Dataset Information

Understanding the Association Between Intolerance of Uncertainty and Problematic Smartphone Use: A Network Analysis.

ABSTRACT:

Background

Existing research has demonstrated that intolerance of uncertainty (IU) is associated with problematic smartphone use (PSU). However, little is known about how different IU components such as uncertainty-related beliefs, emotions, and behaviors may impact on different PSU symptoms.

Methods

Extending previous research, the current study examined the specific associations between IU components and PSU symptoms via a symptom-level network approach. A regularized partial correlation network consisting of different IU components and PSU symptoms was estimated among 1,849 Chinese university students. We examined pathways and influential nodes (i.e. central components/symptoms and bridge components/symptoms) within the IU-PSU network.

Results

The strongest pathway linking IU and PSU was between emotional reactions to uncertainty and coping-motivated smartphone use. Importantly, emotional reactions toward not having enough information (a reflection of emotional reactions to uncertainty) may act as both a central and a bridge component in maintaining the whole IU-PSU network.

Conclusions

The results are in line with the I-PACE model and highlight that PSU may be a coping response for negative emotions derived from uncertainty. Finally, the current findings highlight the potential of interventions targeting intolerance of uncertainty for reducing PSU.

SUBMITTER: Liu C

PROVIDER: S-EPMC9309646 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

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Publications

Understanding the Association Between Intolerance of Uncertainty and Problematic Smartphone Use: A Network Analysis.

Liu Chang C Ren Lei L Li Kuiliang K Yang Wei W Li Ye Y Rotaru Kristian K Wei Xinyi X Yücel Murat M Albertella Lucy L

Frontiers in psychiatry 20220711

<h4>Background</h4>Existing research has demonstrated that intolerance of uncertainty (IU) is associated with problematic smartphone use (PSU). However, little is known about how different IU components such as uncertainty-related beliefs, emotions, and behaviors may impact on different PSU symptoms.<h4>Methods</h4>Extending previous research, the current study examined the specific associations between IU components and PSU symptoms via a symptom-level network approach. A regularized partial co ...[more]

PMID: 35898626

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Project description:BackgroundIncreased prevalence of problematic smartphone use (PSU) in adolescents, results in a cycle of interaction between PSU and social anxiety. However, it is still unknown whether PSU and social anxiety symptoms have interacted among adolescents and whether there are gender differences in these symptoms. Therefore, this study investigated the gender differences in the symptom interactions between PSU and social anxiety via symptom network analysis.MethodsThis study included 2918 adolescents (52.71% boys; Mage = 14.73, SDage = 1.39) from junior and senior high schools in China. The Mobile Phone Addiction Index and Social Anxiety Scale were used to evaluate symptomatology and networks. Network analysis and network comparison tests were used to determine the network structure, centrality, bridge symptoms and gender differences in the PSU-social anxiety network among adolescents.ResultsThe most influential symptoms were "productivity loss" and "afraid of negative evaluation". "Afraid of negative evaluation" was the bridge through which PSU was related to social anxiety. Gender differences were not found in network strength but occurred in network structure. Although girls reported more social anxiety, boys had a tighter network structure. The correlation between PSU and social anxiety was greater in boys than in girls. The "inability to control craving" was particularly critical for girls, while "feeling anxious and lost" was prominent for boys.ConclusionsThe current study highlights the symptom interactions between PSU and social anxiety among adolescents and the gender differences in network structures. Further intervention that targets "afraid of negative evaluation" may disassociate the interaction between PSU and social anxiety symptoms. In particular, changing girls' cognitive ability (e.g., inhibition) and boys' negative emotions are potentially effective means of intervention. The limitations of the cross-sectional design and data-driven methodology necessitate interpreting the results with caution.

Project description:BackgroundPrior studies have revealed the relationships between impulsivity and social media addiction (SMA) and between impulsivity and problematic smartphone use (PSU) based on total scores on standardized self-report scales. However, there has been a lack of studies exploring how the dimensions of impulsivity and components of SMA or PSU are interrelated. The present study aimed to investigate the structural relationships between the dimensions of impulsivity and components of SMA and PSU and determine the critical bridge node using network analysis.MethodsA total of 325 healthy adults aged 18-36 years participated in the study. SMA and PSU were assessed using the Bergen Social Media Addiction Scale (BSMAS) and Smartphone Application-Based Addiction Scale (SABAS), respectively. Impulsivity was measured by the Barratt Impulsiveness Scale Version 11 (BIS-11). Network analysis was used to construct an SMA-Impulsivity network and a PSU-Impulsivity network. Bridge centrality (bridge expected influence, BEI) was estimated to identify influential bridge nodes.ResultsIn addition to relationships within each community, network analysis revealed that the dimensions of impulsivity were closely associated with the components of SMA and PSU. Particularly, I2 "motor impulsivity" had a relatively strong connection with SMA3 "mood modification" and SMA4 "relapse" in the SMA-Impulsivity network, and with PSU2 "conflict" and PSU5 "withdrawal" in the PSU-Impulsivity network. Moreover, I2 "motor impulsivity" was identified as the most critical bridge node in both networks.ConclusionThese findings demonstrate potential pathways between different dimensions of impulsivity and the components of SMA and PSU, providing new evidence relevant to understanding the underlying mechanisms that account for how highly impulsive individuals develop SMA and PSU, and highlight the critical bridge node-motor impulsivity-that may be a promising and effective target for the prevention and treatment of SMA and PSU.

Dataset Information

Understanding the Association Between Intolerance of Uncertainty and Problematic Smartphone Use: A Network Analysis.

Background

Methods

Results

Conclusions

Publications

Understanding the Association Between Intolerance of Uncertainty and Problematic Smartphone Use: A Network Analysis.

Similar Datasets

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