(1) Background: individuals may benefit from being involved in physical and athletic activities in order to improve their body appearance and promote their physical and mental health. This study aimed to investigate body image, body mass index (BMI) characteristics, social physique anxiety, self-esteem and possible correlations between the above factors. (2) Methods: 245 adults engaged in training programs in gyms, as well as in track and field, football and basketball athletic activities completed (a) a sociodemographic questionnaire which recorded their BMI values and utilized the (b) Body-Esteem Scale for Adolescents and Adults, (c) the Social Physique Anxiety Scale and (d) the Rosenberg Self-Esteem Scale. (3) Results: Females and individuals with higher BMI reported statistically significant lower body-esteem and greater social physique anxiety levels compared to males and individuals with lower BMI, respectively (p < 0.05). A total of 25.3% of our participants were labeled as “overweight”, while 20.4% had been overweight in the past. Significant differences were reported between body-esteem and social physique anxiety levels (p < 0.001); age (p = 0.001); BMI value (p < 0.001) and never having a problem with body weight (p = 0.008). Additionally, individuals with lower body-esteem and greater social physique anxiety levels presented lower global self-esteem (p < 0.001). (4) Conclusions: individuals’ engagement in physical activity promotes physical as well as mental well-being, contributing to an improved quality of life, which may be the most important issue for health care professionals.

Fatigue is frequently experienced by patients undergoing hemodialysis and it has a negative effect on their quality of life. The aim of this study was to investigate the factors associated with fatigue in patients undergoing hemodialysis. In this quantitative cross-sectional study, 100 patients on hemodialysis participated. Fatigue was evaluated via the Modified Fatigue Impact Scale (MFIS). Participants also completed a questionnaire about demographics and clinical characteristics. The Kruskal-Wallis test, the Mann-Whitney U test, and Spearman's rho criterion were used to assess the association between fatigue score and patient characteristics. Multiple linear regression was performed to assess the effect of the characteristics on patients' fatigue. Statistically significant high levels of physical or mental fatigue were found in older patients (p=0.001 and p=0.001), divorced/widowed patients (p=0.001 and p=0.014), those who had children (p=0.019), those who had primary education (p=0.015), those who were not informed about their health problems (p=0.003 and p=0.006), those who had comorbid diseases (p=0.001 and p=0.001), those who believed that regular information did not help to reduce stress (p=0.005 and p=0.004), patients who had insomnia (p=0.001 and p=0.001), patients who felt tired after hemodialysis (p=0.001 and p=0.001), those who thought they had a change in body image (p=0.001 and p=0.001), those who often felt stiffness (p=0.001 and p=0.001), those who sometimes felt nausea (p=0.015 and p=0.038), and those who had limitations in the clothes they could wear (p=0.001 and p=0.001). The findings of this study showed that physical or mental fatigue had a strong association with advanced age, comorbidities, marital status, level of education, inadequate information about the disease, insomnia, and change in body appearance. Hence, renal professionals need to properly educate dialysis patients on the complicated nature of fatigue in order to manage it effectively and improve their physical, cognitive, and social wellbeing.

Background and Objectives: The fatigue, stress, and burnout of nurses lead to them frequently making mistakes, which have a negative impact not only on the safety of the patients but also on their psychology. The ability to bounce back from mistakes is crucial for nurses. Nursing staff members’ physical and mental health, particularly their depression, is far from ideal, and this ill health is directly correlated with the frequency of self-reported medical errors. The nurses’ mental and physical health are also positively correlated with their perception of wellness support at work. This cross-sectional study aimed to investigate the status of nurses’ mental and physical health regarding clinical errors and the impact of resilience on coping with these situations. Materials and Methods: A total of 364 healthcare professionals participated in this research; 87.5% of them were females and 12.5% of them were males. Most of the participants were 22–35 years old. The median number of years of employment was nine. Clinical nurses anonymously and voluntarily completed a special structured questionnaire that included questions from different validated tools in order to assess their state of physical and mental wellbeing after events of stress and errors made during their practice. Results: In total, 49.4% of the nurses had made an error on their own, and 73.2% had witnessed an error that someone else had made. At the time of the error, 29.9% of the participants were in charge of more than 20 patients, while 28.9% were responsible for a maximum of three patients. Participants who were 36–45 years old had more resilience (p = 0.049) and experienced fewer negative emotions than participants who were 22–35 years old. The participants who mentioned more positive feelings according to their mental state had greater resilience (p > 0.001). Conclusions: Errors were likely to happen during clinical practice due to nurses’ negative experiences. The level of resilience among the nursing population was found to play a very important role not only in making mistakes but also in coping with errors during their daily routine. Wellness and prevention must be given top priority in all healthcare systems across the country in order to promote nurses’ optimal health and wellbeing, raise the standard of care, and reduce the likelihood of expensive, avoidable medical errors. Healthcare administrations should promote prevention programs for stress occurrence in order to support nurses’ wellbeing maintenance.

Introduction: TikTok use is increasing, especially among children and adolescents. However, the negative effects of TikTok use have not been sufficiently investigated. Aim: To examine the association between TikTok use and anxiety, depression, and sleepiness in adolescents. Methods: We conducted a web-based cross-sectional study in Greece. We employed a convenience sample of 219 adolescents in Greece. All participants had a TikTok account. We used the TikTok Addiction Scale (TTAS) to measure TikTok use and the Patient Health Questionnaire-4 (PHQ-4) to measure anxiety and depression. We constructed multivariable regression models, and we performed a stratified analysis according to gender. Results: The mean age was 18.5 years (standard deviation: 0.5, range: 18 to 19). In our sample, 81.3% were girls and 18.7% were boys. Mean daily TikTok usage and TTAS scores were statistically higher for girls than for boys. Our multivariable linear regression analysis was adjusted for age and showed that problematic TikTok use was associated with higher levels of anxiety and depression symptoms in both genders. In particular, we found a positive association between mood modification and anxiety score (beta = 0.404, p-value = 0.006). Moreover, we found a positive association between conflict and depression score (beta = 0.472, p-value < 0.001). Additionally, we found that the impact of TikTok on anxiety and depression was greater among boys than girls. We also found that problematic TikTok use was associated with increased sleepiness in both genders (mood modification: beta = 0.655, p-value < 0.001; conflict: beta = 0.674, p-value < 0.001). Conclusions: Our findings showed a positive association between TikTok use and anxiety, depression, and sleepiness. Early identification of problematic TikTok users is essential to promote their mental health and well-being. Healthcare professionals should be alert to recognize symptoms of problematic TikTok use.

The COVID-19 pandemic had an impact on everyone’s daily lives with short-term or long-term consequences. Among the affected population, university students were studied by researchers specifically due to the total change to their educational way of learning and the courses they attended. The present study aimed to assess the psychological difficulties experienced by the university students of Greece during the first wave of the outbreak. Methods: 288 university nursing students completed an electronic questionnaire after consent. The sample included students from all years of study. The questionnaire included demographic data and questions about mental health status, resilience level, coping strategies, positive and negative emotions and an optimism assessment. Results: Depression (44.8%), anxiety (36.8%) and stress (40.3%) were experienced by the students. Females had significantly greater anxiety and stress signs compared to males (p < 0.001). The resilience score was significantly greater in males, as it was for the Positive Affect Score. Students in the fourth year of study used significantly more active/positive coping strategies than students in the first (p = 0.016) or second year of study (p = 0.005). Conclusion: Several students experienced serious mental disorders during the first period of the COVID-19 outbreak. Variables such as gender, year of study, age, positive and negative affect score, life orientation test score and coping strategies were identified as factors contributing to this situation. Special attention must be paid to female students as they mentioned negative emotions more frequently than males. Further research on the academic population could be beneficial to university administrators.

Introduction: Depression is a commonly experienced psychological disorder among patients undergoing hemodialysis and has a strong association with insomnia and fatigue. The purpose of the present study was to explore the factors related to depression in dialysis patients and the impact of insomnia and fatigue on depression. Methods: In this cross-sectional study, one hundred (n=100) patients on hemodialysis from one hemodialysis center in Greece participated. Data collection was carried out by interviews using the Zung Self-rating Depression Scale (SDS) for the evaluation of depression; the Athens Insomnia Scale (AIS) for the evaluation of insomnia; the Modified Fatigue Impact Scale (MFIS) for the evaluation of fatigue; and a questionnaire which was created by the researchers. The Kruskal-Wallis, the Mann-Whitney tests, and the Spearman's rho criterion were used to evaluate the relationship between depression score and patient characteristics. Multiple linear regression was performed to assess the effect of characteristics on patients' depression. Results: Statistically significantly high levels of depression were found in patients over the age of 70 years old (p=0.001), in divorced/widowed patients (p = 0.001), in pensioners (p = 0.002), in patients who had other diseases (p = 0.001), in those who felt tired after hemodialysis or at night and those who felt constantly tired (p = 0.001, p = 0.016, and p = 0.001, respectively), in those who had physical and mental fatigue (p = 0.001 and p = 0.001, respectively), in those who had changes in body image (p = 0.009), itching, stiffness, and nausea/vomiting (p = 0.001, p = 0.001, and p = 0.003, respectively), in patients who had restrictions in clothes they could wear (p = 0.001), in patients who had insomnia (p = 0.001), and in patients who did not wish to receive written information about the management of their disease (p = 0.025). A statistically significant positive linear association was detected between physical/mental fatigue and depression levels (rho = 0.824 and rho = 0.746, respectively) and between the score of insomnia and depression levels (rho = 0.707). An increase in fatigue (either physical or mental) and an increase in insomnia score also indicated an increase in depression levels. Conclusions: The findings of this study showed that depression had a strong association with a variety of demographic factors. Additionally, an increase in fatigue score and an increase in insomnia score indicated an increase in depression levels. Therefore, depression, insomnia, and fatigue should be early assessed and effectively treated by renal professionals in order to improve the quality of life in hemodialysis patients and reduce their morbidity and mortality.