scholarly journals Poor Sleep Quality Associated With High Risk Of Ventricular Tachycardia After Acute Myocardial Infarction

2019 ◽  
Vol Volume 11 ◽  
pp. 281-289 ◽  
Author(s):  
Shipeng Wang ◽  
Hui Gao ◽  
Zewen Ru ◽  
Yanan Zou ◽  
Yilan Li ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Ventricular Tachycardia ◽  
High Risk ◽  
Sleep Quality ◽  
Poor Sleep ◽  
Poor Sleep Quality

Identification of patients at high risk for recurrence of sustained ventricular tachycardia after healing of acute myocardial infarction

1992 ◽  
Vol 69 (5) ◽  
pp. 462-464
Author(s):  
Luz Maria Rodriguez ◽  
Rodulfo Oyarzun ◽  
Joep Smeets ◽  
Johannes Brachmann ◽  
Claus Schmitt ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Ventricular Tachycardia ◽  
High Risk ◽  
Sustained Ventricular Tachycardia

scholarly journals Sleep and high-risk behavior in military service members: a mega-analysis of four diverse U.S. Army units

SLEEP ◽  
2020 ◽  
Author(s):  
Janna Mantua ◽  
Alexxa F Bessey ◽  
Carolyn A Mickelson ◽  
Jake J Choynowski ◽  
Jeremy J Noble ◽  
...  
Keyword(s):  
High Risk ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Military Service ◽  
Negative Binomial ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Short Sleep Duration ◽  
Subjective Sleep Quality ◽  
Military Populations

Abstract Experimental sleep restriction and deprivation lead to risky decision-making. Further, in naturalistic settings, short sleep duration and poor sleep quality have been linked to real-world high-risk behaviors (HRB), such as reckless driving or substance use. Military populations, in general, tend to sleep less and have poorer sleep quality than nonmilitary populations due to a number of occupational, cultural, and psychosocial factors (e.g. continuous operations, stress, and trauma). Consequently, it is possible that insufficient sleep in this population is linked to HRB. To investigate this question, we combined data from four diverse United States Army samples and conducted a mega-analysis by aggregating raw, individual-level data (n = 2,296, age 24.7 ± 5.3). A negative binomial regression and a logistic regression were used to determine whether subjective sleep quality (Pittsburgh Sleep Quality Index [PSQI], Insomnia Severity Index [ISI], and duration [h]) predicted instances of military-specific HRB and the commission of any HRB (yes/no), respectively. Poor sleep quality slightly elevated the risk for committing HRBs (PSQI Exp(B): 1.12 and ISI Exp(B): 1.07), and longer duration reduced the risk for HRBs to a greater extent (Exp(B): 0.78), even when controlling for a number of relevant demographic factors. Longer sleep duration also predicted a decreased risk for commission of any HRB behaviors (Exp(B): 0.71). These findings demonstrate that sleep quality and duration (the latter factor, in particular) could be targets for reducing excessive HRB in military populations. These findings could therefore lead to unit-wide or military-wide policy changes regarding sleep and HRB.

scholarly journals 0855 Primary Sleep Disorders And The Combined Outcome Of Poor Sleep Quality With Objective Short Sleep Duration In Older Persons

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A325-A326
Author(s):  
B Miner ◽  
C A Vaz Fragoso ◽  
L Han ◽  
K L Stone ◽  
N S Redeker ◽  
...  
Keyword(s):  
High Risk ◽  
Sleep Quality ◽  
Sleep Disorders ◽  
Older Persons ◽  
Osteoporotic Fractures ◽  
Self Report ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Short Sleep Duration ◽  
Short Sleep

Abstract Introduction Poor sleep quality with short sleep duration (SSD) is a high-risk phenotype that is likely to be associated with primary sleep disorders (obstructive sleep apnea [OSA], periodic limb movements of sleep [PLMS], and restless legs syndrome [RLS]) in older persons. We evaluated the associations among primary sleep disorders and this high-risk phenotype in older persons. Methods Using data on 3,058 men from the Osteoporotic Fractures in Men Sleep Study and 3,127 women from the Study of Osteoporotic Fractures, mean ages 76 and 84 years, respectively, we evaluated cross-sectional associations between primary sleep disorders and the combined outcome of poor sleep quality with actigraphic SSD. In women, OSA and RLS were evaluated by self-report. In men, OSA and PLMS were evaluated by polysomnography and RLS by self-report. Poor sleep quality was defined by Pittsburgh Sleep Quality Index score >5 and SSD by average total sleep time ≤6 hours from wrist actigraphy (averaged over ~5 days). Men and women were evaluated separately. Multivariate logistic regression models also included demographics, self-reported chronic conditions, anxiety, depression, and medication use. Results Poor sleep quality with actigraphic SSD was more prevalent in men (475 [15.6%]) than women (400 [13.1%]). In unadjusted models in men, odds of poor sleep quality with actigraphic SSD were significantly higher with OSA, PLMS, and RLS (ORs [95% Cis] = 1.99 [1.57, 2.52], 2.11 [1.41, 3.18], and 5.58 [2.51, 12.43], respectively). In multivariable models in men, odds of poor sleep quality with actigraphic SSD were significantly higher with OSA (1.59 [1.18, 2.14]) but not with PLMS or RLS. In unadjusted models in women, odds of poor sleep quality with actigraphic SSD were significantly higher with OSA (3.57 [0.40, 31.88]) and RLS (5.60 [3.04, 10.32]), but results were not significant in multivariable models in women. Conclusion Older persons with primary sleep disorders have higher odds of poor sleep quality with actigraphic SSD. However, the predominant mechanisms underlying this high-risk phenotype may be driven more by medical and psychiatric comorbidity than by primary sleep disorders. Support The American Academy of Sleep Medicine Foundation and the Yale Claude D. Pepper Older Americans Independence Center

scholarly journals SLEEP QUALITY IN PATIENTS WITH ACUTE MYOCARDIAL INFARCTION

2015 ◽  
Vol 24 (4) ◽  
pp. 1104-1111 ◽  
Author(s):  
Carla Renata Silva Andrechuk ◽  
Maria Filomena Ceolim
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Sleep Quality ◽  
Quality Index ◽  
Pittsburgh Sleep Quality Index ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Cross Sectional ◽  
Before And After ◽  
Improve Sleep Quality

ABSTRACT The aim of this study was to describe sleep quality and to identify associated factors in patients hospitalized with acute myocardial infarction. A descriptive and cross-sectional study was conducted with 113 patients (70.8% men, mean age 59.7 years). An instrument was used for sociodemographic and clinical characterization and the Pittsburgh Sleep Quality Index. Results showed that 71.7% of participants had poor sleep quality and over 64% slept six hours or less per night. The presence of diabetes mellitus, depression, and absence of physical activity contributed to increase the final score of the Pittsburgh Sleep Quality Index in about 2.5 points for each variable. The identification of sleep quality and proposals of interventions to improve sleep quality must be included in the actions of nurses in order to reduce harm to patients' health before and after the acute myocardial infarction episode.

Association of severity of depressive symptoms with sleep quality, social support and stress among Pakistani medical and dental students: A cross-sectional study

2019 ◽  
Vol 2 (2) ◽  
pp. 211-220
Author(s):  
Ahmed Waqas ◽  
Aqsa Iftikhar ◽  
Zahra Malik ◽  
Kapil Kiran Aedma ◽  
Hafsa Meraj ◽  
...  
Keyword(s):  
Social Support ◽  
Depressive Symptoms ◽  
Medical Students ◽  
Sleep Quality ◽  
Severe Depression ◽  
Dental Students ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Medical And Dental Students

AbstractObjectivesThis study has been designed to elucidate the prevalence of stress, depression and poor sleep among medical students in a Pakistani medical school. There is a paucity of data on social support among medical students in Pakistan; an important predictor of depressive symptoms. Therefore, this study was also aimed to demonstrate the direct and indirect impact of social support in alleviating depressive symptoms in the study sample.MethodsThis observational cross-sectional study was conducted in Lahore, Pakistan, where a total of 400 students at a medical school were approached between 1st January to 31st March 2018 to participate in the study. The study sample comprised of medical and dental students enrolled at a privately financed Pakistani medical and dental school. The participants responded to a self-administered survey comprising of five parts: a) demographics, b) Pittsburgh Sleep Quality Index (PSQI), c) Patient Health Questionnaire-9 (PHQ-9), d) Multidimensional Scale of Perceived Social Support (MSPSS) and e) Perceived Stress Scale-4 (PSS-4). All data were analysed using SPSS v. 20. Linear regression analysis was used to reveal the predictors of depression.ResultsIn total, 353 medical students participated, yielding a response rate of 88.25%. Overall, poor sleep quality was experienced by 205 (58.1%) students. Mild to severe depression was reported by 83% of the respondents: mild depression by 104 (29.5%), moderate depression by 104 (29.5%), moderately severe depression by 54 (15.3%) and severe depression by 31 (8.8%) respondents. Subjective sleep quality, sleep latency, daytime dysfunction and stress levels were significantly associated with depression symptoms. Social support was not significantly associated with depressive symptoms in the regression model (Beta = -0.08, P < 0.09); however, it acted as a significant mediator, reducing the strength of the relationship between depressive symptoms and sleep quality and stress.ConclusionsAccording to our study, a large proportion of healthcare (medical and dental) students were found to be suffering from mild to moderate depression and experienced poor sleep quality. It is concluded that social support is an important variable in predicting depressive symptomatology by ameliorating the effects of poor sleep quality and high stress levels.

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