Reduced Expression of Emotion: A Red Flag Signalling Conversion to Psychosis in Clinical High Risk for Psychosis (CHR-P) Populations.

IF 2.7 4区 医学 Q2 PSYCHIATRY
Jone Bjornestad, Tore Tjora, Johannes H Langeveld, Inge Joa, Jan Olav Johannessen, Michelle Friedman-Yakoobian, Wenche Ten Velden Hegelstad
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Abstract

Objective: In this hypothesis-testing study, which is based on findings from a previous atheoretical machine-learning study, we test the predictive power of baseline "reduced expression of emotion" for psychosis.Method: Study participants (N = 96, mean age 16.55 years) were recruited from the Prevention of Psychosis Study in Rogaland, Norway. The Structured Interview for Prodromal Syndromes (SIPS) was conducted 13 times over two years. Reduced expression of emotion was added to positive symptoms at baseline (P1-P5) as a predictor of psychosis onset over a two-year period using logistic regression.Results: Participants with a score above zero on expression of emotion had over eight times the odds of conversion (OR = 8.69, p < .001). Data indicated a significant dose-response association. A model including reduced expression of emotion at baseline together with the positive symptoms of the SIPS rendered the latter statistically insignificant.Conclusions: The study findings confirm findings from the previous machine-learning study, indicating that observing reduced expression of emotion may serve two purposes: first, it may add predictive value to psychosis conversion, and second, it is readily observable. This may facilitate detection of those most at risk within the clinical high risk of psychosis population, as well as those at clinical high risk. A next step could be including this symptom within current high-risk criteria. Future research should consolidate these findings.

情绪表达减少:临床精神病高危人群(chrp)向精神病的红旗信号转换。
目的:在这项假设检验研究中,我们基于先前的一项理论机器学习研究的发现,测试了基线“情绪表达减少”对精神病的预测能力。方法:研究参与者(N = 96,平均年龄16.55岁)从挪威Rogaland的精神病预防研究中招募。前驱症状的结构化访谈(SIPS)在两年内进行了13次。在基线阳性症状(P1-P5)的基础上增加情绪表达减少,使用逻辑回归作为两年精神病发作的预测因子。结果:情绪表达得分在0分以上的参与者转换的几率超过8倍(OR = 8.69, p < .001)。数据显示有显著的剂量-反应关联。一个包括基线情绪表达减少和SIPS阳性症状的模型显示后者在统计上不显著。结论:研究结果证实了之前机器学习研究的结果,表明观察情绪表达减少可能有两个目的:首先,它可能增加精神病转换的预测价值,其次,它很容易观察到。这可能有助于在临床高危精神病人群中发现那些最危险的人,以及那些临床高危人群。下一步可能是将这种症状纳入目前的高风险标准。未来的研究应该巩固这些发现。
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来源期刊
CiteScore
2.70
自引率
0.00%
发文量
48
审稿时长
>12 weeks
期刊介绍: Internationally recognized, Psychiatry has responded to rapid research advances in psychiatry, psychology, neuroscience, trauma, and psychopathology. Increasingly, studies in these areas are being placed in the context of human development across the lifespan, and the multiple systems that influence individual functioning. This journal provides broadly applicable and effective strategies for dealing with the major unsolved problems in the field.
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