All healthcare workers (HCWs) encounter stress during in their working lives, and are constantly exposed to adverse conditions. The present study evaluates the relationship between burnout syndrome, anxiety levels and insomnia severity among healthcare workers, who mostly work in shifts. The Maslach Burnout Inventory, the Insomnia Severity Index and the Beck Anxiety Inventory were used to measure burnout, insomnia severity and anxiety status, respectively. This cross sectional study included a total of 1,011 HCWs and 679 (67.2%) of the study respondents were women. The respondents were aged 20–72, with a mean age of 35.67 ± 8.61 years. Fifty-eight percent (n = 589) of the participants were rotating shift workers. Working on-call led to a significant difference in all burnout parameters (for each, <0.001). Age and on-call duty were seen to lead to a significant difference in the severity of insomnia (p = 0.028, p < 0.001, respectively). The total ISI score was found to be statistically significant positively correlated with the MBI subscales and the total BAI score (for each, <0.001). An increased awareness of the impact of sleep deprivation, burnout and anxiety among HCWs and meaningful interventions promoting change within the healthcare system are needed.

In this study, we aimed to evaluate the relationships between Internet addiction, smartphone addiction, sleep quality, and academic success.

Introduction: Tobacco-free college campuses refer to colleges and universities that have implemented policies prohibiting the use of tobacco products at all indoor and outdoor campus locations. We aimed to evaluate university students' smoking behaviors and their attitudes towards "Tobacco-Free Campus Policy". Materials and Methods: A total of 10,383 university students were included in this cross-sectional study. The questionnaire was sent via web-based student information system. Demographical variables, the frequency of tobacco use, the addiction levels of the smoker students, and their perspective on the Tobacco-Free Campus Policy were evaluated. Results: The study population consisted of 5461 (52.6%) males and their mean age was 22.1 +/- 3.9 years. Among the students, 3992 (38.4%) were current smokers and the age of first smoking was 16.5 +/- 2.78 years. According to FTND scores, 15.1% of participants have high dependence, and 7.5% of them have very high dependence. There was a significant difference among participants who finds unacceptable "Tobacco-Free Campus Policy" in terms of gender (70.7% males vs. 29.3% females, p< 0.001) and smoking habit (7% never smoker, 4.1% ex-smoker, 88.9% current smoker, p< 0.001). Conclusion: The Tobacco-Free Campus Policy is important to fight against the tobacco industry in order to protect the right to health of all tobacco users and those who do not use it and should be considered as a goal to be achieved in order to live in a healthy environment.

Background and aim The 4-meter gait speed (4MGS), a functional performance test, is increasingly used to predict health outcomes. This study investigated 4MGS, nutritional status, frailty, and daily living activities in tertiary care pulmonary diseases ward patients. Methods Patients were assessed for nutritional status, activities of daily living, and frailty using the Mini Nutritional Assessment (MNA) Test, Barthel Questionnaire, and FRAIL scale. Those with 4MGS < 1 m/sec were classified as having slow gait speed. Results 80 patients (F/M: 21/59, mean age 58 ± 19) were included. Diagnoses included pneumonia, chronic obstructive pulmonary disease, pleural effusion, and interstitial lung disease. Patients had a 4MGS of 0,74 ± 0,24 m/sn, MNA score of 14.0 [IQR 25–75:11.0–19.8] points, Barthel index of 95 [IQR 25–75:70–100] points, FRAIL scale of 3 [IQR 25–75:1.0–4.0], and a hand-grip strength of 18.8 [IQR 25–75:15.7–25.9] kg. Slow gait speed patients had lower MNA, FRAIL scores, and handgrip strength. Multivariable regression analysis showed that slower gait speed was associated with lower serum protein level (B = 0.013, SE = 0.005, 95% CI: 0.004 to 0.022, p = 0.004), lower hand grip strength (B = -0.002, SE = 0.001, 95% CI: -0.003 to -0.00006, p = 0.041) and malnutrition risk (B = 0.024, SE = 0.007, 95% CI: 0.011 to 0.038, p < 0.001). Discussion and conclusion 4MGS correlates with comorbidities, frailty, grip strength, and nutritional status in hospitalized pulmonary patients. Slow gait patients are more malnourished despite similar age, sex, BMI, and comorbidities.