Quality of Sleep and Depression in College Students: A Systematic Review

Past-year counseling and therapy use and severity of depression among university students with depression: The Healthy Minds Study

Background: This exploratory study examined the associations between sociodemographic factors and past-year counseling or therapy use by depression severity among college students with depression. Participants: This cross-sectional analysis included n = 8090 participants from the Healthy Minds Study Winter 2021 Survey. Methods: Main effects and stratified multivariable logistic regression models assessed the relationship between sociodemographic factors and counseling/therapy independently and by depression severity. Results: Depression severity and counseling or therapy use were not independently associated (χ2 = 1.34, p = 0.77). Fourth + year students showed a graded response for past-year counseling/therapy use across depression severity (aOR range: 0.57-0.78, 95% CI range: 0.49-1.24). Males and students living with relatives, and those with stressful financial situations also showed lower odds of past-year counseling/therapy use. Conclusion: Findings indicate vulnerable subpopulations of college students that need support. Future interventions should identify barriers to treatment and pathways to support these students.

Depressive symptoms' trajectories since adolescence and sleep quality in early adulthood: results from the EPITeen cohort

OBJECTIVES

We aimed to estimate the association between depressive symptoms' trajectories during adolescence and young adulthood and sleep quality in early adulthood.

METHODS

Data from 802 participants of the EPITeen study, evaluated at 13, 17 and 21 years of age, were analysed. Depressive symptoms were assessed using the Beck Depression Inventory-II and three trajectory classes from adolescence to adulthood were previously identified (High, Moderate, Low). The prevalences of poor sleep quality, overall (score>5) and in its specific dimensions: subjective sleep quality, sleep latency, sleep duration, sleep efficiency, sleep disturbance, use of sleep drugs and daytime dysfunction (score≥2), at 21 years of age were evaluated using the Pittsburgh Sleep Quality Index. Associations were estimated using adjusted odds ratio (OR) and the respective 95 % confidence intervals (CI).

RESULTS

At 21 years of age, 29.8 % young adults presented poor sleep quality, which was significantly different between those in the Low and High depressive trajectories (14.3 and 53.1 %, respectively, p<0.001). Compared with participants in the Low trajectory, those in the High trajectory were more likely to present poorer sleep quality at 21 years of age (OR=6.34 95 % CI: 3.94-10.21), particularly worse levels of sleep disturbance (OR=5.89 95 % CI: 2.84-12.21), daytime dysfunction (OR=7.63 95 % CI: 3.63-16.06) and subjective sleep quality (OR=6.61 95 % CI: 3.69-11.85).

CONCLUSIONS

Poor sleep quality in early adulthood was more frequent among individuals who had high levels of depressive symptoms since adolescence. Monitoring depression until adulthood may help to identify those at higher risk of sleep problems which, in turn, can lead to worse health outcomes over time.

Are Sleep Parameters and Chronotype Associated with Eating Disorder Risk? A Cross-Sectional Study of University Students in Spain

Objectives: Eating disorders (EDs) have emerged as a growing public health concern. However, the role of sleep in this context remains underexplored. The aim of this cross-sectional study was to determine the associations between sleep parameters and chronotype with ED risk in a sample of university students in Spain. Methods: ED risk was assessed via the Sick, Control, One stone, Fat, Food Questionnaire, and sleep quality was assessed via the Pittsburgh Sleep Quality Index. Other sleep parameters and chronotypes were self-reported. Sociodemographic, body composition, lifestyle, and depressive symptom data were collected. Logistic and linear regression models adjusted for the main confounders were used to estimate the odds ratios (ORs) and 95% confidence intervals (CIs) of the study associations. Results: A total of 403 students (70.2% female) aged 18 to 30 years participated in the study. Those reporting poor sleep quality (OR = 1.85, 95% CI 1.08-3.17, p = 0.025) and ≤6 h of night-time sleep duration (OR = 4.14, 95% CI 2.00-8.57, p < 0.01) were more likely to be at risk of EDs in the adjusted analyses. The association between night-time sleep duration and the risk of ED did not remain significant when we adjusted for sleep quality. In addition, an evening chronotype was associated with an increased risk of EDs (OR = 1.68, 95% CI 1.07-2.66, p = 0.039) only before adjustment for confounders. Conclusions: Among university students, poorer sleep quality was cross-sectionally associated with EDs. Future prospective studies are needed to examine whether promoting sleep quality may serve as an effective strategy for preventing the risk of EDs.

Internet addiction, sleeping habits and psychological distress in Brazilian adolescents and young adults

BACKGROUND

The internet is widespread in modern society and has raised concerns about excessive usage and its consequences for different aging groups.

OBJECTIVE

This study explores the relationships between internet addiction, sleep patterns, and psychological distress in adolescents and young adults.

MATERIALS AND METHODS

In order to assess this phenomenon, an exploratory cross-sectional study was conducted in southern Brazil from October to December 2023. A questionnaire, administered via Google Forms, collected data from 618 participants aged 15-36. The participants consisted of a non-probabilistic community sample selected based on convenience criteria. Instruments included a sociodemographic questionnaire, the Internet Addiction Test, Depression, Anxiety, and Stress Scale, and Social Media Engagement Questionnaire.

RESULTS

It was categorized 48.1% as having moderate internet addiction, and classified 0.8% as having severe internet addiction. Correlation analysis revealed positive associations between internet addiction and depression, anxiety, and stress. Logistic regression identified internet addiction and overall psychological distress as predictors of sleep difficulties, along with unemployment status. The findings highlight the detrimental impact of excessive internet use on sleep quality and mental health. The bidirectional relationship between internet addiction and psychological distress underscores the complex interplay between these variables.

CONCLUSIONS

This study underscores the urgent need for interventions targeting internet addiction and its associated consequences in adolescents and young adults. Addressing internet addiction levels and promoting healthy internet usage habits are crucial steps in mitigating the adverse effects on mental health and sleep quality. There is a need for targeted interventions, protocols, and preventive measures to mitigate the adverse effects of excessive internet use on mental health and sleep quality. Public health strategies should include IA and its consequences in health programs with multidisciplinary approaches and protocols for treatments for behavioral addictions. The study emphasizes the multifaceted nature of internet addiction and its implications for mental health and sleep patterns.

Mind wandering, poor sleep, and negative affect: a threefold vicious cycle?

Mind wandering (MW) is intricately linked to sleep and affect, bearing clinical relevance for various psychiatric conditions, notably attention deficit/hyperactivity disorder, depression, and anxiety disorders. Most reviews concur that the relationship between disturbed sleep and negative affect is bidirectional. The directional relationships between MW propensity and disturbed sleep, as well as MW propensity and negative affect, are less clear. Therefore, this brief review aims to examine the limited studies that have directly explored temporally sequential relationships. These studies provide clear evidence for an impact of affect on MW and of MW on sleep, along with less unequivocal evidence for an influence of MW on affect and sleep on MW. Collectively, these individual reinforcement loops may constitute a threefold vicious cycle, which may contribute to the development and perpetuation of psychiatric disorders. Available data convincingly suggest an impact cycle in the direction "MW propensity → disturbed sleep → negative affect → MW propensity," while evidence for the inverse impact cycle is less pronounced.

Depression and suicidal ideation among Chinese college students during the COVID-19 pandemic: the mediating roles of chronotype and sleep quality

BACKGROUND

This study was intended to investigate the correlation between depression and suicidal ideation among Chinese college students during the COVID-19 pandemic and the potential mediating roles of chronotype and sleep quality in this relationship .

METHODS

A sample of 4,768 college students was selected from four institutions in Anhui Province, China, and the study was conducted during the COVID-19 pandemic (November to December 2020) using a stratified, cluster, multi-stage sampling method. This study used the two-item Patient Health Questionnaire (PHQ-2) to assess depressive symptoms, the Morningness-Eveningness Questionnaire 19 (MEQ-19) to determine individual sleep chronotypes (i.e., morning or evening preference), and the Pittsburgh Sleep Quality Index (PSQI) to evaluate sleep quality. Participants were asked about suicidal ideation. MPLUS 8.3 software was used to analyze the mediating effect of chronotype and sleep quality on the relationship between depression and suicidal ideation.

RESULTS

During the COVID-19 pandemic, the prevalence of suicidal ideation among Chinese college students was 5.4%. Depression was inversely correlated with chronotype (beta = - 0.346, P < 0.01) and positively correlated with sleep quality (beta = 0.846, P < 0.001), indicating that students experiencing depressive symptoms were more likely to have a later chronotype and poor sleep quality. A later chronotype (beta = - 0.019, P < 0.05) and poor sleep quality (beta = 0.066, P < 0.01) predicted suicidal ideation. Depression emerged as a direct and significant risk factor for suicidal ideation (effect value = 0.535, 95% confidence interval: 0.449 ~ 0.622). Chronotype and sleep quality were found to have potential mediating effects on the relationship between depression and suicidal ideation; however, the chain-mediating effect of chronotype and sleep quality was not statistically significant.

CONCLUSIONS

Our findings suggest that during the COVID-19 pandemic, depression can precipitate suicidal ideation through its influence on sleep chronotype and quality. These compelling findings highlight the urgency of early intervention strategies intended to mitigate suicidal thoughts, particularly among students exhibiting depressive symptoms, who experience disrupted sleep patterns and poor sleep quality.

Qi stagnation and qi deficiency are associated with depression in college students

Objective

The current study aims to investigate the correlations between qi stagnation, qi deficiency, and depression levels among college students.

Method

This study investigated 403 college students and measured their levels of depression, qi stagnation, and qi deficiency to analyze the relationship between these three variables. Pearson correlation and linear regression statistical techniques were utilized.

Results

(1) On average, college students reported mild depressive symptoms; (2) college students manifested low levels of qi stagnation and qi deficiency. (3) There exists a strong positive correlation between qi stagnation and qi deficiency; (4) a moderate positive correlation is present between depression and both qi stagnation and qi deficiency among college students. All these results support the mechanism by which qi stagnation and qi deficiency contribute to depression in traditional Chinese medicine theory.

Conclusion

Qi stagnation and qi deficiency are moderately associated with depression levels in college students. It is feasible to use traditional Chinese physical therapy for qi regulation to alleviate depressive symptoms among college students.

The Relationship between Lifestyle Behaviors and Mental Illness in Women in College

Women, particularly those in college, have the highest prevalence of any mental illness (MI), which negatively impacts social connection, academic performance, and health. Research into alternative treatment methods suggests that lifestyle behaviors are safer and more effective than medication at reducing MI symptoms. This study explores the relationship between lifestyle behaviors and MI in college women through an online survey. The survey included a food frequency questionnaire (Diet History Questionnaire II) and questions about lifestyle behaviors, symptoms of MI, and sociodemographic information. Diet quality was calculated using the Healthy Eating Index (HEI), and MI was assessed using the Depression, Anxiety, and Stress Scale-21. Independent sample t-tests, ANOVA, and chi-square analyses were conducted. A total of 222 women completed the survey. Overall, diet quality was poor, with a mean HEI of 62.6 ± 10.4. No significant differences or associations were found between MI groups for total HEI score, sleep, or tobacco use. However, alcohol use was significantly associated with MI (p = 0.049). Individuals with fewer concurrent unhealthy lifestyle behaviors had less severe symptoms of depression (p = 0.009) and anxiety (p < 0.001) compared to those with more unhealthy lifestyle behaviors. In this study, alcohol use was the only independent lifestyle behavior associated with symptoms of MI. We also found an association between the number of concurrent unhealthy lifestyle behaviors and depression and anxiety symptoms. Future research should explore the benefits of a healthy lifestyle on MI in a more diverse sample of women.

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

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.

Social support moderates the relationship between sleep quality and mental health: A Chinese Fangcang shelter hospital-based study in asymptomatic COVID-19 carriers

This study aimed to determine the association between sleep quality and mental health in COVID-19 carriers in China and evaluate the moderating effects of perceived social support. 1283 asymptomatic COVID-19 carriers were enrolled from March 2022 to April 2022 among Ruijin Jiahe Fangcang shelter hospital in Shanghai, China. They were assessed using the Pittsburgh Sleep Quality Index (PSQI), the General Health Questionnaire (GHQ), and the Perceived Social Support Scale (PSSS) respectively. Participants had an average age of 39.64 years and 59.6 % of whom were male. In total, 34.3 % of participants presented with poor sleep quality; 41.1 % showed bad mental health. Sleep quality was positively related to mental health (r = 0.321, P < 0.001, 95 %CI = 0.267, 0.369) and social support was negatively related to mental health (r = -0.414, P < 0.001, 95 %CI = -0.457, -0.367). Meanwhile, social support played a moderating role between sleep quality and mental health (β = 0.066, P < 0.05, 95 %CI = 0.016, 0.117). These findings indicate that mental health resulting from the COVID-19 pandemic are increasingly apparent in China and provide a focus on sleep quality for the early prevention of mental health in asymptomatic carriers. And social support may be beneficial to the improvement of mental health, especially for people in crisis (e.g., COVID-19 pandemic).

Protocol for a Study Investigating Context-Specific Sedentary Behaviors and Cardiometabolic Health in College-Based Young Adults (CONTEXT-SB)

Background

Sedentary behavior (SB) is detrimental to cardiometabolic disease (CMD) risk, which can begin in young adulthood. To devise effective SB-CMD interventions in young adults, it is important to understand which context-specific sedentary behaviors (CS-SB) are most detrimental for CMD risk, the lifestyle behaviors that co-exist with CS-SBs, and the socioecological predictors of CS-SB.

Methods

This longitudinal observational study will recruit 500 college-aged (18-24 years) individuals. Two laboratory visits will occur, spaced 12 months apart, where a composite CMD risk score (e.g., arterial stiffness, metabolic and inflammatory biomarkers, heart rate variability, and body composition) will be calculated, and questionnaires to measure lifestyle behaviors and different levels of the socioecological model will be administered. After each visit, total SB (activPAL) and CS-SB (television, transportation, academic/ occupational, leisure computer, "other"; ecological momentary assessment) will be measured across seven days.

Discussion

It is hypothesized that certain CS-SB will show stronger associations with CMD risk, compared to T-SB, even after accounting for coexisting lifestyle behaviors. It is expected that a range of intra-individual, inter-individual, and physical environment socioecological factors will predict CS-SB. The findings from this study will support the development of an evidence-based, multi-level intervention to target SB reduction and mitigate CMD risk in CBYA.

The Relationship Between Academic Stress, Sleep Quality, and Psychological Wellbeing in Pasifika and New Zealand European Students at the University of Otago

BACKGROUND

Pasifika students in New Zealand are overrepresented in poor academic outcomes, and their academic challenges may potentially influence their wellbeing. We aim to: 1) compare the academic stress, sleep quality, and psychological wellbeing of Pasifika and New Zealand European (NZE) anatomy students at the University of Otago, and 2) determine if academic stress mediates the association between their psychological wellbeing and sleep quality.

METHODS

We launched a brief online survey to Pasifika and NZE students in our department. The survey included basic demographics, Perception of Academic Stress Scale, Pittsburgh Sleep Quality Index, Hospital Anxiety and Depression Scale, a short loneliness scale, a reduced morningness-eveningness scale, and the Epworth Sleepiness Scale.

RESULTS

Perceived academic stress were comparable between NZE and Pasifika students, but Pasifika students reported poorer sleep quality than NZE students (t(113) = 14.41, P < .001). In addition, Pasifika students reported more loneliness (t(119) = 8.933, P < .001), less anxiety symptoms (t(120) = 2.469, P = .015), and less of a morning person (t(121) = 2.618, P = .010) than NZE students, but they had comparable depressive symptoms and daytime sleepiness. After controlling for age, ethnicity and gender, we found that academic stress fully mediated the relationship between anxiety or depressive symptoms and poor sleep quality. Furthermore, academic stress partially mediated the relationship between loneliness and poor sleep quality in our cohort.

CONCLUSION

Our findings highlight the importance for academic institutions to support students' wellbeing, including ethnic minority students such as Pasifika students in New Zealand.

Nocturnal exposure to a preferred ambient scent does not affect dream emotionality or post-sleep core affect valence in young adults

Emotions experienced within sleep mentation (dreaming) affect mental functioning in waking life. There have been attempts at enhancing dream emotions using olfactory stimulation. Odors readily acquire affective value, but to profoundly influence emotional processing, they should bear personal significance for the perceiver rather than be generally pleasant. The main objective of the present sleep laboratory study was to examine whether prolonged nocturnal exposure to self-selected, preferred ambient room odor while asleep influences emotional aspects of sleep mentation and valence of post-sleep core affect. We asked twenty healthy participants (12 males, mean age 25 ± 4 years) to pick a commercially available scented room diffuser cartridge that most readily evoked positively valenced mental associations. In weekly intervals, the participants attended three sessions. After the adaptation visit, they were administered the odor exposure and odorless control condition in a balanced order. Participants were awakened five minutes into the first rapid eye movement (REM) stage that took place after 2:30 a.m. and, if they had been dreaming, they were asked to rate their mental sleep experience for pleasantness, emotional charge, and magnitude of positive and negative emotions and also to evaluate their post-sleep core affect valence. With rs < 0.20, no practically or statistically significant differences existed between exposure and control in any outcome measures. We conclude that in young, healthy participants, the practical value of olfactory stimulation with self-selected preferred scents for enhancement of dream emotions and post-sleep core affect valence is very limited.

Associations between sleep, physical activity, and emotional well-being in emerging young adults: Implications for college wellness program development

Objectives: To examine sleep, physical activity, and their joint associations with physical functioning and affect. Participants: 108 undergraduates completed questionnaires assessing sleep, activity levels, emotional well-being and physical health markers. Results: Participants reported poor sleep quality, suboptimal sleep duration, and inconsistent physical activity. Poor sleep quality was associated with higher fatigue for both active and insufficiently active groups (F = 9.94, p = .002). There was a significant interaction between activity level and sleep duration on negative affect (F = 7.14, p = .009). Students who reported insufficient physical activity and less than 6 hours of sleep had the highest negative affect. Conclusions: Poor sleep quality was associated with increased fatigue. Students who inconsistently exercise and have suboptimal sleep may be at greater risk for affective difficulties. We recommend that college wellness interventions jointly target health behaviors and affect to optimize prevention efforts aimed at addressing physical and mental health outcomes, including depression and chronic illness.

Validating Constructs of the Depression, Anxiety, and Stress Scale-21 and Exploring Health Indicators to Predict the Psychological Outcomes of Students Enrolled in the Pacific Islands Cohort of College Students

The Depression, Anxiety, and Stress Scale-21 (DASS-21) has been used in various countries to assess the mental states of individuals. The objectives of this study were to validate the DASS-21 for use in Guam, an island that endures a high burden of mental health challenges, such as suicide, and examine the predictive impact of selected health indicators on DASS-21 variables. Three years of data (2017-2019) were pooled from the Pacific Islands Cohort of College Students (PICCS) study conducted annually at the University of Guam. In total, 726 students were included in the secondary data analysis. MPlus statistical software was used to perform a confirmatory factor analysis (CFA) for the validation and structural equation modeling (SEM) for the predictive modeling. The results from the CFA suggested an acceptable model fit (RMSEA: 0.073, CFI: 0.901, TLI: 0.889, RMR: 0.044), while SEM suggested that sleep quality and physical activity were significant predictors of DASS-21 variables. Therefore, the DASS-21 is a valid instrument for measuring depression, anxiety, and stress among emerging adults in Guam.

Retrospective Case Study on the Evaluation of Inflammatory Markers, Macrophage Inhibitory Protein-1α and Interferon-γ in Sleep Deprivation Condition

Background and Aim

Sleep is an important physiological process that is necessary for the normal functioning of the body. Sleep greatly affects all aspects of our body, including the immune pathways or immune response system of our body, which plays a determinant role in the development and progression of chronic inflammatory diseases. In this study, we worked to find the relation between sleep deprivation and levels of pro-inflammatory markers macrophage inflammatory protein 1-alpha (MIP-1α) and interferon gamma (IFN-γ). To find the relation between sleep deprivation and levels of pro-inflammatory markers MIP-1α and IFN-γ.

Objective

To find the relation between sleep deprivation and levels of pro-inflammatory markers MIP-1α and IFN-γ.

Materials and Methods

The study was conducted with 40 individuals as participants, of which 20 were sleep-deprived (SD), and 20 had adequate amounts of sleep. The sleep duration details of the individuals were obtained by questionnaire. Blood was withdrawn from all the subjects after due consent from them. Plasma was separated and was used to evaluate their MIP-1α levels and IFN-γ levels.

Results

The MIP-1α levels and levels of IFN-γ were found to be significantly elevated in the SD individuals than that of individuals who had adequate sleep.

Conclusion

Sleep loss and sleep deprivation are associated with altered expressions of key regulatory factors and upregulation of pro-inflammatory cytokines production. Thus, sleep deprivation can be considered to be one of the major contributors to the development and progression of various chronic inflammatory diseases.

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

BACKGROUND

Sleep problem among undergraduate students has become one of the most pressing public health problems. This study aimed to explore the latent class of sleep patterns and the factors affecting sleep in Chinese students of medical university.

METHODS

3423 students participated in the cross-sectional study. The survey consisted of the reduced Morningness-Evening Questionnaire, the Pittsburgh Sleep Quality Index, and Health-Promoting Lifestyle Profile-II. Latent profile analysis and multinominal logistic regression analysis were performed.

RESULTS

Three potential sleep categories were identified: "sleep disorder group" (1.87 %), "daytime dysfunction group" (24.42 %), and "good sleep group" (73.71 %). Compared with the "good sleep group," the "sleep disorder group" showed monthly living expenses (RMB) ≥ 3000 yuan (OR) = 13.04), interpersonal relationships as poor (OR = 3.71), health status as poor (OR = 45.09), circadian rhythm as eveningness (OR = 6.17), and poor health-promoting lifestyles (OR = 2.090) as its risk factors (all p < 0.05). Meanwhile, sophomore (OR = 1.75), junior (OR = 1.52), interpersonal relationships as poor (OR = 1.88), health status as poor (OR = 4.62), intermediate-chronotype (OR = 2.19), eveningness chronotype (OR = 5.66), and health-promoting lifestyles as poor (OR = 1.55) were identified as risk factors for the "daytime dysfunction group" (all p < 0.05).

LIMITATIONS

Causal conclusions can not be drawn and recall bias in data collection.

CONCLUSIONS

Significant population heterogeneity was found in the sleep quality. Implementing targeted interventions focusing on circadian rhythm and lifestyle is crucial to improve the sleep quality of students with different conditions.

Sleep and mental health among youth experiencing homelessness: A retrospective pilot diary study

OBJECTIVES

The goal of this study was to describe the nightly sleep conditions of youth experiencing homelessness, and examine the association between sleep and mental health, both cross-sectionally and using diary data.

METHODS

n = 147 youth (ages 16-24) experiencing homelessness completed a baseline survey assessing self-reported sleep and depressive and anxious symptoms. A subsample of n = 49 completed a follow-up 7-day diary study measuring nightly sleep conditions and daily depressive and somatic symptoms.

RESULTS

According to baseline data, the majority of the sample (71%) reported sleeping less than 7 hours per night on average, and feeling like they did not get adequate sleep, especially among youth identifying as LGBTQ. In a qualitative follow-up question, the plurality attributed poor sleep to mental health woes. Cross-sectionally, youth with lower levels of self-reported sleep quality (more daytime fatigue and insomnia) reported higher levels of depressive and anxious symptoms. The diary data indicated that the most common nightly complaints among shelter utilizers are lack of privacy, noise, and uncomfortable temperatures. Multilevel models suggest that poor sleep conditions predicted higher levels of somatic symptoms the following day, after controlling for baseline levels of depressive and anxious symptoms.

CONCLUSIONS

This study highlights the role environmental context plays in sleep health and its subsequent impacts. Individuals experiencing homelessness lack autonomy over their sleeping environments, and thus cannot make adjustments such as reducing disruptions such as noise, temperature, and light. Importantly, these less-than-ideal sleeping conditions contribute to pre-existing health disparities and may have long-term implications.

Effects of traditional Chinese exercise therapy on pain scores, sleep quality, and anxiety-depression symptoms in fibromyalgia patients: a systematic review and meta-analysis

OBJECTIVE

This study aims to assess the effectiveness of traditional Chinese exercise therapy in alleviating pain, improving sleep quality, and reducing symptoms of anxiety and depression among fibromyalgia patients.

METHODS

We conducted a comprehensive search across various databases, including PubMed, Cochrane Library, Embase, Web of Science, China National Knowledge, VIP database, and Wanfang, to identify randomized controlled trials (RCTs) examining the impact of Traditional Chinese Exercise (TCE) interventions on fibromyalgia. Two independent authors extracted data from the selected studies based on predefined inclusion and exclusion criteria. Meta-analyses were performed using RevMan 5.3.

RESULTS

The analysis encompassed 15 RCTs, comprising 936 participants. The meta-analysis revealed that TCE significantly surpassed the control group in reducing pain scores for fibromyalgia patients, as evidenced by improvements in FIQ [MD = -3.30, 95% CI (- 5.37, - 0.69), z = 2.53, p = 0.01] and VAS [MD = -1.87, 95% CI (- 2.12, - 1.61), z = 6.98, p < 0.00001]. Additionally, TCE demonstrated notable enhancements in sleep quality (PSQI) [MD = -2.23, 95% CI (- 2.86, - 1.61), z = 6.98, p < 0.0001], as well as in alleviating symptoms of anxiety and depression [MD = - 0.59, 95% CI (- 0.80, - 0.39), z = 5.63, p < 0.0001].

CONCLUSION

Traditional Chinese Exercise (TCE) exhibits significant efficacy in ameliorating pain, enhancing sleep quality, and alleviating symptoms of anxiety and depression in fibromyalgia patients.

Within-person reciprocal links between stress, sleep, and depressive symptoms across Latino/a adolescents' transition to and through college

Evidence suggests bidirectional relations between stress, sleep, and depressive symptoms in adolescence and young adulthood. Less research has disaggregated within- and between-person variance in these associations over time or within Latino/a college students. This study examined longitudinal, within-person reciprocal relations between stress, sleep, and depressive symptoms among 181 Latino/a adolescents (M age = 18.10; SD = 0.41, 35% male) transitioning to college. Participants were assessed in their senior year of high school and annually until their fourth year of college. A random intercept cross-lagged panel model (RI-CLPM) was used to parse out within- and between-person sources of variance. Results indicated overall (between-person) relations among depressive symptoms and school/college stress and sleep problems. There were reciprocal within-person links between stress and sleep problems across the first two years of college. Within-person increases in depressive symptoms during the second year of college predicted more stress than usual in the third year, which predicted increased depressive symptoms in the fourth year. More sleep problems than usual in the third year of college predicted higher stress in the fourth year. Findings provide evidence for within-person cross-lagged relations among various domains of adjustment during college and may inform future prevention efforts for incoming Latino/a college students targeting mental health and sleep problems.

Associations of night eating with depressive symptoms among health sciences students living in a postconflict region

Populations affected by war may experience food insecurity, which could predispose them to eating disorders. A cross-sectional study was conducted among health sciences students in Northern Kosovo from November 2018 to March 2019. Data were collected using the sociodemographic Night Eating Questionnaire (NEQ), the Beck Depression Inventory (BDI), and the Beck Anxiety Inventory (BAI). The study sample comprised 534 students. The prevalence of students who had at least mild depression (BDI ≥ 10) was 20.6%. More frequent night eating was consistently associated with a higher EDI score in the total sample as well as in the subgroup of students whose EDI score was ≥ 10. In addition, having poorer sleep quality and having more anxiety symptoms were associated with having stronger depressive symptoms. In a population of health sciences students who live in a post-conflict region, night eating is associated with having stronger depressive symptoms.

Sleep Quality and Perceived Stress among Health Science Students during Online Education-A Single Institution Study

Recently, online education has been gaining prominence in university life. Our survey aimed to examine sleep quality and perceived stress levels among students at the University of Pécs Faculty of Health Sciences. A cross-sectional, quantitative, descriptive survey was conducted between February and March 2023. The online survey included the Hungarian versions of the internationally validated Athens Insomnia Scale (AIS) and Perceived Stress Scale (PSS). Statistical analysis involved descriptive statistics, independent t-tests, analysis of variance (ANOVA), and Mann-Whitney and Kruskal-Wallis tests (p < 0.05). We analyzed 304 responses, and females dominated (n = 270; 88.8%). Students in a relationship had significantly higher AIS scores (t = -2.470; p = 0.014). Medium average (2.50-3.49) students and those who rarely/never exercise showed significantly higher AIS and PSS (p ≤ 0.05). Students on the phone/watching a series during online education, daily laptop/TV use for more than 2 h, and pre-sleep use of smart devices for more than 60 min also negatively affected AIS and PSS scores (p ≤ 0.05). Nursing, physiotherapy, and radiography students were the most affected regarding insomnia and perceived stress (p ≤ 0.05). Our survey shows that excessive smart device use and lack of exercise are associated with higher stress levels and poorer sleep quality.

Chronotypes and their association with sleep quality among Chinese college students of Anhui Province: a cross-sectional study

OBJECTIVES

To describe the prevalence of chronotype and sleep quality among Chinese college students and explore the relationship between chronotype and sleep quality.

DESIGN

A cross-sectional study.

SETTING

Four colleges and universities in Anhui, China, between November and December 2020.

PARTICIPANTS

A total of 4768 college students were recruited using a stratified, multistage, cluster sampling survey.

OUTCOME MEASURES

Morningness-Eveningness Questionnaire 19 was used to determine the chronotype of the students and the Pittsburgh Sleep Quality Index (PSQI) was used to measure their sleep quality. The multiple logistic regression model was used to explore the potential association between chronotype and sleep quality.

RESULTS

The self-reported proportions of evening-type (E-type), neutral-type and morning-type among college students were 51.17%, 45.14% and 3.69%, respectively. The mean PSQI score was 4.97±2.82 and the prevalence of poor sleep quality was 18.2%. After adjusting the covariates by multiple logistic regression analysis, E-type was positively associated with subjective sleep quality (OR=1.671, 95% CI 1.414 to 1.975), sleep latency (OR=1.436, 95% CI 1.252 to 1.647), sleep duration (OR=2.149, 95% CI 1.506 to 3.067), habitual sleep efficiency (OR=1.702, 95% CI 1.329 to 2.180), daytime dysfunction (OR=1.602, 95% CI 1.412 to 1.818) and overall poor sleep quality (OR=1.866, 95% CI 1.586 to 2.196).

CONCLUSIONS

College students mainly exhibited E-type, and an elevated prevalence of poor sleep quality existed among these students. The E-type was positively associated with poor sleep quality.

Association Between Occupational Stress and Sleep Quality: A Systematic Review

Occupational stress and sleep quality are prevalent issues that can impact the physical and mental well-being of adults. An association between occupational stress and sleep quality has been found. However, this association is not entirely the same across different occupational groups. Additionally, variations are present in the research design and instruments employed.This systematic review aims to investigate the association between these two factors and identify gaps and limitations in current research. Articles published between January 1, 2011, and December 31, 2022, were retrieved from the WOS, Scopus, and PubMed databases. Out of 1225 articles, 38 studies met the predetermined inclusion and exclusion criteria and were included in the review. In the study, research designs, samples, instruments, and associations between occupational stress and sleep quality were statistically analyzed.These studies encompassed a diverse range of occupations, including both blue-collar and white-collar workers. Cross-sectional study is the most common research method. The Pittsburgh Sleep Quality Index (PSQI) was the most frequently utilized tool for assessing sleep quality, while there was a wide variety of measurement tools employed to assess occupational stress. The association between occupational stress and sleep quality consistently demonstrated a negative association, although the specific dimensions varied among studies. Moreover, several other factors were identified to have direct or indirect effects on occupational stress and sleep quality. For future research in this field, we propose four recommendations: (1) Consider utilizing objective measures to assess occupational stress and sleep quality. (2) Employ controlled experiments to further validate the causal relationship between occupational stress and sleep quality. (3) Investigate occupational groups that have received less attention. (4) Take into account the potential influence of other factors on occupational stress and sleep quality.

Association between psychological discomforts and sleep quality among people living with HIV/AIDS

BACKGROUND

Psychological discomfort and sleep problems are considered separate disorders. Due to the high prevalence of both disorders among people living with HIV (PLWH), this study was designed to evaluate how those challenges are present among PLWH.

METHOD

A cross-sectional study was conducted using data from a national survey of 1185 confirmed PLWH from 15 provinces in Iran from April to August 2019. Psychological discomfort and sleep quality were assessed using standardized versions of related Persian questionnaires. Logistic regression was used to assess the association between psychological discomfort and sleep quality in PLWH.

RESULTS

The overall prevalence of poor sleep quality, depression, anxiety, and stress was 47.71%, 50.95%, 44.26%, and 41.77%, respectively. The results of multivariate-adjusted logistic regression showed that each psychological discomfort covariate increased the odds of poor sleep quality. Depression by adjusting for anxiety and stress, anxiety by adjusting for depression and stress, and stress by adjusting for depression and anxiety all increased the odds of poor sleep quality.

CONCLUSION

A high prevalence of psychological discomfort was observed in PLWH. Depression, anxiety, and stress were strongly associated with sleep quality. PLWH needed more attention and social support in order to reduce sleep and psychological issues.

Alterations of functional connectivity in young people with depression mediate the relationship between sleep quality and cognitive function

BACKGROUND

Sleep disturbances is common in young people with depression, and poor sleep quality affects the ability to learn. In this study, we examined possible resting-state functional connectivity abnormalities between regions of interest, and clarified the relationship with depressive symptoms, sleep quality, and cognitive function.

METHODS

Resting-state functional magnetic resonance imaging (fMRI) was collected on 42 healthy controls (HCs), 82 youth depressive patients (44 without sleep disturbances (NSD), and 38 with sleep disturbances (SD)). Regions of interest were defined by using Brainnetome Atlas. Functional connectivity was calculated, and its associations with depressive symptoms, sleep quality, and cognitive function were examined using correlation analysis and mediation analysis.

RESULTS

The left and right caudal of cingulate gyrus, tongue and larynx region of postcentral gyrus were significant brain regions in NSD versus SD. The average functional connectivity between these regions was associated with poor sleep quality (r = 0.368, p = 0.001) and worse working memory (r = -0.256, p = 0.023) and mediated the relationship between sleep quality and working memory (c = -0.738, c' = -0.500).

LIMITATION

Data consistency in this study was not good enough. This study did not monitor sleep rhythms to provide objective sleep-related data.

CONCLUSION

The functional connectivity between the left and right caudal of cingulate gyrus with tongue and larynx region of postcentral gyrus may be the neural mechanism by which sleep disturbances affect working memory. This provides an intervention target for clinically improving cognitive function in young people with depression.

Investigating the causal effects of smoking, sleep, and BMI on major depressive disorder and bipolar disorder: a univariable and multivariable two-sample Mendelian randomization study

Background

Mental disorders, characterized as products of biopsychosocial interactions, have emerged as a leading contributor to the worldwide rise in overall morbidity and disability rates. Life's essentials can affect nearly every aspect of our lives, from physical to mental health. In this study, we try to identify the associations between life's essentials and mental disorders.

Method

Three assumptions of Mendelian randomization (MR) were applied to obtain the genetic instruments associated with smoking, sleep, and body mass index (BMI) in genome-wide association studies. Then, we conducted univariable MR (UVMR) and multivariable MR (MVMR) two-sample analyses to estimate the causal effects of these life's essentials on two mental disorders namely, major depressive disorder (MDD) and bipolar disorder (BD). Additionally, multiple sensitivity analyses were performed to evaluate the reliability and stability of the study results.

Results

In the MR analysis of the association of smoking, sleep, and BMI with MDD, we obtained 78, 39, and 302 genetic instruments, respectively. Smoking [odds ratio (OR), 1.03; 95% confidence interval (CI), 1.01-1.06; p = 0.004], sleep (OR, 1.04; 95% CI, 1.02-1.06; p < 0.001), and BMI (OR, 1.01; 95% CI, 1.01-1.02; p < 0.001) were all considered as risk factors for MDD and were independent of each other (smoking: OR, 1.03, 95% CI, 1.01-1.06, p = 0.008; sleep: OR, 1.03, 95% CI, 1.01-1.05, p = 0.001; and BMI: OR, 1.01, 95% CI, 1.01-1.02, p < 0.001). Additionally, 78, 38, and 297 genetic instruments were obtained in the MR analysis of smoking, sleep, and BMI with BD, respectively. Causal associations were observed between smoking (OR, 2.46; 95% CI, 1.17-5.15; p = 0.017), sleep (OR, 2.73; 95% CI, 1.52-4.92; p < 0.001), and BD, and smoking (OR, 2.43; 95% CI, 1.69-3.16; p = 0.018) might be a mediator in the causal effects of sleep on BD. Finally, there was no inconsistency between sensitivity and causality analysis, proving that our results are convincing.

Conclusion

The study results provide strong evidence that smoking, sleep, and BMI are causally related to MDD and BD, which need further research to clarify the underlying mechanism.

Insomnia and depression levels among Malaysian undergraduate students in the Faculty of Medicine and Health Sciences (FMHS), Universiti Putra Malaysia (UPM) during Movement Control Order (MCO)

Rapid outbreak of coronavirus disease 2019 has caused the implementation of the movement control order (MCO) which aimed to reduce the spread in Covid-19 infections. While some may find it easy to adjust to the new norm, others found it difficult to switch from their normal routines and habits as according to the MCO SOP. This resulted in a more frequent insomnia and depression that subsequently impacted their mental health. Insomnia and depression levels are examined in this study as they relate to the Covid-19 Pandemic and the MCO among Malaysian undergraduate health sciences students at the Faculty of Medicine and Health Sciences, UPM. Random sampling methods were utilised with consideration of inclusion and exclusion criteria. The Patient Health Questionnaire-9 (PHQ-9) and the Insomnia Severity Index (ISI) were the instrument packages used in this investigation. An internet platform was used to distribute the questionnaire. Based on the results, it is concluded that depression and insomnia are significantly correlated, with a p-value of 0.05. This study also revealed the link between the severity of insomnia and the severity of depression among UPM students studying health sciences. The percentage of students with depression and insomnia was rather high (54.9% and 33.9%, respectively), and this occurred during the second wave of Covid-19 cases in Malaysia.

Nighttime sleep quality & daytime sleepiness across inpatient psychiatric treatment is associated with clinical outcomes

Prior research has demonstrated the strong link between sleep disturbance and mental health outcomes, including the importance of examining nighttime sleep quality and daytime sleepiness as separate constructs in relation to mental health outcomes. As such, the current study examined patients' self-reported nighttime sleep quality and daytime sleepiness trajectories over the course of inpatient treatment and how these trajectories related to treatment outcomes. Participants were 1,500 adults who voluntarily admitted to an inpatient psychiatric hospital. Mental health outcomes measured were emotion regulation problems, anxiety severity, depression severity, nightmare severity, and suicide risk. Group-based trajectory modeling was used to determine nighttime sleep quality and daytime sleepiness trajectory groups. Multivariate analyses of covariance (MANCOVA) were used to determine between group differences on mental health outcomes. Patients fit into distinct groups based on their trajectories of nighttime sleep quality and daytime sleepiness across inpatient psychiatric treatment: Low, Moderate, and High. Individuals with greater nighttime sleep disturbance and greater daytime sleepiness throughout treatment (High group) demonstrated significantly increased suicide risk, higher nightmare severity, more anxiety, more depression, and more emotion regulation difficulties at discharge. Results suggest an important connection exists between nighttime sleep quality and excessive daytime sleepiness and mental health outcomes for inpatient psychiatry.

Gender-Based Analysis of the Association Between Mental Health, Sleep Quality, Aggression, and Physical Activity Among University Students During the COVID-19 Outbreak

COVID-19 has spread throughout the world, resulting in significant morbidity, mortality, and negative psychological effects among general population. However, university students are particularly vulnerable in terms of mental health. The present study evaluated the association between mental health, quality of sleep, aggression, and physical activity in university students in Mexico after 1 year of dealing with the COVID-19 pandemic in Mexico, including a gender-sensitive analysis. Participants (935 university students) completed an online questionnaire which collected information regarding demographic data, psychological distress (IES-R scale), depression, anxiety, and stress (DASS-21), aggressiveness Buss-Perry Aggressive Questionnaire, sleep quality (PSQI) and physical activity (IPAQ-S). Findings showed that female students showed significantly higher scores in psychological distress, anxiety, stress scores and sleep quality, as compared to male students. By contrast, male students showed significantly higher scores on aggressiveness than female students. In addition, on physical activity, females performed significantly higher MET-min/week on moderate and high levels. Finally, liner regression model accounted for approximately 73.5% of the variance in DASS-21 scores, with the body mass index, IES-R, Pittsburgh Sleep Quality Index, and IPAQ subscales, emerging as significant individual (positive) predictors. Therefore, the pandemic affected female and male students differently. Female students reported more psychological distress, anxiety, and stress while male students reported higher aggressiveness. The differences observed may be due to physiological differences, the response to stress, and differences in sensitivity to life events.

Association Involving Possible Sleep Bruxism, Stress, and Depressive Symptoms in Brazilian University Students: A Cross-sectional Study

The aim of the present study was to examine the association regarding sleep bruxism (SB), depression, and stress in Brazilian university students. We conducted a cross-sectional study with a large-sample of university students ( n  = 2,089) in the city of Pelotas, Rio Grande do Sul, Southern Brazil. A self-administered questionnaire was sent to classrooms to evaluate socioeconomic and demographic characteristics. Possible SB was detected by self-report according to the International Consensus on The Assessment of Bruxism Criteria (2018). The Patient Health Questionnaire-9 and the Perceived Stress Scale were used to assess depression and stress symptoms respectively. Crude and adjusted Poisson regression analyses were performed. The prevalence of possible SB, high level of stress, and depressive symptoms in the sample were of 20.4%, 16.6%, and 16.6% respectively. Stress in female students was significantly associated with an increased prevalence of possible SB, but not in male students. Regarding depression, the prevalence of SB was 28% higher in students with depressive symptoms. Students with stress or depression had a 35% higher prevalence of SB than those without any symptoms. Conclusion  The findings have shown that university students with stress and depressive symptoms were more likely to be detected with possible SB.

What complex factors influence sleep quality in college students? PLS-SEM vs. fsQCA

Introduction

Sleep quality has a significant impact on the health-related quality of life, particularly among college students. This study proposes a framework for identifying factors that influence college students' sleep quality, including stress, self-control, bedtime habits, and neighborhood environment.

Methods

The study employed a cross-sectional analytical approach on a convenience sample of 255 medical students from a private university in China during the 2021/2022 academic year, of which 80.39% (205) were women. Two complementary methodologies, partial least squares-structural equation modeling (PLS-SEM), and fuzzy sets qualitative comparative analysis (fsQCA), were utilized in the study.

Results

The results of the PLS-SEM analysis suggest that Stress and Self-control act as mediating variables in the model, with Bedtime habits and Neighborhood environment influencing sleep quality through these variables. Additionally, the fsQCA analysis reveals that Bedtime habits and Neighborhood environment can combine with Stress and Self-control, respectively, to influence sleep quality.

Discussion

These findings provide insight into how multiple factors, such as Stress, Self-control, Bedtime habits, and Neighborhood environment, can impact college students' sleep quality, and can be used to develop intervention programs aimed at improving it. Moreover, the use of both methodologies enables the expansion of new methodological approaches that can be applied to different contexts.

Associations between COVID-19 sleep patterns, depressive symptoms, loneliness, and academic engagement: a latent profile analysis

Background: The COVID-19 pandemic has had important implications for college students' socioemotional and academic well-being. Sleep problems were common during this time, which may have further impacted well-being. Methods: Five hundred and fifty-two college students (Mage = 19.81; 58% female; 42% White) completed a survey in Fall 2021 reflecting on behaviors/emotions (sleep, depressive symptoms, loneliness, academic engagement) experienced during the first peak of COVID-19 and over the past month. Latent profile analysis was conducted to identify subgroups of sleepers during peak-COVID in relation to well-being during and after the initial peak. Results: Four sleep profiles were identified: Optimal (49%), High Latency/Medicated (23%), Average/Fair (16%), Low-Duration (12%). During peak-COVID, depression and loneliness were highest in High Latency/Medicated and Low-Duration subgroups; academic engagement was highest for Optimal sleepers. Following peak-COVID, academic engagement was highest for Average/Fair sleepers. Conclusions: Findings highlight heterogeneity in students' sleep patterns during the initial peak of COVID-19 and their relation to well-being during and post-peak-pandemic.

Problematic internet use and sleep quality in adolescents with major depressive disorder

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Does ethnic-racial socialization matter? A within-person analysis of racial discrimination and sleep health among Black and Latinx emerging adults

OBJECTIVES

Emerging work suggests that racism-related stressors may contribute to adverse sleep health, yet little is known about how culturally relevant resources may influence the relationship between racism-related stressors and adverse sleep health. The aim of this study was to examine associations between weekly reports of racial hassles and young adults' sleep health (i.e., sleep onset latency, total sleep time, sleep quality) and to determine whether various forms of parental ethnic-racial socialization would moderate these associations.

METHODS

Participants were 141 college students (Mage = 20.7 years, standard deviation (SD) = 1.22, 70% female) who identified as either Black (n = 88; 62.4%) or Latinx (n = 53; 37.6%). Participants completed an initial 1.5-hour assessment in the laboratory and 4 weekly sleep diary surveys (assessed sleep health and depressive symptoms).

RESULTS

Weekly racial hassles are related to greater sleep onset latency, decreased total sleep time, and poorer sleep quality. The promotion of mistrust and cultural socialization significantly moderated associations between weekly racial hassles and sleep onset latency and total sleep time, respectively.

CONCLUSIONS

These results provide supportive evidence that parental ethnic-racial socialization practices, a preemptive cultural resource, may be an understudied mechanism in sleep health research. Future research is needed to clarify the role of parental ethnic-racial socialization in promoting sleep health equity among youth and young adults.

Association between eating disorders and sleep duration among college students: Findings from the National Healthy Minds study

OBJECTIVES

Explore associations between eating disorders (EDs) and sleep duration and the impact of depression symptoms (DSs) in American college students.

PARTICIPANTS

College students from 2018 to 2019 Healthy Minds Study.

METHODS

Multivariate logistic regression evaluated associations between EDs (bulimia, anorexia, binge eating [BED]) and sleep duration. Stratified analyses assessed effect modification by DSs and gender.

RESULTS

Students reporting any eating disorder had no greater risk of not recommended sleep duration during weekdays compared to those with no eating disorder history (Adjusted OR = 0.99, 95% CI: 0.89-1.13). However, subjects reporting BED were at greater risk of deficient sleep during weekends compared to those with no EDs (Adjusted OR = 1.26, 95% CI: 1.01-1.58). This association was not impacted by DSs. However, all EDs were associated with not-recommended sleep duration among those who identified as other gender identity in comparison to those with no EDs.

CONCLUSION

Health educators should monitor academic performance in students with EDs for adequate sleep duration.

Correlation Between Chronotypes and Depressive Symptoms Mediated by Sleep Quality Among Chinese College Students During the COVID-19 Pandemic

Purpose

The COVID-19 pandemic has adversely impacted the mental health of the population. The current study aimed to determine the prevalence of depressive symptoms and sleep disturbances among Chinese college students during the COVID-19 pandemic and investigate the correlations between chronotypes, sleep quality, and depressive symptoms.

Participants and Methods

In the current study, 2526 college students responded anonymously to an online questionnaire survey from 26 May 2020 to 20 July 2020. The participants' chronotypes, sleep quality, and depressive symptoms were evaluated using the Chinese version of the Morning and Evening Questionnaire-5 (MEQ-5), Pittsburgh Sleep Quality Index (PSQI), and Patient Health Questionnaire-9 (PHQ-9). Sociodemographic information of the participants was also acquired. Statistical analyses were performed using Statistical Package for Social Sciences (SPSS) 19.0 software, with the mediating effect assessed by Hayes' PROCESS Macro.

Results

During the COVID-19 pandemic, the prevalence of depressive symptoms and sleep disturbances among Chinese college students surveyed was 54.95% and 48.18%, respectively. From absolute evening chronotype to absolute morning chronotype, the surveyed college students' chronotypes were negatively correlated with their depressive symptoms. Moreover, the mediation analysis showed that the correlation between chronotypes and depressive symptoms was fully mediated by sleep quality. Eveningness college students with poorer sleep quality were more likely to report higher levels of depressive symptoms.

Conclusion

Our findings suggest that during the COVID-19 pandemic, delayed circadian preference (ie, eveningness) may be linked to worse depressive symptoms among Chinese college students, and call for more attention to the sleep quality of Chinese college students as sleep quality fully mediated the correlation between chronotypes and depressive symptoms among them. Reasonable adjustment in bedtime/circadian preference and improvement in sleep quality may help to reduce the prevalence and severity of depressive symptoms among Chinese college students.

Bidirectional associations of physical activity, sleep, and self-reported mental health in young adults participating in an online wellness intervention during the COVID-19 pandemic

Purpose

The purpose of this study was to examine the bidirectional associations of physical activity (PA), sleep, and mental health in young adults participating in an online wellness intervention from October 2021 to April 2022.

Methods

Participants were a sample of undergraduate students from one US university (N = 89; 28.0% freshman; 73.0% female). The intervention was a 1-h health coaching session that was delivered either once or twice by peer health coaches on Zoom during COVID-19. The number of coaching sessions was determined by random allocation of participants to experimental groups. Lifestyle and mental health assessments were collected at two separate assessment timepoints after each session. PA was assessed using the International Physical Activity Questionnaire-Short Form. Weekday and weekend sleep were assessed by two one-item questionnaires and mental health was calculated from five items. Cross-lagged panel models (CLPMs) examined the crude bidirectional associations of PA, sleep, and mental health across four-time waves (i.e., T1 through T4). To control for individual unit effects and time-invariant covariates, linear dynamic panel-data estimation using maximum likelihood and structural equation modeling (ML-SEM) was also employed.

Results

ML-SEMs showed that mental health predicted future weekday sleep (β = 0.46, p < 0.001) and weekend sleep predicted future mental health (β = 0.11, p = 0.028). Although CLPMs showed significant associations between T2 PA and T3 mental health (β = 0.27, p = 0.002), no associations were observed when unit effects and time-invariant covariates were accounted for.

Conclusion

Self-reported mental health was a positive predictor of weekday sleep and weekend sleep positively predicted mental health during the online wellness intervention.

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.

Are health behaviors associated with mental health among tertiary education students? A systematic review of cohort studies

OBJECTIVE

To evaluate the association between health behaviors with mental health among tertiary education students.

METHODS

Six databases were searched until September 2021 for prospective cohort studies evaluating the association between health behavior(s) (dietary intake, physical activity, sedentary behavior, alcohol intake, sleep, smoking or illicit drug use) and mental health. Two independent reviewers screened records for inclusion, extracted data and completed risk of bias assessments.

RESULTS

33 studies were included (14 assessed sleep, 14 alcohol intake, 13 physical activity, 8 smoking, 6 sedentary behavior, 4 diet, 1 illicit drug use). A consistent association between poor sleep, and physical inactivity with increased risk of poor psychological wellbeing, and between poor sleep and increased mental ill-health related outcomes was demonstrated.

CONCLUSION

Findings suggest interventions to address poor sleep and physical inactivity among students may positively impact mental health. Further research of other health behaviors, and their association with mental health, is required.

Relationship between depression and quality of life among students: a systematic review and meta-analysis

The objectives of this systematic review were to estimate the prevalence of depression and to identify the relationship between depression and quality of life (QOL) among high school and university students. Literature search was performed in the Scopus, Embase, PubMed, Scielo, CINAHL and Web of Science databases, following the PRISMA methodology. The results were presented through descriptive approaches and meta-analysis. Thirty-six studies met the eligibility criteria, and twenty-six were included in the meta-analysis. The prevalence of depressive symptoms was 27% (95% CI 0.21-0.33) among students, being high school and university students was 25% (95% CI 0.14-0.37) and 27% (95% CI 0.20-0.34), respectively, and most studies have shown that depression was associated with low QOL. Among the limitations of the study is the difficulty of generalizing the results found, considering the large sample of health students. New studies should be conducted considering the severity, duration, and patterns of depressive symptoms in high school and university students, to better understand the relationship between depression and QOL.

Sleep difficulties and psychological distress among college students during a COVID-19 campus red alert

Objective: The current study examined the extent to which pandemic-specific psychological distress symptoms and perceived stress were associated with sleep difficulties among college students. Participants: Participants included 203 full-time undergraduates from a medium-sized university located in the U.S. Methods: A survey was administered online in December of 2020. Results: Regression analyses showed pandemic-specific psychological distress was associated with the three sleep difficulties. Perceived stress was also associated with these three sleep difficulties of falling asleep (B = 0.078, SE = 0.013, p = .000), difficulty staying asleep (B = 0.080, SE = 0.014, p = .000), and with waking too early (B = 0.043, SE = 0.014, p = .003), and mediated the relationship between psychological distress and each of the sleep difficulties. Conclusions: During public health emergencies health promotion strategies to promote sleep health should include psychoeducational strategies specifically addressing pandemic-specific psychological distress symptoms and perceived stress.

Sleep Hygiene Practices and Its Impact on Mental Health and Functional Performance Among Adults in Tabuk City: A Cross-Sectional Study

Background Poor or imperfect sleep hygiene practices include all factors that promote arousal or disrupt the normal balance of the sleep-wake cycle. It is necessary to clarify the relationship between sleep hygiene behaviors and a person's mental health. This may allow a better understanding of this problem and might help design effective awareness programs about good sleep hygiene practices for reducing the serious outcomes of this problem. Therefore, the current study was conducted to evaluate sleep hygiene practices and assess the impact of sleep hygiene on sleep quality and the mental health of the adult population of Tabuk city, Saudi Arabia. Methodology This cross-sectional, survey-based study was conducted in Tabuk city, Saudi Arabia in 2022. All adult residents of Tabuk city, Saudi Arabia were invited to participate. Participants with incomplete data were excluded from the study. A self-administered questionnaire was developed by the researchers to assess sleep hygiene practices and their impact on the sleep quality and mental health of the study participants. Results The study included 384 adults. There was a significant association between the frequency of sleep problems and poor sleep hygiene practices (p < 0.001). The percentage of subjects who had problems sleeping during the past three months was significantly higher among those having poor sleep hygiene practices (76.5%) than their counterparts (56.1%). The rates of excessive or severe daytime sleepiness were significantly higher among individuals with poor hygiene practices (22.5% versus 11.7% and 5.2% versus 1.2%, p = 0.001). Participants with depression were found to be significantly higher among the poor hygiene group (75.8%) in comparison to those having good hygiene practices (59.6%) (p = 0.001). Conclusions The findings of the present study indicate significant associations between poor sleep hygiene practices and sleep problems, daytime sleepiness, and depression among adult residents of Tabuk city, Saudi Arabia.

Self-reported sleep quality and exercise in polycystic ovary syndrome: A secondary analysis of a pilot randomized controlled trial

OBJECTIVE

To examine the proportion of participants with poor sleep quality, evaluate the associations between sleep quality and anthropometric and cardiometabolic health markers, and evaluate the effect of high intensity interval training (HIIT) and continuous aerobic exercise training (CAET) on sleep quality in polycystic ovary syndrome (PCOS).

DESIGN

Secondary analysis of a pilot randomized controlled trial.

PATIENTS

Women with PCOS aged 18-40 years.

MEASUREMENTS

The Pittsburgh Sleep Quality Index (PSQI) was measured at baseline and following a 6-month exercise intervention. A PSQI score >5 indicates poor sleep. Linear regression was used to evaluate the associations between PSQI score and anthropometric and cardiometabolic health markers, and the effect of exercise training on these associations.

RESULTS

Thirty-four participants completed the PSQI at baseline, and 29 postintervention: no-exercise control (n = 9), HIIT (n = 12) and CAET (n = 8). At baseline, 79% had poor sleep quality. Baseline PSQI score was positively correlated with body mass index, waist circumference, body weight, haemoglobin A1c and insulin resistance. Mean PSQI score changes were -0.4 (SD 1.1), -0.7 (SD 0.6) and -0.5 (SD 0.9) for control, HIIT and CAET, respectively. For HIIT participants, change in PSQI score was associated with changes in body weight (B = .27, 95% CI 0.10-0.45) and waist circumference (B = .09, 95% CI 0.02-0.17).

CONCLUSION

Most participants had poor sleep quality which was associated with poorer anthropometric and cardiometabolic health markers. There were no statistically significant changes in PSQI score with exercise training. With HIIT training, decreases in the sleep efficiency score were associated with reductions in body weight and waist circumference. Further studies are needed to determine the effect of exercise training on sleep quality.

Perchlorate, nitrate, and thiocyanate and depression: the potential mediating role of sleep

Perchlorate, nitrate, and thiocyanate are common thyroid disruptors, but it is not clear whether they are related to depression. In this study, we aimed to investigate the association between perchlorate, nitrate, and thiocyanate and depression, and to explore the potential role of sleep in this process. We used data from the National Health and Nutrition Examination Survey (NHANES). From 2005 to 2016, 6 cycles cross-sectional data were combined. Urinary perchlorate, nitrate, and thiocyanate came from laboratory test; depression was diagnosed by the Nine-item Patient Health Questionnaire (PHQ-9). Weighted generalized liner models, restricted cubic splines, and mediation analysis were used in this study. Totally, 16,715 participants were involved in this study, of which 8295 (49.63%) were male and 8420 (50.37%) were female, with an average age of 46.19 ± 0.32 years. We found that urinary thiocyanate concentration was positively associated with depression (Odds ratios [ORs]: 1.49; 95% confidence intervals [95% CIs]: 1.16, 1.91), but not perchlorate (ORs: 0.71; 95% CIs: 0.52, 0.97) or nitrate (ORs: 0.89, 95% CIs: 0.66, 1.19). Sleep may play a potential mediating role between thiocyanate and depression (9.55%). In conclusion, higher concentrations of thiocyanate exposure may be associated with a higher risk of depression, and the sleep duration may be an important mediating factor.

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.

Escaping negative moods and concentration problems play bridge roles in the symptom network of problematic smartphone use and depression

Background

Problematic smartphone use (PSU) has become an issue of great concern in the age of smartphones. PSU is associated with emotional problems, one of which is depression, as shown by empirical studies. However, previous studies have been limited in that they have focused solely on the total score for symptoms of PSU and depression while ignoring the symptomatic heterogeneity of these two concepts.

Method

This study filled this gap by exploring links between symptoms of PSU and depression among 1,849 university students (59.17% female participants, 17-23 years old). Network analysis was utilized to reveal symptom connections, central symptoms, and bridge symptoms between PSU and depression.

Results

(1) A total of 17 of 81 symptom connections (about 21%) between PSU and depression existed in the symptom network. For example, "self-control failure" for PSU was positively correlated with "concentration problems" for depression; (2) "recklessly continuing" for PSU and "fatigue" for depression were central symptoms within the PSU symptom network and depression symptom network, respectively; (3) "escaping negative moods" for PSU and "concentration problems" for depression were bridge symptoms. The former was maximumly connected with the depression symptoms and the latter was maximumly connected with the PSU symptoms; and (4) gender had very minimal influence on the network characteristics.

Conclusion

The results are in keeping with the central idea of the compensatory internet use theory that excessive smartphone use may be a coping strategy for depressed emotions derived from escaping motivation. Moreover, concentration problems may be a mediator explaining how negative emotions (e.g., depression) cause PSU, which is undefined in current internet use theories. Finally, symptom connections, central symptoms, and bridge symptoms could be potential targets for the prevention and intervention of PSU and depression in young adults.

Mental health status and its associated factors among female nurses in the normalization of COVID-19 epidemic prevention and control in China

Objective

To investigate mental health status and its associated factors among female nurses in the normalization of COVID-19 epidemic prevention and control in China.

Methods

Random cluster sampling was applied to recruit 740 female nurses in China. The respondents completed the survey with mobile devices. Demographic questionnaire, Generalized Anxiety Disorder-7, Patient Health Questionnaire-9, Insomnia Severity Index, and The Impact of Event Scale-Revised were used to assess demographic Information, anxiety, depression, insomnia and PTSD symptoms, respectively. The associated factors of mental health status were identified by binary logistic regression analysis.

Results

The prevalence of anxiety and depression was 7.9 and 17.8%, respectively. Insomnia was an associated factor of anxiety (OR = 6.237, 95%CI = 6.055-23.761, P < 0.001) and depression (OR = 9.651, 95%CI = 5.699-22.370, P < 0.001), while PTSD was an associated factor of anxiety (OR = 11.995, 95%CI = 2.946-13.205, P < 0.001) and depression (OR = 11.291, 95%CI = 6.056-15.380, P < 0.001), Being married was a protective factor of depression (OR = 0.811, 95%CI = 1.309-6.039, P < 0.01).

Conclusion

Female nurses showed problems in mental health. Insomnia, PTSD and marital status were associated with mental health. The hospital management should pay more attention to the unmarried groups, and strive to improve the sleep quality of female nurses and reduce their stress caused by traumatic events.

Activities of Daily Living and Depression in Chinese Elderly of Nursing Homes: A Mediation Analysis

Purpose

This study aimed to explore the role of sleep quality as a mediator in the activities of daily living (ADLs) and depression.

Patients and Methods

Participants (N=645; age≥60) were included in six nursing homes in Weifang, Shandong Province, using convenience sampling. Participants completed questionnaires to assess sleep quality, ADLs, and depression. Depression condition was assessed by the Patient Health Questionnaire (PHQ-9), ADLs was assessed by the Barthel Index (BI), and sleep quality was measured by the Pittsburgh Sleep Quality Index (PSQI). Mediation analysis was carried out by SPSS PROCESS.

Results

ADLs (r=0.449, P<0.01) and sleep quality (r=0.450, P<0.01) were found to be positively associated with depression among the elderly. Sleep quality plays a significant mediating role in the influence of ADLs on depression in the elderly in nursing homes (Bootstrap 95% CI [0.076, 0.139]), The pathway from ADLs to sleep quality to depression yielded a medium effect size of 20.23%.

Conclusion

ADLs help to explain how sleep quality partly mediates depression among the elderly in nursing homes. It is therefore recommended that timely detection and efficient interventions should focus on promoting physical function and improving sleep quality among the elderly in nursing homes.

Sleep Quality and Disability for Custodial Grandparents Caregivers in the Southern United States

Sleep quality amongst caregivers with disability may have been compounded by the COVID-19 pandemic. We evaluated differences in sleep quality amongst custodial grandparents from a southern state that were identified through state-based Kinship Care support groups coordinators and online. Participants ( N = 102) completed the Pittsburgh Sleep Quality Index and self-reported disability statuses. Gamma tests showed a strong negative relationship between disability and sleep duration indicating fewer hours of sleep, higher use of sleep medication and greater sleep disturbances. Disability is not significantly related to sleep latency, sleep efficiency, and daytime dysfunction. T-tests showed no strength of relationship between disability and overall sleep quality. During the first year of the COVID-19 pandemic, custodial grandparents with disability had greater issues with their sleep quality than those without disability. Sleep, as it pertains to its overall preponderant role in maintaining good health, should be examined amongst custodial grandparent caregivers and those with disability.