Linguistic analysis of Latinx patients' responses to a text messaging adjunct during cognitive behavioral therapy for depression.

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Publisher: Elsevier Science Publishers
Document Type: Report; Brief article
Length: 395 words

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Keywords CBT; Depression; Ecological momentary assessments; Latinxs; Sociocultural factors Highlights * We examined sociocultural and CBT treatment elements in relation to changes in mood. * 52 patients received daily automated text-messages during treatment. * Word use analysis was conducted on ecological momentary assessments via text-messages. * Behavioral activation and social support predicted outcome for Latinos in CBT. * Text-messaging has the potential to uncover dynamic patterns of symptom change. Abstract Cognitive behavioral therapy (CBT) is efficacious to treat depression, however more research is needed to understand its functions among Latinxs. This study analyzed qualitative responses that were paired with a mood rating (1--9 scale) from daily ecological momentary assessments via text-messaging of 52 low-income, Spanish-speaking patients to assess the relationship between word use and changes in mood during group CBT. Based on previous research, we chose 11 linguistic dimensions from the Linguistic Inquiry and Word Count text analysis software that conceptually related to core CBT treatment elements and sociocultural factors of depression in Latinxs. Results showed that the use of words from the categories of Friends, Religion, Positive Emotions, and Leisure (proxy for behavioral activation) were significantly associated with a significant increase in mood. The use of Negative Emotions and Health words were significantly associated with a significant decrease in mood. Post-hoc analysis revealed that Certainty (proxy for cognitive inflexibility) words were related to a significant decrease in mood when Negative Emotional words were present. Findings contribute to our understanding of the role of sociocultural factors and core CBT elements in changes in mood among Latinxs. Lastly, this paper demonstrates the potential for analyzing language content during a digital health intervention to better understand user experiences. CBT, cognitive behavioral therapy; EMAs, ecological momentary assessments; GCBT, group cognitive behavioral therapy Author Affiliation: (a) School of Social Welfare, University of California, Berkeley, United States (b) Department of Psychological Science, University of California, Irvine, United States (c) Instituto de Investigación en Ciencias de la Computación ICC, CONICET-UBA, Argentina (d) Department of Psychiatry and Behavioral Sciences, University of San Francisco at Zuckerberg San Francisco General Hospital, United States * Corresponding author. 120 Haviland Hall, MC7400, School of Social Welfare, University of California, Berkeley, CA, 94720, United States. Article History: Received 12 May 2021; Revised 17 December 2021; Accepted 27 December 2021 Byline: Rosa Hernandez-Ramos (a,b), Edgar Altszyler (c), Caroline A. Figueroa (a), Patricia Avila-Garcia (a), Adrian Aguilera [aguila@berkeley.edu] (a,d,*)

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Gale Document Number: GALE|A692744299