FBU GCRIS Standard Database (Fenerbahçe University)
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The Moderating Role of Gender in Perceived Discrimination Levels and Political Participation of Turkish Women
No full textThis study explores the relationship between women's political participation, perceived discrimination, and gender dynamics in Turkey. Political participation embodies an individual's aspiration to influence societal transformation and contribute to decision-making processes that shape communities. However, women's engagement in these processes has long been hindered by deeply rooted societal norms and systemic barriers. The primary objective of this research is to examine how perceived discrimination impacts women's political participation and to assess whether gender perceptions moderate this relationship. Data were collected from 313 female university students aged 18-58, utilizing the Political Participation Scale, Gender Perception Scale, and Perceived Discrimination Index. The results demonstrated a significant positive correlation between perceived discrimination and political participation, with gender perception acting as a key moderator. Women with stronger gender equality beliefs were more likely to recognize discrimination and engage in political activities. These findings emphasize the critical role of cultural, educational, and institutional strategies in enhancing women's political visibility and addressing systemic barriers. The study provides a robust foundation for developing egalitarian policies to promote women's active participation in politics, fostering a more inclusive democratic landscape.Emerging Sources Citation Inde
Protective Effect of Artichoke (Cynara scolymus L.) Leaf and Receptaculum Extracts Against Hepatic Encephalopathy in Bile Duct Ligated Rats
No full textHepatic encephalopathy (HE), complication of liver dysfunction, leads to neurocognitive impairments. Artichoke (Cynara scolymus L.) has been traditionally used for its antioxidant, anti-inflammatory and hepatoprotective properties. This study evaluates artichoke leaf and receptaculum extracts in cholestasis and HE in a rat model. Wistar rats were divided into 6 groups: sham-control, bile duct ligation (BDL), and BDL with low/high-dose leaf or receptaculum extracts. After BDL, physiological saline and extracts (250/500 mg/kg) were administered orally for 28 days. Cognitive activity was evaluated using Morris water maze and novel object recognition tests on day 28. Artichoke extract regulated liver enzymes and bilirubin at high-doses and significantly increased antioxidant enzyme activities reduced by BDL. Elevated 8-Hydroxyguanosine (8-OHdG) levels decreased in liver and brain tissues. Similarly, artichoke extracts reduced cytokine and hydroxyproline (HP) levels elevated by cholestasis. Following BDL, Na+/K+-ATPase levels in brain and liver tissues decreased, while artichoke extract reversed this. Artichoke, particularly high-dose receptaculum, improved impaired performance and increased time in the target quadrant after BDL. Both artichoke leaf and receptaculum extracts improved recognition. Artichoke treatments, especially high-dose receptaculum, reduced hepatic and neuronal damage and improved histological appearance. These findings highlight the therapeutic potential of artichoke extracts for liver fibrosis and related neurocognitive disorders
Kettlebell Training for Musculoskeletal Rehabilitation and Injury Prevention: A Mini Review
No full textPrevalence of Fecal Incontinence After Childbirth in Turkey: Systematic Review and Meta-Analysis
No full textOzdemir, Iclal Ilknur/0000-0001-7769-415X;BackgroundFecal incontinence (FI), defined as the reduced or lost ability to control the elimination of solid or liquid stool and gas due to anal sphincter dysfunction, is mostly caused by childbirth.AimThis study aimed to determine the prevalence of postpartum fecal incontinence in Turkey.MethodsThis systematic review and meta-analysis were conducted between December 1 and December 31, 2024, considering inclusion and exclusion criteria. The literature search was performed using PubMed, Science Direct, Medline, Ovid, Ebsco CINAHL Plus, and Cochrane Library databases. The methodological quality of the included studies was assessed using the checklist developed by the Joanna Briggs Institute.ResultsA total of six studies were included in this review. The combined results indicated that the prevalence of postpartum fecal incontinence in Turkey is approximately 3%. Women who delivered by cesarean section had significantly lower rates of FI than those who delivered vaginally (z = 3.10, p = 0.002, CI: 0.39 [0.21, 0.71]). Additionally, the combined results of the studies showed no significant relationship between fecal incontinence and menopausal status, indicating that premenopausal and postmenopausal women had similar rates of fecal incontinence (z = 0.02, p = 0.98, CI: 0.97 [0.10, 9.47]).ConclusionFecal incontinence can occur after childbirth. The postpartum fecal incontinence rate in Turkey is 3%, and it is associated with the mode of delivery but not with menopausal status. A thorough postpartum examination is recommended for the early detection of fecal incontinence.PROSPERO Registration No: CRD420250653603.ConclusionFecal incontinence can occur after childbirth. The postpartum fecal incontinence rate in Turkey is 3%, and it is associated with the mode of delivery but not with menopausal status. A thorough postpartum examination is recommended for the early detection of fecal incontinence.PROSPERO Registration No: CRD420250653603.Science Citation Index Expande
Machine Learning Model for Predicting Multidrug Resistance in Clinical Escherichia Coli Isolates: A Retrospective General Surgery Study
No full textBackground/Objectives: Escherichia coli is one of the leading causes of surgical site infections (SSIs) and poses a growing public health concern due to its increasing antimicrobial resistance. High rates of extended-spectrum beta-lactamase (ESBL) production among E. coli strains complicate treatment outcomes and emphasize the need for effective surveillance and control strategies. Methods: A total of 691 E. coli isolates from general surgery clinics (2020–2025) were identified using MALDI-TOF MS. Antibiotic susceptibility data and patient variables were cleaned, encoded, and used to predict resistance using the Random Forest, CatBoost, and Naive Bayes algorithms. SMOTE addressed class imbalance, and model performance was assessed through various validation methods. Results: Among the three machine learning models tested, Random Forest (RF) showed the best performance in predicting antibiotic resistance of E. coli, achieving median accuracy, precision, recall, and F1-scores of 0.90 and AUC values up to 0.99 for key antibiotics. CatBoost performed similarly but was less stable with imbalanced data, while Naive Bayes showed lower accuracy. Feature importance analysis highlighted strong inter-antibiotic resistance links, especially among β-lactams, and some influence of demographic factors. Conclusions: This study highlights the potential of simple, high-performing models using structured clinical data to predict antimicrobial resistance, especially in resource-limited clinical settings. By incorporating machine learning into antimicrobial resistance (AMR) surveillance systems, our goal is to support the advancement of rapid diagnostics and targeted antimicrobial stewardship approaches, which are essential in addressing the growing challenge of multidrug resistance. © 2025 by the authors
The Potential of AI Chatbots as Diagnostic Tools in Mental Health: Evaluating Exercise Dependence Symptoms
No full textThis study aimed to evaluate the effectiveness of AI chatbots (Claude-3.5 Sonnet, ChatGPT-4o, and Gemini-1.5 Pro) in identifying exercise dependence symptoms using a hypothetical case study. To this end, three sport psychologists, each with a minimum of five years of experience, assessed the chatbots' performance in diagnostic assessment competency, implementation of diagnostic criteria, summary quality, terminology use, and overall effectiveness. The results indicated that while all chatbot models successfully identified major symptoms, their performance varied. Specifically, the Claude-3.5 Sonnet model demonstrated superior performance in specific areas, such as providing a clear case summary and using accurate terminology. However, all chatbots exhibited limitations in recognizing symptom severity and distinguishing between primary and secondary dependence. The sport psychologists expressed a willingness to use at least one AI chatbot model as an assistive tool in initial client assessments. These findings highlight the potential value of AI chatbots in mental health assessments. Future research should prioritize the optimization of algorithms and training data through expert collaboration and controlled real-world testing to improve the reliability and practical application of these tools. © 2025 Elsevier B.V., All rights reserved
Investigating the Personal and Professional Variables That Predict Discrimination Attitudes Among Nurses and Physicians
No full textIntroduction: Healthcare professionals are expected to provide holistic care to their patients without discrimination based on factors such as religion, language, age, gender, and race. Design: It is a cross-sectional descriptive study. Aim: The study aimed to examine the discriminatory attitudes of nurses and physicians working in hospitals in Sanliurfa and to define whether the personal and professional variables predict discriminatory attitudes among them. Methods: The STROBE reporting method, which is one of the EQUATOR guidelines, was followed. Data were collected from a total of 376 physicians and nurses through online platforms between March and June 2020 via the information form and the Discrimination Attitude Scale. Results: The discriminatory attitudes of the nurses and physicians participating in the study were above average. The total discriminatory attitudes scores of the participants varied according to sex, income levels, profession, hospital experience, and unit (p < 0.05). In addition, sex, profession and unit variables predicted the total discriminatory attitudes of nurses and physicians (p < 0.05). Conclusion: Although nurses' and physicians' discriminatory attitudes scores were generally higher, the highest mean score was in the subscale "discrimination against other nationalities." Sex, profession, and unit variables predicted the total discriminatory attitudes of nurses and physicians. Further quantitative and qualitative research is needed to understand the reasons for the highest discriminatory attitudes towards other nationalities among healthcare professionals, to overcome this issue. Clinical Relevance: Nursing or healthcare managers, as well as policymakers, may consider the predictive variables when staffing and training nurses and physicians working in similar regions and conditions
Implementation of the Homeostasis-Enrichment (Hep®) Approach for an Infant at Risk for Autism Spectrum Disorder: A Case Report
No full textBackground and Clinical Significance: This case report explicates the implementation and outcomes of the Homeostasis-Enrichment-Plasticity (HEP (R)) Approach in a 10-month-old male infant with an increased risk of Autism Spectrum Disorder (ASD) who exhibited challenges in sensory functioning and motor development. Case Presentation: The intervention was carried out utilizing the eleven-step HEP (R) Approach process. The Peabody Developmental Motor Scale-2 (PDMS-2), Test of Sensory Function in Infants (TSFI), Adaptive Behavior Assessment System-3 (ABAS-3), and Goal Attainment Scale (GAS) were used as outcome measures before and after the intervention. A pediatric physical therapist conducted an hour-long intervention weekly for 10 weeks using the HEP (R) Approach implementation guide. Post-intervention, the infant's fine and gross motor skill scores in the PDMS-2 and General Adaptive Composite in the ABAS-3 exhibited significant improvement, as determined by the 95% confidence interval overlap analysis. The TSFI total score also improved categorically. An overall GAS score of +1.6 corresponded to a t-score of 74.12, indicating significant progress towards the individualized intervention goals. Conclusions: The HEP (R) Approach enhanced motor development, sensory functioning, general adaptive skills, and parental goals in a 10-month-old infant at risk for ASD. The results support further examination of the HEP approach's effectiveness in infants at risk for ASD
Turkey on the Fault Line: The Impact of the Earthquake on the Labor Market
No full textWe assess the impact of the 2011 earthquakes of eastern Turkey on the labor market and the potential resilience strategy by exploring heterogeneity among subgroups. Our findings indicate a rise in low-skilled employment and an increase in the wage rates for low-skilled women following the earthquake. The instant response to earthquakes varies according to the residents' education level. The manufacturing sector was significant in enhancing the workers' resilience. The results further reveal that the return to the family business may have helped to mitigate the negative economic conditions created by the earthquakes
Sensory Processing Skills and School Functions in School-Aged Children With Attention Deficit Hyperactivity Disorder: a Gender-Based Analysis
No full textSensory processing skills are important for school functioning, learning and school participation. Children with attention deficit hyperactivity disorder (ADHD) may need additional support in the school context. This study aims to assess sensory processing skills and school functions in children with ADHD, focusing on gender differences. We included 118 children of whom 57 had ADHD and 61 were typically developing peers. Sensory processing skills were assessed with the Sensory Integration and Praxis Test subtests (Postrotary Nystagmus, Standing Walk and Balance, Bilateral Motor Coordination), and school functioning was evaluated using the School Function Assessment. Results showed that children with ADHD had worse sensory processing skills and school function, regardless of gender (p < 0.05). In girls with ADHD, Bilateral Motor Coordination emerged as a significant predictor across some sub-parameters of school functioning (Participation: p = 0.022; task supports: p = 0.020; physical tasks: p = 0.012). In boys, balance was particularly significant predictor of physical (p = 0.008) and cognitive functioning (p = 0.008). Boys with ADHD had more difficulty than girls in cognitive/behavioral task adaptations, setup and cleaning, and eating/drinking. Recognizing gender differences among these children is essential for health professionals to deliver more effective and individualized support interventions.Science Citation Index Expande