scholarly journals 234 Sleep quality during the coronavirus pandemic in a Brazilian family-based cohort

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A93-A94
Author(s):  
Tamara Taporoski ◽  
Felipe Beijamini ◽  
Francieli Ruiz ◽  
Sabrina Ahmed ◽  
Malcolm von Schantz ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Pittsburgh Sleep Quality Index ◽  
Subjective Sleep Quality ◽  
Full Sample ◽  
Rural Town ◽  
Heart Study ◽  
Longitudinal Comparison ◽  
Family Based ◽  
And Gender ◽  
Stratified Analysis

Abstract Introduction Early in the COVID-19 pandemic, Brazil adopted measures to minimize the spread of the virus, including quarantine orders where people only left home for essential business. This practice could negatively impact sleep by reducing exposure to daylight and physical activity. We examined subjective sleep quality in Baependi, a small rural town in Brazil during the COVID-19 quarantine order. Methods This sample is from the Baependi Heart Study, a family-based cohort of adults. Participants (n=800, 71% women, mean age 51.6±15.6 years) completed the Pittsburgh Sleep Quality Index (PSQI) early in the COVID pandemic (April-May, 2020). They were also asked about their compliance to the quarantine order (yes/no). We compared sleep between quarantined (QT) and not-quarantined individuals (NQT). Longitudinal data was obtained from a subsample of 417 individuals who also completed a pre-COVID PSQI between January, 2010 and September, 2014. Results Individuals compliant with the quarantine had worse sleep quality than non-quarantined individuals [QT PSQI= 6.1 (±3.9), NQT PSQI= 5.0 (±3.5), p<0.01]. Stratified analysis showed that differences in PSQI scores between QT and NQT was greater for women [QT = 6.4 (±4), NQT = 5.2 (±3.7), p<0.01] and older people [QT = 6.6 (±0.1), NQT = 5.5 (±3.3), p=0.02]. Associations were attenuated after adjusting for age and gender. PSQI components demonstrated a higher sleep latency for the QT group in the full sample (p=0.02), women (p<0.01) and young (<50 years, p=0.03). Sleep duration was shorter in the QT young subsample (p=0.03). QT women also reported lower sleep efficiency (p=0.01) and greater use of sleep medication than NQT women (p<0.01). In the longitudinal subsample, PSQI scores were significantly higher during COVID than pre-pandemic [COVID= 5.7 (±3.8), pre-COVID= 5 (±3.3), p<0.01]. The significant change in PSQI was only observed in the QT participants [COVID= 5.9 (±3.7), pre-COVID= 5.2 (±3.4), p<0.01] and not NQT [COVID= 5 (±3.7), pre-COVID= 4.5 (±3), p=0.12. Conclusion Individuals who quarantined during COVID-19 had worse sleep quality than individuals who did not quarantine. Longitudinal comparison demonstrated that participants who quarantined had worse sleep quality during COVID compared to before to the pandemic. Support (if any) NIH 1R01HL141881

scholarly journals Sleep quality of women with gynecological and breast cancer

2006 ◽  
Vol 14 (6) ◽  
pp. 872-878 ◽  
Author(s):  
Renata Furlani ◽  
Maria Filomena Ceolim
Keyword(s):  
Breast Cancer ◽  
Sleep Quality ◽  
Nursing Care ◽  
Pittsburgh Sleep Quality Index ◽  
Night Sleep ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Waking Up ◽  
Careful Assessment

Subjective sleep quality has been recognized as a valuable indicator of health and quality of life. This exploratory and descriptive study aimed at describing habitual sleep quality of women suffering from gynecological and breast cancer and comparing habitual versus sleep quality during hospitalization. Twenty-five women admitted in hospital for clinical treatment of cancer completed the Pittsburgh Sleep Quality Index (PSQI) within 72 hours after admission and again just before discharge. Fifty-two percent of subjects reported habitual bad sleep quality, and this proportion increased to 80% of subjects during hospital stay. Subjects indicated the following most frequent causes of night sleep disturbance: need to go to the toilet, waking up early and receiving nursing care during the night. Results point to the importance of including careful assessment of sleep quality and environment in nursing care planning for oncology patients, mainly during hospitalization.

scholarly journals Sleep deprivation and drowsiness of medical residents and medical students

2016 ◽  
Vol 43 (6) ◽  
pp. 438-444 ◽  
Author(s):  
KÁTIA SHEYLLA MALTA PURIM ◽  
ANA TEREZA BITTENCOURT GUIMARÃES ◽  
ANA CLÁUDIA KAPP TITSKI ◽  
NEIVA LEITE
Keyword(s):  
Medical Students ◽  
Sleep Quality ◽  
Sleep Deprivation ◽  
Pittsburgh Sleep Quality Index ◽  
Medical Residents ◽  
Undergraduate Medical Students ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Preventive Actions ◽  
Demographic Questionnaire

ABSTRACT Objective: to evaluate sleep quality and daytime sleepiness of residents and medical students. Methods: we applied a socio-demographic questionnaire, the Pittsburgh Sleep Quality Index (PSQI) and the Epworth Sleepiness Scale (ESS) to a population of residents and medical students. Results: hundred five residents and 101 undergraduate medical students participated. Residents presented higher mean PSQI (6.76±2.81) with poorer sleep quality when compared with undergraduates (5.90±2.39); Both had similar measures of sleepiness by ESS (p=0.280), but residents showed lower duration and lower subjective sleep quality. Conclusion: medical students and residents presented sleep deprivation, indicating the need for preventive actions in the medical area.

scholarly journals Sleep Quality and Depression in Vitiligo Patients

2020 ◽  
Vol 9 (1) ◽  
pp. 35-41
Author(s):  
Aynure Öztekin ◽  
Coşkun Öztekin
Keyword(s):  
Sleep Quality ◽  
Patient Group ◽  
Quality Index ◽  
Pittsburgh Sleep Quality Index ◽  
Healthy Control Group ◽  
Psychiatric Evaluation ◽  
Control Group ◽  
Subjective Sleep Quality ◽  
Dermatology Clinic ◽  
Healthy Control

Aim: Vitiligo is a common disorder that has not only dermatological but also psychological consequences. The aim of this study was to compare depression and sleep quality of vitiligo patients with healthy control group. Methods: In this cross-sectional case-control study, patients admitted to the Dermatology Clinic of Skin and Venereal Diseases Department of Hitit University Erol Olçok Education and Research Hospital between August 2018 and August 2019 were compared with healthy control group. The study included 67 patients and 69 control group participants who were matched for age, sex, marriage status, and education level. The subjects were asked to complete a sociodemographic data form, the Beck Depression Inventory, and the Pittsburgh Sleep Quality Index. Results: The median total Pittsburgh Sleep Quality Index score was higher in the patient group compared with the control group. The median scores for subjective sleep quality, sleep latency, and sleep disturbance were also higher in the patient group compared with the control group. A family history of vitiligo was present in 18 (26.9%) patients. The most common type was acrofacial vitiligo, which was present in 29 (43.3%) patients. Conclusions: Increased probability levels of depression and impaired sleep quality in vitiligo patients suggest that psychiatric evaluation and treatment should be provided for vitiligo patients as a part of a multidisciplinary approach in order to increase the success of the treatment. Keywords: Vitiligo, depression, sleep quality

scholarly journals Cannabis Use and Sleep: A look at the Expectations, Outcomes, and the Role of Age

2021 ◽  
Author(s):  
Evan Winiger ◽  
Leah Hitchcock ◽  
Angela Bryan ◽  
Cinnamon Bidwell
Keyword(s):  
Sleep Quality ◽  
Sleep Duration ◽  
Pittsburgh Sleep Quality Index ◽  
Positive Influence ◽  
Cannabis Use ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Age Range ◽  
The Relationship

Objectives: Estimate the associations between cannabis use with expectations of cannabis being a sleep aid, subjective sleep outcomes, and the influence of age on these relationships. Methods: In 152 moderate cannabis users (67% female, mean age = 31.45, SD = 12.96, age range = 21-70) we assessed the influence of cannabis use history and behaviors on expectations of cannabis being a sleep aid and subjective sleep outcomes via the Pittsburgh Sleep Quality Index (PSQI). We used moderation analysis to examine the role of age in the relationship between cannabis use and subjective sleep outcomes. Results: Cannabis use along with more frequent cannabis use were associated with increased expectations that cannabis use improves sleep (all β > 0.03, p < 0.04). Frequency of recent cannabis use and reported average THC or CBD concentration were largely not associated with subjective sleep outcomes. However, endorsing current cannabis use was associated with worse subjective sleep quality (β = 1.34, p = 0.02) and increased frequency of consuming edibles was associated with worse subjective sleep efficiency (β = 0.03, p = 0.04), lower sleep duration (β = 0.03, p = 0.01), and higher global PSQI scores (worse overall sleep) (β = 0.10, p = 0.01). Furthermore, age was determined to have a moderating influence on the relationship between increased concentration of CBD and both better sleep duration and sleep quality (both p < 0.03). Conclusion: Cannabis users have higher expectations of cannabis being a sleep aid, but few associations existed between cannabis use and subjective sleep outcomes with the exceptions of endorsing any cannabis use and frequency of edible use. Additionally, age may be an important moderator of the potential positive influence CBD concentration can have on sleep.

scholarly journals The effect of orthodontic treatment with fixed appliances on sleep quality in adults and adolescents in Saudi Arabia using Pittsburgh sleep quality index

2022 ◽  
Vol 11 ◽  
pp. 266-269
Author(s):  
Omar Hamad Alkadhi ◽  
Ali A. Alomran ◽  
Nawaf S. Alrafee ◽  
Faisal A. Alaresh ◽  
Marzouq S. Alqahtani ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Quality Index ◽  
Orthodontic Treatment ◽  
Pittsburgh Sleep Quality Index ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Eligibility Criteria ◽  
Subjective Sleep Quality ◽  
Fixed Appliances ◽  
Males And Females

Objectives: The aim of this study was to investigate the effect of pain caused by orthodontic fixed appliances on sleep quality of participants using the Pittsburgh Sleep Quality Index (PSQI). Materials and Methods: A previously validated Arabic version of PSQI was electronically distributed through different social media platforms and in waiting areas of orthodontic offices. Eligibility criteria included healthy adults and adolescents with orthodontic fixed appliances and with no systemic conditions that may affect sleep. The cut-off point used to determine poor sleep quality was (>5). Results: Three hundred and eighteen participants were included in the final analysis (28.9% males and 71.1% females). Both males and females with orthodontic fixed appliances had poor sleep quality with (Mean = 6.48, SD = 2.85, P = 0.000) for males, and (Mean = 7.18, SD = 2.87, P = 0.000) for females. Comparing males and females, we found that females scored higher than males in both subjective sleep quality and PSQI global score. Conclusion: Individuals undergoing orthodontic treatment with fixed appliances have poor sleep quality. Females undergoing orthodontic treatment tend to have poorer sleep quality compared to males.

scholarly journals A Comparison of Various Data Reduction Procedures in a Multiple Sclerosis Sleep Study

2018 ◽  
Vol 1 (1) ◽  
pp. 15-28
Author(s):  
Aniqa Tasnim Hossain ◽  
Daria Trojan ◽  
John Kimoff ◽  
Andrea Benedetti
Keyword(s):  
Multiple Sclerosis ◽  
Sleep Quality ◽  
Data Reduction ◽  
Pittsburgh Sleep Quality Index ◽  
Sleep Time ◽  
Objective Measures ◽  
Subjective Sleep Quality ◽  
Sleep Study ◽  
Reduction Strategies ◽  
Lasso Method

Clinical studies often deal with datasets with numerous variables. As a result of the similarities between the variables, we frequently observe the presence of multicollinearity in the data. This study aimed to apply different data reduction strategies to sleep study variables in multiple sclerosis (MS) patients. The main objective was to use various data reduction strategies to explain a subjective measure of sleep quality (Pittsburgh Sleep Quality Index: PSQI) by the objective measures of sleep quality obtained during complete in-laboratory overnight polysomnography. Overall, we found that few objective measures of sleep quality were important in explaining the subjective PSQI, based on the results of various well-accepted statistical methods. Total sleep time was found to be the most important feature of objective sleep quality for explaining subjective sleep quality among all other investigated objective sleep quality variables in most of the approaches investigated in this study. The LASSO method for estimation worked best in terms of interpretability among all the approaches considered.

Compounding Effects of Traumatic Brain Injury, Military Status, and Other Factors on Pittsburgh Sleep Quality Index: A Meta-analysis

2021 ◽  
Author(s):  
Immanuel Babu Henry Samuel ◽  
Charity B Breneman ◽  
Timothy Chun ◽  
Arghavan Hamedi ◽  
Rayelynn Murphy ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Military Service ◽  
Pittsburgh Sleep Quality Index ◽  
Meta Analysis ◽  
Poor Sleep ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Adverse Health Outcomes ◽  
Military Veteran ◽  
Military Status

ABSTRACT Introduction Traumatic brain injury (TBI) or concussion is a known risk factor for multiple adverse health outcomes, including disturbed sleep. Although prior studies show adverse effects of TBI on sleep quality, its compounding effect with other factors on sleep is unknown. This meta-analysis aimed to quantify the effects of TBI on subjective sleep quality in the context of military status and other demographic factors. Materials and Methods A programmatic search of PubMed database from inception to June 2020 was conducted to identify studies that compared subjective sleep quality measured using Pittsburgh Sleep Quality Index (PSQI) in individuals with TBI relative to a control group. The meta-analysis included group-wise standard mean difference (SMD) and 95% CI. Pooled means and SDs were obtained for TBI and non-TBI groups with and without military service, and meta-regression was conducted to test for group effects. Exploratory analysis was performed to test for the effect of TBI, non-head injury, military status, sex, and age on sleep quality across studies. Results Twenty-six articles were included, resulting in a combined total of 5,366 individuals (2,387 TBI and 2,979 controls). Overall, individuals with TBI self-reported poorer sleep quality compared to controls (SMD = 0.63, 95% CI: 0.45 to 0.80). Subgroup analysis revealed differences in the overall effect of TBI on PSQI, with a large effect observed in the civilian subgroup (SMD: 0.80, 95% CI: 0.57 to 1.03) and a medium effect in the civilian subgroup with orthopedic injuries (SMD: 0.40, 95% CI: 0.13 to 0.65) and military/veteran subgroup (SMD: 0.43, 95% CI: 0.14 to 0.71). Exploratory analysis revealed that age and history of military service significantly impacted global PSQI scores. Conclusions Poor sleep quality in TBI cohorts may be due to the influence of multiple factors. Military/veteran samples had poorer sleep quality compared to civilians even in the absence of TBI, possibly reflecting unique stressors associated with prior military experiences and the sequelae of these stressors or other physical and/or psychological traumas that combine to heightened vulnerability. These findings suggest that military service members and veterans with TBI are particularly at a higher risk of poor sleep and its associated adverse health outcomes. Additional research is needed to identify potential exposures that may further heighten vulnerability toward poorer sleep quality in those with TBI across both civilian and military/veteran populations.

scholarly journals Association of Qi-stagnation and Subjective Sleep Characteristics with Mild Cognitive Impairment Among Non-depressed Elderly in Community: A Cross-Sectional Study

2021 ◽  
Author(s):  
Zhizhen Liu ◽  
Jingsong Wu ◽  
Youze He ◽  
Jingnan Tu ◽  
Lei Cao ◽  
...  
Keyword(s):  
Older Adults ◽  
Cognitive Impairment ◽  
Sleep Quality ◽  
Sleep Disturbance ◽  
Quality Index ◽  
Pittsburgh Sleep Quality Index ◽  
Sleep Latency ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Qi Stagnation

Abstract Objective: Depression and sleep disturbance is commonly reported in patients with mild cognitive impairment (MCI). However, it remains unclear whether Qi-stagnation is still a risk factor for MCI before the older adults suffer from depression. The purpose of this study was to examine the association between Qi-stagnation and subjective sleep quality with MCI among non-depressed elderly in the Chinese community.Methods: A simple random sampling method was used to abstract research subjects from 34 community elderly day care centers in Fuzhou city based on their electronic health records from March 2019 to December 2020. Intensive face-to-face interviews were conducted using tools such as Montreal cognitive function assessment, AD8 dementia screening questionnaire, Pittsburgh Sleep Quality Index, and TCM constitution assessment scale, among others to analyze the proportion of older adults with MCI who suffer from sleep disturbance and Qi-stagnation in the community. Multi-factor logistical regression was employed to analyze the association among subjective sleep quality, TCM constitution, and MCI.Results: A total of 1,268 subjects were investigated and 1,071 cases were included in this study, among which 314 cases were of MCI patients, with a morbidity of 29.3%. The proportion of individuals having Qi-deficiency (12.4%) and Qi-stagnation (11.1%) was higher in MCI patients than in the controls with normal cognitive function (P<0.05). After adjusting for age, gender, and years of education, the probability of the old with Qi-deficiency and Qi-stagnation suffering from MCI was 1.559 times [95% confidence interval (CI): 1.009–2.407] and 1.706 times (95% CI: 1.078–2.700) higher than that of the older adults without Qi-deficiency and Qi-stagnation, respectively. In the Pittsburgh sleep quality index (PSQI) scale, individuals with MCI had poorer subjective sleep quality (Z=-3.404, P=0.001), longer sleep latency (Z=-3.398, P=0.001), shorter sleep duration (Z=-2.237, P=0.025), and aggravated daytime dysfunction (Z=-3.723, P<0.001) compared with those without MCI. The intergroup differences showed no statistical significance in the three dimensions including habitual sleep efficiency, sleep disturbance, and hypnotics between groups. The results of multi-factor logistical regression showed that sleep latency [odds ratio (OR)=1.168, 95% CI: 1.016–1.342], daytime dysfunction (OR=1.261, 95% CI: 1.087–1.463), and Qi-stagnation (OR=1.449, 95% CI: 1.022–2.055) were the risk factors for MCI; the OR for older adults with sleep disturbance and Qi-stagnation suffering from MCI was 2.581 (95% CI 1.706–3.907).Conclusion: MCI patients have a higher incidence of sleep disorders and Qi-stagnation, and may show specific changes in their daytime and nighttime sleep characteristics, with the specific manifestations such as difficulty in falling asleep, easily waking up at night/ early morning, and daytime dysfunction, among others.

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