Nutritional Interventions to Improve Sleep in Team-Sport Athletes: A Narrative Review

Athletes often experience sleep disturbances and poor sleep as a consequence of extended travel, the timing of training and competition (i.e., early morning or evening), and muscle soreness. Nutrition plays a vital role in sports performance and recovery, and a variety of foods, beverages, and supplements purportedly have the capacity to improve sleep quality and quantity. Here, we review and discuss relevant studies regarding nutrition, foods, supplements, and beverages that may improve sleep quality and quantity. Our narrative review was supported by a semi-systematic approach to article searching, and specific inclusion and exclusion criteria, such that articles reviewed were relevant to athletes and sporting environments. Six databases—PubMed, Scopus, CINAHL, EMBASE, SPORTDiscus, and Google Scholar—were searched for initial studies of interest from inception to November 2020. Given the paucity of sleep nutrition research in the athlete population, we expanded our inclusion criteria to include studies that reported the outcomes of nutritional interventions to improve sleep in otherwise healthy adults. Carbohydrate ingestion to improve sleep parameters is inconclusive, although high glycemic index foods appear to have small benefits. Tart cherry juice can promote sleep quantity, herbal supplements can enhance sleep quality, while kiwifruit and protein interventions have been shown to improve both sleep quality and quantity. Nutritional interventions are an effective way to improve sleep quality and quantity, although further research is needed to determine the appropriate dose, source, and timing in relation to training, travel, and competition requirements.

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Sleep disturbances and frailty status in older adults in Vietnam

Tạp chí Nghiên cứu Y học ◽

10.52852/tcncyh.v141i5.187 ◽

2021 ◽

Vol 141 (5) ◽

pp. 69-74

Author(s):

Nguyen Trung Anh ◽

Nguyen Thi Ngoc Anh ◽

Dang Thi Xuan ◽

Nguyen Xuan Thanh

Keyword(s):

Older Adults ◽

Sleep Quality ◽

Sleep Disturbance ◽

Sleep Disturbances ◽

Early Morning ◽

Cross Sectional Study ◽

Poor Sleep ◽

Cross Sectional ◽

Frailty Status ◽

Geriatric Hospital

This cross-sectional study aimed to describe sleep disturbance and its association with frailty syndrome among 903 older adults at the National Geriatric Hospital in Vietnam. Frailty was diagnosed according to the Fried criteria. Sleep disturbances was assessed based on the Pittsburgh Sleep Quality Index (PSQI). Of 903 patients, the mean age was 71.8 (SD = 8.5), and 537 (59.5%) were female. Most (96.7%) of the patients diagnosed with frailty had poor sleep; 95.3% had to get up at midnight or early morning; 93.3% could not sleep within 30 minutes; 86% had sleep efficiency less than 85%; 53.3% coughed at night; 50.7% had nightmares; and 27.3% and 22.7% of patients felt hot and cold, respectively. The majority (80.0%) of patients must get up to use the bathroom. In conclusion, most older adult diagnosed with frailty experienced at least one form of of sleep disturbance. Medical staffs should attend to the patient’s sleep quality, especially in patients with frailty.

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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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Wudu as Islamic Psychotherapy to Improve Sleep Quality in Young Women

Journal An-Nafs Kajian Penelitian Psikologi ◽

10.33367/psi.v5i1.1042 ◽

2020 ◽

Vol 5 (1) ◽

pp. 64-75

Author(s):

Iredho Fani Reza

Keyword(s):

Sleep Quality ◽

Young Women ◽

Design Research ◽

Sampling Technique ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Test Technique ◽

Paired Samples ◽

Quality Scale ◽

Improve Sleep Quality

Many previous studies have tried to find therapies in dealing with poor sleep quality in women. Where many researchers find that women are more likely to have poor sleep quality than men. Therefore, this study is to prove the effectiveness of wudu as a psychotherapy for sleep quality. This research is a quantitative pre-experimental research with One-Group Pretest-Posttest Design. Research respondents were determined by the purposive sampling technique (N = 17) all of them were young women. To measure sleep quality using the Sleep Quality Scale developed by Yi, Shin, and Shin (2006). Data analysis techniques using the Paired Samples T-Test technique using the help of JASP (Jeffrey's Amazing Statistics Program) version: 0.8.5.1. This study found that wudu therapy is effective in improving sleep quality in young women by focusing on increasing satisfaction with sleep which consists of three indicators namely: 1) Satisfaction Level with overall sleep; 2) Sleep tight; 3) Enough sleep.

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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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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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Sleep Quality and Mental Disorder Symptoms among Canadian Public Safety Personnel

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17082708 ◽

2020 ◽

Vol 17 (8) ◽

pp. 2708

Author(s):

Andréanne Angehrn ◽

Michelle J. N. Teale Sapach ◽

Rosemary Ricciardelli ◽

Renée S. MacPhee ◽

Gregory S. Anderson ◽

...

Keyword(s):

Mental Health ◽

Mental Disorders ◽

Sleep Quality ◽

Mental Disorder ◽

Public Safety ◽

Sleep Disturbances ◽

Poor Sleep ◽

Public Safety Personnel ◽

Safety Personnel ◽

Screening Measures

Poor sleep quality is associated with numerous mental health concerns and poorer overall physical health. Sleep disturbances are commonly reported by public safety personnel (PSP) and may contribute to the risk of developing mental disorders or exacerbate mental disorder symptoms. The current investigation was designed to provide estimates of sleep disturbances among PSP and explore the relationship between sleep quality and mental health status. PSP completed screening measures for sleep quality and diverse mental disorders through an online survey. Respondents (5813) were grouped into six categories: communications officials, correctional workers, firefighters, paramedics, police officers, and Royal Canadian Mounted Police (RCMP). Many PSP in each category reported symptoms consistent with clinical insomnia (49–60%). Rates of sleep disturbances differed among PSP categories (p < 0.001, ω = 0.08). Sleep quality was correlated with screening measures for post-traumatic stress disorder (PTSD), depression, anxiety, social anxiety disorder, panic disorder, and alcohol use disorder for all PSP categories (r = 0.18–0.70, p < 0.001). PSP who screened positive for insomnia were 3.43–6.96 times more likely to screen positive for a mental disorder. All PSP reported varying degrees of sleep quality, with the lowest disturbances found among firefighters and municipal/provincial police. Sleep appears to be a potentially important factor for PSP mental health.

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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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