Deconstructing therapeutic mechanisms in cancer support groups: do we express more emotion when we tell stories or talk directly to each other?

Studies indicate that story-telling and emotional expression may be important therapeutic mechanisms. This study examined how they work together over 1 year of supportive-expressive group therapy (SET). Participants were 41 women randomized to SET. We coded emotional expression and story types (story vs. non-story) at the initial session, 4, 8, and 12 months. Women engaged in more storytelling in their initial than later sessions. In later sessions, women expressed significantly more emotion, specifically compassion and high-arousal positive affect. Direct communication (non-story) allowed more positive but also more defensive expression as women supported and challenged each other. Greater hostility in non-story and greater constrained anger during story were associated with increasing depression. Greater high-arousal positive affect in non-story and greater primary negative affect in story were associated with increasing social network size. These results inform clinicians about cues they might use to improve the effectiveness of cancer support groups.

Detecting emotional expression in face-to-face and online breast cancer support groups.

Accurately detecting emotional expression in women with primary breast cancer participating in support groups may be important for therapists and researchers. In 2 small studies (N = 20 and N = 16), the authors examined whether video coding, human text coding, and automated text analysis provided consistent estimates of the level of emotional expression. In Study 1, the authors compared coding from videotapes and text transcripts of face-to-face groups. In Study 2, the authors examined transcripts of online synchronous groups. The authors found that human text coding significantly overestimated Positive Affect and underestimated Defensive/Hostile Affect compared with video coding. They found correlations were low for Positive Affect but moderate for negative affect between Linguistic Inquiry Word Count (LIWC) and video coding. The implications of utilizing text-only detection of emotion are discussed.