Thought, language, and communication deficits and association with everyday functional outcomes among community-dwelling middle-aged and older adults with schizophrenia

精神分裂症患者(中老年)在社区居住期间的思维、语言和沟通障碍及其与日常功能结果的关系

阅读:1

Abstract

Older adults with schizophrenia experience poorer community integration and social functioning compared to same-age peers with no mental health disorders; these individuals are at elevated risk for functional decline and early institutionalization in long-term care facilities. Deficits in thought, language, and communication (TLC; that is, thought disorder and alogia) are core features of schizophrenia and may worsen with age; however, little research focuses on the functional sequelae of these impairments among older adults with schizophrenia. The present study aimed to examine the relationships among age, TLC deficits, and functional outcomes in a sample of community-dwelling middle-aged and older adults with schizophrenia (N = 245; ages 40-85). Participants completed assessments of symptoms, neurocognition, TLC deficits, and functional outcomes. Two different categories of TLC deficits were examined: verbal underproductivity (i.e., alogia) and disconnected speech. Regression analyses, controlling for gender, age, Veteran status, smoking status, cognitive impairment, and symptom severity, found that disconnected speech predicted occupational functioning, while verbal underproductivity predicted capacity to communicate skillfully in semi-structured social situations, as well as community functioning across interpersonal, occupational, and everyday living domains. Exploratory mediation analyses found significant indirect effects of age, through TLC deficits, on certain functional outcomes. Targeted training to improve TLC deficits, especially verbal underproductivity, among older adults with schizophrenia could have downstream effects on community functioning, improving outcomes for a vulnerable group.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。