scholarly journals Sleeping It Off: Sleep Quality Moderates the Association Between Family Bereavement and Heart Rate Variability

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 113-113
Author(s):  
Hye Won Chai ◽  
Dylan Jester ◽  
Soomi Lee ◽  
Susanna Joo ◽  
Debra Umberson ◽  
...  
Keyword(s):  
United States ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Sleep Quality ◽  
Family Member ◽  
The United States ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Strong Link ◽  
Good Sleep

Abstract While previous studies evince a strong link between family bereavement and worse cardiovascular functioning, factors that may influence the association remain unexplored. This study examined the relation between experiencing the death of an immediate family member and heart rate variability (HRV) and whether the associations differed by sleep quality. The sample included respondents from the Midlife in the United States (MIDUS) Biomarker Project who reported losing an immediate family member – parents, spouse, siblings, or children – within a year before project (n = 94) and those who did not experience any deaths (n = 872). Results showed that the death of a family member was associated with worse HRV only among those who reported having a poor sleep quality and not for those with good sleep quality. These findings suggest that poor sleep quality may indicate psychophysiological vulnerability for those who experienced the death of an immediate family member.

scholarly journals Effect of Sleep Quality on Hemodynamic Response to Exercise and Heart Rate Recovery in Apparently Healthy Individuals

2014 ◽  
Vol 37 (6) ◽  
pp. 352 ◽  
Author(s):  
Murat Yuksel ◽  
Abdulkadir Yildiz ◽  
Melike Demir ◽  
Mehmet Z Bilik ◽  
Necdet Ozaydogdu ◽  
...  
Keyword(s):  
Heart Rate ◽  
Sleep Quality ◽  
Heart Rate Recovery ◽  
Poor Sleep ◽  
Healthy Individuals ◽  
Poor Sleep Quality ◽  
Response To Exercise ◽  
Good Sleep ◽  
Apparently Healthy

Purpose: Poor sleep quality has an unfavorable impact on autonomic nervous system activity, especially that of the cardiovascular (CV) system. The heart rate (HR) and blood pressure (BP) at rest and during exercise, along with the heart rate recovery (HRR), were examined in poor sleepers and compared with individuals with good sleep quality. Methods: A total of 113 healthy individuals were enrolled to the study. All participants performed treadmill stress testing. Sleep quality of participants was assessed by using the Pittsburgh Sleep Quality Index (PSQI) questionnaire: 48 subjects were categorized as ‘poor sleepers’ (PSQI score > 6 points), and the rest were grouped as ‘good sleepers’. Results: The poor sleepers showed higher resting HR (p

scholarly journals Relationship between Resting State Heart Rate Variability and Sleep Quality in Older Adults with Mild Cognitive Impairment

2021 ◽  
Vol 18 (24) ◽  
pp. 13321
Author(s):  
Bernhard Grässler ◽  
Milos Dordevic ◽  
Fabian Herold ◽  
Sabine Darius ◽  
Corinna Langhans ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Sleep Quality ◽  
Neurodegenerative Diseases ◽  
Resting State ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Present Sample

Sleep problems can be caused by psychological stress but are also related to cardiovascular and neurodegenerative diseases. Improving lifestyle behaviors, such as good sleep hygiene, can help to counteract the negative effects of neurodegenerative diseases and to improve quality of life. The purpose of this cross-sectional study was to investigate the relationship between subjectively reported measures of sleep quality (via Pittsburgh Sleep Quality Index (PSQI)) and objective measures of cardiac autonomic control (via resting state heart rate variability (HRV)) among individuals with mild cognitive impairment (MCI). The PSQI and resting state HRV data of 42 MCI participants (69.0 ± 5.5; 56–80 years) were analyzed. Nineteen of the participants reported poor sleep quality (PSQI score > 5). Good sleepers showed higher resting heart rate than bad sleepers (p = 0.037; ES = 0.670). Correlation analysis showed a significant correlation between the parameter HF nu and sleep efficiency, contrasting the expected positive association between reduced HRV and poor sleep quality in healthy and individuals with specific diseases. Otherwise, there were no significances, indicating that measures of subjective sleep quality and resting HRV were not related in the present sample of MCI participants. Further research is needed to better understand the complex relationship between HRV and lifestyle factors (e.g., sleep) in MCI.

Relationshp Between Sleep Quality, Mood State, and Performance of Elite Air-Rifle Shooters

2021 ◽  
Author(s):  
Jiaojiao Lu ◽  
Yan An ◽  
Jun Qiu
Keyword(s):  
Sleep Quality ◽  
Mood State ◽  
Sleep Latency ◽  
Sleep Time ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Somatic Anxiety ◽  
And Performance ◽  
Air Rifle ◽  
Good Sleep

Abstract Background To evaluate the impact of pre-competition sleep quality on the mood and performance of elite air-rifle shooters. Methods This study included 23 elite air-rifle shooters who participated in an air-rifle shooting-competition from April 2019 to October 2019. Sleep time, sleep efficiency, sleep latency, and wake-up time after sleep onset were monitored using actigraphy. The Pittsburgh sleep quality index and Profile of Mood State were used to assess sleep quality. Competitive State Anxiety Inventory-2 was used to evaluate mood state. Results The average time to fall asleep, sleep time, sleep efficiency, and subjective sleep quality were 20.6 ± 14.9 min, 7.0 ± 0.8 h, 85.9 ± 5.3%, and 5.2 ± 2.2, respectively. Sleep quality decreased as the competition progressed. Pre-competition sleep time in female athletes was significantly higher than that on the competition day (P = 0.05). Pre-competition sleep latency was significantly longer in women than in men (P = 0.021). During training and pre-competition, the tension, fatigue, depression, and emotional disturbance were significantly lower in athletes with good sleep quality than in athletes with poor sleep quality. Athletes with good sleep quality had significantly more energy. The PSQI total score was positively correlated with positive emotion, TMD, cognitive anxiety, and somatic anxiety POMS scores, and negatively correlated with energy and self-confidence scores. Race scores and depression and somatic anxiety scores were negatively correlated. Conclusion Poor sleep quality negatively impacted the mood of athletes; however, sleep indices and competition performance of athletes during competitions were not significantly correlated.

scholarly journals Cognitive impairment as a function of sleep quality and gender

2019 ◽  
pp. 4
Author(s):  
R. Akhil ◽  
B.P. Nair
Keyword(s):  
Working Memory ◽  
Reaction Time ◽  
Sleep Quality ◽  
Sustained Attention ◽  
Divided Attention ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Vigilance Test ◽  
And Gender ◽  
Good Sleep

Background: The study aims at finding whether there is any significant difference between sub-groups classified on the basis of sleep quality (good sleep quality and poor sleep quality) and gender in the performance of various cognitive functioning tests like Visual N Back Test (N Back 1and N Back 2 test) for working memory, Triad test for divided attention, Digit Vigilance Test for sustained attention and Reaction time test (simple reaction time and choice reaction time). Materials and methods: The sample consisted of 30 participants, both males (N=13) and females (N=17) in the age range between 18 to 30 years, randomly drawn from Thiruvananthapuram and Kollam districts of Kerala. The participants of the study are screened and categorized into two groups of 15 members each on the basis of the scores obtained in the Pittsburgh Sleep Quality Index (PSQI). t-test and two-way ANOVA were performed to test the significance of the hypotheses. Results: The results showed that the participants with poor sleep quality significantly differed from those with good sleep quality and committed more number of errors in the triad test of divided attention and took more time and committed more errors in the completion of the digit vigilance test of sustained attention. Conclusion: A gender advantage favoring females was seen on the test of working memory, test for sustained attention and the test for choice reaction time. An interaction between sleep quality and gender was noticed only on the test of divided attention. It was seen that males with poor sleep quality are more impaired in divided attention tasks than females with poor sleep quality.

scholarly journals Poor Sleep Quality Is Associated with Dawn Phenomenon and Impaired Circadian Clock Gene Expression in Subjects with Type 2 Diabetes Mellitus

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Yuxin Huang ◽  
Haidong Wang ◽  
Yuan Li ◽  
Xiaoming Tao ◽  
Jiao Sun
Keyword(s):  
Sleep Quality ◽  
Circadian Clock ◽  
Clock Gene ◽  
Clock Genes ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Clock Gene Expression ◽  
Dawn Phenomenon ◽  
Circadian Clock Genes ◽  
Good Sleep

Aims. We investigated whether poor sleep quality is associated with both dawn phenomenon and impaired circadian clock gene expression in subjects with diabetes. Methods. 81 subjects with diabetes on continuous glucose monitoring were divided into two groups according to the Pittsburgh Sleep Quality Index. The magnitude of dawn phenomenon was quantified by its increment from nocturnal nadir to prebreakfast. Peripheral leucocytes were sampled from 81 subjects with diabetes and 28 normal controls at 09:00. Transcript levels of circadian clock genes (BMAL1, PER1, PER2, and PER3) were determined by real-time quantitative polymerase chain reaction. Results. The levels of HbA1c and fasting glucose and the magnitude of dawn phenomenon were significantly higher in the diabetes group with poor sleep quality than that with good sleep quality. Peripheral leucocytes from subjects with poor sleep quality expressed significantly lower transcript levels of BMAL1 and PER1 compared with those with good sleep quality. Poor sleep quality was significantly correlated with magnitude of dawn phenomenon. Multiple linear regression showed that sleep quality and PER1 were significantly independently correlated with dawn phenomenon. Conclusions. Dawn phenomenon is associated with sleep quality. Furthermore, mRNA expression of circadian clock genes is dampened in peripheral leucocytes of subjects with poor sleep quality.

scholarly journals MON-698 Association of Sleep Quality and Painless Diabetic Peripheral Neuropathy in Type 2 Diabetes

2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Dughyun Choi ◽  
Bo Yeon Kim ◽  
Chan-Hee Jung ◽  
Chul-Hee Kim ◽  
Jioh Mok
Keyword(s):  
Type 2 Diabetes ◽  
Peripheral Neuropathy ◽  
Sleep Quality ◽  
Diabetic Peripheral Neuropathy ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
The Poor ◽  
Painful Sensation ◽  
Good Sleep

Abstract Aims Diabetic peripheral neuropathy (DPN) is one of the most common and early manifested complication in T2D. Previous reports have shown that painful sensation of diabetic peripheral neuropathy (DPN) results in sleep problems in type 2 diabetes (T2D)1, 2. However, it is not known that subtype of DPN, the painless DPN also is associated with poor sleep quality in T2D. The purpose of the current study was to investigate the association between painless DPN and poor sleep quality in T2D. Methods A total of 146 patients of T2D who did not previously diagnose with symptomatic DPN were recruited into the study. Among the patients, painless DPN was diagnosed by using the current perception threshold (CPT) test. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Results The percentage of painless DPN was significantly higher in the poor sleep quality group than the good sleep quality group (70.0% vs. 35.5%, P<0.001). In the subscale results, stimulus values in 2000 Hz, hypoesthesia and hyperesthesia were significantly higher in the poor sleep quality group, than in the good sleep quality group (45.7% vs. 25.0%, P=0.009; 34.3% vs. 18.4%, P=0.029; 40.0% vs. 19.7%, P=0.007, respectively). The association of painless DPN and poor sleep quality remained significant after adjustment for significant variants (odds ratio, 3.825; 95% confidence interval, 1.674-8.742; P<0.001). Conclusions The current study showed that painless DPN was associated with poor sleep quality. Future studies are required to clarify the pathophysiologic causal relationship between painless DPN and sleep quality. References 1. Gore M, Brandenburg NA, Dukes E, Hoffman DL, Tai K-S, Stacey B. Pain severity in diabetic peripheral neuropathy is associated with patient functioning, symptom levels of anxiety and depression, and sleep. Journal of pain and symptom management. 2005;30(4): 374-385. 2. Zelman DC, Brandenburg NA, Gore M. Sleep impairment in patients with painful diabetic peripheral neuropathy. Clin J Pain. 2006;22(8): 681-685.

scholarly journals Decrease in Sleep Duration and Poor Sleep Quality over Time Is Associated with an Increased Risk of Incident Non-Alcoholic Fatty Liver Disease

2022 ◽  
Vol 12 (1) ◽  
pp. 92
Author(s):  
Yoo Jin Um ◽  
Yoosoo Chang ◽  
Hyun-Suk Jung ◽  
In Young Cho ◽  
Jun Ho Shin ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Duration ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Alcoholic Fatty Liver ◽  
Increased Risk ◽  
Alcoholic Fatty Liver Disease ◽  
Good Sleep ◽  
Over Time

The impact of changes in sleep duration and sleep quality over time on the risk of non-alcoholic fatty liver disease (NAFLD) is not known. We investigated whether changes in sleep duration and in sleep quality between baseline and follow-up are associated with the risk of developing incident NAFLD. The cohort study included 86,530 Korean adults without NAFLD and with a low fibrosis score at baseline. The median follow-up was 3.6 years. Sleep duration and quality were assessed using the Pittsburgh Sleep Quality Index. Hepatic steatosis (HS) and liver fibrosis were assessed using ultrasonography and the fibrosis-4 index (FIB-4). Cox proportional hazard models were used to determine hazard ratios (HRs) and 95% confidence intervals (Cis). A total of 12,127 subjects with incident HS and 559 with incident HS plus intermediate/high FIB-4 was identified. Comparing the decrease in sleep duration of >1 h, with stable sleep duration, the multivariate-adjusted HR (95% CIs) for incident HS was 1.24 (1.15–1.35). The corresponding HRs for incident HS plus intermediate/high FIB-4 was 1.58 (1.10–2.29). Comparing persistently poor sleep quality with persistently good sleep quality, the multivariate-adjusted HR for incident HS was 1.13 (95% CI, 1.05–1.20). A decrease in sleep duration or poor sleep quality over time was associated with an increased risk of incident NAFLD, underscoring an important potential role for good sleep in preventing NAFLD risk.

scholarly journals Quality of sleep and use of computers and cell-phones among university students

2019 ◽  
Vol 65 (12) ◽  
pp. 1454-1458 ◽  
Author(s):  
Diogo von Gaevernitz Lima ◽  
Ana Claudia Garabeli Cavalli Kluthcovsky ◽  
Luiz Gustavo Rachid Fernandes ◽  
Giovane Okarenski
Keyword(s):  
Medical Students ◽  
Sleep Quality ◽  
Computer Use ◽  
Cell Phones ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Good Sleep

SUMMARY OBJECTIVE Evaluate the quality of sleep and its association with the use of computers and cell-phones among medicine and dentistry students. METHODS Cross-sectional and comparative study, which evaluated 425 students through a socioeconomic questionnaire, the Pittsburgh Sleep Quality Index(PSQI), and a questionnaire on their use of computers and cell phones. RESULTS Poor sleep quality was observed in 61.4% of medical students and in 60.1% of dentistry students. Medical students with poor sleep quality had a higher mean time of computer use at night when compared to those with good sleep quality (p=0.04), as well as for computer (p<0.001) and cell phone use (p<0.01) immediately before bedtime. Dentistry students with poor sleep quality had a higher average time of computer use before bedtime than those with good sleep quality (p=0.03). CONCLUSION Students should receive guidance on prevention strategies and quality of sleep care.

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