Association between sleep quality and psychological symptoms: A cross-sectional survey of Chinese university students performed during the COVID-19 pandemic.

Background: Since the start of the coronavirus 2019 pandemic, people have faced many challenges, including in relation to sleep quality and psychological health. This study aims to analyze the association between sleep quality and psychological symptoms among university students in China, and to provide reference data to facilitate the development of interventions to improve the physical and mental health of university students. Methods: A stratified cluster sampling method was used to investigate the sleep quality and psychological symptoms of 6,363 university students in China. The Chi-square test was used to analyze differences in sleep quality among groups. Logistic regression analysis was used to analyze the association between sleep quality and psychological symptoms. Results: The proportions of Chinese university students with good, medium, and poor sleep quality were 25.73, 10.99, and 63.28%, respectively. The overall rate of psychological symptoms was 16.5%. Logistic regression analysis showed that, in general, university students with poor sleep quality had a higher risk of psychological symptoms than those with good sleep quality (OR = 1.53, 95%CI: 1.28, 1.84, p < 0.01). Compared with university students with good sleep quality, those with poor sleep quality were more likely to experience emotional symptoms (OR = 1.62, 95%CI: 1.36, 1.94), behavioral symptoms (OR = 1.55, 95% CI: 1.3, 1.84), and difficulties with social adaptation (OR = 1.84, 95% CI: 1.51, 2.25) (all p < 0.01). Conclusion: There was an association between sleep quality and psychological symptoms among Chinese university students. University students with poor sleep quality have a higher risk of psychological symptoms. Measures should be taken to improve the sleep quality of university students and reduce the incidence of psychological symptoms. This study provides reference data for government and education departments that could inform public health policies.

Association of sugar-sweetened beverage consumption with psychological symptoms among Chinese university students during the COVID-19 pandemic.

Background: Mental health of college students has become a public health issue of common concern worldwide. Especially during the COVID-19 pandemic, the problem has become even more acute. The aim of this study was to assess the association between sugar-sweetened beverages (SSB) consumption and psychological symptoms among Chinese college students in order to promote their mental health. Methods: The study population was 6,120 college students aged 19-22 years from Anhui, Henan and Xinjiang, China. Basic demographic information, covariates and SSB Consumption data were collected through a self-assessment questionnaire. The "Multidimensional Sub-health Questionnaire of Adolescents" was used to assess the psychological symptoms of college students. The Chi-square test, one-way ANOVA and logistic regression analysis were used to investigate the differences and associations between SSB consumption and psychological symptoms among Chinese college students. Results: The detection rate of psychological symptoms among Chinese college students was 8.1%. The detection rate of boys students was 9.4% and that of girls students was 7.1%, and the difference was statistically significant in comparison (χ 2-value was 11.08, p < 0.001). After controlling for covariates, Model 2 analysis showed that compared to SSB consumption <2 time/week, college students with SSB consumption ≥2 time/week (OR = 2.96, 95% CI: 2.36, 3.70) had a higher risk of psychological symptoms (p < 0.001). The same trend was found for emotional symptoms, behavioral symptoms, and social adaptation difficulties dimensions. Conclusion: There is an association between SSB consumption and the occurrence of psychological symptoms among Chinese college students. Future measures should be taken to reduce both SSB consumption and the incidence of psychological symptoms.

Association between Sleep Quality and Depression Symptoms in Chinese College Students during the COVID-19 Lockdown Period.

BACKGROUND: The outbreak of COVID-19 has seriously threatened the health of people around the world. To prevent the spread of the epidemic, Chinese universities have implemented closed management of campuses. The implementation of restrictive measures has gradually caused changes in the quality of sleep and the psychological state of college students. In addition, college students are faced with the dual pressure of employment and study, and the psychological pressure is huge. Therefore, it is necessary to investigate sleep and depressive symptoms among college students. METHODS: Using the method of stratified cluster sampling, 6695 college students were selected from three universities in Jiangxi, Anhui, and Xinjiang provinces from April to May 2022. The Chinese version of the Pittsburgh sleep quality index (PSQI) and the self-rating depression scale (SDS) were used for the survey. Hierarchical logistic regression analysis was used to analyze the relationship between the PSQI and the SDS. RESULTS: Overall, during the outbreak of COVID-19, 69.0% of males and 73.5% of females had poor sleep quality among Chinese college students and the detection rate of depressive symptoms was 43.6% for males and 47.8% for females, respectively. Taking students with good sleep quality as references, after controlling for covariates, hierarchical logistic regression shows that Chinese college students with poor sleep quality have a higher OR value (OR = 12.0, 95%CI: 10.2~14.1, p < 0.001), especially in males (OR = 43.8, 95%CI:30.2~63.6, p < 0.001). For both males and females, the OR value of college students with the following characteristics was higher: rural college students (males, OR = 50.32, 95%CI: 32.50-77.93; females, OR = 8.03, 95%CI: 6.45-9.99), overweight college students (males, OR = 62.17, 95%CI: 19.47-198.53; females, OR = 16.67, 95%CI: 6.48-42.88), and college students drinking sugar-sweetened beverages (males, OR = 59.00, 95%CI: 36.96-94.18; females, OR = 8.16, 95%CI: 6.63-10.05) (p < 0.001). CONCLUSIONS: Poor sleep quality is associated with depressive symptoms among Chinese college students, especially college males. Our research suggests that it is necessary to consider the improvement of sleep quality and depressive symptoms among college students during the COVID-19 epidemic.