scholarly journals THE IMPACT OF SOCIAL MEDIA USE ON SLEEP QUALITY AND PERFORMANCE AMONG COLLEGIATE ATHLETES

2021 ◽  
Vol 9 (7_suppl3) ◽  
pp. 2325967121S0008
Author(s):  
Rhonda A. Watkins ◽  
Dai Sugimoto ◽  
Danielle L. Hunt ◽  
Jessie R. Oldham ◽  
Andrea Stracciolini
Keyword(s):  
Social Media ◽  
Sleep Quality ◽  
College Athletes ◽  
Negative Impact ◽  
Collegiate Athletes ◽  
Poor Sleep ◽  
Binary Logistic Regression Model ◽  
Independent Association ◽  
And Performance ◽  
The Impact

Background: Social media (SM) use among young adults has increased significantly in recent years and has been linked to poor sleep quality. College athletes pose a unique risk for poor sleep given their many demands. Currently, limited research is available on the impact of SM use on sleep quality, or the competition performance of college athletes. Hypothesis: College athletes who use more SM will have worse sleep quality and worse competition performance. Methods: A cross-sectional study design was employed among local NCAA Division III athletes. Data was collected via a SM use form, lifestyle survey, and PROMIS sleep disturbance questionnaire. SM volume (hours of SM use per day over 7 days) was recorded using the iPhone screen time function. The main outcome measures were sleep quality, using the PROMIS T-score, and performance, collected through publicly available competition results. Participants were divided into 3 groups based on their SM volume; 1) moderate SM users (SM time ≤ 2hours/day), 2) active SM users (SM time < 2 - ≤5hours/day), and 3) super active SM users (SM time > 5hours/day). For sleep quality, an ANCOVA was used to identify differences in the 3 groups while controlling for covariates (i.e. injury status, caffeine use, number of roommates, academic load, catastrophic life event, life balance and sleep medication use) that might impact sleep and performance. For performance, a binary logistic regression model was used to determine the independent association between each variable and competition performance after adjusting for confounders. Results: 87 athletes (age:19.5±1.2 years, 40 males, 47 females) completed the survey. All males participated in track and field, while the females consisted of 37 track athletes and 10 swimmers. Controlling for the effect of lifestyle variables, a difference in sleep quality was identified among the three groups (p=0.025), (Table 1. A pairwise comparison indicated that the sleep quality of super active SM users was worse than moderate SM users (p=0.033) (Figure 1). For competition performance, an independent association was found between increased Facebook time and poor performance after adjusting confounders (aOR: 0.989, 95%CI: 0.978-0.999, p=0.038), (Table 2,3). Conclusion: High SM use appears to have a negative impact on sleep quality. Also, greater SM use may hinder competition performance among college athletes. These findings may have implications for developing SM use guidelines for college athletes to improve their sleep quality and performance. Tables/Figures: [Table: see text][Table: see text][Table: see text][Figure: see text]

Association of Social Media Use on Sleep Quality and Performance Among Collegiate Athletes

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Rhonda A. Watkins ◽  
Dai Sugimoto ◽  
Danielle Hunt ◽  
Jessie Oldham ◽  
Paul A. Cacolice ◽  
...  
Keyword(s):  
Social Media ◽  
Sleep Quality ◽  
Media Use ◽  
Collegiate Athletes ◽  
Social Media Use ◽  
And Performance

scholarly journals Impact of covid19 lockdown on sleep quality and acute psychiatric morbidity in medical students in Sudan. 

2021 ◽  
Author(s):  
Albashir A. Altayeb ◽  
Batool A. altayeb ◽  
Mohammed E. Ibrahim ◽  
Amira Siddig Abdalgalil
Keyword(s):  
Medical Students ◽  
Sleep Quality ◽  
Negative Impact ◽  
Psychiatric Morbidity ◽  
Systematic Sampling ◽  
Poor Sleep ◽  
Cross Sectional ◽  
The Impact ◽  
Junior Students ◽  
Severe Anxiety

Abstract Introduction: The severe acute respiratory syndrome coronavirus-2 (SARS-COV-2) is an emerging infection causing a widely spread pandemic of Coronavirus disease 2019 (COVID-19). The current COVID-19 pandemic is promoting fear of falling sick, dying, helplessness, and stigma. Urgent and timely understanding of sleep quality and mental health status is needed to help the community. Our investigation designed to assess the degree of sleep disturbance and psychological impact of the lockdown among medical students at university of Khartoum.Objectives: this study conducted to assess the impact of covid-19 lockdown on sleep quality and acute psychiatric morbidities among medical students at university of Khartoum.Method: Institutional based cross sectional study was conducted among 326 participants from Khartoum university, faculty of medicine. Study participants were determined by two steps, stratified sampling followed by systematic sampling techniques. Data was collected using standardized questionnaire, entered and analyzed using Statistical Package for Social Science (SPSS) software version 25.Results: out of the total 326 participants 211(64.7%0 were females, and 115(35.35) were males. 92 (28.2%) form the participants were good sleepers and 234 (71.8%) were poor sleepers, the prevalence of moderate to severe anxiety and depression in the participants was found 19.4%, 35.9% respectively. There was correlation between having poor sleep quality and depression among the participants.Conclusion: This study found that there is negative impact of the covid-19 lockdown on medical students, which we found that two thirds of the participants are poor sleepers with a predominance of the female gender among them, One third of the participants had moderate to severe depression which also affects the female more than the males and the junior students more than the seniors, Fifth of the participants had moderate to severe anxiety which affect both gender equally but it did affect the junior students more than the seniors.

scholarly journals Social Media Use, Unhealthy Lifestyles, and the Risk of Miscarriage Among Pregnant Women During the COVID-19 Pandemic: Prospective Observational Study

10.2196/25241 ◽  
2021 ◽  
Vol 7 (1) ◽  
pp. e25241
Author(s):  
Xiaotong Zhang ◽  
Jue Liu ◽  
Na Han ◽  
Jing Yin
Keyword(s):  
Physical Activity ◽  
Social Media ◽  
Sleep Quality ◽  
Pregnant Women ◽  
Dietary Diversity ◽  
Media Use ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Social Media Use ◽  
The Impact

Background The COVID-19 pandemic has resulted in changes to normal life and disrupted social and economic function worldwide. However, little is known about the impact of social media use, unhealthy lifestyles, and the risk of miscarriage among pregnant women during the COVID-19 pandemic. Objective This study aims to assess the association between social media use, unhealthy lifestyles, and the risk of miscarriage among pregnant women in the early stage of the COVID-19 pandemic in China. Methods In this prospective cohort study, 456 singleton pregnant women in mainland China were recruited during January and February 2020. Sociodemographic characteristics, history of previous health, social media use, and current lifestyles were collected at baseline, and we followed up about the occurrence of miscarriage. Log-binomial regression models were used to estimate the risk ratios (RRs) of miscarriage for women with different exposures to COVID-19–specific information. Results Among all the 456 pregnant women, there were 82 (18.0%) who did no physical activities, 82 (18.0%) with inadequate dietary diversity, 174 (38.2%) with poor sleep quality, and 54 (11.8%) spending >3 hours on reading COVID-19 news per day. Women with excessive media use (>3 hours) were more likely to be previously pregnant (P=.03), have no physical activity (P=.003), have inadequate dietary diversity (P=.03), and have poor sleep quality (P<.001). The prevalence of miscarriage was 16.0% (n=73; 95% CI 12.6%-19.4%). Compared with women who spent 0.5-2 hours (25/247, 10.1%) on reading COVID-19 news per day, miscarriage prevalence in women who spent <0.5 hours (5/23, 21.7%), 2-3 hours (26/132, 19.7%), and >3 hours (17/54, 31.5%) was higher (P<.001). Miscarriage prevalence was also higher in pregnant women with poor sleep quality (39/174, 22.4% vs 34/282, 12.1%; P=.003) and a high education level (66/368, 17.9% vs 7/88, 8.0%; P=.02). In the multivariable model, poor sleep quality (adjusted RR 2.06, 95% CI 1.24-3.44; P=.006), 2-3 hours of media use daily (adjusted RR 1.74, 95% CI 1.02-2.97; P=.04), and >3 hours of media use daily (adjusted RR 2.56, 95% CI 1.43-4.59; P=.002) were associated with miscarriage. In the sensitivity analysis, results were still stable. Conclusions Pregnant women with excessive media use were more likely to have no physical activity, inadequate dietary diversity, and poor sleep quality. Excessive media use and poor sleep quality were associated with a higher risk of miscarriage. Our findings highlight the importance of healthy lifestyles during the COVID-19 pandemic.

scholarly journals Social Media Use, Unhealthy Lifestyles, and the Risk of Miscarriage Among Pregnant Women During the COVID-19 Pandemic: Prospective Observational Study (Preprint)

2020 ◽  
Author(s):  
Xiaotong Zhang ◽  
Jue Liu ◽  
Na Han ◽  
Jing Yin
Keyword(s):  
Physical Activity ◽  
Social Media ◽  
Sleep Quality ◽  
Pregnant Women ◽  
Dietary Diversity ◽  
Media Use ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Social Media Use ◽  
The Impact

BACKGROUND The COVID-19 pandemic has resulted in changes to normal life and disrupted social and economic function worldwide. However, little is known about the impact of social media use, unhealthy lifestyles, and the risk of miscarriage among pregnant women during the COVID-19 pandemic. OBJECTIVE This study aims to assess the association between social media use, unhealthy lifestyles, and the risk of miscarriage among pregnant women in the early stage of the COVID-19 pandemic in China. METHODS In this prospective cohort study, 456 singleton pregnant women in mainland China were recruited during January and February 2020. Sociodemographic characteristics, history of previous health, social media use, and current lifestyles were collected at baseline, and we followed up about the occurrence of miscarriage. Log-binomial regression models were used to estimate the risk ratios (RRs) of miscarriage for women with different exposures to COVID-19–specific information. RESULTS Among all the 456 pregnant women, there were 82 (18.0%) who did no physical activities, 82 (18.0%) with inadequate dietary diversity, 174 (38.2%) with poor sleep quality, and 54 (11.8%) spending &gt;3 hours on reading COVID-19 news per day. Women with excessive media use (&gt;3 hours) were more likely to be previously pregnant (<i>P</i>=.03), have no physical activity (<i>P</i>=.003)<i>,</i> have inadequate dietary diversity (<i>P</i>=.03), and have poor sleep quality (<i>P</i>&lt;.001). The prevalence of miscarriage was 16.0% (n=73; 95% CI 12.6%-19.4%). Compared with women who spent 0.5-2 hours (25/247, 10.1%) on reading COVID-19 news per day, miscarriage prevalence in women who spent &lt;0.5 hours (5/23, 21.7%), 2-3 hours (26/132, 19.7%), and &gt;3 hours (17/54, 31.5%) was higher (<i>P</i>&lt;.001). Miscarriage prevalence was also higher in pregnant women with poor sleep quality (39/174, 22.4% vs 34/282, 12.1%; <i>P</i>=.003) and a high education level (66/368, 17.9% vs 7/88, 8.0%; <i>P</i>=.02). In the multivariable model, poor sleep quality (adjusted RR 2.06, 95% CI 1.24-3.44; <i>P</i>=.006), 2-3 hours of media use daily (adjusted RR 1.74, 95% CI 1.02-2.97; <i>P</i>=.04), and &gt;3 hours of media use daily (adjusted RR 2.56, 95% CI 1.43-4.59; <i>P</i>=.002) were associated with miscarriage. In the sensitivity analysis, results were still stable. CONCLUSIONS Pregnant women with excessive media use were more likely to have no physical activity, inadequate dietary diversity, and poor sleep quality. Excessive media use and poor sleep quality were associated with a higher risk of miscarriage. Our findings highlight the importance of healthy lifestyles during the COVID-19 pandemic.

Impression of Twitter and Whatsapp on Sleep Quality Among Nursing Students In Indonesia

2020 ◽  
Vol 4 (2) ◽  
pp. 125
Author(s):  
Yosi Maria Wijaya ◽  
Fransiskus Xaverius Widiantoro
Keyword(s):  
Social Media ◽  
Nursing Students ◽  
Sleep Quality ◽  
Survey Design ◽  
Poor Quality ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Poor Sleep Quality ◽  
The Impact

Introduction: The widely used social media by mobile-platform, which makes communication easier, faster, enhance effective flow of information. However, it may have the potential negative effect in quality of sleep in nursing students. The purpose of this study was to examined the impact of using social media and identified predictors of poor sleep quality among nursing students. Methods: A school-based survey design was conducted. Totally, 264 students at school of health sciences in West Java with usage social media platform were participated in this study. The extensive self-administered questionnaires were used to assess extent of using social media and the Pittsburgh Sleep Quality Index. Logistic regression analysis by a backward-stepwise technique was used to determine predictors of poor sleep quality. Results: One out of two nursing students (59.5 %) used both Instagram and WhatsApp, mostly at nights (59.8%), and more than 4-hour daily (19.3%). Majority nursing students (94.3%) have poor quality of sleep. Quality of sleep was differed significantly in bachelor students (p=0.03) in 8th semester (p = 0.006). Younger nursing students (β = 0.025, p = 0.021, 95% CI 0.001-0.566) who use social media less than 3-month (β = .019, p = 0.001, 95% CI 0.002-0.212), mostly during weekends and in 8th semester (β = 41.32, p = 0.018, 95% CI 1.902-897.73) were predictor of poorer sleep quality. Conclusion: Findings indicated a strong need for integrating sleep quality education and provide health-education to promote correct and effective use of social networks to minimize possible side effects in nursing students.

scholarly journals Left superior temporal sulcus morphometry mediates the impact of anxiety and depressive symptoms on sleep quality in healthy adults

2021 ◽  
Author(s):  
Yanlin Wang ◽  
Ping Jiang ◽  
Shi Tang ◽  
Lu Lu ◽  
Xuan Bu ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Sleep Quality ◽  
Sleep Problems ◽  
Superior Temporal Sulcus ◽  
Healthy Adults ◽  
Poor Sleep ◽  
Emotional Symptoms ◽  
Neural Basis ◽  
Poor Sleep Quality ◽  
The Impact

Abstract Anxiety and depressive symptoms may predispose individuals to sleep disturbance. Understanding how these emotional symptoms affect sleep quality, especially the underlying neural basis, could support the development of effective treatment. The aims of the present study were therefore to investigate potential changes in brain morphometry associated with poor sleep quality and whether this structure played a mediating role between the emotional symptoms and sleep quality. One hundred and forty-one healthy adults (69 women, mean age = 26.06 years, SD = 6.36 years) were recruited. A structural magnetic resonance imaging investigation was performed, and self-reported measures of anxiety, depressive symptoms and sleep quality were obtained for each participant. Whole-brain regression analysis revealed that worse sleep quality was associated with thinner cortex in left superior temporal sulcus (STS). Furthermore, the thickness of left STS mediated the association between the emotional symptoms and sleep quality. A subsequent commonality analysis showed that physiological component of the depressive symptoms had the greatest influence on sleep quality. In conclusion, thinner cortex in left STS may represent a neural substrate for the association between anxiety and depressive symptoms and poor sleep quality and may thus serve as a potential target for neuromodulatory treatment of sleep problems.

scholarly journals 1142 Comprehensive Phenotyping Of Ambulatory Sleep Patterns In Multiple Sclerosis

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A435-A435
Author(s):  
T J Braley ◽  
A L Kratz ◽  
D Whibley ◽  
C Goldstein
Keyword(s):  
Multiple Sclerosis ◽  
Sleep Quality ◽  
Extreme Values ◽  
Sleep Onset ◽  
External Support ◽  
Poor Sleep ◽  
Sleep Patterns ◽  
Poor Sleep Quality ◽  
Historical Cohort ◽  
The Impact

Abstract Introduction The majority of sleep research in persons with multiple sclerosis (PwMS) has been siloed, restricted to evaluation of one or a few sleep measures in isolation. To fully characterize the impact of sleep disturbances in MS, multifaceted phenotyping of sleep is required. The objective of this study was to more comprehensively quantify sleep in PwMS, using a recently developed multi-domain framework of duration, continuity, regularity, sleepiness/alertness, and quality. Methods Data were derived from a parent study that examined associations between actigraphy and polysomnography-based measures of sleep and cognitive function in MS. Actigraphy was recorded in n=55 PwMS for 7-12 days (Actiwatch2®, Philips Respironics). Sleep metrics included: duration=mean total sleep time (TST, minutes); continuity=mean wake time after sleep onset (minutes), and regularity=stddev wake-up time (hours). ‘Extreme’ values for continuity/regularity were defined as the most extreme third of the distributions. ‘Extreme’ TST values were defined as the lowest or highest sixth of the distributions. Sleepiness (Epworth Sleepiness Scale score) and sleep quality [Pittsburgh Sleep Quality Index (PSQI) sleep quality item] were dichotomized by accepted cutoffs (&gt;10 and &gt;1, respectively). Results Sleep was recorded for a mean of 8.2 days (stddev=0.95). Median (1st, 3rd quartile) values were as follows: duration 459.79 (430.75, 490.60), continuity 37.00 (23.44, 52.57), regularity 1.02 (0.75, 1.32), sleepiness/alertness 8 (4, 12), and sleep quality 1.00 (1.00, 2.00). Extreme values based on data distributions were: short sleep &lt;=426.25 minutes (18%), long sleep &gt;515.5 minutes (16%), poor sleep continuity ≥45 minutes (33%), and poor sleep regularity ≥1.17 hours (33%). Sleepiness and poor sleep quality were present in 36% and 40% respectively. For comparison, in a historical cohort of non-MS patients, the extreme third of sleep regularity was a stddev of 0.75 hours, 13% had ESS of &gt;10, and 16% had poor sleep quality. Conclusion In this study of ambulatory sleep patterns in PwMS, we found greater irregularity of sleep-wake timing, and higher prevalence of sleepiness and poor sleep quality than published normative data. Efforts should be made to include these measures in the assessment of sleep-related contributions to MS outcomes. Support The authors received no external support for this work.

scholarly journals Age Variations in Perceived COVID-19 Threats, Negative Impacts, and Associations with Well-Being

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 933-933
Author(s):  
Tara Gruenewald ◽  
Anthony Ong ◽  
Danielle Zahn
Keyword(s):  
Sleep Quality ◽  
Disease Severity ◽  
Negative Impact ◽  
Well Being ◽  
Poor Sleep ◽  
Older Individuals ◽  
Poor Sleep Quality ◽  
Age Variations ◽  
Age Variation ◽  
Negative Impacts

Abstract The COVID-19 pandemic represents an unprecedented threat to individual and public health, psychosocial, and economic well-being, although COVID-19 threats and impacts may vary by age and other demographic characteristics. Although greater age is a risk factor for greater COVID-19 disease severity, we know little about the association between age and perceived and experienced COVID-19 threats and their association to well-being. These associations were examined in an ongoing 3-wave investigation of over 1,700 U.S. adults (age 18-89; 53.1% female). Wave 1 analyses indicate no significant age variation in perceived threat of COVID-19 infection, with older and younger individuals reporting similar levels of COVID-19 infection threat. However, greater age was associated with lower perceived negative impact on financial and needed resources (r=-.10**), lower perceptions of COVID-19 induced harm to mental well-being (r=-.17**), and more favorable well-being profiles. Greater perceived COVID-19 threat and negative impact on resources and well-being were linked to greater feelings of stress (β’s=.45 to .68***), loneliness (β’s=.24 to .49***), social well-being (β’s=-.19 to -.36***), and poor sleep quality (β’s=.34 to .51***). These associations did not vary with age with the exception that older individuals showed stronger links between COVID-19 threat and impacts and poorer sleep quality. Ongoing analyses are examining whether these associations persist over time. Despite older adults’ greater risk of COVID-19 disease severity and mortality, older age did not appear to be linked to greater perceived COVID-19 threat or impacts, nor linkages to ill-being, with the possible exception of potential greater vulnerability to poor sleep quality.

scholarly journals The impact of social media on business growth and performance in India

2019 ◽  
Vol 9 (4) ◽  
pp. 190-194
Author(s):  
BALUSAMY S ◽  
VENKATASUBRAMANIAM A ◽  
GIRI N
Keyword(s):  
Social Media ◽  
Social Presence ◽  
Business Performance ◽  
Positive Impact ◽  
Positive Influence ◽  
Communication Techniques ◽  
Essential Tool ◽  
And Performance ◽  
Scalable Communication ◽  
The Impact

Until the late 1990’s the only form of media known to businesses were television, newspapers and radio, however in the early 2000s, a revolution in media was witnessed and the world was introduced to Social Media. Social Media is a just like any other Form of media is a tool used for communication but at the larger scale for social interaction using highly accessible and scalable Communication techniques. Social media has a positive impact and a positive influence on the company as well as the customers. Social media is becoming an essential tool for marketers, which is at a very minimum investment. In today’s’ scenario consumers judge a company based on their online presence, hence companies can innovate and simultaneously create a strong social presence by always catering to their customers’ needs and concerns.Internationally, companies have adopted Social Media as an essential tool for their marketing campaign; however the same is not adapted in India to a large extent. What are the benefits of Social media? What are the examples of Social media? This study understands the benefits,impact and importance of Social Media on business performance and growth.

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