Personality Traits and Sleep Patterns/problems in Medical Students

2009 ◽  
Vol 24 (S1) ◽  
pp. 1-1
Author(s):  
B.R. Maia ◽  
M.J. Soares ◽  
A. Gomes ◽  
M. Marques ◽  
A.T. Pereira ◽  
...  
Keyword(s):  
Medical Students ◽  
Sleep Disturbance ◽  
Personality Traits ◽  
Sleep Duration ◽  
Sleep Problems ◽  
Sleep Patterns ◽  
Sleep Timing ◽  
Sleep Medication ◽  
The Relationship ◽  
Inadequate Sleep

Aim:This study examines the relationship between the personality traits of Neuroticism and Extroversion and sleep patterns and others sleep behaviours in medical students.Method:Neuroticism and Extroversion were assessed using the Portuguese version of the Eysenck Personality Inventory. Sleep was assessed with a self-response questionnaire covering a wide range of sleep-wake habits and difficulties. A factor analysis with varimax rotation was performed with seventeen items of the questionnaire and four factors were extracted: Sleep Disturbance, Sleep Timing, Insufficient Sleep and Dreams/Nightmares. A total of 203 third year medical students (127 females, 62.6%) mean age 20.01 (SD=1.09; Range=18-24) participated in the study.Results:There were no significant gender differences in Neuroticism and Extroversion mean scores (Neuroticism: p=.454; Extroversion: p=.891). Extroversion was significantly correlated with Sleep Timing (p=.000), whereasthere was a trend for Neuroticism to be associated with Sleep Disturbance (p=.095). Concerning the relationship of Neuroticism and Extroversion mean scores with other Sleep problems, Neuroticism was found associated with concentration difficulties in the morning (p=.006), inadequate sleep duration (p=.001), sleep problems (p=.012), and use of sleep medication (p=.052). No significant associations were found with Extroversion.Conclusion:Neuroticism was significantly associated with sleep problems, use of sleep medication, inadequate sleep duration, and concentration difficulties in the morning. Extroversion was correlated only with later Sleep Timing.

304 The relationship between basic personality, subjective sleep duration, and psychological distress during a military deployment

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A121-A121
Author(s):  
Walter Sowden ◽  
Alexxa Bessey ◽  
Julie Merrill ◽  
Ashlee Mckeon ◽  
Jake Choynowski ◽  
...  
Keyword(s):  
Psychological Distress ◽  
Personality Traits ◽  
Sleep Duration ◽  
Big Five ◽  
Military Personnel ◽  
The United States ◽  
Post Traumatic Stress ◽  
Medicine Research ◽  
Subjective Sleep ◽  
The Relationship

Abstract Introduction Extended, overseas operations (deployments) increase the likelihood that military personnel will experience psychological distress. Reduced sleep during deployments is a key correlate of psychological distress. Thus, it is imperative to identify mechanisms that adaptively modulate the relationship between insufficient sleep and psychological distress. Research has recently connected basic personality traits (i.e., the Big Five: extraversion, agreeableness, conscientiousness, neuroticism, and openness) to more sleep. The current project aimed to examine the relationship between basic personality traits, subjective sleep duration (SSD), and psychological distress during an operational deployment. Methods 488 soldiers took surveys both prior to and half-way through a nine-month deployment. The pre-deployment survey included the Big Five Index, and three standardized measures of psychological distress commonly used to screen military personnel for anxiety (Generalized Anxiety Disorder; GAD-7), depression (Patient Health Questionnaire; PHQ-8), and post-traumatic stress (Posttraumatic Symptom Disorder Checklist; PCL-4). The mid-deployment survey included an item from the Pittsburgh Sleep Quality Index measuring SSD and the same psychological distress measures from the pre-deployment survey. General linear models were used to test the interaction between SSD and each basic personality trait on each measure of psychological distress at mid-deployment while accounting for psychological distress at pre-deployment. Results Of the Big Five, conscientiousness was the only trait to significantly moderate the relationship between SSD and anxiety, t = 2.11, p = .035, where higher conscientiousness weakened the relationship. Further only agreeableness attenuated the relationship between depression and SSD, t = 2.10, p = .036. Interestingly, the only Big Five trait that moderated the relationship between SSD and PTS was openness, insomuch that openness strengthened the relationship, t = -1.92, p = .055. Conclusion The relationship between SSD and psychological distress was uniquely impacted by different personality traits. These results reinforce the age-old concept that behavior is the product of a complex, nuanced, and puzzling interaction between the individual and the environment. The current research motivates further research into personality as an adaptive mechanism for optimizing military wellbeing. Support (if any) Support for this study came from the Military Operational Medicine Research Program (MOMRP) of the United States Army Medical Research and Development Command (USAMRDC).

The prevalence of insomnia and characteristics of sleep patterns collected from sleep diary among medical students of University of Medicine and Pharmacy at Ho Chi Minh City, Vietnam

MedPharmRes ◽  
2021 ◽  
Vol 5 (3) ◽  
pp. 34-38
Author(s):  
Phuong Thi Mai ◽  
Huyen Thi Bui ◽  
Khue Diem Bui
Keyword(s):  
Medical Students ◽  
Associated Factors ◽  
Sleep Problems ◽  
Demographic Data ◽  
Sleep Diary ◽  
Common Disease ◽  
Sleep Patterns ◽  
Cross Sectional Survey ◽  
Falling Asleep ◽  
High Prevalence

Introduction: Insomnia is a common disease in all societies and age groups. Among them, medical students are one of the population most susceptible to sleep problems. Studies from many countries have shown high prevalence of insomnia among medical students. Sleep diary is the gold standard for evaluating subjective insomnia and other sleep disorders. This research aims to study the prevalence of insomnia in Vietnamese medical students, associated factors, and their sleep patterns. Method: In a cross-sectional survey using stratified random sampling, a total of 176 medical students was recruited, each completed a self-administered questionnaire and a 7-consecutive-day sleep diary. Demographic data and lifestyle factors were obtained from the questionnaire, while sleep patterns and quality were collected from the sleep diary. We performed data analysis using SPSS ver 22, p<0.05 was statistically significant. Results: Overall, out of 176 participants, 93 (52.8%) were affected by insomnia. On average, students acquired 6.2 hours of sleep each night. 70.94% of the recorded nights had total sleep time (TST) less than 7 hours. Associated factors of insomnia include sleep environment, sleep efficiency (SE), bedtime, falling asleep time, get up time, self-reported sleep quality. Conclusion: The findings of our study revealed the high prevalence of insomnia among medical students. From recorded sleep data, we observed that sleep deprivation is also a common issue faced by the study participants. The valuable insights provided by sleep diary proved to be crucial in evaluating sleep patterns and quality.

scholarly journals Relationship of Problematic Smartphone Use, Sleep Quality, and Daytime Fatigue Among Quarantined Medical Students During the COVID-19 Pandemic

2021 ◽  
Vol 12 ◽  
Author(s):  
Chi Zhang ◽  
Ping Zeng ◽  
Joshua Tan ◽  
Siwei Sun ◽  
Minghao Zhao ◽  
...  
Keyword(s):  
Medical Students ◽  
Sleep Quality ◽  
Sleep Disturbance ◽  
Mental Fatigue ◽  
Mediating Effect ◽  
Physical Fatigue ◽  
Problematic Smartphone Use ◽  
Smartphone Use ◽  
Relationship Of ◽  
The Relationship

Background: The COVID-19 pandemic brought about great transformation to medical education mode. Although mobile communication devices played a crucial role in online learning among quarantined university students, the potential smartphone addition problems, negative health behaviors, and psychological symptoms need considerable attention. This study examined the relationship of problematic smartphone use (PSU), sleep quality, and daytime fatigue among medical students.Methods: A web-based survey was conducted in six polyclinic hospitals in Beijing between February and May 2020. 1016 participants (26.01 ± 2.46 years, 65.16% female) completed self-report measurements including Short Version Smartphone Addiction Scale (SAS-SV), Athens Insomnia Scale (AIS), and Subjective Fatigue Scale (FS). Spearman correlation coefficients and multiple regression models were used to analyze the association among PSU, sleep quality, and daytime fatigue. We used structural equation modeling to test the mediating effect of sleep quality between PSU and daytime fatigue.Results: 49.70% of the participants had PSU. Significant positive correlations were found among SAS-SV, AIS, and FS scores (r = 0.35–0.61, PS &lt; 0.001). Subjects with PSU were more likely to report sleep disturbance (β = 1.07, P &lt; 0.001, OR = 2.91, 95%CI = 2.17–3.91), physical fatigue (β = 1.16, P &lt; 0.001, OR = 3.18, 95%CI = 2.45–4.15), and mental fatigue (β = 0.88, P &lt; 0.001, OR = 2.42, 95%CI = 1.86–3.14). The indirect effect of PSU on physical fatigue and mental fatigue mediated by sleep quality accounted for 50.03 and 45.43% of the total effect, respectively.Conclusions: PSU was significantly associated with sleep disturbance and fatigue among medical students during the COVID-19 pandemic. Sleep quality mediated the relationship between PSU and daytime fatigue. Our results provide valuable information for maintaining medical students' health status and constructing online education structures.

scholarly journals The Relationship Between a Baby's Age and Sleepiness in a Sample of Mothers

2021 ◽  
Vol 12 ◽  
Author(s):  
Mar Sánchez-García ◽  
María José Cantero ◽  
Eva Carvajal-Roca
Keyword(s):  
Sleep Quality ◽  
Sleep Duration ◽  
Daytime Sleepiness ◽  
Positive Relationship ◽  
Sleep Problems ◽  
Initial Period ◽  
Practical Importance ◽  
Sleep Disruption ◽  
Control Group ◽  
The Relationship

One question of great practical importance for the parents, and especially the mother, after the birth of a baby, refers to how long the time during which they have to go with less and more fragmented sleep actually lasts. Most of the studies only explore this issue up to 6 months of the newborn's life, and less is known about the sleep problems the mothers may have after this initial period. The objective of this study is to examine the relationship between the sleep disruption and daytime sleepiness of mothers with infants until 2 years old compared to a group of women currently not at care of babies. To this end, a sample of 113 women, 67 currently bringing up a baby of under 2 years old, and the remainder without a baby at their care under 6 years old, reported sleep duration, sleep interruptions, sleep quality, and responded to questionnaires of sleep quality and daytime sleepiness. The relationship between the age of the children and the comparison between the groups was used to highlight the sleep problems of the mothers taking care of the infant. The results showed that there was a positive relationship between the age of the infant and the duration of the sleep of the mothers and that the duration of sleep for them was similar to those of the women in the control group about 6 months after the infant was born. However, fragmentation of sleep, daytime sleepiness, and sleep problems were still higher than in the control group for mothers with children between 6 and 12 months old.

scholarly journals SLEEP PATTERNS

2018 ◽  
Vol 21 (01) ◽  
pp. 148-156
Author(s):  
Aftab Anjum ◽  
Muhammad Aslam Bajwa ◽  
Rizwan Saeed
Keyword(s):  
College Students ◽  
Medical Students ◽  
Life Style ◽  
Sleep Problems ◽  
Sleep Time ◽  
Sleep Patterns ◽  
Cross Sectional ◽  
Sleeping Pills ◽  
Night Awakening ◽  
Academic Demands

Background: College students experience a number of sleep problems, which1impact academic performance, health, and mood . University students are exposed to pressuresdue to academic demands. Objectives: To determine the prevalence of sleep disorders amongcollege students and look into their sleep patterns and life style. Design: A cross-sectional study.Material & Method: Sample was comprised of 141 medical and non-medical students. Placeand Period of Study: The study was conducted at University of Lahore and period spanned fromDec 2010 to April 2011. Results: The age ranged 18 to 26, with 42.6 to 57.4 Male-female ratios.Both groups were almost similar in use of sleeping pills (medical: 97.2, non-medical: 82.2%).They differed in percentages for studying academic books, listening MP 3 player and late nightparties/hangouts, wherein medical students outnumbered non-medical students almost by half.Both groups differed in their usual time to sleep, medical students who sleep later than 12 pm washigher (66.2%), compared to 46.6% non-medical. In taking day naps (medical: 70.6%, nonmedical:37.0%), awakening due to noise often (medical: 41.2%, non-medical: 30.1%),nightmares during sleep often (medical: 23.5%, non-medical: 19.5%) and sometimes (medical:44.1%, non-medical: 30.1%), difficulty in falling sleep sometimes (medical: 50.0%, non-medical:32.9%), feel sleepiness in the class often (medical: 45.6%, non-medical: 28.8%), feel tired orsleepiness during the day (medical: 36.7%, non-medical: 23.4%). Both groups also differregarding worry about “sleep disturbance to some extent”. (medical:51.4%, nonmedical:35.6%).Conclusions: Our study found that medical students had more disturbed sleeppatterns than the comparing group including delaying sleep time at night, awakening due tonoise, experiencing nightmares, difficulty in falling sleep, feeling sleepiness in the class andduring the day

scholarly journals The Impact of COVID-19 on Sleep Quality in People Living With Disabilities

2021 ◽  
Vol 12 ◽  
Author(s):  
Nikki Heinze ◽  
Syeda F. Hussain ◽  
Claire L. Castle ◽  
Lauren R. Godier-McBard ◽  
Theofilos Kempapidis ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Disturbance ◽  
Sleep Duration ◽  
State Anxiety ◽  
People With Disabilities ◽  
Convenience Sample ◽  
Sleep Medication ◽  
Quality Sleep ◽  
The Impact

Background: Research exploring the impact of the COVID-19 pandemic on sleep in people with disabilities has been scarce. This study provides a preliminary assessment of sleep in people with disabilities, across two timepoints during the pandemic, with a focus on those with visual impairment (VI).Methods: Two online surveys were conducted between April 2020 and March 2021 to explore sleep quality using the Pittsburgh Sleep Quality Index (PSQI). A convenience sample of 602 participants completed the first survey and 160 completed the follow-up survey.Results: Across both timepoints, participants with disabilities reported significantly poorer global sleep quality and higher levels of sleep disturbance, use of sleep medication and daytime dysfunction than those with no disabilities. Participants with VI reported significantly higher levels of sleep disturbance and use of sleep medication at both timepoints, poorer global sleep quality, sleep duration and latency at time 1, and daytime dysfunction at time 2, than those with no disabilities. Global sleep quality, sleep duration, sleep efficiency, and self-rated sleep quality deteriorated significantly in participants with no disabilities, but daytime dysfunction increased in all three groups. Disability and state anxiety were significant predictors of sleep quality across both surveys.Conclusion: While sleep was consistently poorer in people with disabilities such as VI, it appears that the COVID-19 pandemic has had a greater impact on sleep in people with no disabilities. State anxiety and, to a lesser extent, disability, were significant predictors of sleep across both surveys, suggesting the need to address anxiety in interventions targeted toward improving sleep.

scholarly journals 1093 Population-level Suicide Ideation: Impact Of Combined Roles Of Sleep Duration, Sleep Disturbance, And Daytime Sleepiness

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A416-A416
Author(s):  
A Jajoo ◽  
A Tubbs ◽  
M L Perlis ◽  
S Chakravorty ◽  
A Seixas ◽  
...  
Keyword(s):  
Sleep Disturbance ◽  
Sleep Duration ◽  
Depressed Mood ◽  
Suicide Ideation ◽  
Population Level ◽  
Poor Sleep ◽  
The Past ◽  
Health And Nutrition ◽  
Falling Asleep ◽  
The Relationship

Abstract Introduction Poor sleep has been shown to be related to suicide ideation and depressed mood, but population-level studies have not been done to explore the specific issues within sleep that effect mood, specifically leading to suicide ideation. Methods Data from adults 18 and older in the 2015-2016 National Health and Nutrition Examination Survey (NHANES) who provided complete data were used (N=5,123). Suicide ideation was recorded as the presence of thinking that “you would be better off dead” in the past 2 weeks. Sleep duration was recorded in half-hour increments and transformed to represent absolute distance from 7 hours (to model u-shaped association). Sleep disturbance was recorded as presence of “difficulty falling asleep, staying asleep, or sleeping too much” non, several days, or more than half the days of the past 2 weeks. Sleepiness was frequency feeling “overly sleepy during the day” in the past 12 months. Covariates included age, sex, race/ethnicity, and presence of depressed mood in the past 2 weeks. Additional impact of difficulty thinking/concentrating in the past 2 weeks was explored. NHANES sample weights were used in analyses. Results In adjusted analyses, increase likelihood of suicide ideation was associated with distance from 7hrs (OR=1.24/hr, p=0.008), sleep difficulties most of the time (OR=2.46, p=0.001), but not sleepiness. When both sleep variables were adjusted for each other, results remained significant for U-shaped sleep duration (OR=1.21/hr, p=0.02) and sleep disturbance (OR=2.31, p=0.003). These were attenuated but remained significant when difficulty thinking/concentrating was introduced; a significant sobel test (p&lt;0.0001) suggested partial mediation, with this variable accounting for approximately 13% of the variance of the relationship to sleep. Conclusion In the population, improper and poor sleep was associated with a greater risk of suicide ideation. Support Dr. Grandner is supported by R01MD011600

scholarly journals The relationship between sleep disturbance in late pregnancy and labor outcomes

2016 ◽  
Vol 4 (1) ◽  
pp. 12
Author(s):  
Aida Aalrazek ◽  
Gamila Ayoub ◽  
Abdul-Monim Batiha ◽  
Ibtisam Al-Zaru ◽  
Fadwa Alhalaiqa ◽  
...  
Keyword(s):  
Sleep Disturbance ◽  
Sleep Duration ◽  
Healthcare Providers ◽  
Late Pregnancy ◽  
Convenience Sample ◽  
Sleep Quantity ◽  
Significant Difference ◽  
Sample Technique ◽  
The Relationship ◽  
Labor Outcomes

<p><strong>Background</strong>: Inadequate sleep is a common problem among women, in part as a result of a deficiency of information about its influence on health; particularly, the effect of sleep deprivation during pregnancy on labor outcomes (maternal and fetal).</p><p><strong>Objective</strong>: To study the correlations between sleep duration and labor outcomes among women in late pregnancy.</p><p><strong>Method/ Material</strong>: A prospective descriptive study was conducted at four settings in the Menoufiya Governorate of Egypt. A convenience sample technique was used. The study sample involves 200 pregnant women. Data collection extended from April 2013 to January 2014.</p><p><strong>Result:</strong> The results revealed that: a) most of the women in the studied sample (50%) suffered from sleep disturbance in late pregnancy at gestational age above 37 weeks and b) that only 24% suffered sleep disturbance between 28-32 weeks. It takes 30-60 min for majority of the women in the research sample (42.5%) to fall asleep at night; only (10%) take &lt;5 min to fall asleep at night. No significant difference between the total hours of sleep and birth duration was found in this study.</p><p><strong>Conclusion:</strong> The study concluded that healthcare providers should advise women during pregnancy to get adequate sleep duration of at least eight hours and provide prenatal assessments include the sleep quantity and quality because they both affect the duration of labor and type of delivery. </p>

Sign in / Sign up

Export Citation Format

Share Document