Mudanya University Institutional Academic Archive System

Mudanya University's Dspace system is a platform that digitally stores and opens academic studies. Academic content such as articles, presentations, theses, books, and reports are included here. Dspace@Mudanya provides easy access, making it a valuable resource for researchers and students. It serves as a digital archive for Mudanya University's academic outputs, facilitates access to scientific information and supports its sharing. For more information and assistance, please contact us.

 

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The Effect of Physical Activity and Sleep on Quality of Life and Depression Level in 18- 25 Years Old University Students
(2025-05) Kavlak, Erdoğan; Erdoğmuş Gülcan, Server; Yalçın, Gülay; 392815; 308202
Aim: Physical activity,which involves movements exceeding basal energy levels, affects both physical and psychological health.This descriptive study examines the effects of physical activity and sleep on quality of life and depression in university students. Methods: A total of 141 university students aged 18-25 years were included in the study.Sociodemographic data was collected using a form.Physical activity was assessed with the International Physical Activity Questionnaire short form (IPAQ), sleep quality with the Pittsburgh Sleep Quality Index (PSQI), depression levels with the Beck Depression Inventory, and quality of life with the Quality of Life Scale (SF-36). Results: While there was no statistically significant correlation between PSQI,which was used to evaluate sleep duration and quality, and SF-36 sub-parameters Physical Function (r=-0.127;p=0.133) and Physical Role Difficulty (r= - 0.155;p=0.066);There was a weak negative statistically significant relationship between the sub-parameters of Vitality (r=-0.281*;p=0.001),Social Functioning (r=-0.278*;p=0,001),Pain (r=-0.296*;p=0.000), General Health (r=-0.290*;p=0.000). A statistically significant relationship was found between PSQI and Emotional Role Difficulty (r=-0.300*;p=0.000), Mental Health (r=-0.409*;p=0.000) sub-parameters at a moderate negative level. There was also a statistically significant moderate positive correlation between the total scores of PSQI and Beck Depression Inventory (r=0.483*;p=0.000). Conclusions: Adequate sleep and physical activity improve the quality of life and mood in university students,a critical life stage.Therefore, interventions to assess and improve physical activity levels and sleep quality are necessary. In this population, physical activity levels and sleep quality should be questioned and interventions to improve them are needed.
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A Comparison of Physical Activity Level, Quality of Life, Sleep Quality and Depression Levels in Mothers of Disabled Children With and Without Musculoskeletal Pain
(İstanbul Gelişim Üniversitesi, 2025-11) Yalçın, Gülay; Kayış, Rukiye; 308202
Aim: This study aims to compare physical activity levels, quality of life, sleep quality, and depression levels in mothers of children with disabilities, distinguishing between those with and without musculoskeletal pain. Method: A total of 61 mothers aged 20–45 years participated in the study, including 27 mothers with musculoskeletal pain, as determined by the Visual Analog Scale (VAS), and 34 mothers without musculoskeletal pain. The physical activity levels of the mothers were assessed using the International Physical Activity Questionnaire – Short Form (IPAQ), pain status with the VAS, depression levels with the Beck Depression Inventory (BDI), sleep quality with the Pittsburgh Sleep Quality Index (PSQI), and quality of life with the Nottingham Health Profile (NHP). Results: Body mass index, NHP, PSQI, VAS and number of pregnancies were statistically significantly different between the two groups (p<0.05). There was no statistically significant difference between the two groups in the results of IPAQ, BDI, number of children, number of miscarriages, smoking, presence of care assistants, educational status and economic status (p>0.05). Conclusion: Musculoskeletal pain negatively affects the sleep quality and quality of life of mothers of children with disabilities. Depression levels and physical activity levels were high in both groups. In addition, factors such as sociocultural and number of children are also associated with musculoskeletal pain.
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The effect of interval and continuous aerobic training on exercise capacity and health-related quality of life in people with coronary artery DISEASE: A randomized controlled trial
(W B SAUNDERS CO LTD, 2026-02) Yalçın, Gülay; Mutluay, Fatma; 308202
Background: Aerobic exercise is a fundamental component of cardiac rehabilitation in individuals with coronary artery disease (CAD). However, the comparative effects of interval and continuous aerobic training on exercise capacity and health-related quality of life (HRQoL) remain under debate. Methods: This randomized controlled trial included 40 patients with clinically stable coronary artery disease. Participants were randomly assigned to either interval aerobic training or continuous aerobic training for six weeks. The 6-min walk test (6MWT) was used to evaluate exercise capacity, and the Short Form-36 (SF-36) questionnaire was used to assess health-related quality of life (HRQoL). All assessments were performed before and after the training program. Results: Both training groups demonstrated significant improvements in exercise capacity and HRQoL following the intervention. Interval aerobic training resulted in greater improvements in 6-min walk distance, exercise test duration, and selected SF-36 domains compared with continuous aerobic training. Conclusion: Both interval and continuous aerobic training improved exercise capacity and health-related quality of life in patients with coronary artery disease. Interval aerobic training was associated with superior improvements in submaximal exercise capacity and selected quality-of-life domains, suggesting that it may be an effective alternative within cardiac rehabilitation programs.
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An explainable ensemble machine learning model using baseline blood transcriptomics to predict Parkinson’s disease motor progression
(FRONTIERS MEDIA SA, 2026-02) Fırat, Yelda; 41749
Introduction: Predicting Parkinson's disease (PD) motor progression remains challenging despite advances in neuroimaging. Blood-based transcriptomic profiling offers a more accessible and cost-effective alternative. This study aimed to develop and validate a machine learning approach using blood-based transcriptomic data to predict 12-month motor severity in PD and to identify the transcriptomic features and biological pathways most strongly associated with progression. Methods: A Stacking Regressor ensemble model combining three gradient boosting algorithms (XGBoost, LightGBM, CatBoost) was developed using baseline Parkinson's Progression Markers Initiative (PPMI) data (n = 390), integrating blood RNA sequencing (RNA-seq) and clinical features to predict 12-month UPDRS Part III scores. SHapley Additive exPlanations (SHAP) analysis was applied to identify key prognostic features, evaluating seven PD risk genes (SNCA, LRRK2, GBA, PRKN, PINK1, PARK7, VPS35) and pathway scores for mitochondrial dysfunction, neuroinflammation, and autophagy. Results: On an independent test set (n = 78), the model achieved a Coefficient of Determination (R & sup2;) of 0.551 and Mean Absolute Error (MAE) of 6.01. SHAP analysis identified the baseline UPDRS & times; PINK1 interaction (UPDRS_BL & times; PINK1) as the most influential feature (mean |SHAP| = 0.283). Among transcriptomic features, VPS35 (mean |SHAP| = 0.010), GBA, and LRRK2 were most prominent. Mitochondrial dysfunction showed the highest pathway contribution (mean |SHAP| = 0.008). Discussion: The study establishes that machine learning integrating blood transcriptomics and clinical data effectively predicts motor progression in PD. Crucially, the interplay between initial clinical state and specific genetic backgrounds-particularly PINK1-is a more powerful prognostic indicator than any factor alone. This study provides systematic evidence that mitochondrial dysfunction is a dominant prognostic signal for disease progression, nominating key genes and pathways for future mechanistic and therapeutic investigation.
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The Mixed-Up Birthday Party
(SP-Kindle, 2026-05) Mustafa, Esma; 392828
The Mixed-Up Birthday Party is a funny children’s drama about a birthday celebration that turns into complete chaos. Emma excitedly prepares for her birthday party with her friends Leo, Mia, and Tom. However, the party becomes strange and hilarious when Tom brings a disgusting “special sandwich” made of bananas, pickles, onions, and sardines. Later, the silly entertainer Clown Cookie arrives carrying mysterious boxes filled with random objects like carrots, socks, and rubber chickens. During party games, accidents and misunderstandings create more laughter and confusion. Finally, Clown Cookie accidentally drops his hat into the birthday cake, making the party even funnier. Despite all the disasters, Emma realizes that friendship, laughter, and fun are what make a birthday truly special.