Sleep habits and sleep problems among Palestinian students.
Ontology highlight
ABSTRACT: Aim
The aim of this study was to describe sleep habits and sleep problems in a population of undergraduates in Palestine. Association between self-reported sleep quality and self-reported academic achievement was also investigated.Methods
Sleep habits and problems were investigated using a convenience sample of students from An-Najah National University, Palestine. The study was carried out during spring semester, 2009. A self-administered questionnaire developed based on The Diagnostic and Statistical Manual of Mental Disorders IV criteria and Pittsburgh Sleep Quality Index was used.Results
400 students with a mean age of 20.2 ± 1.3 were studied. Reported mean duration of night sleep in the study sample was 6.4 ± 1.1 hours. The majority (58.3%) of students went to bed before midnight and 18% of the total sample woke up before 6 am. Sleep latency of more than one hour was present in 19.3% of the students. Two thirds (64.8%) of the students reported having at least one nocturnal awakening per night. Nightmares were the most common parasomnia reported by students. Daytime naps were common and reported in 74.5% of the study sample. Sleep quality was reported as "poor" in only 9.8% and was significantly associated with sleep latency, frequency of nocturnal awakenings, time of going to bed, nightmares but not with academic achievement.Conclusion
Sleep habits among Palestinian undergraduates were comparable to those reported in European studies. Sleep problems were common and there was no significant association between sleep quality and academic achievement.
SUBMITTER: Sweileh WM
PROVIDER: S-EPMC3148974 | biostudies-literature |
REPOSITORIES: biostudies-literature
Similar Datasets
Project description:Up to 60% of all college students suffer from a poor sleep quality, and 7.7% meet all criteria of an insomnia disorder. Sleep problems have a great impact on the students' daily life, for example, the grade point average. Due to irregular daytime routines, chronotype changes, side jobs and exam periods, they need specialized treatments for improving sleep. "Studieren wie im Schlaf" (SWIS; (studying in your sleep)) is a multicomponent sleep training that combines Cognitive Behavioral Therapy for Insomnia and Hypnotherapy for Insomnia to improve students' sleep, insomnia symptoms and nightmares. The aim of the present study is to evaluate the acceptance, feasibility and the first effects of SWIS.Twenty-seven students (mean =24.24, standard deviation =3.57) participated in a study of pre-post design. The acceptance and feasibility were measured with questionnaires. In addition, the Pittsburgh Sleep Quality Index (PSQI), sleep logs and actigraphy were implemented. Further variables encompassed daytime sleepiness, sleep-related personality traits and cognitions about sleep.Seventy-four percent of the participants reported symptoms of an insomnia disorder, and 51.9% fulfilled all criteria of an insomnia disorder according to the Diagnostic and Statistical Manual of Mental Disorders (fifth edition). Correspondingly, the students suffered from clinically relevant sleep problems according to the PSQI. The SWIS sleep training is a well-accepted and feasible program. Significant improvements were observed in the subjective sleep quality and sleep-related personality traits, as well as clinical improvements in objective sleep measures.Findings showed that SWIS is a feasible program for the treatment of sleep problems in college and university students due to its various effects on sleep and cognitive outcomes. Further evaluation of follow-up measurements and additional variables, that is, cognitive performance and mental health, is needed.
| S-EPMC5536318 | biostudies-other
Project description:Whereas previous research has indicated that sleep problems tend to co-occur with increased mental health issues in university students, relatively little is known about relations between sleep quality and mental health in university students with generally healthy sleep habits. Understanding relations between sleep and mental health in individuals with generally healthy sleep habits is important because (a) student sleep habits tend to worsen over time and (b) even time-limited experience of sleep problems may have significant implications for the onset of mental health problems. In the present research, 69 university students with generally healthy sleep habits completed questionnaires about sleep quality and mental health. Although participants did not report clinically concerning mental health issues as a group, global sleep quality was associated with mental health. Regression analyses revealed that nighttime sleep duration and the frequency of nighttime sleep disruptions were differentially related to total problems and clinically-relevant symptoms of psychological distress. These results indicate that understanding relations between sleep and mental health in university students with generally healthy sleep habits is important not only due to the large number of undergraduates who experience sleep problems and mental health issues over time but also due to the potential to intervene and improve mental health outcomes before they become clinically concerning.
| S-EPMC4900547 | biostudies-literature
Project description:Using a large sample of college students, objectives were to examine (1) the overlap between poor sleep and suicide risk status, (2) whether poor sleep was associated with suicide behaviors above and beyond depression, (3) whether sleep problems and depression interacted to predict increased suicidal behaviors or risk, and (4) which specific components of sleep were uniquely associated with suicidal behaviors. Participants were 1700 college students (ages 18-29 years; 65% female) from two universities who completed measures assessing sleep, depressive symptoms, and suicidal behaviors (Suicidal Behaviors Questionnaire-Revised [SBQ-R], a composite measure including ideation, past attempt, disclosure to others, and future likelihood of suicide that includes a cutoff for determining participants with suicide risk). Approximately one-quarter (24%) of participants were classified with suicide risk. Four-fifths (82.7%) of participants classified with suicide risk also met cutoff criteria for sleep problems; conversely, almost one-third (31.3%) of the participants classified with sleep problems were also classified with suicide risk. Total sleep problems remained significantly associated with suicidal behaviors above and beyond depressive symptoms, though sleep and depression did not interact to predict suicidal behaviors or risk. When considered together and controlling for sex, the odds of being classified with suicide risk were 6.54 times greater for participants with elevated depressive symptoms and 2.70 times greater for participants with sleep problems. Analyses examining specific sleep domains found shorter sleep duration, having bad dreams, feeling too cold while sleeping, and sleep medication use to each be independently associated with suicidal behaviors. Findings add to a growing body of literature linking sleep and suicide in college students.
| S-EPMC5962276 | biostudies-literature
Project description:Actual sleep status and the association between sleep habits/disorders and emotional/behavioral problems among children in the development stage have not been fully clarified. A questionnaire survey was conducted on the sleep habits/disorders (Brief Child Sleep Questionnaire; BCSQ) and emotional/behavioral problems (Strengths and Difficulties Questionnaire; SDQ) of 87,548 children enrolled in ordinary classes in nine grade levels from the first grade of elementary school to the third grade of junior high school from December 2009 to April 2010. As school grade increased, children's bedtimes were delayed and sleep duration was reduced by 2.0 h over the nine grade levels. Based on the BCSQ, 18.3% of children were judged to have some type of sleep disorder, and about 30% to 40% of children had sleep symptoms at bedtime, during sleep, and at wake time. Multiple regression analysis showed that emotional and behavioral problems were associated with presence of any sleep symptom, longer sleep latency, and longer awake time after sleep onset, whereas total sleep time was not. Sleep symptoms at wake time were most strongly associated with emotional and behavioral problems. Status of sleep habits/disorders should be considered when interpreting emotional/behavioral problems in school-age children.
| S-EPMC8169700 | biostudies-literature
Project description:BackgroundSleep disorders are composed of a group of diseases of increasing prevalence and with social-health implications to be considered a public health problem. Sleep habits and specific sleep behaviors have an influence on the academic success of students. However, the characteristics of sleep and sleep habits of university students as predictors of poor academic performance have been scarcely analyzed. In the present study, we aimed to investigate sleep habits and their influence on academic performance in a cohort of Nursing Degree students.MethodsThis was a cross-sectional and observational study. An anonymous and self-administered questionnaire was used, including different scales such as the 'Morningness and Eveningness scale', an author-generated sleep habit questionnaire, and certain variables aimed at studying the socio-familial and academic aspects of the Nursing students. The association of sleep habits and other variables with poor academic performance was investigated by logistic regression. The internal consistency and homogeneity of the 'sleep habits questionnaire' was assessed with the Cronbach's alpha test.ResultsOverall, 401 students (mean age of 22.1 ± 4.9 years, 74.8 % females) from the Nursing Degree were included. The homogeneity of the 'sleep habits questionnaire' was appropriate (Cronbach's alpha = 0.710). Nursing students were characterized by an evening chronotype (20.2 %) and a short sleep pattern. 30.4 % of the Nursing students had bad sleep habits. Regarding the academic performance, 47.9 % of the students showed a poor one. On multivariate logistic regression analysis, a short sleep pattern (adjusted OR = 1.53, 95 % CI 1.01-2.34), bad sleep habits (aOR = 1.76, 95 % CI 1.11-2.79), and age < 25 years (aOR = 2.27, 95 % CI 1.30-3.98) were independently associated with a higher probability of poor academic performance.ConclusionsAlmost 1/3 of the Nursing students were identified as having bad sleep habits, and these students were characterized by an evening chronotype and a short sleep pattern. A short sleep pattern, bad sleep habits, and age < 25 years, were independently associated with a higher risk of poor academic performance. This requires multifactorial approaches and the involvement of all the associated actors: teachers, academic institutions, health institutions, and the people in charge in university residences, among others.
| S-EPMC8212524 | biostudies-literature
Project description:Approximately 4 μg of DNA was isolated from blood of each of 16 subjects using the Qiagen DNEasy Blood and Tissue Kit. Of the 16 samples, 8 were from group 1 (CESD-H/TST-H; 5 female, 3 male) and 8 were from group 2 (CESD-H/TST-L; 5 female, 3 male). All DNA samples were confirmed to be of high purity (A260/280: 1.7-2.0). Pooled samples were prepared for each group by combining approximately 75 ng of DNA from each of the eight subjects. These two samples were submitted to the Yale Genomics Core for epigenome-wide methylation profiling using the Illumina Infinium HumanMethylation450 BeadChip, which measures the level of methylation β (a value ranging from 0 to 1, where 0 represents a completely unmethylated site and 1 a completely methylated site) at each of the 485,577 CpG sites on the array. Illumina’s GenomeStudio software was used to calculate the degree of differential methylation by group for each CpG site on the array, and FDR-adjusted p-values (Q-values) were calculated for each site in order to adjust for multiple comparisons. CESD=depression score; TST=sleep score
2016-08-01 | GSE80559 | GEO
Project description:BackgroundSleep is a necessary physiological process, which is closely related to cognitive function, emotion, memory, endocrine balance, and immunity. The prevalence of sleep problems continues to rise in Chinese medical students, which has a potential influence on living and work.ObjectiveThis study aimed to observe the prevalence of sleep problems among medical students in China.MethodThe included cross-sectional studies on the prevalence of sleep problems of medical students in China were retrieved from PubMed, Embase, the Cochrane Database of Systematic Reviews, CNKI, and Wanfang database. An 11-item checklist recommended by the Agency for Healthcare Research and Quality was adopted to evaluate the methodological quality of the included studies. Software Stata 12.0, SPSS 26.0, and R were used to analyze the data. Registration: PROSPERO, CRD 42021237303.ResultThe prevalence of sleep problems among Chinese medical students was 27.38%. The subgroup analysis showed significant differences in the prevalence of sleep problems among different regions, educational backgrounds, grades, and University types. The region, latitude, and gross domestic product (GDP) were significant heterogeneous sources of sleep problems. The prevalence is positively correlated with latitude and negatively correlated with GDP per capita. Regular screening and appropriate intervention are recommended for these mental health problems.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021237303, identifier: CRD42021237303.
| S-EPMC8959348 | biostudies-literature
Project description:Excess visceral adiposity is a primary cause of metabolic syndrome and often results from excess caloric intake and a lack of physical activity. Beyond these well-known etiologic factors, however, sleep habits and sleep apnea also seem to contribute to abdominal obesity and metabolic syndrome: Evidence suggests that sleep deprivation and behaviors linked to evening chronotype and social jetlag affect eating behaviors like meal preferences and eating times. When circadian rest and activity rhythms are disrupted, hormonal and metabolic regulations also become desynchronized, and this is known to contribute to the development of metabolic syndrome. The metabolic consequences of obstructive sleep apnea syndrome (OSAS) also contribute to incident metabolic syndrome. These observations, along with the first sleep intervention studies, have demonstrated that sleep is a relevant lifestyle factor that needs to be addressed along with diet and physical activity. Personalized lifestyle interventions should be tested in subjects with metabolic syndrome, based on their specific diet and physical activity habits, but also according to their circadian preference. The present review therefore focuses (i) on the role of sleep habits in the development of metabolic syndrome, (ii) on the reciprocal relationship between sleep apnea and metabolic syndrome, and (iii) on the results of sleep intervention studies.
| S-EPMC6893600 | biostudies-literature
Project description:Approximately 4 μg of DNA was isolated from blood of each of 16 subjects using the Qiagen DNEasy Blood and Tissue Kit. Of the 16 samples, 8 were from group 1 (CESD-H/TST-H; 5 female, 3 male) and 8 were from group 2 (CESD-H/TST-L; 5 female, 3 male). All DNA samples were confirmed to be of high purity (A260/280: 1.7-2.0). Pooled samples were prepared for each group by combining approximately 75 ng of DNA from each of the eight subjects. These two samples were submitted to the Yale Genomics Core for epigenome-wide methylation profiling using the Illumina Infinium HumanMethylation450 BeadChip, which measures the level of methylation β (a value ranging from 0 to 1, where 0 represents a completely unmethylated site and 1 a completely methylated site) at each of the 485,577 CpG sites on the array. Illuminaâs GenomeStudio software was used to calculate the degree of differential methylation by group for each CpG site on the array, and FDR-adjusted p-values (Q-values) were calculated for each site in order to adjust for multiple comparisons. CESD=depression score; TST=sleep score Blood-derived genomic DNA was isolated from 16 subjects; 8 each with high and low total sleep scores, respectively. DNA was pooled by group and genome-wide methylation profiling was performed.
2016-08-01 | E-GEOD-80559 | biostudies-arrayexpress
Project description:ContextSleep plays important roles in metabolic and reproductive function, and polycystic ovary syndrome (PCOS) is associated with sleep disturbances, including increased prevalence of obstructive sleep apnea.ObjectiveWe sought to evaluate sleep parameters in infertile women with PCOS compared with women with unexplained infertility (UI) and identify risk factors for disturbed sleep.MethodsAt private and academic ambulatory gynecology and infertility practices, we evaluated a prospective cohort of women diagnosed with PCOS or UI from 2 randomized clinical trials. We included 1603 infertile women enrolled in 2 concurrent randomized clinical trials. The main outcome measures were self-reported sleep measures.ResultsSleep duration <6 hours (6.1% vs 2.7%; P < .001), habitual snoring (37.8% vs 19.0%; P < .001), and clinical sleepiness (12.0% vs 8.6%; P < .026) were more common in women with PCOS than those with UI. After adjusting for covariates, PCOS and elevated fasting insulin were associated (P = .010) with clinical symptoms of obstructive sleep apnea (OSA) diagnosis, whereas PCOS, elevated insulin (P = .003), WC >88 cm (P = .003), and current smoking (P = .012) were associated with habitual snoring. Clinical depression score (P < .001) and PCOS diagnosis (P = .002) were associated with perceived daytime sleepiness. Short sleep duration and clinical symptoms of OSA were not associated with conception and live birth rates.ConclusionInfertile women with PCOS more commonly report sleep disturbances than those with UI. Markers of insulin resistance are associated with previous diagnosis of OSA, habitual snoring, and short sleep duration. The presence of clinical symptoms of OSA or short sleep duration does not affect fertility treatment response.
| S-EPMC8530742 | biostudies-literature