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    Relationship between exercise beliefs, happiness, quality of life and sociodemographic characteristics in pregnant women in Eastern Turkey: a cross-sectional study
    (Bmj Publishing Group, 2025) Taskaya, Burhan; Ciftci, Necmettin; Durmus, Mustafa; Sahin, Fatih; Yildiz, Metin; Yildirim, Hilal
    Objective This study was conducted to examine the relationship between exercise health beliefs, happiness and quality of life among pregnant women, and to evaluate how sociodemographic characteristics are associated with these variables. Design The study was conducted using a cross-sectional descriptive study design. Data were collected through face-to-face interviews using a convenience sampling approach. 'Personal Information Form', 'Exercise Health Belief Model Scale', 'Oxford Happiness Scale Short Form' and 'Short Form (SF-12) Quality of Life Scale' were used to collect data. Descriptive statistics (mean, SD, percentage), Pearson correlation analysis and simple linear regression were applied. Setting The study was conducted at Family Health Centres located in a provincial centre in Eastern Turkey. Participants A total of 1090 pregnant women who visited the Family Health Centres participated in the study. Results The mean score for the Exercise Health Belief Model Scale was 113.98 +/- 20.49, the mean score for the Oxford Happiness Scale Short Form was 18.45 +/- 4.05 and the mean score for the SF-12 Quality of Life Scale was 85.34 +/- 10.29. A positive and moderately significant correlation was found between exercise health beliefs, happiness and quality of life (r=0.31-0.38, p<0.01). Regression analyses showed that exercise health beliefs were significantly associated with both happiness (R-2=0.097, p<0.01) and quality of life (R-2=0.147, p<0.01). Conclusions Higher levels of exercise health beliefs were associated with increased happiness and quality of life in pregnant women. These findings suggest that nursing interventions aimed at strengthening exercise beliefs may contribute to maternal well-being during pregnancy.
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    Relationship of Cryptocurrency Trading to Quality of Life, Sleep and Stress Levels in Academics
    (Int Ctr Mental Health Policy & Economics-Icmpe, 2024) Ucar, Mehmet; Yildiz, Metin; Ciftci, Necmettin; Aylaz, Rukuye
    Background: Cryptocurrency trading has become popular with a large section of society, and the number of investors is increasing daily. It is critical to address the health impacts of cryptocurrency trading. Of particular importance is the issue of how such trading affects mental health. Research should be conducted on this topic, and where necessary, national governments should develop policies to combat these effects. Aims: This study was conducted to examine the relationship of cryptocurrency trading to quality of life, sleep, and stress levels in academics. Method: This descriptive and cross-sectional study was conducted with 437 academics working at a state university in Turkey. A Personal Information Form, the SF-12 Quality of Life Scale, the Scopa Sleep Scale, and the Perceived Stress Scale were used to collect data. These data were analyzed using SPSS 25.0 and G*Power 3.1 programs. Results: The data obtained in this study were analyzed using SPSS program (SPSS-25). The effect size and r-effect size were calculated with Cohen's d value. It was found that the mean scores for the SF- 12 Quality of Life Scale were statistically lower in academics who traded cryptocurrency than in those who did not. The results showed that the mean scores for the Scopa Sleep Scale and Perceived Stress Scale were statistically higher in academics who traded cryptocurrency than in those who did not (p<0.05). Discussion: The academics who traded cryptocurrency had more negative health outcomes when compared to those who did not. Social awareness should be raised on the negative effects of cryptocurrency trading. A limitation of the study is that only data obtained from the statements of the participants were included in the study. The study may have some generalizability to other academics, but has less generalizability to populations other than academics. Implications for Health Care Provision and Use: Cryptocurrency trading is a significant public health problem. Although cryptocurrency trading has been found to profoundly affect mental health (sleep, stress, and quality of life), the current policies that address these problems are generally inadequate in terms of implementing and sustaining mental healthcare systems. The limitations of these health policies prevent many individuals in society from receiving high quality services. Implications for Health Policies: Health systems alone cannot solve the systemic problems that lead to the population's dependence of mental health services and institutions. In order to solve this basic problem, it may be necessary for governments to increase individuals' basic incomes and develop specific mental health policies for people engaged in cryptocurrency trading. Implications for Further Research: Future studies should examine expert perspectives on mental health services in different contexts (e.g., behavioral addiction services), collect targeted feedback, and explore issues such as strategic planning and funding stability. Effective decisions should be made regarding the implementation and maintenance of treatment for behavioral addictions.
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    The effect of smombie and phubbing levels on psychological well-being in adolescents
    (Springernature, 2026) Inci, Ramazan; Saglam, Mehmet; Koroglu, Sevgi; Oluc, Tugba; Gul, Nursel; Yildiz, Metin
    Objective This study was conducted to examine the effect of smombie (attention distraction and alienation from the environment due to smartphone use) and phubbing (ignoring others by being preoccupied with one's phone during face-to-face interactions) levels on adolescents' psychological well-being. Method This descriptive cross-sectional study was conducted with 626 adolescents living in Turkey between June-September 2025. Data was collected via an online survey administered through Google Forms. The data collection tools used were the Smombie Scale for Adolescents, the General Phubbing Scale, and the Psychological Well-Being Scale. R programming language 4.1.3, G*Power 3.1, and SPSS-22 programs were used in the analysis of the study. Results According to hierarchical regression analysis results, smombie level explained 15.7% of the variance in psychological well-being (R-2 = 0.157; F(1,624) = 117.64, p < 0.001) and was found to be negatively associated with psychological well-being (beta = - 0.398; 95% CI [- 0.475, - 0.329]). With the addition of phubbing level, the total variance explained by the model increased to 22.3% (R-2 = 0.223; F(2,623) = 90.70, p < 0.001). In this model, both smombie (beta = - 0.171; 95% CI [- 0.266, - 0.079]) and phubbing (beta = - 0.344; 95% CI [- 0.224, - 0.130]) levels showed statistically significant and negative relationships with psychological well-being; with phubbing being a stronger predictor. Conclusion This study demonstrates that smombie and phubbing behaviors in adolescents are negatively associated with psychological well-being. The cross-sectional design of this study limits causal inferences. Therefore, future research should employ a longitudinal design to determine the direction of these relationships and their effects over time.