Depressive symptoms effect subjective sleep quality in Chinese patients with Parkinson’s disease

2020 ◽  
Vol 195 ◽  
pp. 105950
Author(s):  
Jun Zhu ◽  
Min Zhong ◽  
Jun Yan ◽  
Zhuang Wu ◽  
Yang Pan ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Chinese Patients ◽  
Subjective Sleep Quality ◽  
Subjective Sleep

scholarly journals The Impact of Deep Brain Stimulation on Sleep and Olfactory Function in Parkinson’s Disease

2015 ◽  
Vol 9 (1) ◽  
pp. 70-72 ◽  
Author(s):  
David P Breen ◽  
Hu Liang Low ◽  
Anjum Misbahuddin
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Deep Brain Stimulation ◽  
Sleep Quality ◽  
Brain Stimulation ◽  
Olfactory Function ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
The Impact ◽  
Deep Brain

Objective: Relatively little is known about the effects of deep brain stimulation on non-motor symptoms. The aim of this pilot study was to assess the impact of deep brain stimulation on sleep and olfactory function in Parkinson’s disease. Methods: Subjective sleep quality and olfactory testing were performed on 11 consecutive Parkinson’s disease patients (eight men and three women) undergoing bilateral subthalamic nucleus stimulation. All patients consented to undergo clinical assessments prior to the procedure, and at regular intervals afterwards. Results: Subjective sleep quality improved at six months following deep brain stimulation and this benefit was sustained in the majority of patients at later follow-up assessments. There was no significant change in olfactory function following deep brain stimulation. Conclusions: In addition to having beneficial effects on motor function and quality of life, bilateral subthalamic nucleus stimulation improves subjective sleep quality in Parkinson’s disease.

scholarly journals The influence of subjective sleep quality on the association between eveningness and depressive symptoms.

2018 ◽  
Author(s):  
Charlotte Mary Horne ◽  
Ray Norbury
Keyword(s):  
Depressive Symptoms ◽  
Sleep Quality ◽  
Mediation Analysis ◽  
Depression Scale ◽  
Well Being ◽  
Poor Sleep ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Increased Risk ◽  
Healthy Participants

Increasing evidence suggests that eveningness is associated with increased risk for depression. Eveningness, however, is also associated with poor sleep quality and the unique role of eveningness in depressive symptomatology remains to be elucidated. The goal of the current study, therefore, was to examine the inter-relationships between eveningness, subjective sleep quality and depressive symptoms in healthy participants free of current or previous depression and sleep disorder. Here, 167 healthy participants (mean age 24.16, 129/38 females/males) completed the reduced Morningness-Eveningness Questionnaire (rMEQ), the Pittsburgh Sleep Quality Index (PSQI) and the Centre for Epidemiological Studies Depression Scale (CES-D). Bootstrap mediation analysis for a simple mediation model including rMEQ, PSQI and CES-D was applied. Eveningness was associated with increased depressive symptoms and mediation analysis showed that this relationship was partly mediated by sleep quality. Our results suggest that indicators of depression observed in evening-type individuals cannot be attributed exclusively to disturbed sleep. We suggest that interventions that target both sleep quality and dysfunctionl cognitive styles would be optimal to promote well-being in evening-type individuals.

scholarly journals Subjective sleep quality and association with depression syndrome, chronic diseases and health-related physical fitness in the middle-aged and elderly

2021 ◽  
Author(s):  
Min-Fang Hsu ◽  
Kang-Yun Lee ◽  
Tsung-Ching Lin ◽  
Wen-Te Liu ◽  
Shu-Chuan Ho
Keyword(s):  
Depressive Symptoms ◽  
Physical Fitness ◽  
Sleep Quality ◽  
Chronic Diseases ◽  
Sleep Latency ◽  
Middle Aged ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Self Rated Health ◽  
Health Related

Abstract Background: As a complex phenomenon, sleep quality is difficult to objectively define and measure, and multiple factors related to sleep quality, such as age, lifestyle, physical activity, and physical fitness, feature prominently in older adult populations. The aim of the present study was to evaluate subjective sleep quality using the Pittsburgh Sleep Quality Index (PSQI) and to associate sleep quality with health-related physical fitness factors, depressive symptoms, and the number of chronic diseases in the middle-aged and elderly.Methods: We enrolled a total of 283 middle-aged and elderly participants from a rehabilitation clinic or health examination department. The PSQI was used to evaluate sleep quality. The health-related fitness assessment included anthropometric and physical fitness parameters. Depressive symptoms were measured with the Center for Epidemiologic Studies Depression Scale (CES-D) short form. Data were analyzed with SPSS 18.0, and descriptive statistics and logistic regression analysis were used for the analyses.Results: Overall, 27.9% of participants in this study demonstrated bad sleepers (with a PSQI score of >5), 10.2% of study participants frequently used sleep medication to help them fall asleep, and 6.0% reported having significant depressive symptoms (with a CES-D score of ≥10). There are two major findings: (1) depression symptoms, the number of chronic diseases, self-rated health, and arthritis were significantly associated with a poor sleep quality, and (2) the 2-min step test was associated with longer sleep latency. These results confirmed that the 2-min step was associated with a longer sleep latency among the health-related physical fitness items.Conclusions: Our study found that depressive syndrome, chronic disease numbers, a poor self-rated health status, and arthritis were the main risk factors that influenced subjective sleep quality.

scholarly journals Clinical Features and Correlates of Poor Nighttime Sleepiness in Patients with Parkinson’s Disease

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Xiaoling Qin ◽  
Xue Li ◽  
Gang Chen ◽  
Xu Chen ◽  
Mingyu Shi ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Sleep Quality ◽  
Clinical Features ◽  
Rating Scale ◽  
Group Analysis ◽  
Depression Scale ◽  
Impact Factors ◽  
Subjective Sleep Quality ◽  
Sleep Behavior

Objective. The present study investigated the clinical features and correlates of poor nighttime sleepiness (PNS) in patients with Parkinson’s disease (PD). Methods. One hundred ten patients with PD (divided into PD-PNS group and PD-nPNS group) and forty-seven controls (nPD-PNS group) were enrolled in this study. Demographic information was collected. Patients were assessed according to the unified Parkinson’s disease rating scale (UPDRS) and Hoehn–Yahr (H&Y) stage scale. Patients were also evaluated according to the Pittsburgh sleep quality index (PSQI), Epworth sleepiness scale (ESS), rapid eye movement sleep behavior disorder screening questionnaire (RBD-SQ), restless leg syndrome (RLS) diagnosis, Hamilton’s depression scale (HAMD), and Hamilton’s anxiety scale (HAMA). Results. The prevalence of PNS was 55.45% (61/110) in patients with PD. The PD-PNS group tended to have a longer duration of disease, higher UPDRS-I and UPDRS-III scores, a higher percentage of RLS patients, and higher HAMA and HAMD scores than those of the PD-nPNS group. The PD-PNS group tended to have a higher percentage of RBD and RLS patients and higher HAMA and HAMD scores than those of the nPD-PNS group. Analysis of the PSQI components and PSQI impact factors showed that the PD-PNS group had worse subjective sleep quality (χ2 = −2.267, P = 0.023), shorter sleep latency (χ2 = −2.262, P = 0.024), fewer sleep medications (χ2 = −4.170, P ≤ 0.001), worse daytime functioning (χ2 = −2.347, P = 0.019), and an even higher prevalence of increased nocturia (χ2 = 4.447, P = 0.035), nightmares (χ2 = 7.887, P = 0.005), and pain (χ2 = 9.604, P = 0.002) than those of the nPD-PNS group. Analysis also indicated that the PSQI global score positively correlated with BMI (r = 0.216, P < 0.05), H&Y stage (r = 0.223, P < 0.05), UPDRS-I (r = 0.501, P < 0.01), UPDRS-III (r = 0.425, P < 0.01), ESS (r = −0.296, P < 0.01), RBD (r = 0.227, P < 0.05), RLS (r = 0.254, P < 0.01), HAMA (r = 0.329, P < 0.01), and HAMD (r = 0.466, P < 0.01). In the final model, H&Y stage, RLS, UPDRS-III, and HAMD remained associated with the PQSI score (P ≤ 0.001, P ≤ 0.001, P = 0.049, P ≤ 0.001, respectively). Conclusions. Our data showed that PNS was common in patients with PD. H&Y stage, UPDRS-III, HAMD, and RLS were positively associated with PNS. Attention to the management of motor symptoms, RLS, and depression may be beneficial to nighttime sleep quality in patients with PD.

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 Subjective sleep quality and association with depression syndrome, chronic diseases and health-related physical fitness in the middle-aged and elderly

2020 ◽  
Author(s):  
Min-Fang Hsu ◽  
Kang-Yun Lee ◽  
Tsung-Ching Lin ◽  
Wen-Te Liu ◽  
Shu-Chuan Ho
Keyword(s):  
Depressive Symptoms ◽  
Physical Fitness ◽  
Sleep Quality ◽  
Chronic Diseases ◽  
Poor Sleep ◽  
Middle Aged ◽  
Poor Sleep Quality ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Health Related

Abstract Background: As a complex phenomenon, sleep quality is difficult to objectively define and measure, and multiple factors related to sleep quality, such as age, lifestyle, physical activity, and physical fitness, feature prominently in older adult populations. The aim of the present study was to evaluate subjective sleep quality using the Pittsburgh Sleep Quality Index (PSQI) and to associate sleep quality with health-related physical fitness factors, depressive symptoms, and the number of chronic diseases in the middle-aged and elderly.Methods: We enrolled a total of 283 middle-aged and elderly participants from a rehabilitation clinic or health examination department. The PSQI was used to evaluate sleep quality. The health-related fitness assessment included anthropometric and physical fitness parameters. Depressive symptoms were measured with the Center for Epidemiologic Studies Depression Scale (CES-D) short form. Data were analyzed with SPSS 18.0, and descriptive statistics and logistic regression analysis were used for the analyses.Results: Overall, 27.9% of participants in this study demonstrated poor sleep quality (with a PSQI score of >5), 10.2% of study participants frequently used sleep medication to help them fall asleep, and 6.0% reported having significant depressive symptoms (with a CES-D score of ≥10). There are two major findings: (1) depression symptoms, the number of chronic diseases, self-rated health, and arthritis were significantly associated with a poor sleep quality, and (2) the 2-min step test was associated with longer sleep latency. These results confirmed that the 2-min step was associated with a longer sleep latency among the health-related physical fitness items.Conclusions: Our study found that depressive syndrome, chronic disease numbers, a poor self-rated health status, and arthritis were the main risk factors that influenced subjective sleep quality.

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