Personality traits in the differentiation of major depressive disorder and bipolar disorder during a depressive episode

Araújo, Jaciana Marlova Gonçalves; Passos, Miguel Bezerra dos; Molina, Mariane Lopez; Silva, Ricardo Azevedo da; Souza, Luciano Dias de Mattos

doi:10.1016/j.psychres.2015.12.029

Cited by 2 publications

(2 citation statements)

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“…Our latent class solution extended upon Wardenaar et al's (5) study with patients with major depressive disorder by identifying resilient and vulnerable classes, but also a third, highly vulnerable class. Despite methodical similarities, the novelty of the current study findings in a BD sample is noteworthy; particularly given the differences in the personality profiles of unipolar depression versus BD (27,28). In terms of the obtained class solution, a key point to consider is the definite rejection of the 1-class model, implying that reporting the mean scores for each individual personality scale for the entire sample would be an unacceptable oversimplification of the data.…”

Section: Discussion Of the Obtained Class Solutionmentioning

confidence: 90%

The Big Five Model in Bipolar Disorder: A Latent Profile Analysis and its Impact on Longterm Illness Severity

Ortelbach

Rote

Dingelstadt

et al. 2021

Preprint

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Background Using a personality typing approach, we investigated the relationship between personality profiles and the prediction of longterm illness severity in patients with bipolar disorder (BD). While previous research suggests associations between BD and traits from the NEO-FFI profiles, the current study firstly aimed to identify latent classes of NEO-FFI profiles, and, secondly, to examine their impact on the longterm prognosis of BD. Methods Based on the NEO-FFI profiles of 134 euthymic patients diagnosed with BD (64.2% female, mean age = 44.3 years), successive latent profile analyses were conducted. Subsequently, a subsample (n = 80) was examined prospectively by performing multiple regression analysis to evaluate the longitudinal course of the disease (mean: 54.7 weeks) measured using a modified Morbidity Index. Results The latent profile analyses suggested a 3-class model typifying in a resilient (n = 68, 51%), vulnerable (n = 55, 41%) and highly vulnerable (n = 11, 8%) class. In the regression analysis, higher vulnerability predicted a higher longterm Morbidity Index ( R 2 = .28). Conclusions Subgroups of patients with BD share a number of discrete personality features and their illness is characterized by a similar clinical course. This knowledge is valuable in a variety of clinical contexts including early detection, intervention planning and treatment process.

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Section: Discussion Of the Obtained Class Solutionmentioning

confidence: 90%

The Big Five Model in Bipolar Disorder: A Latent Profile Analysis and its Impact on Longterm Illness Severity

Ortelbach

Rote

Dingelstadt

et al. 2021

Preprint

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“…’s (Wardenaar et al 2014 ) study with patients with major depressive disorder by identifying resilient and vulnerable classes, but also a third, highly vulnerable class. Despite methodical similarities, the novelty of the current study findings in a BD sample is noteworthy; particularly given the differences in the personality profiles of unipolar depression versus BD (Akiskal et al 2006 ; Araujo et al 2016 ). In terms of the obtained class solution, a key point to consider is the definite rejection of the 1-class model, hence, this finding strongly supports the search for subgroups in the observed sample of patients.…”

Section: Discussionmentioning

confidence: 92%

The big five model in bipolar disorder: a latent profile analysis and its impact on longterm illness severity

Ortelbach

Rote

Dingelstadt

et al. 2022

Int J Bipolar Disord

View full text Add to dashboard Cite

Background Using a personality typing approach, we investigated the relationship between personality profiles and the prediction of longterm illness severity in patients with bipolar disorder (BD). While previous research suggests associations between BD and traits from the NEO-FFI profiles, the current study firstly aimed to identify latent classes of NEO-FFI profiles, and, secondly, to examine their impact on the longterm prognosis of BD. Methods Based on the NEO-FFI profiles of 134 euthymic patients diagnosed with BD (64.2% female, mean age = 44.3 years), successive latent profile analyses were conducted. Subsequently, a subsample (n = 80) was examined prospectively by performing multiple regression analysis of the latent classes to evaluate the longitudinal course of the disease (mean: 54.7 weeks) measured using a modified Morbidity Index. Results The latent profile analyses suggested a 3-class model typifying in a resilient (n = 68, 51%), vulnerable (n = 55, 41%) and highly vulnerable (n = 11, 8%) class. In the regression analysis, higher vulnerability predicted a higher longterm Morbidity Index (R2 = 0.28). Conclusions Subgroups of patients with BD share a number of discrete personality features and their illness is characterized by a similar clinical course. This knowledge is valuable in a variety of clinical contexts including early detection, intervention planning and treatment process.

show abstract

Personality traits in the differentiation of major depressive disorder and bipolar disorder during a depressive episode

Cited by 2 publications

References 17 publications

The Big Five Model in Bipolar Disorder: A Latent Profile Analysis and its Impact on Longterm Illness Severity

The Big Five Model in Bipolar Disorder: A Latent Profile Analysis and its Impact on Longterm Illness Severity

The big five model in bipolar disorder: a latent profile analysis and its impact on longterm illness severity

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