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 ◽  
...  
2021 ◽  
Vol 25 (6) ◽  
pp. 683-704
Author(s):  
Michelle Hayes ◽  
Kevin Filo ◽  
Caroline Riot ◽  
Andrea N. Geurin

Sport organizations regulate athletes' use of social media for many reasons including the protection of the organization's reputation. Several strategies have been introduced to minimize issues related to the negative consequences athlete social media use may present, yet whether these strategies also work to address social media distractions experienced by athletes during major sport events is not well known. Utilizing communication privacy management (CPM) theory, the purpose of the current research was to examine the aspects of social media that sport administrators perceive to be distracting to athletes and what support and management mechanisms are utilized to address such concerns during major sport events. Semistructured interviews ( N = 7) with Australian national sport organization (NSO) administrators were conducted. Sport administrators reported several aspects of social media that are perceived to distract athletes including personal and performance criticism and a fixation with social media profiles. Social media could also be used to manage athlete temperament. As a result, organizations highlighted both proactive and reactive communication boundaries and mechanisms that could be used to address concerns including content restrictions, best practice case studies, engaging in conversations, and monitoring. Opportunities for sport practitioners are described including conducting consultation sessions with athletes to better understand their needs regarding their social media use.


2019 ◽  
Author(s):  
Liese Exelmans ◽  
Holly Scott

This study expands knowledge on the effects of technology use on sleep by (1) focusing onsocial media use in an adult sample, (2) investigating the difference between overall andnighttime-specific social media use with regards to sleep, and (3) exploring a vulnerabilityperspective. For the latter, the moderating roles of gender, age, and habitual social mediachecking behavior were examined. A representative quota sample of 584 adults (18-96 yearsold) participated in an online survey. Results indicated that 2 out of 3 adults used socialmedia, and that use both shortly before and in bed was prevalent. Only nighttime use wasassociated with poorer sleep quality. Age and habitual checking behavior moderated thisassociation, identifying younger adults and those with strong checking habits as possiblevulnerable groups for poor sleep. The findings are interpreted in light of existing research onmedia habits and problematic (social) media use.


10.2196/25241 ◽  
2021 ◽  
Vol 7 (1) ◽  
pp. e25241
Author(s):  
Xiaotong Zhang ◽  
Jue Liu ◽  
Na Han ◽  
Jing Yin

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.


2021 ◽  
Vol 56 ◽  
pp. 101414
Author(s):  
Rea Alonzo ◽  
Junayd Hussain ◽  
Saverio Stranges ◽  
Kelly K. Anderson

2022 ◽  
Vol 100 ◽  
pp. 127-144
Author(s):  
Nawar N. Chaker ◽  
Edward L. Nowlin ◽  
Maxwell T. Pivonka ◽  
Omar S. Itani ◽  
Raj Agnihotri

2018 ◽  
Vol 29 (1) ◽  
pp. 157-161 ◽  
Author(s):  
Abdulaziz Alsulami ◽  
Dena Bakhsh ◽  
Maryam Baik ◽  
Malek Merdad ◽  
Nawaf Aboalfaraj

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A77-A78
Author(s):  
A Porro ◽  
T Luster ◽  
C Gao ◽  
C George ◽  
M Parizi-Robinson ◽  
...  

Abstract Introduction A delay in endogenous biological rhythms is assumed to cause undergraduate students to be “night owls,” but neurodevelopmental effects may only partially explain chronotype (circadian preference). Instead, perceived chronotype in students may result from poor sleep hygiene practices including bedtime social media use, afternoon caffeine consumption, and daytime napping. If so, then chronotype should be malleable in students to the extent that behavioral choices change. Methods We surveyed 1,120 undergraduate students who were enrolled in STEM courses across up to 3 time points during the semester. The survey assessed perceived chronotype (morning/evening type), global sleep quality, and daily habits that impact alertness and sleep hygiene (e.g., social media usage and timing, caffeine consumption and timing, and napping behavior). Results Relative to Morning Types, students who perceived themselves as being Evening Types showed 23.1% greater bedtime social media usage (t=3.14, p=.002), 35.1% greater daytime napping duration (t=4.44, p&lt;.001), and a 44 minute later average time of caffeine consumption (even though total caffeine consumption was reduced; t=2.30, p=.022). Evening Types also reported lower subjective health (t=3.55, p&lt;.001), with 14.2% of the association between chronotype and subjective health being mediated by bedtime social media use (direct effect: b=0.050, p=.002; indirect effect: b=0.009, p&lt;.05). Ninety-one students reported switching from being Evening Types at baseline to Morning Types at a later survey; those who switched to Morning Types used less social media and consumed less caffeine after 5pm and they showed significant improvements across the semester in sleep duration, sleep quality, and exam scores (ps&lt;.05). Conclusion Perceived chronotype is related to social media and caffeine consumption behaviors and is modifiable. Students who perceive themselves as night owls may find better health and academic success if they behave like morning larks. Support National Science Foundation (DRL 1920730)


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