scholarly journals Social Media Use and Sleep Quality among Adults: The Role of Gender, Age and Social Media Checking Habit

2019 ◽  
Author(s):  
Liese Exelmans ◽  
Holly Scott
Keyword(s):  
Social Media ◽  
Sleep Quality ◽  
Technology Use ◽  
Online Survey ◽  
Media Use ◽  
Poor Sleep ◽  
Social Media Use ◽  
Survey Results ◽  
The Difference

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.

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.

scholarly journals COVID-19 Stress and Addictive Social Media Use (SMU): Mediating Role of Active Use and Social Media Flow

2021 ◽  
Vol 12 ◽  
Author(s):  
Nan Zhao ◽  
Guangyu Zhou
Keyword(s):  
Social Media ◽  
Online Survey ◽  
Media Use ◽  
Self Report ◽  
Social Media Use ◽  
Chinese College Students ◽  
Mediating Role ◽  
Increased Risk ◽  
Self Report Data

The ongoing COVID-19 pandemic is likely to enhance the risk of addictive social media use (SMU) as people spend more time online maintaining connectivity when face-to-face communication is limited. Stress is assumed to be a critical predictor of addictive SMU. However, the mechanisms underlying the association between stress and addictive SMU in crises like the current COVID-19 situation remain unclear. The present study aimed to understand the relationship between COVID-19 stress and addictive SMU by examining the mediating role of active use and social media flow (i.e., an intensive, enjoyable experience generated by SMU that perpetuates media use behaviors). A sample of 512 Chinese college students (Mage = 22.12 years, SD = 2.47; 62.5% women) provided self-report data on COVID-19 stress and SMU variables (i.e., time, active use, flow, addictive behavior) via an online survey from March 24 to April 1, 2020. The results showed that COVID-19 stress was positively associated with tendencies toward addictive SMU. Path analyses revealed that this relationship was significantly serially mediated by active use and social media flow, with SMU time being controlled. Our findings suggest that individuals who experience more COVID-19 stress are at increased risk of addictive SMU that may be fostered by active use and flow experience. Specific attention should be paid to these high-risk populations and future interventions to reduce addictive SMU could consider targeting factors of both active use and social media flow.

Blurring the Boundaries

2017 ◽  
Vol 7 (1) ◽  
pp. 1-14
Author(s):  
Julie A Delello ◽  
Kouider Mokhtari
Keyword(s):  
Higher Education ◽  
Social Media ◽  
Mixed Methods ◽  
Student Perceptions ◽  
Online Survey ◽  
Media Use ◽  
Mixed Methods Study ◽  
Social Media Use ◽  
Use Of Social Media

This article reports the results of a mixed methods study aimed at exploring faculty and student perceptions regarding the use of social media in the higher education classroom. Two groups of faculty (n = 50) and students (n = 396) voluntarily responded to an online survey consisting of a mix of close and open-ended questions pertaining to their perceptions of social media use inside and outside the classroom. Key findings revealed that among faculty (52%) and students (23%) see social media as a distraction. In addition, contrary to prior research indicating that interpersonal boundaries between faculty and students are shifting as people become more connected via social media, only 17% of students and 29% of faculty reported forming social media friendships outside of the classroom. These findings are discussed in light of extant research on the use of social media along with implications for the role of social media in the higher education classroom.

Wired and Tired: Associations between social media, bedtime technology-use rules, and daytime sleepiness among adolescents (Preprint)

2020 ◽  
Author(s):  
Jessica Hamilton ◽  
Woanjun Lee
Keyword(s):  
Social Media ◽  
Social Interactions ◽  
Technology Use ◽  
Daytime Sleepiness ◽  
Media Use ◽  
The United States ◽  
Poor Sleep ◽  
Social Media Use ◽  
Perceived Importance ◽  
Social Affordances

BACKGROUND Social media use is associated with poor sleep among adolescents, including daytime sleepiness, which impacts adolescents’ physical and mental health. Less research has examined whether specific social media behaviors, such as checking and posting, and adolescents’ perceived importance of social media for social purposes are associated with sleepiness. Identifying whether certain adolescents are more at risk or protected from the effects of SM on sleepiness than others may inform future interventions around sleep and social media. OBJECTIVE The study aimed to examine the association between social media use frequency and importance and daytime sleepiness, and whether perceived importance of social media for social interactions and parental rules around bedtime technology exacerbated these relationships. METHODS This cross-sectional, survey study was conducted with a sample of 4,153 adolescents from across the United States. Qualtrics was used to collect data via panel recruitment from a national sample representing the US demographics of teens aged 12-17 years old. Participants completed measures of daytime sleepiness, frequency of social media checking and posting, and importance of social media for social interactions. Parents reported whether they had a household rule around bedtime media/screen use. Hierarchical regressions and moderation analyses were conducted, covarying for age, gender, and age of first smartphone. RESULTS Participants had a mean age of 14.64 (SD 1.66) years in grades 6-12, and 46% identified as female and 68% as White. Results indicated that adolescents who posted (B = .70, SE = .04, p <.001) or checked (B = .76, SE = .04, p <.001) on social media more frequently or who perceived social media to be more important for social affordances (B = .36, SE = .02, p <.001) were more likely to have daytime sleepiness. Moderation analyses indicated that the relationship between social media frequency and importance and daytime sleepiness was exacerbated by higher levels of perceived social media importance (B = .04, SE = .01, p <.001) and for those who did not have household rules around bedtime technology use (Frequency: B = -.34, SE = .09, p <.001; Importance: B = -.16, SE = .04, p <.001) . CONCLUSIONS Findings suggest that adolescents who use social media more frequently and perceive social media to be more important for social interactions are more likely to have daytime sleepiness. Adolescents with more social media use are more likely to be affected if SM is more important for social affordances, or if their parents did not have household rules around bedtime technology use. Findings may guide future prevention and intervention programs designed to reduce daytime sleepiness, particularly focused on social media behaviors and bedtime technology rules.

scholarly journals Understanding the buffering effect of social media use on anxiety during the COVID-19 pandemic lockdown

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Yousri Marzouki ◽  
Fatimah Salem Aldossari ◽  
Giuseppe A. Veltri
Keyword(s):  
Social Media ◽  
Functional Role ◽  
Online Survey ◽  
Media Use ◽  
Positive Perception ◽  
Social Media Use ◽  
Cross Sectional ◽  
Cross Sectional Design ◽  
Collective Resilience

AbstractDuring the COVID-19 outbreak, lockdown measures have been deployed worldwide. In the wake of these measures, internet and social media use has reached unprecedented peaks. We hypothesize that social media can, in the context of the pandemic, be a placeholder for collective resilient processes modulated by cognitive and emotional components. An online survey (N = 1408) using a cross-sectional design was carried out over nine weeks from the beginning of March 2020 to the end of May 2020. The triangulation via SEM statistical modeling, text mining, and sentiment, discriminant, and entropy analyses revealed the granular functional role of social media use in promoting a positive perception towards stressors during the pandemic. This study provides an empirically tested theoretical framework to understand the evolution of buffering mechanisms of social media use as a result of collective resilience. Recommendations on social media use for future lockdown scenarios were provided.

Assessing the contribution of the Index of Nighttime Offline Distress: an investigation of social media's impact on adolescent sleep quality

2020 ◽  
Author(s):  
Mhairi London ◽  
Holly Scott ◽  
Heather Woods
Keyword(s):  
Social Media ◽  
Sleep Quality ◽  
Goodness Of Fit ◽  
Online Survey ◽  
Media Use ◽  
Future Research ◽  
Developmental Phase ◽  
Social Media Use ◽  
Self Reporting Questionnaire ◽  
Research And Policy

Adolescence is characterized by substantial biological, emotional, and, importantly, social change. This has led to interest into the links between adolescent social media use and sleep, which is crucial during this developmental phase. In much research, however, the measures used are inadequate at properly quantifying adolescents’ unique relationship to social media. The Index of Nighttime Offline Distress (iNOD), conversely, is a new self-reporting questionnaire that captures why adolescents feel difficulty trying to engage from social media at night. Scottish adolescents (N&gt;3000) took an online survey that included the iNOD, as well as other measures of social media use that we argue fail to capture its unique affordances. To assess if the iNOD is an effective and relevant measure of social media use, various regression models of the different measures were built and compared. After analysis of goodness-of-fit and predictor dominance, we concluded that inclusion of the iNOD does explain more variance in sleep quality when compared to the other measures on their own. A brief introductory analysis into the effect of age was also conducted, finding that adolescents of various ages use social media for different purposes. We hope that our findings help show that the context of adolescent social media use is important and that there is evident diversity across the population. To best understand adolescent social media use and its impact on sleep, future research and policy should approach this relationship from a holistic, multifaceted direction, rather than viewing social media as solely a quantifiable techno-centric activity.

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