The Epidemiology of Subjective Sleep Quality in the Citizens of Kermanshah, Iran

Background: Subjective sleep quality plays a pivotal role in health, quality of life, and efficient performance. Objectives: The present study aimed to investigate the epidemiology of subjective sleep quality in the citizens of Kermanshah, Iran. Methods: This cross-sectional, descriptive study was conducted on all the citizens of Kermanshah in 2017. In total, 450 subjects were selected via multistage random sampling. Based on the inclusion criteria, 416 were evaluated using a self-report questionnaire of demographic characteristics and Petersburg sleep quality index (PSQI; Baisi et al., 1989). Results: In 79% of the participants, the mean score of PSQI was above the cutoff point (m = 6.64). The analysis of the questionnaires indicated the highest frequency of sleep disorders to be in the components of subjective sleep quality from the perspective of the respondents, delayed sleep, sleep disorders, and daily functional disorders. In addition, 10.6% of the subjects used very high doses of sedatives, while 10.3% used relatively high doses of these pills. Minimal sleep disorders were reported as well. Poor sleep quality was less common in women, and significant correlations were observed between age and sleep latency, sleep duration, sleep medication use, and daytime dysfunction due to sleepiness. Conclusions: According to the results, subjective sleep quality was favorable in the citizens of Kermanshah. Considering the significant effects of sleep quality on performance and quality of life, attention must be paid to this aspect of health by healthcare planners and managers.

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Sleep quality in caregivers of patients with Alzheimer's disease and Parkinson's disease and its relationship to quality of life

International Psychogeriatrics ◽

10.1017/s1041610212001032 ◽

2012 ◽

Vol 24 (11) ◽

pp. 1827-1835 ◽

Cited By ~ 36

Author(s):

Chiara Cupidi ◽

Sabrina Realmuto ◽

Gianluca Lo Coco ◽

Antonio Cinturino ◽

Simona Talamanca ◽

...

Keyword(s):

Quality Of Life ◽

Alzheimer’S Disease ◽

Depressive Symptoms ◽

Sleep Quality ◽

Sleep Disturbances ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Subjective Sleep Quality ◽

Subjective Sleep

ABSTRACTBackground: Knowledge about sleep complaints of caregivers of patients with Alzheimer's disease (AD) and Parkinson's disease (PD) is limited, and we lack information about the relationship between caregivers’ sleep problems and their quality of life (QoL).Methods: We evaluated subjective sleep quality and its relationship to QoL in a group of 80 caregivers of patients with AD (ADCG, n = 40) and PD (PDCG, n = 40), and in 150 controls. Information about night-time complaints was collected using the Pittsburgh Sleep Quality Index (PSQI). QoL was measured using the McGill QoL Questionnaire.Results: Eighteen ADCG (45%), 22 PDCG (55%), and 45 (30%) controls reported poor sleep quality. Mean global PSQI score of PDCG (6.25 ± 3.9) was not significantly different from that of ADCG (5.8 ± 3.5; p = 0.67). However, both PDCG and ADCG scored significantly higher than control group (4.3 ± 3.1; p < 0.01). ADCG frequently reported difficulties falling asleep (72.5%) and disturbed sleep (100%). PDCG reported reduced subjective sleep quality (80%) and increased sleep disturbances (100%). Poor sleep quality was associated with depressive symptoms and correlated with QoL in caregivers of both groups, particularly the psychological symptoms domain.Conclusions: Among caregivers of patients with AD and PD, poor sleep quality is frequent and significantly linked to QoL and depressive symptoms. Identifying the nature of sleep disturbances not only in patients but also in their caregivers is important as appropriate treatment may lead to a better management of the needs of families coping with these patients.

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Sleep Quality and Cognitive Function in the Elderly Population

Journal of Sleep sciences ◽

10.18502/jss.v5i1.4569 ◽

2020 ◽

Author(s):

Seyed Valiollah Mousavi ◽

Elham Montazar ◽

Sajjad Rezaei ◽

Shima Poorabolghasem Hosseini

Keyword(s):

Regression Analysis ◽

Cognitive Function ◽

Sleep Quality ◽

Sleep Disorders ◽

Elderly Population ◽

Sleep Latency ◽

The Elderly ◽

Poor Sleep ◽

Subjective Sleep Quality ◽

Subjective Sleep

Background and Objective: Physiological process of sleep is considered as one of the influential factors of human’s health and mental functions, especially in the elderly. This research aimed at studying the association between sleep quality and the cognitive functions in the elderly population. Materials and Methods: A total of 200 elderly people (65 years and older) who were the members of retirees associa-tion in Mashhad, Iran, participated in this cross-sectional study. The participants were asked to answer the questionnaire of Pittsburgh Sleep Quality Index (PSQI) and Montreal Cognitive Assessment (MoCA) test. Correlation between the total scores of PSQI and MoCA was evaluated by Pearson correlation coefficient. In order to predict the cognitive func-tion based on different aspects of PSQI, multiple regression analysis by hierarchical method was used after removing confounding variables. Results: A significant association was found between PSQI and MoCA (P < 0.001, r = -0.55) suggesting that the com-ponents of use of sleeping medication (P < 0.001, r = -0.47), sleep disorders (P < 0.001, r = -0.37), sleep latency (P < 0.001, r = -0.34), subjective sleep quality (P < 0.001, r = -0.32), sleep duration (P < 0.001, r = -0.27), sleep effi-ciency (P < 0.001, r = -0.26), and daytime dysfunction (P < 0.001, r = -0.15) had significant negative correlation with cognitive function, and the four components of subjective sleep quality (P = 0.010, β = -0.15), sleep latency (P = 0.040, β = -0.13), sleep disorders (P = 0.010, β = -0.26), and use of sleeping medication (P = 0.010, β = -0.26) played a role in prediction of cognitive function in regression analysis. Conclusion: Poor sleep quality, sleep latency, insomnia, sleep breathing disorder, and use of sleeping medication play a determining role in cognitive function of the elderly. Thus, taking care of the sleep health is necessary for the elderly.

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Psychological Distress Induces Poor Sleep Quality: A Cross-Sectional Study of Pharmacy Students in Bandung City, Indonesia

The Open Public Health Journal ◽

10.2174/1874944501811010369 ◽

2018 ◽

Vol 11 (1) ◽

pp. 369-375 ◽

Cited By ~ 1

Author(s):

Sofa D. Alfian ◽

Henry Ng ◽

Dika P. Destiani ◽

Rizky Abdulah

Keyword(s):

Psychological Distress ◽

Sleep Quality ◽

Undergraduate Students ◽

Cross Sectional Study ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Cross Sectional Survey ◽

Subjective Sleep Quality ◽

Cross Sectional ◽

Subjective Sleep

Introduction: Poor subjective sleep quality in undergraduate students has not been widely studied in Bandung city, Indonesia. Poor sleep quality has been related to a number of risk factors for poor health outcomes. Objective: To analyze the association between psychological distress and subjective sleep quality. Methods: A cross sectional survey was done in one of the universities of Bandung city, Indonesia. Data were collected from 290 undergraduate students selected through consecutive sampling. Pittsburg Sleep Quality Index (PSQI) and Kessler-10 questionnaire were administered. Results: The prevalence of psychological distress was well (43.1%), mild (28.6%), moderate (20.7%), and severe (7.6%). The overall sleep quality was poor and good in 84.5% and 15.5% of the students. There was a significant association between psychological distress and poor sleep quality (p=0.006). The multivariate analysis suggested that psychological distress was a predictor of poor sleep quality (OR 1.991; 95% CI, 1.311−3.026). Conclusion: There is a need for an awareness of the college resources to help manage the stress levels of students through effective coping strategy-related study habits.

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Sleep quality during home distancing in the COVID-19 pandemic in the Western Amazon

Journal of Human Growth and Development ◽

10.36311/jhgd.v31.12606 ◽

2021 ◽

Vol 31 (3) ◽

pp. 458-464

Author(s):

Carlos Roberto Teixeira Ferreira ◽

Francisco Naildo Cardoso Leitão ◽

Maura Bianca Barbary de Deus ◽

Italla Maria Pinheiro Bezerra ◽

Rejane Rosas Barbary de Deus ◽

...

Keyword(s):

Sleep Quality ◽

Poor Sleep ◽

Quality Of Sleep ◽

Subjective Sleep Quality ◽

Cross Sectional ◽

Web Based ◽

Demographic Questionnaire ◽

Significant Difference ◽

Quality Sleep

Introduction: the COVID-19 pandemic incited unprecedented global restrictions on society’s behavior. Home detachment and isolation measures applied during the COVID-19 pandemic can result in problems with sleep quality. It is an important measure to reduce the risk of infection from the COVID-19 outbreak. Objective: to investigate the existence of a difference between the quality of sleep before and during the home distance imposed by the Covid-19 pandemic. Methods: cross-sectional web-based survey was sent using different conventional social media to collect data from the study population. The evaluated group was composed of 124 subjects, 57 of whom were male and 67 were female from the city of Rio Branco / AC. For this study, the Pittsburgh Sleep Quality Index questionnaire (PSQI-BR) and a socio-demographic questionnaire were used. The volunteers received a link along with the description and purpose of the study. Finally, data analysis was performed using SPSS 22.0 software. Results: sleep quality worsened significantly during home distance in four sleep components (subjective sleep quality, sleep latency, sleep drowsiness and overall PSQI score). During social distance, poor sleep was greater among respondents (OR = 5.68; 95% CI = 1.80–17.82; p = 0.70). Conclusion: the results indicated that there was a significant difference between the quality of sleep before and during home detachment and sleep disturbance and the subjective quality of sleep before and during the period of the outbreak of COVID-19 were the components that most worsened in the state of sleep

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Home confinement during the COVID-19: day-to-day associations of sleep quality with rumination, psychotic-like experiences and somatic symptoms

10.31234/osf.io/wceqt ◽

2020 ◽

Author(s):

Peter Simor ◽

Bertalan Polner ◽

Noemi Bathori ◽

Rebeca Sifuentes Ortega ◽

Anke Van Roy ◽

...

Keyword(s):

Sleep Quality ◽

Negative Mood ◽

Somatic Complaints ◽

Temporal Association ◽

Poor Sleep ◽

Psychological Consequences ◽

Subjective Experiences ◽

Subjective Sleep Quality ◽

Cross Sectional ◽

Subjective Sleep

Due to the COVID-19 pandemic, populations from many countries have been confined at home for extended periods of time in stressful environmental and media conditions. Cross-sectional studies already evidenced deleterious psychological consequences, with poor sleep as a risk factor for impaired mental health. However, limitations of cross-sectional assessments are response bias tendencies, and the inability to track daily fluctuations in specific subjective experiences in extended confinement conditions. In a prospective study conducted across three European countries, we queried participants (N = 166) twice a day through an online interface about their sleep quality and their negative psychological experiences for two consecutive weeks. Focus was set on between-and within-person associations of subjective sleep quality with daytime experiences such as rumination, psychotic-like experiences, and somatic complaints about the typical symptoms of the coronavirus. Results show that daily reports of country-specific COVID-19 deaths predicted increased negative mood, psychotic-like experiences and somatic complaints during the same day, and decreased subjective sleep quality the following night. Disrupted sleep was globally associated with negative psychological outcomes during the study period, and a relatively poorer night of sleep predicted increased rumination, psychotic-like experiences, and somatic complaints the following day. This temporal association was unidirectional since daytime reports of negative mental experiences were not associated with poor sleep quality on the following night. Our findings show that night-to-night changes in sleep quality predict how individuals cope the next day with daily challenges induced by home confinement

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Effects of subjective sleep quality on the quality of life in patients with chronic anorectal disorder

Turkish Journal of Surgery ◽

10.5152/turkjsurg.2018.3975 ◽

2018 ◽

Author(s):

Bulent Devrim Akcay ◽

◽

Vahit Onur Gul ◽

Serhat Ozer ◽

Duygu Akcay ◽

...

Keyword(s):

Quality Of Life ◽

Sleep Quality ◽

Subjective Sleep Quality ◽

Subjective Sleep

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Health status, resilience and quality of life of first and fourth year nursing students

Journal of Nursing Education and Practice ◽

10.5430/jnep.v10n2p1 ◽

2019 ◽

Vol 10 (2) ◽

pp. 1

Author(s):

Rodrigo Marques da Silva ◽

Ana Lucia Siqueira Costa ◽

Fernanda Carneiro Mussi ◽

Fernanda Michelle Santos e Silva ◽

Keila Cristina Félis ◽

...

Keyword(s):

Quality Of Life ◽

Nursing Education ◽

Depressive Symptoms ◽

Health Status ◽

Nursing Students ◽

Sleep Quality ◽

Depression Scale ◽

Poor Sleep ◽

Cross Sectional

Objective: To compare the health status (stress, depressive symptoms and sleep quality), the resilience and quality of life in first and fourth year nursing students.Methods: This is a cross-sectional research conducted in 2016 with 86 students enrolled in first and fourth years of the nursing degree. We applied the instrument for Assessment of Stress in Nursing Students, the Center for Epidemiologic Studies Depression Scale, Pittsburg Sleep Quality Index, Wagnild and Young’s Resilience Scale; and the WHOQOL-BREF. ANOVA (Test F) was applied for data analysis.Results and conclusions: A total of 49 first-year and 37 fourth-year students were sampled for this study. Fourth- year nursing students showed higher levels of stress, lower intensity of depressive symptoms and higher quality of life and resilience levels. The poor sleep quality was prevalent in both groups. Conclusion: although the nursing education potentially contributes for students’ sickness, the experiences lived in this period may strength the resilience skills.Conclusions: Video indexing and retrieval are accomplished by using hashing and $k$-d tree methods, while visual signatures containing color, shape and texture information are estimated for the key-frames, by using image and frequency domain techniques. Experimental results with the dataset of a multimedia information system especially developed for managing television broadcast archives demonstrate that our approach works efficiently, retrieving videos in 0.16 seconds on average and achieving recall, precision and F1 measure values, as high as 0.76, 0.97 and 0.86 respectively.

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The prevalence of poor sleep quality and its associated factors in patients with interstitial lung disease: a cross-sectional analysis

ERJ Open Research ◽

10.1183/23120541.00062-2019 ◽

2019 ◽

Vol 5 (3) ◽

pp. 00062-2019 ◽

Cited By ~ 3

Author(s):

Jin-Gun Cho ◽

Alan Teoh ◽

Mary Roberts ◽

John Wheatley

Keyword(s):

Quality Of Life ◽

Logistic Regression ◽

Interstitial Lung Disease ◽

Sleep Quality ◽

Lung Disease ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Cross Sectional ◽

Sectional Analysis

BackgroundMany patients with interstitial lung disease (ILD) experience poor sleep quality, which may contribute to decreased quality of life. Sleep disordered breathing is commonly associated with ILD but there is less information on other factors that may contribute to poor sleep quality.MethodsWe conducted a cross-sectional analysis of 101 patients with a diagnosis of ILD at a pulmonary rehabilitation assessment clinic. We assessed the prevalence of poor sleep quality using the Pittsburgh Sleep Quality Index (PSQI) and performed multivariable logistic regression analysis to determine factors independently associated with poor sleep quality.ResultsMedian forced expiratory volume in 1 s was 64% predicted (interquartile range (IQR) 50–77%) and vital capacity was 62% predicted (IQR 48–78%). 67 (66%) out of 101 patients reported poor sleep quality. The median PSQI was 8 units (IQR 4–11 units). There were no significant differences in physical or physiological parameters including age, sex distribution, body mass index or spirometry values between subjects with good sleep quality and those with poor sleep quality (all p>0.1). Multivariable logistic regression showed that depression (p=0.003) and Epworth Sleepiness Scale (p=0.03) were independently associated with poor sleep quality.ConclusionPoor sleep quality is common in patients with ILD and is independently associated with increasing symptoms of depression and sleepiness. Routine assessment of sleep quality should be undertaken and interventions targeting depression and coexisting sleep disorders may be required in symptomatic patients to determine if sleep quality and ultimately, health-related quality of life improves as a result.

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