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Objective: This study aimed to examine the complex associations between Internet addiction, sleep disturbances, and disordered eating behaviors. Methods: This cross-sectional study included 646 students from 17 high schools in Edirne, Türkiye between December 2023 and May 2024. A face-to-face questionnaire was administered to assess demographic characteristics, Internet addiction (YIAT), sleep quality (PSQI), and eating behavior (TFEQ-R21). Results: In total, 644 students completed the study. The prevalence of Internet addiction among adolescents was 16.3%, with a similar prevalence among male and female adolescents. The prevalence of poor sleep quality among adolescents was 6.4%, and this trend was more pronounced in male adolescents, with an incidence of 13.0%. A weak positive correlation was observed between Internet addiction and disordered eating behavior. Additionally, a moderate positive correlation was observed between poor sleep quality and disordered eating behavior. Gender, maternal education level, Internet addiction, and poor sleep quality were significant predictors of eating disorders in adolescents. Conclusion: The findings of our study are of significant value in providing insights into the development of programs designed to prevent undesired eating behaviors [ABSTRACT FROM AUTHOR]

Disordered eating is a major health epidemic that occurs at disproportionate rates among young adults and for which gender plays a major role in symptom presentation. Broadband psychological instruments have historically not included disordered eating as a core scale construct. The recent release of the Minnesota Multiphasic Personality Inventory-3 (MMPI-3) offers an opportunity to address this shortcoming through the newly developed Eating Concerns Scale (EAT) for which the existing literature is promising but limited. This study expands research on EAT by investigating its validity and comparing findings across gender. In 345 college students (102 men, 243 women), we examined gender differences between men and women in the EAT scale's structure, item endorsement rates, mean scores, and correlations with measures of body image and eating pathology. Differences emerged in item endorsement rate, scale score elevation rate, and correlation magnitudes. Broadly, findings further support EAT's use in detecting eating pathology and highlight ways in which the EAT scale may not effectively capture masculine expressions of eating pathology, namely binging and purging behaviors. To assess eating pathology more comprehensively, clinicians and researchers should consider including assessments of eating pathology inclusive of masculine eating patterns. Limitations and future research directions are also discussed. [ABSTRACT FROM AUTHOR]

Dissociation in anorexia nervosa (AN) is common (literature reported 29% of dissociative disorders in eating disorders) and higher in patients with binge-purging AN (BP-AN) than in those with restricter AN (R-AN). However, the distinction between somatoform (SomD) and psychoform dissociation (PsyD) is understudied. We aimed to assess the differences in PsyD and SomD, eating-related, general, and body-related psychopathology, and childhood trauma between subtypes of AN. Then, we attempted to describe a subgroup of patients with AN with marked SomD comparing them to patients without SomD, also controlling the results for PsyD and AN subtypes. Inpatients with AN (n = 111; 109 women and 2 men) completed self-reported questionnaires evaluating dissociation, eating-related, body-related, and general psychopathology, and childhood abuses. Patients with BP-AN reported higher SomD and PsyD and a more severe clinical picture than those with R-AN. The SomD-group (n = 41) showed higher eating concerns, trait-anxiety, body-related variables, and sexual/physical abuse compared to the no-SomD group (n = 70), independently of AN subtype and PsyD symptoms. Results described particular features of patients with AN and SomD. Data, clinically, suggest a careful assessment, for both SomD and PsyD, especially when a history of bodily-impacting trauma is present, potentially fostering dissociation-informed interventions. [ABSTRACT FROM AUTHOR]

Bridges constitute an important part of the infrastructure and are subjected to damage and deterioration of materials and support conditions, as well as exposure to adverse environmental conditions. Continuous or repeated monitoring of structural responses may add important information for decision-making regarding their maintenance, repair and reinforcement. The use of these data, in conjunction with techniques of structural reliability for the treatment of the uncertainties, allows a better understanding of the structural behaviour and integrity. Modern Information and Communication Technologies can greatly contribute to the improvement of the maintenance capacity and, consequently, to the reliability of the assets and to their operational availability. New wireless communication technologies, such as 5 G networks, are considered as the enabling technologies of the digital transformation, integrated with the concept of the Internet of Things. High connectivity capacity and intensive automation enable, for example, changes in inspection paradigms and asset maintenance, by transferring the product focus to service platforms, bringing gains to productivity, comfort, operational safety and costs. New predictive maintenance approaches, which make use of a large amount of data available, can improve the efficiency of maintenance processes, producing more accurate and reliable anticipated diagnostics. The Digital Twins incorporate all these tools and allow a real-time view of the evolution of the asset behaviour. This concept applied to a railway bridge is presented and discussed in detail in this paper. [ABSTRACT FROM AUTHOR]