Sleep disturbances and mental strain in university students: results from an online survey in Luxembourg and Germany

Cross-lagged panel analysis of the relationship between social networking sites use (SNSU) and sleep problems among university students

BACKGROUND

Sleep remains a cornerstone for sociopsychological well-being, but it is in decline, especially among today's youth. Simultaneously, engagement with social media is escalating. Research has identified a link between social networking sites use and sleep problems; however, the nature and direction of the relations remain obscure. Therefore, it is imperative to pursue longitudinal research to elucidate this correlation and guide suitable intervention practices. The present study aimed to examine the reciprocal relationship between social networking sites use and sleep problems.

METHODS

By adopting a three-stage cross-lagged design across four time points, assessment results from 194 university students were gathered at four-week intervals.

RESULTS

The findings indicate that (1) Social networking sites use was significantly greater in females than in males at all four time points, while sleep problems were significantly greater in females than in males at Time 3 and Time 4. (2) Sleep problems at the second time point serve as a positive predictor of subsequent social networking sites use at the third time point. (3) Social networking sites use at the initial time point could marginally significantly predict sleep problems at the fourth time point.

CONCLUSIONS

This study elucidates the dynamic relationship between social networking sites use and sleep problems across an academic term, suggesting the need for temporally tailored interventions.

The Relationship between Stress and Academic Self-Efficacy among Students at Elite Colleges: A Longitudinal Analysis

Stress and academic self-efficacy are crucial factors in the psychological health of college students. Previous research has shown that stress is associated with academic self-efficacy, but their longitudinal relationships among students at elite colleges remain unclear. This study aimed to explore the longitudinal relationships between stress and academic self-efficacy among students from five elite colleges in China. Descriptive statistics indicated that students experienced a slight reduction in stress accompanied by a marginal increase in academic self-efficacy from the junior year to the senior year. Correlation analysis revealed that stress was negatively correlated with academic self-efficacy. According to cross-lagged models, heightened stress significantly predicted lower levels of academic self-efficacy. However, greater academic self-efficacy did not significantly predict lower stress. In conclusion, stress exhibited a unidirectional negative prediction on academic self-efficacy over time among students at elite colleges. The results of this study suggested that elite colleges should pay more attention to the mental health of students and provide appropriate guidance, such as establishing a positive mental health atmosphere in the educational environment and employing advanced technological means.

[The mediating role of social media addiction and sleep quality in the association between social media usage and depressive symptoms in university students]

Increase in time spent on social media and its association with depressive symptoms, especially among young adults, has generated the need to understand how this association occurs in order to support the development of policies to reduce harm and complications. In view of this fact, this study aimed to assess the mediating effect of social media addiction and sleep quality on the association between time spent on social media and depressive symptoms in Brazilian university students. This is a cross-sectional study conducted with 2,823 university students, who provided information regarding time spent on social media, social media addiction, depressive symptoms and sleep quality. The mediation analysis, adjusted for confounding factors, was performed using the PROCESS macro for SPSS to obtain the total (c), direct (c'), and indirect effects (EI1, EI2, and EI3). The results identified an association between time spent on social media and depressive symptoms, mediated by social media addiction (EI1 = 20%) and sleep quality (EI1 = 40%). These findings help expand knowledge about the mechanisms that mutually influence the relationship between time spent on social media and depressive symptoms, supporting the adoption of strategies to reduce harm resulting from excessive social media use.

Depressive Symptoms Among Higher Education Students in Germany-A Systematic Review and Meta-Analysis

Objectives

Higher education students in Germany are vulnerable to depressive symptoms. Despite ample evidence, no comprehensive review has recently been conducted. Thus, our systematic review and meta-analysis aims at describing the extent to which students are affected by depressive symptoms.

Methods

We searched three databases for articles reporting the prevalence rates of depressiveness among students in Germany published between 2002 and 2023. Pooled prevalence rates were calculated using random effects models, both for the overall sample and for subgroups categorized by gender, study setting, assessment instrument, and whether the study was conducted before or during the COVID-19 pandemic.

Results

The search yielded 992 records. After screening, 60 articles remained for data extraction. About one out of five students (21.1%) exhibits depressive symptoms. Pooled prevalence rates differ between subgroups, with higher rates during the COVID-19 pandemic than before (30.6% versus 18.0%) and with females being more affected than their male counterparts (29.0% versus 23.1%).

Conclusion

This review underlines the urgency with which the mental health of students should be addressed at the (higher educational) policy level.

Clinical Trial Registration: PROPSPERO, Identifier CRD42022384066.

The Relationship Between Trait Mindfulness and Depression in Elementary Pre-Service Teachers: The Sequential Mediating Role of Flow Experience and Learning Engagement

Objective

The purpose of this study is to investigate the relationship between trait mindfulness, flow experience, learning engagement, and depression among elementary pre-service teachers.

Methods

We employed the Five Facet Mindfulness Questionnaire, Flow Experience Scale, Learning Engagement Scale, and Center for Epidemiologic Studies Depression Scale to assess 614 elementary pre-service teachers.

Results

Trait mindfulness in elementary pre-service teachers negatively predicts depression. Trait mindfulness indirectly impacts depression through flow experience and learning engagement. Furthermore, flow experience and learning engagement serve as mediating factors in the relationship between trait mindfulness and depression among elementary pre-service teachers.

Conclusion

Flow experience and learning engagement play a mediating role in the relationship between trait mindfulness and depression among elementary pre-service teachers. This study enriches our understanding of depression cognitive theory, emphasizing the positive influence of internal resources on depression prevention. Additionally, it provides a deeper explanation of the mechanism through which trait mindfulness affects depression, offering valuable insights for future depression intervention programs.

Dysphoric mood may explain the relation between sleep reactivity and binge eating but not purging

Objective: This study investigated whether sleep reactivity (i.e., a propensity to experience sleep disturbances when stressed) relates to eating disorder behavioral symptoms indirectly through dysphoric mood in a sample of college students. Participants: One hundred and ninety-eight college students (51.5% female). Methods: Participants completed self-report measures of dysphoric mood, eating disorder behavioral symptoms, and sleep reactivity. Results: Higher sleep reactivity was associated with greater binge-eating symptoms indirectly through higher dysphoric mood. Higher sleep reactivity was associated with greater purging symptoms; however, this association was not explained by dysphoric mood. Conclusions: Findings support the relevance of sleep reactivity to binge eating and purging and suggest that sleep reactivity relates to binge-eating symptoms indirectly through dysphoric mood. If replicated in prospective data, targeting stress-induced sleep and mood disturbances in college students may reduce risk for binge eating.

Assessing 'readiness' by tracking fluctuations in daily sleep duration and their effects on daily mood, motivation, and sleepiness

STUDY OBJECTIVES

Consumer sleep trackers issue daily guidance on 'readiness' without clear empirical basis. We investigated how self-rated mood, motivation, and sleepiness (MMS) levels are affected by daily fluctuations in sleep duration, timing, and efficiency and overall sleep regularity. We also determined how temporally specific these associations are.

METHODS

119 healthy university students (64 female, mean age = 22.54 ± 1.74 years) wore a wearable sleep tracker and undertook twice-daily smartphone-delivered ecological momentary assessment of mood, motivation, and sleepiness at post-wake and pre-bedtime timings for 2-6 weeks. Naps and their duration were reported daily. Nocturnal sleep on 2471 nights were examined using multilevel models to uncover within-subject and between-subject associations between sleep duration, timing, efficiency, and nap duration on following day MMS ratings. Time-lagged analyses examined the temporal specificity of these associations. Linear regression models investigated associations between MMS ratings and sleep variability, controlling for sleep duration.

RESULTS

Nocturnal sleep durations were short (6.03 ± 0.71 h), and bedtimes were late (1:42AM ± 1:05). Within-subjects, nocturnal sleep longer than a person's average was associated with better mood, higher motivation, and lower sleepiness after waking. Effects of such longer sleep duration lingered for mood and sleepiness till the pre-bedtime window (all Ps < .005) but did not extend to the next day. Between-subjects, higher intraindividual sleep variability, but not sleep duration, was associated with poorer mood and lower motivation after waking. Longer average sleep duration was associated with less sleepiness after waking and lower motivation pre-bedtime (all Ps < .05). Longer naps reduced post-nap sleepiness and improved mood. Controlling for nocturnal sleep duration, longer naps also associated with lower post-waking sleepiness on the following day.

CONCLUSIONS

Positive connections between nocturnal sleep and nap duration with MMS are temporally circumscribed, lending credence to the construction of sleep-based, daily 'readiness' scores. Higher sleep duration variability lowers an individual's post waking mood and motivation.

CLINICAL TRIAL ID

ClinicalTrials.gov NCT04880629.

Sleep Quality and Fatigue during Exam Periods in University Students: Prevalence and Associated Factors

The aim of our study was to assess university students' sleep quality and fatigue before and during the academic exam period and identify potential associated factors. A Web-based survey was completed by 940 students of 20 different Tertiary Institutions including demographics, sleep habits, exercise, caffeine, tobacco, alcohol use, subjective sleep quality (Pittsburgh Sleep Quality Index-PSQI), and fatigue (Fatigue severity scale-FSS) at the beginning of the semester and during the examination period. During the exam period, PSQI (8.9 vs. 6.1, p < 0.001) and FSS scores (36.9 vs. 32.7, p < 0.001) were significantly elevated compared to the pre-exam period. An increase in the PSQI score was associated with age (β = 0.111, p = 0.011), presence of chronic disease (β = 0.914, p = 0.006), and depressive symptoms (β = 0.459, p = 0.001). An increase in the FSS score was associated with female gender (β = 1.658, p < 0.001), age, (β = 0.198, p = 0.010), increase in smoking (β = 1.7, p = 0.029), coffee/energy drinks consumption (β = 1.988, p < 0.001), decreased levels of physical exercise (β = 1.660, p < 0.001), and depressive symptoms (β = 2.526, p < 0.001). In conclusion, our findings indicate that exam periods have a negative impact on the sleep quality and fatigue levels of university students. Potential factors were identified that could contribute to the formulation of strategies for improved sleep quality and wellness.

Better Mental Health and Sleep under Behavioral Restrictions Due to COVID-19 in Japanese University Students: A Cross-Sectional Survey

Coronavirus disease (COVID-19) is a global pandemic, which is not only a severe public health issue but also significantly impacts the physical activity, sleep habits, and mental health of university students. Thus, we examined the association between behavioral restrictions due to COVID-19 and sleep patterns and mental health in first-year Japanese university students. Four hundred and twenty-two students (253 males and 169 females; age, 18.7 ± 1.0 years) participated in our questionnaire study. Under the behavioral restrictions due to COVID-19, 193 students (127 males and 66 females) responded to the questionnaire online from home. The participants did not visit the university during the survey period. The data acquired the year before the COVID-19 pandemic (2018 and 2019) were used as control data (126 males and 103 females). The questionnaire consisted of four sections: (1) demographic and lifestyle variables, (2) the Pittsburgh Sleep Quality Index, (3) the Japanese version of the Epworth Sleepiness Scale, and (4) the Patient Health Questionnaire-9. Our data revealed that self-restraint due to COVID-19 was associated with better sleep and mental health. In addition, mental health was independent of sleep, while sleep was related to mental health. These differences were more pronounced in male than in female students. This finding could be due to physical activity at night, part-time work, and long commuting times during the pre-pandemic period.

A clinical and technical methodological review on stress detection and sleep quality prediction in an academic environment

BACKGROUND

Mental health in recent times is a much talked about topic and its effects on the sleep health of the students are said to result in long-term health issues if not identified and resolved. Students who are subjected to psychological stress have often been reported to have lower sleep quality which together has affected the academic performance of the students.

OBJECTIVE

While stress has its adverse effect on students'quality of sleep, an effort is also made to identify standard techniques and tools to automatically assess stress levels and sleep quality in a non-invasive environment among students only. This article mainly focuses on the Clinical and technical methodology employed in stress level detection and sleep quality prediction among students.

METHODS

This study was conducted by examining all research studies conducted in the past with respect to students in an academic setting from year 2000 to early 2022. The papers under study where finalised based on different methodologies involved in stress level detection and sleep quality prediction considering both in unimodal and multimodal measurements.

RESULTS

While questionnaires and physiological signals are used as a standard measuring tool, it is mostly used in a unimodal environment to measure students' mental stress or sleep quality in academic settings.

CONCLUSION

This paper describes in detail the clinical aspect of the association between mental stress, sleep quality, and academic performance in students followed by technical aspects to analyse the stress levels and sleep quality both qualitatively and quantitatively in an academic environment.

Determinants of Sleep Quality: A Cross-Sectional Study in University Students

When entering the university setting, poor sleep quality is reportedly prevalent among students and has been linked to a range of adverse health outcomes, including reduced academic performance. Moreover, determinants of sleep quality are not yet fully understood. This study was designed to (1) assess the prevalence of poor sleep quality and (2) identify determinants of sleep quality in German university students. In total, 1,684 undergraduate and graduate students (50.6% female, mean age 22.87 ± 3.15 years) from multiple academic disciplines completed a cross-sectional online survey assessing socio-demographic, health, and study-related indicators and sleep quality using the Pittsburgh Sleep Quality Index (PSQI). In our sample, 820 (48.7%) met the PSQI cut-off score (>5) for poor sleep quality. Multiple regression analysis showed that older age, being a business student, lower subjective social status, poorer self-rated health, stress, exhaustion, and poor academic performance significantly predicted poor sleep quality. Our findings document a high prevalence of poor sleep quality among university students and suggest that business students, especially, might be exposed to a greater risk for poor sleep quality. Furthermore, the results of this study are valuable for academic staff to develop tailored interventions to promote healthy sleep-in university students.

Developing and validating a university needs instrument to measure the psychosocial needs of university students

BACKGROUND

University students are four times more likely to experience elevated levels of psychological distress compared to their peers. The psychosocial needs of university students are associated with high psychological distress, stressful life events, and academic performance. Our study focuses on developing a measure to help universities identify these psychosocial needs.

AIMS

The study aimed to develop and validate the factor structure of the University Needs Instrument and identify the relationship between psychosocial needs, psychological distress and academic performance among university students.

SAMPLE

Undergraduate university students (N = 511) currently studying at university.

METHOD

Participants completed demographic questions, the University Needs Instrument and the Kessler-10 Psychological Distress scale. The University Needs Instrument comprises 30 items within six psychosocial factors (academic support, financial support, support from family, support from friends, practical support and emotional support), each consisting of five items.

RESULTS

Confirmatory factor analysis showed that all items significantly loaded on the six hypothesized factors. The hypothesized model was supported by the data displaying excellent model fit and psychometric properties. Our analysis determined that the UNI has strong internal consistency. The results also confirmed that university students' high levels of psychological distress and their academic performance may be affected by their psychosocial needs.

CONCLUSIONS

Our findings have provided an initial validation of the UNI to help screen and identify the psychosocial needs of university students. This scale can be used to identify the appropriate psychosocial support that can be offered to students and in turn could help reduce their psychological distress, improve their psychosocial well-being and increase academic performance.

Cannabis use disorder severity and sleep quality among undergraduates attending a Historically Black University

Nearly one third of Americans experience poor sleep, which is associated with numerous deleterious health outcomes. Poor sleep may be exacerbated when an individual attends college, as they experience drastic shifts in lifestyle and sleep patterns. Previous research suggests cannabis has therapeutic potential for sleep disorders but may also impair sleep quality long-term. However, no study has examined the differences in sleep quality within individuals who meet criteria for Cannabis Use Disorder (CUD). The purpose of the current study was to determine differences in sleep quality among undergraduate students who met criteria for mild CUD (n = 18), moderate CUD (n = 22), severe CUD (n = 16) and students who did not meet criteria for CUD (n = 244). Participants included 300 predominantly Black/African American undergraduate students (79% female), aged between 18 and 25 years. Each participant completed an online survey that included measures assessing sleep quality and CUD criteria. Employing analysis of covariance, the moderate CUD subgroup (M = 9.00, SD = 3.32) reported poorer sleep quality than individuals who did not meet criteria for CUD (M = 6.93, SD = 3.03). Interestingly, the severe CUD subgroup (M = 6.75, SD = 2.52) reported similar sleep quality to individuals who did not meet criteria for CUD (M = 6.93, SD = 3.03). Individuals meeting criteria for mild and moderate CUD reported the poorest sleep quality among the groups, suggesting a differentiation within CUD severity. Future research should assess withdrawal and cannabis use frequency among individuals who meet criteria for CUD to further elucidate disturbances in sleep quality among those with CUD.

Effectiveness of mindful walking intervention in nature on sleep quality and mood among university student during Covid-19: A randomised control study

OBJECTIVE

The aim of this project was to conduct a randomised control study to examine whether outdoor mindful walking in nature can effectively improve university students' sleep quality, mood, and mindfulness during the lockdown of Covid-19 pandemic in the U.K.

METHODS

Participants were measured at T₀ (pre-study baseline), T₁ (pre-intervention), T₂ (post-intervention), and T₃ (follow-up). A total of 104 participants (female = 94) who were experiencing sleep difficulties were randomly allocated to either an experimental (i.e., nature) or control (i.e., urban) walking environments. Participants in each walking condition independently undertook a daily 35-minute walk for a week (7 days). Subjective sleep quality, total mood disturbance, mindfulness, and degree of nature, and participants' perspectives and suggestions about the intervention, were collected.

RESULTS

Findings suggest that both groups exhibited significant improvements on participant's trait mindfulness, sleep quality and mood after the intervention. However, mindful walking in nature did not bring additional mental health benefits to participants than those who walked in urban environment. Participants reflected their perspectives about the intervention, which will assist with further intervention development.

CONCLUSIONS

Findings contribute to the evidence base for the effectiveness of outdoor mindful walking interventions on mental health. Especially these findings add new knowledge of how mindful walking outdoors reduces university students' mood disturbances and improves their sleep quality and mindfulness level during the pandemic.

Sleep disturbances among women in a Subarctic region: a nationwide study

STUDY OBJECTIVES

To date, few studies have assessed sleep problems among women residing in Subarctic regions. Therefore, the aim of this large-scale population-based study was to assess the prevalence of severe sleep problems and associated factors among Icelandic women, living at 63-66°N.

METHODS

Participants were 29 681 women (18-69 years old) who took part in the Icelandic Stress-And-Gene-Analysis study in 2018-2019. Background information, health-related behavior, and mental health symptoms were assessed with an online questionnaire. The Pittsburgh Sleep Quality Index (PSQI) was used to assess severe sleep problems during the past month. Adjusting for age, marital status, number of children, education, personal income, work schedule, region, and response period, we used modified Poisson log-linear models to obtain prevalence ratios (PRs) with 95% confidence intervals (CIs).

RESULTS

Overall, 24.2% of women reported severe sleep problems (PSQI >10). Women responding in the winter presented with an overall higher prevalence of severe sleep problems, compared to those responding in the summer (PR 1.21; 95% CI, 1.15 to 1.28). Severe sleep problems were more prevalent among young and late-midlife women, those who were single, had children, socio-economic challenges, worked shifts, and flexible hours. Furthermore, obesity, suboptimal health behaviors, excessive screen time, and mental health problems were associated with severe sleep problems.

CONCLUSION

Severe sleep problems are more common among women in Subarctic regions than elsewhere, particularly during winter. These findings motivate the development of preventive strategies and interventions for women in the Subarctic who suffer from sleep problems.

Insomnia Symptoms, Sleep Hygiene, Mental Health, and Academic Performance in Spanish University Students: A Cross-Sectional Study

BACKGROUND

Insomnia has been associated with decreased academic performance and unhealthy behaviors in university students. Although many studies have analyzed sleep phenomenology among this population, only few have focused on insomnia and its related variables. In addition, such studies do not always include a clinical interview or a specific and validated instrument for measuring insomnia. This study aimed to explore the prevalence of insomnia symptoms and the relationship between insomnia and health habits, mental health, and academic performance in a large university student sample.

METHODS

Five hundred and eighty-two students were recruited from the University of Granada, Spain. Data were collected through an online survey with questions on sociodemographic and academic data and health habits as well as the Pittsburgh Sleep Quality Index, Insomnia Severity Index, Sleep Hygiene Index, and Sleepiness, Depression, Anxiety, and Stress Scales. A multiple regression analysis explored the relationship between academic performance, health habits, mood state, and insomnia symptoms.

RESULTS

The prevalence of students with symptoms of insomnia was high (39.7%). A multiple logistic regression analysis revealed that depression, sleep hygiene, stress and anxiety were significant predictors of insomnia symptoms. Multivariate analyses revealed that subjective insomnia symptoms, sleep efficiency, and depression were significantly correlated with academic performance in a dependent way.

CONCLUSIONS

In university students, anxiety, stress, and poor sleep hygiene are risk factors for insomnia, which plays an important role in academic performance. Promoting sleep and mental health could be a potentially effective way to improve their academic performance.

Relationship between premenstrual syndrome and sleep quality among nursing and medical students

PURPOSE

This study was performed to determine relationship between premenstrual syndrome (PMS) and sleep quality among nursing and medical students.

DESIGN AND METHODS

This descriptive, cross-sectional and correlational study was completed with 313 students attending the nursing department and medical faculty. Data were collected using the premenstrual syndrome scale (PMSS) and Pittsburgh sleep quality index (PSQI).

FINDINGS

The PSQI was positively correlated with PMSS and its subscales scores. Sleep changes were the strongest predictor, followed by depressive thoughts (p < .01), depressive mood, bloating and total PMSS (p < .05) for sleep quality.

PRACTICE IMPLICATIONS

Training should be organized about PMS for university students to provide information and skills about managing symptoms, and to increase the awareness about this syndrome. Interventional studies should be planned to increase sleep quality in PMS.

Stability over time of scores on psychiatric rating scales, questionnaires and cognitive tests in healthy controls

BACKGROUND

Case-only longitudinal studies are common in psychiatry. Further, it is assumed that psychiatric ratings and questionnaire results of healthy controls stay stable over foreseeable time ranges. For cognitive tests, improvements over time are expected, but data for more than two administrations are scarce.

AIMS

We comprehensively investigated the longitudinal course for trends over time in cognitive and symptom measurements for severe mental disorders. Assessments included the Trail Making Tests, verbal Digit Span tests, Global Assessment of Functioning, Inventory of Depressive Symptomatology, the Positive and Negative Syndrome Scale, and the Young Mania Rating Scale, among others.

METHOD

Using the data of control individuals (n = 326) from the PsyCourse study who had up to four assessments over 18 months, we modelled the course using linear mixed models or logistic regression. The slopes or odds ratios were estimated and adjusted for age and gender. We also assessed the robustness of these results using a longitudinal non-parametric test in a sensitivity analysis.

RESULTS

Small effects were detected for most cognitive tests, indicating a performance improvement over time (P < 0.05). However, for most of the symptom rating scales and questionnaires, no effects were detected, in line with our initial hypothesis.

CONCLUSIONS

The slightly but consistently improved performance in the cognitive tests speaks of a test-unspecific positive trend, while psychiatric ratings and questionnaire results remain stable over the observed period. These detectable improvements need to be considered when interpreting longitudinal courses. We therefore recommend recruiting control participants if cognitive tests are administered.

Marketing Healthy Diets: The Impact of Health Consciousness on Chinese Consumers’ Food Choices

Dietary choices, as the types and amounts of foods that individuals consume, are a major determinant of human health and environmental sustainability. From a marketing perspective, it becomes imperative to identify and understand the factors that motivate consumers to adopt a sustainable diet and purchase healthy food. This research is an attempt to contribute to the literature by revealing the major driving forces leading to healthy food consumption and identifying its underlying mechanism. Based on a survey of the diets and lifestyles of 307 Chinese consumers in several cities of the Jiangxi and Guangdong provinces, our empirical results indicate that consumer health consciousness is a major predictor of the intention to purchase healthy products. Such a relationship is explained by the psychological benefits associated with the consumption experience and the perceived naturalness of the product. Moreover, a high perceived nutritional value will enhance the mediation influences of the psychological benefit and the perceived naturalness on purchase intention while a low perceived nutritional value tends to negate such an impact.

Research trends in college students' sleep from 2012 to 2021: A bibliometric analysis

BACKGROUND

A great proportion of college students experience various sleep problems, which damage their health and study performance. College students' sleep problems, which are caused by several factors, have been easily ignored before. In the past decade, more research has been published to expand our understanding of undergraduates' sleep. The purpose of the study is to explore the research hotspots and frontiers regarding college students' sleep using CiteSpace5.8.R3 and offer guidance for future study.

METHODS

We retrieved relevant literature from the Web of Science Core Collection Database and imputed the downloaded files into CiteSpace5.8.R3 for visualization analysis. We generated network maps of the collaborations between authors, countries, institutions, the cited journals, and co-occurrence keywords. The analysis of keywords clusters, timeline views, and keywords citation bursts help us identify the hotspots and research trends.

RESULTS

A total of 1,841 articles related to college students' sleep, published from 2012 to 2021, were selected. The number of publications gradually increased. Karl Peltzer was the most prolific authors with 15 publications. The United States and Harvard University separately contributed 680 and 40 articles and had the greatest impact in this field. SLEEP ranked first in the frequency of cited journals. The article published by Lund HG was the most influential publication. Based on the analysis of keywords, we summarized research hotspots as follows: current status, affecting factors, and adverse outcomes of college students' sleep. The frontiers were the further understanding of the relationships between sleep and mental and physical health, and various interventions for sleep disorders.

CONCLUSION

Our study illustrates the research hotspots and trends and calls for more research to expand the findings. In the future, the cooperation between institutions and authors needs to be strengthened. The complex relationships between sleep and mental and physical health and problematic substance use disorders are necessary to be explored. Longitudinal studies or randomized controlled trials should be constructed to verify the current findings or assumptions.

Relationships between Depression, Daily Physical Activity, Physical Fitness, and Daytime Sleepiness among Japanese University Students

In Japan and other developed countries, the lifestyles of many—particularly the younger generation—have been disrupted in recent years. This disruption may manifest as a decrease in physical activity and deterioration in the quality and quantity of sleep. Depressive tendencies are also increasing among university students. This study examined the relationship between mental health, physical activity, physical fitness, and daytime sleepiness. Eighty-five undergraduate students participated in this study (52 men and 33 women, aged 18.9 (±1.4) years). Physical activity levels were measured using an accelerometer (Lifecorder, Kenz, Nagoya, Japan) for two weeks. To evaluate their level of physical fitness, maximal oxygen uptake (V˙O₂max) was calculated by an indirect method using a cycle ergometer. Depressive tendencies and daytime sleepiness were evaluated using the Patient Health Questionnaire (PHQ-9). The PHQ-9 score was positively correlated with sleepiness (r = 0.35, p = 0.001) and total steps per day (r = 0.39, p < 0.001). Moreover, the PHQ-9 score was positively correlated with V˙O₂max (r = 0.25, p = 0.019). The PHQ-9 score was higher in students with good exercise habits or part-time jobs. An important finding was the positive correlation between depression and variables related to physical activity levels. These results suggest that vigorous physical activity, such as exercise and part-time jobs, might be positively associated with depressive tendencies among university students.

Sleep, Well-Being and Academic Performance: A Study in a Singapore Residential College

We examined the relationship between sleep and the affective components of subjective well-being as well as psychological well-being, and between sleep and academic performance, of full-time undergraduate students in a residential college at the National University of Singapore. The aspects of sleep considered were self-reported sleep duration, sleep efficiency, frequency of sleep disturbances, daytime dysfunction, sleep latency and overall sleep quality, as measured by the Pittsburgh Sleep Quality Index. Academic performance was measured using self-reported cumulative average point scores, typically known as grade point average in other institutions. Psychological well-being and the affective components of subjective well-being were assessed using the Flourishing Scale and the Scale of Positive and Negative Experience, respectively. With the exception of sleep latency, our univariate analysis revealed significant associations between the abovementioned facets of sleep, and the affective components of subjective well-being. The analysis also revealed significant associations between the above sleep variables and psychological well-being, except sleep latency and frequency of sleep disturbances. Only daytime dysfunction was found to be significantly correlated with academic performance in our univariate analysis. In addition, our multivariate analysis shows that psychological well-being, affect balance and academic performance each has a direct effect on overall sleep quality. The relationship between overall sleep quality and psychological well-being is U-shaped, while that between overall sleep quality and affect balance is linear and moderated by psychological well-being. The relationship between overall sleep quality and academic performance is either U-shaped or an inverted-U, depending on the level of psychological well-being, which moderates the relationship. These nonlinear relationships indicate that individuals with the highest levels of psychological well-being are not the best sleepers (in terms of overall sleep quality), neither are the highest academic achievers necessarily the best sleepers.

Prevalence and Correlates of Sleep Quality Among Jordanian University Students: A Cross-Sectional National Study

Poor sleep quality affects university students' life and increases their risk of long-term health consequences. This study aimed to describe the quality of sleep among Jordanian university students, examine differences in sleep quality according to selected variables, and identify predictors of sleep quality. A cross-sectional correlational design and a multi-strategic sampling technique were used to select a sample of 1,308 university students. The Pittsburgh Sleep Quality Index, the Perceived Stress Scale, and the Sleep Hygiene Instrument were administered to the subjects. T-test, ANOVA, and multiple regressions were used to analyze the data. The results showed that most students were classified as poor sleepers (87.1%), and only (12.8%) reported having a good sleep quality. Among the components of sleep quality, subjective sleep quality (m = 1.90, SD = 0.89) and daytime dysfunction (m = 1.72, SD = 0.67) had the highest mean scores, while sleep efficiency (m = 0.50, SD = 0.91) and the use of sleep medications (m = 0.23, SD = 0.73) had the lowest mean scores. There were statistically significant differences in sleep quality in relation to residency, academic level, academic achievement, and family income. Significant predictors of sleep quality were gender, marital status, employment status, sleep hygiene, and stress.

Determinants of sleep quality in college students: A literature review

PURPOSE

To review the various determinants of sleep quality among college students.

METHODS

The PubMed, Web of Science and Cochrane Library databases were searched with the search string "sleep quality" AND "college students" for articles published between January 2007 and October 2017. Articles were excluded if they (1) examined sleep quality as a risk factor for other outcomes or (2) involved inpatients or participants under medical care.

RESULTS

The 112 identified studies were classified into categories according to the investigated determinants and their effect on sleep quality. Physical activity and healthy social relations improved sleep quality, while caffeine intake, stress and irregular sleep-wake patterns decreased sleep quality. Less consistent results were reported regarding eating habits and sleep knowledge, while proper napping during the day might improve overall sleep quality.

CONCLUSIONS

College students are vulnerable to different risk factors for sleep quality. When designing interventions to improve sleep quality among college students, the main determinants need to be taken into consideration.

[Eating behavior and relationships with stress, anxiety, depression and insomnia in university students.]

Introduction

Introduction: there is growing evidence linking food consumption with psychological health of adult people. This association has not been well explored among university students. Objectives: the aims of this study were to analyze the diet quality in a university population, and to assess its association with prevalence of anxiety, stress, depression, and insomnia. Methods: cross-sectional study of a sample of 1055 university students. Three validated questionnaires were used: the Healthy Eating Index (HEI), the Depression Anxiety Stress Scales (DASS 21), and the Insomnia Severity Index. Results: The average HEI score was 68,57±12,17. Prevalence of unhealthy eating was 82,3%, higher in women (84,8% vs. 76,4%). Unhealthy eating was significantly associated with prevalence of anxiety, depression, and stress. Excessive intake of sweets and low of dairy products were associated with higher prevalence of psychological and sleep disturbances. Conclusions: unhealthy eating patterns are common in university population and are related to anxiety, stress, and depression. Educational interventions to reduce unhealthy food consumption in university students can also result in psychological health improvements and/or vice versa.

"How does Austria sleep?" self-reported sleep habits and complaints in an online survey

During the past years, the prevalence of sleep problems has been increasing steadily in industrial societies and represents a major social and socioeconomic burden. The situation in Austria was last evaluated in 2007 by Zeitlhofer and colleagues in a representative sample of 1000 participants. In the current study, we sought to evaluate the sleep behaviour of the Austrian population in an ongoing online survey, in which we have collected data from 986 participants (66% women, mean age 40.9 ± 16.4 years) between March 2018 and May 2019. Sleep duration was appropriate in 52% of the respondents (i.e. 7-9 h per night). However, we found an alarmingly high number of self-reported sleep problems (46%), and only 31% of the participants classified themselves as "good sleepers" using a validated self-report questionnaire (Pittsburgh Sleep Quality Index, PSQI). Furthermore, many participants reported suffering from sleep problems for a very long time (86% > 6 months; 37% > 5 years) suggesting that currently available treatment options are either ineffective or not employed. Possible reasons for sleep problems could include irregular sleep-wake cycles, increased perceived stress levels, and the use of electronic devices just before sleep.

Sex-specific associations between sleep and mental health in university students: a large cross-sectional study

Objective: To examine the associations between sleep problems and mental health dimensions in university students, and the effect of sex on these associations. Participants: Self-reported survey data from 3,483 students aged 18-30 years was drawn from a larger web-based study (i-Share) conducted in France in the years 2013-2017. Methods: We performed logistic regression analyses stratified by sex using insufficient sleep duration, poor sleep quality, difficulty initiating sleep and excessive daytime sleepiness, in relation with stress, self-esteem, depression and anxiety. Results: All sleep problems were strongly associated with all mental health dimensions, particularly anxiety, in female students. Sleep and mental health problems were also associated in male students, with the exception of low self-esteem, but odds ratios were lower than for female students. Conclusions: Present findings warrant attention to propose early interventions targeting sleep and mental health in the university setting taking sex into account.

Impact of sleep problems on daytime function in school life: a cross-sectional study involving Japanese university students

BACKGROUND

The aims of this study were 1) to clarify the prevalence of sleep problems (insomnia, insufficient sleep, and delayed sleep-wake phase) among Japanese university students; 2) to examine sociodemographic characteristics, lifestyle, and sleep-related symptoms in each sleep problem; and 3) to evaluate the association between the above-mentioned sleep problems and daytime dysfunction in school life.

METHODS

Self-report questionnaire surveys were conducted at eight universities in Japan, and we received 1034 valid answers (78% female). The questionnaire consisted of socio-demographic characteristics, information on lifestyle, sleep pattern, sleep-related symptoms, and daytime dysfunction in school life. Groups with insomnia, behaviorally induced insufficient sleep syndrome (BIISS), delayed sleep-wake phase (DSWP), and BIISS + DSWP were defined. To identify the association between sleep problems and daytime dysfunction in school life, the generalized linear mixed effect model was conducted.

RESULTS

Sleep duration on weekdays was 5.9 ± 1.2 h, and 38.2% of the students had a sleep duration < 6.0 h. About 16% of the students were categorized as evening-type individuals. More than half of the students (56.1%) had excessive daytime sleepiness. Insomnia was associated with tardiness (aOR: 0.8, 95%CI: 0.7-0.9) and falling asleep during class (aOR: 1.6: 95%CI: 1.4-2.0). BIISS was associated with tardiness (aOR: 1.5, 95%CI: 1.1-2.2) and interference with academic achievement (aOR: 1.9, 95%CI: 1.3-2.6). DSWP and BIISS + DSWP were associated with absence (aOR: 3.4, 95%CI: 2.2-5.1 / aOR: 4.2, 95%CI: 3.2-5.6), tardiness (aOR: 2.7, 95%CI: 1.8-4.1 / aOR: 2.2, 95%CI: 1.6-2.8), falling asleep during class (aOR: 2.6, 95%CI: 1.4-4.8 / aOR: 7.6, 95%CI: 3.3-17.2), and interference with academic achievement (aOR: 2.6, 95%CI: 1.7-3.9 / aOR: 2.1, 95%CI: 1.6-2.8).

CONCLUSIONS

Students with DSWP and BIISS + DSWP were significantly associated with daytime dysfunction in school life, i.e. absence, tardiness, falling asleep during class and interference with academic achievement. Students displaying BIISS + DSWP were considered to have a relatively more serious condition compared with those with only insomnia, DSWP, or BIISS. It is therefore of utmost importance that university students aim to prevent DSWP and BIISS which were associated with daytime function in school life.

An Eight-Week, Web-Based Mindfulness Virtual Community Intervention for Students' Mental Health: Randomized Controlled Trial

BACKGROUND

Innovative interventions are needed to address the increasing mental health needs of university students. Given the demonstrated anxiolytic and antidepressant benefits of mindfulness training, we developed an 8-week, Web-based Mindfulness Virtual Community (MVC) intervention informed by cognitive behavioral therapy (CBT) constructs.

OBJECTIVE

This study investigated the efficacy of the MVC intervention in reducing symptoms of depression, anxiety, and stress among undergraduate students in Toronto, Canada. The secondary outcomes included quality of life, life satisfaction, and mindfulness.

METHODS

The first 4 weeks of the full MVC intervention (F-MVC) comprised: (1) 12 video-based modules with psycho-education on students' preidentified stressful topics and topically applied mindfulness practice; (2) anonymous peer-to-peer discussion forums; and (3) anonymous, group-based, professionally guided, 20-min live videoconferences. The second 4 weeks of F-MVC involved access only to video-based modules. The 8-week partial MVC (P-MVC) comprised 12 video-based modules. A randomized controlled trial was conducted with 4 parallel arms: F-MVC, P-MVC, waitlist control (WLC), and group-based face-to-face CBT; results for the latter group are presented elsewhere. Students recruited through multiple strategies consented and were randomized: WLC=40; F-MVC=40, P-MVC=39; all learned about allocation after consenting. The online surveys at baseline (T1), 4 weeks (T2), and 8 weeks (T3) included the Patient Health Questionnaire-9 item, Beck Anxiety Inventory, Perceived Stress Scale, Quality of Life Scale, Brief Multi-Dimensional Students Life Satisfaction Scale, and Five-Facet Mindfulness Questionnaire. Analyses employed generalized estimation equation methods with AR(1) covariance structures and were adjusted for possible confounders (gender, age, birth country, paid work, unpaid work, physical activities, self-rated health, and mental health counseling access).

RESULTS

Of the 113 students who provided T1 data, 28 were males and 85 were females with a mean age of 24.8 years. Participants in F-MVC (n=39), P-MVC (n=35), and WLC (n=39) groups were similar in sociodemographic characteristics at T1. At T3 follow-up, per adjusted comparisons, there were statistically significant reductions in depression scores for F-MVC (score change -4.03; P<.001) and P-MVC (score change -4.82; P<.001) when compared with WLC. At T3, there was a statistically significant reduction in anxiety scores only for P-MVC (score change -7.35; P=.01) when compared with WLC. There was a statistically significant reduction in scores for perceived stress for both F-MVC (score change -5.32; P<.001) and P-MVC (score change -5.61; P=.005) compared with WLC. There were statistically significant changes at T3 for quality of life and mindfulness for F-MVC and P-MVC vs WLC but not for life satisfaction.

CONCLUSIONS

Internet-based mindfulness CBT-based interventions, such as F-MVC and P-MVC, can result in significant reductions in symptoms of depression, anxiety, and stress in a student population. Future research with a larger sample from multiple universities would more precisely test generalizability.

TRIAL REGISTRATION

International Standard Randomized Controlled Trial Number ISRCTN92827275; https://www.isrctn.com/ISRCTN92827275.

Smartphone Use and Sleep Quality in Chinese College Students: A Preliminary Study

BACKGROUND

Chinese college students are at high risk of sleep problems, and smartphone use is common among this population. However, the relationship between smartphone use characteristics and sleep problems in Chinese college students has been inadequately studied. In this preliminary study, we examined the association of poor sleep quality with smartphone use in a sample of Chinese college students from a health vocational college in Changsha, China.

METHODS

A total of 439 college students completed a self-report questionnaire containing the Pittsburgh Sleep Quality Index (PSQI) and questions regarding demographic information, psychosocial factors, physical health, smartphone use characteristics, and mobile phone addiction (MPA).

RESULTS

The results showed that the prevalence of poor sleep quality (PSQI > 7) in Chinese college students was 9.8%. In multiple logistic regression analysis, poor sleep quality was significantly associated with male gender (OR: 2.80, P: 0.022), not having good physical health (OR: 2.61, P: 0.020), headache (OR: 2.47, P: 0.014), more severe depressive symptoms (OR: 2.17, P: 0.049), > four years of smartphone use (OR: 3.38, P: 0.001), > five hours of daily smartphone use (OR: 2.19, P: 0.049), and more severe inability to control MPA craving (OR: 2.04, P: 0.040).

CONCLUSION

Our findings suggest that excessive smartphone use and MPA are associated with poor sleep quality in a sample of Chinese college students from a health vocational college. Because of the limited sample representativeness and cross-sectional design of this study, large-scale prospective representative studies are warranted to confirm these associations.

The Quality, Quantity, and Intraindividual Variability of Sleep Among Students and Student-Athletes

BACKGROUND

Student-athletes are subject to significant demands due to their concurrent sporting and academic commitments, which may affect their sleep. This study aimed to compare the self-reported sleep quality, quantity, and intraindividual variability (IIV) of students and student-athletes through an online survey.

HYPOTHESIS

Student-athletes will have a poorer sleep quality and quantity and experience more IIV.

STUDY DESIGN

Case-control study.

LEVEL OF EVIDENCE

Level 4.

METHODS

Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI), while sleep quantity and IIV were assessed using the Consensus Sleep Diary. Initially, the PSQI and additional questions regarding sport participation habits were completed by 138 participants (65 students, 73 student-athletes). From within this sample, 44 participants were recruited to complete the sleep diary for a period of 14 days.

RESULTS

The mean PSQI score was 6.89 ± 3.03, with 65% of the sample identified as poor sleepers, but no difference was observed between students and student-athletes. Analysis of sleep patterns showed only possibly to likely small differences in sleep schedule, sleep onset latency, and subjective sleep quality between groups. IIV analysis showed likely moderate to possibly small differences between groups, suggesting more variable sleep patterns among student-athletes.

CONCLUSION

This study highlights that sleep issues are prevalent within the university student population and that student-athletes may be at greater risk due to more variable sleep patterns.

CLINICAL RELEVANCE

University coaches should consider these results to optimize sleep habits of their student-athletes.

Impacts of socio-cultural environment and lifestyle factors on the psychological health of university students in Bangladesh: A longitudinal study

BACKGROUND

The psychological health of university students is an issue of utmost concern worldwide. Its consequences include multifaceted outcomes from complex interactions of sociocultural, environmental, and individual lifestyle factors. This research explores the impacts of socio-cultural environment and lifestyle factors on the psychological health of university students in Dhaka, Bangladesh.

METHODS

A 15-month follow-up was carried out among 1140 university students from April 2016 to November 2017. Data were collected by using a pre-developed questionnaire, consisting of socio-demographic information, comprehensive lifestyle information, and psychological health information including a nine-item scale, the Patient Health Questionnaire-9 (PHQ-9) for assessing the level of depression, and a 7-item scale, the Generalized Anxiety Disorder-7 (GAD-7) for assessing the level of anxiety. The collected data were analyzed by using the Statistical Package for Social Sciences (SPSS) software, version 22.

RESULTS

With time, there was a 22.5% increase in the prevalence of provisional depression and a 27.1% increase in the prevalence of anxiety. In terms of demographic factors, findings revealed that students dissatisfied with university culture were significantly more likely to experience depression (B = 5.13, p<0.01, β=0.33) and anxiety (B = 4.69, p<0.01, β=0.34). 'Being female', 'being students of social sciences faculty', 'dissatisfaction with current education, financial condition and future career' were found to be significant predictors of students' psychological disorders. In terms of lifestyle factors, participants with high and excessive recreational screen time were significantly more vulnerable to depression (B = 1.25, p<0.01, β=0.097 and B = 1.75, p<0.01, β=0.12) and anxiety (B = 0.86, p = 0.02, β=0.08 and B = 1.22, p<0.01, β=0.096). Additionally, 'weekly physical inactivity', 'dissatisfaction with daily sleep', 'short and long sleep duration', 'low and high daily meal intake frequency' and 'alcohol consumption' were inextricably linked with students' depression and anxiety.

CONCLUSION

The prevalence of provisional as well as major depressive and anxiety disorders among university students in Bangladesh is significantly high and augmented in nature. This study provides significant information about the adverse impacts of university socio-cultural environment and students' lifestyle factors on their psychological health conditions.

[The prognostic significance of biological rhythms assessment in depression]

AIM

To assess the prognostic significance of biological rhythms in depression on the example of the individual chronotype.

MATERIAL AND METHODS

One hundred patients (women 68%), aged 18-77 years, mean age 48±16, were examined before and after 8 weeks of treatment. The Morningness-Eveningness Questionnaire (MEQ) was used. Treatment response (a decrease of 50% in total MADRS scores to the 8^th week of treatment) and dynamics of depression severity (dMADRS; R) were assessed.

RESULTS AND CONCLUSION

Evening chronotype was found to be associated with poor prognosis. TCAs and SSRIs were more effective in eveningness, other antidepressants - in morningness. MEQ changes during and after treatment may reflect the resynchronizing activity of antidepressants.

Sleep better, feel better? Effects of a CBT-I and HT-I sleep training on mental health, quality of life and stress coping in university students: a randomized pilot controlled trial

BACKGROUND

The SWIS sleep training for university students showed promising results regarding subjective and objective sleep parameters. As sleep disorders and impaired sleep quality are closely related to various aspects of mental health, the current study examines the effects of the SWIS sleep training on mental health in university students.

METHODS

Fifty six university students (M = 25.84, SD = 5.06) participated in the study, 68% were women. Forty one were randomly assigned to the SWIS treatment (pre-post-follow-up), 15 to a Waiting List Control condition (WLC, pre-post). Besides sleep-related measures, the students completed four online questionnaires measuring mental health, quality of life and stress coping strategies. Effect sizes for the pre-post data were compared between the conditions, long-term effects were calculated with repeated measures ANOVA or Friedman ANOVA. Long-term clinical changes were analyzed with the Reliable Change Index (RCI).

RESULTS

The pre-post comparisons between SWIS and WLC revealed lower depression scores in both conditions, a better physical state in the SWIS condition and less maladaptive stress coping strategies in the WLC students. The long-term results of SWIS provided significant improvements regarding the students' somatic complaints, reduced anxiety, an improved physical state and a better quality of life with moderate to large effect sizes. Most of the significant improvements occurred between pre- and follow-up measurement. These statistically significant results were also reflected in clinically significant changes from pre- to follow-up-test.

CONCLUSIONS

SWIS and WLC condition both improved in two mental health variables immediately after the training. These findings may be explained by unspecific treatment expectation effects in the WLC. Interestingly, most mental health outcomes showed significant improvements after 3 months, but not immediately after the training. These positive long-term effects of the SWIS training on mental health indicate that the transfer of strategies might simply need more time to affect the students' mental health.

TRIAL REGISTRATION

The current study was retrospectively registered at German Clinical Trials Register (ID: DRKS00014338 , registration date: 20.04.2018, enrolment of first participant: 14.04.2015).