Bayesian models to explain autistic traits in psychiatric population
Introduction Studies on psychiatric patients have shown that the presence of autistic traits affects the effectiveness of the treatment, decreasing the likelihood of positive clinical outcomes. Objectives The aim of the present study is to investigate which are the areas of overlap between psych...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Cambridge University Press
2021-04-01
|
| Series: | European Psychiatry |
| Subjects: | |
| Online Access: | https://www.cambridge.org/core/product/identifier/S0924933821006428/type/journal_article |
| _version_ | 1797617220416700416 |
|---|---|
| author | M. Benassi S. Garofalo L. Vitali M. Orsoni R. Sant’Angelo R. Raggini G. Piraccini |
| author_facet | M. Benassi S. Garofalo L. Vitali M. Orsoni R. Sant’Angelo R. Raggini G. Piraccini |
| author_sort | M. Benassi |
| collection | DOAJ |
| description |
Introduction
Studies on psychiatric patients have shown that the presence of autistic traits affects the effectiveness of the treatment, decreasing the likelihood of positive clinical outcomes.
Objectives
The aim of the present study is to investigate which are the areas of overlap between psychiatric symptoms and the traits of the autism spectrum using a bayesian approach.
Methods
A sample of 190 adult psychiatric patients, diagnosed with schizophrenia, bipolar disorder, major depression, and personality disorder participated in the study. The RAADS-R questionnaire was used to assess the presence of autistic traits. The severity of psychiatric symptoms was measured with the BPRS and PANSS scales, the perceived well-being and disability using the Whodas and Whoqol scales, the TOL and STROOP for the measurement of executive functions, the attentional matrices for visual-spatial attention, the Raven for general cognitive skills.
Results
No difference emerged between the diagnoses regarding the presence of symptoms of the autism spectrum, which affects 64% of subjects. Logistic regression showed that the severity of symptoms measured as BPRS and PANSS predicted the probability of having autistic traits. Bayesian regression showed that specific autistic traits are indicative of executive functions deficits. Namely, motor impairment severity measured at RAADS is strongly predicted by rule violation with number of correct moves measured at TOL. The other executive functions seemed to be only moderately linked to autistic traits.
Conclusions
These results provide new information about the expression of comorbidity with autism in psychiatric patients.
|
| first_indexed | 2024-03-11T07:52:45Z |
| format | Article |
| id | doaj.art-a7fa0189b7c648f6b0c33a721546ba82 |
| institution | Directory Open Access Journal |
| issn | 0924-9338 1778-3585 |
| language | English |
| last_indexed | 2024-03-11T07:52:45Z |
| publishDate | 2021-04-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | European Psychiatry |
| spelling | doaj.art-a7fa0189b7c648f6b0c33a721546ba822023-11-17T05:06:23ZengCambridge University PressEuropean Psychiatry0924-93381778-35852021-04-0164S239S24010.1192/j.eurpsy.2021.642Bayesian models to explain autistic traits in psychiatric populationM. Benassi0S. Garofalo1L. Vitali2M. Orsoni3R. Sant’Angelo4R. Raggini5G. Piraccini6Department Of Psychology, University of Bologna, Cesena, ItalyDepartment Of Psychology, University of Bologna, Cesena, ItalyDepartment Of Psychology, University of Bologna, Cesena, ItalyDepartment Of Psychology, University of Bologna, Cesena, ItalyMental Health Department, AUSL ROMAGNA, Cesena, ItalyMental Health Department, AUSL ROMAGNA, Cesena, ItalyMental Health Department, AUSL ROMAGNA, Cesena, Italy Introduction Studies on psychiatric patients have shown that the presence of autistic traits affects the effectiveness of the treatment, decreasing the likelihood of positive clinical outcomes. Objectives The aim of the present study is to investigate which are the areas of overlap between psychiatric symptoms and the traits of the autism spectrum using a bayesian approach. Methods A sample of 190 adult psychiatric patients, diagnosed with schizophrenia, bipolar disorder, major depression, and personality disorder participated in the study. The RAADS-R questionnaire was used to assess the presence of autistic traits. The severity of psychiatric symptoms was measured with the BPRS and PANSS scales, the perceived well-being and disability using the Whodas and Whoqol scales, the TOL and STROOP for the measurement of executive functions, the attentional matrices for visual-spatial attention, the Raven for general cognitive skills. Results No difference emerged between the diagnoses regarding the presence of symptoms of the autism spectrum, which affects 64% of subjects. Logistic regression showed that the severity of symptoms measured as BPRS and PANSS predicted the probability of having autistic traits. Bayesian regression showed that specific autistic traits are indicative of executive functions deficits. Namely, motor impairment severity measured at RAADS is strongly predicted by rule violation with number of correct moves measured at TOL. The other executive functions seemed to be only moderately linked to autistic traits. Conclusions These results provide new information about the expression of comorbidity with autism in psychiatric patients. https://www.cambridge.org/core/product/identifier/S0924933821006428/type/journal_articleexecutive functionBayesian modelautistic traitsPsychiatric symptoms |
| spellingShingle | M. Benassi S. Garofalo L. Vitali M. Orsoni R. Sant’Angelo R. Raggini G. Piraccini Bayesian models to explain autistic traits in psychiatric population European Psychiatry executive function Bayesian model autistic traits Psychiatric symptoms |
| title | Bayesian models to explain autistic traits in psychiatric population |
| title_full | Bayesian models to explain autistic traits in psychiatric population |
| title_fullStr | Bayesian models to explain autistic traits in psychiatric population |
| title_full_unstemmed | Bayesian models to explain autistic traits in psychiatric population |
| title_short | Bayesian models to explain autistic traits in psychiatric population |
| title_sort | bayesian models to explain autistic traits in psychiatric population |
| topic | executive function Bayesian model autistic traits Psychiatric symptoms |
| url | https://www.cambridge.org/core/product/identifier/S0924933821006428/type/journal_article |
| work_keys_str_mv | AT mbenassi bayesianmodelstoexplainautistictraitsinpsychiatricpopulation AT sgarofalo bayesianmodelstoexplainautistictraitsinpsychiatricpopulation AT lvitali bayesianmodelstoexplainautistictraitsinpsychiatricpopulation AT morsoni bayesianmodelstoexplainautistictraitsinpsychiatricpopulation AT rsantangelo bayesianmodelstoexplainautistictraitsinpsychiatricpopulation AT rraggini bayesianmodelstoexplainautistictraitsinpsychiatricpopulation AT gpiraccini bayesianmodelstoexplainautistictraitsinpsychiatricpopulation |