Background: Artificial intelligence (AI) is increasingly used in medical care, particularly in the areas of image recognition and processing. While its practical use in other areas is still limited, an understanding of patients’ needs is essential for the practical and sustainable implementation of AI, which could further acceptance of new innovations. Objective: The objective of this study was to explore patients’ perceptions toward acceptance, challenges of implementation, and potential applications of AI in medical care. Methods: The study used a qualitative research design. To capture a broad range of patient perspectives, we conducted semistructured focus groups (FGs). As a stimulus for the FGs and as an introduction to the topic, we presented a video defining AI and showing 3 potential AI applications in health care. Participants were recruited from different locations in the regions of Halle (Saale) and Erlangen, Germany; all but one group were from outpatient settings. We analyzed the data using a content analysis approach. Results: A total of 35 patients (13 female and 22 male; age: range 23-92, median 50 years) participated in 6 focus groups. They highlighted that AI acceptance in medical care could be improved through user-friendly applications, clear instructions, feedback mechanisms, and a patient-centered approach. Perceived key barriers included data protection concerns, lack of human oversight, and profit-driven motives. Perceived challenges and requirements for AI implementation involved compatibility, training of end users, environmental sustainability, and adherence to quality standards. Potential AI application areas identified were diagnostics, image and data processing, and administrative tasks, though participants stressed that AI should remain a support tool, not an autonomous system. Psychology was an area where its use was opposed due to the need for human interaction. Conclusions: Patients were generally open to the use of AI in medical care as a support tool rather than as an independent decision-making system. Acceptance and successful use of AI in medical care could be achieved if it is easy to use, adapted to individual characteristics of the users, and accessible to everyone, with the primary aim of enhancing patient well-being. AI in health care requires a regulatory framework, quality standards, and monitoring to ensure socially fair and environmentally sustainable development. However, the successful implementation of AI in medical practice depends on overcoming the mentioned challenges and addressing user needs.

Given the long duration of the COVID-19 pandemic, monitoring mental health remains important. This study aimed to determine (1) the prevalence of anxiety and depressive symptoms among university students 20 months after the first COVID-19 restrictions and (2) which factors were associated with these outcomes. The cross-sectional COVID-19 German Student Well-being Study (C19 GSWS) collected data of 7025 students at five German universities. Associations between anxiety and depressive symptoms with sociodemographic and other factors were analysed using multivariable logistic regression models. The mean age of the participants was 23.9 years (SD = 4.9), 67 % were female and 31 % male. The prevalence for depressive symptoms was 29 % (PHQ-2) and 12 % (CES-D 8) and 32 % for anxiety. A complicated relationship status, the lack of a trusted person, and financial difficulties were associated with anxiety and depressive symptoms. University students who were worried about (re-) infection with COVID-19 had a 1.37-times higher chance for reporting anxiety (GAD-2: OR, 95 % CI: 1.09–1.71). Those with pre-existing cardiovascular health conditions had an up to 3.21-times higher chance for reporting depressive symptoms (OR, CESD-D 8, 95 % CI: 1.44–7.14). The study design is cross-sectional and uses self-reported outcomes. Concepts for prevention and counselling to tackle mental health problems in students are needed and programmes should take specific stressors related to the pandemic into account.

Factors influencing the increasing prevalence of overweight/obesity among children and adolescents in sub-Saharan Africa remain unclear. We assessed the prevalence and determinants of overweight and obesity and effects on cardio-metabolic profile in school learners in the Western Cape, South Africa. Cross-sectional data were collected from 7 to 18-year-old South African school learners attending 14 schools, randomly selected from 107 government schools in the areas. The learners were selected through stratified random sampling techniques. Logistic regressions were used to assess the determinants of overweight/obesity and its association with cardio-metabolic profile. Among the 1559 participants, the overall prevalence of overweight/obesity was 22.9%. Being a girl (Odds ratio 2.51, 95% CI: 1.92–3.29), or Black African (1.35, 1.04–.75) was associated with increased odds of being overweight/obese. The identified health consequences among the overweight/obese learners differed between the ethnic groups. Overweight/obese coloured (mixed ancestry) learners were more likely to have hypertension (3.27, 1.18–9.08), hypertriglyceridemia (1.94, 0.99–3.78) and low high-density lipoprotein cholesterol (HDL-C) (3.65, 2.33–5.72), overweight/obese Black African learners had higher odds for hypertension (3.62, 1.31–10.04) and low HDL-C (1.56, 1.01–2.40) and overweight/obese White learners were prone to low HDL-C (5.04, 1.35–18.80). Overweight/obesity is highly prevalent among school learners in Western Cape (South Africa), with being female or Black African increasing the odds. That overweight/obesity is also associated with adverse cardio-metabolic risk profile aggravates the problem and suggests worse cardiovascular outcomes in South African young adults in the future.

Background: The COVID-19 pandemic has had a major impact on students’ financial situation as well as on their mental health. Aim: To examine the reported change in the financial situation of German university students before and across two time points of the COVID-19 pandemic and to evaluate its associations with anxiety and depressive symptoms. Methods: We used data from the cross-sectional COVID-19 German Student Well-being Study conducted at five German universities (N = 7203). Linear regression models were used to analyze associations between a reported change in financial situation and anxiety and depressive symptoms. Results: Twenty-eight percent of the participants reported to have a worsened financial situation at the time of the survey compared to the time prior to the pandemic. A worsened financial situation at the time of the survey as compared to prior to the pandemic was associated with higher levels of anxiety and depressive symptoms reported in all three depression and anxiety scales [a 1.46 point increase on the CES-D 8 scale (95% confidence interval (CI): 1.19; 1.73), a 0.37-point increase in PHQ-2 (95% CI: 0.28; 0.46), and a 0.45-point increase in GAD-2 (95% CI: 0.35; 0.55)]. An improved financial situation, on the other hand, was associated with lower levels of anxiety and depressive symptoms. As for the second change, comparing the current financial situation with the situation during the first wave of the pandemic, the associations with anxiety and depressive symptoms were broadly similar. Conclusion: Our findings suggest that students are a vulnerable population in need of mental and financial support during times of crisis. Future research is needed to obtain insights into potential long-term effects of the pandemic on students’ mental health.

University students are generally vulnerable to mental health problems. This was exacerbated during the COVID-19 pandemic, when students experienced decisive changes and restrictions in their academic lives. Our study aimed at (a) analysing associations between study conditions and symptoms of depression and anxiety and (b) determining the extent of use and motivation to use student counselling services. The C19 GSWS is a cross-sectional study conducted at five universities in Germany (N = 7203). Descriptive analyses and linear regression models were performed to estimate the associations between study conditions and mental health outcomes. A total of 42.4% of the students felt down, depressed, or hopeless on several days over the past 14 days. Between a third and 44.1% of the students felt burdened by their study conditions. Worse perceived study conditions were associated with higher levels of depressive symptoms and anxiety. Only 7.1% indicated that they had utilised student counselling services, and female gender, enrolment in a bachelor’s programme, and having more than 1 reason for utilisation were factors associated with use. The results of our research underline the need for universities to review their study conditions and to provide targeted intervention strategies and counselling services to promote students’ mental well-being.

Despite the proximity of both countries, Danes and Germans differ in the level of trust in their government. This may play a role with respect to the disruptive impact of the COVID-19 pandemic on university students. This study investigated the association between trust in governmental regulations, trust in university regulations, risk perceptions, and academic frustration among Danish and German students. As part of the COVID-19 International Student Well-being Study, an online survey was distributed among university students in participating European and non-European universities. In Denmark, 2945 students and Germany, 8725 students responded to the questionnaire between May and July 2020. Students from both countries reported approximately the same level of academic frustration concerning their progress and quality of education. However, German students perceived a higher risk of contracting SARS-CoV-2 compared to Danish respondents. Danish students showed higher trust in their government’s COVID-19 regulations than German students. Lower trust in government and university COVID-19 regulations and higher risk perception were associated with higher academic frustration. These results indicate that the level of trust in COVID-19 regulations might have an impact the overall frustration of students regarding their study conditions.