scholarly journals The Effect of Warm Footbath on the Quality of Sleep on Patients with Acute Coronary Syndrome in Cardiac Care Unit

2019 ◽  
Vol 8 (3) ◽  
pp. 137-142 ◽  
Author(s):  
Hassan Talebi Ghadicolaei ◽  
Mohammad Ali Heydary Gorji ◽  
Babak Bagheri ◽  
Jamshid Yazdani charati ◽  
Zoya Hadinejad
Keyword(s):  
Acute Coronary Syndrome ◽  
Sleep Quality ◽  
Sleep Disorders ◽  
Cardiac Care ◽  
Control Group ◽  
Quality Of Sleep ◽  
Coronary Syndrome ◽  
Number Of Patients ◽  
Cardiac Care Unit

Introduction: This study aimed to determine the effect of warm footbath before bedtime on the quality of sleep on patients with acute Coronary Syndrome in Cardiac Care Unit. Methods: This study was conducted on 120 patients admitted to CCU at Mazandaran Heart Center and randomly divided into two groups of intervention and control. In the intervention group, warm footbath was performed after the second night in hospital before bed time by 41 C water for 20 minutes for three consecutive nights; in contrast, the control group did not receive anything of this sort. The next day, St Mary's Hospital Sleep Questionnaire was completed to evaluate sleep quality. Then, the obtained data were analyzed using SPSS software and Friedman, Wilcoxon exact statistical tests. Results: The quality of sleep in the first night of hospitalization was different from the third night after the intervention in both groups and the improvement process of sleep quality was observed in both groups. Most patients had moderate impairments (23-36), which had not changed during the intervention. In intervention groups, 8 patients had severe sleep disorders (greater than 37), which declined to 1 after three nights of intervention. While, in the control group this number fell from 10 patients with severe sleep disorders to 5. Warm footbath had a great positive impact on patients suffering from severe sleep disorders (P<0.05). Conclusion: Although warm footbath did not improve the quality of sleep in all patients, it reduced the number of patients who had severe sleep disturbances.

scholarly journals Sleep Characteristics Among Women With and Without PCOS

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. A745-A745
Author(s):  
Karen Oppermann ◽  
Stéfanie Zamboni Perozzo Hemkemeier ◽  
Ana Victoria Reichert ◽  
Lais Weber ◽  
Laura Rinaldi
Keyword(s):  
Sleep Apnea ◽  
Sleep Quality ◽  
Sleep Disorders ◽  
Daytime Sleepiness ◽  
Abdominal Circumference ◽  
Control Group ◽  
Quality Of Sleep ◽  
Obstructive Sleep ◽  
The Mean

Abstract Clinical studies indicate that sleep disorders, including obstructive sleep apnea (OSA) and excessive daytime sleepiness, occur more frequently among women with PCOS compared to comparison groups without the syndrome. The presence of OSA in PCOS is associated with worsening of metabolic parameters. There is some evidence that obesity directly contributes to OSA among women with PCOS, although, it does not fully account for findings from community-and clinic-based studies. Questionnaires are used as screening for sleep disorders. The objective was to verify the quality of sleep, the prevalence of OSA and daytime sleepness among women with PCOS compared to control group. The sample size calculation was based on estimates bad quality of sleep among women with PCOS in 80% and among control women in 45% (1). The sample with 58 women, 29 each group, had a power of 80%, with a significance level of 0.05. This is a cross sectional study with 29 patients with PCOS and 31 controls from Gynecology Endocrinology Ambulatory of São Vicente de Paulo Hospital, Passo Fundo, RS, Brazil, who consulted between January 2017 and March 2020. Women with PCOS by Rotterdam criteria and controls were under 40 years old and no pregnant. Controls women had regular cycles, no history of PCOS or hirsutism and had normal ovaries on transvaginal ultrasound. Age, BMI, blood pressure (BP), waist circumference (WC) were measured. It was applied the validated questionnaires of Pittsburgh Sleep Quality Index, to classify in good and bad sleep quality; Epworth Sleepiness Scale for daytime sleepiness and Berlim Questionnaire for evaluate sleep apnea risk. The mean of age was 30.6 ± 5.9, PCOS 29.1± 6.7 versus 32.3±4.7, p=0.06. The group of PCOS women was heavier (BMI 32.4±6.1versus 28.0 ± 5.3, p=0.04) and presented higher WC (101.3±16.1 versus 91.6 ±14cm, p=0.03). The mean of BP was similar between the groups. The prevalence of bad sleep quality was 53.6% for women with PCOS and 63.1% for controls (p=0.29). The daytime sleepiness was present in 14,5% of the women with PCOS and 35.7% of controls (p=0,061) and the sleep apnea risk was 32.1% for women with PCOS and 21.4% for controls (p=0.27). The association of risk of OSA was verified with robust multivariate Poisson. The prevalence ratio (PR) of BMI ≥ 30 was 1.820 (CI 1.281-2.587) p&lt;0.001, BMI ≥ 25 1.549 (IC 1.067- 2.250) p=0.02, adjusted for age, WC and PCOS diagnosis. In conclusion, there was no difference in prevalence of quality of sleep, OSA risk or daytime sleepiness between women with PCOS and controls. The risk of OSA was higher in obese women independently of age, abdominal circumference and PCOS diagnosis. Reference: (1) Fernandez et al., Nature and Science of Sleep 2018; 10: 45–64.

scholarly journals 696 Quality of sleep is the only predictor of suicide during Covid-19 lockdown in University students?

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A272-A272
Author(s):  
Alessandra Castelnuovo ◽  
Samantha Mombelli ◽  
Daniela Bottoni ◽  
Antonella Somma ◽  
Andrea Fossati ◽  
...  
Keyword(s):  
Medical Students ◽  
Suicidal Ideation ◽  
Sleep Quality ◽  
Sleep Disorders ◽  
Social Stress ◽  
Depression Symptoms ◽  
Daily Routine ◽  
Quality Of Sleep ◽  
Suicidal Thoughts

Abstract Introduction COVID-19 epidemic led to great psychological and social stress, related to anxiety, depression, sleep disorders, suicidal risk and behavior, and changes in daily routine. The aim of this study was to assess the psychological impact of COVID-19 lockdown in Italian students. We focused on perceived sleep quality, anxiety and depression symptoms, and mostly on risk of suicide. Methods A total of 307 students (mean age 22.84±2.68) completed Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), Beck Anxiety Inventory (BAI), and Beck Depression Inventory-II (BDI-II). In our study, we focused on item 9 of BDI-II, that is related to suicide. We divided our sample on presence or absence of suicidal ideation based on this item. Results We found that 30.1% showed depressive, while 38.2% anxious symptoms. Concerning item 9 of BDI-II (suicidal thoughts or wishes), 84.7% answered that they do not have any thoughts of killing themselves, while 15.3% answered that they have some suicidal ideation. Concerning sleep variables, we found that 58% of our sample showed a PSQI total score higher than 5 (poor quality of sleep), and a global worsening in sleep quality and increase of insomnia both in student with and without suicidal ideation. Conclusion Our results on risk of suicide are in line with literature. Recent reviews focused on suicidal ideation in medical students found that depressive symptoms and suicidal ideation are common among medical students, finding a prevalence of suicidal ideation of 11%. Several studies suggest that sleep disorders are a risk factor for suicidal thoughts and behaviours. Our findings show that sleep cannot considered a predictive factor of risk of suicide during health emergency, because the risk is polyfactorial. Support (if any) None

scholarly journals Quality of sleep in pregnant woman with low back pain

2015 ◽  
Vol 28 (2) ◽  
pp. 319-326 ◽  
Author(s):  
Vanessa Patrícia Soares de Sousa ◽  
Silvia Oliveira Ribeiro ◽  
Carla Monique Ribeiro de Aquino ◽  
Elizabel de Souza Ramalho Viana
Keyword(s):  
Low Back Pain ◽  
Back Pain ◽  
Sleep Quality ◽  
Pearson Correlation ◽  
Control Group ◽  
Low Back ◽  
Quality Of Sleep ◽  
Pressure Algometer ◽  
The Relationship

Introduction Pregnancy is characterized by several changes in her body. These changes contribute to the emergence of low back pain, which may influence the quality of sleep during pregnancy. Objective To compare the quality of sleep among pregnant women with and without low back pain during pregnancy, examining the relationship between two variables. Materials methods Thirty volunteers aged between 19 and 36 years, divided into control group (CG – n = 16) and Study Group (SG – n = 14), residents in the cities of Natal, were evaluated in the second trimester of pregnancy. To sleep evaluation were used to index the Pittsburgh Sleep Quality and the Epworth Sleepiness Scale. Low back pain was evaluated using the pressure algometer, Visual Analogue Scale (VAS) and Oswestry Disability Index. Statistical analysis used the Shapiro Wilk test, Student’s T test for independent samples and Pearson correlation test. Results The mean gestational and chronological ages were 28.2 ± 3.4 years and 19.9 ± 3.7 weeks, respectively. Sleep quality was lower in SG (8.21 ± 4.8) when compared to CG (5.94 ± 1.7) and was statistically significant (P = 0.021). Analyzing the relationship between sleep quality and pain intensity, it was observed that the variables have a positive correlation between them (r = 0.372, P = 0.043). Conclusion Our findings indicate that sleep quality is decreased in women with low back pain compared to those without pain.

scholarly journals Examining relationships between sleep posture, waking spinal symptoms and quality of sleep: A cross sectional study

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0260582
Author(s):  
Doug Cary ◽  
Angela Jacques ◽  
Kathy Briffa
Keyword(s):  
Sleep Quality ◽  
Online Survey ◽  
General Information ◽  
Control Group ◽  
Quality Of Sleep ◽  
Cross Sectional ◽  
Obstructive Sleep ◽  
Patient Reported ◽  
Sleep Posture

Introduction Research with a focus on sleep posture has been conducted in association with sleep pathologies such as insomnia and positional obstructive sleep apnoea. Research examining the potential role sleep posture may have on waking spinal symptoms and quality of sleep is however limited. The aims of this research were to compare sleep posture and sleep quality in participants with and without waking spinal symptoms. Methods Fifty-three participants (36 female) were, based on symptoms, allocated to one of three groups; Control (n = 20, 16 female), Cervical (n = 13, 10 female) and Lumbar (n = 20, 10 female). Participants completed an online survey to collect general information and patient reported outcomes and were videoed over two consecutive nights to determine sleep posture using a validated classification system including intermediate sleep postures. Results Participants in the symptomatic groups also reported a lower sleep quality than the Control group. Compared to Control group participants, those in the Cervical group had more frequent posture changes (mean (SD); 18.3(6.5) versus 23.6(6.6)), spent more time in undesirable/provocative sleep postures (median IQR; 83.8(16.4,105.2) versus 185.1(118.0,251.8)) minutes and had more long periods of immobility in a provocative posture, (median IQR: 0.5(0.0,1.5) versus 2.0 (1.5,4.0)). There were no significant differences between the Control and Lumbar groups in the number of posture changes (18.3(6.5) versus 22.9(9.1)) or the time spent in provocative sleep postures (0.5(0.0,1.5) versus 1.5(1.5,3.4)) minutes. Discussion This is the first study using a validated objective measure of sleep posture to compare symptomatic and Control group participants sleeping in their home environment. In general, participants with waking spinal symptoms spent more time in provocative sleep postures, and experienced poorer sleep quality.

scholarly journals Quality of Sleep and Quality of Life during Pregnancy

2020 ◽  
Vol 38 (3) ◽  
pp. 188-193
Author(s):  
Keun Tae Kim ◽  
Hyoeun Bae ◽  
Jin Gon Bae ◽  
Yong Won Cho
Keyword(s):  
Sleep Quality ◽  
Pregnant Women ◽  
Short Form ◽  
Life Quality ◽  
Control Group ◽  
Quality Of Sleep ◽  
Third Trimester ◽  
Cross Sectional ◽  
Sf 36

Background: The prevalence of sleep disorders increases as pregnancy progresses, which affects the health of pregnant women, fetal health, and the outcomes of pregnancy. The aim of this study is to evaluate the quality of sleep and life in pregnant women in Korea.Methods: This study is a prospective cross-sectional, case-control study of pregnant women and age-matched controls. From July to September 2019, all participants completed Korean-language versions of the sleep questionnaires including Pittsburgh sleep quality index (K-PSQI), Insomnia severity index, Epworth sleepiness scale, Back’s depression inventory-2(K-BDI), STOP (Snoring, Tiredness, Observed apneas, and high blood Pressure), and short-form 36 (K-SF-36).Results: A total of 422 participants consisted of 385 pregnant women and 137 controls. Second and third trimester were 200 and 185, respectively. K-PSQI scores were higher in pregnant women compared with the controls (7.87±3.49 and 8.50±3.55 vs. 5.79±2.76, <i>p</i><0.001). Total score of K-SF-36 was lowest in third trimester (62.07±17.72) and highest in the control group(79.41±13.36). There was no statistical difference between groups in K-BDI.Conclusions: This study demonstrated worsening of sleep quality as well as life quality during pregnancy. More attention to sleep of pregnant women is needed.

scholarly journals THE DIFFERENCE IN ADDITION OF BACK MASSAGE COMBINATION IN PREGNANCY EXERCISE IN IMPROVING QUALITY OF SLEEP IN THIRD TRIMESTER PREGNANT WOMEN

2018 ◽  
Vol 6 (2) ◽  
pp. 16
Author(s):  
Mezzi Wulandari Arenza ◽  
Ni Wayan Tianing ◽  
I Putu Adiartha Griadhi
Keyword(s):  
Sleep Quality ◽  
Pregnant Women ◽  
Control Group ◽  
Quality Of Sleep ◽  
Third Trimester ◽  
The Third ◽  
The Difference ◽  
In Pregnancy ◽  
Back Massage

ABSTRACTSleep disturbance in the third trimester pregnant women is caused by discomfort, an increasingly largeabdominal condition, back pain, frequent urination, fetal movement, heartburn, cramps in the legs, tiredness, difficultygetting started, and physiological changes. Sleep disorders result in decreased quality of sleep. Pregnant women whohave poor sleep quality are at risk of longer labor, cesarean delivery, premature birth, and even infant mortality. The aimof this research is to know the difference of pregnant exercise combination and back massage in improving the sleepquality of third trimester pregnant women. This research use experiment method with quasi experiment approach andresearch design is pre and post test with control design. Sample are 18 people, divided into 2 groups, 9 people intreatment groups given pregnancy exercise and back massage and 9 people in control group is given only pregnantexercise. Intervention is given 8 times. Pittsburgh Sleep Quality Index (PSQI) questionnaire used for measured of sleepquality. The result of different test of unpaired group, in the treatment group got difference of average 4,556 and controlgroup got difference mean 2,333 with p=0,004 (p<0,05). These results showed that there was a significant differencebetween the treatment group and the control group in improving the sleep quality of the third trimester pregnant women.In conclusion, there are differences in the addition of back massage combination in pregnancy exercise intervention inimproving sleep quality of third trimester pregnant women.Keyword : Pregnancy Exercise, Back Massage, Sleep Quality, Third Trimester.

Characteristics of music to improve the quality of sleep

2019 ◽  
Vol 11 (3) ◽  
pp. 195
Author(s):  
Ami Yamasato ◽  
Mayu Kondo ◽  
Shunya Hoshino ◽  
Jun Kikuchi ◽  
Shigeki Okino ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Disorders ◽  
Music Listening ◽  
Scaling Exponent ◽  
Quality Of Sleep ◽  
Zero Crossings ◽  
Small Change ◽  
Improve Sleep Quality ◽  
Slow Tempo

Background: Several studies on the effects of music on sleep disorders have demonstrated that music listening can improve sleep quality in patients with sleep disorders. To our knowledge, nevertheless, none of them have elucidated the characteristics of such music itself.Objective: The purpose of the present study was to elucidate the characteristics of the types of music that improve sleep quality.Methods: In twenty five tracks used in the previous study, we calculated four analysis indicators: scaling exponent of the spectrum of melody's zero-crossings, redundancy of note values, density of notes and tempo.Results: The characteristics of music to improve sleep quality were slow tempo, small change of rhythm, and moderate pitch variation of melody. Based on the results derived from cluster analysis, the music pieces studied were largely categorized into 3 groups. A comparison of these 3 groups showed no significant differences with respect to the scaling exponent of the melody and the density of notes, whereas it showed significant differences with respect to the redundancy of note values and tempo.Conclusions: Our study revealed several characteristics of the types of music that improve sleep quality. The identification of these characteristics contributes to providing personalized music therapy to patients.

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