ArticleSchizophrenia bulletin open2022
High-Order Language Processing Difficulties in Patients With Schizophrenia: Cross-linguistic and Cross-cultural Results From the Hindi Version of a Newly Developed Language Test.
Article in Schizophrenia bulletin open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Objective: To detect subtle linguistic performance deficits in patients with schizophrenia, a test battery was developed in Hindi vernacular language. Method: It was a replication study of observational, analytical, and case-control design. Total of 86 participants, namely 43 patients with schizophrenia and 43 controls, were recruited into the study. The patients were evaluated by using PANSS (positive and negative symptoms scale for schizophrenia) for recruitment into the study. Participants from the general population were evaluated with GHQ-12 (General Health Questionnaire-12) to be found to fit as healthy controls. Subsequently, the linguistic performance of patients (on HLFT: Hindi linguistic function test) was compared with that of controls. The HLFT battery was designed, containing 3 blocks by using antonyms, synonyms, homonyms, hyperonyms, hyponyms, distractors, and adages. Result: Patients scored significantly less than that of controls in identifying antonyms, distractors, and hyponyms while in identifying homonyms they scored significantly more than that of controls. At block I (antonyms) score of 15.5; at homonym score of 5.5; at hyponym (as in hyponym plus distractor combination) score of 2.5, the sensitivity and specificity for using them as a cutoff to screen for schizophrenia are 60.5% and 67.4%; 86% and 41.9%; 81.4% and 46.5%, respectively. Conclusion: Ambiguity processing of taxonomic representation such as antonymia, homonymia, hypo-/hyperonymia, synonymia, and also understanding of adages might be significantly impaired in patients with schizophrenia. The HLFT battery could be used as a quick and sensitive instrument to detect and quantify the linguistic difficulties of patients with schizophrenia.
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