Social media detoxification has emerged as a strategy for enhancing well-being. This study investigates the effects of social media detox on the psychological well-being and academic performance of students. A total of 361 medical students participated in this study. After obtaining formal consent, the participants completed a structured survey administered in a controlled setting. The survey included sections on demographics, patterns of social media use (e.g., time spent, platforms accessed, and primary motivations), and standardized psychological assessment scales. Data analysis was conducted using the Statistical Package for the Social Sciences version 26. Most students (75.9%) reported using multiple social media platforms, with 36% spending two to four hours daily on these platforms. A substantial proportion (38.2%) exhibited signs of addiction, and nearly half (49.9%) perceived social media as having a negative impact on their mental health. Students in the detox group reported significantly improved sleep quality, reduced anxiety and stress, and enhanced academic performance (p<0.001). Furthermore, most students in the detox group (n = 188, 71.21%) expressed an intention to participate in future detox periods. Strong positive correlations were observed between detox practice and its duration (cc = 0.668), sleep quality (cc = 0.580), perceived improved stress (cc = 0.736), overall mental health (cc = 0.593), and academic performance (cc = 0.766), all with p-values <0.001. Collectively, these findings indicate that temporary abstinence from social media is associated with significant improvements in the well-being of students. The results underscore social media detoxification as a promising approach to support mental health and academic success among students.
Competitive sports injuries have significant physiological and psychological consequences for athletes. While rehabilitation medicine effectively addresses the physical aspects of injury recovery, the psychological and emotional journey of injured athletes remains neglected. Thus, the current study addresses this gap by examining athletes' transforming belief systems and emotional experiences during injury rehabilitation. A qualitative research design grounded in grounded theory principles was conducted with professional athletes to understand how their beliefs toward rehabilitation evolved over time. Findings revealed a dynamic process of belief transformation consisting of seven interconnected stages, captured in the Rehabilitation Belief and Engagement Transformation (RBET) Model: (1) Pre-rehabilitation Beliefs and Practices, (2) Initial/Early Emotional and Mental Struggles, (3) Emergence ofMotivational Drivers, (4) Engagement in Rehabilitation, (5) Gradual Recovery and Readjustment, (6) Re-evaluation and Turning Point, and (7) Reintegration and Performance Adaptation. This seven-step model traces athletes' journey from initial skepticism and risk-taking behaviors to emotional struggles marked by distress, fear, and self-doubt. With the emergence of motivational drivers, athletes gradually engage in rehabilitation to navigate both physical and psychological challenges. Rehabilitation progress fosters emotional upheaval and cognitive shifts, leading to re-evaluation of beliefs and full adherence to recovery procedures. Ultimately, athletes reintegrate into sport with adjusted mindsets, strategic performance adaptations, and renewed identity. The RBET model contributes to a more holistic understanding of recovery, emphasizing that effective rehabilitation must address not only physiological healing but also the psychological and emotional transformations that athletes undergo.
Technological and digital developments in the current information age have brought profound transformations to organizations, especially business operations and structures. Digital organizational transformation may be more effectively managed through the combined influence of digital leadership and organizational intelligence. This study examines the impact of digital leadership and organizational intelligence on the digital organizational transformation process, addressing a clear gap in the existing literature, as few studies have empirically investigated these factors together. Data were collected via an online survey from 104 employees of a packaging company in Konya, Turkiye, using a convenience sampling method. The study was designed as an explanatory quantitative research, and the data were analyzed using SPSS version 27. To test the hypotheses, descriptive statistics, reliability analyses, normality tests, correlation, and multiple regression analyses were conducted. The findings indicate significant positive relationships among digital leadership, organizational intelligence, and digital organizational transformation, suggesting that organizations with higher levels of organizational intelligence adapt more rapidly to digital transformation processes. From a practical perspective, managers can enhance their digital leadership competencies through data-driven decision-making, agile management practices, and fostering a digital innovation culture. Furthermore, strengthening organizational intelligence through systematic knowledge-sharing, cross-functional collaboration, and continuous learning initiatives can accelerate and sustain digital organizational transformation efforts. These results provide empirical evidence for integrated strategies that combine leadership capabilities and organizational intelligence to support organizations' effective digital transformation.
This study investigates the macroeconomic determinants of registered international migration to Turkiye by employing panel data regression techniques at the NUTS-2 regional level for the period 2016-2022. The results reveal that per capita income, employment, and the share of industry, services, and construction sectors in total production have a statistically significant and positive impact on migration inflows, while inflation exhibits a negative effect. However, agricultural production proportion and export performance do not appear to significantly influence regional migrant preferences. Causality tests further support the existence of both bidirectional and unidirectional relationships between economic indicators and migration. The findings underscore the importance of economic motivations in shaping migrants' regional settlement choices, particularly for those who, after fleeing political instability in their home countries, choose to remain in Turkiye long-term. This research contributes to the limited body of macro-level empirical studies on migration in Turkiye and offers policy-relevant insights for developing regionally differentiated migration strategies.
The number of correctly produced words is the primary output variable n most verbal fluency tests. The examination of the number of clusters and cluster size achieves a more in-depth analyses of cognitive aspects and processes. We propose a scoring system for phonemic, semantic, and emotion word fluency tests in the Indonesian context. This study aimed to determine the underlying cognitive constructs of the participants, including the clustering and switching indices, using principal component analysis (PCA). A total of 150 participants were included, and the tests were administered online following a previously validated protocol. The three fluency tests loaded different factors, and the loading clustering patterns varied among the tests. Regression analyses confirmed that both cluster size and the number of switches predicted the number of correct words, although this relationship differed between semantic and phonemic tests. The number of switches and cluster size interrater reliability for all three tests exceeded 0.90. The cluster size and the number of switches were suitable additional variables for scoring Indonesian phonemic, emotion, and animal names as semantic word fluency tasks. This approach allows for a more in-depth analysis of cognitive styles in clients undergoing neuropsychological assessment.
