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Background Fitness to maintain an ideal body shape is becoming increasingly popular among college students. However, it also leads to many mental health issues. This study explores the pathways through which negative body image affects depression in college students. It also examines possible means of implementing depression interventions in college populations through the mediating roles of self-efficacy and physical activity, and the moderating role of social support. Method The present study employed a convenience sampling method to collect data from 600 university students using the Body Image Scale, Self-Efficacy Scale, Physical Activity Scale, General Social Support Scale and Depression Self-Rating Scale. Data analysis and structural equation modeling were conducted using SPSS, M-plus and R software. Result The result indicate that negative body image is positively correlated with depression. Self-efficacy and physical exercise play a chain mediating role between body image and depression. Additionally, social support moderates the effects of self-efficacy by predicting the pathway through which physical activity effects depression. Conclusion The study suggest that individuals with a negative body image are more prone to depression and that physical exercise can help alleviate their depressive symptoms. Self-efficacy is an important mediator, and social support moderates adherence to physical exercise. Therefore, attention should be paid to the mental health issues of college students with negative body images.
Background Fitness to maintain an ideal body shape is becoming increasingly popular among college students. However, it also leads to many mental health issues. This study explores the pathways through which negative body image affects depression in college students. It also examines possible means of implementing depression interventions in college populations through the mediating roles of self-efficacy and physical activity, and the moderating role of social support. Method The present study employed a convenience sampling method to collect data from 600 university students using the Body Image Scale, Self-Efficacy Scale, Physical Activity Scale, General Social Support Scale and Depression Self-Rating Scale. Data analysis and structural equation modeling were conducted using SPSS, M-plus and R software. Result The result indicate that negative body image is positively correlated with depression. Self-efficacy and physical exercise play a chain mediating role between body image and depression. Additionally, social support moderates the effects of self-efficacy by predicting the pathway through which physical activity effects depression. Conclusion The study suggest that individuals with a negative body image are more prone to depression and that physical exercise can help alleviate their depressive symptoms. Self-efficacy is an important mediator, and social support moderates adherence to physical exercise. Therefore, attention should be paid to the mental health issues of college students with negative body images.
BACKGROUND Young adults drop out of opioid use disorder treatment more often than older adults. Premature treatment drop-out substantially increases fatal overdose risk. Digital healthcare applications integrated within treatment can potentially engage young adults to self-monitor for drop-out risk factors. OBJECTIVE This pilot proof-of-concept study examined the feasibility, acceptability, and utility of a patient-centered digital healthcare technology, AWARE (Awareness and Response to the Environment), designed to bring attention to treatment drop-out risk factors. METHODS In this formative research, a convenience sample of young adults (n=3) in methadone treatment, their counselors (n=3), and clinic leadership (n=2) were recruited from an opioid treatment program and interviewed to obtain feedback as AWARE was developed. In 8 semi-structured interviews, perspectives regarding barriers to treatment for young adults and AWARE utility were obtained. Concurrently, three dyads of young adults (n=3) and counselors (n=3) piloted the intervention daily for 4 weeks. RESULTS Young adults and counselors found AWARE relevant to their treatment experience and acceptable to complete over 4 weeks. The most frequently reported daily stressors were ‘the health and well-being of a family member,’ ‘being organized,’ and ‘having too many things to do without help.’ In qualitative interviews, counselors and clinic leadership reported that AWARE presented a relevant, new way to engage young adults daily, in addition to weekly counseling sessions. Young adults felt that AWARE offered a type of social support they lacked, like ‘someone checking in on them’. CONCLUSIONS Overall, young adult and counselor participants were able to engage in AWARE in a busy clinic environment, and participants and clinic leadership found it valuable. Further research is needed to refine the measures and methods of AWARE and evaluate its effectiveness. CLINICALTRIAL N/A
Digital pathology has emerged as a revolutionary field, transforming traditional diagnostic practices by integrating advanced imaging technologies, computational tools, and artificial intelligence (AI). Adopting digital slides over conventional glass slides enables high-resolution imaging, facilitating remote consultations, second opinions, and telepathology. The digitalization of pathology laboratories enhances workflow efficiency and allows for large-scale data storage, retrieval, and analysis, paving the way for developing robust diagnostic algorithms. One of the most transformative aspects of digital pathology is its synergy with AI and machine learning (ML). These technologies have enabled the automation of repetitive processes, including diseased feature detection, biomarker quantification, and tissue segmentation. This has decreased inter-observer variability and increased diagnostic accuracy. AI-driven algorithms are particularly beneficial in complex cases, assisting pathologists in detecting subtle patterns that might be missed through manual examination. Furthermore, digital pathology plays a critical role in personalized medicine by enabling the precise characterization of tumors, which leads to targeted therapy decisions. Integrating digital pathology with genomics and other omics data holds promise for a more holistic understanding of diseases, driving innovation in diagnostics and treatment. However, the transition to digital pathology is challenging. Issues such as data standardization, regulatory compliance, and the need for robust IT infrastructure must be addressed to realize its full potential. This review provides a detailed examination of these advances, their clinical applications, and the challenges faced in the widespread adoption of digital pathology. As the field continues to evolve, it is poised to play a pivotal role in shaping the future of diagnostics, offering new possibilities for improving patient outcomes. This comprehensive review explores the significant advances in digital pathology, highlighting its impact on diagnostics, research, and patient care.
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