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.

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 The critical influence of nocturnal breathing complaints on the quality of sleep after stroke: the Pittsburgh Sleep Quality Index and STOP-BANG

2017 ◽  
Vol 75 (11) ◽  
pp. 785-788 ◽  
Author(s):  
Giuliano da Paz Oliveira ◽  
Eliana Regina Lottemberg Vago ◽  
Gilmar Fernandes do Prado ◽  
Fernando Morgadinho Santos Coelho
Keyword(s):  
Sleep Quality ◽  
Quality Index ◽  
Sleep Disturbances ◽  
Pittsburgh Sleep Quality Index ◽  
Poor Quality ◽  
Quality Of Sleep ◽  
Stroke Patients ◽  
Subjective Sleep Quality ◽  
Quality Sleep

ABSTRACT In stroke patients particularly, many factors, such as sleep-related respiratory disturbances, can impair sleep. Cheap and easy-to-use tools have been created to identify sleep quality and sleep disturbances in patients after stroke. This study described the scores of the sleep apnea screening questionnaire - STOP-BANG - in patients after a stroke, and correlated the findings with sleep quality measured by the Pittsburgh Sleep Quality Index (PSQI). The scores of the STOP-BANG and PSQI were 4.3 ± 1.8 and 76 ± 3.9, respectively. The STOP-BANG scores were higher in poor sleepers (4.5 ± 1.6 versus 3.5 ± 1.9; p = 0.032). Logistic regression analysis was used to identify predictors of subjective sleep quality (PSQI) and the STOP-BANG as a predictor of poor quality sleep, with a relative risk of 1.6, controlled for age and sex. This study indicated that sleep quality was largely influenced by sleep breathing problems, which were well identified by the STOP-BANG, especially in younger stroke patients.

MO705SLEEP DISTRUBANCES IN PATIENTS ON PERITONEAL DIALYSIS

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Dahmane Rihem ◽  
Chaker Hanen ◽  
Toumi Salma ◽  
Zini Olfa ◽  
Mseddi Fatma ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Peritoneal Dialysis ◽  
Sleep Quality ◽  
Sleep Disorders ◽  
Sleep Disturbances ◽  
Poor Quality ◽  
Quality Of Sleep ◽  
The Mean

Abstract Background and Aims Sleep disturbances are more common in patients with chronic renal failure and on dialysis than in the general population. They affect their mental health and quality of life. The objective of this study was to evaluate the sleep disorders of patients on peritoneal dialysis (PD). Method We report the results of a descriptive cross-sectional study in 27 patients on PD in order to assess the quality of sleep in these patients and its relation with mental health and quality of life. Sleep quality was performed using the Pittsburgh Sleep Quality Index (PSQI) to assess origin and extent of sleep disorders. Anxiety-depressive disorders were assessed using the HAD (Hospital anxiety and depression) scale. The quality of life (QOL) measurement was performed by the SF36 and KDQoL. Results We included 15 men and 12 women with an average age of 45.74 years (21–77). Eleven patients were on automated peritoneal dialysis (APD) and 16 patients on continuous ambulatory peritoneal dialysis (CAPD). The mean duration of dialysis was 45.77 ± 25 months. Poor quality of sleep was reported in 14 patients. The mean PSQI was 7.22 ± 4.87. The most affected components were sleep duration and usual sleep efficiency. Depression was objectified in 22.22% of patients and 26% of patients had anxiety. Impaired quality of sleep was associated with decreased quality of life. The components of the physical dimension of quality of life: limitation due to physical condition, physical pain were significantly lower in dialysis patients with good quality of sleep (p=0.014, p= 0.033 respectively) The mental dimension component of QOL of SF36: relationship to others, limitation due to mental condition was also lower in patients with sleep disturbances (p=0.039, p= 0.036 respectively). Symptoms and problems, as well as the effects and the burden of kidney disease were not associated with poor quality of sleep. Impaired sleep quality was also not significantly associated with depression or anxiety in our series. Conclusion Sleep disturbances are common in PD patients and are associated with decreased quality of life. Therefore, they must be taken into account in the therapeutic measures recommended in order to improve the quality of life of these patients and reduce morbidity and mortality.

scholarly journals Association between depression and sleep quality in patients with systemic lupus erythematosus: a systematic review and meta-analysis

2021 ◽  
Author(s):  
Rulan Yin ◽  
Lin Li ◽  
Lan Xu ◽  
Wenjie Sui ◽  
Mei’e Niu ◽  
...  
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Sleep Quality ◽  
Lupus Erythematosus ◽  
Sleep Disturbances ◽  
Cochrane Library ◽  
Poor Sleep ◽  
Moderate Correlation ◽  
Systemic Lupus ◽  
Poor Sleep Quality ◽  
Subjective Sleep Quality

Abstract Background Currently, there is no consistent understanding of the relationship between depression and sleep quality in patients with systemic lupus erythematosus (SLE). This study aimed to explore the correlation between depression and sleep quality in SLE patients. Methods Five English (PubMed, Web of Science, EMBASE, Cochrane Library, and CINAHL) databases were systematically searched from inception to January 12, 2021. Two authors independently screened publications and extracted data according to set inclusion and exclusion criteria. Statistical analyses were performed with STATA 16.0. Data were pooled using a random-effects model. Results A total of 9 identified studies matched the inclusion criteria, reporting on 514 patients with SLE in the analysis. A moderate correlation of depression with sleep quality was found (pooled r = 0.580 [0.473, 0.670]). Compared to good sleepers, patients with SLE and poor sleep quality had higher levels of depression (standardized mean difference =  − 1.28 [− 1.87, − 0.69]). Depression was associated with subjective sleep quality (r = 0.332 [0.009, 0.592]), sleep latency (r = 0.412 [0.101, 0.649]), sleep disturbances (r = 0.405 [0.094, 0.645]), daytime dysfunction (r = 0.503 [0.214, 0.711]), the four dimensions of Pittsburgh Sleep Quality Index (PSQI), while no significant correlation was found in the other three PSQI dimensions. Conclusion Depression had a moderate correlation with sleep quality in patients with SLE. Patients with poor sleep quality tended to have higher level of depression than that of good sleepers. Awareness of the correlation may help rheumatology physicians and nurses to assess and prevent depression and improve sleep quality in patients with SLE.

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 &gt;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.

IS POOR QUALITY SLEEP PRESENT IN OLDER ADULTS WITH WORSE SOCIAL AND HEALTH STATUS?

2021 ◽  
Vol 30 ◽  
Author(s):  
Sonia Gonçalves da Mota ◽  
Isabela Thaís Machado de Jesus ◽  
Keika Inouye ◽  
Marcela Naiara Graciani Fumagale Macedo ◽  
Tábatta Renata Pereira de Brito ◽  
...  
Keyword(s):  
Older Adults ◽  
Sleep Quality ◽  
Sleep Disorders ◽  
Geriatric Depression Scale ◽  
Depression Scale ◽  
Poor Quality ◽  
Frailty Phenotype ◽  
Cross Sectional ◽  
Significance Level ◽  
Quality Sleep

ABSTRACT Objective: to analyze the relationship among sleep and sociodemographic aspects, health, frailty, performance in activities of daily living, cognitive performance and depressive symptoms of older residents in the community. Method: a cross-sectional, quantitative study was conducted with 81 older adults residents in the area covered by a Family Health Unit in the city of São Carlos (SP), Brazil. Data collection occurred in 2019, through the application of the following instruments: questionnaire for socioeconomic and health characterization of the older adult, Pittsburgh Sleep Quality Index, Frailty Phenotype proposed by Linda Fried, Mini Mental State Examination, Geriatric Depression Scale, Katz Index and Lawton Scale. Participants were divided into comparative groups according to sleep quality scores. Fisher's exact and Pearson's χ2 were used. A significance level of 5% was adopted. Results: 50.6% of the older adults had poor quality sleep (n=41), followed by 33.3% of older adults with good quality sleep (n=27) and 16.1% had sleep disorders (n=13). There was a relationship between sleep quality and sex (p=0.008), work status (p=0.001), self-assessment of health (p=0.013), falls (p=0.034), pain (p=0.012), frailty level (p=0.026) and the slow gait criterion (p<0.001). Conclusion: there was a higher prevalence of poor quality sleep and sleep disorders in older patients, who do not work outside the home, who evaluated their health as regular or poor, who suffered falls in the last year and who complained of pain, frailty and slow gait.

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.

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