More than words: Speech production in first-episode psychosis predicts later social and vocational functioning

被引:4
作者
Mackinley, Michael [1 ,2 ]
Limongi, Roberto [1 ]
Silva, Angelica Maria [1 ]
Richard, Julie [3 ]
Subramanian, Priya [3 ]
Ganjavi, Hooman [3 ]
Palaniyappan, Lena [1 ,3 ,4 ,5 ]
机构
[1] Univ Western Ontario, Robarts Res Inst, London, ON, Canada
[2] Lawson Hlth Res Inst, London, ON, Canada
[3] Univ Western Ontario, Dept Psychiat, London, ON, Canada
[4] Western Univ, Dept Med Biophys, London, ON, Canada
[5] McGill Univ, Douglas Mental Hlth Univ Inst, Dept Psychiat, Montreal, PQ, Canada
来源
FRONTIERS IN PSYCHIATRY | 2023年 / 14卷
基金
加拿大健康研究院;
关键词
language; thought disorder; First Episode Psychosis; schizophrenia; NEET (neither education employment or training); FORMAL THOUGHT-DISORDER; NEGATIVE SYMPTOMS; SCHIZOPHRENIA; LANGUAGE; COHESION; ABNORMALITIES; NARRATIVES; REMISSION; PEOPLE;
D O I
10.3389/fpsyt.2023.1144281
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
BackgroundSeveral disturbances in speech are present in psychosis; however, the relationship between these disturbances during the first-episode of psychosis (FEP) and later vocational functioning is unclear. Demonstrating this relationship is critical if we expect speech and communication deficits to emerge as targets for early intervention. MethodWe analyzed three 1-min speech samples using automated speech analysis and Bayes networks in an antipsychotic-naive sample of 39 FEP patients and followed them longitudinally to determine their vocational status (engaged or not engaged in employment education or training-EET vs. NEET) after 6-12 months of treatment. Five baseline linguistic variables with prior evidence of clinical relevance (total and acausal connectives use, pronoun use, analytic thinking, and total words uttered in a limited period) were included in a Bayes network along with follow-up NEET status and Social and Occupational Functioning Assessment Scale (SOFAS) scores to determine dependencies among these variables. We also included clinical (Positive and Negative Syndrome Scale 8-item version (PANSS-8)), social (parental socioeconomic status), and cognitive features (processing speed) at the time of presentation as covariates. ResultsThe Bayes network revealed that only total words spoken at the baseline assessment were directly associated with later NEET status and had an indirect association with SOFAS, with a second set of dependencies emerging among the remaining linguistic variables. The primary (speech-only) model outperformed models including parental socioeconomic status, processing speed or both as latent variables. ConclusionImpoverished speech, even at subclinical levels, may hold prognostic value for functional outcomes and warrant consideration when providing measurement based care for first-episode psychosis.
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页数:9
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