#Sleepyteens: Social media use in adolescence is associated with poor sleep quality, anxiety, depression and low self-esteem

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.

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

10.2196/preprints.25241 ◽

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 >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.

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

10.31234/osf.io/eqxdh ◽

2019 ◽

Cited By ~ 3

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.

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

Clinical Journal of Sport Medicine ◽

10.1097/jsm.0000000000000964 ◽

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

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The Relationship between Social Media Use and Cognitive Failures, Sleep Quality of Middle and Primary School Security Guard

Advances in Psychology ◽

10.12677/ap.2018.87111 ◽

2018 ◽

Vol 08 (07) ◽

pp. 926-932

Author(s):

瑶秦

Keyword(s):

Social Media ◽

Sleep Quality ◽

Primary School ◽

Media Use ◽

School Security ◽

Social Media Use ◽

Security Guard ◽

Cognitive Failures ◽

The Relationship

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Determining the relation between social media use and sleep quality in university students in Turkey

European Journal of Public Health ◽

10.1093/eurpub/ckw174.093 ◽

2016 ◽

Vol 26 (suppl_1) ◽

Author(s):

D Seyitoglu ◽

G Gunes

Keyword(s):

Social Media ◽

University Students ◽

Sleep Quality ◽

Media Use ◽

Social Media Use

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The relationship between sleep quality, fatigue and psychological wellbeing amongst primary carers for those with brain injury

10.31234/osf.io/wmnc8 ◽

2018 ◽

Author(s):

Maria Gardani

Keyword(s):

Brain Injury ◽

Sleep Quality ◽

Sleep Disturbances ◽

Depression Scale ◽

Psychological Wellbeing ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Perceived Burden ◽

Fatigue Severity ◽

Anxiety Depression

Objectives: The study aimed to investigate possible mediating factors that contribute to poor sleep quality in carers for those with brain injury (BI). More specifically, whether fatigue, anxiety, depression and perceived burden were associated with and/or predicted poor sleep in carers of those with brain injury. Methods: A cross-sectional correlational design was utilised. The Pittsburgh Sleep Quality Index (PSQI), Hospital Anxiety Depression Scale (HADS) Fatigue Severity Scale (FSS), Zarit Buren Interview Short (ZBI-12) were completed by 237 carers of people with BI to assess sleep quality, psychological wellbeing and fatigue. Results: Carers demonstrated elevated levels of poor sleep quality, fatigue and poor psychological wellbeing. The results indicated there was a significant relationship between anxiety, depression, perceived burden, fatigue severity and sleep quality. Multiple regression analysis revealed that anxiety, depression, fatigue and burden explained 31.8% of variance in sleep quality. Depression and fatigue were significant predictors of sleep quality with fatigue symptomology being the strongest predictor of poor sleep amongst carers. Conclusion: Psychological wellbeing, perceived burden and fatigue are associated with sleep disturbances in carers with fatigue and depression predicting poor sleep quality. These results provide insight into an under-researched area and emphasise the necessity for support provisions which aim to improve sleep hygiene practices, improve psychological wellbeing and fatigue symptomology.

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The Moderating Role of Social Network Size on Social Media Use and Self-Esteem: An Evolutionary Mismatch Perspective

Frontiers in Psychology ◽

10.3389/fpsyg.2021.734206 ◽

2021 ◽

Vol 12 ◽

Author(s):

Amy J. Lim ◽

Clement Lau ◽

Norman P. Li

Keyword(s):

Social Media ◽

Social Network ◽

Social Comparison ◽

Media Use ◽

Self Esteem ◽

Network Size ◽

Social Media Use ◽

Evolutionary Mismatch ◽

Social Network Size ◽

The Relationship

Existing meta-analyses have shown that the relationship between social media use and self-esteem is negative, but at very small effect sizes, suggesting the presence of moderators that change the relationship between social media use and self-esteem. Employing principles from social comparison and evolutionary mismatch theories, we propose that the social network sizes one has on social media play a key role in the relationship between social media use and self-esteem. In our study (N = 123), we showed that social media use was negatively related to self-esteem, but only when their social network size was within an evolutionarily familiar level. Social media use was not related to self-esteem when people’s social networks were at evolutionarily novel sizes. The data supported both social comparison and evolutionary mismatch theories and elucidated the small effect size found for the relationship between social media use and self-esteem in current literature. More critically, the findings of this study highlight the need to consider evolutionarily novel stimuli that are present on social media to better understand the behaviors of people in this social environment.

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The association between perceived stress with sleep quality, insomnia, anxiety and depression in kidney transplant recipients during Covid-19 pandemic

PLoS ONE ◽

10.1371/journal.pone.0248117 ◽

2021 ◽

Vol 16 (3) ◽

pp. e0248117

Author(s):

Dilek Barutcu Atas ◽

Esra Aydin Sunbul ◽

Arzu Velioglu ◽

Serhan Tuglular

Keyword(s):

Sleep Quality ◽

Kidney Transplant ◽

Perceived Stress ◽

Independent Predictor ◽

Anxiety And Depression ◽

Poor Sleep ◽

Transplant Recipients ◽

Kidney Transplant Recipients ◽

Poor Sleep Quality ◽

Anxiety Depression

Background The psychological distress and sleep problems caused by current Covid-19 outbreak is not well known in kidney transplant recipients. In this study, we aimed to investigate the association between perceived stress with sleep quality, insomnia, anxiety, depression and kidney function in kidney transplant recipients during the Covid-19 pandemic. Material and methods A hundred-six kidney transplant recipients were enrolled. Questionnaire of "Socio-demographics", "Perceived Stress Scale (PSS)", "Pittsburgh Sleep Quality Index (PSQI)", "Insomnia Severity Index (ISI)" and “Hospital Anxiety Depression Scale (HADS)” are performed. The laboratory data is recorded. The perceived stress related to Covid-19 pandemic and its associations were investigated. Results The mean age of patients was 44.2±13.3 years, and 65 of the patients (61.3%) were men. Forty-nine (46.2%) of the patients had high-perceived stress; 51 (48.1%) of the patients had poor sleep quality, 40 (37.7%) of the patients had insomnia, 25 (23.6%) of the patients had anxiety and 47 (44.3%) of the patients had depression. The patients having a history of Covid-19 infection in own or closed relatives (9.09±4.17 vs 6.49±4.16, p:0.014) and the patients who have a rejection episode any of time (8.24±5.16 vs 6.37±3.57, p:0.033) have had significantly higher anxiety scores, when they compared to others. The high PSS were positively correlated with PSQI, ISI, HAD-A and HAD-D. Regression analyses revealed that high-perceived stress is an independent predictor of anxiety and depression. There was not significant difference between kidney function with PSS, PSQI, ISI, HAD-A and HAD-D. Conclusions High PSS is positively correlated with poor sleep quality and insomnia and also an independent predictor of anxiety and depression in kidney transplant recipients during the outbreak of Covid-19. As the pandemic is still spreading worldwide quickly early identification and intervention of sleep disturbances and psychiatric disorders are essential to protect graft function with high compliance to treatment in transplantation patients.

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