Chrome Extension
WeChat Mini Program
Use on ChatGLM
VIPCreated with Sketch.

    • Professional Reintegration of Stroke Survivors and Their Mental Health, Quality of Life and Community Integration

    Joana Matos,Ana Henriques,Ana Moura,Elisabete Alves

    Quality of Life Research（2024）

    University of Porto (ISPUP) | University of Évora

    Cited 0|Views0
    Abstract
    To assess the association between professional reintegration and mental health, quality of life (QoL) and community reintegration of stroke survivors. Using a cross-sectional study design, a structured questionnaire was administered to previously working stroke survivors, 18–24 months post-stroke. Data on sociodemographic characteristics, professional reintegration (prevalence of return to work (RTW), period of RTW, job placement, function at work, reintegration support, association of stroke with work and number of working hours), mental health (Hospital Anxiety and Depression Questionnaire), QoL (Stroke Specific Quality of Life Scale) and community integration (Community Integration Questionnaire) were reported by 553 stroke survivors. Twenty months after stroke, 313 (56.6
    More
    Translated text
    Key words
    Professional reintegration,Return to work,Stroke,Rehabilitation,Mental health,Quality of life
    PDF
    View via Publisher
    Bibtex
    AI Read Science
    AI Summary
    AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
    Example
    Background
    Key content
    Introduction
    Methods
    Results
    Related work
    Fund
    Key content
    • Pretraining has recently greatly promoted the development of natural language processing (NLP)
    • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
    • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
    • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
    • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
    Try using models to generate summary,it takes about 60s
    Must-Reading Tree
    Example
    Generate MRT to find the research sequence of this paper
    Data Disclaimer
    The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
    Chat Paper
    【要点】：本文研究了中风幸存者的职业重新融入与他们的心理健康、生活质量及社区融入之间的关联性。
    

    【方法】：采用横断面研究设计，对之前工作过的中风幸存者在中风后18-24个月进行结构性问卷调研。
    

    【实验】：通过对553名中风幸存者的调研数据进行分析，包括社会人口统计特征、职业重新融入情况、心理健康（使用医院焦虑和抑郁问卷）、生活质量（使用中风特定生活质量量表）以及社区融入（使用社区融入问卷）情况，发现中风20个月后，56.6%的参与者重返工作岗位。
    去 AI 文献库 对话