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 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 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 Problematic Smartphone and Social Media Use Among Bangladeshi College and University Students Amid COVID-19: The Role of Psychological Well-Being and Pandemic Related Factors

2021 ◽  
Vol 12 ◽  
Author(s):  
Md. Saiful Islam ◽  
Md. Safaet Hossain Sujan ◽  
Rafia Tasnim ◽  
Rashenda Aziz Mohona ◽  
Most. Zannatul Ferdous ◽  
...  
Keyword(s):  
Social Media ◽  
University Students ◽  
Media Use ◽  
Well Being ◽  
Anxiety And Depression ◽  
Poor Sleep ◽  
Social Media Use ◽  
Psychological Well Being ◽  
College And University ◽  
The Impact

Background: Smartphone and social media use are an integral part of our daily life. Currently, the impact of excessive smartphone and social media use during the COVID-19 pandemic is poorly understood. The present study aimed to investigate problematic smartphone use (PSPU) and problematic social media use (PSMU) among Bangladeshi college and university students during the COVID-19 pandemic.Methods: A cross-sectional study was carried out involving 5,511 Bangladeshi college and university students (male: 58.9%; mean age: 21.2 years [SD = 1.7]; age range: 18–25) during the social-distancing in the COVID-19 pandemic (July 2020). A self-reported survey containing questions regarding socio-demographic, lifestyle, and home quarantine activities along with four psychometric scales was completed by participants.Results: The mean scores of PSPU and PSMU were 20.8 ± 6.8 (out of 36) and 14.7 ± 4.8 (out of 30). Based on a hierarchical regression analysis, PSPU and PSMU were positively associated with lower age, poor sleep, social media use, watching television, anxiety, and depression. Additionally, PSMU was linked to being female, living with nuclear family, having urban residence, irregular physical exercise, poor engagement with academic studies, and avoiding earning activities, whilst being male, being married, living with lower-income family, and alcohol consumption were linked to PSMU.Conclusions: The findings indicate that PSPU and PSMU were linked to poor psychological well-being (i.e., anxiety and depression) and other factors (especially lower age, poor sleep) during the pandemic, further suggesting the need for interventions including virtual awareness programs among college and university students.

scholarly journals THE IMPACT OF SOCIAL MEDIA ON BODY COMPARISON TENDENCY, BODY-ESTEEM AND SLEEP QUALITY AMONG FEMALE STUDENTS IN A PRIVATE UNIVERSITY IN SHAH ALAM/ MALAYSIA

2020 ◽  
Vol 2 (2) ◽  
pp. 229-234
Keyword(s):  
Social Media ◽  
Sleep Quality ◽  
Media Use ◽  
Body Esteem ◽  
Private University ◽  
Female Students ◽  
The Body ◽  
Social Media Use ◽  
The Impact ◽  
Body Comparison

Introduction: Based on many studies probing the spectrums of social media, it has become evident that social media has changed a variety of human interactive activities such as communication, shopping, source of influence on perception, and even search for knowledge. The study aims to find the relationship between social media usage with the body comparison tendency, body esteem levels, and sleep quality. Methodology: a cross-sectional study design using quantitative data conducted among female students of a private university with a sample size of 267 and using a self-administered questionnaire for data collection. A convenience sampling was used from different faculties of the university. Results: It was found that excessive use of social media significantly predicted that participants engage in body comparison behaviours P<?0.001. It was also found that social media use influenced body esteem levels significantly. Higher social media use influences sleep quality significantly, as well. Conclusion: The results showed that social media use for more than 3 hours had a significant impact on body comparison tendencies among those female university students. It was also concluded that body esteem levels among those that fell into this category who used social media for more than 3 hours were lower compared to those who used social media for lesser than 3 hours in general. In evaluating the impact of social media on sleep quality, it was found that nearly half is at high risk of suffering from insomnia or sleep-related disorders.

scholarly journals THE IMPACT OF BEDTIME COMPULSIVE SOCIAL MEDIA USE ON STUDENTS’ QUALITY OF SLEEP IN THE COPPERBELT COLLEGES OF EDUCATION, ZAMBIA

2021 ◽  
pp. 24-33
Author(s):  
Akakandelwa Akakandelwa ◽  
Harry Jordan Silomba
Keyword(s):  
College Students ◽  
Social Media ◽  
Sleep Quality ◽  
Media Use ◽  
Colleges Of Education ◽  
Quality Of Sleep ◽  
Negative Effects ◽  
Social Media Use ◽  
The Impact

This study investigated the relationship between bedtime Compulsive Social Media Use (CSMU) on students' sleep quality in the Copperbelt Colleges of Education, Zambia. Mixed method was utilised to solicit data from a sample of five hundred and seventy-nine (579) college students who were drawn from three (3) public and three (3) private colleges. Bergen Social Media Addiction Scale (BSMAS) and Pittsburgh Sleep Quality Index (PSQI) scale were utilised for data collection. Quantitative data were analysed using Statistical Package for the Social Science, whereas qualitative data was analysed using thematic analysis. Findings showed provision of pleasure as motive that compiled students to use social media during bedtime. Besides, it was established that students were spending less than 8 hours of sleep. However, the negative correlation between CSMU and sleep quality was evident. Therefore, the study recommends that college managements should conduct awareness programs to educate students on the negative effects of excessive usage of social media, particularly during bedtime. KEY WORDS: Bedtime; Social Media; College Students; Quality of Sleep; Copperbelt Zambia.

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 The effect of long-term poor sleep quality on risk of back-related disability and the modifying role of physical activity

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Eivind Schjelderup Skarpsno ◽  
Tom Ivar Lund Nilsen ◽  
Paul Jarle Mork
Keyword(s):  
Physical Activity ◽  
Back Pain ◽  
Sleep Quality ◽  
Sleep Problems ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Physical Activity Guidelines ◽  
Adjusted Risk ◽  
Increased Risk

AbstractSleep problems and regular leisure time physical activity (LTPA) are interrelated and have contrasting effects on risk of back pain. However, no studies have investigated the influence of long-term poor sleep quality on risk of back-related disability, or if LTPA modifies this association. The study comprised data on 8601 people who participated in three consecutive surveys over ~ 22 years, and who reported no chronic back pain at the two first surveys. Adjusted risk ratios (RRs) for back-related disability were calculated at the last survey, associated with the joint effect of changes in sleep quality between the two first surveys and meeting physical activity guidelines at the second survey. Compared to people with long-term good sleep, people with long-term poor sleep had nearly twice the risk of back-related disability (RR 1.92, 95% CI 1.48–2.49). There was no statistical interaction between sleep and LTPA but people who reported long-term poor sleep and meeting the physical activity guidelines had 35% lower risk of back-related disability compared to people with same level of sleep problems, but who not met the guidelines. These findings suggest that long-term poor sleep quality contributes to a substantially increased risk of chronic and disabling back pain irrespective of LTPA.

Sign in / Sign up

Export Citation Format

Share Document