Sleep quality and body weight status of Malaysian university students

Introduction: Inadequate sleep duration is a modifiable behaviour linked with body weight, yet limited is known on the role of sleep quality with body weight status among university students. The study aimed to determine sleep quality and its association with body weight status among university students. Methods: A crosssectional study was conducted among 240 university students (24.6% males, 75.4% females) with a mean age of 21.22±1.24 years. Subjects were recruited from four faculties of University Putra Malaysia (UPM). Information on socio-demographic, sleep quality and anthropometric measurements were collected. Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality, whereby a summation score from seven components yielded a global score on sleep quality, with higher scores indicating poor sleep quality. Results: Majority of subjects were Malay (79.2%) with a mean body mass index of 22.6kg/m2. A majority (61.3%) had normal body weight, with the prevalences of underweight (UW), overweight (OW), and obesity (OB) at 12.9%, 19.6% and 6.3%, respectively. The mean global PSQI score was 5.76±2.64, with half of the respondents (50.4%) experiencing poor sleep quality. OW-OB experienced poorer sleep quality (6.53±2.79, p=0.004) and longer sleep latency (1.34±0.10, p=0.008) relative to UW-NW. OB subjects had substantially more frequent sleep disturbances compared to non-OB subjects (1.53±0.64, p=0.012). Conclusion: Findings suggest that OW-OB students at university are at a greater risk of having reduced sleep quality with longer sleep latency and frequent sleep disturbances. There is a need for a wellness initiative to reduce the incidence of obesity while fostering healthier sleeping habits among university students.

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Stress and health risk behaviors among university students

Revista Brasileira de Enfermagem ◽

10.1590/0034-7167-2018-0035 ◽

2020 ◽

Vol 73 (1) ◽

Author(s):

Ellaine Santana de Oliveira ◽

Antonia Fabiana Rodrigues da Silva ◽

Kadija Cristina Barbosa da Silva ◽

Tatiana Victória Carneiro Moura ◽

Açucena Leal de Araújo ◽

...

Keyword(s):

University Students ◽

Health Risk ◽

Sleep Quality ◽

Risk Behaviors ◽

Sleep Disturbances ◽

Health Risk Behaviors ◽

Poor Sleep ◽

Stress Profile ◽

Poor Sleep Quality ◽

Cross Sectional

ABSTRACT Objective: To analyze the level of stress and its relationship with health risk behaviors among university students. Method: Cross-sectional analytical study carried out at a higher education institution in Picos-PI. A total of 377 students were evaluated for socio-demographic and academic variables, stress profile, sleep quality, alcohol use, smoking habits and level of physical activity. The Statistical Package for the Social Sciences (SPSS), version 20.0 was used for data processing and analysis. Results: Sleep quality was poor for 65.3% of the subjects, and sleep disturbances were found in 17.0%. Stress was observed in 68.7% of the sample. Stress was associated with the following variables: gender, time in the institution, poor sleep quality. Conclusion: Most of the students evaluated present some level of stress associated with poor sleep quality, which is a risk to the quality of life of these individuals.

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Effect of COVID-19 Quarantine on the Sleep Quality and the Depressive Symptom Levels of University Students in Jordan During the Spring of 2020

Frontiers in Psychiatry ◽

10.3389/fpsyt.2021.605676 ◽

2021 ◽

Vol 12 ◽

Author(s):

Heba Saadeh ◽

Maha Saadeh ◽

Wesam Almobaideen ◽

Assem Al Refaei ◽

Nour Shewaikani ◽

...

Keyword(s):

Mental Health ◽

Depressive Symptoms ◽

University Students ◽

Sleep Quality ◽

Sleep Disturbances ◽

Depression Scale ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Online Questionnaire ◽

Cross Sectional

Objectives: This study was designed to assess the effect of COVID-19 home quarantine and its lifestyle challenges on the sleep quality and mental health of a large sample of undergraduate University students in Jordan. It is the first study applied to the Jordanian population. The aim was to investigate how quarantine for several weeks changed the students' habits and affected their mental health.Methods: A cross-sectional study was conducted using a random representative sample of 6,157 undergraduate students (mean age 19.79 ± 1.67 years, males 28.7%) from the University of Jordan through voluntarily filling an online questionnaire. The Pittsburgh Sleep Quality Index (PSQI) and the Center for Epidemiologic Studies-Depression Scale (CES-D) were used to assess sleep quality and depressive symptoms, respectively.Results: The PSQI mean score for the study participants was 8.1 ± 3.6. The sleep quality of three-quarters of the participants was negatively affected by the extended quarantine. Nearly half of the participants reported poor sleep quality. The prevalence of poor sleep quality among participants was 76% (males: 71.5% and females: 77.8%). Similarly, the prevalence of the depressive symptoms was 71% (34% for moderate and 37% for high depressive symptoms), with females showing higher prevalence than males. The overall mean CES-D score for the group with low depressive symptoms is 9.3, for the moderate group is 19.8, while it is 34.3 for the high depressive symptoms group. More than half of the students (62.5%) reported that the quarantine had a negative effect on their mental health. Finally, females, smokers, and students with decreased income levels during the extended quarantine were the common exposures that are significantly associated with a higher risk of developing sleep disturbances and depressive symptoms.Conclusions: Mass and extended quarantine succeeded in controlling the spread of the COVID-19 virus; however, it comes with a high cost of potential psychological impacts. Most of the students reported that they suffer from sleeping disorders and had a degree of depressive symptoms. Officials should provide psychological support and clear guidance to help the general public to reduce these potential effects and overcome the quarantine period with minimum negative impacts.

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THE RELATIONSHIP BETWEEN SMART PHONE USAGE AND SLEEP DISTURBANCES AND PSYCHOLOGICAL DISSTRESS AMONG STUDENTS

Journal of Medicine and Pharmacy ◽

10.34071/jmp.2017.4.19 ◽

2017 ◽

pp. 125-130

Author(s):

Minh Tam Nguyen ◽

Phuc Thanh Nhan Nguyen ◽

Thi Thuy Hang Nguyen

Keyword(s):

High School ◽

High School Students ◽

University Students ◽

Sleep Quality ◽

Sleep Disturbances ◽

Public Health Problem ◽

Smartphone Addiction ◽

Poor Sleep ◽

School Students ◽

The Relationship

The increasing use of smartphone among young people is creating negative effects and is an important public health problem in many countries. Smartphone abuse and addiction may cause physical and psychological disorders among users. However, the awarenes on this issue has been inadequate due to lacking of evidence. Objectives: To describe the current situation of smartphone using among students at highschools and universities in Hue city and to examine the relationship between smartphone using and sleep disturbances and psychological disstress among participants. Methods: A cross-sectional study with a randomly selected sample of 1,150 students at highschools and universities in Hue city. SAS-SV scale was used to evaluate phone addiction status, K10 scale was used for psychological distress assessment and PSQI scale was used to examine the sleep quality. Results: The proportion of students at highschools and universities having smartphones was 78.0%. The rate of smartphone addiction among high school students was 49.1% and that among university students was 43.7%. There was 57.3% of high school students had poor sleep quality, and that of university students was 51.6%. There was a statistically significant association between smartphone addiction and sleep disturbances and psychological disstress among participants (p <0.05). Conclusion: The prevalence of smartphone addiction among students at highschools and universities is alarming and is related to sleep disturbances and psychological disstress among participants. There is a strong call to develop intervention to help students to aware and manage the use of smartphone effectively.

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Association between depression and sleep quality in patients with systemic lupus erythematosus: a systematic review and meta-analysis

Sleep And Breathing ◽

10.1007/s11325-021-02405-0 ◽

2021 ◽

Author(s):

Rulan Yin ◽

Lin Li ◽

Lan Xu ◽

Wenjie Sui ◽

Mei’e Niu ◽

...

Keyword(s):

Systemic Lupus Erythematosus ◽

Sleep Quality ◽

Lupus Erythematosus ◽

Sleep Disturbances ◽

Cochrane Library ◽

Poor Sleep ◽

Moderate Correlation ◽

Systemic Lupus ◽

Poor Sleep Quality ◽

Subjective Sleep Quality

Abstract Background Currently, there is no consistent understanding of the relationship between depression and sleep quality in patients with systemic lupus erythematosus (SLE). This study aimed to explore the correlation between depression and sleep quality in SLE patients. Methods Five English (PubMed, Web of Science, EMBASE, Cochrane Library, and CINAHL) databases were systematically searched from inception to January 12, 2021. Two authors independently screened publications and extracted data according to set inclusion and exclusion criteria. Statistical analyses were performed with STATA 16.0. Data were pooled using a random-effects model. Results A total of 9 identified studies matched the inclusion criteria, reporting on 514 patients with SLE in the analysis. A moderate correlation of depression with sleep quality was found (pooled r = 0.580 [0.473, 0.670]). Compared to good sleepers, patients with SLE and poor sleep quality had higher levels of depression (standardized mean difference = − 1.28 [− 1.87, − 0.69]). Depression was associated with subjective sleep quality (r = 0.332 [0.009, 0.592]), sleep latency (r = 0.412 [0.101, 0.649]), sleep disturbances (r = 0.405 [0.094, 0.645]), daytime dysfunction (r = 0.503 [0.214, 0.711]), the four dimensions of Pittsburgh Sleep Quality Index (PSQI), while no significant correlation was found in the other three PSQI dimensions. Conclusion Depression had a moderate correlation with sleep quality in patients with SLE. Patients with poor sleep quality tended to have higher level of depression than that of good sleepers. Awareness of the correlation may help rheumatology physicians and nurses to assess and prevent depression and improve sleep quality in patients with SLE.

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601 Comparison of Sleep Parameters in Children with Achondroplasia and Trisomy 21

SLEEP ◽

10.1093/sleep/zsab072.599 ◽

2021 ◽

Vol 44 (Supplement_2) ◽

pp. A236-A237

Author(s):

Jodi Gustave ◽

Kaelyn Gaza ◽

Jennifer Marriner ◽

Seema Rani ◽

Abigail Strang ◽

...

Keyword(s):

Sleep Quality ◽

Rem Sleep ◽

Trisomy 21 ◽

Sleep Disturbances ◽

Sleep Latency ◽

Sleep Efficiency ◽

Sleep Architecture ◽

Poor Sleep ◽

Arousal Index ◽

Sleep Parameters

Abstract Introduction Children with achondroplasia and Trisomy 21 (T21) have increased incidence of sleep disturbances including sleep disordered breathing. Abnormal sleep architecture has been documented in children with T21. It is important to continue to analyze sleep parameters in both groups since poor sleep quality is associated with neurocognitive impairment. Methods Following IRB approval, we performed a retrospective chart review of patients at Nemours/A.I. duPont Hospital for Children in Wilmington, DE with achondroplasia and T21 who underwent an initial polysomnogram (PSG) between 2015 and 2020. We compared sleep architecture parameters between the groups including sleep efficiency, total sleep time (TST), sleep latency, arousal index and concentration of N3 and REM sleep. Results In patients with achondroplasia (n=49, mean age 5.8 months and 63.3% male), 12% reported restless sleep. PSG data revealed TST of 392 minutes, mean sleep efficiency of 82%, mean sleep latency of 9.4 min, mean arousal index of 40, 22% REM sleep and 32% N3 sleep. In the patients with T21 (n=32, mean age 17.8 months and 50% male), 59% reported restless sleep. PSG data revealed TST of 393 minutes, mean sleep efficiency of 82%, mean sleep latency of 14 minutes, arousal index of 35, 15% REM sleep and 40% N3 sleep. The differences in REM and N3 sleep between the two groups were statistically significant (p-values of 0.001 and 0.04, respectively), but the differences in arousal index, TST and sleep efficiency were not. Conclusion Our study showed that children with T21 subjectively noted more restless sleep compared to patients with achondroplasia although TST and sleep efficiency were similar. Patients with achondroplasia had a higher arousal index that was not statistically significant. Children with achondroplasia had a shorter sleep latency and more robust REM concentration, likely due to their younger age. There was a higher concentration of N3 sleep in patients with T21. This is likely due to the decrease in REM concentration. In conclusion, it is important to establish expected sleep parameters in patients with achondroplasia and T21 to maximize sleep quality and mitigate negative neurocognitive effects of poor sleep. Support (if any):

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Relationshp Between Sleep Quality, Mood State, and Performance of Elite Air-Rifle Shooters

10.21203/rs.3.rs-1145112/v1 ◽

2021 ◽

Author(s):

Jiaojiao Lu ◽

Yan An ◽

Jun Qiu

Keyword(s):

Sleep Quality ◽

Mood State ◽

Sleep Latency ◽

Sleep Time ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Somatic Anxiety ◽

And Performance ◽

Air Rifle ◽

Good Sleep

Abstract Background To evaluate the impact of pre-competition sleep quality on the mood and performance of elite air-rifle shooters. Methods This study included 23 elite air-rifle shooters who participated in an air-rifle shooting-competition from April 2019 to October 2019. Sleep time, sleep efficiency, sleep latency, and wake-up time after sleep onset were monitored using actigraphy. The Pittsburgh sleep quality index and Profile of Mood State were used to assess sleep quality. Competitive State Anxiety Inventory-2 was used to evaluate mood state. Results The average time to fall asleep, sleep time, sleep efficiency, and subjective sleep quality were 20.6 ± 14.9 min, 7.0 ± 0.8 h, 85.9 ± 5.3%, and 5.2 ± 2.2, respectively. Sleep quality decreased as the competition progressed. Pre-competition sleep time in female athletes was significantly higher than that on the competition day (P = 0.05). Pre-competition sleep latency was significantly longer in women than in men (P = 0.021). During training and pre-competition, the tension, fatigue, depression, and emotional disturbance were significantly lower in athletes with good sleep quality than in athletes with poor sleep quality. Athletes with good sleep quality had significantly more energy. The PSQI total score was positively correlated with positive emotion, TMD, cognitive anxiety, and somatic anxiety POMS scores, and negatively correlated with energy and self-confidence scores. Race scores and depression and somatic anxiety scores were negatively correlated. Conclusion Poor sleep quality negatively impacted the mood of athletes; however, sleep indices and competition performance of athletes during competitions were not significantly correlated.

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Perception of Sleep Disturbances due to Bedtime Use of Blue Light-Emitting Devices and Its Impact on Habits and Sleep Quality among Young Medical Students

BioMed Research International ◽

10.1155/2019/7012350 ◽

2019 ◽

Vol 2019 ◽

pp. 1-8

Author(s):

Asmaa Jniene ◽

Leila Errguig ◽

Abdelkader Jalil El Hangouche ◽

Hanan Rkain ◽

Souad Aboudrar ◽

...

Keyword(s):

Medical Students ◽

Sleep Quality ◽

Blue Light ◽

Sleep Disturbances ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Light Emitting ◽

Light Emitting Devices ◽

The Mean ◽

Perception Of Sleep

Introduction. The use of blue light-emitting devices (smartphones, tablets, and laptops) at bedtime has negative effects on sleep due to light stimulation and/or problematic excessive use. We aimed to evaluate, among young medical students, if the perception of sleep disturbances due to bedtime use of these devices is consistent with healthier habits and a better sleep quality. Materials and methods. 294 medical students in medicine and pharmacy from the Faculty of Medicine and Pharmacy of Rabat, Morocco, took part in this anonymous and voluntary cross-sectional study and answered an electronic questionnaire. Student and Mann–Whitney U tests were used to compare variables between 2 groups based on their perception of sleep disturbances. The level of significance was p≤0.05. Results. 286 students (97.3%) used a blue light-emitting smart device at bedtime before sleep, and sleep quality was poor (Pittsburgh Sleep Quality Index, PSQI > 5) in 101 students (35.3%). The perception of sleep disturbances due to this night usage was reported by 188 of them (65.7%). In this group, 154 (81.9%) used their device with all the lights turned off in the room (p=0.02), 34 (18.1%) put devices under pillows (p=0.04), 114 (60.6%) interrupted sleep to check messages (p<0.001), and the mean duration use of these technologies at bedtime was 2 h ± 23 min per night (p=0.02). Also, the mean sleep duration was 6.3 hours ± 1.25 (p=0.04), 119 (63.3%) presented fatigue on waking more than one time per week (p=0.04), and 76 (40.4%) presented poor sleep quality (75.2% of the students with PSQI > 5) (p=0.005). Conclusions. Despite the perception of sleep disturbances due to bedtime use of blue light-emitting devices, unhealthy sleep habits tend to be frequent in young medical students and worrying because it is associated to significant poor sleep quality.

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Poor sleep quality in systemic lupus erythematosus: does it depend on depressive symptoms?

Lupus ◽

10.1177/0961203314540762 ◽

2014 ◽

Vol 23 (13) ◽

pp. 1350-1357 ◽

Cited By ~ 22

Author(s):

L Palagini ◽

C Tani ◽

R M Bruno ◽

A Gemignani ◽

M Mauri ◽

...

Keyword(s):

Systemic Lupus Erythematosus ◽

Depressive Symptoms ◽

Sleep Quality ◽

Lupus Erythematosus ◽

Sleep Disturbances ◽

Control Group ◽

Poor Sleep ◽

Systemic Lupus ◽

Poor Sleep Quality ◽

Obstructive Sleep

Objectives Sleep disturbances are frequently observed in rheumatic diseases including systemic lupus erythematosus (SLE). This study aimed at evaluating the prevalence of insomnia, poor sleep quality and their determinants in a cohort of SLE patients. Methods Eighty-one consecutive SLE female patients were evaluated in a cross-sectional study. The Pittsburgh Sleep Quality Index (PSQI), the Insomnia Severity Index (ISI), the Beck Depression Inventory (BDI) and the Self-rating Anxiety Scale (SAS) were administered. Patients with previous diagnosis of obstructive sleep apnea or restless legs syndrome were excluded. Fifty-three women with hypertension (without SLE) were enrolled as control group (H). Results In the SLE cohort poor sleep quality (65.4% vs 39.6%, p < 0.01) and difficulty in maintaining sleep and/or early morning awakening (65.4% vs 22.6%, p < 0.001), but not insomnia (33.3% vs 22.6%, p = ns), were more prevalent than in H. Depressive symptoms were present in 34.6% of SLE vs 13.2% H patients ( p < 0.001) while state anxiety was more common in H patients (H 35.8% vs SLE 17.3%, p < 0.005). SLE was associated with a 2.5-times higher probability of presenting poor sleep quality in comparison to H (OR 2.5 [CI 1.21–5.16]). After adjusting for confounders, both depressive symptoms (OR 4.4, [1.4–14.3]) and use of immunosuppressive drugs (OR 4.3 [CI 1.3–14.8]) were significantly associated with poor sleep quality in SLE patients. Furthermore, poor sleep quality was not associated either with disease duration or activity. Conclusions In a cohort of SLE women, insomnia and poor sleep quality, especially difficulties in maintaining sleep, were common. Depressive symptoms might be responsible for the higher prevalence of poor sleep quality in SLE.

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Factors associated with poor sleep quality in women with cancer

Revista Latino-Americana de Enfermagem ◽

10.1590/1518-8345.1478.2858 ◽

2017 ◽

Vol 25 (0) ◽

Cited By ~ 4

Author(s):

Thalyta Cristina Mansano-Schlosser ◽

Maria Filomena Ceolim

Keyword(s):

Sleep Quality ◽

Quality Index ◽

Sleep Disturbances ◽

Pittsburgh Sleep Quality Index ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Factors Associated ◽

Scale Data

ABSTRACT Objectives: to analyze the factors associated with poor sleep quality, its characteristics and components in women with breast cancer prior to surgery for removing the tumor and throughout the follow-up. Method: longitudinal study in a teaching hospital, with a sample of 102 women. The following were used: a questionnaire for sociodemographic and clinical characterization, the Pittsburgh Sleep Quality Index; the Beck Depression Inventory; and the Herth Hope Scale. Data collection covered from prior to the surgery for removal of the tumor (T0) to T1, on average 3.2 months; T2, on average 6.1 months; and T3, on average 12.4 months. Descriptive statistics and the Generalized Estimating Equations model were used. Results: depression and pain contributed to the increase in the score of the Pittsburgh Sleep Quality Index, and hope, to the reduction of the score - independently - throughout follow-up. Sleep disturbances were the component with the highest score throughout follow-up. Conclusion: the presence of depression and pain, prior to the surgery, contributed to the increase in the global score of the Pittsburgh Sleep Quality Index, which indicates worse quality of sleep throughout follow-up; greater hope, in its turn, influenced the reduction of the score of the Pittsburgh Sleep Quality Index.

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