Browsing by Author "Yildiz, Metin"

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The Effect of Childhood Experiences, Picky Eating, and Hedonic Hunger on Eating Addiction in University Students: Analyzed by Machine Learning Approach
(Wiley, 2025) Aydin, Muhammet Ali; Karabulutlu, Ceren; Ulker, Izzet; Yildiz, Metin
Objective: The purpose of this research was to ascertain how university students' eating addiction was impacted by their early experiences, picky eating, and hedonic hunger. Methods: This descriptive cross-sectional study involved 681 university students and was carried out between April and June 2024. A sociodemographic characteristics information form, Childhood Positive and Negative Experiences Scale, Picky Eating Scale, Yale Food Addiction Scale, and Power of Food Scale were utilized to collect data. G*Power 3.1, the SPSS 22 software, and the R programming language 4.1.3 were utilized in the study's analysis. Results: Hierarchical regression analysis produced a significant and applicable model for this investigation (F(4,676) = 61.193, p = 0.001). A total of 26.6% (R-2 = 0.266) of the variance in the degree of eating addiction was explained by the levels of Picky Eating, Negative Childhood Experiences, Positive Childhood Experiences, and Power of Food Scales. When the t-test results for the regression coefficient's significance were examined in the regression model, it was found that the level of "Eating Addiction" increased statistically in response to increases in the levels of Negative Childhood Experiences Scale (t = 7.699, p < 0.001), Picky Eating Scale (t = 6.625, p < 0.001), and Food Power Scale (t = 9.532, p < 0.001). Eating addiction was found to be unaffected by the degree of positive childhood experiences (p = -0.566). Hedonic hunger was found to be the most significant variable in predicting the eating addiction variable in the machine learning technique. Conclusion: In our study, childhood experiences, picky eating status, and hedonic hunger status were found to affect eating addiction. Longitudinal studies on eating addiction in young people are recommended.
The Effect of Digital Obesity and Phubbing Level on Life Satisfaction: Latent Profile Analysis
(Springer Nature, 2024) Aydin, Muhammet Ali; Yildiz, Metin; Kiyici, Mubin; Yildiz, Mehmet; Kirksekiz, Ali; Kiziloglu, Seyda
BackgroundIn this study, the effects of individuals' digital obesity and phubbing behaviors on their life satisfaction were investigated by latent profile analysis (LPA) method. LPA is a statistical technique used to identify unobserved subgroups within a population based on individuals' responses to various observed variables.MethodsThe present study was conducted in a correlational cross-sectional descriptive design between November 2023- January 2024. Digital obesity scale, phubbing scale, life satisfaction scale were used in this study.ResultsAs a result of LPA, Class 1 (Low Digital Addicts) has the lowest arithmetic mean in all indicators. When life satisfaction was analyzed on the basis of the classes, it was found out that Class 2 (High Digital Addicts), which was collected in the group with high levels of digital obesity and phubbing, had lower life satisfaction. Considering the demographic levels of individuals according to class level, it was concluded that high digital addiction was more common among individuals with secondary and postgraduate education.ConclusionsIn the present study, two classes were found as a result of LPA. In the analysis, Class 1(Low Digital Addicts) was found to have the lowest arithmetic mean in all indicators. On the other hand, when life satisfaction was analyzed according to the classes, it was detected that Class 2 (High Digital Addicts) life satisfaction was lower in the group with high levels of digital obesity and phubbing. In the study, the life satisfaction of class 1, which is characterized as low digital addicts, was found to be higher. Longitudinal studies on digital addictions affecting life satisfaction are recommended.
The Effect of Hope and Psychological Well-Being on Quality of Life in Elderly Cancer Patients: Latent Profile Analysis
(BMC, 2025) Aydin, Muhammet Ali; Kizilarslan, Veysel; Emrem, Muruvvet; Gordes Aydogdu, Nihal; Yildiz, Metin; Ay, Emrah
Background This study was conducted to examine the effect of hope and psychological well-being on quality of life in elderly cancer patients using latent profile analysis (LPA). Method The study was conducted with 398 elderly cancer patients in Ataturk University Research in Turkey between September 2024 and January 2025. R programming language 4.1.3, G*Power 3.1 and SPSS-22 program were used in the analysis of the study. Results In our study, in the first stage of LPA analysis, BIC values were obtained by iterating each model and each class for 4 models and 9 classes. Since the lowest BIC value was found in the EEE model, the EEE model was considered as the appropriate model in the study and the class analysis was performed over this model. It is concluded that the best fitting class is the 2-class solution. As a result of LPA, class 1 has the lowest arithmetic mean in all indicators. According to the latent classes of the individuals in our study; it was found that the quality of life of individuals with Low Psychological Status was significantly lower than individuals with High Psychological Status (p < 0.05). Conclusion In our study, two classes were found as a result of LPA. According to the classes, it was found that the quality of life of individuals with low psychological status was lower than individuals with high psychological status. Increased hope and psychological well-being were found to improve quality of life in elderly cancer patients. Longitudinal studies on quality of life in elderly cancer patients are recommended.
The Effect of Kinesiophobia and Successful Aging on Quality of Life in Older Adults: Machine Learning Approach
(BMC, 2025) Aydin, Muhammet Ali; Yildirim, Nilufer; Kizilarslan, Veysel; Emrem, Muruvvet; Polat, Sevin; Yildiz, Metin
Background Kinesiophobia and successful aging are key factors affecting quality of life in older adults; kinesiophobia, the fear of movement, can lead to reduced physical activity, while successful aging promotes overall well-being. Aim This study was conducted to examine the effect of kinesiophobia and successful aging on quality of life in the older adults. Method This descriptive cross-sectional study was conducted with 451 older adults living in Erzurum between July and November 2024. R programming language 4.1.3, G*Power 3.1 and SPSS-22 program were used in the analysis of the study. Results In the study, the level of kinesiophobia explained 8.4% of the total variance of the quality of life level (R2 = 0.084). It was determined that an increase in the level of kinesiophobia (t=-6.406, p < 0.001) caused a statistically significant decrease in the level of "quality of life". Kinesiophobia level and successful aging levels together explain 52.4% (R2 = 0.524) of the total variance in quality of life level. It was determined that the increase in the level of successful aging of the participants (t=-2.854, p < 0.001) caused a statistical increase in the level of "quality of life". The SHAP values of the variables in the best-performing model were examined. According to the graph, successful aging is identified as the most important variable in predicting the quality of life variable. It was found that the successful aging variable has an effect that is 4.917 units higher compared to other variables. Conclusion In this study, it was found that quality of life decreased with increasing kinesiophobia, whereas quality of life increased with increasing level of successful aging. Longitudinal studies on quality of life in the elderly are recommended.
Helicopter Parenting and Psychological Well-Being: Impact on Adolescents' Nutrition Attitudes
(Springer Nature, 2025) Ulker, Izzet; Aydin, Muhammet Ali; Karabulutlu, Ceren; Aydogdu, Nihal Gordes; Polat, Sevin; Camli, Ayse; Yildiz, Metin
Background This study aimed to examine the effect of helicopter parental attitude and psychological well-being level on Attitude towards nutrition in adolescent students. Methods This study was designed with the relational-cross-sectional-descriptive model and was conducted with 652 adolescent students studying in a province in eastern Turkey between 16.05 and 10.07 2024. Data were analyzed using SPSS 25.0 and G*Power 3.1 statistical package programs. Results Based on the results of Model 1, the Psychological Well-Being level explained 3.5% of the total variance in Attitude Towards Nutrition level (R-2=0.035, F(1,650) = 23.878, p = 0.001) and it was determined that the increase in Psychological Well-Being level significantly increased the attitude towards nutrition (t = 4.886, p < 0.001). In Model 2, Psychological Well-Being and Perceived Helicopter Parental Attitude-Mother variables together explained 12.2% of the total variance (R-2=0.122, F(2,649) = 44.912, p = 0.001), it was found that an increase in both variables led to a significant increase in nutrition attitude (Psychological Well-Being: t = 5.601, p < 0.001; Mother Attitude: t = 7.978, p < 0.001). In the results of Model 3, Psychological Well-Being and Perceived Helicopter Parental Attitude-Mother/Father variables explained 12.6% of the total variance (R-2=0.126, F(3,648) = 31.266, p = 0.001), Psychological Well-Being (t = 5.864, p < 0.001) and Mother Attitude (t = 5.416, p < 0.001) significantly affected the nutritional attitude, while the effect of Father Attitude was not significant (t = 1.900, p = 0.058). Conclusions In this study, it was found that Psychological Well-Being and Perceived Helicopter Parental Attitude (especially mother attitude) levels had significant effects on individuals' Attitudes Towards Nutrition. In addition, the strong effect of the mother's attitude on eating habits was noted, but it was determined that the father's attitude did not have a significant effect on this relationship.
Relationship Between Microbiota Awareness, Nutrition Literacy, and Health Literacy Among Adolescents
(TÜBİTAK Scientific & Technological Research Council Turkey, 2024) Ulker, Izzet; Aydin, Muhammet Ali; Yildiz, Metin; Gokcay, Gonul; Elkoca, Ayse; Yildirim, Mehmet Salih; Yilmaz, Dursun Alper
Background/aim: Microbiota awareness, nutritional literacy, and health literacy levels in adolescents have a significant impact on their health and well-being. This research was conducted to examine the relationship between microbiota awareness, nutrition literacy, and health literacy in adolescents. Material and methods: This research was structured with a descriptive-correlational design. The study population comprised adolescents aged 10-19 years, living in T & uuml;rkiye (n = 739), between June 2022 and February 2024. Data were analyzed using SPSS 22.0, G*Power 3.1, and R programming language 4.1.3. Results: The total effect of the health literacy variable on nutritional literacy was 0.2311, and this was statistically significant at a 95% confidence interval (CI) (p < 0.05). In terms of the health literacy variable, the direct effect of the nutrition literacy variable on the microbiota awareness variable was 0.2888, and this was statistically significant at the 95% CI (p < 0.05). In terms of the nutritional literacy variable, the direct effect of the health literacy variable on the microbiota awareness variable was 0.1707, and this was statistically significant at the 95% CI (p < 0.05). Nutrition literacy had a partial mediating role in the effect of health literacy on microbiota awareness (lower limit CI: 0.045; upper limit CI: 0.0894). The most accurate prediction of machine learning approaches to predict microbiota awareness was made with random forest with shapley additive explanations values, and the most important variable that should be in the model to predict the microbiota awareness variable was the nutrition literacy variable. Conclusion: Microbiota awareness increased as health literacy and nutrition literacy increased. In the machine learning approach prediction, the most important variables affecting microbiota awareness were health literacy and nutritional literacy. Longitudinal studies on microbiota awareness are recommended.