Social Media Use and Its Link to Physical Health Indicators

Social Media Posts from Friends during Late Adolescence as Predictors of Young Adult Physical Health

Although an increasing body of literature has linked social experiences to physical health, research has yet to consider how specific aspects of social experiences taking place on social media during late adolescence may predict future physical health outcomes. This study thus examined qualities of social media posts received from peers at age 21 as predictors of participants' physical health (e.g., Interleukin-6 (inflammation), sleep problems, problems with physical functioning, and BMI) at age 28. Participants included 138 youth (59 men and 79 women); 57% of participants identified as White, 30% as Black/African American, and 13% as from other or mixed racial/ethnic groups. Posts from friends and participants at age 21 characterized by social ties predicted lower levels of future physical health problems, whereas socially inappropriate "faux pas" posts that deviated from peer norms by friends predicted higher levels of physical health problems at age 28. These associations were found after accounting for factors typically associated with physical health outcomes, including participants' baseline social competence, internalizing and externalizing symptoms, alcohol use, observed physical attractiveness, and history of prior hospitalizations. The results of this study suggest the importance of both achieving social integration with peers online and adhering to peer norms in the online domain as key predictors of future physical health.

Cultural persistence and change in university students' social networking motives and problematic use

This cross-cultural study assessed the problematic use and motivations of social networking sites (SNS) among university students in China, Malawi, and the UK. A sample of 975 students completed the 10-item WeChat Excessive Use Scale and 20-item measure of SNS motivations across friendship, convenience, social support, information, and entertainment dimensions. Results showed that SNS problematic use was significantly lower in the individualistic UK compared to collectivistic China and Malawi. Critical cultural differences also emerged in usage motivations. Chinese and Malawian youth scored higher on social motivations like friendship and support compared to the UK. However, the entertainment motive was associated with the problematic use of SNS across all groups, reflecting the globalised digital culture. While Malawi's collectivism ordinarily emphasises social cohesion, this sample showed weaker associations between problematic SNS use and social support motivations. Material constraints limiting access may reduce online social reliance compared to China. Findings reveal both persisting and evolving cultural dynamics as new technologies spread globally. Uses and gratification theory helps explain these nuances. Ultimately, universal and culturally specific facets of social networking motivations must be considered in addressing the global problematic use of social media.

Social Media Use and Its Concurrent and Subsequent Relation to a Biological Marker of Inflammation: Short-Term Longitudinal Study

BACKGROUND

Although many studies have examined the impact of social media use (SMU) on mental health, very few studies have examined the association of SMU with health-relevant biomarkers.

OBJECTIVE

Addressing this gap, we conducted a short-term longitudinal study examining the link between SMU and C-reactive protein (CRP), a biological marker of systemic inflammation predictive of major depression, chronic diseases, and mortality.

METHODS

We measured college students' weekly amount of SMU for 5 consecutive weeks objectively via the Screen Time app and collected blood samples at baseline and 5 weeks later.

RESULTS

In separate cross-sectional analyses conducted at phase 1 (baseline) and at phase 2 (5 weeks after baseline), objective SMU had a positive, concurrent association with CRP at both time points. Critically, in a longitudinal analysis, more SMU between phase 1 and phase 2 predicted increased CRP between these time points, suggesting that increased SMU led to heightened inflammation during that period.

CONCLUSIONS

Although more research is needed to understand why SMU led to higher inflammation, the association between objective SMU and a marker of a biological process critical to physical health presents an intriguing opportunity for future research on social media effects.

Examining the Association Between Digital Stress Components and Psychological Wellbeing: A Meta-Analysis

Extant research suggests that digital stress (DS) and its various components (Hall et al. in Psychol Assess 33(3):230-242, 2021) may mediate the association between social media use and psychosocial distress among adolescents and young adults. Yet no systematic review and meta-analysis has been conducted to examine the direct associations among DS components (i.e., approval anxiety, availability stress, fear of missing out [FOMO], connection overload, and online vigilance) and psychological outcomes. Thus, we aimed to comprehensively synthesize and quantify the association between these five DS components and psychosocial distress, and to examine whether these associations were statistically different from one another. Our search of PubMed, PsycINFO, and Communication and Mass Media Complete yielded a wide range of article abstracts across the five DS components. After reviewing inclusion and exclusion criteria, 7, 73, 60, 19, and 16 studies were included for availability stress, approval anxiety, FOMO, connection overload, and online vigilance, respectively. The results suggested that all five digital stress components had significant medium association with psychosocial distress (r = .26 to .34; p < .001). Age and sex did not significantly moderate the association between most digital stress components and psychosocial distress. However, age moderated the association between connection overload and psychosocial distress. Our findings further suggested no statistical differences among the associations between the five digital stress components and psychosocial distress. Notwithstanding its limitations, our outcomes help integrate the disparate effect sizes in the literature, indicate the strength of associations, and suggest directions for clinical intervention and future research.

The relationship between social media addiction, fear of missing out and family functioning: a structural equation mediation model

BACKGROUND

The use of social media became a daily activity for many individuals, with recreational, informational, and social purposes, to name a few. However, for some subjects, the use of these platforms may become problematic and generate functioning impairments in many life areas. Given this, the present research aimed at investigating the factor that may contribute to Social Media Addiction, by focusing on Fear of Missing Out and Family Functioning Patterns.

METHODS

A sample of 303 social media users (Mage = 35.29; SD = 14.87; 65% females, 35% males) completed a survey including the Bergen Social Media Addiction Scale, Family Adaptability and Cohesion Evaluation Scales-IV, and Fear of Missing Out Scale. Data were analysed by implementing Pearson correlation and testing a mediation with the Structural Equation Model approach.

RESULTS

Cohesion, flexibility, and disengagement family functioning patterns were significantly associated with the levels of social media addiction. These dimensions were inserted in the structural equation model, where the full mediation of fear of missing out in their relationship with social media addiction was shown.

CONCLUSIONS

The data showed the protective effect of flexible and cohesive family functioning patterns, as well as the role of disengagement and, sequentially, fear of missing out as risk factors. These findings may provide useful indications to elaborate tailored and effective therapeutic and preventive activity.

Trends in physical health complaints among adolescents from 2014 - 2019: Considering screen time, social media use, and physical activity

The rising rates of physical and mental health complaints among adolescents observed in many countries have coincided with an increased time spent on screen-based devices, including social media use. We sought to document recent trends in physical health complaints (PHC) and whether co-occurring trends in screen time, social media use, and physical activity may account for these trends. To achieve these aims, we used data from the nationwide Ungdata surveys conducted annually at the municipality level in Norway, comprising 419,934 adolescents aged 13-18 from six survey years (2014-2019). Six items assessed PHC, including neck and shoulder pain, headache, and abdominal pain, during the past month. To account for the nesting structure of Ungdata, and to exploit the variation within and between municipalities, we used multilevel analyses with adolescents nested in municipality-years (n = 669), nested in municipalities (n = 345). We found a small to moderate linear increase in number of PHC among boys and girls from 2014 to 2019. Screen time and social media use moderately attenuated the trend for girls, and to a lesser extent for boys. Screen time and social media use were further positively associated with PHC across the between and within-municipality levels, and social media use was more strongly associated with PHC for girls than boys across all levels of analysis. A similar pattern emerged when considering each symptom individually. The results suggest that the prevalence of PHC rose in tandem with a group-level shift towards higher screen time and social media use. Moreover, the results indicate that higher screen time and social media use may have led to changes in the youth culture with potential consequences for adolescents' well-being.

Can Inflammation Predict Social Media Use? Linking a Biological Marker of Systemic Inflammation with Social Media Use Among College Students and Middle-Aged Adults

Drawing on recent evidence that inflammation may promote social affiliative motivation, the present research proposes a novel perspective that inflammation may be associated with more social media use. In a cross-sectional analysis of a nationally representative sample, Study 1 (N = 863) found a positive association between C-reactive protein (CRP), a biomarker of systemic inflammation, and the amount of social media use by middle-aged adults. Study 2 (N = 228) showed that among college students CRP was prospectively associated with more social media use 6 weeks later. Providing stronger evidence of the directionality of this effect, Study 3 (N = 171) showed that in college students CRP predicted increased social media use in the subsequent week even after controlling for current week's use. Additionally, in exploratory analyses of CRP and different types of social media use in the same week, CRP was only associated with using social media for social interaction and not for other purposes (e.g., entertainment). The present research sheds light on the social effects of inflammation and highlights potential benefits of using social media as a context for studying the impact of inflammation on social motivation and behavior.

Smartphone Use and Inflammation at 2-Year Follow-Up in College Students: The Mediating Role of Physical Activity

Purpose

Smartphone use could lead to being physically inactive and a greater risk for health problems, such as inflammation. However, the associations between smartphone use, physical activity (PA), and systemic low-grade inflammation remained unclear. This study aimed to examine the potential mediating effect of PA on the association between smartphone use and inflammation.

Patients and Methods

A two-year follow-up study was conducted between April 2019 and April 2021. Duration of smartphone use, smartphone dependence and PA were assessed by a self-administered questionnaire. Laboratory analysis of blood samples was performed to evaluate the levels of TNF-α, IL-6, IL-1β, and CRP as biomarkers of systemic inflammation. The correlations between smartphone use, PA, and inflammation were analyzed using Pearson correlation. Structural equation modelling was used to analyze the potential mediating effect of PA on the associations between smartphone use and inflammation.

Results

A total of 210 participants were included with a mean (standard deviation) age of 18.7 (1.0) years, 82 (39%) of whom were males. Smartphone dependence was negatively associated with the total PA level (r=-0.18, P<0.01). PA mediated the associations between the duration of smartphone use and smartphone dependence with inflammatory markers. Specifically, as PA decreased, the duration of smartphone use was more negatively associated with TNF-α (ab=-0.027; 95% CI: -0.052, -0.007) and more positively correlated to IL-6 (ab=0.020; 95% CI: 0.001, 0.046) and CRP (ab=0.038; 95% CI: 0.004, 0.086); smartphone dependency was more negatively associated with TNF-α (ab=-0.139; 95% CI: -0.288, -0.017) and more positively related to CRP (ab=0.206; 95% CI: 0.020, 0.421).

Conclusion

Our study illustrates that there are no direct associations between smartphone use and systemic low-grade inflammation, however, PA level plays a weak but significant mediating effect on the associations between smartphone use and inflammation among college students.