Early change is an increasing area of investigation in psychotherapy research. In this study, we analyzed patterns of early change in interpersonal problems and their relationship to nonverbal synchrony and multiple outcome measures for the first time. We used growth mixture modeling to identify different latent classes of early change in interpersonal problems with 212 patients who underwent cognitive-behavioral treatment including interpersonal and emotion-focused elements. Furthermore, videotaped sessions were analyzed using motion energy analysis, providing values for the calculation of nonverbal synchrony to predict early change in interpersonal problems. The relationship between early change patterns and symptoms as well as overall change in interpersonal problems was also investigated. Three latent subgroups were identified: 1 class with slow improvement (n = 145), 1 class with fast improvement (n = 12), and 1 early deterioration class (n = 55). Lower levels of early nonverbal synchrony were significantly related to fast improvement in interpersonal change patterns. Furthermore, such patterns predicted treatment outcome in symptoms and interpersonal problems. The results suggest that nonverbal synchrony is associated with early change patterns in interpersonal problems, which are also predictive of treatment outcome. Limitations of the applied methods as well as possible applications in routine care are discussed. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
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J Assist Reprod Genet
January 2025
Department of Veterinary Medicine, University of Sassari, Via Vienna 2, Sassari, Italy.
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Geroscience
January 2025
Psychology, School of Social Sciences, Nanyang Technological University, 48 Nanyang Avenue S639818, Singapore, Singapore.
In Alzheimer's disease (AD), the accumulation of neuropathological markers such as amyloid-β plaques, neurofibrillary tangles, and cortical neurodegeneration occurs over many years before overt manifestation of cognitive impairment. There is thus a need for neuropsychological markers that are indicative of pathological changes in the early stages of the disease. Intra-individual cognitive variability (IICV), defined as the variation of an individual's performance across cognitive domains, is a promising neuropsychological marker measuring heterogeneous changes in cognition that may reflect these early pathological changes.
View Article and Find Full Text PDFJ Prev (2022)
January 2025
Department of Health and Prevention, Institute of Psychology, University of Greifswald, Robert-Blum-Str. 13, 17489, Greifswald, Germany.
The digitalization of society increasingly blurs boundaries between analog and digital worlds, offering opportunities such as telemedicine and global connectivity through digital platforms. However, it also presents risks, including cyberbullying, addiction potential, harmful content, misinformation, and privacy concerns from data breaches and surveillance technologies. Social media, with its global reach, amplifies both opportunities for positive engagement and the responsibility to navigate largely unregulated content.
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Department of Pediatrics, University of California San Diego, 3020 Children's Way MC 5137, San Diego, CA, 92123, USA.
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Department of Obstetrics and Gynecology, Division of Perinatology, Ankara Etlik City Hospital, Ankara, Turkey.
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