The relationship between the severity of inflammatory bowel diseases and expirium air carbon monoxide levels.

INTRODUCTION: We investigated the relationship between expirium air carbon monoxide (E-CO) levels and disease severity in patients with ulcerative colitis (UC) and Crohn's disease (CD). METHODS: After their first follow-ups, the E-CO levels of 162 patients with UC and 100 with CD were measured for four consecutive weeks. Blood samples were collected from all the patients, and their clinical severity was determined 1 month after their initial presentation. The clinical severity of CD was determined using the Harvey Bradshaw index (HBI), while the patients with UC completed the SEO clinical activity index (SEOI). The relationships between the disease severity and the means of these four E-CO readings were then compared. RESULTS: The mean age of the participants was 42.28 ± 14.9 years, and 158 (60.3%) were men. In addition, 27.2% of the UC group and 44% of the CD group were smokers. The mean SEOI score was 145.7 ± 42.0 (min = 90, max = 227), and the mean HBI score was 5.75 ± 3.3 (min = 1, max = 15). Increased CO ppm (OR = -9.047 to 7.654 95% CI) and the number of cigarettes smoked per day (OR = -0.161 to 1.157 95% CI) emerged as independent risk factors for lower SEO scores in the linear regression models (p < 0.001), while the number of cigarettes smoked per day (OR = 0.271 to 1.182% 95 CI) was a risk factor for higher HBI scores (p = 0.022). CONCLUSION: UC severity decreased with higher E-CO levels and the mean number of cigarettes smoked, while CD severity increased in line with the mean number of cigarettes smoked.

Sleep quality and related factors in a sample of Turkish healthcare workers during the COVID-19 pandemic: A cross-sectional study.

BACKGROUND: Increasing workloads and psychological pressure have led to fatigue among healthcare workers during the COVID-19 pandemic. Increasing stress and social isolation can also lead to sleep problems. The purpose of this study was to evaluate sleep quality and related factors among healthcare workers during the COVID-19 pandemic in Turkey. METHODS: The data in this cross-sectional study were collected using an online questionnaire. This included sociodemographic data, the Multidimensional Scale of Perceived Social Support, the National Stressful Events Survey PTSD Short Scale and the Pittsburgh Sleep Quality Index. RESULTS: Two hundred seventy-eight physicians, 104 nurses and 52 dentists were enrolled. The total prevalence of poor sleep quality was 56.7%. The prevalence of poor sleep quality was 67.3% in nurses, 55.4% in physicians and 42.3% in dentists. Poor sleep quality was more prevalent among women, nurses, hospital workers, frontline workers, individuals with <5 years of work experience, those with low social support and individuals with increased traumatic stress levels. High levels of social support and family social support were identified as protective factors against poor sleep quality. Multivariate regression analyses showed that poor sleep quality was significantly associated with working in hospitals and high traumatic stress levels during the COVID-19 pandemic. CONCLUSIONS: Poor sleep quality was common among healthcare workers during the COVID-19 pandemic. Working in hospitals and high traumatic stress levels were identified as factors associated with poor sleep quality.