Associations of problematic smartphone use with depressive symptoms and suicidal ideation in university students before and after the COVID-19 outbreak: A meta-analysis.

BACKGROUND AND AIM: Problematic smartphone use (PSU) has been suggested to present with depressive symptoms and suicidal ideation (SI) as well as sleep disturbance, lack of social support, and emotional isolation. The aim of this systematic review and meta-analysis was to evaluate the association between PSU with depressive symptoms and SI in university students, and to determine the potential influence of the coronavirus disease 2019 (COVID-19) outbreak. METHODS: Observational studies pertinent to our research were identified through comprehensive searches of the PubMed, Embase, Cochrane Library, and Web of Science databases. To account for potential heterogeneity, the random-effects models were employed to aggregate the findings. RESULTS: Eighteen datasets from 17 case-control studies, including 24,019 university students, were included. Among them, 8,775 (36.5 %) had PSU. A higher prevalence of depressive symptoms (odds ratio [OR]: 2.40, 95 % confidence interval [CI]: 2.19 to 2.63, p < 0.001; prediction interval: 1.95 to 2.96) was observed in university students with higher scores for PSU measures. A subgroup analysis showed a stronger association between PSU and depressive symptoms after the COVID-19 outbreak as compared to that before the outbreak (OR: 2.76 versus 2.16, p for subgroup difference = 0.002), which explained the heterogeneity. The association between PSU and depressive symptoms in university students was similar to those reported in studies from China and other countries, and in studies with different quality scores. Finally, a meta-analysis of three studies suggested that PSU was also associated with the prevalence of SI (OR: 2.18, 95 % CI: 1.77 to 2.68, p < 0.001; I2 = 0 %). CONCLUSION: In university students, PSU may be a risk factor for depressive symptoms and SI, and the association between PSU and depressive symptoms became stronger after the COVID-19 outbreak.

Longitudinal study on anxiety and intolerance of uncertainty among Chinese college students / 中国学校卫生

Objective@#To explore the longitudinal changes and related predictive factors of anxiety and intolerance of uncertainty (IU) among Chinese college students, so as to provide theoretical reference for promoting students mental health.@*Methods@#Intolerance of Uncertainty Scale-short Form and the 7 item Generalized Anxiety Disorder Scale were administered among 5 683 students from 22 universities in Guangdong Province from September 10 to October 17, 2021 (T1, baseline survey), and from March 15 to April 22, 2023 (T2). Using paired sample t-test to analyze the changes in anxiety and IU among college students, a linear regression model was established to explore factors that can predict anxiety, IU and their changes during T1 and T2 periods.@*Results@#During the T1 period, the average scores of anxiety and IU among college students were (3.26±3.46, 34.88±7.96), while during the T2 period, they were (4.41±4.16, 36.40±8.07). During the T2 period, the levels of anxiety and IU among college students were higher than those during the T1 period ( t=19.59, 13.67, P <0.01). The linear regression results showed that age ( B = -0.02 ), moderate ( B =-0.18) and poor ( B =-0.88) mental health status, as well as online browsing of Corona Virus Disease 2019 (COVID-19) epidemic (later called as epidemic) related information for >1-<3 hours ( B =-0.30) and ≥3 hours ( B =-0.22), all of which could negatively predict changes in anxiety during T1 to T2 periods. Living in rural areas ( B =0.11) could positively predict changes in anxiety during T1 to T2 periods ( P <0.05). Moderate ( B =-0.19) and poor ( B =-0.47) mental health status, browsing epidemic related information online for >1-<3 hours ( B =-0.32) and ≥3 hours ( B =-0.33), academic performance being moderately affected by the epidemic ( B =-0.10), and personal planning being moderately affected by the epidemic ( B =-0.13) and severely affected ( B =-0.22), all of which could negatively predict changes in IU during T1 to T2 periods ( P <0.05).@*Conclusions@#Levels of anxiety and intolerance of uncertainty increases significantly after epidemic. Mental health status of college students should need long term monitoring, and students with poor mental health should need special attention.

The Psychological Impact of the COVID-19 Epidemic on Guangdong College Students: The Difference Between Seeking and Not Seeking Psychological Help.

BACKGROUND: Coronavirus disease 2019 (COVID-19) has considerably psychologically impacted Chinese college students. Several types of online mental health services were widely implemented for college students during the outbreak. This study investigated the relationship between college students' mental health status and psychological help-seeking behavior to test the phases-decision-making model (PDM). METHODS: A cross-sectional survey was conducted among college students in Guangdong Province using an online platform. In total, 4,164 students were assigned to the "counseling group" or "non-counseling group" according to whether they had sought psychological help because of the COVID-19 outbreak; the groups were matched based on age, sex, and grade. Demographics, perceived mental health, and experience with seeking psychological help were recorded. Fear, depression, and trauma were assessed by the COVID-19 Fear Screening Scale, Patient Health Questionnaire, and Impact of Event Scale-6. RESULTS: The fear, depression, and trauma scores were significantly higher in the counseling group than in the non-counseling group (P s < 0.001). Fear (OR = 1.27, p < 0.001), depression (OR = 1.02, p = 0.032), trauma (OR = 1.08, p < 0.001), poor perceived mental health status (OR = 3.61, p = 0.001), and experience with seeking psychological help (OR = 7.06, p < 0.001) increased the odds of seeking psychological help. CONCLUSION: During the COVID-19 epidemic, the rate of psychological help-seeking was still low, and college students in poor psychological condition sought psychological counseling more. Fear, depression, trauma, experience with seeking psychological help, and perceived mental health can effectively predict psychological help-seeking behavior. These findings emphasized the importance of closely monitoring college students' psychological status, providing psychological intervention, and improving the probability of seeking psychological help.

COVID-19 in Guangdong: Immediate Perceptions and Psychological Impact on 304,167 College Students.

The outbreak of COVID-19 has brought unprecedented psychological pressure to people across China and more widely across the entire globe. The aim of this study was to assess the immediate perceptions of COVID-19 among college students in Guangdong Province, China, and to assess the psychological impact of the outbreak. We conducted a cross-sectional survey of college students via online questionnaires between February 13th and February 22nd, 2020. A total of 304,167 students completed the Impact of Event Scale 6 (IES-6) and other items. The results showed that 155,077 (50.9%) of the students reported stress symptoms, 1,565 (0.5%) reported poor mental health, and 9,752 (3.2%) reported poor sleep quality. Analysis indicated that the students' perceptions of COVID-19 were correlated with psychological stress, self-perceived mental health and sleep quality. Moreover, the analysis revealed that the relationship between types of perception and levels of stress symptoms varied according to the students' demographic characteristics. These findings allow us to better understand psychological stress among students and the factors influencing stress during the COVID-19 outbreak. Understanding these factors will help us to design intervention programs with the aim of alleviating stress among students and reducing the potential for developing psychological disorders.