The effect of smartphone addiction on physical activity level in sports science undergraduates

Is physical activity associated with lower risk of social network problematic use or addiction? A systematic review and meta-analysis

BACKGROUND AND PURPOSE

The global rise in social media usage has led to an increasing prevalence of social network problematic use or addiction (SNPUA). Although previous research has identified a negative association between physical activity (PA) levels and some problematic digital behaviors, the relationship between PA and SNPUA remains unclear. Thus, the aim of this systematic review and meta-analysis was to examine possible associations between PA and SNPUA.

METHODS

The search was registered in OSF and was conducted in November 2024 using the following search terms: ('Physical activity' or exercise) and (addiction or 'problematic use') and ('social network' or 'social media' or Instagram or Facebook or 'Tik Tok'). It was carried out in PubMed and Web of Science databases. A total of 255 articles were retrieved and 24 of them met the inclusion criteria. Meta-analysis was conducted using Review Manager 5.4 software.

RESULTS

The majority of studies included university students (n = 14) and primary or secondary school students (n = 7). The participants' mean age ranged from 13.9 to 27.43 years. Female participants accounted for 50.8 % of the total sample. The meta-analysis involving 150,000+ participants revealed that PA is inversely related to SNPUA. Most of the included studies (14/24), involving 94 % of the sample, reported that those participants who engage in a higher amount of PA had lower levels of SNPUA.

CONCLUSION

PA could be an effective tool to prevent or reduce social network addiction levels. However, inconsistency in collecting data on PA and SNPUA makes it difficult to draw solid conclusions.

Association between smartphone addiction and sedentary behaviour amongst children, adolescents and young adults: A Systematic Review and meta-analysis

BACKGROUND

The rapid proliferation of smartphones has raised concerns about their impact on physical activity levels, particularly among younger demographics. While smartphones offer numerous benefits, there is growing evidence to suggest that excessive use may lead to sedentary behaviours, potentially impacting physical health adversely. Hence, this review was done to explore the association between smartphone addiction and reduced physical activity amongst children, adolescents and young adults.

METHODS

This meta-analysis systematically reviewed ten studies involving 5195 participants. We employed a random-effects model with DerSimonian-Laird estimation for tau2 to calculate pooled odds ratios (ORs). Subgroup analyses were conducted based on geographical regions, risk of bias, and different measurement tools to assess the robustness and variability of the findings. Publication bias was assessed using funnel plots, Egger's test, and the trim-and-fill method.

RESULTS

The analysis revealed a significant association between smartphone addiction and reduced physical activity, with a pooled OR of 2.19 (95% CI: 1.34 to 3.57, p = 0.002). Notably, subgroup analyses demonstrated a stronger association in studies from the Middle-Eastern region (OR = 4.75; p = 0.026) and among studies employing alternative standardized scales (OR = 3.32; p = 0.044). Sensitivity analyses confirmed the robustness of these findings, and although potential publication bias was detected, it did not materially affect the overall estimates.

CONCLUSIONS

Smartphone addiction is significantly linked with reduced physical activity among younger populations, underscoring the need for targeted public health interventions and longitudinal studies to elucidate causal mechanisms. These findings highlight that mitigating excessive smartphone use may be a critical component in promoting active lifestyles.

Flourishing through Social Development Activities and Social Support: A Holistic Strategy for Problematic Smartphone Use

While some research has indicated the relationship between participation in social development activities (PSDA) and perceived social support (PSS) with problematic smartphone use (PSU), there has been a lack of studies examining these relationships through the lens of the flourishing theory, particularly among adolescents. To address this gap in the literature, this study conducted between April and May 2022 included 4965 high school students from 20 different cities in Türkiye. Researchers utilized questionnaires assessing participants' demographic information, levels of participation in social development activities, The Smartphone Application-Based Addiction Scale, The Short Version of the Scales of General Well-Being (GWB), and The Multidimensional Scale of Perceived Social Support as instruments. Structural Equation Modeling was employed for analyzing the relationships between variables using IBM SPSS v26 and AMOS v24 software packages. Hierarchical regression analysis was used to understand how GWB and PSS were associated with the relationships between PSDA and PSU. Findings indicated a predominantly negative relationship between PSDA and PSU, with GWB mediating this relationship negatively across all PSDA and PSS playing a contributory role in many indirect relationships between PSDA and PSU, if not directly. The importance of the approach in interventions aimed at addressing PSU was emphasized.

Narrative Review of the Morphofunctional Underpinnings and Comprehensive Rehabilitation Strategies for Smartphone-addicted University Students

The widespread availability of mobile phones has contributed to a high prevalence of digital addiction worldwide. Smartphone addiction or problematic smartphone use (SA/PSU) has become a widespread issue, especially among university students. Due to concerns about SA/PSU and cyber addiction in young people, research has focused on the structural and functional effects on the brain and the behavioral consequences of spending too much time on mobile phones. This review investigates the impact of excessive smartphone use on this demographic group's physical and mental health. An advanced search on PubMed based on primary keywords, clustered in syntactic associations looked for academic work focusing on: ((((smartphone addiction) and (problematic smartphone use)) and (students) and (Physical exercises)) and (Physical Activity). The relationship (((smartphone addiction) and (problematic smartphone use) and (systematic review) identified 22 papers, published between 2016 and 2024, 16 of which were during the Covid era and post-pandemic periods (2020-2024). Smartphone overuse-induced alterations in cerebral gray matter were observed in four trials. The beneficial influence of physical activity on smartphone addiction was emphasized in 11 publications (selected 9) identified by the advanced search with the syntactic relationship. The narrative review offers a comprehensive overview of effective strategies for addressing SA/PSU. This includes utilizing exercise and psychological interventions to combat digital addiction. Furthermore, studies have looked into the potential benefits of physical exercise and specific strategies addressing these issues. Engaging in physical activity may help offset the negative effects of SA/PSU, and targeted strategies are necessary for preventing and treating these problems in young people. Political and educational decision factors must implement targeted strategies and integrated social education policies to prevent smartphone overuse and pejorative consequences in adolescents and young people.

Could physical activity alleviate smartphone addiction in university students? A systematic literature review

Objectives

Recently, the widespread surge in smartphone addiction (SA) has raised major global health concerns and prompted researchers to scrutinize the inverse relationship between physical activity (PA) and the risk of SA. This systematic literature review aims to synthesize the empirical research on the relationship between PA and SA among university students representing the most affected age group.

Methods

Adopting the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines, we explored five databases: PubMed, Social Sciences Research Network (SSRN), Oxford Research Archive, Journal Storage (JSTOR), and Google Scholar. We used the Mixed Methods Appraisal Tools (MMAT) for quality assessment.

Results

Thirty-one studies met the inclusion criteria. Twenty-eight of them were cross-sectional, and three were experimental. The 31 studies emerged from 12 countries, most stemming (45.16%) from China. Their findings suggest an inverse relationship between PA and SA in the examined population. However, the direct relationship may be weak based on correlational studies, while intervention research yields noteworthy effects. Still, other factors like resilience may mediate the studied relationship. Methodological concerns render the results of correlational studies tentative.

Conclusions

Regular PA could be a promising preventive measure for SA. Future work should use objective PA indices in longitudinal research designs while assessing the type and duration of smartphone applications used via device meters. In correlational studies, interviews should follow up on the high SA risk or too much device use. In conclusion, moderate evidence indicates that PA can reduce SA among university students.

Smartphone Addiction and Related Factors among Athletes

Smartphone addiction (SA) is increasing worldwide. The aim of this study is to determine the level of SA in athletes affiliated to the Turkish Handball Federation in Izmir and to examine its relationship with factors such as sociodemographic status, health status, eating attitude, and body perception. This cross-sectional study was conducted in March-April 2021 in Izmir Province. The sample of the study consisted of 212 licensed handball athletes. The short SA scale, three-factor nutrition scale, and body perception scale were used. A chi-square test was used for bivariate comparisons and logistic regression analysis was used for multivariate comparisons. The study was completed with 202 individuals (the coverage rate was 95.3%). The prevalence of SA was found to be 27.7%. The risk of SA increased 2.49-fold (CI: 1.17-5.31, p = 0.018) in female participants, 2.01-fold (CI: 1.01-4.06, p = 0.048) in participants with alcohol use, 2.17-fold (CI: 1.04-4.58, p = 0.042) in participants with low nutritional scores, 2.65-fold (CI: 1.15-6.10, p = 0.022) in individuals with high-income status, and 2.66-fold (CI: 1.07-6.64, p = 0.036) in individuals with high body perception scale score. In total, 27.7% of the athlete sample had scores above the SA threshold. These results point out that a behavioral addiction such as SA can occur even in professionals of an activity such as sports, known for beneficial effects in terms of healthy life.

Do young people perceive their smartphone addiction as problematic? A study in Danish university college students

As smartphone addiction has been linked to poor mental health and lower levels of physical activity, it is of public health interest to explore the behavior behind problematic smartphone use and develop interventions to reduce smartphone use. This study aimed to investigate the risk of smartphone addiction and examine perceived problematic smartphone behavior among university college students. This online survey conducted amongst 1251 Danish University College students studied smartphone addiction in conjunction with physical- and mental health dimensions. The risk of smartphone addiction was estimated using the Smartphone Addiction Scale-Short Version (SAS-SV). The main results are presented as odds ratios from multivariate logistic regressions. One in four (23%) were at high risk of smartphone addiction. Of this high-risk group, 74% identified their smartphone behavior as problematic, with 91% having considered reducing their smartphone use. Students with a high risk of smartphone addiction perceiving their behavior as problematic were more likely to report low mental health and well-being. In conclusion, students at high risk of smartphone addiction acknowledge their problematic behavior and have actively considered behavior modifications. This knowledge can enable teachers, parents, and social and health workers to understand that a majority of heavy smartphone users are open to reducing their smartphone usage, albeit with the appropriate support.

Association between Problematic Smartphone Use and Physical Activity among Adolescents: A Path Analysis Based on the 2020 Korea Youth Risk Behavior Web-Based Survey

BACKGROUND

Physical activity is known to prevent several diseases and positively affect mental health. Previous studies have shown that smartphone addiction negatively affects the physical activity of children and adolescents. This study aimed to investigate the relationship between problematic smartphone use and physical activity among adolescents and the related factors using path analysis.

METHODS

Using data from the 16th Youth Risk Behavior Web-based Survey from 2020, scores on the Smartphone Addiction Scale-Short Version for Adolescents, physical activity, sex, socioeconomic status (SES), academic performance, depression, smoking, drinking, and sitting time were assessed. Complex sampling and path analyses were performed.

RESULTS

Of the total 54,948 students, 25.5% were smartphone risk users, including potential and high-risk users. The direct path coefficients of each factor indicated that female sex (-0.14 for male), low SES (-0.062), high academic performance (0.056), low sitting time for studying purposes (-0.033), high sitting time for non-studying purposes (0.071), and depressive mood (0.130) were related to problematic smartphone use (all P<0.001). Each factor affected problematic smartphone use, and subsequently had a negative effect on the amount of physical activity, with a direct path coefficient of -0.115 (P<0.001).

CONCLUSION

In this study, we confirmed that problematic smartphone use among adolescents was negatively associated with performing an adequate amount of physical activity and that various factors, such as sex, SES, academic performance, and sitting time, directly and indirectly affected this relationship.

The Relationship Between Physical Activity and Mobile Phone Addiction Among Adolescents and Young Adults: Systematic Review and Meta-analysis of Observational Studies

BACKGROUND

Previous studies have reported a potential negative correlation between physical activity (PA) and mobile phone addiction (MPA) among adolescents and young adults. To date, the strength of this correlation has not been well characterized.

OBJECTIVE

This review and meta-analysis aimed to synthesize available empirical studies to examine the correlations between PA and MPA among adolescents and young adults. We also explored several potential moderators, including time of data collection, country or region, and type of population, associated with the relationship between PA and MPA.

METHODS

Four electronic databases (PubMed, Scopus, PsycINFO, and Web of Science) were searched from database inception to March 2022 to identify relevant studies. The pooled Pearson correlation coefficients and their corresponding 95% CIs for the relationship between PA and MPA were calculated using the inverse variance method. The methodological quality of the included cross-sectional studies was determined based on the Joanna Briggs Institute appraisal checklist. The study conformed to the PRISMA (Preferred Reporting Items for Systematic Review and Meta-analyses) guidelines.

RESULTS

In total, 892 relevant articles were identified, of which 22 were selected based on the inclusion and exclusion criteria. The final meta-analysis included 17 of the 22 studies. Results of random effects modeling revealed a moderate correlation between PA and MPA among adolescents and young adults (summary r=-0.243, P<.001). Sensitivity and publication bias analyses further demonstrated the robustness of our results. All the included studies were scored as high quality with a low risk of bias. Subgroup analysis further indicated that none of the hypothesized moderators (time of data collection, country or region, and type of population) significantly affected the relationship between PA and MPA, as confirmed by the mixed effects analysis. In addition, in the data collection subgroups, medium effect sizes were obtained for data collected before COVID-19 (r=-0.333, P<.001) and data collected during COVID-19 (r=-0.207, P<.001). In subgroup analyses for country or region, the correlation coefficient for China and other developing regions showed a similarly moderate effect size (r=-0.201, P<.001 and r= -0.217, P<.001, respectively). However, the effect sizes for developed regions were not significant (r=-0.446, P=.39). In a subgroup analysis based on the type of population, we found that the effect size for young adults was moderate (r=-0.250, P<.001). However, that of adolescents was not significant (r=-0.129, P=.24).

CONCLUSIONS

Our results demonstrate a moderately negative relationship between PA and MPA among young adults. The strength of this relationship was not influenced by the time of data collection, country or region, or type of population.