scholarly journals LOSS, SLEEP, AND HEART RATE VARIABILITY: GENDER DIFFERENCES

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S915-S916
Author(s):  
Hye Won Chai ◽  
Dylan J Jester ◽  
Soomi Lee ◽  
Susanna Joo
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
The United States ◽  
Physiological Adaptation ◽  
Significant Other ◽  
Quality Of Sleep ◽  
Quality Scale ◽  
Quality Sleep ◽  
Using Data

Abstract Death of a significant other is consistently found to have a detrimental effect on cardiovascular functioning, and such relationship may be stronger when loss is accompanied by low-quality sleep. Using data from the Biomarker project of Midlife in the United States study (n=1,310), we examined whether quality-of-sleep has an additive effect on the relationship between loss and heart rate variability (HRV). Loss was measured as losing someone close within a year of data collection, and was categorized based on the respondents’ relationship with the deceased. Relationship was categorized as: immediate family, relative, and friend. Quality-of-sleep was measured using the Pittsburgh Sleep Quality scale. Results showed that the associations among loss, sleep, and HRV differed by gender. For women, losing an immediate family was associated with worse HRV and this did not differ by quality-of-sleep. For men, death of an immediate family was associated with worse HRV only among those with poorer quality sleep. These results suggest that low-quality sleep may indicate psychophysical vulnerability for men who experienced loss, which may relate to their lower capacity for physiological adaptation.

scholarly journals Exploring the Association between Sleep Quality and Heart Rate Variability among Female Nurses

2021 ◽  
Vol 18 (11) ◽  
pp. 5551
Author(s):  
Hsiu-Chin Hsu ◽  
Hsiu-Fang Lee ◽  
Mei-Hsiang Lin
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Sleep Quality ◽  
Low Frequency ◽  
Stepwise Multiple Regression ◽  
Total Power ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Female Nurses

The quality of nurses’ work has a direct effect on patient health, and poor sleep has been positively associated with nurses’ medical errors. The aim of this study was to investigate the relationship between quality of sleep and heart rate variability (HRV) among female nurses. A descriptive cross-sectional correlational study design was used in January 2014 to study female nurses (n = 393) employed in a medical center in Taiwan. Data were obtained from several questionnaires. HRV was analyzed with five-minute recordings of heart rate signals obtained using a Heart Rater SA-3000P. Approximately 96% of the participants self-reported a poor quality of sleep. Compared to non-shift nurses, significant decreases were found in total power (TP) and low-frequency HRV among shift-work nurses. However, negative correlations were found between sleep quality and HRV, including total power, low frequency, and the low frequency/high frequency ratio (r = −0.425, p < 0.05; r = −0.269, −0.266, p < 0.05). In a stepwise multiple regression analysis, 23.1% of variance in quality of sleep can be explained by TP and heart rate. The sleep quality of female nurses was poor and this affected their autonomic nervous system, which can contribute unfavorable consequences for their health.

FRAMEWORK FOR TRACKING FITNESS USING DATA ANALYTICS

2021 ◽  
Vol 6 (5) ◽  
Author(s):  
Suma Shruthika M
Keyword(s):  
Heart Rate ◽  
Data Analytics ◽  
Tracking System ◽  
Data Exploration ◽  
Quality Of Sleep ◽  
Huge Amount ◽  
Health Tracking ◽  
Fitness Tracking ◽  
Using Data

— Today, all the devices around are built with the capacity to produce and store data in its most relevant form. Unless and until interesting insights and data which are meaningful can be extracted, the data stored will be of no use. Fitness tracking smart watches like fitbit track and store data like the number of steps walked, the quality of sleep, heart rate (beats per minute), the number of calories burned in a particular day and many other various activities. From this health tracking system, the fitbit application gathers a huge amount of data and allows us to analyze the fitness data collected by the application. By employing techniques like data exploration, modelling, deploying and integrating, we will be able to arrive with very useful insights.

Quantity but not quality of sleep is related to heart rate variability in women with cancer

2013 ◽  
Author(s):  
Salene M. Wu ◽  
Labarron K. Hill ◽  
John J. Sollers ◽  
Julian F. Thayer ◽  
Charles L. Shapiro ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Quality Of Sleep

Posttransplant Improvement in Heart Rate Variability Correlates with Improved Quality of Life

2000 ◽  
Vol 22 (6) ◽  
pp. 749-768 ◽  
Author(s):  
Donna K. Hathaway ◽  
Mona N. Wicks ◽  
Ann K. Cashion ◽  
Patricia A. Cowan ◽  
E. Jean Milstead ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Heart Rate ◽  
Heart Rate Variability

THE STUDY WAS CARRIED OUT TO ASSESS QUALITY OF SLEEP AND PERCEIVED SLEEP DISTRACTORS AMONG PATIENTS ADMITTED AT MMIMS&R HOSPITAL MULLANA AMBALA.

2021 ◽  
pp. 22-26
Author(s):  
Prakash Jha ◽  
Preeti Anand ◽  
Prashant Prashant ◽  
Priya Priya ◽  
Priyanka Roy ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sampling Technique ◽  
Poor Quality ◽  
Quality Of Sleep ◽  
Early Recovery ◽  
Quality Sleep ◽  
Duration Of Hospitalization ◽  
Education Status ◽  
Assess Quality

A good high-quality of sleep and it's have an effect on in daily existence of both the healthful and sick character turns into one of the most important cognizance of problem. Aims: The study aimed to assess the Quality of Sleep and Perceived Sleep Distractors among patients. Methods: Non-Experimental descriptive research design was conducted among 135 patients through convenient sampling technique. Modied Sleep quality Scale and Structured Perceived Sleep Distractors Perfoma was used. Results: Showed (27.4%) of the patients had poor quality of sleep, most of the patients (47.4%) were having fair quality of sleep. Most of the patients (52.6%) were having severe distractions while sleeping, less than half (44.4%) were having moderate level of distractions while sleeping only (3.0%) perceived very severe distraction during hospital stay. There was a moderate positive relationship between Quality of Sleep and Perceived Sleep Distractors NS Score(r=0.113, p=0.19 ). Further the results also indicated that quality of sleep is only associated with Patient admitted in 2 2 (department) (χ = 30.652, p=0.01) whereas perceived sleep distractors is associated with Education status (χ = 17.280, 2 2 p=0.02), Duration of Hospitalization (χ = 45.425, p=0.00), Patient admitted in (department) (χ = 28.066, p=0.03).Conclusion: The study concludes that there is a need to identify factors responsible that hinders good quality sleep among patients admitted in hospital as well as the sleep quality can be enhanced by decreasing the sleep distractors and thus it can be helpful in the early recovery of the patients

SUICIDE, SOCIAL CAPITAL, AND HATE GROUPS IN THE UNITED STATES

World Affairs ◽  
2021 ◽  
pp. 004382002110538
Author(s):  
Brendan Szendro
Keyword(s):  
Social Capital ◽  
Public Support ◽  
The United States ◽  
Public Attention ◽  
Far Right ◽  
Hate Groups ◽  
Suicide Rates ◽  
Using Data ◽  
Enduring Power

In recent years, hate groups have increasingly attracted public attention while at the same time escaping the purview of scholars. Although overt prejudiced attitudes have lost public support in recent decades, hate group and hate-group activity has remained relatively consistent. What, then, explains the enduring power of hate? I argue that hate groups have arisen in reaction to the loss of social capital, particularly in regard to rural and exurban communities. Using county-level suicide rates as a proxy for the loss of social capital, I test this theory using data from the lower 48 states from 2010 to 2019. I find that each 5.38 percent increase in suicide rates is associated with 1 additional hate group forming. These findings highlight the importance of examining quality-of-life in understanding far-right activity, and challenge previous findings with regard to rurality and hate.

Mind–body interactive qigong improves physical and mental aspects of quality of life in inpatients with stroke: A randomized control study

2019 ◽  
Vol 18 (8) ◽  
pp. 658-666 ◽  
Author(s):  
Ching-Hsiang Chen ◽  
Kuo-Sheng Hung ◽  
Yu-Chu Chung ◽  
Mei-Ling Yeh
Keyword(s):  
Quality Of Life ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
High Frequency ◽  
Standard Care ◽  
Low Frequency ◽  
Control Group ◽  
Subacute Stroke ◽  
Interactive Exercise

Background: Stroke, a medical condition that causes physical disability and mental health problems, impacts negatively on quality of life. Post-stroke rehabilitation is critical to restoring quality of life in these patients. Objectives: This study was designed to evaluate the effect of a mind–body interactive qigong intervention on the physical and mental aspects of quality of life, considering bio-physiological and mental covariates in subacute stroke inpatients. Methods: A randomized controlled trial with repeated measures design was used. A total of 68 participants were recruited from the medical and rehabilitation wards at a teaching hospital in northern Taiwan and then randomly assigned either to the Chan-Chuang qigong group, which received standard care plus a 10-day mind–body interactive exercise program, or to the control group, which received standard care only. Data were collected using the National Institutes of Health Stroke Scale, Hospital Anxiety and Depression Scale, Short Form-12, stroke-related neurologic deficit, muscular strength, heart rate variability and fatigue at three time points: pre-intervention, halfway through the intervention (day 5) and on the final day of the intervention (day 10). Results: The results of the mixed-effect model analysis showed that the qigong group had a significantly higher quality of life score at day 10 ( p<0.05) than the control group. Among the covariates, neurologic deficit ( p=0.04), muscle strength ( p=0.04), low frequency to high frequency ratio ( p=0.02) and anxiety ( p=0.04) were significantly associated with changes in quality of life. Conversely, heart rate, heart rate variability (standard deviation of normal-to-normal intervals, low frequency and high frequency), fatigue and depression were not significantly associated with change in quality of life ( p >0.05). Conclusions: This study supports the potential benefits of a 10-day mind–body interactive exercise (Chan-Chuang qigong) program for subacute stroke inpatients and provides information that may be useful in planning adjunctive rehabilitative care for stroke inpatients.

scholarly journals Nurturing Practitioner-Researcher Partnerships to Improve Adoption and Delivery of Research-Based Social and Public Health Services Worldwide

2019 ◽  
Vol 16 (5) ◽  
pp. 862 ◽  
Author(s):  
Rogério Pinto ◽  
Anya Spector ◽  
Rahbel Rahman
Keyword(s):  
Public Health ◽  
The United States ◽  
Public Health Services ◽  
Partnership Development ◽  
Research Cycle ◽  
Tailored Approach ◽  
Using Data ◽  
Research Based Interventions ◽  
Research Based Practices

Research-based practices—psychosocial, behavioral, and public health interventions—have been demonstrated to be effective and often cost-saving treatments, but they can take up to two decades to reach practitioners within the health and human services workforce worldwide. Practitioners often rely on anecdotal evidence and their “practice wisdom” rather than on research, and may thus unintentionally provide less effective or ineffective services. Worldwide, community engagement in research is recommended, particularly in low-resource contexts. However, practitioner involvement has not been adequately explored in its own right as an innovative community-engaged practice that requires a tailored approach. The involvement of practitioners in research has been shown to improve their use of research-based interventions, and thus the quality of care and client outcomes. Nevertheless, the literature is lacking specificity about when and how (that is, using which tasks and procedures) to nurture and develop practitioner–researcher partnerships. This paper offers theoretical and empirical evidence on practitioner–researcher partnerships as an innovation with potential to enhance each phase of the research cycle and improve services, using data from the United States, Brazil, and Spain. Recommendations for partnership development and sustainability are offered, and a case is made for involving practitioners in research in order to advance social justice by amplifying the local relevance of research, increasing the likelihood of dissemination to community settings, and securing the sustainability of research-based interventions in practice settings.

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