The Relationship Between Quality of Sleep and Emotional Empathy

2017 ◽  
Vol 31 (4) ◽  
pp. 158-166 ◽  
Author(s):  
Veronica Guadagni ◽  
Ford Burles ◽  
Silvana Valera ◽  
Emeleigh Hardwicke-Brown ◽  
Michele Ferrara ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Undergraduate Students ◽  
Research Participation ◽  
Stepwise Multiple Regression ◽  
Quality Of Sleep ◽  
Emotional Empathy ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Negative Images

Abstract. Sleep loss is known to severely disturb individuals’ mood and emotion processing. Here, we tested the hypothesis that quality of sleep is predictive of individuals’ performance on a task evaluating emotional empathy. We tested 34 healthy undergraduate students [19 males, mean (SD) age = 21.82 (3.26) years; mean (SD) education = 14.98 (1.91) years] recruited through the University of Calgary research participation system. We collected objective (actigraphy) and subjective (questionnaires and self-reports) sleep measures to characterize individuals’ sleep quality, and asked participants to solve a computerized emotional empathy task. We first performed a dimensionality reduction analysis on the sleep-related measures, which resulted in six principal components, and then ran a stepwise multiple regression analysis to investigate the sleep measures that best predicted participants’ scores on the emotional empathy task. We found that subjective sleep quality, together with sleep phase, best predicted participants’ empathic sensitivity to negative images while they explicitly evaluated the emotions of others (i.e., direct component of emotional empathy). Also, subjective sleep quality resulted to be the best predictor of participants’ arousal state in response to negative images, which is an implicit manifestation of their empathic experience (i.e., indirect component of emotional empathy). In both cases, lower subjective sleep quality was associated with lower empathic sensitivity to negative stimuli. Finally, sleep duration best predicted average empathic responses to stimuli of all valences, with shorter sleep durations associated with lower average empathic responses. Our findings provide evidence of a significant relationship between individuals’ quality of sleep and their ability to share the emotions experienced by others. These findings may have important implications for individuals employed in professions requiring social interaction and empathic experience coupled with schedules that interfere with nighttime sleep.

scholarly journals A Cross-Sectional Questionnaire Based Study to Evaluate Subjective Sleep Quality among Undergraduate Students in India

2013 ◽  
Author(s):  
Nirmegh Basu ◽  
Akansha Saxena ◽  
Ayushi Sarraf ◽  
Anoop Singh ◽  
Akshanshi Gulani ◽  
...  
Keyword(s):  
Academic Performance ◽  
Sleep Quality ◽  
Undergraduate Students ◽  
Negative Impact ◽  
Well Being ◽  
Common Belief ◽  
Survey Analysis ◽  
Subjective Sleep Quality ◽  
Subjective Sleep

Irregular sleep patterns are often a major hindrance in the life of undergraduate students, fueled by the undulating lifestyle anomalies and new vulnerabilities that come with college life. Insomnia, slapdash sleep cycles, and daytime dysfunction may affect both physical as well as mental well-being of individuals. India has the largest share of young adults in the world, which also makes it a likely epicenter for increasing sleep disorders. Students are often exposed to a significantly high level of academic burden and turn to options such as pulling all-nighters that further propel these issues. Most students realize the effects of a bad sleep schedule but nonetheless sacrifice it for the promise of better grades ignoring the double-edged sword. This study assesses the association of self-rated subjective sleep quality with habits prevalent among undergraduate students in India and its effect on their academic performance. Based on a modified PSQI questionnaire, the participants’ sleep quality was scored and a large majority of students showed an overall moderately good sleep quality. Insufficient sleep was seen to have an adverse effect on facial appearance, work productivity and enthusiasm for daily chores, among students. Unlike previous reports, the current dataset did not reveal any significant impact of sleep quality on the academic performance of the students. We also analyzed the most prevalent factors that were responsible for disruption of sleep in college goers and probed the major reasons for nighttime phone usage, which revealed social media to be a major contributor. Although the negative impact of sleep deprivation on academic performance has been studied earlier, any differential impact of stream has not been addressed thoroughly. Unlike the common belief of disparity induced due to stream-based academic pressure, our survey analysis showed insignificant contribution of stream leading to differences in sleep quality of students. Although participants’ reported mild disruption in sleep, it was observed across all streams and it did not seem to have an immediate effect on overall sleep quality of undergraduate students.

scholarly journals A Cross-Sectional Questionnaire Based Study to Evaluate Subjective Sleep Quality among Undergraduate Students in India

2021 ◽  
Author(s):  
Nirmegh Basu ◽  
Akansha Saxena ◽  
Ayushi Sarraf ◽  
Anoop Singh ◽  
Akshanshi Gulani ◽  
...  
Keyword(s):  
Academic Performance ◽  
Sleep Quality ◽  
Undergraduate Students ◽  
Negative Impact ◽  
Well Being ◽  
Common Belief ◽  
Survey Analysis ◽  
Subjective Sleep Quality ◽  
Subjective Sleep

Irregular sleep patterns are often a major hindrance in the life of undergraduate students, fueled by the undulating lifestyle anomalies and new vulnerabilities that come with college life. Insomnia, slapdash sleep cycles, and daytime dysfunction may affect both physical as well as mental well-being of individuals. India has the largest share of young adults in the world, which also makes it a likely epicenter for increasing sleep disorders. Students are often exposed to a significantly high level of academic burden and turn to options such as pulling all-nighters that further propel these issues. Most students realize the effects of a bad sleep schedule but nonetheless sacrifice it for the promise of better grades ignoring the double-edged sword. This study assesses the association of self-rated subjective sleep quality with habits prevalent among undergraduate students in India and its effect on their academic performance. Based on a modified PSQI questionnaire, the participants’ sleep quality was scored and a large majority of students showed an overall moderately good sleep quality. Insufficient sleep was seen to have an adverse effect on facial appearance, work productivity and enthusiasm for daily chores, among students. Unlike previous reports, the current dataset did not reveal any significant impact of sleep quality on the academic performance of the students. We also analyzed the most prevalent factors that were responsible for disruption of sleep in college goers and probed the major reasons for nighttime phone usage, which revealed social media to be a major contributor. Although the negative impact of sleep deprivation on academic performance has been studied earlier, any differential impact of stream has not been addressed thoroughly. Unlike the common belief of disparity induced due to stream-based academic pressure, our survey analysis showed insignificant contribution of stream leading to differences in sleep quality of students. Although participants’ reported mild disruption in sleep, it was observed across all streams and it did not seem to have an immediate effect on overall sleep quality of undergraduate students.

scholarly journals Sleep quality of women with gynecological and breast cancer

2006 ◽  
Vol 14 (6) ◽  
pp. 872-878 ◽  
Author(s):  
Renata Furlani ◽  
Maria Filomena Ceolim
Keyword(s):  
Breast Cancer ◽  
Sleep Quality ◽  
Nursing Care ◽  
Pittsburgh Sleep Quality Index ◽  
Night Sleep ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Waking Up ◽  
Careful Assessment

Subjective sleep quality has been recognized as a valuable indicator of health and quality of life. This exploratory and descriptive study aimed at describing habitual sleep quality of women suffering from gynecological and breast cancer and comparing habitual versus sleep quality during hospitalization. Twenty-five women admitted in hospital for clinical treatment of cancer completed the Pittsburgh Sleep Quality Index (PSQI) within 72 hours after admission and again just before discharge. Fifty-two percent of subjects reported habitual bad sleep quality, and this proportion increased to 80% of subjects during hospital stay. Subjects indicated the following most frequent causes of night sleep disturbance: need to go to the toilet, waking up early and receiving nursing care during the night. Results point to the importance of including careful assessment of sleep quality and environment in nursing care planning for oncology patients, mainly during hospitalization.

Yogic meditation improves objective and subjective sleep quality of healthcare professionals

2020 ◽  
Vol 40 ◽  
pp. 101204
Author(s):  
Priscilla Caetano Guerra ◽  
Danilo F. Santaella ◽  
Vania D'Almeida ◽  
Rogerio Santos-Silva ◽  
Sergio Tufik ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Healthcare Professionals ◽  
Quality Of Healthcare ◽  
Subjective Sleep Quality ◽  
Subjective Sleep

scholarly journals Psychological Distress Induces Poor Sleep Quality: A Cross-Sectional Study of Pharmacy Students in Bandung City, Indonesia

2018 ◽  
Vol 11 (1) ◽  
pp. 369-375 ◽  
Author(s):  
Sofa D. Alfian ◽  
Henry Ng ◽  
Dika P. Destiani ◽  
Rizky Abdulah
Keyword(s):  
Psychological Distress ◽  
Sleep Quality ◽  
Undergraduate Students ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional Survey ◽  
Subjective Sleep Quality ◽  
Cross Sectional ◽  
Subjective Sleep

Introduction: Poor subjective sleep quality in undergraduate students has not been widely studied in Bandung city, Indonesia. Poor sleep quality has been related to a number of risk factors for poor health outcomes. Objective: To analyze the association between psychological distress and subjective sleep quality. Methods: A cross sectional survey was done in one of the universities of Bandung city, Indonesia. Data were collected from 290 undergraduate students selected through consecutive sampling. Pittsburg Sleep Quality Index (PSQI) and Kessler-10 questionnaire were administered. Results: The prevalence of psychological distress was well (43.1%), mild (28.6%), moderate (20.7%), and severe (7.6%). The overall sleep quality was poor and good in 84.5% and 15.5% of the students. There was a significant association between psychological distress and poor sleep quality (p=0.006). The multivariate analysis suggested that psychological distress was a predictor of poor sleep quality (OR 1.991; 95% CI, 1.311−3.026). Conclusion: There is a need for an awareness of the college resources to help manage the stress levels of students through effective coping strategy-related study habits.

scholarly journals Sleep quality during home distancing in the COVID-19 pandemic in the Western Amazon

2021 ◽  
Vol 31 (3) ◽  
pp. 458-464
Author(s):  
Carlos Roberto Teixeira Ferreira ◽  
Francisco Naildo Cardoso Leitão ◽  
Maura Bianca Barbary de Deus ◽  
Italla Maria Pinheiro Bezerra ◽  
Rejane Rosas Barbary de Deus ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Subjective Sleep Quality ◽  
Cross Sectional ◽  
Web Based ◽  
Demographic Questionnaire ◽  
Significant Difference ◽  
Quality Sleep

Introduction: the COVID-19 pandemic incited unprecedented global restrictions on society’s behavior. Home detachment and isolation measures applied during the COVID-19 pandemic can result in problems with sleep quality. It is an important measure to reduce the risk of infection from the COVID-19 outbreak. Objective: to investigate the existence of a difference between the quality of sleep before and during the home distance imposed by the Covid-19 pandemic. Methods: cross-sectional web-based survey was sent using different conventional social media to collect data from the study population. The evaluated group was composed of 124 subjects, 57 of whom were male and 67 were female from the city of Rio Branco / AC. For this study, the Pittsburgh Sleep Quality Index questionnaire (PSQI-BR) and a socio-demographic questionnaire were used. The volunteers received a link along with the description and purpose of the study. Finally, data analysis was performed using SPSS 22.0 software. Results: sleep quality worsened significantly during home distance in four sleep components (subjective sleep quality, sleep latency, sleep drowsiness and overall PSQI score). During social distance, poor sleep was greater among respondents (OR = 5.68; 95% CI = 1.80–17.82; p = 0.70). Conclusion: the results indicated that there was a significant difference between the quality of sleep before and during home detachment and sleep disturbance and the subjective quality of sleep before and during the period of the outbreak of COVID-19 were the components that most worsened in the state of sleep

scholarly journals Effects of subjective sleep quality on the quality of life in patients with chronic anorectal disorder

2018 ◽  
Author(s):  
Bulent Devrim Akcay ◽  
◽  
Vahit Onur Gul ◽  
Serhat Ozer ◽  
Duygu Akcay ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Sleep Quality ◽  
Subjective Sleep Quality ◽  
Subjective Sleep

scholarly journals Subjective sleep quality, quantitative sleep features, and their associations dependent on demographic characteristics, habitual sleep–wake patterns, and distinction of weekdays/weekends

2021 ◽  
Author(s):  
Siwalee Choilek ◽  
Akihiro Karashima ◽  
Ikuko Motoike ◽  
Norihiro Katayama ◽  
Kengo Kinoshita ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Demographic Characteristics ◽  
Subjective Rating ◽  
Dynamic Features ◽  
Information Technology Workers ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Wake Patterns

AbstractGenerally applicable qualifications of sleep and principles for achieving better sleep are difficult to design, because sleep quality can depend on individual demographic characteristics and lifestyles. In this study, the static and dynamic features of sleep–wake patterns were analyzed in association with quantitative sleep-related parameters and self-rated sleep quality to serve as a practical selection of sleep–wake patterns fitted to individual conditions. Data obtained over a 2-week period by actigraphy from university students and information technology workers were measured to obtain a daily subjective rating of sleep quality using the Oguri–Shirakawa–Azumi (OSA) sleep inventory. Qualitative sleep quality in terms of OSA score and quantitative sleep-related and chronobiological features were analyzed with regard to their dependency on the demographic characteristics, habitual sleep–wake patterns (HSWP), and distinction of weekdays/weekends. Multi-factor ANOVA was used to further investigate their dependencies regarding multiple ways of interactions between the demographic characteristics, HSWP, and distinction of weekdays/weekends. Subjective sleep quality and quantitative sleep-related parameters depended on the demographic characteristics, and so did their associations. The classification of day-to-day variations in HSWP showed four clusters that were effective factors for understanding their dependencies. Multi-factor analysis revealed demographic characteristics, HSWP, distinction of weekdays/weekends, and their multi-way interactions up to 3rd order as significant effectors of qualitative and quantitative quality of sleep. This study clarified how quantitative sleep-related parameters, subjective sleep quality, and their associations depended on demographic characteristics. Furthermore, their dependency was understood as a combination of multi-way interactions between the demographic characteristics, HSWP, and the distinction of weekdays/weekends. Our findings could provide a basis for the design of individually matched sleep–wake patterns.

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