Sleep Disturbances and Common Mental Disorders in College Students

Sleep quality and stress: An investigation of collegiate aviation pilots

Objective: To investigate collegiate aviation pilots' quality of sleep and psychological distress levels. Participants: Collegiate aviation pilots from a Code of Federal Regulations Part 141 four-year degree-awarding university in central Florida (N = 192). Method: The Pittsburgh Sleepiness Quality Index and the Kessler Psychological Distress Scale were utilized to assess the participants' subjective quality sleep and psychological distress levels, respectively. A Spearman's rank-order correlation was run to assess the relationship between quality sleep and distress levels in collegiate aviation student pilots. Results: The prevalence of poor sleep quality among the collegiate aviation pilots was 69%. Mild or severe psychological distress was experienced by 32% (n = 61) of the pilots. There was a strong, positive association between quality sleep and psychological distress (rs (192) = .716, p < .05). Conclusion: Results suggested collegiate aviation programs should promote explicit strategies for students to improve their sleep habits and well-being.

Machine learning and Bayesian network analyses identifies associations with insomnia in a national sample of 31,285 treatment-seeking college students

BACKGROUND

A better understanding of the relationships between insomnia and anxiety, mood, eating, and alcohol-use disorders is needed given its prevalence among young adults. Supervised machine learning provides the ability to evaluate which mental disorder is most associated with heightened insomnia among U.S. college students. Combined with Bayesian network analysis, probable directional relationships between insomnia and interacting symptoms may be illuminated.

METHODS

The current exploratory analyses utilized a national sample of college students across 26 U.S. colleges and universities collected during population-level screening before entering a randomized controlled trial. We used a 4-step statistical approach: (1) at the disorder level, an elastic net regularization model examined the relative importance of the association between insomnia and 7 mental disorders (major depressive disorder, generalized anxiety disorder, social anxiety disorder, panic disorder, post-traumatic stress disorder, anorexia nervosa, and alcohol use disorder); (2) This model was evaluated within a hold-out sample. (3) at the symptom level, a completed partially directed acyclic graph (CPDAG) was computed via a Bayesian hill-climbing algorithm to estimate potential directionality among insomnia and its most associated disorder [based on SHAP (SHapley Additive exPlanations) values)]; (4) the CPDAG was then tested for generalizability by assessing (in)equality within a hold-out sample using structural hamming distance (SHD).

RESULTS

Of 31,285 participants, 20,597 were women (65.8%); mean (standard deviation) age was 22.96 (4.52) years. The elastic net model demonstrated clinical significance in predicting insomnia severity in the training sample [R2 = .44 (.01); RMSE = 5.00 (0.08)], with comparable performance in the hold-out sample (R2 = .33; RMSE = 5.47). SHAP values indicated that the presence of any mental disorder was associated with higher insomnia scores, with major depressive disorder as the most important disorder associated with heightened insomnia (mean |SHAP|= 3.18). The training CPDAG and hold-out CPDAG (SHD = 7) suggested depression symptoms presupposed insomnia with depressed mood, fatigue, and self-esteem as key parent nodes.

CONCLUSION

These findings provide insights into the associations between insomnia and mental disorders among college students and warrant further investigation into the potential direction of causality between insomnia and depression.

TRIAL REGISTRATION

Trial was registered on the National Institute of Health RePORTER website (R01MH115128 || 23/08/2018).

Machine Learning and Bayesian Network Analyses Identifies Psychiatric Disorders and Symptom Associations with Insomnia in a national sample of 31,285 Treatment-Seeking College Students

Background

A better understanding of the structure of relations among insomnia and anxiety, mood, eating, and alcohol-use disorders is needed, given its prevalence among young adults. Supervised machine learning provides the ability to evaluate the discriminative accuracy of psychiatric disorders associated with insomnia. Combined with Bayesian network analysis, the directionality between symptoms and their associations may be illuminated.

Methods

The current exploratory analyses utilized a national sample of college students across 26 U.S. colleges and universities collected during population-level screening before entering a randomized controlled trial. Firstly, an elastic net regularization model was trained to predict, via repeated 10-fold cross-validation, which psychiatric disorders were associated with insomnia severity. Seven disorders were included: major depressive disorder, generalized anxiety disorder, social anxiety disorder, panic disorder, post-traumatic stress disorder, anorexia nervosa, and alcohol use disorder. Secondly, using a Bayesian network approach, completed partially directed acyclic graphs (CPDAG) built on training and holdout samples were computed via a Bayesian hill-climbing algorithm to determine symptom-level interactions of disorders most associated with insomnia [based on SHAP (SHapley Additive exPlanations) values)] and were evaluated for stability across networks.

Results

Of 31,285 participants, 20,597 were women (65.8%); mean (standard deviation) age was 22.96 (4.52) years. The elastic net model demonstrated clinical significance in predicting insomnia severity in the training sample [R2 = .449 (.016); RMSE = 5.00 [.081]), with comparable performance in accounting for variance explained in the holdout sample [R2 = .33; RMSE = 5.47). SHAP indicated the presence of any psychiatric disorder was associated with higher insomnia severity, with major depressive disorder demonstrated to be the most associated disorder. CPDAGs showed excellent fit in the holdout sample and suggested that depressed mood, fatigue, and self-esteem were the most important depression symptoms that presupposed insomnia.

Conclusion

These findings offer insights into associations between psychiatric disorders and insomnia among college students and encourage future investigation into the potential direction of causality between insomnia and major depressive disorder.

Trial registration

Trial may be found on the National Institute of Health RePORTER website: Project Number: R01MH115128-05.

Prevalence of mental distress and associated factors among university students in Ethiopia: a meta-analysis

BACKGROUND

Mental distress is an important public health problem and is becoming common health problems among university students.

AIMS

This study aimed to provide a pooled prevalence of mental distress and associated factors among university students in Ethiopia.

METHOD

We systematically searched PubMed, EMBASE and PsycINFO databases. A further search was performed at Google Scholar search engine for additional studies. All observational studies reporting the prevalence of mental distress and/or associated factors among university students in Ethiopia were included. Pooled prevalence with 95% confidence interval (95% CI) were calculated using random effects and quality effects models. Subgroup and sensitivity analyses were performed. Heterogeneity between studies and evidence of publication bias were assessed.

RESULTS

The pooled prevalence of mental distress was 35% (95% CI; 28%-43%). Being female, participating in religious programmes, having close friends, experiencing financial distress, alcohol use, khat use, conflict with friends, lack of interest in their field of study and a family history of mental illness were factors associated with mental distress among students. We found significant heterogeneity, but no evidence of publication bias.

CONCLUSIONS

More than one third of university students in Ethiopia have suffered with mental distress. The finding provides evidence that university students are at risk population for mental health problems and suggests the need for early intervention to prevent severe mental illness.

Assessment of Insomnia Symptoms, Quality of Life, Daytime Sleepiness, and Psychoactive Substance Use among Polish Students: A Cross-Sectional Online Survey for Years 2016–2021 before and during COVID-19 Pandemic

Sleep disorders are a serious health problem worldwide, and insomnia is their most common manifestation. An increasing number of people have insomnia every year, young adults, especially. Due to the importance that sleep has in almost every aspect of our lives, the need to monitor disturbances in circadian rhythms has arisen. Therefore, this study aimed to assess the prevalence of sleep disorders among Polish students, including their quality of life (QOL) and drug use patterns. The study also investigated associations between sleep, QoL, and drug use. The study was conducted in 2016–2021 based on the self-made sociodemographic questionnaire, as well as standardized psychometric tools: Athens Insomnia Scale (AIS), Epworth Sleepiness Scale (ESS), and Manchester Short Assessment of quality of life (MANSA). A total of 14,844 students participated in the study. The majority were women (80.7%), of which 3425 (23.1%) were medical students, with the most numerous representing medical and dental faculties, 1884 (57.2%). Before the COVID-19 pandemic, 52.1% of the surveys were collected; 54.1% of respondents had insomnia as indicated by the AIS scores, and 26.1% displayed sleepiness during the day. Female students, the first-year college students, more often suffered from sleep disorders. Drug use was widespread among Polish students, correlating with sleep assessment results and QoL. In conclusion, sleep disorders are a significant clinical problem among Polish students. Female and junior students’ years are more prone to sleep deprivation. Insufficient sleep can be associated with a lower QoL score and psychoactive substance use. The effects of the COVID-19 pandemic on sleep are not conclusive, because there was decreasing quality for longer sleep durations. In order to analyze these associations, there is a need for further in-depth study.

Evaluation of Sleep Habits, Generalized Anxiety, Perceived Stress, and Research Outputs Among Postgraduate Research Students in Hong Kong During the Coronavirus (COVID-19) Pandemic

Purpose

The current study aimed to evaluate the impact of coronavirus (COVID-19) pandemic on sleep hygiene, anxiety levels, perceived stress, and research output among postgraduate research students in Hong Kong.

Methods

An online survey was developed and distributed to Hong Kong postgraduate research students. The sleep hygiene, anxiety levels, and perceived stress during the outbreak of COVID-19 were assessed. Questions about COVID-19’s impact on research outputs were asked.

Results

A total of 108 (response rate, 72%) full-time postgraduate students (PhD, 64%; M Phil, 8%; and Masters, 28%) participated. Approximately 83% of students reported poor sleep hygiene. Similarly, nearly 76% of students reported mild to severe levels of self-perceived anxiety levels. Most of the respondents (89%) expressed a moderate level of perceived stress. Sleep hygiene scores were moderately associated with anxiety levels (r = 0.384, p < 0.01) and perceived stress scores (r = 0.423, p < 0.01). Perceived stress was strongly correlated with anxiety levels (r = 0.601, p < 0.01). A hierarchical regression analysis revealed a significant association between respondents’ ethnicity (B = −0.923, p = 0.003), past medical history (such as hypertension, diabetes, and musculoskeletal disorders) (B = 1.112, p = 0.005), or poor sleep hygiene (B = 0.259, p = 0.000) and high levels of perceived stress. Additionally, prior medical history (such as hypertension, diabetes, and musculoskeletal disorders) (B = 1.957, p = 0.001) and poor sleep hygiene (B = 0.312, p = 0.000) were found to be strongly related to anxiety levels among postgraduate research students.

Conclusion

This is the first study that highlights poor sleep hygiene, moderate-to-severe levels of anxiety, and perceived stress during the COVID-19 pandemic in postgraduate research students in Hong Kong. These findings will help educators to prepare strategies to alleviate the stress and psychological problems in postgraduate students.

Responding to the 2018-2020 Ebola Virus Outbreak in the Democratic Republic of the Congo: Rethinking Humanitarian Approaches

The Democratic Republic of Congo (DRC) presents a challenging context in which to respond to public health crises. Its 2018-2020 Ebola outbreak was the second largest in history. Lessons were known from the previous West African outbreak. Chief among these was the recognition that local action and involvement are key to establishing effective epidemic-response. It remains unclear whether and how this was achieved in DRC's Ebola response. Additionally, there is a lack of scholarship on how to build resilience (the ability to adapt or transform under pressure) in crisis-response. In this article, we critically review literature to examine evidence on whether and how communities were involved, trust built, and resilience strengthened through adaptation or transformation of DRC's 2018-2020 Ebola response measures. Overall, we found limited evidence that the response adapted to engage and involve local actors and institutions or respond to locally expressed concerns. When adaptations occurred, they were shaped by national and international actors rather than enabling local actors to develop locally trusted initiatives. Communities were "engaged" to understand their perceptions but were not involved in decision-making or shaping responses. Few studies documented how trust was built or analyzed power dynamics between different groups in DRC. Yet, both these elements appear to be critical in building effective, resilient responses. These failures occurred because there was no willingness by the national government or international agencies to concede decision-making power to local people. Emergency humanitarian response is entrenched in highly medicalized, military style command and control approaches which have no space for decentralizing decision-making to "non-experts". To transform humanitarian responses, international responders can no longer be regarded as "experts" who own the knowledge and control the response. To successfully tackle future humanitarian crises requires a transformation of international humanitarian and emergency response systems such that they are led, or shaped, through inclusive, equitable collaboration with local actors.

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.

Mental Health Issues and Psychological Factors in Athletes: Detection, Management, Effect on Performance, and Prevention: American Medical Society for Sports Medicine Position Statement

The American Medical Society for Sports Medicine convened a panel of experts to provide an evidence-based, best practices document to assist sports medicine physicians and other members of the athletic care network with the detection, treatment, and prevention of mental health issues in competitive athletes. This statement discusses how members of the sports medicine team, including team physicians, athletic trainers, and mental health providers, work together in providing comprehensive psychological care to athletes. It specifically addresses psychological factors in athletes including personality issues and the psychological response to injury and illness. The statement also examines the athletic culture and environmental factors that commonly impact mental health, including sexuality and gender issues, hazing, bullying, sexual misconduct, and transition from sport. Specific mental health disorders in athletes, such as eating disorders/disordered eating, depression and suicide, anxiety and stress, overtraining, sleep disorders, and attention-deficit/hyperactivity disorder, are reviewed with a focus on detection, management, the effect on performance, and prevention. This document uses the Strength of Recommendation Taxonomy (SORT) to grade level of evidence.

Sleep Disturbances Rate among Medical and Allied Health Professions Students in Iran: Implications from a Systematic Review and Meta-Analysis of the Literature

Medicine and healthcare professions are prestigious and valued careers and, at the same time, demanding, challenging, and arduous jobs. Medical and allied health professions students, experiencing a stressful academic and clinical workload, may suffer from sleep disturbances. In Iran, several studies have been conducted to explore the prevalence rate among medical and healthcare professions students. The aim of this systematic review and meta-analysis was to quantitatively and rigorously summarize the existing scholarly literature, providing the decision- and policy-makers and educators with an updated, evidence-based synthesis. Only studies utilizing a reliable psychometric instrument, such as the Pittsburgh sleep quality index (PSQI), were included, in order to have comparable measurements and estimates. Seventeen investigations were retained in the present systematic review and meta-analysis, totaling a sample of 3586 students. Studies were conducted between 2008 and 2018 and reported an overall rate of sleep disturbances of 58% (95% confidence interval or CI 45-70). No evidence of publication bias could be found, but formal analyses on determinants of sleep disturbances could not be run due to the dearth of information that could be extracted from studies. Poor sleep is highly prevalent among Iranian medical and healthcare professions students. Based on the limitations of the present study, high-quality investigations are urgently needed to better capture the determinants of poor sleep quality among medical and healthcare professions students, given the importance and the implications of such a topic.

Prevalence of Common Mental Disorder and Its Association with Khat Chewing among Ethiopian College Students: A Systematic Review and Meta-Analysis

Background

Mental disorder is a global burden that affects all groups of people. Young people, particularly college/university students, are more vulnerable to common mental disorders than the general population. Thus, students may use khat to gain immediate relief from their psychological distress which may worsen again after longer time of chewing. In Ethiopia, there are studies showing discrepant and inconsistent results of common mental disorder among college/university students. Therefore, this review sought to determine the prevalence of common mental disorder and its association with khat chewing among Ethiopian college/university students.

Methods

Different kinds of literature were searched from the databases of Google Scholar, PubMed/Medline, ScienceDirect, and PsycINFO. A total of 10 primary studies which report the prevalence of common mental disorder among Ethiopian college/university students were included in the review. The data were extracted using a standardized data extraction format prepared in Microsoft Excel. STATA version 14 statistical software was used for analysis. Cochran's Q test statistics and I ² test were used to assess heterogeneity. A random effects meta-analysis model was used to estimate the pooled prevalence of common mental disorder due to the variability of the studies. Lastly, the association between common mental disorder and khat chewing was conducted.

Results

The pooled prevalence of common mental disorder among Ethiopian college/university students was 37.73% (95% CI: 30.43, 45.03). The subgroup analysis showed the highest [51.9% (95% CI: 30.19, 73.70)] and lowest [33.28% (95% CI: 19.95, 46.60)] prevalences of common mental disorder among Ethiopian college/university students found in Amhara and South Nation Nationality and People regions, respectively. The pooled effect (odds ratio) of khat chewing on common mental disorder was 2.01 (95% CI: 1.38, 2.95).

Conclusions

In our review, it is found that more than one-third of college/university students suffered from common mental disorder. Khat chewers were found to be twofolds more vulnerable to develop common mental disorder than nonchewers.

Insomnia Symptoms and Their Association with Anxiety and Poor Sleep Hygiene Practices Among Ethiopian University Students

OBJECTIVE

There is a paucity of research evidence available regarding the impact of anxiety and sleep hygiene on insomnia and related sleep complaints among collegiate students in lower-income countries. The purpose of this study was to investigate if insomnia and insomnia-related sleep complaints are associated with anxiety, age, and sleep hygiene practices among a sample of university students in Ethiopia.

DESIGN MEASURES SETTING AND PARTICIPANTS

The participants were young adults (n=525; mean age 21.5 ± 3.0 years; mean BMI of 20.7 ± 2.7kg/m²). Young collegiate adults at Mizan-Tepi University in southwestern Ethiopia were randomly selected to participate in this cross-sectional study. The measures included the Leeds Sleep Evaluation Questionnaire-Mizan (LSEQ-M), the Generalized Anxiety Disorder-7 Scale (GAD-7), and the Sleep Hygiene Index (SHI). Descriptive statistics, binary logistic regression, and multiple linear regressions were used.

RESULTS

Insomnia was associated with young age group (≤25 years) (odds ratio (OR) = 2.20, 95% confidence interval (CI) 1.04-4.66), higher GAD-7 (anxiety) (OR = 1.05, 95% CI 1.0-1.10) and SHI (poor sleep hygiene) (OR = 1.15, 95% CI 1.05-1.26) scores. All four insomnia-related sleep complaints were associated with increasing GAD-7 scores, as well as higher SHI scores (p<0.001).

CONCLUSION

Insomnia was associated with younger age group (≤25 years), higher anxiety level, and poor sleep hygiene. Four major sleep complaints in insomnia, ie, sleep onset problems, poor sleep quality, awakening problems, and daytime disturbances, were all associated with higher anxiety levels and poor sleep hygiene.

Prevalence of poor sleep quality in the Ethiopian population: a systematic review and meta-analysis

BACKGROUND

Only a limited amount of data is available from lower-income countries regarding the prevalence of poor quality of sleep. This meta-analysis of the scientific literature was performed to estimate the pooled prevalence of poor sleep quality in the Ethiopian population.

METHODS

The study protocol followed was the Preferred Reporting of Items for Systematic Review and meta-analysis (PRISMA) statement.

RESULTS

The nine studies which met the inclusion criteria provided data based on a total of 9103 participants who were studied at various health and academic institutions. The incidences of self-reported poor sleep quality ranged from 26 to 66.2%. The pooled estimate of poor sleep quality was 53%.There was a high prevalence of reported poor quality of sleep among younger subjects and among those who were studied in community (noninstitutional) settings.

CONCLUSION

The pooled prevalence of poor sleep quality is quite high among Ethiopians.

Assessment of Sleep Quality and its Relationship to Social Media Use Among Medical Students

STUDY OBJECTIVES

This study attempted to assess sleep quality among medical students and examine the relationship between social network use and sleep quality.

METHODS

Descriptive cross-sectional study, enrolling medical students of King Abdulaziz University and Batterjee Medical College. The Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality.

RESULTS

Of the 702 medical students who responded to our survey (410 females and 292 males), more than 66% suffered from poor sleep quality. Approximately 92.3% of the surveyed students used electronic devices before they fell asleep, and 88.4% used these devices for social networking purposes. Female students were found to suffer more than male students, and they also reported spending more time on social networking sites before sleeping (p = .006).

CONCLUSION

This study suggests that students who reported poor sleep spent an average of 64.38 min on social networking sites before sleeping; this duration was negatively associated with medical students' sleep quality.

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).

Perceived Stress Mediates the Associations between Sleep Quality and Symptoms of Anxiety and Depression among College Nursing Students

Mental illnesses, such as anxiety and depression, are top concerns among college students. Poor sleep quality intensifies the risk of mental illnesses. However, the mechanism for the associations between sleep quality and mental illnesses in college students is not well understood. Online surveys were collected with 242 undergraduate nursing students at a public university in the northeast United States. Multivariate linear regression models suggested that poor sleep quality was associated with an increased risk of symptoms of anxiety (β = 1.08, p < 0.01) and depression (β = 1.00, p < 0.01). Perceived stress mediated the association between sleep quality and symptoms of anxiety by 85.3 %, and mediated the association between sleep quality and symptoms of depression by 60.0 %. This study suggested that in addition to sleep promotion, effective interventions to identify unique stressors in nursing students and facilitate the development of appropriate coping strategies are needed to enhance their mental health and well-being.

Relationships among sleep quality, coping styles, and depressive symptoms among college nursing students: A multiple mediator model

BACKGROUND

Poor sleep quality and depressive symptoms are common among college nursing students, and may be associated with each other. However, the mechanism for this association has not been well understood.

PURPOSE

The study is to examine the potential mediating role of coping styles in the association between sleep quality and depressive symptoms among college nursing students.

METHODS

242 undergraduate nursing students at a public university in the northeast United States completed an online survey delivered through SurveyMonkey® with self-reports of sleep quality, coping styles, and depressive symptoms from October to November 2015.

RESULTS

Multivariate linear regression models suggested that poor sleep quality was significantly associated with depressive symptoms (β=1.00, p<0.01) in nursing students. The four coping styles (problem engagement, emotion engagement, problem disengagement, and emotion disengagement) together reduced the strength of the association between sleep quality and depressive symptoms by 41%. Specifically, emotion disengagement coping plays an important mediating role in this association.

CONCLUSIONS

In addition to sleep promotion, effective interventions to facilitate the development of appropriate coping strategies among nursing students are needed to enhance their mental health and well-being.

Common mental disorder and its association with academic performance among Debre Berhan University students, Ethiopia

Background

Common mental disorder (CMD) is prevalent in industrialized and non-industrialized countries. The prevalence of CMD among university students was 28.8–44.7% and attributed to several risk factors, such as schooling. The aim of this study was to assess the prevalence and risk factors of CMD. In addition, the association between CMD and academic performance was tested.

Methods

Institution based cross-sectional study was conducted with 422 students at Debre Berhan university from March to April 2015. CMD was the primary outcome variable whereas academic performance was the secondary outcome variable. Kessler psychological distress (K10) scale was used to assess CMD. Bivariate and multiple logistic regression analysis were performed for modeling the primary outcome variable; independent samples T test and linear regression analysis were carried out for modeling the secondary outcome variable. The strength of association was interpreted using odds ratio and regression coefficient (β) and decision on statistical significance was made at a p value of 0.05. Data were entered using EPI-data version 3.1 software and analyzed using the Statistical Package for the Social Sciences (SPSS) version 20.01 software.

Results

The prevalence of CMD was 63.1%. Field of study (p = 0.008, OR = 0.2, 95% CI 0.04–0.61), worshiping (p = 0.04, OR = 1.8, 95% CI 1.02–3.35), insomnia (p < 0.001, OR = 3.8, 95% CI 2.21–6.57), alcohol drinking (p = 0.006, OR = 2.7, 95% CI 1.33–5.66), and headache (p = 0.02, OR = 2.1, 95% CI 1.10–3.86) were identified risk factors for CMD. The mean cumulative grade point average of students with CMD was lower by 0.02 compared to those without CMD, but not statistically significant (p = 0.70, β = −0.02, 95% CI −0.15 to 0.10). CMD explained only 0.8% (r² = 0.008) of the difference in academic performance between students.

Conclusions

At least three out of five students fulfilled CMD diagnostic criteria. The statistically significant risk factors were field of study, worshiping, insomnia, alcohol drinking, and headache. Moreover, there was no statistically significant association between CMD and academic performance. Undertaking integrated evidence-based intervention focusing on students with poor sleep quality, poor physical health, and who drink alcohol is essential if the present finding confirmed by a longitudinal study.

Association of suicidal ideation with poor sleep quality among Ethiopian adults

OBJECTIVE

The objective of this study was to examine the extent to which poor sleep quality is associated with suicidal ideation among Ethiopian adults.

METHODS

A cross-sectional study was conducted among 1054 adults attending outpatient clinical facilities in Ethiopia. Standardized questionnaires were utilized to collect data on demographics, sleep quality, lifestyle, and depression status. Depression and suicidal ideation were assessed using the Patient Health Questionnaire-9 (PHQ-9), while the Pittsburgh Sleep Quality Index (PSQI) questionnaire was utilized to assess sleep quality. Multivariate logistic regression models were fit to estimate adjusted odds ratio (AOR) and 95 % confidence intervals (95 % CI).

RESULTS

The prevalence of suicidal ideation was 24.3 % while poor sleep quality (PSQI global score of >5 vs. ≤5) was endorsed by 60.2 % of participants. After adjustment for confounders including depression, poor sleep quality was associated with more than 3-fold increased odds of suicidal ideation (AOR = 3.59; 95 % CI 2.34-5.51). When assessed as a continuous variable, each 1-unit increase in the global PSQI score resulted in a 20 % increased odds for suicidal ideation, even after adjusting for depression (AOR = 1.20; 95 % CI 1.14-1.27). Participants with both poor sleep quality and depression had much higher odds (AOR = 23.22, 95 % CI 14.10-38.28) of suicidal ideation as compared with those who had good sleep quality and no depression although inferences from this analysis are limited due to the wide 95 % CI.

CONCLUSION

Suicidal ideation and poor sleep quality are highly prevalent. Individuals with poor sleep quality have higher odds of suicidal ideation. If confirmed, mental health services need to address sleep disturbances seriously to prevent suicidal episodes.

Chronotype, gender and general health

BACKGROUND

Light-dark alternation has always been the strongest external circadian "zeitgeber" for humans. Due to its growing technological preference, our society is quickly transforming toward a progressive "eveningness" (E), with consequences on personal circadian preference (chronotype), depending on gender as well. The aim of this study was to review the available evidence of possible relationships between chronotype and gender, with relevance on disturbances that could negatively impact general health, including daily life aspects.

METHODS

Electronic searches of the published literature were performed in the databases MEDLINE and Web of Science, by using the Medical Subject Heading (MeSH), when available, or other specific keywords.

RESULTS

Results were grouped into four general areas, i.e. (a) "General and Cardiovascular Issues", (b) "Psychological and Psychopathological Issues", (c) "Sleep and Sleep-Related Issues" and (d) "School and School-Related Issues". (a) E is associated with unhealthy and dietary habits, smoking and alcohol drinking (in younger subjects) and, in adults, with diabetes and metabolic syndrome; (b) E is associated with impulsivity and anger, depression, anxiety disorders and nightmares (especially in women), risk taking behavior, use of alcohol, coffee and stimulants, psychopathology and personality traits; (c) E has been associated, especially in young subjects, with later bedtime and wake-up time, irregular sleep-wake schedule, subjective poor sleep, school performance and motivation, health-related quality of life; (d) E was associated with lowest mood and lower overall grade point average (especially for women).

CONCLUSIONS

Eveningness may impact general health, either physical or mental, sleep, school results and achievements, especially in younger age and in women. The role of family support is crucial, and parents should be deeply informed that abuse of technological devices during night hours may lead to the immature adjustment function of children's endogenous circadian pacemakers.

Risk of Common Mental Disorders in Relation to Symptoms of Obstructive Sleep Apnea Syndrome among Ethiopian College Students

BACKGROUND

The Berlin and Epworth Sleepiness Scale (ESS) are simple, validated, and widely used questionnaires designed to assess symptoms of obstructive sleep apnea syndrome (OSAS) a common but often unrecognized cause of morbidity and mortality.

METHODS

A cross-sectional study was conducted among 2,639 college students to examine the extent to which symptoms of OSAS are associated with the odds of common mental disorders (CMDs). The General Health Questionnaire (GHQ-12) was used to evaluate the presence of CMDs while the Berlin and ESS were used to assess high-risk for obstructive sleep apnea (OSA) and excessive daytime sleepiness, respectively. Logistic regression procedures were used to derive odds ratios (OR) and 95% confidence intervals (CI) assessing the independent and joint associations of high-risk for OSA and excessive daytime sleepiness with odds of CMDs.

RESULTS

Approximately 19% of students had high-risk for OSA while 26.4% had excessive daytime sleepiness. Compared to students without high-risk for OSA and without excessive daytime sleepiness (referent group), students with excessive daytime sleepiness only (OR=2.01; 95%CI: 1.60-2.52) had increased odds of CMDs. The odds of CMDs for students with high-risk OSA only was 1.26 (OR=1.26; 95%CI 0.94-1.68). Students with both high-risk for OSA and excessive daytime sleepiness, compared to the referent group, had the highest odds of CMDs (OR=2.45; 95%CI: 1.69-3.56).

CONCLUSION

Our findings indicate that symptoms of OSAS are associated with increased risk of CMDs. These findings emphasize the comorbidity of sleep disorders and CMDs and suggest that there may be benefits to investing in educational programs that extend the knowledge of sleep disorders in young adults.

Relationship between actigraphy-assessed sleep quality and fat mass in college students

OBJECTIVE

Only a few studies have used objective measurements to investigate the relationship between sleep quality and obesity. These studies showed controversial results.

METHODS

Sleep efficiency was measured by Actiwatch 2 in 132 healthy students (age 23.3 ± 3.7 years, BMI 23.1 ± 4.1 kg/m(2) ) for 12 ± 3 nights, differentiating between work and free days. Physical activity, dietary habits, and autonomic function (heart rate variability, HRV) were analyzed as potential determinants of sleep quality and its relationship with body composition.

RESULTS

Sleep efficiency was 87.0% in women and 84.9% in men (P < 0.05) and was higher at free days when compared to work days in women (P < 0.05). Lower sleep efficiency was associated with a higher fat mass. This was true for sleep efficiency on work days in women [fat mass index (FMI): r = -0.35, P < 0.01] and for free days in men (FMI: r = -0.37, P < 0.05). Poor sleep efficiency was associated with less physical activity (r = 0.29, P < 0.05) and impaired HRV in women (r = 0.60, P < 0.05) and with a higher fat intake in men (r = -0.39, P < 0.05).

CONCLUSIONS

Poor sleep efficiency was associated with higher fat mass. The relationship between sleep quality and fat mass differs between work and free days and may be explained by physical activity and autonomic function in women and dietary habits in men.

Body Mass Index Moderates the Association between Sleep Quality and Vigilance on a Test of Inhibitory Control

OBJECTIVE

Sleep problems are common among college students and related to numerous adverse outcomes including impaired cognitive performance. Obesity may confer an elevated risk of cognitive deficits with poor sleep given its relationship with poorer sleep quality and impaired cognition. Thisstudy examined whether the relationship between reduced sleep quality and poorer vigilance and inhibitory control were moderated by elevated body mass index (BMI).

METHOD

Participants were 85 college students who completed a computerized task of inhibitory control that required vigilance (go/no-go [GNG] task) and the Pittsburgh Sleep Quality Index, a measure of sleep quality.

RESULTS

Poor sleep quality was observed in 63.5% of the sample and was related to more omission errors on the GNG task and increased BMI. Results further revealed that BMI moderated the relationship between sleep quality and performance on the GNG task such that individuals in the severely obese range of BMI had more omission errors with poorer sleep quality, while there was no association between sleep and GNG performance among normal weight and overweight individuals.

CONCLUSIONS

These findings highlight the likely contribution of obesity to decreased vigilance with poor sleep. Future research is needed to confirm these findings using objective measures of sleep quality (e.g., actigraphy, polysomnography).