Suppr超能文献

近期发病的精神疾病严重程度:关于认知、感觉调节和日常生活参与作用的初步研究

Recent onset mental illness severity: pilot study on the role of cognition, sensory modulation, and daily life participation.

作者信息

Lipskaya-Velikovsky Lena, Hershkovitz Ayelet, Bukai Mira, Bar-Shalita Tami

机构信息

School of Occupational Therapy, Faculty of Medicine, The Hebrew University, Jerusalem, Israel.

The Jerusalem Mental Health Center, Jerusalem, Israel.

出版信息

Front Psychiatry. 2024 Sep 30;15:1413635. doi: 10.3389/fpsyt.2024.1413635. eCollection 2024.

Abstract

INTRODUCTION

Early detection of individuals at risk for onset of severe illness is crucial for prevention and early intervention, aiming to mitigate the long-term impact on both the individual and the community. While well-established models exist for predicting the onset and prolonged severity of illness, there is a gap in understanding illness-onset severity. This pilot study aimed to investigate premorbid objective and subjective dimensions of participation in daily life occupations, as well as sensory and cognitive functions as potential markers of the recent-onset mental illness severity.

METHODS

A total of 50 participants (men: N=26, 52%; women: N=24, 48%), aged 18-40 (M=26.2, SD=5.8) with recent-onset mental illness completed standard, well-established assessments of illness severity, cognitive biases and failures, neurocognitive status, participation in daily life, and sensory responsiveness thorough cross-sectional design. The differences between the groups of the illness severity were explored with descriptive statistics, followed by a Kruskal-Wallis test. Discriminant analysis was used suggesting a multi-varied model for the separation between the groups of illness severity.

RESULTS

Three groups of illness severity exhibited differences in premorbid cognitive functions (F(2)=5.8, p<.01) and participation diversity (F(2)=3.8, p<.05). Combining these two indices explained 92% of the variance between the groups (Wilks' Λ = .68, χ2(4) = 17.7, p=.001), accurately classifying mild to marked illness severity (62.5-88.5%).

CONCLUSIONS

The study contributes to revealing factors involved in the formation of more severe mental illness and suggesting possible avenues for early intervention and prevention. Cognitive biases and sensory modulation dysfunction may contribute to the illness formation. Still, the most effective markers of more severe mental illness onset are functional cognition and limited participation diversity. Since addressing these markers is a unique specialization within occupational therapy, the findings highlight the potential contribution the profession can make to the early identification of the most vulnerable populations.

摘要

引言

早期发现有患重症风险的个体对于预防和早期干预至关重要,旨在减轻对个体和社区的长期影响。虽然存在成熟的模型来预测疾病的发作和长期严重程度,但在理解疾病发作严重程度方面仍存在差距。这项试点研究旨在调查病前参与日常生活活动的客观和主观维度,以及感觉和认知功能,作为近期发病精神疾病严重程度的潜在指标。

方法

共有50名年龄在18至40岁(M = 26.2,SD = 5.8)的近期发病精神疾病患者(男性:N = 26,52%;女性:N = 24,48%)通过横断面设计完成了关于疾病严重程度、认知偏差和失误、神经认知状态、参与日常生活以及感觉反应性的标准且成熟的评估。通过描述性统计探索疾病严重程度组间的差异,随后进行Kruskal-Wallis检验。使用判别分析提出一个多变量模型用于区分疾病严重程度组。

结果

三组疾病严重程度在病前认知功能(F(2)=5.8,p<.01)和参与多样性(F(2)=3.8,p<.05)方面存在差异。结合这两个指标解释了组间92%的方差(威尔克斯'Λ =.68,χ2(4) = 17.7,p =.001),准确分类轻度至重度疾病严重程度(62.5 - 88.5%)。

结论

该研究有助于揭示导致更严重精神疾病形成的因素,并为早期干预和预防提出可能的途径。认知偏差和感觉调节功能障碍可能促成疾病形成。然而,更严重精神疾病发作的最有效指标是功能性认知和有限的参与多样性。由于解决这些指标是职业治疗中的独特专业领域,研究结果突出了该专业对早期识别最脆弱人群可能做出的贡献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7736/11472775/6da9b3511bd7/fpsyt-15-1413635-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验