Assessing Sleep Quality and Its Effects on Academic Performance among University Students

2021 ◽  
Author(s):  
Md Moyazzem Hossain ◽  
Md Habibur Rahman
Keyword(s):  
Academic Performance ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Sleep Disturbances ◽  
Modern Society ◽  
Primary Data ◽  
Subjective Sleep Quality ◽  
Learning Abilities ◽  
Rest Time

Background and Objective: Insufficient sleep duration as well as quality is becoming endemic in our modern society. The time of going to bed and sleep quality and quantity are linked with students’ learning abilities and academic accomplishment. Therefore, this paper firstly opted to measure the level of sleep quality of the students of Jahangirnagar University, Savar, Dhaka-1342, Bangladesh, and finally detect the association between quality of sleep and academic achievement among the students. Materials and Methods: The primary data were collected through a self-administered questionnaire from 334 students with a response rate about 84 percent during February to March 2019. Pittsburgh Sleep Quality Index (PSQI) was used to measure the sleep quality of the students. The percent distribution, descriptive statistics, and multiple regression were employed to identify the influence of the components of sleep quality on academic performance. Results: Only the sleep quality of one-fourth of the students was good. Moreover, sleep duration, subjective sleep quality, and daytime dysfunction were positively related to the academic performance; however, sleep latency, sleep disturbances, use of sleeping medications, and habitual sleep efficiency were inversely associated with the academic performance of the students. Conclusion: Academic performance of a student was related to the components of sleep quality. Thus, this study indicates that students with poor academic performance have problems regarding sleep issues. Medical advice should be followed to maintain a healthier lifestyle including adequate rest time.

scholarly journals A Cross-Sectional Questionnaire Based Study to Evaluate Subjective Sleep Quality among Undergraduate Students in India

2013 ◽  
Author(s):  
Nirmegh Basu ◽  
Akansha Saxena ◽  
Ayushi Sarraf ◽  
Anoop Singh ◽  
Akshanshi Gulani ◽  
...  
Keyword(s):  
Academic Performance ◽  
Sleep Quality ◽  
Undergraduate Students ◽  
Negative Impact ◽  
Well Being ◽  
Common Belief ◽  
Survey Analysis ◽  
Subjective Sleep Quality ◽  
Subjective Sleep

Irregular sleep patterns are often a major hindrance in the life of undergraduate students, fueled by the undulating lifestyle anomalies and new vulnerabilities that come with college life. Insomnia, slapdash sleep cycles, and daytime dysfunction may affect both physical as well as mental well-being of individuals. India has the largest share of young adults in the world, which also makes it a likely epicenter for increasing sleep disorders. Students are often exposed to a significantly high level of academic burden and turn to options such as pulling all-nighters that further propel these issues. Most students realize the effects of a bad sleep schedule but nonetheless sacrifice it for the promise of better grades ignoring the double-edged sword. This study assesses the association of self-rated subjective sleep quality with habits prevalent among undergraduate students in India and its effect on their academic performance. Based on a modified PSQI questionnaire, the participants’ sleep quality was scored and a large majority of students showed an overall moderately good sleep quality. Insufficient sleep was seen to have an adverse effect on facial appearance, work productivity and enthusiasm for daily chores, among students. Unlike previous reports, the current dataset did not reveal any significant impact of sleep quality on the academic performance of the students. We also analyzed the most prevalent factors that were responsible for disruption of sleep in college goers and probed the major reasons for nighttime phone usage, which revealed social media to be a major contributor. Although the negative impact of sleep deprivation on academic performance has been studied earlier, any differential impact of stream has not been addressed thoroughly. Unlike the common belief of disparity induced due to stream-based academic pressure, our survey analysis showed insignificant contribution of stream leading to differences in sleep quality of students. Although participants’ reported mild disruption in sleep, it was observed across all streams and it did not seem to have an immediate effect on overall sleep quality of undergraduate students.

scholarly journals A Study on Correlation between Severity of Depression and Quality of Sleep

2017 ◽  
Vol 4 (4) ◽  
Author(s):  
Dr. M. Sridhar ◽  
Dr. Syed Ummar I ◽  
Dr. Sushith Sugathan Chennatte
Keyword(s):  
Sleep Quality ◽  
Epworth Sleepiness Scale ◽  
Tamil Nadu ◽  
Sleep Disturbances ◽  
Pearson Correlation ◽  
Psychotic Depression ◽  
Quality Of Sleep ◽  
Subjective Sleep Quality ◽  
Severity Of Depression

Objective: To study the correlation between severity of depression and the quality of sleep disturbances in patients with non psychotic depression. Method: A cross-sectional study of a cohort of 30 outpatient sample with non psychotic depression were recruited for the study. Controls were the accompanying relatives of the patients. Study was conducted at a government hospital in Tamil Nadu, South India. Inclusion criteria in the study group required fulfillment of ICD 10 criteria for major depressive disorder. Patients who were 18yrs of age and above and both male and female genders were included in the study. Both study and control groups were administered the Pittsburg Sleep Quality Index (PSQI) and the Epworth sleepiness scale to measure the quality of sleep disturbances in the sample. Correlation between HAMD depression severity and the PSQI sleep quality scores and the Epworth sleepiness scale scores in the depressive patients and the correlation between nocturnal sleep disturbances and day-time sleepiness among depressed patients were analyzed using Pearson correlation coefficient. Results: Analysis revealed significant inverse correlation between the severity of depression and components of quality of sleep such as subjective sleep quality, total sleep duration and habitual sleep efficiency and positive correlation with sleep latency. Conclusions: Study shows that as the severity of depression increases the severity of sleep disturbances also increases which also was significant when compared with the various components of sleep quality on the PSQI scale.

scholarly journals A Cross-Sectional Questionnaire Based Study to Evaluate Subjective Sleep Quality among Undergraduate Students in India

2021 ◽  
Author(s):  
Nirmegh Basu ◽  
Akansha Saxena ◽  
Ayushi Sarraf ◽  
Anoop Singh ◽  
Akshanshi Gulani ◽  
...  
Keyword(s):  
Academic Performance ◽  
Sleep Quality ◽  
Undergraduate Students ◽  
Negative Impact ◽  
Well Being ◽  
Common Belief ◽  
Survey Analysis ◽  
Subjective Sleep Quality ◽  
Subjective Sleep

Irregular sleep patterns are often a major hindrance in the life of undergraduate students, fueled by the undulating lifestyle anomalies and new vulnerabilities that come with college life. Insomnia, slapdash sleep cycles, and daytime dysfunction may affect both physical as well as mental well-being of individuals. India has the largest share of young adults in the world, which also makes it a likely epicenter for increasing sleep disorders. Students are often exposed to a significantly high level of academic burden and turn to options such as pulling all-nighters that further propel these issues. Most students realize the effects of a bad sleep schedule but nonetheless sacrifice it for the promise of better grades ignoring the double-edged sword. This study assesses the association of self-rated subjective sleep quality with habits prevalent among undergraduate students in India and its effect on their academic performance. Based on a modified PSQI questionnaire, the participants’ sleep quality was scored and a large majority of students showed an overall moderately good sleep quality. Insufficient sleep was seen to have an adverse effect on facial appearance, work productivity and enthusiasm for daily chores, among students. Unlike previous reports, the current dataset did not reveal any significant impact of sleep quality on the academic performance of the students. We also analyzed the most prevalent factors that were responsible for disruption of sleep in college goers and probed the major reasons for nighttime phone usage, which revealed social media to be a major contributor. Although the negative impact of sleep deprivation on academic performance has been studied earlier, any differential impact of stream has not been addressed thoroughly. Unlike the common belief of disparity induced due to stream-based academic pressure, our survey analysis showed insignificant contribution of stream leading to differences in sleep quality of students. Although participants’ reported mild disruption in sleep, it was observed across all streams and it did not seem to have an immediate effect on overall sleep quality of undergraduate students.

Sleep quality in caregivers of patients with Alzheimer's disease and Parkinson's disease and its relationship to quality of life

2012 ◽  
Vol 24 (11) ◽  
pp. 1827-1835 ◽  
Author(s):  
Chiara Cupidi ◽  
Sabrina Realmuto ◽  
Gianluca Lo Coco ◽  
Antonio Cinturino ◽  
Simona Talamanca ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Alzheimer’S Disease ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Subjective Sleep Quality ◽  
Subjective Sleep

ABSTRACTBackground: Knowledge about sleep complaints of caregivers of patients with Alzheimer's disease (AD) and Parkinson's disease (PD) is limited, and we lack information about the relationship between caregivers’ sleep problems and their quality of life (QoL).Methods: We evaluated subjective sleep quality and its relationship to QoL in a group of 80 caregivers of patients with AD (ADCG, n = 40) and PD (PDCG, n = 40), and in 150 controls. Information about night-time complaints was collected using the Pittsburgh Sleep Quality Index (PSQI). QoL was measured using the McGill QoL Questionnaire.Results: Eighteen ADCG (45%), 22 PDCG (55%), and 45 (30%) controls reported poor sleep quality. Mean global PSQI score of PDCG (6.25 ± 3.9) was not significantly different from that of ADCG (5.8 ± 3.5; p = 0.67). However, both PDCG and ADCG scored significantly higher than control group (4.3 ± 3.1; p < 0.01). ADCG frequently reported difficulties falling asleep (72.5%) and disturbed sleep (100%). PDCG reported reduced subjective sleep quality (80%) and increased sleep disturbances (100%). Poor sleep quality was associated with depressive symptoms and correlated with QoL in caregivers of both groups, particularly the psychological symptoms domain.Conclusions: Among caregivers of patients with AD and PD, poor sleep quality is frequent and significantly linked to QoL and depressive symptoms. Identifying the nature of sleep disturbances not only in patients but also in their caregivers is important as appropriate treatment may lead to a better management of the needs of families coping with these patients.

SUBJECTIVE SLEEP QUALITY AND INTEROCEPTIVE SENSITIVITY CADETS

2019 ◽  
pp. 71-82
Author(s):  
A. Denisiievska
Keyword(s):  
Sleep Quality ◽  
Sleep Duration ◽  
Negative Correlation ◽  
Sleep Problems ◽  
Strong Positive Correlation ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Weak Negative Correlation ◽  
Interoceptive Sensitivity

The article presents the research of the problem of sleep quality of students. After the theoretical analysis of the problem of healthy sleep among cadets and students it was defined that these categories of population are one of the most sensitive to sleep problems, because of changing their social status, increasing responsibility, requirements and tense schedule. This problem is also relevant because of the current military-political situation. The article presents the results of empirical research, which shows the difference between the components of sleep quality among cadets and students. It has been found that there are significant differences between cadets and students by such components as «subjective sleep quality», «sleep latency», «sleep duration», «use of sleeping medication», «daytime dysfunction», which show higher results at cadets. There are no significant differences between cadets and students according to the calculated index of interoceptive sensitivity. Average rates for cadets and students are close to high. Also, there was revealed connection between interoceptive sensitivity and subjective quality of sleep, which is defined by a weak negative correlation between these two indicators. In addition, there also were found a strong positive correlation between sleep duration and interoceptive sensitivity and a weak negative correlation between sleep disturbance and interoceptive sensitivity. The received results open up the opportunities to further research such as: a more detailed and volume study of sleep quality, an intensification of the study of connection between interoception, indicators of sleep quality and subjective sleep quality on different samples.

scholarly journals Sleep Quality, Mental and Physical Health: A Differential Relationship

2021 ◽  
Vol 18 (2) ◽  
pp. 460
Author(s):  
Violeta Clement-Carbonell ◽  
Irene Portilla-Tamarit ◽  
María Rubio-Aparicio ◽  
Juan J Madrid-Valero
Keyword(s):  
Young Adults ◽  
Sleep Quality ◽  
Physical Health ◽  
Sleep Disturbances ◽  
Subjective Sleep Quality ◽  
Related Quality ◽  
Health Related ◽  
Mental Hrqol ◽  
Mental And Physical Health

This study aimed to explore the association between sleep quality and its components and both dimensions of health-related quality of life (HRQoL) in a sample of young adults. The sample comprised 337 participants with a mean age of 19.6 y (SD = 2.22). Sleep quality and HRQoL were measured through the Pittsburgh Sleep Quality Index and the SF-12, respectively. Regression analyses were used to investigate the association between sleep quality and HRQoL. Our results confirm the significant association between sleep quality and both physical (p = 0.015; β = −0.138; R2 = 0.07) and mental (p < 0.001; β = −0.348; R2 = 0.22) HRQoL in the adjusted models. However, our results also highlight the differential association between sleep quality and mental and physical HRQoL. Whereas all the sleep quality components (except sleep latency; p = 0.349) were significantly associated with mental HRQoL (p < 0.05), just two subscales (subjective sleep quality; p = 0.021; β = −0.143 and sleep disturbances p = 0.002; β = −0.165) showed a significant association. This study showed that there is a stronger association between sleep quality and mental health than sleep quality and physical health in young adults.

scholarly journals Association of Subjective Quality and Quantity of Sleep with Quality of Life among a General Population

2021 ◽  
Vol 18 (23) ◽  
pp. 12835
Author(s):  
Kentaro Matsui ◽  
Takuya Yoshiike ◽  
Kentaro Nagao ◽  
Tomohiro Utsumi ◽  
Ayumi Tsuru ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Structural Equation ◽  
Short Form ◽  
Equation Modeling ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Insomnia Symptoms

This study aimed to determine whether both subjective sleep quality and sleep duration are directly associated with quality of life (QOL), as well as indirectly associated with QOL through insomnia symptoms. Individuals aged 20–69 years without mental illness (n = 9305) were enrolled in this web-based cross-sectional survey. The Short Form-8 was used to assess physical and mental QOL. We used the Pittsburgh Sleep Quality Index (PSQI) and extracted items related to subjective sleep quality and sleep duration. Insomnia symptoms were also extracted from the PSQI. The hypothesized models were tested using structural equation modeling. Worse sleep quality, but not shorter sleep duration, was related to worse physical QOL. Both worse sleep quality and shorter sleep duration were related to worse mental QOL. Insomnia symptoms mediated these relationships. Subgroup analyses revealed a U-shaped relationship between sleep duration and physical/mental QOL. However, the relationship between sleep quality and physical/mental QOL was consistent regardless of sleep duration. The results suggest that subjective sleep quality has a more coherent association with QOL than subjective sleep duration. Because of its high feasibility, a questionnaire on overall sleep quality could be a useful indicator in future epidemiological studies of strategies for improving QOL.

scholarly journals The critical influence of nocturnal breathing complaints on the quality of sleep after stroke: the Pittsburgh Sleep Quality Index and STOP-BANG

2017 ◽  
Vol 75 (11) ◽  
pp. 785-788 ◽  
Author(s):  
Giuliano da Paz Oliveira ◽  
Eliana Regina Lottemberg Vago ◽  
Gilmar Fernandes do Prado ◽  
Fernando Morgadinho Santos Coelho
Keyword(s):  
Sleep Quality ◽  
Quality Index ◽  
Sleep Disturbances ◽  
Pittsburgh Sleep Quality Index ◽  
Poor Quality ◽  
Quality Of Sleep ◽  
Stroke Patients ◽  
Subjective Sleep Quality ◽  
Quality Sleep

ABSTRACT In stroke patients particularly, many factors, such as sleep-related respiratory disturbances, can impair sleep. Cheap and easy-to-use tools have been created to identify sleep quality and sleep disturbances in patients after stroke. This study described the scores of the sleep apnea screening questionnaire - STOP-BANG - in patients after a stroke, and correlated the findings with sleep quality measured by the Pittsburgh Sleep Quality Index (PSQI). The scores of the STOP-BANG and PSQI were 4.3 ± 1.8 and 76 ± 3.9, respectively. The STOP-BANG scores were higher in poor sleepers (4.5 ± 1.6 versus 3.5 ± 1.9; p = 0.032). Logistic regression analysis was used to identify predictors of subjective sleep quality (PSQI) and the STOP-BANG as a predictor of poor quality sleep, with a relative risk of 1.6, controlled for age and sex. This study indicated that sleep quality was largely influenced by sleep breathing problems, which were well identified by the STOP-BANG, especially in younger stroke patients.

Sleep, health, and society

2018 ◽  
Author(s):  
Francesco P. Cappuccio ◽  
Michelle A. Miller ◽  
Steven W. Lockley ◽  
Shantha M. W. Rajaratnam
Keyword(s):  
Sleep Deprivation ◽  
Sleep Duration ◽  
Sleep Disturbances ◽  
Modern Society ◽  
Social Conditions ◽  
Sleep Health ◽  
Health And Wellbeing

Sleep disturbances are common in modern society. Since the beginning of the century, populations have shown a decline in sleep duration, owing to changes in environmental and social conditions. Industry was the first to appreciate the detrimental effects of sleep disturbances on health and wellbeing. It has taken, however, many decades to understand the implications for individuals and populations of sustained sleep deprivation.

Sleep disturbance in patients attending specialized chronic pain clinics in Denmark: a longitudinal study examining the relationship between sleep and pain outcomes

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Henrik Bjarke Vaegter ◽  
Mette Terp Høybye ◽  
Frederik Hjorth Bergen ◽  
Christine E. Parsons
Keyword(s):  
Quality Of Life ◽  
Chronic Pain ◽  
Sleep Quality ◽  
Pain Intensity ◽  
Sleep Disturbances ◽  
Pain Disability ◽  
Pain Clinics ◽  
Pain Outcomes

Abstract Objectives Sleep disturbances are highly prevalent in patients with chronic pain. However, the majority of studies to date examining sleep disturbances in patients with chronic pain have been population-based cross-sectional studies. The aims of this study were to 1) examine the frequency of sleep disturbances in patients referred to two interdisciplinary chronic pain clinics in Denmark, 2) explore associations between sleep disturbances and pain intensity, disability and quality of life at baseline and follow-up, and 3) explore whether changes in sleep quality mediated the relationships between pain outcomes at baseline and pain outcomes at follow-up. Methods We carried out a longitudinal observational study, examining patients enrolled in two chronic pain clinics assessed at baseline (n=2,531) and post-treatment follow-up (n=657). Patients reported on their sleep disturbances using the sleep quality subscale of the Karolinska Sleep Questionnaire (KSQ), their pain intensity using 0–10 numerical rating scales, their pain-related disability using the Pain Disability Index (PDI), and quality of life using the EuroQol-VAS scale. The average time between baseline and follow-up was 207 days (SD=154). Results At baseline, the majority of patients reported frequent sleep disturbances. We found a significant association at baseline between self-reported sleep disturbances and pain intensity, pain-related disability, and quality of life, where greater sleep disturbance was associated with poorer outcomes. At follow-up, patients reported significant improvements across all pain and sleep outcomes. In two mediation models, we showed that changes in sleep disturbances from baseline to follow-up were significantly associated with (i) pain intensity at follow-up, and (ii) pain disability at follow-up. However, baseline pain intensity and disability scores were not associated with changes in sleep disturbances and, we did not find evidence for significant mediation of either pain outcome by changes in sleep disturbances. Conclusions Self-reported sleep disturbances were associated with pain outcomes at baseline and follow-up, with greater sleep disturbances associated with poorer pain outcomes. Changes in sleep quality did not mediate the relationships between baseline and follow-up scores for pain intensity and disability. These findings contribute to a growing body of evidence confirming an association between sleep and chronic pain experience, particularly suggestive of a sleep to pain link. Our data following patients after interdisciplinary treatment suggests that improved sleep is a marker for a better outcome after treatment.

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