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谈健康:对精神分裂症及其他严重精神疾病患者叙述的主题分析

Talking about Health: A Topic Analysis of Narratives from Individuals with Schizophrenia and Other Serious Mental Illnesses.

作者信息

Cowan Tovah, Rodriguez Zachary B, Granrud Ole Edvard, Masucci Michael D, Docherty Nancy M, Cohen Alex S

机构信息

Department of Psychology, Center for Computation and Technology, Louisiana State University; Baton Rouge, LA 70803, USA.

Department of Psychology, Kent State University, Kent, OH 44242, USA.

出版信息

Behav Sci (Basel). 2022 Aug 13;12(8):286. doi: 10.3390/bs12080286.

Abstract

Individuals with schizophrenia have higher mortality and shorter lifespans. There are a multitude of factors which create these conditions, but one aspect is worse physical health, particularly cardiovascular and metabolic health. Many interventions to improve the health of individuals with schizophrenia have been created, but on the whole, there has been limited effectiveness in improving quality of life or lifespan. One potential new avenue for inquiry involves a more patient-centric perspective; understanding aspects of physical health most important, and potentially most amenable to change, for individuals based on their life narratives. This study used topic modeling, a type of Natural Language Processing (NLP) on unstructured speech samples from individuals ( = 366) with serious mental illness, primarily schizophrenia, in order to extract topics. Speech samples were drawn from three studies collected over a decade in two geographically distinct regions of the United States. Several health-related topics emerged, primarily centered around food, living situation, and lifestyle (e.g., routine, hobbies). The implications of these findings for how individuals with serious mental illness and schizophrenia think about their health, and what may be most effective for future health promotion policies and interventions, are discussed.

摘要

精神分裂症患者的死亡率更高,寿命更短。造成这些情况的因素众多,但其中一个方面是身体健康状况较差,尤其是心血管和代谢健康。已经制定了许多改善精神分裂症患者健康的干预措施,但总体而言,在提高生活质量或延长寿命方面效果有限。一个潜在的新研究途径涉及更以患者为中心的视角;根据个人的生活经历,了解对他们来说最重要且可能最易于改变的身体健康方面。本研究使用主题建模,这是一种对来自患有严重精神疾病(主要是精神分裂症)的个人(n = 366)的非结构化语音样本进行的自然语言处理(NLP)类型,以提取主题。语音样本来自在美国两个地理上不同的地区进行了十多年的三项研究。出现了几个与健康相关的主题,主要围绕食物、生活状况和生活方式(例如日常、爱好)。讨论了这些发现对于患有严重精神疾病和精神分裂症的个人如何看待他们的健康,以及对未来健康促进政策和干预措施可能最有效的意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fe6/9405157/0f1c993458c0/behavsci-12-00286-g001.jpg

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