scholarly journals Adaptation and validity of the Sleep Quality Scale among Chinese drivers

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0259813
Author(s):  
Shuang Chen ◽  
Long Sun ◽  
Changlu Zhang
Keyword(s):  
Sleep Quality ◽  
Traffic Accidents ◽  
Reliability And Validity ◽  
Self Report ◽  
Poor Sleep ◽  
Self Assessment ◽  
Risky Driving ◽  
Quality Scale ◽  
Falling Asleep ◽  
Valid Instrument

Purpose Poor sleep quality is closed related with driving accidents. However, due to the lack of a valid instrument for assessing drivers’ sleep quality, few studies have examined drivers’ sleep quality and its associations with driving behaviours and traffic accidents in China. The aim of this paper is to revise the Sleep Quality Scale (SQS) and assess its reliability and validity in Chinese drivers. Methods 522 Chinese drivers aged from 18 to 56 years old agreed to complete the SQS, Daytime Sleepiness Perception Scale version 4 (DSPS-4), Self-report of Risky Driving Behavior (RD-SR) and Self-assessment of the Likelihood of Being Involved in a Risky Driving Situation (RD-SA). Results The final Chinese version of the SQS contained 23 items across four factors: difficulty in getting up, difficulty in falling asleep, sleep recovery and daytime dysfunction. Second, man scored lower on the difficulty in falling asleep factor but higher on the sleep recovery factor than women. Third, low to moderate correlations were found between the SQS factors and the DSPS-4, RD-SA and RD-SR, indicating that the validity of the revised scale was satisfactory. More importantly, daytime dysfunction factor is an effective predictor of violation involvement and accident involvement. Conclusion The revised SQS has acceptable reliability and validity and can be used as a tool to measure the sleep quality of Chinese drivers.

scholarly journals Sleep quality among medical students in Moradabad, Uttar Pradesh, India

2019 ◽  
Vol 7 (1) ◽  
pp. 274
Author(s):  
Neha Goyal ◽  
Sudhir Kumar Gupta
Keyword(s):  
Medical Students ◽  
Sleep Quality ◽  
Statistical Tests ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Quality Scale ◽  
Falling Asleep ◽  
Medical Undergraduate ◽  
Quality Sleep

Background: Good quality sleep is necessary for overall health. Especially medical students are more prone to have sleep difficulties and with this context present study was done to assess the sleep quality among medical undergraduate students.Methods: This cross-sectional study was conducted among undergraduate students of a medical college in Moradabad, during April to May 2019. Assessment of sleep quality was done by means of self-administered questionnaire based on sleep quality scale. Data was analysed with help of SPSSv21 and statistical tests used were Welch t-test, Chi square test and logistic regression analysis.Results: Mean age of all 149 students was 20.99±0.91 years and mean sleep quality score of all students was 37.90±9.73. Overall 29.53% students had poor sleep quality scores. 8.7% students always have difficulty in falling asleep and 32.9% students were rarely satisfied with their sleep. Poor sleep quality has not been found to be significantly associated with age, gender, BMI and level of physical activity.Conclusions: Sleep quality vary considerably among medical students and approximately one third of medical students had poor sleep quality. Sleep quality scale used has been found reliable. 

scholarly journals Measuring Subjective Sleep Quality: A Review

2021 ◽  
Vol 18 (3) ◽  
pp. 1082
Author(s):  
Marco Fabbri ◽  
Alessia Beracci ◽  
Monica Martoni ◽  
Debora Meneo ◽  
Lorenzo Tonetti ◽  
...  
Keyword(s):  
Construct Validity ◽  
Sleep Quality ◽  
Psychometric Properties ◽  
Internal Consistency ◽  
Self Report ◽  
Measurement Properties ◽  
Poor Sleep ◽  
Daily Routine ◽  
Factorial Structure ◽  
Poor Sleep Quality

Sleep quality is an important clinical construct since it is increasingly common for people to complain about poor sleep quality and its impact on daytime functioning. Moreover, poor sleep quality can be an important symptom of many sleep and medical disorders. However, objective measures of sleep quality, such as polysomnography, are not readily available to most clinicians in their daily routine, and are expensive, time-consuming, and impractical for epidemiological and research studies., Several self-report questionnaires have, however, been developed. The present review aims to address their psychometric properties, construct validity, and factorial structure while presenting, comparing, and discussing the measurement properties of these sleep quality questionnaires. A systematic literature search, from 2008 to 2020, was performed using the electronic databases PubMed and Scopus, with predefined search terms. In total, 49 articles were analyzed from the 5734 articles found. The psychometric properties and factor structure of the following are reported: Pittsburgh Sleep Quality Index (PSQI), Athens Insomnia Scale (AIS), Insomnia Severity Index (ISI), Mini-Sleep Questionnaire (MSQ), Jenkins Sleep Scale (JSS), Leeds Sleep Evaluation Questionnaire (LSEQ), SLEEP-50 Questionnaire, and Epworth Sleepiness Scale (ESS). As the most frequently used subjective measurement of sleep quality, the PSQI reported good internal reliability and validity; however, different factorial structures were found in a variety of samples, casting doubt on the usefulness of total score in detecting poor and good sleepers. The sleep disorder scales (AIS, ISI, MSQ, JSS, LSEQ and SLEEP-50) reported good psychometric properties; nevertheless, AIS and ISI reported a variety of factorial models whereas LSEQ and SLEEP-50 appeared to be less useful for epidemiological and research settings due to the length of the questionnaires and their scoring. The MSQ and JSS seemed to be inexpensive and easy to administer, complete, and score, but further validation studies are needed. Finally, the ESS had good internal consistency and construct validity, while the main challenges were in its factorial structure, known-group difference and estimation of reliable cut-offs. Overall, the self-report questionnaires assessing sleep quality from different perspectives have good psychometric properties, with high internal consistency and test-retest reliability, as well as convergent/divergent validity with sleep, psychological, and socio-demographic variables. However, a clear definition of the factor model underlying the tools is recommended and reliable cut-off values should be indicated in order for clinicians to discriminate poor and good sleepers.

scholarly journals Wudu as Islamic Psychotherapy to Improve Sleep Quality in Young Women

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.

Sleep Epidemiology

2019 ◽  
pp. 11-46
Author(s):  
Susan Redline ◽  
Brian Redline ◽  
Peter James
Keyword(s):  
Sleep Quality ◽  
Quality Index ◽  
Self Report ◽  
Poor Sleep ◽  
Sleep Health ◽  
Sugar Sweetened Beverage ◽  
Social Jetlag ◽  
Obstructive Sleep ◽  
Quality Sleep ◽  
Different Dimensions

This chapter is a primer on sleep epidemiology—the methods of assessment on how sleep is measured (e.g., self-report [such as the Pittsburgh Sleep Quality Index and the Epworth Sleepiness Scale] vs. with use of objective tools such as actigraphy); validity of sleep measurements; the different dimensions of sleep health and disorders that are of interest (e.g., sleep duration, sleep quality, sleep fragmentation, insomnia, obstructive sleep apnea, social jetlag, snoring, narcolepsy, etc.); general sleep biology and physiology; and why sleep matters (i.e., the epidemiologic consequences of poor sleep health, e.g., connection to other health behaviors and health outcomes such as drug use; sexual risk behaviors; depression; dietary behaviors such as sugar-sweetened beverage consumption; cardiometabolic diseases like obesity, diabetes, and hypertension; and cancer outcomes such as breast cancer).

scholarly journals Sleep Quality and Self-Control: The Mediating Roles of Positive and Negative Affects

2020 ◽  
Vol 11 ◽  
Author(s):  
Jinru Liu ◽  
Lin Zhu ◽  
Conghui Liu
Keyword(s):  
Negative Affect ◽  
Sleep Quality ◽  
Positive Affect ◽  
Self Control ◽  
Self Report ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Negative Affects ◽  
The Relationship ◽  
Positive And Negative Affects

This study examined the mediating roles of both positive and negative affects in the relationship between sleep quality and self-control. A sample of 1,507 Chinese adults (37% men; mean age = 32.5 years) completed self-report questionnaires measuring sleep quality, positive and negative emotions, and self-control. Poor sleep quality was positively correlated with negative affect and negatively correlated with positive affect and self-control. Positive affect was positively correlated with self-control, while negative affect was negatively correlated with self-control. Both positive and negative affects significantly mediated the relationship between sleep quality and self-control. Improving individuals’ sleep qualities may lead to more positive emotions and less negative emotion, and these mood changes may increase resources for self-control. Regulating positive and negative affects may reduce the negative effects of poor sleep quality on self-control.

scholarly journals 342 The Association Between Benzodiazepine Use and Falls, and the Impact of Sleep Quality on this Association: Data from TILDA

2019 ◽  
Vol 48 (Supplement_3) ◽  
pp. iii17-iii65
Author(s):  
Louise Marron ◽  
Ricardo Segurado ◽  
Paul Claffey ◽  
Rose Anne Kenny ◽  
Triona McNicholas
Keyword(s):  
Older Adults ◽  
Sleep Quality ◽  
Effect Size ◽  
Community Dwelling ◽  
Public Health Issue ◽  
P Value ◽  
Poor Sleep ◽  
Daytime Somnolence ◽  
Falling Asleep ◽  
The Impact

Abstract Background Benzodiazepines (BZD) are associated with adverse effects, particularly in older adults. Previous research has shown an association between BZDs and falls and BZDs have been shown to impact sleep quality. The aim of this study is to assess the association between BZD use and falls, and the impact of sleep quality on this association, in community dwelling adults aged over 50. Methods Data from the first wave of The Irish Longitudinal Study on Ageing were used. Participants were classed as BZD users or non-users and asked if they had fallen in the last year, and whether any of these falls were unexplained. Sleep quality was assessed via self-reported trouble falling asleep, daytime somnolence, and early-rising. Logistic regression assessed for an association between BZD use and falls, and the impact of sleep quality on this association was assessed by categorising based on BZD use and each sleep quality variable. Results Of 8,175 individuals, 302 (3.69%) reported taking BZDs. BZD use was associated with falls, controlling for con-founders (OR 1.40; 1.08, 1.82; p-value 0.012). There was no significant association between BZDs and unexplained falls, controlling for con-founders (OR 1.41; 95% CI 0.95, 2.10; p-value 0.09), however a similar effect size to all falls was evident. Participants who take BZDs and report daytime somnolence (OR 1.93; 95% CI 1.12, 3.31; p-value 0.017), early-rising (OR 1.93; 95% CI 1.20, 3.11; p-value 0.007) or trouble falling asleep (OR 1.83; 95% CI 1.12, 2.97; p-value 0.015), have an increased odds of unexplained falls. Conclusion BZD use is associated with falls, with larger effect size in BZD users reporting poor sleep quality in community dwelling older adults. Appropriate prescription of and regular review of medications such as BZDs is an important public health issue.

scholarly journals Poor Sleep Quality and Compromised Visual Working Memory Capacity

2019 ◽  
Vol 25 (6) ◽  
pp. 583-594 ◽  
Author(s):  
Weizhen Xie ◽  
Anne Berry ◽  
Cindy Lustig ◽  
Patricia Deldin ◽  
Weiwei Zhang
Keyword(s):  
Working Memory ◽  
Sleep Quality ◽  
Depressed Mood ◽  
Working Memory Capacity ◽  
Community Sample ◽  
Information Storage ◽  
Self Report ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Related Factors

AbstractObjectives:Reduction in the amount of information (storage capacity) retained in working memory (WM) has been associated with sleep loss. The present study examined whether reduced WM capacity is also related to poor everyday sleep quality and, more importantly, whether the effects of sleep quality could be dissociated from the effects of depressed mood and age on WM.Methods:In two studies, WM was assessed using a short-term recall task, producing behavioral measures for both the amount of retained WM information (capacity) and how precise the retained WM representations were (precision). Self-report measures of sleep quality and depressed mood were obtained using questionnaires.Results:In a sample of college students, Study 1 found that poor sleep quality and depressed mood could independently predict reduced WM capacity, but not WM precision. Study 2 generalized these sleep- and mood-related WM capacity effects to a community sample (aged 21–77 years) and further showed that age was associated with reduced WM precision.Conclusions:Together, these findings demonstrate dissociable effects of three health-related factors (sleep, mood, and age) on WM representations and highlighte the importance of assessing different aspects of WM representations (e.g., capacity and precision) in future neuropsychological research.

scholarly journals Sleep and Olfaction among Older Adults

2017 ◽  
Vol 48 (3-4) ◽  
pp. 147-154 ◽  
Author(s):  
V. Eloesa McSorley ◽  
Jayant Pinto ◽  
L. Philip Schumm ◽  
Kristen Wroblewski ◽  
David Kern ◽  
...  
Keyword(s):  
Older Adults ◽  
Sleep Quality ◽  
Structural Equation Models ◽  
Sleep Problems ◽  
Community Dwelling ◽  
Odor Identification ◽  
Self Report ◽  
Poor Sleep ◽  
Wrist Actigraphy ◽  
Odor Sensitivity

Background: Sleep and olfaction are both critical physiological processes that tend to worsen with age. Decline in olfaction can be an early indicator of neurodegenerative diseases, whereas poor sleep quality is associated with reduced physical and mental health. Given associations with aging-related health declines, we explored whether variations in sleep were associated with olfactory function among older adults. Methods: We assessed the relationship between sleep characteristics and olfaction among 354 community-dwelling older adults. Olfaction was measured using a validated field and survey research tool. Sleep characteristics were measured using wrist actigraphy and with self-report of sleep problems. We fit structural equation models of latent constructs of olfaction based on olfactory task items and let this be a function of each sleep characteristic. Results: Actigraph sleep quality measures were associated with odor identification, but not with odor sensitivity. Longer duration sleepers had worse odor sensitivity compared to medium (58 h) sleepers, but sleep duration was not associated with odor identification. Reported sleep problems and reported usual duration were not associated with olfaction. Conclusions: Diminished sleep quality was associated with reduced capacity to identify odors. Determining whether this is a causal association will require further study and longitudinal data.

scholarly journals The Reliability and Validity of the Australian Moral Disengagement Scale

2016 ◽  
Vol 33 (3) ◽  
pp. 136-149
Author(s):  
Nicola C. Newton ◽  
Lexine A. Stapinski ◽  
Katrina E. Champion ◽  
Maree Teesson ◽  
Kay Bussey
Keyword(s):  
Factor Structure ◽  
Internal Consistency ◽  
Convergent Validity ◽  
Moral Disengagement ◽  
Cross Validation ◽  
Reliability And Validity ◽  
Principal Component ◽  
Self Report ◽  
Valid Instrument ◽  
The Individual

Background: The present study explored the reliability, validity, and factor structure of a modified version of the Moral Disengagement Scale (MDS), which comprehensively assesses proneness to disengage from different forms of conduct specific to Australian adolescents. Methods: A sample of 452 students (Mage = 12.79; SD = 1.93) completed the modified MDS and the Australian Self-Report Delinquency Scale. A multistep approach was used to evaluate the factor structure of the MDS. The sample was divided into exploratory (n = 221) and cross-validation samples (n = 231). Principal component analysis was conducted with the exploratory sample and multiple factor solutions compared to determine the optimal factor structure of the modified MDS. The final factor solution was confirmed in the cross-validation sample using confirmatory factor analysis. Internal consistency of the final scale and convergent validity with the delinquency questionnaire was also assessed. Results: Analyses resulted in a 22-item MDS for use in Australia, with four factors mapping onto the four conceptual categories of moral disengagement. The individual subscales demonstrated adequate to good internal consistency, and the total scale also demonstrated high internal consistency (α = 0.87). Convergent validity of the scale was established. Conclusions: The 22-item Australian MDS is a reliable and valid instrument for use within an Australian population.

scholarly journals The Association between Sleep Quality and Type Two Diabetes at 20 Year Follow-up in the Southall And Brent REvisited (SABRE) Cohort: a Tri-ethnic Analysis

2020 ◽  
Author(s):  
Zhen Ling Ong ◽  
Nishi Chaturvedi ◽  
Therese Tillin ◽  
Caroline Dale ◽  
Victoria Garfield
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Sleep Quality ◽  
South Asians ◽  
Diabetes Risk ◽  
Poor Sleep ◽  
Falling Asleep ◽  
Traditional Risk Factors

Objective: The risk of developing type 2 diabetes associated with poor sleep quality is comparable to that of traditional risk factors (e.g. overweight, physical inactivity). In the United Kingdom, these traditional risk factors could not explain the two to three-fold excess risks in South Asian and African Caribbean men compared to Europeans. This study investigates the (i)the association between mid-life sleep quality and later-life type 2 diabetes risk and (ii)a potential modifying effect of ethnicity. Research Design and Methods: The Southall and Brent REvisited (SABRE) cohort comprised Europeans, South Asians, and African Caribbeans (median follow-up = 19 years). Complete case analysis was performed on 2190 participants without diabetes at baseline (age= 51.7 ± 7SD). Competing risks regressions were used to estimate the hazard ratios (HRs) of developing type 2 diabetes associated with four self-reported baseline sleep exposures (difficulty falling asleep, early morning waking, waking up tired and snoring) while adjusting for confounders. Modifying effects of ethnicity were analysed by (i) testing for interactions and (ii) performing ethnicity-stratified analysis. Results: Snoring was strongly associated with increased type 2 diabetes risk but only among South Asians in a fully-adjusted model (HR 1.42, 95%CI=1.08-1.85, P=0.011). Our results revealed no elevated risk for any of the sleep exposures across all three ethnic groups. Conclusions: The association between snoring and type 2 diabetes appeared to be modified by ethnicity, with South Asians at greatest risk.

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