USING PSYCHOLINGUISTICS IN DEVELOPING THERAPEUTIC METHODS FOR OVERCOMING ANXIETY STATES.

PURPOSE: The study aimed to identify the relationship between speech characteristics and anxiety levels to identify psycholinguistic markers that can serve as diagnostic tools in psychotherapy practice.

METHODS

A sample of 160 participants was stratified by anxiety level (high, medium, low) using standardized methods (STAI, BAI). Quantitative analysis showed significant differences in the speech of the groups: participants with high anxiety used shorter sentences, were characterized by a lower level of lexical diversity, more frequent use of negatively colored vocabulary and the pronoun "I", and also used future tense forms less often.

RESULTS

Correlation and regression analyses confirmed the close relationship of these speech indicators with anxiety levels, which explained up to 48% of the variation on the BAI scale. The results suggest that speech analysis can be a reliable indicator of anxiety levels and can be integrated into psychotherapy practice as an additional diagnostic tool. The resulting speech profile of a highly anxious individual-negative vocabulary, self-referentiality, cognitive simplification, and low future orientation-can be used to individualize psychotherapeutic interventions and monitor therapy dynamics.

CONCLUSIONS

Practical applications include regular speech analysis, working with written texts, and integrating automated analysis systems into clinical and online environments. A promising direction is to expand the sample and test the cross-cultural validity of the resulting model.