Comparison of Sleep Quality Deterioration by Subgroup of Painful Temporomandibular Disorder Based on Diagnostic Criteria for Temporomandibular Disorders

Sleep Problems ◽

Psychological Status ◽

Global Severity Index ◽

Pain Group

Abstract This study investigated whether sleep deterioration in patients with painful temporomandibular disorder depends on the origin of pain, and also analyzed which clinical disease characteristics and whether psychological distress affected sleep quality. A total of 337 consecutive patients (215 women; mean age, 33.01 ± 13.01 years) with painful temporomandibular disorder (myalgia [n = 120], temporomandibular joint arthralgia [n = 62], mixed joint–muscle temporomandibular disorder pain [n = 155]) based on the diagnostic criteria for temporomandibular disorder were enrolled. They completed a battery of standardized reports on clinical sign and symptoms, and answered questions on sleep quality, excessive daytime sleepiness, and patients’ psychological status. The mean global Pittsburgh Sleep Quality Index scores were significantly higher in the mixed temporomandibular disorder pain group (6.97 ± 3.38) and myalgia group (6.40 ± 3.22) than in the arthralgia group (5.16 ± 2.94) (p = 0.001). Poor sleepers were significantly more prevalent in the mixed temporomandibular disorder pain group (76.8%) and myalgia group (71.7%) than in the arthralgia group (54.8%) (p = 0.006). The presence of psychological distress in the myalgia group (β = 1.236, p = 0.022), global severity index of the Symptom Checklist-90-Revised in the arthralgia group (β = 1.668, p = 0.008), and presence of headache (β = 1.631, p = 0.002) and self-reported sleep problems (β = 2.849, p < 0.001) in the mixed temporomandibular disorder pain group were associated with an increase in the Pittsburgh Sleep Quality Index score. Because there is a difference in sleep quality and influencing factors according to the pain source of painful temporomandibular disorder, and the complex interplay between sleep and pain can vary, sophisticated treatment is required for patients.

Exploring the Relationship Between Sleep Quality, Sleep Hygiene, and Psychological Distress in a Sample of Canadian Varsity Athletes

Journal of Clinical Sport Psychology ◽

10.1123/jcsp.2020-0037 ◽

2021 ◽

pp. 1-14

Author(s):

Jessica Murphy ◽

Christopher Gladney ◽

Philip Sullivan

Keyword(s):

Psychological Distress ◽

Sleep Quality ◽

Quality Index ◽

Student Athletes ◽

Sleep Hygiene ◽

Hygiene Practice ◽

Quality Sleep ◽

Distress Scale ◽

The Relationship

Student athletes balance academic, social, and athletic demands, often leading to increased levels of stress and poor sleep. This study explores the relationship between sleep quality, sleep hygiene, and psychological distress in a sample of student athletes. Ninety-four student athletes completed the six-item Kessler Psychological Distress Scale (K6), Sleep Hygiene Practice Scale, and four components from the Pittsburgh Sleep Quality Index. Age, gender, and sport were also collected. The Pittsburgh Sleep Quality Index revealed that 44.7% of student athletes received ≥6.5 hr of sleep each night; 31% of athletes showed signs of severe mental illness according to the K6. Stepwise regression predicted K6 scores with the Pittsburgh Sleep Quality Index and the Sleep Hygiene Practice Scale scores as independent variables. A significant model accounting for 26% of the variation in K6 scores emerged; sleep schedule and sleep disturbances were significant predictors. Athletic staff should highlight the importance of sleep for mental health; suggestions on how to help athletes are provided.

Effects of Clinical Characteristics on Sleep Quality in Patients with Chronic Temporomandibular Disorders

10.21203/rs.3.rs-284491/v1 ◽

2021 ◽

Author(s):

Yeon-Hee Lee ◽

Q-Schick Auh ◽

Jung-Sub An ◽

Tae Kim

Keyword(s):

Sleep Apnea ◽

Sleep Quality ◽

Excessive Daytime Sleepiness ◽

Daytime Sleepiness ◽

Odds Ratio ◽

Quality Index ◽

Poor Sleep ◽

Healthy Controls

Abstract Objectives: We aimed to investigate and compare sleep quality between patients with chronic temporomandibular disorder and healthy controls, and to analyze the association of sleep quality with disease characteristics, obstructive sleep apnea risk factors, and excessive daytime sleepiness. Methods: Chronic temporomandibular disorder patients (n=503) and 180 age- and sex-matched healthy controls were included, who completed well-organized clinical report and answered questions on sleep quality (Pittsburgh Sleep Quality Index), sleep apnea risk factors (STOP-Bang questionnaire), and excessive daytime sleepiness (Epworth sleepiness scale). Results: Mean global Pittsburgh Sleep Quality Index scores were significantly higher in the patients (6.25±2.77) than in healthy controls (6.25±2.77) (p<0.001). Poor sleep was significantly more prevalent in the patient group (56.9%) than in healthy controls (22.2%) (p<0.001). Compared with healthy controls, chronic temporomandibular disorder patients had a higher likelihood of obstructive sleep apnea (STOP-Bang total score ≥3; 7.2% vs. 16.1%; p<0.01) and higher excessive daytime sleepiness (Epworth sleepiness scale score ≥10; 12.8% vs. 19.7%; p<0.05). Age (odds ratio=2.551; p<0.001), female sex (odds ratio=1.885; p=0.007), total Epworth sleepiness scale score (odds ratio=1.839; p=0.014), and headache attributed to temporomandibular disorder (odds ratio=1.519; p=0.049) were the most powerful predictors of poor sleep (global Pittsburgh Sleep Quality Index score ≥5) in chronic temporomandibular disorder patients. Discussion: Chronic temporomandibular disorder patients had sleep quality impairment. Various factors, including peripheral and central factors, affect the patient's sleep quality. Therefore, in addition to sleep quality and sleep-related problems, the underlying central mechanism for poor sleep quality should be assessed when treating chronic temporomandibular disorder patients.

Sleep, Fatigue, and Functional Health in Psychotic Patients

Schizophrenia Research and Treatment ◽

10.1155/2013/425826 ◽

2013 ◽

Vol 2013 ◽

pp. 1-7 ◽

Cited By ~ 15

Author(s):

Flavie Waters ◽

Neepa Naik ◽

Daniel Rock

Keyword(s):

Regression Analysis ◽

Sleep Quality ◽

Health Survey ◽

Quality Index ◽

Sleep Disturbances ◽

Sleep Problems ◽

Functional Health ◽

Symptom Inventory

This study sought to examine the association between sleep, fatigue, and functional health in psychotic patients. Participants included 93 psychotic inpatients (n=67with schizophrenia) who completed the Chalder Fatigue Scale (ChFS), the Fatigue Symptom Inventory (FSI), the Pittsburgh Sleep Quality Index (PSQI), and the SF36 Health Survey. Patients were classified on the basis of their performance on sleep and fatigue measures: 60% reported significant levels of fatigue and 67% significant sleep disturbances. 28.4% reported both, suggesting that fatigue and sleep dysfunctions do not necessarily cooccur. A closer examination of patterns showed that fatigue was only related to qualitative aspects of sleep and not quantifiable aspects of sleep disturbances. The results also showed that functional health was the lowest in patients with high levels of fatigue, compared to patients with sleep problems only or patients with neither symptom. A regression analysis further showed that the size of the contribution of fatigue onto functional health was twice as much as that of sleep dysfunctions. In conclusion, the results show that (i) dissatisfaction with sleep—and not sleep itself—is related to fatigue symptoms and that (ii) fatigue is particularly detrimental to functional health, regardless of the presence of sleep dysfunctions.

Sleep in post-COVID-19 recovery period and its impact on different domains of quality of life

The Egyptian Journal of Neurology Psychiatry and Neurosurgery ◽

10.1186/s41983-021-00429-7 ◽

2021 ◽

Vol 57 (1) ◽

Author(s):

Samir El Sayed ◽

Sarah Gomaa ◽

Doaa Shokry ◽

Ahmed Kabil ◽

Ahmed Eissa

Keyword(s):

Quality Of Life ◽

Sleep Quality ◽

Quality Index ◽

Sleep Problems ◽

Recovery Period ◽

Severity Index ◽

Insomnia Severity Index ◽

Insomnia Severity

Abstract Background COVID-19 pandemic became a global health problem affecting the life of millions of people all over the world. The effects of this pandemic were not only on the physical and medical aspects but also on the psychological issues including anxiety disorders, depressive manifestations, sleep problems and others. Sleep disorders were very commonly reported during the novel Coronavirus-19 pandemic either in the acute phase of COVID-19 infection or after recovery. These sleep problems might have a drastic burden on the recovered patients’ life. This study aimed to investigate the sleep in the post-Coronavirus-19 period and if has an impact on the different items of patients’ quality of life. This cross-sectional observational study investigated the sleep problems in 500 patients in the post recovery period using Insomnia Severity Index and Pittsburgh sleep quality index (PSQI), their relation to this critical period and their impact on different domains of Quality of Life which was assessed by the SF36 Health Survey. Results Socio-demographic characteristics of 500 post-Coronavirus-19 patients were collected; the insomnia severity index and Pittsburgh sleep quality index evaluated the sleep pattern. The quality of life was investigated using Short Form 36 scale. The study revealed high scores of insomnia severity index (13.01 ± 4.9), Pittsburgh sleep quality index (15.37 ± 4.43), also high scores of different items of scale of quality of life in the studied group. Conclusion Post-COVID-19 sleep disturbances were commonly reported in the recovery period, also these sleep deficits had an impact on the physical and mental aspects of quality of life, so these sleep problems must be managed properly especially in this critical pandemic era.

Factor Structure of the Pittsburgh Sleep Quality Index among Women Undergoing Infertility Treatment: A Confirmatory Factor Analysis

Journal of Sleep sciences ◽

10.18502/jss.v5i2.5598 ◽

2021 ◽

Author(s):

Mansour Shamsipour ◽

Ali Asghar Akhlaghi ◽

Samira Vesali ◽

Elham Khatooni ◽

Arezu Najafi ◽

...

Keyword(s):

Factor Analysis ◽

Sleep Quality ◽

Factor Structure ◽

Quality Index ◽

Sleep Problems ◽

Factor Model ◽

Infertility Treatment ◽

Confirmatory Factor ◽

Infertility Treatments

Background and Objective: People that undergo assisted infertility treatments experience more sleep problems. Although Pittsburgh Sleep Quality Index (PSQI) frequently has been used as a sleep quality assessment scale in different clinical and non-clinical settings, different sample characteristics may account for different structures. The current study aimed to evaluate the factor structure of PSQI among women seeking infertility treatment in Iran. Materials and Methods: Using a convenience sampling method, 157 infertile women or women whose husbands had infertility problems were included in a cross-sectional study in Royan Institute, a main referral infertility center in Tehran, Iran. The factor structure of PSQI was evaluated through exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Results: The Cronbach’s alpha coefficient for PSQI was 0.65. A two-factor model was extracted by EFA; 56% of the total variance was accounted for by this model. The results of CFA indicated that extracted model obtained acceptable fit statistics [comparative fit index (CFI) = 0.942, standardized root mean square residual (SRMR) = 0.042, root mean square error of approximation (RMSEA) = 0.128, χ2 = 19.8, degree of freedom (df) = 12, P = 0.071] compared to other original single-factor or 3-factor models. Conclusion: Our results revealed the limited usefulness of single-factor structure of PSQI. A two-factor model of Persian version of PSQI should be used to assess sleep problems among women seeking assisted infertility treatments.

Effects of Clinical Characteristics on Sleep Quality in Patients with Chronic Temporomandibular Disorders

10.21203/rs.3.rs-379028/v1 ◽

2021 ◽

Author(s):

Yeon-Hee Lee ◽

Q-Schick Auh ◽

Jung-Sub An ◽

Tae Kim

Keyword(s):

Sleep Apnea ◽

Sleep Quality ◽

Excessive Daytime Sleepiness ◽

Daytime Sleepiness ◽

Odds Ratio ◽

Quality Index ◽

Poor Sleep ◽

Healthy Controls

Abstract Objectives: This study aimed to investigate and compare sleep quality between patients with chronic temporomandibular disorder and healthy controls, and to analyze the association of sleep quality with disease characteristics, obstructive sleep apnea risk factors, and excessive daytime sleepiness. Methods: Chronic temporomandibular disorder patients (n=503) and 180 age- and sex-matched healthy controls were included, who completed well-organized clinical report and answered questions on sleep quality (Pittsburgh Sleep Quality Index), sleep apnea risk factors (STOP-Bang questionnaire), and excessive daytime sleepiness (Epworth sleepiness scale). Results: Mean global Pittsburgh Sleep Quality Index scores were significantly higher in the patients (6.25±2.77) than in healthy controls (6.25±2.77) (p<0.001). Poor sleep was significantly more prevalent in the patient group (56.9%) than in healthy controls (22.2%) (p<0.001). Compared with healthy controls, chronic temporomandibular disorder patients had a higher likelihood of obstructive sleep apnea. (STOP-Bang total score ≥3; 7.2% vs. 16.1%; p<0.01) and higher excessive daytime sleepiness (Epworth sleepiness scale score ≥10; 12.8% vs. 19.7%; p<0.05). Age (odds ratio=2.551; p<0.001), female sex (odds ratio=1.885; p=0.007), total Epworth sleepiness scale score (odds ratio=1.839; p=0.014), and headache attributed to temporomandibular disorder (odds ratio=1.519; p=0.049) were the most powerful predictors of poor sleep (global Pittsburgh Sleep Quality Index score ≥5) in chronic temporomandibular disorder patients.Conclusion: Chronic temporomandibular disorder patients had sleep quality impairment. Various factors, including peripheral and central factors, affect the patient's sleep quality. Therefore, in addition to sleep quality and sleep-related problems, the underlying central mechanism for poor sleep quality should be assessed when treating chronic temporomandibular disorder patients.

Effects of Clinical Characteristics on Sleep Quality in Patients with Chronic Temporomandibular Disorders

10.20944/preprints202106.0569.v1 ◽

2021 ◽

Author(s):

Yeon-Hee Lee ◽

Q-Schick Auh ◽

Jung-Sub An ◽

Tae Kim

Keyword(s):

Sleep Apnea ◽

Sleep Quality ◽

Excessive Daytime Sleepiness ◽

Daytime Sleepiness ◽

Odds Ratio ◽

Quality Index ◽

Poor Sleep ◽

Healthy Controls

Objectives: This study aimed to investigate and compare sleep quality between patients with chronic temporomandibular disorder and healthy controls, and to analyze the association of sleep quality with disease characteristics, obstructive sleep apnea risk factors, and excessive daytime sleepiness. Methods: Chronic temporomandibular disorder patients (n=503) and 180 age- and sex-matched healthy controls were included, who completed well-organized clinical report and answered questions on sleep quality (Pittsburgh Sleep Quality Index), sleep apnea risk factors (STOP-Bang questionnaire), and excessive daytime sleepiness (Epworth sleepiness scale). Results: Mean global Pittsburgh Sleep Quality Index scores were significantly higher in the patients (6.25±2.77) than in healthy controls (6.25±2.77) (p&lt;0.001). Poor sleep was significantly more prevalent in the patient group (56.9%) than in healthy controls (22.2%) (p&lt;0.001). Compared with healthy controls, chronic temporomandibular disorder patients had a higher likelihood of obstructive sleep apnea. (STOP-Bang total score ≥3; 7.2% vs. 16.1%; p&lt;0.01) and higher excessive daytime sleepiness (Epworth sleepiness scale score ≥10; 12.8% vs. 19.7%; p&lt;0.05). Age (odds ratio=2.551; p&lt;0.001), female sex (odds ratio=1.885; p=0.007), total Epworth sleepiness scale score (odds ratio=1.839; p=0.014), and headache attributed to temporomandibular disorder (odds ratio=1.519; p=0.049) were the most powerful predictors of poor sleep (global Pittsburgh Sleep Quality Index score ≥5) in chronic temporomandibular disorder patients. Conclusion: Chronic temporomandibular disorder patients had sleep quality impairment. Various factors, including peripheral and central factors, affect the patient's sleep quality. Therefore, in addition to sleep quality and sleep-related problems, the underlying central mechanism for poor sleep quality should be assessed when treating chronic temporomandibular disorder patients.

1045 Impact Of Pre-treatment Sleep And Menopausal Status On Sleep Quality In The 12 Months Following A Breast Cancer Diagnosis

SLEEP ◽

10.1093/sleep/zsaa056.1041 ◽

2020 ◽

Vol 43 (Supplement_1) ◽

pp. A397-A397

Author(s):

L Squires ◽

K Mahon ◽

J Rash ◽

E Powell ◽

M Seal ◽

...

Keyword(s):

Breast Cancer ◽

Sleep Quality ◽

Cancer Diagnosis ◽

Quality Index ◽

Sleep Problems ◽

Menopausal Status ◽

Pre Treatment ◽

Post Menopausal ◽

The Impact

Abstract Introduction Sleep disturbances are a prevalent and enduring problem in women who have completed treatment for breast cancer. Less is known about whether sleep during and after cancer treatment is influenced by pre-treatment sleep quality and menopausal status. The present study aims to examine the trajectory of sleep quality in the 12 months following a cancer diagnosis and assess whether trajectory is influenced by pre-treatment sleep quality and menopausal status. Methods Newly-diagnosed women (N=88) with non-metastatic BCa were recruited before beginning treatment. They completed the Pittsburgh Sleep Quality Index (PSQI) before treatment and 4, 8, and 12 months later. Women with a score ≥5 on the Pittsburgh Sleep Quality Index at treatment onset were classified as poor sleepers. Menopausal status (pre- or post-menopausal) was chart abstracted. A mixed ANOVA assessed the impact of pre-treatment sleep quality and menopausal status on sleep quality trajectory. Results The mean age of the sample was 60 years, 70% were classified as poor sleepers, and 72% were post-menopausal. There was a significant linear time by sleep quality interaction, F(1, 83)= 5.79, p =.02. Good sleepers experienced a greater initial worsening of sleep quality than poor sleepers. At 12 months, poor sleepers had returned to baseline levels whereas scores in good sleepers remained higher than baseline. The 3-way time x sleep quality x menopausal status and the 2-way time by menopausal status interactions were not significant. Conclusion Baseline sleep quality is a more powerful determinant of sleep trajectory during treatment than menopausal status. Early intervention is necessary to treat existing sleep problems and prevent the development of sleep problems in women with a history of good sleep. Support Dr. Garland is supported by a New Investigator Award and seed funding from the Beatrice Hunter Cancer Research Institute (BHCRI).

The association of self-reported sleep quality and obesity in Kuwait using the Pittsburgh Sleep Quality Index (PSQI)

10.1101/862060 ◽

2019 ◽

Author(s):

Abdulwahab Alghaith ◽

Rafaat Azim ◽

Rasheed Ahmad ◽

Fatema Al-Rashed

Keyword(s):

Sleep Quality ◽

Quality Index ◽

Sleep Problems ◽

Working Hours ◽

Cross Sectional Study ◽

Western World ◽

Sleep Habits ◽

Night Time ◽

Cross Sectional

ABSTRACTObesity is an epidemic problem facing Kuwait and other neighboring countries within the region. Lifestyle and social structure in this region differ in comparison to the western world. The hot chalinging climate favor night time activities while working hours still force a stringent early attendence. This study is specifically conducted for Kuwait’s population to investigate the link between Sleep Quality (SQ) and obesity. A cross-sectional study was conducted for a sample of 1002 participants. Structured questionnaires were used in the study as a tool of research. The participants were asked about their sleep habits, sleep problems, medications, job nature and demographics. All participants consented prior to conducting the survey. In order to measure sleep quality (SQ), the Pittsburgh Sleep Quality Index (PQSI) was used. Statistical analysis was conducted between variables and the data were compared using either two-tailed t-test or one-way ANOVA followed by Tukeys multiple comparison test. Pearson’s correlation coefficient ‘r’ was used to assess linear dependence. 59.4% of Kuwait population reported a PSQI score higher than 5, with 57.3% of the participants reporting less than 6 hours of sleep per day. The presented data shows that both sleep quality and sleep duration are considered inadequate in comparison to international sleep quality standards. None the less, we also found strong a significant association between sleep quality and its component and obesity, while other factors such as age and gender were found insignificant. These finding suggest that sleep deprivation and disturbance could be an indirect inducing factor of obesity in Kuwait. The researchers are of the view that there is a need for more study in the area of obesity and SQ in order to handle the obesity epidemic in the country.