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

Hu, Yanyan; Liu, Jingzhi; Zhao, Zhimin; Bi, Chen; Cao, Hongmin; Li, He; Gao, Yang

doi:10.3389/fpsyg.2023.1131176

Cited by 3 publications

(1 citation statement)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A high prevalence of depression, anxiety, and stress among undergraduate students is reported worldwide [2,[5][6][7][8]. In addition, poor sleep quality and excessive daytime sleepiness among undergraduates have been reported [9,10].…”

Section: Introductionmentioning

confidence: 99%

Psychological distress and sleep quality among Sri Lankan medical students during an economic crisis

Liyanage,

Rajapakshe,

Wijayaratna

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

Objectives This study examined the evidence of the prevalence of psychological distress and poor sleep among medical students and its associations during an economic crisis. Design This was a cross-sectional study using an online questionnaire. It included the Depression Anxiety Stress Scales and Pittsburgh Sleep Quality Index (PSQI). Setting and participants This study included medical undergraduates from a large metropolitan university in Sri Lanka. Primary and secondary outcome measures We assessed the prevalence of psychological distress, sleep quality, and factors associated with psychological distress. To evaluate the associations, we used logistic regression. Results The majority (69.2%) had some form of distress (depression, anxiety or stress), while 23% had distress in all three. Anxiety was the most prevalent (50.7%). Poor sleep quality was reported in 41%. The highest contribution to global PSQI was from sleep latency, duration, and daytime dysfunction subscales. In bivariate analysis, sleep quality was directly related to depression (t245.65 = -6.75, p<0.001)., anxiety (t313.45 = -6.45, p <0.001), and stress (t94.22 = -5.14, p <0.001). In multinomial logistic regression models, sleep quality was independently associated with depression, anxiety and stress. In addition, frequent contact with friends was inversely associated with depression and anxiety. Also, social media use was inversely linked to depression, anxiety and stress. Clinical-year students had lower depression and anxiety than non-clinical students. Engaging in mindfulness activities was inversely associated with depression. However, models explained only a moderate amount of variance (Nagelkerke R-squared values were 0.21, 0.18, and 0.13 for depression, anxiety and stress, respectively). Conclusions Poor sleep quality and psychological distress are high among the undergraduates. The findings emphasize the importance of addressing sleep quality and psychological wellbeing in medical undergraduates. Further research with larger and more diverse samples is needed for a more comprehensive understanding of the factors associated with psychological distress among undergraduates.

show abstract

Section: Introductionmentioning

confidence: 99%

Psychological distress and sleep quality among Sri Lankan medical students during an economic crisis

Liyanage,

Rajapakshe,

Wijayaratna

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

show abstract

Patterns of sleep quality and its influence factors: A latent class model among students of medical university in Hubei Province, China

Zhang,

Liu,

Chen

et al. 2024

Journal of Affective Disorders

View full text Add to dashboard Cite

Influence of smartphone addiction on sleep quality of college students: The regulatory effect of physical exercise behavior

Zhu,

Liu,

Lou

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

Due to the high incidence of smartphone addiction and its harmful effects on health in recent years, it has received widespread attention from society. This study aims to examine the association between smartphone addiction and sleep quality among college students, and assess the correlation with physical exercise in a non-interventional, cross-sectional study design. The study utilized data from the 2022 Chinese College Health Tracking Survey. A total of 4670 students participated in and completed the questionnaire. The test tools comprised the smartphone addiction tendency scale, the Pittsburgh Sleep Quality Index, and the physical activity rating scale. The average score of the college students’ smartphone addiction was 39.230±14.931, and the proportion of college students with average and or very poor sleep quality was 52.6%. Mobile phone addiction among college students is negatively correlated with physical exercise (r = -0.101, p<0.01), and positively correlated with sleep quality (r = 0.287, p<0.01. Physical exercise had a significant regulatory effect on the behavior relationship between smartphone addiction and sleep quality (ΔR2 = 0.194, p<0.001). Smartphone addiction has a significant impact on college students’ sleep quality. The higher the tendency towards smartphone addiction, the poorer the sleep quality of college students. Physical exercise plays a regulatory role in the relationship between smartphone addiction and sleep quality of college students.

show abstract

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

Cited by 3 publications

References 33 publications

Psychological distress and sleep quality among Sri Lankan medical students during an economic crisis

Psychological distress and sleep quality among Sri Lankan medical students during an economic crisis

Patterns of sleep quality and its influence factors: A latent class model among students of medical university in Hubei Province, China

Influence of smartphone addiction on sleep quality of college students: The regulatory effect of physical exercise behavior

Contact Info

Product

Resources

About