A mixed-methods investigation into the us versus them mentality in Facebook groups for chronic pain.

OBJECTIVE: Social media groups for chronic pain have become increasingly popular, but the effects of these groups are largely unknown, and members may be exposed to both helpful and harmful group processes. We created a Facebook intervention for adults with chronic pain and used a mixed-methods design to evaluate the effects of group membership on social support, including examining social dynamics that may benefit or impede existing pain care. METHOD: A total of 119 adults participated in either peer-led or professionally-guided Facebook groups for 1 month. Chronic pain support was assessed at baseline, post-intervention, and 1-month follow-up, and qualitative data were collected to explore social dynamics. RESULTS: Chronic pain support increased for participants in both group types from baseline to post-intervention and then decreased at follow-up. Thematic analysis of qualitative data (i.e., participant posts and comments in response to posts) revealed an overarching theme: us versus them-a dichotomizing view of the world that distinguishes people with pain (us) versus everyone else who does not understand pain (them). Participants discussed their tendency to withdraw socially due to feeling misunderstood regarding their pain. CONCLUSIONS: Facebook groups for chronic pain enhance perceptions of support among peers. Although generally beneficial, group cohesion may facilitate an us versus them mentality, resulting in isolation and potentially poorer outcomes. Future research should explore ways to maintain benefits of the us versus them mentality, while reducing its costs. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Analysis of transcriptional changes in the immune system associated with pubertal development in a longitudinal cohort of children with asthma.

Puberty is an important developmental period marked by hormonal, metabolic and immune changes. Puberty also marks a shift in sex differences in susceptibility to asthma. Yet, little is known about the gene expression changes in immune cells that occur during pubertal development. Here we assess pubertal development and leukocyte gene expression in a longitudinal cohort of 251 children with asthma. We identify substantial gene expression changes associated with age and pubertal development. Gene expression changes between pre- and post-menarcheal females suggest a shift from predominantly innate to adaptive immunity. We show that genetic effects on gene expression change dynamically during pubertal development. Gene expression changes during puberty are correlated with gene expression changes associated with asthma and may explain sex differences in prevalence. Our results show that molecular data used to study the genetics of early onset diseases should consider pubertal development as an important factor that modifies the transcriptome.

Facing Pain Together: A Randomized Controlled Trial of the Effects of Facebook Support Groups on Adults With Chronic Pain.

Despite the popularity and affordances of social media groups for people with chronic conditions, there have been few controlled tests of the effects of these groups. This randomized controlled superiority trial examined the effects of Facebook groups on pain-related outcomes and tested whether a professional-led group leads to greater effects than a support group alone. We randomly assigned 119 adults with chronic pain to one of two Facebook group conditions: a standard condition (n = 60) in which participants were instructed to offer mutual support, or a professional-led condition (n = 59) in which the investigators disseminated empirically-supported, socially-oriented psychological interventions. Four groups were run (2 standard, 2 professional-led), each lasting 4 weeks and containing approximately 30 participants. Measures were administered at baseline, post-intervention, and 1-month follow-up. Across conditions, participants improved significantly in primary outcomes (pain severity and interference; medium-large effects) and a secondary outcome (depressive symptoms; small-medium effect), and they retained their outcomes 1 month after the groups ended. The 2 conditions did not differ on improvements. Overall, this study supports the use of social media groups as an additional tool to improve chronic pain-related outcomes. Our findings suggest that professional intervention may not have added value in these groups and that peer support alone may be driving improvements. Alternatively, the psychosocial intervention components used in the current study might have been ineffective, or more therapist direction may be warranted. Future research should examine when and how such guidance could enhance outcomes. PERSPECTIVE: Findings from this randomized trial support the use of both standard and professional-led Facebook groups as an accessible tool to enhance the lives of adults with chronic pain. This article provides direction for how to improve social media groups to optimize outcomes and satisfaction for more users.

IMU-Based Deep Neural Networks: Prediction of Locomotor and Transition Intentions of an Osseointegrated Transfemoral Amputee.

This paper focuses on the design and comparison of different deep neural networks for the real-time prediction of locomotor and transition intentions of one osseointegrated transfemoral amputee using only data from inertial measurement units. The deep neural networks are based on convolutional neural networks, recurrent neural networks, and convolutional recurrent neural networks. The architectures' input are features in both the time domain and the time-frequency domain, which are derived from either one inertial measurement unit (placed above the prosthetic knee) or two inertial measurement units (placed above and below the prosthetic knee). The prediction of eight different locomotion modes (i.e., sitting, standing, level ground walking, stair ascent and descent, ramp ascent and descent, walking on uneven terrain) and the twenty-four transitions among them is investigated. The study shows that a recurrent neural network, realized with four layers of gated recurrent unit networks, achieves (with a 5-fold cross-validation) a mean F1 score of 84.78% and 86.50% using one inertial measurement unit, and 93.06% and 89.99% using two inertial measurement units, with or without sitting, respectively.