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

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<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.

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0260582
Author(s):  
Doug Cary ◽  
Angela Jacques ◽  
Kathy Briffa

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.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Theerakorn Theerakittikul ◽  
Jindarat Chaiard ◽  
Jirawan Deeluea

PurposeThe purpose is to assess the effectiveness of continuous positive airway pressure (CPAP) treatment on sleep quality, daytime sleepiness and daytime functioning among Thai obstructive sleep apnea (OSA) patients.Design/methodology/approachA repeated measures clinical intervention design was implemented. Participants were 50 patients first time diagnosed with OSA and prescribed CPAP treatment. The intervention composed of CPAP health education, and follow-up evaluation. Data on CPAP adherence were downloaded from Smartcards of the CPAP device. The Thai PSQI, ESS and FSAQ-10 questionnaires were administered at baseline, 1-month, and 3-months. Descriptive statistics and repeated measure analysis with multilevel mixed-effects modeling approach were used.FindingsThirty-nine participants completed the study. Approximately 53% (n = 25) and 71.1% (n = 27) of the patients adhered to CPAP treatment by the end of the 1- and 3-months, respectively. After controlling for patients’ adherence, at 1-month follow-up, the intervention improved quality of sleep (β = −2.65, 95% CI = −1.60, −4.13), daytime functioning (β = 3.24, 95% CI = 1.87, 4.61) and decreased daytime sleepiness (β = −3.29, 95% CI = −1.85, −4.73). At 3 months, the intervention still improved quality of sleep (β = −3.53, 95% CI = −2.05, −5.01), and daytime functioning (β = 4.34, 95% CI = 2.76, 5.92), and decreased daytime sleepiness (β = −4.82, 95% CI = −3.16, −6.49).Originality/valueAdherence to CPAP treatment is effective in improving sleep quality, daytime functioning and reducing daytime sleepiness. Patient-oriented strategies for enhancing CPAP adherence should be developed and implemented as a standard care in sleep clinics.


2014 ◽  
Vol 2014 ◽  
pp. 1-4 ◽  
Author(s):  
Mohammad Ali Zohal ◽  
Zohreh Yazdi ◽  
Amir Mohammad Kazemifar ◽  
Parisa Mahjoob ◽  
Masomeh Ziaeeha

Present study was designed to obtain association between sleep apnea with sleep quality and quality of life in COPD patients. This cross-sectional descriptive study was conducted on 139 patients with COPD in a chest clinic of a university hospital. All patients were evaluated by pulmonary function test for determination of severity of their disease. Also, Berlin questionnaire, Epworth sleepiness scale, Pittsburgh Sleep Quality Index, and St. George Respiratory questionnaires (SGRQ) were employed for assessment of patients. Analysis of data showed that quality of sleep was significantly correlated with quality of life (P<0.001). About half of the patients were at high risk for sleep apnea. The patients were divided into two groups according to the result of Berlin questionnaire. Significant differences were found between the groups for total score and each of three subscores of SGRQ suggesting worse quality of life in overlap syndrome (P<0.001). Also, patients with overlap syndrome had worse quality of sleep compared to patients without it (8.1±1.7versus6.2±2.3;P<0.001). Stepwise multiple regression analysis showed that severity of COPD, coexisting obstructive sleep apnea, and sleep quality accounted for the SGRQ significantly (r2(coefficient of determination) = 0.08, 0.21, and 0.18, resp.). It is recommended that patient with COPD be evaluated for sleep apnea and sleep disorders during routine examinations and followups.


Author(s):  
Mahrokh Imanian ◽  
Mahsa Imanian ◽  
Mahdi Karimyar

Background: Breast cancer survivors make up a growing population facing treatment that poses long – standing adverse effects including chemotherapy- related sleep disorders and fatigue. There is limited knowledge of patients' lived experiences of chemotherapy- induced sleep disorders and fatigue. The aim of this study was to explore sleep quality and fatigue among breast cancer patients undergoing chemotherapy. Materials and Methods: One hundred fifteen patients were included in this census-based cross-sectional study. Data were collected through the Pittsburgh Sleep Quality Index and Brief Fatigue Inventory four days after the chemotherapy session. Statistical analysis was carried out using SPSS software version 13 and P<0.05 was considered statistically significant in all tests. Results: The mean hours of sleep were 5.6±1.83 in the range of 2 to 10 hours. The mean score of fatigue of participants was 5.59±1.67. Based on the cutting point, 57.4%, 20.9%, and 21.7% of participants had a moderate (4-6.9), mild (0.1-3.9), and severe (7-9.9) level of fatigue, respectively. The mean score of sleep quality among the participants was equal to 14.06±3.06, with a maximum and minimum of 7 and 21. The results of Spearman correlation coefficient showed that there is a significant relationship between fatigue and quality of sleep )0.210). Conclusion: Although the study findings revealed that patients with breast cancer undergoing chemotherapy experience different degrees of sleep disorders and fatigue, there is a need for more detailed studies to improve the quality of sleep and reduce fatigue in these patients due to the little attention paid to this issue in the medical field.


2019 ◽  
Vol 81 (3-4) ◽  
pp. 190-196
Author(s):  
Byung Joon Kim ◽  
Kang Min Park

Background: Both obstructive sleep apnea (OSA) and obesity are associated with poor sleep quality. However, there have been no studies investigating sleep quality in OSA patients with obesity. The aims of this study were to (1) evaluate the sleep quality in OSA patients with obesity and (2) identify the parameters most related to sleep quality in OSA patients with obesity. Methods: Of the patients with polysomnography (PSG), OSA patients with obesity (body mass index [BMI] ≥25) were enrolled and then divided into 2 groups based on the Pittsburg Sleep Questionnaire Index (PSQI): patients with good sleep quality (PSQI ≤5, good sleepers) and those with poor sleep quality (PSQI >5, poor sleepers). In addition, we enrolled OSA patients without obesity as a disease control group. Results: Eighty-two OSA patients with obesity met the inclusion criteria (28 were good sleepers, whereas 54 were poor sleepers). We found that the BMI of the poor sleepers was significantly higher than that of the good sleepers, whereas the N-stage sleep ratio of good sleepers was higher than that of poor sleepers. Logistic ­regression analysis also showed that a high BMI and low ­N-stage sleep ratio were independently associated with poor sleep quality. In addition, BMI and N-stage sleep ratio were significantly correlated with PSQI. However, in 56 OSA patients (n = 56) without obesity, there were no differences of demographic/clinical characteristics and PSG parameters between the good (n = 18) and poor sleepers (n = 38). Discussions: About two-thirds of OSA patients with obesity show poor sleep quality. The sleep quality of these patients was more affected by the severity of obesity, but not the severity of OSA. Thus, we recommend weight loss in OSA patients with obesity to improve sleep quality as well as the severity of OSA.


2020 ◽  
Vol 6 ◽  
pp. 1
Author(s):  
Kavitha A Kumar ◽  
Wan AMBW Othman ◽  
Ashok K Jeppu ◽  
◽  
◽  
...  

Malaysia has high prevalence of obesity in young adults. Obesity leads to health problems such as obstructive sleep apnea (OSA). It is a condition where nocturnal breathing cessation occurs during sleep. Thus, the quantity and quality of sleep is affected. Epworth Sleepiness Score (ESS) is a standardized tool to determine the quality of sleep. The aim of this study was to find the relationship between students’ sleep quality using this questionnaire and their anthropometric measurements. This study adopted a cross-sectional study design, with the convenience sampling technique applied on students of a private university in Malaysia. The participants answered the ESS questionnaire. Their height, weight, neck circumference, and abdominal circumference were obtained and the body mass index (BMI) was calculated. This study was conducted on 200 students with a mean age of 21.55 years. Their average BMI was 23.24 ± 6.1. The mean duration of sleep in the study population was 6.3 ± 1.4 SD hours. In the study population, the mean score for ESS was 10.32. A negative correlation between ESS scores and the BMI was noted. Pearson correlation showed —0.026 with a significance of 0.712. ESS scores showed that 17.9% of the study population had high risk of developing OSA. This study shows that as the BMI increases, the quality of sleep decreases, although it is not statistically significant.


2019 ◽  
Vol 8 (3) ◽  
pp. 137-142 ◽  
Author(s):  
Hassan Talebi Ghadicolaei ◽  
Mohammad Ali Heydary Gorji ◽  
Babak Bagheri ◽  
Jamshid Yazdani charati ◽  
Zoya Hadinejad

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.


SLEEP ◽  
2021 ◽  
Author(s):  
Elham Emami ◽  
Gilles Lavigne ◽  
Jocelyne S Feine ◽  
Igor Karp ◽  
Pierre H Rompré ◽  
...  

Abstract Study Objectives This study aims to assess whether the nocturnal wear of dentures has an effect on the quality of sleep and oral-health-related quality of life of the edentulous elderly with untreated sleep apnea. Methods A single-blind randomized cross-over design with two sequences and two periods was used. Participants (n = 77) were randomly assigned either to sequence 1 (nocturnal wear followed by nocturnal nonwear of the denture for 30–30 days) or sequence 2 (nocturnal nonwear followed by nocturnal wear of denture for 30–30 days). The primary sleep outcome was the quality of sleep, assessed through sleep fragmentation measured as Apnea–Hypopnea Index (AHI) and respiratory arousal from portable polysomnography. Secondary outcomes were daytime sleepiness, sleep quality (Pittsburgh Sleep Quality Index, PSQI) and oral-health-related quality of life measured by validated questionnaires. Results The mean paired difference in AHI scores for the period of wearing versus not wearing dentures at night was small 1.0 event per hour (p = 0.50; 95% confidence interval (CI) = −2.0 to 4.1). The mean respiratory arousal index was higher when wearing dentures at night than when not wearing dentures at night, with a mean paired difference of 2.3 events per hour (p = 0.05; 95% CI = 0.0 to 4.6). No difference in sleepiness and PSQI were noted. Wearing dentures at night resulted in a statistically significantly higher mean score of psychological discomfort when compared to not wearing dentures at night. Conclusions The results provide some support to usual practice guidelines to remove dentures at night in edentulous elders suffering from sleep apnea. Clinical trial registration NCT01868295.


2019 ◽  
Vol 5 (1) ◽  
pp. e000673
Author(s):  
Pavol Surda ◽  
Matus Putala ◽  
Pavel Siarnik ◽  
Abigail Walker ◽  
Katherine De Rome ◽  
...  

ObjectivesLimited data suggest that swimmers might be affected by poor quality of sleep significantly. The aim was to explore the prevalence of sleep disturbances in swimmers and possible link between rhinitis and sleep disturbance.MethodsStudy 1 was an observational case–control, questionnaire-based study involving 157 elite and non-elite swimmers, 36 non-swimming athletes and 50 controls. In study 2, we measured sleep quality and duration using actigraphy in 20 elite swimmers. We also looked for presence of sleep-disordered breathing using overnight pulse oximetry monitor.ResultsIn study 1, we observed a significant difference in prevalence of excessive daytime sleepiness between groups of elite swimmers and controls. Pittsburgh Sleep Quality Index (PSQI) scores do not suggest that quality of sleep in group of swimmers is impaired. In study 2, we found that prevalence of obstructive sleep apnoea (OSA) in elite swimmers defined as oxygen desaturation index ≥5 was 30%. Analysis of actigraphy data revealed that on nights prior to training days, ‘going to’ bed time was significantly earlier and total sleep time was significantly reduced.ConclusionSwimmers and non-swimming athletes suffer significantly more with excessive daytime sleepiness than healthy controls. In elite swimmers, this is likely linked to high prevalence of OSA. PSQI scores do not suggest that quality of sleep in group of swimmers is impaired, but actigraphy shows great variations between sleep pattern preceding training and rest day. This seems to be associated with early-morning sessions which can be a disruptive element of weekly sleep patterns.


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