scholarly journals Influence of a 30-Day Slow-Paced Breathing Intervention Compared to Social Media Use on Subjective Sleep Quality and Cardiac Vagal Activity

2019 ◽  
Vol 8 (2) ◽  
pp. 193 ◽  
Author(s):  
Sylvain Laborde ◽  
Thomas Hosang ◽  
Emma Mosley ◽  
Fabrice Dosseville

Breathing techniques are part of traditional relaxation methods; however, their influence on psychophysiological variables related to sleep is still unclear. Consequently, the aim of this paper was to investigate the influence of a 30-day slow-paced breathing intervention compared to social media use on subjective sleep quality and cardiac vagal activity (CVA, operationalized via high-frequency heart rate variability). Healthy participants (n = 64, 33 male, 31 female, M = 22.11, SD = 3.12) were randomly allocated to an experimental or control group. In the experimental group, they had to perform slow-paced breathing for 15 min each evening across a 30-day period. This was administered through a smartphone application. The control group used social media (e.g., Facebook, Instagram, Whatsapp) for the same duration. The night before and after the intervention, their CVA was assessed via a light portable Electrocardiogram (ECG) device, and they had to fill out the Pittsburgh Sleep Quality Index questionnaire. Results showed that in comparison to the use of social media, the slow-paced breathing technique improved subjective sleep quality and increased overnight CVA, while a tendency was observed for morning awakening CVA. Slow-paced breathing appears a promising cost-effective technique to improve subjective sleep quality and cardiovascular function during sleep in young healthy individuals.

2021 ◽  
Vol 61 (1) ◽  
Author(s):  
Sevinç Külekçioğlu ◽  
Alp Çetin

Abstract Background The aim of this study was to evaluate social media use in patients with fibromyalgia syndrome (FMS) and determine the effect of social media use on disease severity and sleep quality. Materials and methods In total, 205 social media using patients with similar characteristics were included in the study. The study group consisted of 103 patients with FMS, and the control group consisted of 102 patients without FMS. The FMS symptom severity scale and diffuse pain index were used to determine the disease severity in FMS patients, the sleep disorder short form questionnaire (PROMIS) was used to evaluate sleep quality, and the Social Media Addiction Scale-Adult Form was used to evaluate social media addiction. A visual analog scale was applied to evaluate pain in both the patient and control groups, and social media usage times were recorded. Results We found that pain severity, sleep disturbance and social media addiction were higher in patients with FMS than in the control group, and there was no relationship between the rates of social media use in patients with FMS and the severity and prevalence of the disease. Conclusion The use of social media is more frequent in patients with FMS, which can motivate healthcare professionals to evaluate social media habits in individuals with FMS.


2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Rhonda A. Watkins ◽  
Dai Sugimoto ◽  
Danielle Hunt ◽  
Jessie Oldham ◽  
Paul A. Cacolice ◽  
...  

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

2019 ◽  
Vol 65 (3) ◽  
pp. 375-383 ◽  
Author(s):  
Helena Hachul ◽  
Daniel N. Polesel ◽  
Luciana Tock ◽  
Glaucia Carneiro ◽  
Andrea Z. Pereira ◽  
...  

SUMMARY OBJECTIVE: This study aims to evaluate the sleep of subjects with polycystic ovary syndrome (PCOS), with and without hyperandrogenism, in comparison with a healthy control group and examine the effects of hyperandrogenism and obesity on sleep parameters. METHODS: A total of 44 volunteers were recruited to participate in the study. Clinical, biochemical and polysomnographic parameters were used to diagnose PCOS and hyperandrogenism. The evaluation of sleep quality was made using validated questionnaires and polysomnography test. The frequency of obstructive sleep apnea was also compared between the groups. RESULTS: The study revealed that women with PCOS presented poorer subjective sleep quality, increased incidence of snoring and a higher risk of obstructive sleep apnea, based on the Berlin questionnaire. Also, after adjusting for body mass index, PCOS subjects had rapid eye movement (REM) time lower than those in the control group. PCOS women versus those without hyperandrogenism did not differ on any sleep measurement. Women with obstructive sleep apnea were only diagnosed in the PCOS group. CONCLUSIONS: Our results indicate that PCOS impairs subjective sleep quality, as well as objective sleep quality, due to a reduction in REM sleep stage time in women diagnosed with the syndrome. Obesity affected sleep-related parameters but hyperandrogenism had no effect. Only the PCOS group had obstructive sleep apnea diagnosis.


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

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