The COVID-19 pandemic has escalated concerns regarding internet addiction. This study investigated the impact of an online photograph intervention on internet addiction and identified its effectiveness mechanisms. Individuals diagnosed with internet addiction (internet addiction test score > 36, M = 22.85, 78.6% women) were randomly allocated to either the intervention (n = 64) or control (n = 81) groups. For 10 days, the intervention group was tasked with photographing "things that make you feel a sense of control in life" and writing 100-word descriptions explaining the reason for the sense of control elicited by the image. Meanwhile, the control group participated only in the assessments. Assessments were conducted before the intervention, immediately afterward and 7 days later. A significant interaction between group and time was observed, with the intervention group showing a notable reduction in internet addiction and an increase in sense of control. The sense of control at post-test significantly mediated the intervention's effect on reducing internet addiction at follow-up, but only among individuals with high perceived social support. The findings indicate that online photography interventions can effectively diminish internet addiction, with a sense of control acting as a potent mechanism for intervention, particularly in individuals with substantial perceived social support.
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http://dx.doi.org/10.1002/ijop.13138 | DOI Listing |
JMIR Res Protoc
January 2025
McMaster University, Hamilton, ON, Canada.
Background: Research has shown that engaging in a range of healthy lifestyles or behavioral factors can help reduce the risk of developing dementia. Improved knowledge of modifiable risk factors for dementia may help engage people to reduce their risk, with beneficial impacts on individual and public health. Moreover, many guidelines emphasize the importance of providing education and web-based resources for dementia prevention.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
NOCD, Inc, Chicago, IL, United States.
Background: An effective primary treatment for obsessive-compulsive disorder (OCD) in children and adolescents as well as adults is exposure and response prevention (ERP), a form of intervention in the context of cognitive-behavioral therapy. Despite strong evidence supporting the efficacy and effectiveness of ERP from studies in research and real-world settings, its clinical use remains limited. This underuse is often attributed to access barriers such as the scarcity of properly trained therapists, geographical constraints, and costs.
View Article and Find Full Text PDFF1000Res
January 2025
Department of Community Medicine, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education,, Karnataka, Manipal, 576104, India.
Background: Better affordability of data plans and an increase in "budget" smartphones have resulted in an exponential rise in internet and smartphone users. The ease of access to sexually explicit material (SEM) coupled with adolescents' impulsivity makes them prone to excessive SEM exposure and may affect the development of sexuality via the perceived realism of such content. This study was done to study the influence between problematic smartphone usage (PSU) and sexuality development among late adolescent boys.
View Article and Find Full Text PDFHeliyon
January 2025
Department of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg Center for Health Economics, Martinistr. 52, 20246, Hamburg, Germany.
Aim: Transgender people face many unique challenges. Thus, some of them report excessive use of social media. Our aim was to identify the frequency of social media addiction and to investigate the factors associated with problematic social networking sites use exclusively amongst transgender adults in times of the Covid-19 pandemic.
View Article and Find Full Text PDFJ Biopharm Stat
January 2025
Department of Biostatistics, School of Medicine, Yokohama City University, Yokohama, Japan.
In the field of medicine, evaluating the diagnostic performance of new diagnostic methods can be challenging, especially in the absence of a gold standard. This study proposes a methodology for assessing the performance of diagnostic tests by estimating the posterior distribution of the score using latent class analysis, without relying on a gold standard. The proposed method utilizes Markov Chain Monte Carlo sampling to estimate the posterior distribution of the score, enabling a comprehensive evaluation of diagnostic test methods.
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