There is a certain relationship between alexithymia and depression, but further investigation is needed to explore their underlying mechanisms. The aims of this study was to explore the mediating role of internet addiction between alexithymia and depression and the moderating role of physical activity. A total of 594 valid responses were included in the analysis, with a mean age of 18.72 years (SD = 1.09). The sample comprised 250 males (42.09%) and 344 females (57.91%). These responses were utilized for descriptive analysis, correlation analysis, regression analysis, and the development of mediation and moderation models. Alexithymia showed positive correlations with depression and internet addiction, and physical activity was negatively correlated with internet addiction and depression. Internet addiction partially mediated the relationship between alexithymia and depression, while physical activity weakened the association between internet addiction and depression, acting as a moderator. Our findings suggest that excessive Internet engagement may mediate the relationship between alexithymia and depression as an emotional regulatory coping strategy, and that physical activity attenuates the predictive effect of Internet addiction on depression.
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http://dx.doi.org/10.1038/s41598-024-60326-w | 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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