Dataset Information

Psychological resilience mediates the association between sleep quality and anxiety symptoms: A repeated measures study in college students.

ABSTRACT:

Objective

To explore the association between sleep quality and anxiety symptoms, and the mediation effect of psychological resilience on this association by a repeated measures study.

Methods

In this study, 127 college students were randomly recruited and their sleep quality and psychological status were repeatedly collected using the Pittsburgh Sleep Quality Index (PSQI) scale, Connor-Davidson resilience scale (CD-RISC), and 7-items generalized anxiety disorder scale (GAD-7). Linear mixed-effects models were used to explore the association between sleep quality and anxiety symptoms, and a mediated effects analysis was used to explore the role played by psychological resilience in this association.

Results

This study found a positive association between sleep quality and anxiety symptoms (β = 0.40, 95% confidence interval: 0.27, 0.52). Psychological resilience scores and its various dimensions play a significant mediating role in this association.

Conclusions

Although the role of sleep quality in anxiety disorders is not fully understood, this study highlights the importance of improving sleep quality while enhancing psychological resilience to prevent the onset of anxiety symptoms in college students.

SUBMITTER: Cai H

PROVIDER: S-EPMC10599530 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature

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Publications

Psychological resilience mediates the association between sleep quality and anxiety symptoms: A repeated measures study in college students.

Cai Huangjie H Guo Jianhui J Zhou Jungu J Lai Yingqian Y

PloS one 20231025 10

<h4>Objective</h4>To explore the association between sleep quality and anxiety symptoms, and the mediation effect of psychological resilience on this association by a repeated measures study.<h4>Methods</h4>In this study, 127 college students were randomly recruited and their sleep quality and psychological status were repeatedly collected using the Pittsburgh Sleep Quality Index (PSQI) scale, Connor-Davidson resilience scale (CD-RISC), and 7-items generalized anxiety disorder scale (GAD-7). Lin ...[more]

PMID: 37878594

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Project description:To examine sleep latency and sleep disturbance as mediators between nighttime cell phone use variables (cell phone use for unstructured leisure activities and for accessing emotionally charged media content before sleep: CPU_BeforeBed and CPU_Arousal) and psychological well-being (PWB) of college students. 521 (74% female) undergraduate students from a large public university were surveyed using a validated self-report quantitative questionnaire assessing CPU variables, sleep quality, and PWB. Pearson correlation analyses were used to compute the correlation between CPU_BeforeBed, CPU_Arousal, sleep latency, and sleep disturbance. Ordinary least-squares regressions were conducted to assess the estimates of the relationships within the models. One-way ANOVA was used to see the difference between the groups. The partial eta squared was used to determine the effect size between the groups. The PROCESS method was used to perform mediation analyses. The sample consisted of undergraduate students between 18 and 29 years old, with an average age of 20 years (SD = 3.18). The sample was diverse in terms of ethnicity (49% Caucasian, 24% Latinx, 19% Asian, 3% African American, 1% Native American, 3% identified as "other") and the number of years the participants had been attending a 2 year or 4 year higher institution (38% incoming freshman, 19% sophomore, 17% junior, 14% senior, and 13% returning senior). The correlation between CPU_BeforeBed and PWB (α = - 0.044, p = 0.615), and the correlation between CPU_Arousal and PWB (α = - 0.061, p = 0.228) were not statistically significant. However, the correlation between sleep latency and PWB (α = - 0.140, p = 0.001), and the correlation between sleep disturbance and PWB (α = - 0.121, p = 0.005) were statistically significant. The mediation effect of sleep latency on the association between CPU_BeforeBed and PWB (Effect = - 0.0325, SE = 0.0145, p < 0.05), and the mediation effect of sleep disturbance on the association between CPU_Arousal and PWB (Effect = - 0.0214, SE = 0.0086, p < 0.05) were statistically significant. Sleep latency and sleep disturbance act as a mediator on the association between CPU_BeforeBed and PWB, and the association between CPU_Arousal and PWB. However, CPU_BeforeBed and CPU_Arousal did not have a direct impact on their PWB. These findings may help college students in regulating CPU habits before going to bed. These findings may also help medical practitioners make informed decisions about the use of cell phones for patients with sleep-related disorders.Supplementary informationThe online version contains supplementary material available at 10.1007/s41105-022-00388-3.

Project description:BackgroundThe mental health of students is affected by COVID-19. We aim to evaluate the anxiety and depression symptoms among college students during COVID-19 pandemic, analyze the influence factors that contribute to college students' anxiety and depression symptoms, and provide some suggestions for improving the mental health of college students.MethodsWith 179 college students participating, an online questionnaire consisting of a general questionnaire, Generalized Anxiety Disorder (GAD-7), and Patient Health Questionnaire (PHQ-9) was conducted in universities in Shanghai. The anxiety and depression symptoms among college students were evaluated using GAD-7 and PHQ-9 scales, and influence factors were analyzed using an unordered multi-class Logistic regression model.ResultsThe reliability and validity of the GAD-7 and PHQ-9 scales were good (reliability ≥ 0.9, validity = 100%). The incidence of anxiety was 32.4%, of which were 23.5%, 8.4%, and 0.6% in mild, moderate, and severe, respectively; and the incidence of depression was 46.40%, of which in mild, moderate, moderate to severe, and severe were 28.5%, 10.1%, 7.3%, and 0.6%, respectively. Multivariate analysis revealed that male students with strong psychological quality, who were not easily affected by the COVID-19 pandemic, who received less negative or false information, and who had a strong grasp of psychology and related knowledge were less likely to suffer from mild or moderate anxiety symptoms [OR (95% CI) 0.18 (0.04, 0.81), 0.12 (0.05, 0.33), 0.23 (0.06, 0.89) and 0.07 (0.01, 0.74)]. Furthermore, college students who were not affected by the COVID-19 pandemic were less likely to suffer from mild, moderate, and moderate to severe depression symptoms [OR (95% CI) 0.23 (0.08, 0.65), 0.22 (0.05, 0.93), 0.10 (0.02, 0.54)].ConclusionThe GAD-7 and PHQ-9 scales are suitable for evaluating anxiety and depression symptoms in college students. The COVID-19 pandemic was associated with a high incidence of anxiety and depression symptoms among college students, although gender and mental state fluctuations during the pandemic, negative and false information, and exposure to psychology and related courses were the main influencing factors.

Dataset Information

Psychological resilience mediates the association between sleep quality and anxiety symptoms: A repeated measures study in college students.

Objective

Methods

Results

Conclusions

Publications

Psychological resilience mediates the association between sleep quality and anxiety symptoms: A repeated measures study in college students.

Similar Datasets

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