Gaming to cope: Applying network analysis to understand the relationship between posttraumatic stress symptoms and internet gaming disorder symptoms among disaster-exposed Chinese young adults

Yuan, Guangzhe; Shi, Wei; Elhai, Jon D.; Montag, Christian; Chang, Kay; Jackson, Todd; Hall, Brian J.

doi:10.1016/j.addbeh.2021.107096

Cited by 33 publications

(24 citation statements)

References 93 publications

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“…This study revealed that the strongest edges appeared within the communities rather than connecting different communities. This is consistent with prior studies that have shown that the strongest edges exist within each community when detecting relationships between variables in a network consisting of two or more communities (24,53,63,(90)(91)(92)(93). For the PSU community, the two strongest positive edges were between PSU1 "salience" and PSU3 "mood modification" and between PSU4 "tolerance" and PSU6 "relapse"; this has also been found in a prior network research (24).…”

Section: Discussionsupporting

confidence: 91%

The roles of behavioral inhibition/activation systems and impulsivity in problematic smartphone use: A network analysis

Guo

Yang

et al. 2022

Front. Public Health

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BackgroundBehavioral inhibition/activation systems (BIS/BAS) and impulsivity are associated with problematic smartphone use (PSU). However, no studies to date have explored how the subdomains of BIS/BAS and the dimensions of impulsivity relate to the components of PSU in a joint framework. This study aimed to examine the relationships between the three constructs at a fine-grained level and identify the central nodes and bridge nodes of their relationships using network analysis.MethodsA regularized partial correlation network of PSU, BIS/BAS, and impulsivity communities was estimated to investigate the connections between variables and determine the expected influence and bridge expected influence for each variable based on data from 325 Chinese adults. PSU, BIS/BAS, and impulsivity were assessed using the Smartphone Application-Based Addiction Scale (SABAS), BIS/BAS scales, and Barratt Impulsiveness Scale-Version 11 (BIS-11), respectively.ResultsIn addition to connections within each community, network analysis revealed that there were connections between different communities, especially connections to PSU. I2 “motor impulsivity” was strongly associated with PSU2 “conflict” and PSU6 “relapse”; BASR “BAS-reward responsiveness” was strongly associated with PSU5 “withdrawal.” Nodes BASR “BAS-reward responsiveness” and PSU6 “relapse” were the most central variables, while nodes BASR “BAS-reward responsiveness” and I2 “motor impulsivity” were the strongest bridge variables.ConclusionThe connections between the subdomains of BIS/BAS and the components of PSU and between the dimensions of impulsivity and the components of PSU may be particularly important in the development and maintenance of PSU. The central variables identified here, along with the bridge variables, could be promising and effective targets for the prevention and intervention of PSU.

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Section: Discussionsupporting

confidence: 91%

The roles of behavioral inhibition/activation systems and impulsivity in problematic smartphone use: A network analysis

Guo

Yang

et al. 2022

Front. Public Health

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“…Our results are in line with some previous findings but in conflict with others. In the only previous network analysis on IGD, Yuan et al (2022) found control and continued use to be strong and influential symptoms in the network; however, their strongest and most influential symptom preoccupation was mediocre in our data. This could be due to variation in operationalizing preoccupation, as discussed below.…”

Section: Rq 12 Core Vs Peripheral Symptomscontrasting

confidence: 88%

Network Structures of Internet Gaming Disorder and Gaming Disorder: Symptom Operationalization Causes Variation

Adamkovič¹,

Martončik²,

Karhulahti³

et al. 2022

Preprint

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Background: From 2022, the ICD-11 includes the first mental disorder based on digital technology, “gaming disorder”, which was previously suggested as a condition for further study in the DSM-5 (2013). In this study, we provide the first large-scale network analysis of various symptom structures for these constructs to understand the complex interconnections between their proposed symptoms.Methods: Culturally diverse samples of 2,846 digital game players (M = 25.3 years) and 746 esports players (M = 23.5 years) were recruited. Network approach was applied to explore a multiverse of gaming disorder symptom structures, effects of item operationalization, and possible external moderators.Findings: Two symptoms (lack of control and continued use despite problems) present in both, the DSM-5 and ICD-11, were systematically central to most of the analyzed networks. Alternative operationalizations of single items systematically caused significant network differences. Networks were invariant across groups of play style, age, gender, gaming time, and most of the psychosocial characteristics.Interpretation: Our results caution practitioners and researchers when studying and interpreting gaming disorder symptoms. The data indicate that even minor item-level changes can lead to significant network-level changes, thus highlighting the need for careful operationalization. Considering this high sensitivity of the network structure, future clinical validation studies should not be strictly limited to the wordings, criteria, and symptoms of current diagnostic manuals.

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“…Despite their limited number of items, these three subscales demonstrated adequate reliability and criterion validity as indicated by strong correlations with measures of distress. Indeed, traumatic symptoms are reported to predicted psychological distress, reduced resilience, disordered gaming, substance abuse, disordered eating, and reckless behaviors (e.g., suicidality) during COVID-19 [11,17,37,38]. Therefore, identification of people with possibly high scores on PTSD symptoms may have implications for the diagnosis and treatment of such a demanding condition.…”

Section: Discussionmentioning

confidence: 99%

The Impact of Event Scale – Revised: Examining its cutoff scores among Arab psychiatric patients and healthy adults within the context of COVID-19 as a collective traumatic event

Ali¹,

Al-Dossary²,

Almarwani³

et al. 2023

Preprint

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The Impact of Event Scale-Revised (IES-R) is the most popular measure of post-traumatic stress disorder (PTSD), which has been recently validated in Arabic. This instrumental study aimed to determine optimal cutoff scores of the IES-R and its subscales in Arab samples of psychiatric patients (N = 168, 70.8% females) and healthy adults (N = 992, 62.7% females) from Saudi Arabia during the COVID-19 pandemic as an ongoing collective traumatic event. Based on a cutoff score of 14 of the Depression Anxiety Stress Scale 8-items (DASS-8), receiver operator curve (ROC) analysis revealed two optimal points of 39.5 and 30.5 for the IES-R in the samples (area under the curve (AUC) = 0.86 &amp; 0.91, p values = 0.001, 95% CI: 0.80-0.92 &amp; 0.87 to 0.94, sensitivity = 0.85 &amp; 0.87, specificity = 0.73 &amp; 0.83, Youden index = 0.58 &amp; 0.70, respectively). Different cutoffs were detected for the six subscales of the IES-R, with numbing and avoidance expressing the lowest predictivity for distress. Meanwhile, hyperarousal followed by the irritability expressed stronger predictive capacity for distress than all subscales in both samples. In path analysis, pandemic-related irritability resulted from direct and indirect effects of key PTSD symptoms (intrusion, hyperarousal, and numbing). Irritability contributed to traumatic symptoms of sleep disturbance in both samples while the opposite was not true. The findings suggest usefulness of the IES-R at a score of 30.5 for detecting adults prone to trauma related distress, with higher scores needed for screening in psychiatric patients. Various PTSD symptoms may induce dysphoric mood, which represents a considerable burden that may induce circadian misalignment and more noxious psychiatric problems/ co-morbidities (sleep disturbance) in both healthy and diseased groups.

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Gaming to cope: Applying network analysis to understand the relationship between posttraumatic stress symptoms and internet gaming disorder symptoms among disaster-exposed Chinese young adults

Cited by 33 publications

References 93 publications

The roles of behavioral inhibition/activation systems and impulsivity in problematic smartphone use: A network analysis

The roles of behavioral inhibition/activation systems and impulsivity in problematic smartphone use: A network analysis

Network Structures of Internet Gaming Disorder and Gaming Disorder: Symptom Operationalization Causes Variation

The Impact of Event Scale – Revised: Examining its cutoff scores among Arab psychiatric patients and healthy adults within the context of COVID-19 as a collective traumatic event

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