scholarly journals 1121 Nonmotor Symptoms Affect Sleep Quality in Early-Stage Parkinson’s Disease Patients With or Without Cognitive Dysfunction

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A427-A427
Author(s):  
L Zhang ◽  
J Zhu
Keyword(s):  
Sleep Quality ◽  
Sleep Disorders ◽  
Cognitive Dysfunction ◽  
Sleep Disturbances ◽  
Rating Scale ◽  
Early Stage ◽  
Motor Symptoms ◽  
Nonmotor Symptoms ◽  
Subjective Sleep Quality ◽  
Subjective Sleep

Abstract Introduction Parkinson’s disease (PD) patients frequently present with sleep disorders. This study was designed to assess the impact of nonmotor symptoms (NMSs) on subjective sleep quality in early-stage PD patients with and without cognitive dysfunction. Methods A sample of 389 early-stage PD patients (Hoehn and Yahr score ≤2.5, duration ≤5 years) was recruited for the present study. The Non-Motor Symptoms Questionnaire (NMS-Quest) was used to screen for global NMSs. Depressive symptoms were assessed using the Hamilton Rating Scale for Depression (HAMD). PD motor symptoms were measured with the Unified PD Rating Scale (UPDRS), part III. The Montreal Cognitive Assessment (MoCA) was used to evaluate global cognitive status, and the PD Sleep Scale (PDSS) was used to quantify sleep quality. Logistic regression models were built to identify factors associated with sleep disturbances. Results In our sample, approximately one-quarter of the PD patients suffered from sleep disturbances (23.7%). Our results also confirmed the high prevalence of cognitive dysfunction in patients with PD (39.8%). In total, the patients who suffered from NMSs, such as depressive symptoms, anxiety symptoms, urinary tract symptoms and hallucinations/delusions, had poorer sleep quality. Better cognition may protect against sleep disorders. In patients with cognitive dysfunction, the NMS-Hallucinations/delusions score was the most important risk factor for sleep disorders. In patients without cognitive dysfunction, NMSs such as anxiety and cognition and medication were related to sleep disorder. Conclusion NMSs in early-stage PD are highly associated with and are determinants of subjective sleep quality. Future studies should focus on elucidating the pathophysiology of these symptoms. Support Special Funds of the Jiangsu Provincial Key Research and Development Projects (grant No. BE2018610)

Reseach of the association of suicidal behavior and sleep disorders in persons with alcohol addiction

2020 ◽  
Vol LII (2) ◽  
pp. 63-66
Author(s):  
Ilya S. Efremov ◽  
Azat R. Asadullin ◽  
Regina F. Nasyrova ◽  
Elvina A. Akhmetova ◽  
Vladimir L. Yuldashev
Keyword(s):  
Sleep Quality ◽  
Alcohol Dependence ◽  
Sleep Disorders ◽  
Suicidal Behavior ◽  
Sleep Disturbances ◽  
Rating Scale ◽  
Subjective Perception ◽  
Subjective Sleep Quality ◽  
Clinical Criteria ◽  
Suicidal Ideas

Thepurposeof the work is to determine the associations of sleep disorders and subjective perception of sleep quality with suicidal behavior and depressive manifestations in individuals with alcohol dependence. Thefollowingmethodswere used a method of clinical interviewing, a psychodiagnostic method and the method of processing statistical data. We examined 128patients with chronic alcohol dependence (100men and 28women) aged 18 to 55years, the average age was 41.668.09 (median 41). There were used the following psychodiagnostic scales: ColumbiaSuicide Severity Rating Scale (PosnerK. et al., 2007); MontgomeryAsberg Depression Rating Scale (MADRS, MontgomeryS.A., AsbergM., 1979); The Pittsburgh Sleep Quality Index (PSQI, BuysseD.J. et al., 1989); Insomnia Severity Index (ISI, MorinS. et al., 2011). Statistical methods: ShapiroWilk test, MannWhitney U-test, Spearmans Rank correlation, KruskalWallis test, Pearsons chi-squared test. Results.No correlation was found between the intensity of suicidal thoughts and sleep disturbances and sleep quality. People with suicidal ideation of insomnia have more pronounced insomnia. Associations were identified in the form of a direct correlation between sleep disorders and subjective sleep quality and the severity of depressive experiences. Conclusions.It can be assumed that if there are any suicidal ideas regardless of the severity of these, insomnia is more pronounced. It may become an early criterion for diagnosing suicidal risk in the future. Sleep disturbances are associated with depressive symptoms and occur even when the clinical criteria for depressive disorder cannot be confirmed. Findings suggest the presence of more complex relationships of the described phenomena, which is planned to be studied in further clinical studies.

scholarly journals Effect and Potential Mechanism of Electroacupuncture Add-On Treatment in Patients with Parkinson’s Disease

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Fang Wang ◽  
Li Sun ◽  
Xiao-zhe Zhang ◽  
Jun Jia ◽  
Zhuo Liu ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Sleep Disturbances ◽  
Rating Scale ◽  
Early Stage ◽  
Life Quality ◽  
Motor Symptoms ◽  
Nonmotor Symptoms ◽  
Nitric Oxide Level ◽  
Disease Rating

Objectives. To explore effectiveness and mechanisms of electroacupuncture (EA) add-on treatment in Parkinson’s disease (PD) patients.Methods. Fifty PD patients were randomly assigned to drug plus EA (D + EA) group and drug alone (D) group. Subjects in D + EA group received stimulation in points of bilateral fengfu, fengchi, hegu, and central dazhui. Participants were evaluated by scales for motor and nonmotor symptoms. Levels of neuroinflammatory factors and neurotransmitters in serum were detected.Results. EA add-on treatment remarkably reduced scores of Unified Parkinson’s Disease Rating Scale (UPDRS) III and its subitems of tremor, rigidity, and bradykinesia and conspicuously decreased UPDRS III scores in patients with bradykinesia-rigidity and mixed types and mild severity. Depression and sleep disturbances were eased, which were reflected by decreased scores of Hamilton Depression Rating Scale, Pittsburgh Sleep Quality Index, and elevated noradrenaline level. Effects of EA add-on treatment on motor symptoms and sleep disturbances were superior to drug alone treatment, markedly improving life quality of PD patients. EA add-on treatment decreased nitric oxide level in serum.Conclusions. EA add-on treatment is effective on most motor symptoms and some nonmotor symptoms and is particularly efficacious in PD patients at early stage. Antineuroinflammation may be a mechanism of EA add-on treatment.

scholarly journals Evaluation of Subjective Sleep Disturbances in Cancer Patients: A Cross-Sectional Study in a Radiotherapy Department

2021 ◽  
Vol 12 ◽  
Author(s):  
Jun Wang ◽  
Bei-Yun Zhou ◽  
Chen-Lu Lian ◽  
Ping Zhou ◽  
Hui-Juan Lin ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Sleep Quality ◽  
Sleep Disturbance ◽  
Sleep Disorders ◽  
Cancer Patients ◽  
Sleep Disturbances ◽  
Cancer Type ◽  
Multivariate Logistic Regression ◽  
Subjective Sleep ◽  
Radiotherapy Department

Background: The factors associated with sleep disturbances in cancer patients remains unclear. This study aimed to explore the prevalence of sleep disorders and predictors associated with sleep disturbance in cancer patients from a radiotherapy department.Methods: Patients with cancers were recruited before the start of radiotherapy from our institution between January 2019 and February 2020. Pittsburgh Sleep Quality Index (PSQI) scale was used to assess sleep quality. Descriptive statistics, Chi-square test, and multivariate logistic regression analysis were used to conduct statistical analysis.Results: A total of 330 eligible patients were included. Of them, 38.3% (n = 127) had the globe PSQI score >7, indicating that they suffered from sleep disorders. Patients with lung cancer (45.2%) were more likely to suffer from sleep disturbance, followed by cervical cancer (43.8%), nasopharyngeal carcinoma (41.7%), esophageal cancer (41.5%), breast cancer (37.7%), and colorectal cancer (30%). With regard to the PSQI components, the mean sleep duration was 8 h, 20.3% (n = 67) of them reported poor subjective sleep quality, 6.1% (n = 20) needed medication to improve sleep, and 53.6% (n = 177) suffered daytime dysfunction. Multivariate logistic regression models showed body mass index (BMI) ≥ 20 kg/m2 [odds ratio (OR) 0.599, 95% confidence interval (CI) 0.329–0.948, P = 0.031] and the receipt of surgery (OR 0.507, 95% CI 0.258–0.996, P = 0.048) were the significant favorable predictors for sleep disturbance, while age, gender, marital status, education level, comorbidity, metastasis status, diagnostic status, and cancer type were not significantly associated with sleep disturbance.Conclusions: Approximately 40% of the cancer patients suffer from sleep disturbance before the start of radiotherapy. Patients with BMI ≥ 20 kg/m2 and receiving surgery are less likely to develop sleep disturbance in comparison with others.

scholarly journals Prevalence and Determinants of Bad Sleep Perception among Italian Children and Adolescents

2020 ◽  
Vol 17 (24) ◽  
pp. 9363
Author(s):  
Serena Malloggi ◽  
Francesca Conte ◽  
Giorgio Gronchi ◽  
Gianluca Ficca ◽  
Fiorenza Giganti
Keyword(s):  
Sleep Quality ◽  
Depressed Mood ◽  
Behavioral Problems ◽  
Sleep Disturbances ◽  
Sleep Problems ◽  
Sleep Latency ◽  
Sleep Habits ◽  
Subjective Sleep Quality ◽  
Quality Perception ◽  
Subjective Sleep

Although sleep problems at young ages are well investigated, the prevalence of bad sleepers and the determinants of sleep quality perception remain unexplored in these populations. For this purpose, we addressed these issues in a sample of children (n = 307), preadolescents (n = 717), and adolescents (n = 406) who completed the School Sleep Habits Survey, addressing sleep quality perception, sleep habits, sleep features, daytime behavior and sleep disturbances, circadian preference, and dreaming. The sample was split in “good sleepers” and “bad sleepers”, based on the answer to the question item assessing overall subjective sleep quality. Being a bad sleeper was reported by 11.7% of the sample, with significant between-groups differences (children: 8.3%; preadolescents: 11.3%; adolescents: 15.3%; p = 0.01). At all ages, relative to good sleepers, bad sleepers showed higher eveningness, sleepiness, and depression, longer sleep latency, more frequent insufficient sleep, nocturnal awakenings, sleep–wake behavioral problems, and unpleasant dreams (all p’s ≤ 0.01). Sleep quality perception was predicted: in children, by depressed mood, eveningness, and unpleasant dreams (all p’s ≤ 0.01); in preadolescents, by sleep latency, awakening frequency, depressed mood, sufficiency of sleep, and unpleasant dreams (all p’s < 0.01); in adolescents, by awakening frequency, depressed mood, and sufficiency of sleep (all p’s < 0.001). In children, bad subjective sleep quality appears to be mainly determined by daytime psychological features, for example, depressed mood, whereas at later ages, sleep characteristics, such as frequent awakenings, add to the former determinants. This could depend on (a) the appearance, with increasing age, of objective sleep modifications and (b) a greater attention paid by adolescents to their sleep characteristics.

Sleep Quality and Cognitive Function in the Elderly Population

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.

scholarly journals Sleep quality in medical students: a comparison across the various phases of the medical course

2017 ◽  
Vol 43 (4) ◽  
pp. 285-289 ◽  
Author(s):  
Camila de Castro Corrêa ◽  
Felipe Kazan de Oliveira ◽  
Diego Scherlon Pizzamiglio ◽  
Erika Veruska Paiva Ortolan ◽  
Silke Anna Theresa Weber
Keyword(s):  
Medical Students ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Total Sample ◽  
Cross Sectional Study ◽  
Subjective Sleep Quality ◽  
Cross Sectional ◽  
Subjective Sleep ◽  
Group A ◽  
Group B

ABSTRACT Objective: To evaluate and compare subjective sleep quality in medical students across the various phases of the medical course. Methods: This was a cross-sectional study involving medical undergraduates at one medical school in the city of Botucatu, Brazil. All first- to sixth-year students were invited to complete the Pittsburgh Sleep Quality Index, which has been validated for use in Brazil. Participants were divided into three groups according to the phase of the medical course: group A (first- and second-years); group B (third- and fourth-years); and group C (fifth- and sixth-years). The results obtained for the instrument components were analyzed for the total sample and for the groups. Results: Of the 540 students invited to participate, 372 completed the instrument fully. Of those, 147 (39.5%) reported their sleep quality to be either very or fairly bad; 110 (29.5%) reported taking more than 30 min to fall asleep; 253 (68.0%) reported sleeping 6-7 h per night; 327 (87.9%) reported adequate sleep efficiency; 315 (84.6%) reported no sleep disturbances; 32 (8.6%) reported using sleeping medication; and 137 (36.9%) reported difficulty staying awake during the day at least once a week. Group comparison revealed that students in group A had worse subjective sleep quality and greater daytime dysfunction than did those in groups B and C. Conclusions: Medical students seem to be more exposed to sleep disturbance than other university students, and first- and second-years are more affected than those in other class years because they have worse subjective sleep quality. Active interventions should be implemented to improve sleep hygiene in medical students.

Study of sleep disturbances in patients with alcohol abuse or dependence

2016 ◽  
Vol 33 (S1) ◽  
pp. S378-S378
Author(s):  
M.D.C. García Mahía ◽  
Á. Fernández Quintana
Keyword(s):  
Alcohol Abuse ◽  
Sleep Quality ◽  
Sleep Disorders ◽  
Sleep Disturbances ◽  
Psychiatric Patients ◽  
Poor Quality ◽  
Health Clinic ◽  
Global Functioning ◽  
Subjective Sleep Quality ◽  
Sociodemographic Variables

IntroductionPrevious studies inform that psychiatric patients often report problems with their sleep and alcohol increase sleep disturbances.AimsTo analyze the prevalence of sleep disturbances in patients diagnosed of Alcohol Abuse or Dependence and to study clinical and sociodemographic variables associated with sleep disorders.MethodsThe sample is composed of a randomized sample of patients diagnosed of Alcohol Abuse or Dependence following DSM-IV-TR criteria and treated in a Mental Health Clinic in a period of 3 years. Medical records were reviewed. Quality and patterns of sleep were evaluated using the Pittsburg Sleep Quality Index (PSQI) with a cut-off point 5-6.ResultsA total of 102 patients were included in the study, 69% were male and 31% were female. Mean age 39.4 years (SD 9.26).Sleep disorders were found in 91.6% of patients. The most altered subscales in the overall sample were the Use of Sleeping Medication and Sleep Disturbances. Women presented worse sleep quality compared to men (P < 0.01) with higher number of altered subscales. The most altered subscales in women were Subjective Sleep Quality (P < 0.005) and Sleep Disturbances (P < 0.02).Comorbidity with other psychiatric disorders and other clinical and sociodemographic variables are analyzed.ConclusionsSleep disorders have high prevalence in patients with alcohol abuse of dependence, especially in women and patients with other psychiatric comorbidity. Poor quality sleep may have a powerful impact on the global functioning and prognosis of these groups of psychiatric patients.Disclosure of interestThe authors have not supplied their declaration of competing interest.

Objective and Subjective Rated Depression, Daytime Sleepiness and Sleep Quality in Different Sleep Disorders

2009 ◽  
Vol 24 (S1) ◽  
pp. 1-1
Author(s):  
Z. Lattova ◽  
M. Keckeis ◽  
C. Lauer ◽  
T. Pollmacher
Keyword(s):  
Depressive Symptoms ◽  
Sleep Quality ◽  
Sleep Disorders ◽  
Daytime Sleepiness ◽  
Hamilton Depression Scale ◽  
Healthy Controls ◽  
Subjective Sleep Quality ◽  
Psychiatric Interview ◽  
Subjective Sleep ◽  
Disturbed Sleep

Objective:Daytime sleepiness and disturbed sleep quality are core symptoms of sleep disorders. In addition, depressive symptoms are often reported. In the present study, we examined the possible relationships of daytime sleepiness, sleep quality and objective and subjective rated depressive symptoms in three major sleep disorders: obstructive sleep apnea (OSA; n = 25), restless legs syndrome (RLS; n = 18) and psychophysiological insomnia (n = 21), compared to healthy controls (n = 33).Method:Otherwise healthy subjects without a history of psychiatric disorder or psychotropic medication use were included. The Epworth Sleepiness Scale (ESS) for daytime sleepiness assessment and the Pittsburg Sleep Quality Inventory (PSQI) for subjective sleep quality were administered. Participants filled in the Beck Depression Inventory (BDI) as indicator of subjective rated depression and underwent a standard psychiatric interview; observer ratings comprised the Hamilton Depression Scale (HAMD) and the Hamilton Anxiety Scale (HAMA).Results:As expected daytime sleepiness was highest in OSA, whereas insomnia patients showed the highest depression and anxiety scores and the worst subjective sleep assessment. In contrast to the HAMD, the BDI was unable to differentiate among patient groups. Objective (HAMD) and subjective (BDI) rated depression correlated significantly in insomnia, RLS and healthy controls, but surprisingly not in OSA. Subjective rated depression (BDI) correlated significantly with subjective sleep quality (PSQI) in these patients. This correlation was not present in insomnia, RLS or controls. Therefore, increased BDI levels in OSA are possibly related to disturbed sleep (PSQI) rather than to depression.

scholarly journals Sleep Disorders and Psychological Profile in Oral Cancer Survivors: A Case-Control Clinical Study

Cancers ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1855
Author(s):  
Roberta Gasparro ◽  
Elena Calabria ◽  
Noemi Coppola ◽  
Gaetano Marenzi ◽  
Gilberto Sammartino ◽  
...  
Keyword(s):  
Oral Cancer ◽  
Sleep Quality ◽  
Cancer Survivors ◽  
Sleep Disorders ◽  
Rating Scales ◽  
Rating Scale ◽  
P Value ◽  
Early Assessment ◽  
Subjective Sleep Quality

Quality of sleep (QoS) and mood may impair oral cancer survivors’ wellbeing, however few evidences are currently available. Therefore, we aimed to assess the prevalence of sleep disorders, anxiety and depression among five-year oral cancer survivors (OC survivors). 50 OC survivors were compared with 50 healthy subjects matched for age and sex. The Pittsburgh Sleep Quality Index (PSQI), the Epworth Sleepiness Scale (ESS), the Hamilton Rating Scales for Depression and Anxiety (HAM-D, HAM-A), the Numeric Rating Scale (NRS), the Total Pain Rating Index (T-PRI) were administered. The global score of the PSQI, ESS, HAM-A, HAM-D, NRS, T-PRI, was statistically higher in the OC survivors than the controls (p-value: <0.001). QoS of OC survivors was significantly impaired, especially with regard to some PSQI sub-items as the subjective sleep quality, sleep latency and daytime dysfunction (p-value: 0.001, 0.029, 0.004). Moreover, poor QoS was negatively correlated with years of education (p-value: 0.042 *) and positively correlated with alcohol consumption (p-value: 0.049 *) and with the use of systemic medications (p-value: 0.044 *). Sleep disorders and mood disorders are common comorbidities in OC survivors; therefore, early assessment and management before, during and after treatment should be performed in order to improve the quality of life of OC survivors.

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