Sleep deprivation is common among university students, and has been associated with poor academic performance and physical dysfunction. However, current literature has a narrow focus in regard to domains tested, this study aimed to investigate the effects of a night of sleep deprivation on cognitive and physical performance in students. A randomized controlled crossover study was carried out with 64 participants [58% male (n = 37); 22 ± 4 years old (mean ± SD)]. Participants were randomized into two conditions: normal sleep or one night sleep deprivation. Sleep deprivation was monitored using an online time-stamped questionnaire at 45 min intervals, completed in the participants’ homes. The outcomes were cognitive: working memory (Simon game© derivative), executive function (Stroop test); and physical: reaction time (ruler drop testing), lung function (spirometry), rate of perceived exertion, heart rate, and blood pressure during submaximal cardiopulmonary exercise testing. Data were analysed using paired two-tailed T tests and MANOVA. Reaction time and systolic blood pressure post-exercise were significantly increased following sleep deprivation (mean ± SD change: reaction time: 0.15 ± 0.04 s, p = 0.003; systolic BP: 6 ± 17 mmHg, p = 0.012). No significant differences were found in other variables. Reaction time and vascular response to exercise were significantly affected by sleep deprivation in university students, whilst other cognitive and cardiopulmonary measures showed no significant changes. These findings indicate that acute sleep deprivation can have an impact on physical but not cognitive ability in young healthy university students. Further research is needed to identify mechanisms of change and the impact of longer term sleep deprivation in this population.

ObjectiveA key challenge towards a successful COVID-19 vaccine uptake is vaccine hesitancy. We examine and provide novel insights on the key drivers and barriers towards COVID-19 vaccine uptake.DesignThis study involved an anonymous cross-sectional online survey circulated across the UK in September 2020. The survey was designed to include several sections to collect demographic data and responses on (1) extent of agreement regarding various statements about COVID-19 and vaccinations, (2) previous vaccination habits (eg, if they had previously declined vaccination) and (3) interest in participation in vaccine trials. Multinominal logistic models examined demographic factors that may impact vaccine uptake. We used principle component analysis and text mining to explore perception related to vaccine uptake.SettingThe survey was circulated through various media, including posts on social media networks (Facebook, Twitter, LinkedIn and Instagram), national radio, news articles, Clinical Research Network website and newsletter, and through 150 West Midlands general practices via a text messaging service.ParticipantsThere were a total of 4884 respondents of which 9.44% were black, Asian and minority ethnic (BAME) group. The majority were women (n=3416, 69.9%) and of white ethnicity (n=4127, 84.5%).ResultsRegarding respondents, overall, 3873 (79.3%) were interested in taking approved COVID-19 vaccines, while 677 (13.9%) were unsure, and 334 (6.8%) would not take a vaccine. Participants aged over 70 years old (OR=4.63) and the BAME community (OR=5.48) were more likely to take an approved vaccine. Smokers (OR=0.45) and respondents with no known illness (OR=0.70) were less likely to accept approved vaccines. The study identified 16 key reasons for not accepting approved vaccines, the most common (60%) being the possibility of the COVID-19 vaccine having side effects.ConclusionsThis study provides an insight into focusing on specific populations to reduce vaccine hesitancy. This proves crucial in managing the COVID-19 pandemic.

using paired two-tailed T tests and MANOVA. Reaction time and systolic blood pressure post-exercise were significantly increased following sleep deprivation (mean ± SD change: reaction time: 0.15 ± 0.04 s, p = 0.003; systolic BP: 6 ± 17 mmHg, p = 0.012). No significant differences were found in other variables. Reaction time and vascular response to exercise were significantly affected by sleep deprivation in university students, whilst other cognitive and cardiopulmonary measures showed no significant changes. These findings indicate that acute sleep deprivation can have an impact on physical but not cognitive ability in young healthy university students. Further research is needed to identify mechanisms of change and the impact of longer term sleep deprivation in this population.

Background and Aims: This systematic review and meta-analysis aimed to determine whether the use of therapeutic drug monitoring (TDM) in inflammatory bowel disease (IBD) patients on anti-tumour necrosis factor (anti-TNF) therapy results in improved rates of clinical and endoscopic remission, surgery, corticosteroid-free remission and hospitalisation. Methods: MEDLINE, EMBASE, EMBASE classic, PubMed, Cochrane central databases register of controlled trials and Cochrane Specialised Trials Register were searched between 01 Janurary 1946 and 08 April 2022. Randomised controlled trials (RCTs) and prospective and retrospective observational studies were included, comparing TDM to standard of care (SOC) or reactive vs proactive TDM. Results were reported as pooled relative risks (RR) with 95% confidence intervals (95% CI).Results: Twenty-six studies, including 9 RCTs, were included. Compared to SOC, proactive TDM was associated with a significantly decreased risk of treatment failure (RR 0.64, 95% CI 0.48-0.85 p<0.01), and a non-significant decrease in need for surgery (RR 0.51, 95% CI 0.25-1.02) and hospitalisation (RR 0.64, 95% CI 0.40-1.00).Furthermore compared to SOC, Proactive TDM was associated with higher rates of endoscopic remission (RR 1.19,) and clinical remission (RR 1.07, 95% CI 0.97-1.18). Compared to reactive TDM, proactive TDM was associated with significant decreased risk of treatment failure (RR 0.46, 95% CI 0.21 = 0.98, p = 0.04) and significant reduction in hospitalisation (RR 0.33, 95% CI 0.21-0.54, p < 0.01).Conclusions: Compared to SOC, proactive TDM was associated with significant benefit in reducing treatment failure. Compared to reactive TDM, proactive TDM led to a significant reduction in hospitalisation and treatment failure. More studies with larger RCTs and standardised assays are needed to substantiate these results and validate the cost-effectiveness of TDM.