longer the time to recurrence of depression and vice versa. Keywords: bipolar disorder, time to recurrence, depression, bivariate censored outcomes, maximum likelihood estimates, mania |
format |
article |
author |
Fagbamigbe AF Makanjuola VA |
author_facet |
Fagbamigbe AF Makanjuola VA |
author_sort |
Fagbamigbe AF |
title |
Modeling association between times to recurrence of the different polarities in bipolar disorder among service seekers in urban Nigeria: a survival analysis approach |
title_short |
Modeling association between times to recurrence of the different polarities in bipolar disorder among service seekers in urban Nigeria: a survival analysis approach |
title_full |
Modeling association between times to recurrence of the different polarities in bipolar disorder among service seekers in urban Nigeria: a survival analysis approach |
title_fullStr |
Modeling association between times to recurrence of the different polarities in bipolar disorder among service seekers in urban Nigeria: a survival analysis approach |
title_full_unstemmed |
Modeling association between times to recurrence of the different polarities in bipolar disorder among service seekers in urban Nigeria: a survival analysis approach |
title_sort |
modeling association between times to recurrence of the different polarities in bipolar disorder among service seekers in urban nigeria: a survival analysis approach |
publisher |
Dove Medical Press |
publishDate |
2017 |
url |
https://doaj.org/article/fa5b9a636ec144268ae9a130c9eff91d |
work_keys_str_mv |
AT fagbamigbeaf modelingassociationbetweentimestorecurrenceofthedifferentpolaritiesinbipolardisorderamongserviceseekersinurbannigeriaasurvivalanalysisapproach AT makanjuolava modelingassociationbetweentimestorecurrenceofthedifferentpolaritiesinbipolardisorderamongserviceseekersinurbannigeriaasurvivalanalysisapproach |
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1718402019170975744 |