Cyberpsychology, behavior and social networking最新文献

Aim: Identify and systematically review cohort studies examining the association between cyberbullying (CB) and suicidal ideation, attempted suicide, self-harm, and nonsuicidal self-injury (NSSI). Methods: Systematic literature review following PRISMA guidelines. Searches for relevant literature were conducted in Scopus, Web of Science, PubMed, PsyINFO, CINAHL, Embase, and Cochrane up until July 2023. Cohort studies were included that provided information regarding the association between CB and different dimensions pertaining to self-injurious thoughts and behaviors (SITB) separately. Gathered information included data on study characteristics, sample characteristics, prevalence, and associations between CB and variables pertaining to SITB. Findings were synthesized, and grouping studies as a function of the outcome variable was analyzed. Results: A total of 19 studies were included. Suicidal ideation was analyzed in 11 studies, with the majority (n = 8) reporting statistically significant positive associations (aOR = 1.88 [1.08, 3.29], β = 0.08 to 0.47). Only a single study conducted independent analysis of attempted suicide, finding a statistically significant association (aOR 1.88 [1.08, 3.29]). Outcomes regarding the self-harm variable were equivocal, with only two out of five studies finding a statistically significant association and one of these, which conducted a gender differentiated analysis, only finding a significant association in females. Studies that considered the NSSI dimension were also inconclusive, with only a limited number of studies (n = 5) producing contradictory outcomes. Conclusion: There is a need to continue exploring the relationship between CB and different dimensions within the spectrum of SITB through longitudinal studies. It is recommended that analyses adopt a new perspective in which short-term follow-up is prioritized or individualized follow-up periods are considered, given the rapidly changing nature of suicidal tendencies. It would be interesting to analyze the frequency, persistence, or severity of CB events and broaden research to include all age ranges. Special attention should also be given to potential gender differences and possible mediators or moderators.

Prior research has investigated the link between social media use (SMU) and negative well-being. However, the connection with positive well-being has not been extensively studied, leading to a situation where there are inconsistent and inconclusive findings. This study fills this gap by examining the correlation between excessive and problematic SMU and subjective as well as psychological well-being (PWB). We conducted a systematic search across databases such as PubMed, Scopus, and Web of Science, and gray literature sources such as Research Gate and ProQuest, yielding 51 relevant studies for meta-analysis, encompassing a sample size of 680,506 individuals. Employing the Newcastle-Ottawa Scale, we assessed study quality, whereas statistical analysis was executed using R Studio. Excessive SMU showed no significant association with subjective (ES = 0.003, 95% confidence interval [95% CI]: -0.08, 0.09; p = 0.94, I² = 95.8%, k =16) and PWB (ES = 0.16, 95% CI: -0.15, 0.45; p = 0.26, I² = 98%, k = 7). Conversely, problematic SMU showed a negative correlation with subjective (ES = -0.14, 95% CI: -0.20, -0.09; p = 0.00, I² = 93.3%, k = 25) and PWB (ES = -0.19, 95% CI: -0.31, -0.06; p = 0.01, I² = 95%, k = 5), with two outliers removed. No publication bias was detected. Subgroup analysis highlighted effects of "sampling method" (p < 0.05), "study quality" (p < 0.05), "developmental status" (p < 0.05), "forms of social media" (p < 0.05), and "type of population" (p < 0.01) on the estimated pooled effect sizes. Although univariate meta-regression showed the effects of "% of Internet users" (p < 0.05) and "male%" (p < 0.05), and multivariate meta-regression showed the combined effect of moderators only on the relationship between problematic SMU and subjective well-being.

Older adults, particularly impacted by the pandemic, are anticipated to face considerable challenges to their cognitive and psychological health. Various cognitive training methods have been proposed to improve their cognitive decline through regular practice. Immersive virtual reality (IVR) offers a promising avenue to bolster cognitive and mental health care accessibility for older adults and has shown potential in augmenting traditional cognitive training methods. This systematic review aims to assess the efficacy of IVR-based cognitive training on improving cognitive impairments and depressive symptoms among older adults, irrespective of their level of cognitive decline. Systematic searches were conducted across MEDLINE-PubMed, EMBASE, and Web of Science databases from inception to December 2022. Only peer-reviewed articles reporting results from randomized controlled trials and pilot studies, focusing on the effects of VR-based cognitive training on adults aged 55 or older, were deemed eligible. Using the Cochrane Handbook for Systematic Reviews of Interventions, the risk of bias was appraised for each selected study. Out of 3,835 studies identified, 9 met the inclusion criteria. The qualitative analyses concluded that IVR cognitive training interventions enhanced certain cognitive functions and well-being among older adults, notably those with mild cognitive impairments. These interventions were particularly effective in boosting memory, visuospatial abilities, and measures related to depressive symptoms and overall well-being. However, enhancements were less pronounced for executive functions, attention, and global cognition. Based on these findings, we propose a set of tailored, inclusive, and evidence-based recommendations to adapt emerging technologies to better accommodate the needs of older adults.

This study examines digital health challenges among end-stage kidney disease (ESKD) patients, a population characterized by older age, lower socioeconomic status, and limited access to modern technologies. Drawing from the Mere Exposure Effect, the Technology Acceptance Model, and insights from doctor-patient communication literature, our study implemented a month-long intervention across three distinct groups. The Digital Media Exposure Group watched doctor-recommended videos on YouTube using a tablet PC twice weekly for four weeks. The Digital Media Exposure with Doctor-Patient Communication Group engaged in physician-led discussions about the viewed content during their medical visits in addition to the activities in the first group. The Control Group received printed medical information that mirrored the content of the videos. Participants in this study, all of whom were diagnosed with ESKD, were recruited from a university hospital in South Korea (n = 88, M_age = 64.8). Their perceptions, attitudes, and behavioral intentions regarding digital health care were measured and compared between groups. The results unveiled significant group differences [Wilk's Λ = 0.829, F(8, 164) = 2.02, p = 0.047, partial η² = 0.090], with variations in attitudes, perceived ease of use, and intentions among groups, and effect sizes ranging from 0.069 to 0.096.These findings underscore the importance of tailored interventions to address digital health disparities, particularly among underserved demographic groups. Strategies that prioritize user-friendly interfaces and clear communication between doctors and patients are advocated to promote digital health engagement, ensuring equitable access and improved outcomes for patients with chronic disease.

Virtual reality (VR) has emerged as a nonpharmacological adjuvant to manage acute and chronic pain symptoms. The goal of this survey study was to determine the acceptability of VR among chronic pain participants hailing from distressed and prosperous neighborhoods in the state of Maryland. We hypothesized that pain severity and interference vary in groups experiencing health disparities, potentially influencing VR's acceptability. From March 11 to March 15, 2020, we surveyed a cohort of clinically phenotyped participants suffering from chronic orofacial pain. Participants were asked to express their willingness to participate in a longitudinal VR study and their expectation of pain relief from using VR. Seventy out of 350 participants with chronic pain completed the survey (response rate: 20%). There was no difference in the likelihood of responding to the survey based on their neighborhood distress. Among survey respondents and nonrespondents, similar proportions of participants were from distressed neighborhoods. Among the respondents, 63 (90%) and 59 (84.3%) were willing to participate and expected to experience pain relief from the VR intervention, respectively. Age, sex, race, neighborhood distress, severity of pain, and prior VR experience did not influence willingness to participate in the VR trial or the expectations of VR-induced improvement. These findings suggest that VR as an adjuvant intervention is potentially accepted by chronic pain participants, irrespective of neighborhood-level social determinants of health.

Deficits in executive functions (EF) are strongly related to real-life functioning and negative symptoms (NS) in schizophrenia. Recently, virtual reality has enabled more ecologically valid approaches to assess EF in simulated "real-life" scenarios among which the virtual cooking task (VCT) has gained attention. However, the clinical implications of the VCT in schizophrenia have not been investigated exhaustively. In this study, clinically stable individuals with schizophrenia (n = 38) and healthy controls (n = 42) completed a novel VCT and a set of computerized standard EF tools (CST) to primarily investigate concurrent and discriminant validity. In addition, the study explored links between EF assessments, functioning, and NS while controlling for antipsychotic intake, clinical stability, and age. This VCT consisted of four tasks with increasing difficulty and time constraints. The most relevant findings indicate that (1) the VCT showed moderate to strong correlations with CST, (2) the VCT discriminated EF performance between both the groups, (3) the VCT predicted interpersonal functioning, and (4) the VCT predicted NS in greater extent than CST. Accordingly, the findings give support to the concurrent and discriminant validity of the VCT to assess EF and indicate its value to deepen the study of collateral functional deficits and NS in schizophrenia.

During the COVID-19 pandemic, the extensive lockdown measures implemented for disease mitigation triggered a surge in round-the-clock social media use, giving rise to widespread concerns regarding its impact on sleep health. This meta-analysis examined the association between social media use and sleep disturbance during the pandemic, along with potential moderators. The dataset included 43 independent samples comprising 68,247 residents of 21 countries across 7 world regions. The three-level mixed-effects meta-analysis revealed a weak, positive overall effect size (r = 0.1296, 95% confidence interval: 0.0764-0.1828, k = 90). The magnitude of the effect size varied by the type of social media use: compulsive use exhibited a moderately strong effect size, whereas information-focused use showed marginal significance. The effect size was more pronounced in countries imposing stricter (vs. less strict) lockdown measures. Lockdown status also moderated this association, with a marginally significant effect size observed during lockdowns but a significant effect size after lockdowns. For demographics, samples involving emerging adults demonstrated moderately strong effect sizes, whereas those involving the general population had modest effect sizes. Notably, the interaction between the type of social media use and lockdown status was significant. Specifically, the positive association with information-focused use was significant only during lockdowns, whereas that with general use was significant after, but not during, lockdowns. However, compulsive use showed a moderately strong effect size both during and after lockdowns. These findings underscored the importance of considering multiple factors-such as the type of social media use, context, and demographics-when studying social media use and sleep health.