The COVID-19 pandemic led to a shutdown of universities in Germany. In a longitudinal design, we compared mental health (depression, anxiety, somatic complaints) of university students in Germany before (June to August 2019) and in the course of the COVID-19 pandemic (June 2020) and determined the impact of pandemic-related stress and loneliness on students’ mental health in self-report online surveys. We investigated 443 participants (mean age 22.8 years), among them 77% female, and 10.4% medical students. A small increase of depression mean scores was observed (F(1,420) = 5.21; p = .023), anxiety and somatic complaints have not significantly changed. There was a medium increase in loneliness from pre-pandemic scores to the pandemic situation (F(1,423) = 30.56; p < .001). Analyzed with regression analyses, current loneliness and pre-pandemic distress represented the strongest associations with mental health during the pandemic. Additionally, health-related concerns during the pandemic were associated with symptoms of depression [b = 0.21; 95%CI(0.08; 0.34); t = 3.12; p = .002], anxiety [b = 0.07; 95%CI(0.01; 0.12); t = 2.50; p = .013], somatic complaints [b = 0.33; 95%CI(0.18; 0.47); t = 4.49; p < .001], and loneliness [b = 0.10; 95%CI(0.03; 0.17); t = 2.74; p = .006]. Social stress due to the pandemic situation was associated with loneliness [b = 0.38; 95%CI(0.32; 0.45); t = 11.75; p < .001]. The results imply that university students represent a risk group for psychosocial long-term ramifications of the pandemic.

Background: Universities represent an important setting for health promotion. The unique collective of university students is of particular relevance since they are the leaders, decision-makers, and parents of tomorrow. In this context, modifiable health influencing factors as well as interventions to prevent these, play a crucial role. Therefore, the present umbrella review aims to (i) provide an overview of review articles addressing epidemiological issues (prevalence and determinants) of modifiable health influencing factors in university students and (ii) to provide an overview of review articles addressing the evidence of interventions to promote/enhance modifiable health influencing factors in university students. Methods: A systematic literature search was performed in the databases PubMed, Cochrane Reviews Library und Web of Science according to the PRISMA guidelines. Only systematic reviews and meta-analyses were included. The AMSTAR-2-Tool was used for the quality assessment. Result: The initial search resulted in 10,726 records of which 81 fulfilled the inclusion criteria, with a further distinction in articles with an epidemiological focus (n = 39) and in articles with interventional approaches (n = 42). Topics of the different review articles ranged from physical activity over mental health, substance use, sleep, diet and nutrition, and media consumption. Many review articles had a specific focus on medical and nursing students and originated from the U.S.A., U.K., or China. Discussion: This umbrella review provides an overview of review articles on the epidemiology of modifiable health influencing factors and on the evidence of interventions targeting these factors among university students. Thereby, experts as well as stakeholders in the field could gain insights into crucial target points for health promotion. It identifies research gaps in terms of study region and groups of students.

Health information-seeking behavior is the process of gathering information about health and disease and can be influential for health-related perception and behavior. University students are an important target group for prevention and health promotion and largely belong to an age group that is considered to play a leading role in propagating the SARS-CoV-2 epidemic in Germany. The paper deals with students' health information-seeking behavior before and during the corona crisis, aiming to give insights into its determinants and implications. Using the example of a large German comprehensive university and based on two cross-sectional surveys in the summer of 2019 (n = 4,351) and 2020 (n = 3,066), we investigate which information channels students use for health information, how information seeking changes during the course of the pandemic, and to what extent information seeking is associated with risk perception and risk behavior. For a subsample of participants that participated in both surveys (n = 443), we also trace developments at the individual level through a longitudinal analysis. The results show that students' health information seeking takes place primarily online and changed markedly during the corona crisis. The comparatively high relevance of sources that are largely based on unchecked user-generated content raises the concern whether students' health information-seeking behavior guarantees the necessary quality and reliability of health information. Significant correlations between the intensity of corona-related information seeking, risk perception, and actual risk behavior were found.

Background: Universities represent an important setting of everyday life for health promotion. The Healthy Campus Mainz project aims to develop an evidence-based and comprehensive student health management program covering physical, mental, and social health promotion. Hence, an initial health survey was performed in order to identify the students' health concerns and resources. Up until now, it remains unclear which topics to choose in a health survey among university students and which strategies can be recommended to receive an acceptable response rate or representative student sample within a university setting. The present paper contributes to the call for the present research topic “Public Health Promotion in University Students” by describing methods for health assessment. Therefore, the current paper aims to give an empirical example on how to perform a health survey among university students, focusing on (1) choosing topics for the survey and (2) methodological considerations of how to reach the target population.Methods: An online questionnaire including around 270 items was developed covering a comprehensive set of health topics. Participants were recruited via the university email. Mixed channels for survey promotion, such as lecture visits and social media, were used, accompanied by different monetary and non-monetary incentives. Descriptive analyses were performed to describe the sample.Results: A total of 5,006 participants (out of 31,213 registered students) viewed the first page of the questionnaire; of whom, 4,714 continued further. After a manual data cleaning according to the predefined criteria, the final sample was 4,351, demonstrating a response rate of 13.9%. Students from different study disciplines participated. However, some study disciplines showed a low participation rate, hence, making the results not free from some bias.Discussion: This survey is exceptional as it integrates a great variety of health aspects. The incentive strategy demonstrated promising results. Future research should try to improve target-group-specific recruitment strategies for the traditionally underrepresented groups, such as males and specific study disciplines. This would not only include advancing marketing strategies, but also refining the incentive strategy.

BackgroundPhysical inactivity and sedentary behavior are modifiable risk factors for an unhealthy lifestyle in university students. The aim of this study was to identify subgroups among German university students with an increased risk for unhealthy behavior. For this purpose, differences in physical activity and sedentary behavior with respect to sociodemographic and study related factors were examined.MethodsA total of 4,351 students participated in an online survey. The amount of physical activity (metabolic equivalent of task-min/week) and the sitting time (h/day) were assessed using the German short form of the International Physical Activity Questionnaire. Differences in gender and age as well as field of study, targeted degree and study semester were analyzed using a single factorial ANOVA with Tukey correction or a Welch-ANOVA with Games-Howell correction.ResultsFor physical activity, significant differences were found for gender (F(2, 80.46) = 17.79, p &lt; 0.001, ηp2 = 0.009), for field of study (F(5, 1738.09) = 7.41, p &lt; 0.001, ηp2 = 0.01), and for study semester (F(1, 948.12) = 5.53, p &lt; 0.05, ηp2 =0.001), but not for age and targeted degree (p &gt; 0.05). For sedentary behavior, significant differences were found for field of study (F(5, 3816) = 5.69, p &lt; 0.001, ηp2 = 0.01) and targeted degree (F(3, 3868) = 3.94, p &lt; 0.01, ηp2 = 0.003), but not for gender, age and study semester (p &gt; 0.05).ConclusionFemale students, students enrolled in “natural sciences, mathematics and informatics” and first year students appear to have an increased risk of an unhealthy lifestyle. Future research should identify barriers to and incentives of physical activity as well as reasons for high amounts of SB in sub-populations of university students. Suitable prevention and intervention programs are necessary.