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Although social anxiety remains prevalent, conventional exposure therapy faces limitations such as limited accessibility, high cost, and low ecological validity. These barriers highlight the need for alternative, scalable methods that can effectively simulate social evaluative contexts.
Objective:
This study aims to evaluate the anxiety-inducing effects of videoconferencing exposure, measured through heart rate variability (HRV), using a fully online-based methodology.
Methods:
A total of 31 participants who reported social anxiety were recruited online and engaged in a simulated videoconference task, where they interacted with multiple audience members’ emotional faces on a 3 × 3 split screen. Their video recordings were analysed using imaging photoplethysmography to obtain HRV data. Baseline anxiety levels were assessed using validated self-report questionnaires, including the State Anxiety Scale (STAI-X1), Trait Anxiety Scale (STAI-X2), Social Interaction Anxiety Scale, and Social Phobia Scale.
Results:
Pearson correlation analysis revealed that STAI-X1 scores negatively correlated with high-frequency normalised units (HFnu) changes and positively correlated with low-frequency high-frequency (LF–HF) ratio and low-frequency normalised units (LFnu) changes. Similar patterns were observed for STAI-X2. These findings suggest that higher levels of trait and state anxiety are associated with greater reductions in parasympathetic activity and increased sympathetic activation during online videoconferencing.
Conclusions:
This study underscores the clinical potential of online videoconferencing as a scalable and accessible exposure therapy for the digital era, eliminating spatial and logistical constraints associated with traditional in-person exposure therapy.
Complement factor H (CFH) plays a key role in regulating the cascade of the alternative pathway of the complement system. Dysregulation of CFH may be involved in the pathophysiology of various inflammation-mediated diseases including neuropsychiatric illnesses. This study aimed to investigate this relationship by examining determining CFH levels in elderly individuals with and without depression.
Methods:
A total of 152 elderly individuals (major depressive disorder (MDD) group, n = 76; comparison sample, n = 76) were selected from the Ansan Geriatric study. The plasma level of CFH was measured. MDD was diagnosed with the Mini-International Neuropsychiatric Interview as per DSM-IV criteria. The severity of depression was evaluated with the geriatric depression scale (GDS). Mean CFH levels were compared using the Mann–Whitney U test. After adjusting for possible confounding factors including age, sex, marital status, education, alcohol use, hemoglobin levels, and the Korean version of the Mini-Mental State Examination (MMSE-KC), a multiple regression analysis was conducted. The GDS score and plasma level of CFH were analyzed using Spearman's correlation.
Results:
Plasma CFH level was significantly higher in individuals with MDD than in the comparison sample (289.51 ± 21.16 vs. 339.67 ± 66.23, p < 0.001). In a regression model adjusted for possible confounders, CFH was significantly associated with geriatric depression (p < 0.001). CFH levels were not significantly related to GDS scores in the depressed group.
Conclusion:
This study revealed an association between high plasma levels of CFH and geriatric depression, thereby suggesting the alternative pathway of the complement system contributing to the development of geriatric depression.
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