Evidence is limited regarding the relationship among physical activity, anxiety, and oral health in Chinese university students. This cross-sectional investigation aimed to assess the potential relationship between physical activity, anxiety, and oral health conditions among university students in China.

An online questionnaire measuring physical activity, anxiety status, and oral health condition was completed by 1604 university students. The International Physical Activity Questionnaire Short Form (IPAQ-SF) and Generalized Anxiety Disorder-7 (GAD-7) were selected to evaluate physical activity and anxiety, respectively. Oral health condition was assessed through several self-reported variables, including self-reported toothache, gingival bleeding, frequency of tooth brushing, and use of dental floss. Multivariate logistic regression was performed to analyze the underlying relationship between outcome variables. The control variables included age, height, weight, gender, whether only one-child, education level, parental education level, smoking status, drinking habits, and length of sleep. Path analysis was conducted to disentangle the association between physical activity, anxiety, and oral health conditions.

Among 1604 university students, 666 (41.5 %) were males and 938 (58.5 %) were females, with an average of 21.9 ± 2.8 years. Only 833 (51.9 %) reported sufficient physical activity, while 684 (42.6 %) of the subjects displayed varying degrees of anxiety. Self-reported gingival bleeding was associated with insufficient physical activity (OR = 1.25; 95%CI: 1.02-1.55), anxiety (OR = 0.45; 95%CI: 0.27-0.74), frequency of tooth brushing (OR = 0.75; 95%CI: 0.60-0.95) and use of dental floss (OR = 0.75; 95%CI: 0.59-0.96), while toothache was not directly influenced by the physical activity and anxiety among university students. Anxiety markedly mediated the relationship between physical activity and oral health conditions.

Anxiety was considered a factor associated with the level of physical activity, tooth brushing habits, and self-reported gingival bleeding among university students. Further investigations are required to elucidate whether oral health conditions could be enhanced through the improvement of anxiety and physical activity.

The worldwide prevalence of anxiety disorders among college students is high, which negatively affects countries, schools, families, and individual students to varying degrees. This paper reviews the relevant literature regarding risk factors and digital interventions for anxiety disorders among college students from the perspectives of different stakeholders. Risk factors at the national and societal levels include class differences and the coronavirus disease 2019 pandemic. College-level risk factors include the indoor environment design of the college environment, peer relationships, student satisfaction with college culture, and school functional levels. Family-level risk factors include parenting style, family relationship, and parental level of education. Individual-level risk factors include biological factors, lifestyle, and personality. Among the intervention options for college students' anxiety disorders, in addition to traditional cognitive behavioral therapy, mindfulness-based interventions, psychological counseling, and group counseling, digital mental health interventions are increasingly popular due to their low cost, positive effect, and convenient diagnostics and treatment. To better apply digital intervention to the prevention and treatment of college students' anxiety, this paper suggests that the different stakeholders form a synergy among themselves. The nation and society should provide necessary policy guarantees, financial support, and moral and ethical supervision for the prevention and treatment of college students' anxiety disorders. Colleges should actively participate in the screening and intervention of college students' anxiety disorders. Families should increase their awareness of college students' anxiety disorders and take the initiative to study and understand various digital intervention methods. College students with anxiety disorders should actively seek psychological assistance and actively accept and participate in digital intervention projects and services. We believe that in the future, the application of methods such as big data and artificial intelligence to improve digital interventions and provide individualized treatment plans will become the primary means of preventing and treating anxiety disorders among college students.

College students are particularly at risk of depression and anxiety. These disorders have a serious impact on public health and affect patients' daily lives. The potential for using smartphones to monitor these mental conditions, providing passively collected physiological and behavioral data, has been reported among the general population. However, research on the use of passive smartphone data to monitor anxiety and depression among specific populations of college students has never been reviewed.

This review's objectives are (1) to provide an overview of the use of passive smartphone data to monitor depression and anxiety among college students, given their specific type of smartphone use and living setting, and (2) to evaluate the different methods used to assess those smartphone data, including their strengths and limitations.

This review will follow the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Two independent investigators will review English-language, full-text, peer-reviewed papers extracted from PubMed and Web of Science that measure passive smartphone data and levels of depression or anxiety among college students. A preliminary search was conducted in February 2022 as a proof of concept.

Our preliminary search identified 115 original articles, 8 of which met our eligibility criteria. Our planned full study will include an article selection flowchart, tables, and figures representing the main information extracted on the use of passive smartphone data to monitor anxiety and depression among college students.

The planned review will summarize the published research on using passive smartphone data to monitor anxiety and depression among college students. The review aims to better understand whether and how passive smartphone data are associated with indicators of depression and anxiety among college students. This could be valuable in order to provide a digital solution for monitoring mental health issues in this specific population by enabling easier identification and follow-up of the patients.

PROSPERO CRD42022316263; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=316263.

DERR1-10.2196/38785.

In the ongoing situation, when the world is dominated by coronavirus disease 2019 (COVID-19), the development of self-care programs appears to be insufficient, while their role in mental health may be crucial. The aim of the study was to evaluate the associations between self-care activities and depression in the general Slovak population, but also in its individual gender and age categories. This was achieved by validating the self-care screening instrument, assessing differences, and evaluating the associations using quantile regression analysis. The final research sample consisted of 806 participants [males: 314 (39%), females: 492 (61%)] and data were collected through an online questionnaire from February 12, 2021 to February 23, 2021. Patient Health Questionnaire (PHQ-9) for depression (α = 0.89) and Self-Care Activities Screening Scale (SASS-14) [health consciousness (HC) (α = 0.82), nutrition and physical activity (NPA) (α = 0.75), sleep quality (SLP) (α = 0.82), and interpersonal and intrapersonal coping strategies (IICS) (α = 0.58)] were used as screening measures. Mild depressive symptoms were found in 229 participants (28.41%), moderate depressive symptoms in 154 participants (19.11%), moderately severe depressive symptoms in 60 participants (7.44%) and severe depressive symptoms in 43 participants (5.33%). The main findings revealed the fact that individual self-care activities were associated with depression. This supported the idea that well-practiced self-care activities should be an immediate part of an individual's life in order to reduce depressive symptoms. Sleep quality played an important role, while HC indicated the need for increased attention. Other dimensions of self-care also showed significant results that should not be overlooked. In terms of depression, females and younger individuals need targeted interventions. The supportive educational intervention developed based on the self-care theory can help manage and maintain mental health during a stressful period, such as the COVID-19 pandemic. Health policy leaders should focus on health-promoting preventive self-care interventions, as the demand for them increases even more during the pandemic.

This cross-sectional study explores the serial multiple mediation of the correlation between internet addiction and depression by social support and sleep quality of college students during the COVID-19 epidemic.

We enrolled 2,688 students from a certain university in Wuhu, China. Questionnaire measures of internet addiction, social support, sleep quality, depression and background characteristics were obtained.

The prevalence of depression, among 2,688 college students (median age [IQR]=20.49 [20.0, 21.0] years) was 30.6%. 32.4% of the students had the tendency of internet addiction, among which the proportion of mild, moderate and severe were 29.8%, 2.5% and 0.1%, respectively. In our normal internet users and internet addiction group, the incidence of depression was 22.6% and 47.2%, respectively. The findings indicated that internet addiction was directly related to college students' depression and indirectly predicted students' depression via the mediator of social support and sleep quality. The mediation effect of social support and sleep quality on the pathway from internet addiction to depression was 41.97% (direct effect: standardized estimate=0.177; total indirect effect: standardized estimate=0.128). The proposed model fit the data well.

Social support and sleep quality may continuously mediate the link between internet addiction and depression. Therefore, the stronger the degree of internet addiction, the lower the individual's sense of social support and the worse the quality of sleep, which will ultimately the higher the degree of depression. We recommend strengthening monitoring of internet use during the COVID-19 epidemic, increasing social support and improving sleep quality, so as to reduce the risk of depression for college students.

The objective of the study was to examine the effects of perceived stress on depression and subsequently to examine the effects of depression on alcohol use disorders. The data were obtained by an electronic questionnaire survey during the coronavirus disease 2019 (COVID-19) pandemic (n = 1523 Slovak university students). Descriptive, regression, and correlation analysis were used in the analytical processing, while the analyses included students' scores in three diagnostic tools (Perceived Stress Scale (PSS), Patient Health Questionnaire for depression (PHQ 9), and Alcohol Use Disorders Identification Test (AUDIT)), as well as gender and income characteristics. The PSS identified an increased level of perceived stress in female students, while in contrast, the AUDIT showed an increased level of alcohol use disorders in male students. Differences in mental and behavioural disorders between the gender and income categories were significant in most of the analysed cases. In terms of gender-income characteristics, it was possible to confirm a significant positive effect of the PSS score on the PHQ 9 score, as well as a significant positive effect of the PHQ 9 score on the AUDIT score. As a result, efforts to reduce stress will be reflected in a reduction of depressive disorders as well as a reduction of excessive alcohol consumption among students.