scholarly journals Sleep Quality and Anxiety Level among College Students

2021 ◽  
Vol 8 (10) ◽  
pp. 271-276
Author(s):  
Sreejesh. K.P ◽  
Nezra Joseph ◽  
Gopika K Sreenivasan
Keyword(s):  
College Students ◽  
Sleep Quality ◽  
Psychological Health ◽  
Short Term Memory ◽  
Anxiety Level ◽  
Self Report ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Term Memory ◽  
Positive Correlation

Background: Sleep is essential for prevention of wasteful use of energy, resupply of energy and helps the brain to convert short term memory to long term memory. Poor sleep quality affect person’s physical and psychological health. Objectives: Objectives of the study are to investigate correlation of sleep quality and anxiety level among college students and to find out the association between demographic variables with sleep quality and anxiety level of college students in Ernakulam. Methodology: Descriptive survey design was adopted for the study. Convenience sampling technique was used to select 100 samples from amrita school of arts and sciences Ernakulum. The tool used for the study consists of structured self-administered demographic profile of college students; Pittsburgh sleep quality index (PSQI) was used to measure the total PSQI score and its 7 sub component and Becks Anxiety Inventory (BAI) was used to measure the self-report measure anxiety. Data was analysed using descriptive and inferential statistics. Result: Majority of the subjects 67 (67%) had poor sleep quality and most of the subjects 76% had low anxiety and BAI score was highly significant association but had moderately positive correlation with sleep medication and total PSQI Score. All other subcomponents of PSQI had weak positive correlation with anxiety level. Anxiety level of college student had significant association (p=0.012) association with using of E gadgets Conclusion: In conclusion of the study decrease in sleep quality increase the anxiety level of college students. Keywords: college students, sleep quality, anxiety.

scholarly journals Association of Quality of Sleep and Decreased Short Term Memory Function in Medical Students of Pelita Harapan University

Medicinus ◽  
2020 ◽  
Vol 7 (7) ◽  
pp. 216
Author(s):  
Stevanie Budianto ◽  
Yusak M.T Siahaan
Keyword(s):  
Sleep Quality ◽  
Short Term Memory ◽  
Memory Function ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Poor Sleep Quality ◽  
Short Term ◽  
Chi Square ◽  
Term Memory

<p><strong>Background:</strong> Memory is a place where information is stored from the learning process or experience. There are several types of memory , one of them is short term memory. Declining sleep quality is directly proportional to the decrease in short-term memory. Poor sleep quality is often associated with medical student due to exams or vast amount of tasks. Therefore, researcher wants to see whether there is significant correlation between sleep quality and short-term memory function in students.</p><p><strong>Aim:</strong> To assess the association of the quality of sleep towards short term memory function of medical student of Pelita Harapan University.</p><p><strong>Methods:</strong> This study was conducted with a cross-sectional method, with taking sample using the method of a simple random sample. A total of 90 respondents at University of Pelita Harapan were taken. Data collected sorted out according to the inclusion and exclusion criteria. Quality of sleep assessed with PSQI questionnaire while short-term memory assessed by Digit span backward test. Results processed with SPSS version 24 and tested with Chi Square.</p><p><strong>Results</strong>: Data analyzed by Chi square test showed there are 33 students (58.9%) have poor sleep quality and short term memory function. There are also significant association between the quality of sleep and short term memory function (p value = 0.026)</p><p><strong>Conclusion:</strong> There is significant association between the quality of sleep and short term memory function of medical students of Pelita Harapan University.</p>

scholarly journals Measuring Subjective Sleep Quality: A Review

2021 ◽  
Vol 18 (3) ◽  
pp. 1082
Author(s):  
Marco Fabbri ◽  
Alessia Beracci ◽  
Monica Martoni ◽  
Debora Meneo ◽  
Lorenzo Tonetti ◽  
...  
Keyword(s):  
Construct Validity ◽  
Sleep Quality ◽  
Psychometric Properties ◽  
Internal Consistency ◽  
Self Report ◽  
Measurement Properties ◽  
Poor Sleep ◽  
Daily Routine ◽  
Factorial Structure ◽  
Poor Sleep Quality

Sleep quality is an important clinical construct since it is increasingly common for people to complain about poor sleep quality and its impact on daytime functioning. Moreover, poor sleep quality can be an important symptom of many sleep and medical disorders. However, objective measures of sleep quality, such as polysomnography, are not readily available to most clinicians in their daily routine, and are expensive, time-consuming, and impractical for epidemiological and research studies., Several self-report questionnaires have, however, been developed. The present review aims to address their psychometric properties, construct validity, and factorial structure while presenting, comparing, and discussing the measurement properties of these sleep quality questionnaires. A systematic literature search, from 2008 to 2020, was performed using the electronic databases PubMed and Scopus, with predefined search terms. In total, 49 articles were analyzed from the 5734 articles found. The psychometric properties and factor structure of the following are reported: Pittsburgh Sleep Quality Index (PSQI), Athens Insomnia Scale (AIS), Insomnia Severity Index (ISI), Mini-Sleep Questionnaire (MSQ), Jenkins Sleep Scale (JSS), Leeds Sleep Evaluation Questionnaire (LSEQ), SLEEP-50 Questionnaire, and Epworth Sleepiness Scale (ESS). As the most frequently used subjective measurement of sleep quality, the PSQI reported good internal reliability and validity; however, different factorial structures were found in a variety of samples, casting doubt on the usefulness of total score in detecting poor and good sleepers. The sleep disorder scales (AIS, ISI, MSQ, JSS, LSEQ and SLEEP-50) reported good psychometric properties; nevertheless, AIS and ISI reported a variety of factorial models whereas LSEQ and SLEEP-50 appeared to be less useful for epidemiological and research settings due to the length of the questionnaires and their scoring. The MSQ and JSS seemed to be inexpensive and easy to administer, complete, and score, but further validation studies are needed. Finally, the ESS had good internal consistency and construct validity, while the main challenges were in its factorial structure, known-group difference and estimation of reliable cut-offs. Overall, the self-report questionnaires assessing sleep quality from different perspectives have good psychometric properties, with high internal consistency and test-retest reliability, as well as convergent/divergent validity with sleep, psychological, and socio-demographic variables. However, a clear definition of the factor model underlying the tools is recommended and reliable cut-off values should be indicated in order for clinicians to discriminate poor and good sleepers.

Differential Diagnosis of Sluggish Cognitive Tempo Symptoms in College Students

2020 ◽  
pp. 108705471989685
Author(s):  
Benjamin J. Lovett ◽  
Whitney L. M. Wood ◽  
Lawrence J. Lewandowski
Keyword(s):  
College Students ◽  
Sleep Quality ◽  
Substance Misuse ◽  
Sleep Problems ◽  
Sluggish Cognitive Tempo ◽  
Poor Sleep ◽  
Depression And Anxiety ◽  
Poor Sleep Quality ◽  
Clinically Significant ◽  
Cognitive Tempo

Objective: Sluggish cognitive tempo (SCT) refers to a set of symptoms that prior research has found to be related to several different psychological disorders, especially the predominantly inattentive presentation of ADHD. This study collected evidence relevant to the question of whether SCT is a distinct disorder. Method: College students ( N = 910) completed measures of SCT, ADHD, depression, anxiety, sleep quality, and substance misuse. Results: Students reporting clinically high SCT (reporting at least five symptoms often or very often) had significantly higher levels and rates of other types of psychopathology. Moreover, when students reporting clinically significant levels of ADHD, depression, and anxiety symptoms, poor sleep quality, or hazardous levels of alcohol or cannabis use were removed, very few students reporting high SCT remained (only 4.8% of the original high-SCT group). Conclusion: SCT may be best thought of as a symptom set common to many types of psychopathology, and it may be caused by sleep problems or substance misuse as well.

scholarly journals Sleep Quality and Self-Control: The Mediating Roles of Positive and Negative Affects

2020 ◽  
Vol 11 ◽  
Author(s):  
Jinru Liu ◽  
Lin Zhu ◽  
Conghui Liu
Keyword(s):  
Negative Affect ◽  
Sleep Quality ◽  
Positive Affect ◽  
Self Control ◽  
Self Report ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Negative Affects ◽  
The Relationship ◽  
Positive And Negative Affects

This study examined the mediating roles of both positive and negative affects in the relationship between sleep quality and self-control. A sample of 1,507 Chinese adults (37% men; mean age = 32.5 years) completed self-report questionnaires measuring sleep quality, positive and negative emotions, and self-control. Poor sleep quality was positively correlated with negative affect and negatively correlated with positive affect and self-control. Positive affect was positively correlated with self-control, while negative affect was negatively correlated with self-control. Both positive and negative affects significantly mediated the relationship between sleep quality and self-control. Improving individuals’ sleep qualities may lead to more positive emotions and less negative emotion, and these mood changes may increase resources for self-control. Regulating positive and negative affects may reduce the negative effects of poor sleep quality on self-control.

scholarly journals Poor Sleep Quality and Compromised Visual Working Memory Capacity

2019 ◽  
Vol 25 (6) ◽  
pp. 583-594 ◽  
Author(s):  
Weizhen Xie ◽  
Anne Berry ◽  
Cindy Lustig ◽  
Patricia Deldin ◽  
Weiwei Zhang
Keyword(s):  
Working Memory ◽  
Sleep Quality ◽  
Depressed Mood ◽  
Working Memory Capacity ◽  
Community Sample ◽  
Information Storage ◽  
Self Report ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Related Factors

AbstractObjectives:Reduction in the amount of information (storage capacity) retained in working memory (WM) has been associated with sleep loss. The present study examined whether reduced WM capacity is also related to poor everyday sleep quality and, more importantly, whether the effects of sleep quality could be dissociated from the effects of depressed mood and age on WM.Methods:In two studies, WM was assessed using a short-term recall task, producing behavioral measures for both the amount of retained WM information (capacity) and how precise the retained WM representations were (precision). Self-report measures of sleep quality and depressed mood were obtained using questionnaires.Results:In a sample of college students, Study 1 found that poor sleep quality and depressed mood could independently predict reduced WM capacity, but not WM precision. Study 2 generalized these sleep- and mood-related WM capacity effects to a community sample (aged 21–77 years) and further showed that age was associated with reduced WM precision.Conclusions:Together, these findings demonstrate dissociable effects of three health-related factors (sleep, mood, and age) on WM representations and highlighte the importance of assessing different aspects of WM representations (e.g., capacity and precision) in future neuropsychological research.

scholarly journals The Epidemiology of Sleep Quality and Consumption of Stimulant Beverages among Patagonian Chilean College Students

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Juan Carlos Vélez ◽  
Aline Souza ◽  
Samantha Traslaviña ◽  
Clarita Barbosa ◽  
Adaeze Wosu ◽  
...  
Keyword(s):  
College Students ◽  
Sleep Quality ◽  
Pittsburgh Sleep Quality Index ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Beverage Consumption ◽  
Study Participants ◽  
Self Administered Questionnaire

Objectives. (1) To assess sleep patterns and parameters of sleep quality among Chilean college students and (2) to evaluate the extent to which stimulant beverage use and other lifestyle characteristics are associated with poor sleep quality.Methods. A cross-sectional study was conducted among college students in Patagonia, Chile. Students were asked to complete a self-administered questionnaire to provide information about lifestyle and demographic characteristics. The Pittsburgh Sleep Quality Index (PSQI) was used to evaluate sleep quality. In addition, students underwent a physical examination to collect anthropometric measurements.Results. More than half of students (51.8%) exhibited poor sleep quality. Approximately 45% of study participants reported sleeping six hours or less per night and 9.8% used medications for sleep. In multivariate analysis, current smokers had significantly greater daytime dysfunction due to sleepiness and were more likely to use sleep medicines. Students who reported consumption of any stimulant beverage were 1.81 times as likely to have poor sleep quality compared with those who did not consume stimulant beverages (OR:1.81, 95% CI:1.21–2.00).Conclusions.Poor sleep quality is prevalent among Chilean college students, and stimulant beverage consumption was associated with the increased odds of poor sleep quality in this sample.

scholarly journals The relationship between fatigability and sleep quality in people with multiple sclerosis

2016 ◽  
Vol 2 ◽  
pp. 205521731668277 ◽  
Author(s):  
Mayis Aldughmi ◽  
Jessie Huisinga ◽  
Sharon G Lynch ◽  
Catherine F Siengsukon
Keyword(s):  
Multiple Sclerosis ◽  
Sleep Quality ◽  
Quality Index ◽  
Sleep Disturbances ◽  
Performance Test ◽  
Pittsburgh Sleep Quality Index ◽  
Self Report ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
The Relationship

Background Perceived fatigue and fatigability are constructs of multiple sclerosis (MS)-related fatigue. Sleep disturbances lead to poor sleep quality, which has been found to be associated with perceived fatigue in people with MS (PwMS). However, the relationship between fatigability and sleep quality is unknown. Objective To explore the relationship between physical and cognitive fatigability with self-reported and objective measures of sleep quality in PwMS. Methods Fifty-one ambulatory PwMS participated in the study. Physical fatigability was measured by percent-change in meters walked on the six-minute walk test (6MWT) and in force exerted on a repeated maximal hand grip test. Cognitive fatigability was measured using response speed variability on the continuous performance test. Self-report sleep quality was measured using the Pittsburgh Sleep Quality Index, and objective sleep quality was measured using 1 week of actigraphy. Results Components of the Pittsburgh Sleep Quality Index and several actigraph parameters were significantly associated with physical fatigability and cognitive fatigability. However, controlling for depression eliminated the association between the sleep outcomes and cognitive fatigability and attenuated the association between the sleep outcomes and physical fatigability. Conclusion Poor sleep quality is related to fatigability in MS but depression appears to mediate these relationships.

Perceived Stress Mediates the Associations between Sleep Quality and Symptoms of Anxiety and Depression among College Nursing Students

2018 ◽  
Vol 15 (1) ◽  
Author(s):  
Yuan Zhang ◽  
Anya Peters ◽  
Guanling Chen
Keyword(s):  
College Students ◽  
Nursing Students ◽  
Sleep Quality ◽  
Perceived Stress ◽  
Well Being ◽  
Mental Illnesses ◽  
Anxiety And Depression ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Increased Risk

AbstractMental illnesses, such as anxiety and depression, are top concerns among college students. Poor sleep quality intensifies the risk of mental illnesses. However, the mechanism for the associations between sleep quality and mental illnesses in college students is not well understood. Online surveys were collected with 242 undergraduate nursing students at a public university in the northeast United States. Multivariate linear regression models suggested that poor sleep quality was associated with an increased risk of symptoms of anxiety (β = 1.08, p < 0.01) and depression (β = 1.00, p < 0.01). Perceived stress mediated the association between sleep quality and symptoms of anxiety by 85.3 %, and mediated the association between sleep quality and symptoms of depression by 60.0 %. This study suggested that in addition to sleep promotion, effective interventions to identify unique stressors in nursing students and facilitate the development of appropriate coping strategies are needed to enhance their mental health and well-being.

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