Objective: Patients with medically unexplained symptoms (MUS) are believed to have a deviant way of talking about complaints. This study systematically compared linguistic markers in symptom presentations of patients with MUS and medically explained symptoms (MES).
Methods: This content analysis (cross-sectional study) conceptualized relevant linguistic markers based on previous research about MUS communication. Linguistic markers included negations ("not"), intensifiers ("very"), diminishers ("a little"), first or third person subject ("I" vs. "my body"), subjectivity markers ("I think") and abstraction ("I'm gasping for breath" vs. "I'm short of breath"). We also coded valence, reference to physical or mental states, and consultation phase. We compared 41 MUS and 41 MES transcribed video-recorded general practice consultations. Data were analyzed with binary random intercepts models.
Results: We selected and coded 2752 relevant utterances. Patients with MUS used less diminishers compared to patients with MES, but this main effect disappeared when consultation phase was included as predictor. For all other linguistic variables, the analyses did not reveal any variation in language use based on whether patients had MUS or MES. Importantly, utterances' valence and reference to physical or mental state did predict the use of linguistic markers.
Conclusion: We observed no systematic variations in linguistic markers for patients who suffered from MUS compared to MES. Patients varied their language use based on utterances' valence and reference to physical or mental states. Current ideas about deviant patient communication may be based on stigmatized perceptions of how patients with MUS communicate, rather than actual differences in their talk.
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http://dx.doi.org/10.1016/j.jpsychores.2021.110667 | DOI Listing |
Alzheimers Dement
December 2024
Cognitive Neuroscience Center, University of San Andrés, Victoria, Buenos Aires, Argentina.
Background: Automated speech and language analysis (ASLA) represents a powerful innovation for detecting and monitoring persons with or at risk for dementia. Given its cost-efficiency and automaticity, its impact can be vital for under-resourced communities, such Spanish-speaking Latinos. However, ASLA markers are understudied in this group and may differ from those established in widely studied populations (e.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Cardinal Tien Hospital, New Taipei City, Taiwan.
Background: It has been found that speech analysis is a sensitive method for early Alzheimer's disease (AD) detection. Among the various linguistic features, silent pause has emerged as a fair indicator, exhibiting higher prevalence in individuals with AD compared to general population. This study aimed to further examine the relationship between long pause ratio (LPR) in speech and traditional markers of disease progression, like biomarkers, neuroimaging features and neuropsychological tests.
View Article and Find Full Text PDFFuture clinical trials targeting Alzheimer's disease (AD) on new disease modifying drugs necessitate a paradigm shift towards early identification of individuals at risk. Emerging evidence indicates that subtle alterations in language and speech characteristics may manifest concurrently with the progression of neurodegenerative disorders like AD. These changes manifest as discernible variations, assessable through semantic nuances, word choices, sentiment, grammar usage (linguistic features), and phonetic/acoustic traits (paralinguistic features).
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Cardinal Tien Hospital, New Taipei City, Taiwan.
Background: Gait performance has been found to be an effective method for screening cognitive impairment in elderly. Nevertheless, the efficacy of utilizing gait speed as a marker for monitoring cognitive changes remains incompletely substantiated.
Method: From 2021 to 2023, we recruited 104 participants from the memory clinic of Cardinal Tien Hospital in Taipei, Taiwan.
Alzheimers Dement
December 2024
Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Background: Posterior Cortical Atrophy (PCA) is a syndrome characterized by a progressive decline in higher-order visuospatial processing, leading to symptoms such as space perception deficit, simultanagnosia, and object perception impairment. While PCA is primarily known for its impact on visuospatial abilities, recent studies have documented language abnormalities in PCA patients. This study aims to delineate the nature and origin of language impairments in PCA, hypothesizing that language deficits reflect the visuospatial processing impairments of the disease.
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