scholarly journals Social media use in patients with fibromyalgia and its effect on symptom severity and sleep quality

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.

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.


Author(s):  
Hiu Yan Wong ◽  
Hoi Yi Mo ◽  
Marc N. Potenza ◽  
Mung Ni Monica Chan ◽  
Wai Man Lau ◽  
...  

Internet gaming and social media use are prevalent and integral to many people’s lives. However, excessive engagement in either could lead to negative health impacts. This study aimed to investigate relationships between severities of internet gaming disorder (IGD) and problematic social media use (operationalized as social media addiction; SMA) with sleep quality and psychological distress among young adults. A cross-sectional study with snowball sampling was conducted among Hong Kong university students in 2019. All participants (n = 300; mean (SD) age = 20.89 (1.48); 122 males (40.67%)) responded to an online survey that included Chinese versions of the Internet Gaming Disorder Scale-Short Form (IGDS9-SF), Bergen Social Media Addiction Scale (BSMAS), Pittsburgh Sleep Quality Index (PSQI), and Depression Anxiety Stress Scales (DASS-21). Multiple linear regressions demonstrated that IGDS-SF9 scores demonstrated associations with psychological distress measures (standardized coefficient (β) = 0.295 for depression, 0.325 for anxiety, 0.339 for stress, all p < 0.001). BSMAS scores showed similar albeit numerically less robust associations (β = 0.235 for depression, p < 0.001; 0.219 for anxiety, p = 0.001; 0.262 for stress, p < 0.001). BSMAS scores demonstrated associations with poorer sleep quality (β = 0.292; p < 0.001) and IGDS9-SF scores (β = 0.157; p = 0.024) showed a significantly less robust association (p = 0.01 for comparing the two βs). These findings suggest that both severities of IGD and SMA associate with more psychological distress and poorer sleep quality, although the strengths of associations may differ.


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

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
H Aygar ◽  
A Unsal ◽  
D Arslantas ◽  
B Isıktekin Atalay ◽  
C Cam ◽  
...  

Abstract Background Recently, social media usage disorder has become a behavioral addiction with the internet which has entered our daily life rapidly. One of the important factors considered to be associated with social media use disorder is thought to be loneliness. The aim of the study was to evaluate the social media use disorder in medical school students. Methods This study is a cross-sectional study conducted on the students who were studying in Eskisehir Osmangazi University Faculty of Medicine between January 2 and February 28, 2019. The study group consisted of 422 internet user students. The level of social media usage was assessed by Social Media Disorder Scale (SMD-scale). The level of loneliness was evaluated with the short-form of the UCLA Loneliness Scale (ULS-8). Mann Whitney U, Kruskal Wallis, Spearman correlation analysis were used. Results Of the participants 226 (53.6%) was male. The age of the study group ranged from 17 to 29 years and the mean (SD) was 19.78 (1.33) years. The scores obtained from SMD-scale ranged from 0 to 63, with a mean of 12.18±10.35 (median = 9.0). All students had at least one social media account. In the study, no difference was found between the scores obtained from gender, age group, father’s education status, family income status and family type. While the scores of the students whose mothers have a university education level are lower; those who spent more than 2 hours a day on social media had a higher score. There was a weak positive correlation between the scores obtained from SMD-scale and ULS-8 (p &lt; 0.001, r = 0.215). There was a weak negative correlation between the scores obtained from the SMD-scale and the academic grade point average (p = 0.012, r = -0.123). Conclusions It is concluded that the correct use of social media can be increased by informing about this issue. Increasing platforms such as student clubs in which individuals could socialize in real life may be useful in reducing this disorder. Key messages Public health studies could help prevent social media use disorder transform into more serious health problem in future. Further studies are needed to determine the effects of social media use disorders on mental and physical health.


2015 ◽  
Vol 7 (4) ◽  
pp. 86 ◽  
Author(s):  
Jamal J. Al-Menayes

<p>This study investigated the effect of social media usage, engagement, and addiction on academic performance. First, the results show that the amount of time one spends using social media affects academic performance in a negative way. The amount of time one spends using social media is negatively correlated with their academic performance. Second, the study examined the effect of social media engagement on academic performance. Results show the SMEQ had no significant impact on academic performance. This outcome indicates that, unlike social media usage, being engaged alone does not affect academic performance. Finally, the study looked at social media addiction and its effect on academic performance. Social Media Addiction Scale (SMAS) was used for this purpose. Factor analysis was again used to determine the dimensions of SMAS. The analysis yielded three factors. Two of these factors were negative predictors of academic performance. This is not surprising since addiction implies heavy usage that previously showed the same negative effect on academic performance.</p>


2021 ◽  
Vol 26 (2) ◽  
pp. 228-237
Author(s):  
Lauren Larson

In the 21st century, use of online communication has skyrocketed, and this is particularly true for young people who have grown up in the age of the smartphone. In the world of online communication, adolescents and young adults especially seem to gravitate toward social media. The present study examined a mediational model wherein social media use in emerging adults predicts social media addiction through altered social behaviors, including face-to-face interactions, communication apprehension, and social skill deficits. More than 100 undergraduate students reported on their social media use and social behaviors via an online questionnaire. Contrary to expectations, social media use was only significantly correlated with social skills deficits, r(108) = .204, p = .017, and social media addiction, r(108) = .495, p < .001. Face-to-face interactions, communication apprehension, and social skills deficits did not function as mediators of the relationship between social media use and addiction and had no significant correlations with social media addiction. A modified mediation model is proposed, wherein impoverished face-to-face behavior and communication apprehension predict social skills deficits and those deficits predict social media addiction only when social media use is high.


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.


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