Evidence map›Paper›PMID 40186171›Full record

ArticleBMC psychiatry2025

Bayesian joint longitudinal and survival modeling of bipolar symptom burden and time to symptomatic recovery of patients with bipolar disorder at Jimma University Medical Center, Jimma, Ethiopia.

Tefera Fufa Kulute, Geremew Muleta Akessa, Demeke Kifle

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Article in BMC psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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3 authors.

Tefera Fufa KuluteCollege of Natural and Computational Science, Assosa University, Assosa, Ethiopia. teferafufadot@gmail.com.
Geremew Muleta AkessaCollege of Natural Science, Jimma University, Jimma, Ethiopia.
Demeke KifleCollege of Natural Science, Jimma University, Jimma, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBipolar disorder is a mental health problem that primarily affects mood. Symptoms of bipolar disorder are extreme irritability or agitation, a period of feeling empty, loss of interest in usual activities, sleep problems Etc. Symptomatic recovery is a dimensional measure that refers to improvement in the magnitude of symptoms. This investigation aims to determine the association between the burden of symptoms and time to symptomatic recovery of bipolar disorder that may increase more awareness about this disorder.

methodsA Bayesian joint modeling of longitudinal and survival data was proposed to examine the association between the burden of symptoms and time to symptomatic recovery of bipolar disordered individuals at Jimma University Medical Center, Jimma, Ethiopia. The data in this investigation were retrospective longitudinal data and survival data from all the admitted follow-up of bipolar disorder patients from September 2018 to January 2020.

resultsFrom the total of 257 bipolar disorders, about 116(45.1%) of them experienced an event of recovery. The time interval of follow up, age, the interaction between time interval of follow up and adolescent first onset of the disease, the interaction between time interval of follow up and event of relapse, the interaction between linear time interval of follow up and existence of other cofactors, and the interaction of substance abuse and chewing khat have significantly affected the log expected burden of bipolar symptoms. In survival sub-models, the covariates; divorced, event of relapse, mixed type of episodes significantly affect the time to symptomatic recovery at 95% confidence level. The association between burden of bipolar symptoms and time-to- symptomatic recovery is explained by α

conclusionsThis study using the Bayesian joint modeling of longitudinal and survival has revealed a strong negative relationship between the event of recovery and the burden of bipolar symptoms at the baseline time. The study indicates that at the beginning, since the burden of bipolar symptoms is high, the chance of symptomatic recovery is low. And, we hypothesize that individuals with a higher initial symptom burden or a slower rate of symptom reduction (captured by b

Indexed as

Bipolar DisorderCost of IllnessAcademic Medical CentersAdolescentAdultBayes TheoremCathaEthiopiaFemaleHumansLongitudinal StudiesMaleMiddle AgedRetrospective StudiesSurvival AnalysisSymptom BurdenBayesian joint modeling of longitudinal and survival timeBipolar disorderCox regression modelGeneralized linear mixed modelsShared parameters

Identifiers

PMID40186171
PMCPMC11971879

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