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Initial studies indicated that student mental health was impaired during the early stages of the pandemic and that maintaining/improving physical activity gave some protection from mental illness. However, as the pandemic persists, these data may not reflect current circumstances and may have been confounded by exam stress. Methods: This study used an online survey to assess the changes in, and associations between, mental health and movement behaviours in 255 UK university students from before the COVID-19 pandemic (October 2019) to 9 months following the UK’s first confirmed case (October 2020). Changes in and associations between mental wellbeing, perceived stress, physical activity, and sedentary behaviour were assessed using a mixed model ANOVA; a multiple linear regression model determined the predictive value of variables associated with Δ mental wellbeing. Results: Mental wellbeing and physical activity decreased (45.2 to 42.3 (p < 0.001); 223 to 173 min/week (p < 0.001)), whereas perceived stress and time spent sedentary increased (19.8 to 22.8 (p < 0.001); 66.0 to 71.2 h/week (p = 0.036)). Δ perceived stress, Δ sedentary behaviour and university year accounted for 64.7%, 12.9%, and 10.1% of the variance in Δ mental wellbeing (p < 0.001; p = 0.006; p = 0.035). Conclusion: The COVID-19 pandemic is having a sustained negative impact on student mental health and movement behaviour.

Background Health-related outcomes and behaviours in university students are known to be poor relative to the general population. The substantial contextual shifts related to the COVID-19 pandemic, combined with increased numbers of students from minoritised ethnicity backgrounds and presenting as trans and gender diverse (TGD), means that up-to-date information is unavailable. The primary aim of this study was therefore to characterise the current movement, dietary and lifestyle behaviours, mental health, and Body Mass Index (BMI) of UK university students and assess differences between genders and ethnic groups. Methods An online, self-report survey was administered across three years (2021–2023). Three independent cohorts of university students’ ( n  = 6,327) completed the survey on four key topic areas. One-way ANOVAs were used to assess differences between genders (men, women, TGD), and independent samples t-tests were used to assess differences between ethnic groups (White, Minoritised Ethnicity). Results 30% of students were not meeting physical activity guidelines, 54% were sedentary for ≥ 6 h·d − 1 , 83% had poor diet quality, 51% were in high or increased risk groups for alcohol consumption, 18% experienced terrible or poor sleep quality, and 32% were overweight or obese. Gender differences were present for all variables other than walking physical activity (WPA) ( P  < 0.05), with men having better mental health and engaging in healthier movement and sleeping behaviours, whereas women had more healthful dietary and drinking behaviours, and TGD students had poorer outcomes compared to cis-gender students in most domains. Differences between White and minoritised ethnicity students were present for all variables other than sedentary behaviour, diet quality, WPA and BMI ( P  < 0.05); students of minoritised ethnicity engaged in better movement, drinking and sleep behaviours in addition to having more positive mental health than White students. Conclusion The findings of the current study provide an update on the landscape of UK university students’ health and health-related behaviours. Overall, health-related outcomes and behaviours are poor in this population and these data suggest that gender and ethnicity play a role in determining students’ health and health-related behaviours. Therefore, these factors should be considered when developing strategies to promote healthy living in the context of higher education.

Historically, university students demonstrate poor movement behaviours that could negatively impact current and future health. Recent literature has focused on identifying determinants of physical activity (PA) and sedentary behaviour (SB) in this population to inform the development of intervention strategies. However, the COVID-19 pandemic substantially restricted movement behaviours in this population, meaning findings of previous research may no longer be applicable within the current societal context. The present study explored the longitudinal relationships between pre-pandemic psychological, behavioural and anthropometric factors, and the movement behaviours of UK university students nine months following the outbreak of COVID-19. Mental wellbeing (MWB), perceived stress (PS), body mass index (BMI), SB, and PA were assessed using an online self-report survey in 255 students prior to (October 2019) and nine months following (October 2020) the first confirmed case of COVID-19 in the UK. Path analysis was utilised to test relationships between pre-COVID mental wellbeing, perceived stress and BMI, and movement behaviours during the pandemic. The fit of the path analysis model was good (χ2 = 0.01; CMIN = 0.10, CFI = 1.00, RMSEA = 0.00). Pre-covid MWB and PS positively influenced PA (β = 0.29; β = 0.24; P < 0.01) but not SB (β = -0.10; β = 0.00; P = 0.79) during the pandemic. Additionally, pre-pandemic SB and PA positively influenced SB and PA during the pandemic respectively (SB: β = 0.26; P < 0.01) (PA: β = 0.55; P < 0.01). Pre-pandemic BMI did not influence any measured variable during the pandemic (PA: β = 0.03 and P = 0.29; SB: β = 0.06 and P = 0.56), and there was no mediating effect of PA on SB during the pandemic (β = -0.26; P = 0.14). These findings indicate that pre-covid mental health and movement behaviours had a direct positive influence on PA during the pandemic, but not SB. This longitudinal study demonstrates the influence that prior psychological and behavioural factors have in determining university students' response to periods of elevated stress and uncertainty, furthering our understanding of determinants of health-related behaviours in students.

Introduction University students are a population notorious for developing adverse markers of health and related behaviours that can have negative consequences for current and future health status. However, there is a dearth of literature devoted to identifying students at greater risk of developing poorer health-related outcomes. The current study aimed to identify characteristics of UK university students at risk of developing adverse markers of health and related behaviours across one year at university. Methods Four hundred and thirty-eight students completed an online self-report survey to assess markers of health and related behaviours in term one (October) and term three (April) in one of three academic years (2021–22, 2022–23, and 2023–24). Latent Profile Transition analysis was employed to generate health-related profiles and assess transitions over time. Results Four latent profiles were detected, largely influenced by physical activity behaviours and psychological markers. The majority of students were identified in profiles considered as less healthy and remained in those profiles over time. Women and trans and gender diverse (TGD) students, and students in their second year at university were at greatest risk of being in, and remaining in, less healthful profiles. Conclusions Most students identify and remain in less healthful profiles throughout the academic year. Students that transition between profiles are more likely to transition to less healthful profiles. Work to develop bespoke interventions aimed at students with higher-risk demographic characteristics should now be prioritised.

Background There are increasing opportunities for healthcare professionals outside medicine to be involved in and lead clinical research. However, there are few roles within these professions that include time for research. In order to develop such roles, and evaluate effective use of this time, the range of impacts of this clinical academic activity need to be valued and understood by healthcare leaders and managers. To date, these impacts have not been comprehensively explored, but are suggested to extend beyond traditional quantitative impact metrics, such as publications, citations and funding awards. Methods Ten databases, four grey literature repositories and a naïve web search engine were systematically searched for articles reporting impacts of clinical academic activity by healthcare professionals outside medicine. Specifically, this did not include the direct impacts of the research findings, rather the impacts of the research activity. All stages of the review were performed by a minimum of two reviewers and reported impacts were categorised qualitatively according to a modified VICTOR (making Visible the ImpaCT Of Research) framework. Results Of the initial 2704 identified articles, 20 were eligible for inclusion. Identified impacts were mapped to seven themes: impacts for patients; impacts for the service provision and workforce; impacts to research profile, culture and capacity; economic impacts; impacts on staff recruitment and retention; impacts to knowledge exchange; and impacts to the clinical academic. Conclusions Several overlapping sub-themes were identified across the main themes. These included the challenges and benefits of balancing clinical and academic roles, the creation and implementation of new evidence, and the development of collaborations and networks. These may be key areas for organisations to explore when looking to support and increase academic activity among healthcare professionals outside medicine. The modified VICTOR tool is a useful starting point for individuals and organisations to record the impact of their research activity. Further work is needed to explore standardised methods of capturing research impact that address the full range of impacts identified in this systematic review and are specific to the context of clinical academics outside medicine.

ObjectivesThe prevalence of adverse cardiometabolic health markers has increased substantially in UK young adults, and university students now make up a significant proportion of this population. Their health-related behaviours are poorer than age-matched normative data, and students’ anthropometric outcomes deteriorate during their university career. The influence of university on cardiometabolic health markers is unclear, and men and students of Minoritised Ethnicity are often under-represented in student health research. This study aimed to determine the prevalence of adverse cardiometabolic health markers in undergraduate university students and assess differences between genders, ethnic groups and year of study.DesignObservational cohort study.SettingA higher education institution in Nottingham, UK.ParticipantsThree independent cohorts of undergraduate university students (total n=1,299) completed five physiological tests and provided demographic information. One-way ANOVAs assessed differences between year of study and ethnic groups, and paired samples t-tests assessed differences between genders.Main outcome measuresBody mass index (BMI), waist circumference, waist to hip ratio (WHR), waist to height ratio (WHtR), blood pressure (BP) and glycated haemoglobin concentrations (HbA1c).Results34.5% had overweight or obesity, 7.6% had a ‘very high’ waist circumference, 11.0% had a high WHR, 25.5% had a high WHtR, 12.7% were classified as hypertensive and 3.0% had an HbA1c ≥42 mmol/mol, indicating impaired glucose regulation. Differences between year groups were present for diastolic BP and HbA1c (p<0.01). Gender and ethnic group differences (p<0.05) were present for all variables other than BMI (gender) and diastolic BP (gender and ethnic group).ConclusionOverall, these data demonstrate the prevalence of adverse cardiometabolic health markers in UK undergraduate university students, highlighting differences between year groups, genders and ethnic groups. These findings should be considered when developing strategies to promote healthy lifestyles in higher education.

ObjectiveTo identify the breadth and range of follow-up interventions currently provided to people after minor stroke with a focus on the definitions used for minor stroke, intervention components, intervention theory and outcomes used. These findings will inform the development and feasibility testing of a pathway of care.DesignScoping review.Search strategyThe final search was run in January 2022. Five databases were searched—EMBASE, MEDLINE, CINAHL, British Nursing Index and PsycINFO. Grey literature was also searched. Title and abstract screening and full-text reviews were conducted by two researchers and a third was involved when differences of opinion existed. A bespoke data extraction template was created, refined and then completed. The Template for Intervention Description and Replication (TIDieR) checklist was used to describe interventions.ResultsTwenty-five studies, using a range of research methodologies were included in the review. A range of definitions were used for minor stroke. Interventions focused largely on secondary prevention and management of increased risk of further stroke. Fewer focused on the management of hidden impairments experienced after minor stroke. Limited family involvement was reported and collaboration between secondary and primary care was seldom described. The intervention components, content, duration and delivery were varied as were the outcome measures used.ConclusionThere is an increasing volume of research exploring how best to provide follow-up care to people after minor stroke. Personalised, holistic and theory-informed interdisciplinary follow-up is needed that balances education and support needs with adjustment to life after stroke.

The global prevalence of early-onset type 2 diabetes (EOT2D) is rising rapidly. Adults with EOT2D represent a high-risk population characterised by increased rates of microvascular and macrovascular complications, adverse psychological wellbeing and psychiatric comorbidities such as depression, and premature mortality compared to those with later-onset type 2 diabetes mellitus. This emerging population faces unique challenges, including high levels of diabetes-related stigma, clinical inertia, and competing life demands, such as starting a family. This review synthesises current evidence on the clinical management of EOT2D. Key therapeutic targets include weight reduction, preservation of β-cell function, cardiometabolic risk management, and psychological support. Overall, there are few randomized controlled trials (RCTs) undertaken specifically in adults with EOT2D. However, we summarise early data from the few RCTs that do report outcomes specific in young adults, with bariatric surgery, tirzepatide and intensive lifestyle interventions emerging as particularly effective treatments. There is a strong rationale that technology-based inventions and structured education programs may prove to be effective treatments but data from RCTs is lacking. We provide broad recommendations for future research and clinical practice based on the current evidence. In conclusion, substantial further research is required to inform tailored, evidence-based guidelines and improve long-term outcomes in this underserved population.

Evangelical Christians are among the most hesitant to get the COVID-19 vaccine. This study examined the extent to which COVID-19 vaccination uptake among Evangelicals is explained by demographic characteristics, Health Belief Model constructs, and faith-based support factors. Survey research firm Qualtrics recruited 531 U.S. adults and conducted a survey to explore predictors of COVID-19 vaccine uptake among people who self-identified as Evangelicals in September 2021. A logistic regression showed that those reporting high perceived benefits of the COVID-19 vaccine were more likely to be vaccinated, while those reporting high perceived barriers were less likely to be vaccinated. Those whose healthcare provider asked them about the vaccine were more likely to be vaccinated than those whose healthcare provider did not ask. Finally, while those who reported information seeking from religious leaders were less likely to be vaccinated, those who reported more faith-based support for vaccination were more likely to be vaccinated. In addition to beliefs about benefits and barriers to vaccination, the role of healthcare providers and clergy were important factors influencing vaccination status. Intervention efforts that capitalize on partnerships between health providers and clergy in supportive congregations may be able to reach undecided Evangelicals.

Understanding local public attitudes toward receiving vaccines is vital to successful vaccine campaigns. Social media platforms may help uncover vaccine sentiments during infectious disease outbreaks at the local level, and whether offline local events support vaccine-promotion efforts. Communication Infrastructure Theory (CIT) served as a guiding framework for this case study of the San Diego region examining local public sentiment toward vaccines expressed on Twitter during the COVID-19 pandemic. We performed a sentiment analysis (including positivity and subjectivity) of 187,349 tweets gathered from May 2020 to March 2021, and examined how sentiment corresponded with local vaccine deployment. The months of November and December (52.9%) 2020 saw a majority of tweets expressing positive sentiment and coincided with announcements of offline local events signaling San Diego’s imminent deployment of COVID-19 vaccines. Across all months, tweets remained mostly objective (never falling below 63%). In terms of CIT, considering multiple levels of the Story Telling Network in online spaces, and examining sentiment about vaccines on Twitter may help scholars to explore the Communication Action Context, as well as cultivate positive community attitudes to improve the Field of Health Action regarding vaccines. Real-time analysis of local tweets during development and deployment of new vaccines may help monitor local public responses and guide promotion of immunizations in communities.