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Social loneliness and web gaming dependancy amongst adolescents: the mediating roles of escape motivation and self-control

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Abstract

Background

In current years, Internet gaming dependancy amongst adolescents has change into more and more extreme, rising as a urgent international psychological well being concern. Much of the present literature has targeting elements akin to character, household backgrounds, and the intrinsic enchantment of video video games, but the psychological underpinnings of gaming dependancy stay underexplored. This analysis goals to look at how emotions of social loneliness contribute to gaming dependancy amongst teenagers, specializing in how motivations to flee actuality and the flexibility to control one’s actions function intermediaries on this relationship.

Methods

Drawing on the Compensatory Internet Use Theory, this cross-sectional research surveyed 731 center faculty college students utilizing validated scales measuring social loneliness, Internet gaming dependancy, escape motivation, and self-control. Hypotheses have been examined utilizing SPSS 27.

Results

The outcomes confirmed a big constructive affiliation between social loneliness and Internet gaming dependancy in adolescents. In addition, escape motivation and self-control collectively functioned as mediating variables within the affiliation between social loneliness and gaming dependancy.

Conclusion

This analysis elucidates the psychological mechanisms linking social loneliness to web gaming dependancy amongst adolescents, highlighting the vital mediating roles of escape motivation and self-control. The findings present theoretical backing for efforts aimed toward stopping and intervening in adolescent Internet gaming dependancy. They spotlight the necessity for educators and fogeys to carefully monitor adolescents’ escape motivation and self-control skills to mitigate the chance of dependancy to gaming.

Keywords: Compensatory Internet Use Theory, escape motivation, web gaming dependancy, self-control, social loneliness

1. Introduction

Rapid developments in smartphone and web applied sciences have reworked adolescent leisure, with Internet gaming now occupying a central function in day by day life (Çelikkaleli et al., 2025). This shift has made adolescents notably prone to web gaming dependancy (IGA). IGA is outlined because the overuse and lack of management over on-line gaming, which might result in bodily, psychological, and social impairments (Block, 2008). As a typical manifestation of extreme immersion in on-line gaming, IGA serves as a vital indicator for assessing digital well being dangers amongst adolescents (Gioia et al., 2022; Kuss et al., 2021). In China, the prevalence of IGA amongst adolescents is especially pronounced, starting from 2.2 to 21.5%, such prevalence is effectively above that reported for friends in these Western areas, starting from 1.4 to 9.9% (Quancai et al., 2023). Studies have proven that IGA not solely severely undermines adolescents’ educational efficiency but additionally has profound unfavourable results on their psychological well being (Abbas, 2022). Therefore, investigating the causes and mechanisms underlying adolescent IGA is essential for designing profitable prevention and intervention measures.

Existing analysis has recognized elements akin to autism spectrum dysfunction, social bullying, sleep high quality, consideration deficits, and social loneliness (SL) as being related to IGA amongst adolescents (Berloffa et al., 2022; Eltahir et al., 2025; Hammad et al., 2024; Nwanosike et al., 2022). Among these elements, adolescence represents a very delicate interval for the expertise of SL, an emotional state thought to be a big psychological contributor to IGA on this age group (Gan et al., 2022; Haberlin and Atkin, 2022). Furthermore, escape motivation (EM) and self-control (SC) are additionally key variables for understanding adolescent IGA. Prior research have demonstrated that stronger EM and weaker SC improve the chance of IGA amongst adolescents (Carmona and Whiting, 2021; Gu and Mao, 2023; Yu et al., 2023).

Although quite a few research have examined how SL is related to adolescents’ on-line gaming behaviors, analysis on its relationship with EM and SC stays restricted. In specific, present literature has supplied restricted perception into the mechanisms by which SL is not directly related to IGA by way of its hyperlinks with EM and SC. To bridge this hole in analysis, the research at hand, grounded within the Compensatory Internet Use Theory (CIUT), constructs a mannequin encompassing SL, EM, SC, and IGA. The research seeks to make clear how SL is related to IGA in adolescents, thereby offering empirical proof to tell prevention and intervention efforts concentrating on this urgent concern.

2. Theoretical underpinning and hypotheses

2.1. Theoretical underpinning

As outlined by the CIUT, people usually use the Internet as a way to fill the gaps or unmet wants of their real-world experiences, notably when confronted with unfavourable feelings and stressors. In such circumstances, the Internet presents a way of escape (Kardefelt-Winther, 2014). This concept has been extensively validated in analysis on digital behaviors and supplies an vital explanatory framework for understanding adolescent IGA (Fu et al., 2020). When adolescents expertise robust emotions of SL in actual life, the immersive expertise and immediate rewards supplied by Internet video games function a strong compensatory mechanism that meets their unmet social wants (Quancai et al., 2023). Research means that people who face social isolation of their on a regular basis lives have a tendency to hunt refuge on-line, because the web supplies non permanent aid from unfavourable feelings (Fan et al., 2022). Nevertheless, this compensatory utilization is basically a maladaptive coping mechanism; relying on it to regulate disagreeable emotions incessantly compromises SC, leading to overuse and, finally, addicted behaviors (Liu et al., 2024). Therefore, adopting the CIUT because the theoretical framework permits a transparent clarification of how SL is related to adolescent IGA by way of its hyperlinks with EM and SC. This mannequin presents a novel strategy to comprehend the psychological dynamics driving adolescent dependancy and serves as a strong theoretical basis for crafting intervention strategies.

2.2. Hypotheses

2.2.1. Social loneliness and web gaming dependancy

SL is conceptualized because the perceived lack of broader social networks and peer interactions, distinct from emotional loneliness, which displays the absence of shut attachment relationships (Weiss, 1973). SL has been discovered to be positively related to IGA in adolescents, suggesting that higher emotions of social isolation could improve vulnerability to problematic gaming behaviors (Bal and Balcı, 2026; Dong et al., 2024; Mun and Lee, 2022). Notably, these findings pertain particularly to adolescent populations, highlighting the developmental relevance of social experiences at this age. For instance, Yu et al. (2022) discovered that socially lonely adolescents elevated their gaming time to deal with unfavourable feelings and preserve social connections in digital environments. Other research with adolescent samples have equally discovered that greater SL is linked to higher danger of problematic gaming (Mihaliková and Dedová, 2024; Yu et al., 2023). From the attitude of the CIUT, adolescents who’re struggling SL could use gaming as a coping mechanism to get away from disagreeable emotions or social difficulties in actual life, which instantly contributes to the event of IGA (Kardefelt-Winther, 2014). These outcomes recommend that SL is a key psychosocial danger issue for adolescent IGA. Based on this proof and theoretical rationale, the current research proposes:

H1: SL is considerably and positively related to IGA.

2.2.2. The mediating function of escape motivation

In the context of on-line video games, EM is outlined because the inclination of people to deliberately have interaction in Internet gaming as a way of escaping from the true world or avoiding issues of their social lives (Caplan et al., 2009). Research signifies a constructive hyperlink between SL and EM amongst adolescents (Chen et al., 2023). Recent proof additionally emphasizes that the interaction between parental mediation, social abilities, and escape-driven gaming is developmentally particular to adolescence, highlighting that these processes could function in a different way than in adults (Commodari et al., 2024). Negative feelings akin to SL can lead people to kind unfavourable expectations about interpersonal interactions, thereby prompting them to keep away from real-life social engagement (Wei et al., 2023). To show, Li J. et al. (2021) discovered that EM is a product of loneliness; the loneliness stemming from unsatisfactory social interactions prompts EM in adolescents. Moreover, people experiencing SL are extra liable to creating altered views of each their very own identification and the world round them, leading to robust dissatisfaction with actual life (Zhen et al., 2019). As outlined by the CIUT, such dissatisfaction could drive people towards the digital world, decreasing interactions with others in the true world and fostering stronger EM (Kardefelt-Winther, 2014). These findings recommend that SL is a crucial predictor of adolescents’ EM. However, analysis on the hyperlink between SL and EM stays restricted, making additional investigation important to understanding the psychological mechanisms underlying adolescent IGA.

Research signifies a constructive hyperlink between EM and IGA amongst adolescents (Hellström et al., 2012; Melodia et al., 2022). Within the realm of Internet gaming, adolescents’ EM manifests as a want to quickly flee from unfavourable emotional states by way of extremely immersive gaming experiences (Cudo et al., 2022; Myrseth et al., 2017; Nebel and Ninaus, 2022). Specifically, Liao et al. (2020) reported that amongst Chinese adolescent players, escape motivation was positively related to Internet gaming engagement and gaming dysfunction, indicating that adolescents usually play video games to quickly keep away from unfavourable feelings or real-life stressors. In addition, people experiencing SL usually have extremely unfavourable experiences of their real-life interpersonal relationships and may resort to the Internet to flee this sense of isolation, which might contribute to IGA (Fernandes et al., 2020; Lopez-Fernandez et al., 2018; Öz and Üstün, 2022). For instance, Slack et al. (2022) reported that socially lonely people are extra motivated to interact in game-related digital communities to make up for the absence of real-life social connections and assist. In abstract, SL could also be instantly related to IGA and can also be not directly linked to it by way of greater ranges of EM. Building on this, the research formulates the next speculation:

H2: EM acts as a mediator between SL and IGA.

2.2.3. The mediating function of self-control

SC refers back to the regulation of cognition, emotion, and habits to attain long-term targets (Tangney et al., 2004). Research has proven that SL is negatively related to people’ ranges of SC (Jeon et al., 2022; Jeong et al., 2019). This is as a result of the expertise of SL depletes the psychological sources mandatory for profitable SC, and SC sources are restricted; when these sources are exhausted, people’ skill to control their habits is weakened (Campbell et al., 2006; Stavrova et al., 2022). For occasion, Li X. W. et al. (2021) discovered that amongst adolescents, unfavourable feelings akin to SL eat psychological sources, resulting in elevated boredom and diminished self-control. Furthermore, adolescents experiencing long-term SL are extra liable to favoring speedy gratification and present considerably diminished persistence in pursuing long-term targets, additional damaging their SC sources (Yue et al., 2022). Based on this evaluation, it may be inferred that SL undermines adolescents’ SC.

Research has proven a big unfavourable affiliation between SC and IGA amongst adolescents (Cudo et al., 2020; Jing et al., 2026). Specifically, greater SC in adolescents is related to improved regulation of irrational cognitions, feelings, and behaviors. As a end result, they handle maladaptive on-line behaviors extra successfully and present diminished reliance on the Internet, thereby considerably reducing the chance of IGA (Jeon et al., 2022; Quancai et al., 2023). For instance, Phetphum et al. (2023) discovered that these with greater SC are inclined to handle their feelings successfully and exhibit a higher sense of duty, leading to a decrease prevalence of IGA. In addition, the extra SL adolescents expertise, the stronger their motivation to satisfy emotional wants, whereas their SC could also be additional diminished (Yue et al., 2022). For instance, school pupil analysis has proven that SL can cut back SC, improve the gratification derived from Internet gaming, and consequently heighten the chance of dependancy (Guo et al., 2024), suggesting an analogous mechanism could function in youthful populations. In abstract, SL could also be instantly related to IGA and can also be not directly linked to it by way of decrease ranges of SC. Building on this, the current analysis formulates the next speculation:

H3: SC acts as a mediator between SL and IGA.

2.3. Current analysis

This research examined the affiliation between SL and IGA amongst adolescents, specializing in EM and SC as parallel mediators. Guided by the CIUT framework, a mediation mannequin (Figure 1) was constructed to discover whether or not these pathways clarify the SL–IGA hyperlink.

Figure 1.

Research mannequin.

3. Methods

3.1. Participants

This research employed a multi-school questionnaire survey design for questionnaire distribution and information assortment, and the survey was administered through the net platform Wenjuanxing.1 Ethical approval was granted by the Wenshan University Ethics Committee, and information have been collected from October to November 2025. Middle faculty college students have been recruited from a number of colleges in China by way of school-based coordination and on-line questionnaire distribution. Rather than claiming nationwide representativeness, this research aimed to incorporate college students from totally different faculty contexts to reinforce pattern heterogeneity. However, detailed data concerning the variety of taking part colleges, geographic areas, city–rural distribution, and socioeconomic composition was not totally recorded throughout information assortment. Thus, the generalizability of the outcomes warrants warning. Before participation, all individuals have been briefed on the research and assured confidentiality. It was fully voluntary to take part, and knowledgeable consent was obtained in accordance with moral necessities.

In accordance with the pattern dimension estimation tips supplied by Kline (2018), structural equation modeling requires not less than 10 individuals per merchandise, with a further 20% allowance for potential pattern loss. Given that the questionnaire contained 50 gadgets, the estimated required pattern dimension was 600 individuals (50 × 10 × 1.2). A sum of 774 questionnaires was obtained, with 43 deemed invalid, leading to 731 usable responses. The efficient response price was 94%, indicating a ample pattern dimension and good information high quality to assist mannequin development and statistical inference. To decrease bias from ceiling and flooring results, surveys have been excluded if (1) over 20% of things have been unanswered or (2) greater than 80% of responses have been excessive (Dong et al., 2012).

The majority of individuals have been between 14 and 17 years previous (accounting for 89.19% of the pattern). Regarding gender distribution, there have been 427 males (58.41%) and 304 females (41.59%), reflecting a comparatively balanced and consultant group (Table 1).

Table 1.

Demographic data of individuals.

Variable Count Percentage
Gender
Male 427 58.41%
Female 304 41.59%
Age
13 years previous or beneath 42 5.75%
14–15 years 313 42.82%
16–17 years 339 46.37%
18 years previous or above 37 5.06%
Grade
Junior highschool 357 48.84%
High faculty 374 51.16%
Family financial standing
Poor 99 13.54%
Average 536 73.33%
Good 96 13.13%
Place of residence
Urban 357 48.84%
Rural 374 51.16%
Only baby
Yes 310 42.41%
No 421 57.59%

To management for potential demographic confounds, variations in IGA ranges have been in contrast throughout key demographic teams (see Table 2). Analysis indicated that IGA didn’t differ considerably with age, educational grade, or household socioeconomic background (all p > 0.05). In distinction, a statistically vital distinction emerged between genders (p < 0.05), main us to incorporate gender as a covariate in all subsequent analyses.

Table 2.

Variations in IGA by demographic elements.

Demographic variables t F p
Gender 4.738 <0.001
Grade 0.845 0.399
Only baby 1.085 0.278
Place of residence 1.724 0.085
Age 1.567 0.196
Family financial standing 2.170 0.115

3.2. Measures

3.2.1. Social loneliness scale (SLS)

This analysis employed the SLS developed by Hays and DiMatteo (1987) to evaluate adolescents’ experiences of SL. There are eight gadgets within the scale, together with two reverse-scored gadgets (e.g., “When I need companionship, I can find a friend or acquaintance”), and employs a Likert scale with 4 factors, from 1 (by no means) to 4 (incessantly). Responses are summed, accounting for reverse-scored gadgets, with greater scores reflecting greater loneliness. Although the SLS was initially developed as a common measure of loneliness, its gadgets predominantly assess perceived deficiencies in social connections and interactions, which aligns with the idea of social loneliness operationalized on this research. In Chinese adolescent samples, the SLS has demonstrated robust validity and reliability (Zhou et al., 2026). Reliability evaluation confirmed the size to have acceptable inside consistency (Cronbach’s α = 0.816). The dataset was acceptable for issue evaluation, with KMO = 0.859 and a big Bartlett’s check (p < 0.001).

3.2.2. Motives for on-line gaming questionnaire (MOGQ)

This analysis utilized the Escape Motivation subscale of the MOGQ developed by Demetrovics et al. (2011) to measure adolescents’ EM. The subscale contains 4 gadgets rated on a 5-point Likert scale (1 = by no means, 5 = at all times), with greater scores reflecting stronger EM. Research has indicated that the subscale demonstrates passable reliability and validity in Chinese populations (Gu and Mao, 2023). With a Cronbach’s α of 0.869, the subscale on this research demonstrated good inside reliability. KMO of 0.740 and a big Bartlett’s check (p < 0.001) confirmed the info have been acceptable for issue evaluation.

3.2.3. Self-control scale (SCS)

This analysis employed the SCS developed by Tangney et al. (2004) to evaluate adolescents’ ranges of SC. The scale consists of 19 gadgets protecting 5 dimensions: impulse management, resistance to temptation, give attention to research, wholesome habits, and reasonable leisure. Fifteen reverse-coded gadgets are scored on a 5-point Likert scale (1 = fully true, 5 = fully unfaithful), with greater scores representing greater SC. Among Chinese adolescents, the SCS exhibits good reliability and validity (Xie et al., 2026). Reliability evaluation indicated the size had glorious inside consistency (Cronbach’s α = 0.900). KMO (0.931) and Bartlett’s check (p < 0.001) confirmed suitability for issue evaluation.

3.2.4. Internet gaming dependancy scale (IGAS)

This analysis used the IGAS developed by Charlton and Danforth (2007) to evaluate adolescents’ IGA. The 13-item scale covers 4 dimensions: private battle (4), withdrawal (3), relapse (3), and behavioral salience (3). Responses are rated on a 7-point Likert scale (1 = strongly disagree, 7 = strongly agree), with greater scores indicating higher IGA severity. Evidence from earlier analysis signifies that the IGAS demonstrates passable reliability and validity amongst Chinese adolescents (Wang and Zhang, 2026). The scale confirmed excessive reliability (Cronbach’s α = 0.946), with KMO = 0.947 and a big Bartlett’s check (p < 0.001), confirming issue evaluation suitability.

4. Statistical evaluation

IBM SPSS model 27.0 was used for statistical analyses. Internal consistency and assemble validity have been assessed utilizing Cronbach’s α, CR, and AVE, and descriptive statistics and normality checks have been carried out for all research variables. Potential frequent technique bias (CMB) was first examined through Harman’s single-factor check and additional evaluated utilizing confirmatory issue evaluation (CFA) and the unmeasured latent technique assemble (ULMC) method in AMOS. AMOS was employed solely to evaluate the match of the four-factor measurement mannequin and evaluate it with a technique issue mannequin, and was not used to estimate the mediation mannequin.

Pearson correlations have been then calculated to look at associations amongst SL, EM, SC, and IGA. Parallel mediation was examined utilizing the SPSS PROCESS macro (Model 4), with SL because the unbiased variable, EM and SC as parallel mediators, and IGA because the dependent variable, controlling for gender (dummy coded as 1 = male, 2 = feminine). Indirect results have been estimated through 5,000 bootstrap samples, with 95% bias-corrected CIs used to evaluate significance (Preacher and Hayes, 2008). The R2 values for SL → EM and SL → SC have been 0.160 and 0.201, indicating reasonable impact sizes. Although a proper energy evaluation was not performed, these outcomes recommend the oblique results are significant. Because PROCESS estimates paths from noticed scores, measurement error was in a roundabout way modeled; CFA outcomes present preliminary assist for the reliability and validity of the measures.

5. Results

5.1. Descriptive statistics

Normality was assessed utilizing skewness and kurtosis to make sure the info met multivariate evaluation assumptions and to assist the reliability of statistical checks. As famous by Kline (2015), Values of skewness beneath an absolute worth of two and kurtosis beneath 7 could be thought-about indicative of normality. The skewness and kurtosis indices for the primary variables on this analysis fell inside acceptable ranges, indicating that the info typically adhered to the conventional distribution sample (see Table 3).

Table 3.

Variables N M ± SD SK Kur
SL 731 16.343 ± 4.558 0.370 0.271
EM 731 8.287 ± 3.329 0.541 0.211
SC 731 64.118 ± 11.834 0.306 0.301
IGA 731 32.878 ± 15.369 0.427 −0.437

5.2. Composite reliability and validity

The outcomes of the reliability and validity assessments for all constructs are displayed in Table 4. According to Fornell and Larcker (1981), CR values higher than 0.70 point out acceptable reliability, and Cronbach’s α values above 0.70 are thought-about passable (Hayes, 2018). All constructs had CR and Cronbach’s α above the really useful thresholds (Table 4), indicating dependable inside consistency. Convergent validity was then assessed utilizing the AVE, with values above 0.50 thought-about acceptable (Hayes, 2018). The outcomes present that the AVE values for all constructs exceeded 0.50, suggesting good convergence among the many measurement indicators.

Table 4.

Reliability and convergent validity.

Constructs CR Cronbach’s α AVE
SL 0.889 0.816 0.504
EM 0.865 0.869 0.622
SC 0.952 0.900 0.565
IGA 0.942 0.946 0.558

5.3. Common technique bias and confirmatory issue evaluation

Harman’s single-factor check was initially used to judge CMB. The first element defined 35.48% of the entire variance, in line with the info, which was lower than the extensively accepted cutoff of 40% (Podsakoff et al., 2003). However, as a result of Harman’s single-factor check has been criticized as inadequate when used alone, a CFA-based ULMC method was additional performed in AMOS.

Because the current research included 4 key latent variables, particularly SL, EM, SC, and IGA, a four-factor CFA mannequin was first constructed, with the gadgets of every scale loading onto their corresponding latent issue. As proven in Table 5, the baseline four-factor mannequin confirmed acceptable match. This baseline mannequin was then supplemented with a shared latent technique issue, enabling all noticed gadgets to load on each the strategy issue and their theoretical constructs. The technique issue mannequin demonstrated passable match, with minimal variations in match indices in comparison with the baseline mannequin, all beneath really useful thresholds (Marsh and Hocevar, 1985). These information recommend that the outcomes are unlikely to have been considerably impacted by frequent method bias.

Table 5.

Fit statistics for CFA and comparability of baseline and ULMC fashions.

Fit index Reference worth Final mannequin Method issue mannequin Model match distinction Evaluation criterion
CMIN/DF <5 2.456 2.444
RMSEA <0.080 0.045 0.044 0.001 <0.05
GFI >0.850 0.879 0.881 0.002 <0.01
AGFI >0.850 0.854 0.855 0.001 <0.01
CFI >0.900 0.941 0.942 0.001 <0.01
IFI >0.900 0.942 0.942 0.000 <0.01
TLI >0.900 0.932 0.933 0.001 <0.01

Furthermore, multi-group CFA was used to analyze if the measurement mannequin was gender-neutral. Given the comparatively massive variety of indicators, configural invariance was examined. The configural mannequin confirmed acceptable match (χ2 = 3251.038, df = 1,646, χ2/df = 1.975, CFI = 0.923, RMSEA = 0.037), suggesting that the general issue construction was related throughout female and male teams.

5.4. Collinearity diagnostics

To guarantee the steadiness of the mannequin and the validity of its outcomes, multicollinearity was assessed. All variables had tolerance above 0.1 and VIF beneath 3.3, indicating no multicollinearity points (Table 6) (Hair et al., 2019).

Table 6.

Multicollinearity evaluation for the structural mannequin.

Variable Tolerance VIF
SL 0.773 1.293
EM 0.696 1.437
SC 0.649 1.542

5.5. Correlations amongst research variable

This research performed correlation analyses to look at the relationships amongst SL, EM, SC, and IGA. As proven in Table 7, SL was positively correlated with EM (r = 0.376, p < 0.001) and IGA (r = 0.354, p < 0.001), and negatively correlated with SC (r = −0.447, p < 0.001). IGA was strongly positively related to EM (r = 0.744, p < 0.001) and negatively with SC (r = −0.625, p < 0.001). Therefore, H1 is supported.

Table 7.

Correlation evaluation of variables.

Variable 1 2 3 4
SL 1
EM 0.376*** 1
SC −0.447*** −0.529*** 1
IGA 0.354*** 0.744*** −0.625*** 1

5.6. Mediation impact evaluation

After controlling for gender, mediation analyses have been carried out utilizing PROCESS Model 4. Gender was dummy coded (1 = male, 2 = feminine) and included as a covariate within the PROCESS mediation mannequin. As proven in Table 8 and Figure 2, SL was positively related to EM (β = 0.379, p < 0.001) and negatively related to SC (β = −0.446, p < 0.001). EM was positively related to IGA (β = 0.550, p < 0.001), whereas SC was negatively related to IGA (β = −0.342, p < 0.001). The direct path from SL to IGA was not vital (β = −0.003, 95% CI [−0.053, 0.046]), whereas the oblique results by way of EM (β = 0.208, 95% CI [0.161, 0.261]) and SC (β = 0.152, 95% CI [0.116, 0.191]) have been vital, indicating that these mediators collectively accounted for the affiliation between SL and IGA. The R2 values for SL → EM and SL → SC have been 0.160 and 0.201, respectively, indicating reasonable impact sizes. These outcomes recommend that the recognized mediating mechanisms have significant sensible implications, as interventions concentrating on EM and SC might considerably cut back the chance of adolescent IGA.

Table 8.

Mediation mannequin regression outcomes.

Predictor variables Outcome variables β(std) SE t Bootstrap 95% CI R
2
F
LLCI ULCI
SL EM 0.379*** 0.034 11.144 0.312 0.445 0.160 69.275
Gender −0.276*** 0.069 −4.012 −0.412 −0.141
SL SC −0.446*** 0.033 −13.467 −0.511 −0.381 0.201 91.749
Gender −0.080 0.067 −1.190 −0.212 0.052
SL IGA −0.003 0.025 −0.127 −0.053 0.046 0.641 324.136
EM 0.550*** 0.027 20.264 0.496 0.603
SC −0.342*** 0.028 −12.282 −0.396 −0.287
Gender −0.235*** 0.046 −5.116 −0.325 −0.145

Figure 2.

Mediation mannequin diagram.

As proven in Table 9 and Figure 2, the entire impact of SL on IGA was vital (β = 0.357, 95% CI = [0.291, 0.424]), indicating a constructive affiliation between SL and IGA. The direct impact of SL on IGA was not vital (β = −0.003, 95% CI = [−0.053, 0.047]), displaying the connection is totally mediated by way of EM and SC. Both parallel oblique paths have been vital: the oblique impact by way of EM was 0.208 (95% CI = [0.161, 0.258]), accounting for 58.26% of the entire impact, whereas the oblique impact by way of SC was 0.152 (95% CI = [0.117, 0.192]), accounting for 42.58% of the entire impact. Moreover, the oblique impact by way of EM was bigger than that by way of SC. Therefore, H2 and H3 have been supported.

Table 9.

Mediation results of EM and SC within the affiliation between SL and IGA.

Effect Path β Bootstrap 95% CI Percentage (%)
LLCI ULCI
Total impact SL → IGA 0.357 0.291 0.424 100.00
Direct impact SL → IGA −0.003 −0.053 0.047 −0.84
Indirect impact SL → EM → IGA 0.208 0.161 0.258 58.26
SL → SC → IGA 0.152 0.117 0.192 42.58

6. Discussion

As hypothesized, SL was not directly associated to IGA by way of EM and SC, whereas the direct affiliation between SL and IGA was non-significant. Specifically, adolescents experiencing greater SL reported greater ranges of EM and decrease ranges of SC, which have been in flip related to higher engagement in problematic gaming. These findings assist the complete mediation mannequin and align with the CIUT, highlighting EM and SC as two distinct however complementary inside pathways linking SL to adolescent IGA.

6.1. Social loneliness and web gaming dependancy

The findings of this analysis indicated that SL strongly and positively forecasted IGA in adolescents, supporting H1. This end result agrees with the analysis of Yu et al. (2022), indicating that people with greater SL have a tendency to make use of on-line gaming to satisfy these wants, rising their susceptibility to gaming dependancy. As acknowledged within the CIUT, Internet gaming supplies people with an vital technique of dealing with real-life stress, assuaging unfavourable feelings, and compensating for unmet social wants (Melodia et al., 2022). Immersed within the digital world of Internet video games, gamers fulfill primary psychological wants—akin to identification expression, social connection, and creativity—by way of teamwork, achievement, and different in-game actions (Giardina et al., 2021). However, this compensatory achievement carries potential unfavourable penalties. Although adolescents could quickly relieve emotions of loneliness by way of Internet gaming, the underlying causes of their SL stay unaddressed. In truth, Internet gaming could substitute actions mandatory for sustaining wholesome relationships or forming new ones, thereby exacerbating their SL over time (Sporcic and Glavak-Tkalic, 2023). Therefore, the outcomes of this investigation spotlight the vital function of SL within the growth of IGA amongst adolescents and additional validate the applicability of the CIUT on this context. These outcomes recommend that school-based psychological well being applications ought to give attention to adolescents’ social well-being, foster supportive social environments, and assist meet adolescents’ psychological wants in actual life, thereby addressing the basis causes and in the end decreasing the incidence of IGA.

6.2. The mediating function of escape motivation

EM served as a mediator between SL and IGA amongst adolescents, supporting H2. The direct impact of SL on IGA was non-significant (β = −0.003, 95% CI [−0.053, 0.046]) when EM was included, suggesting full mediation. This discovering means that the impact of SL on IGA operates totally by way of EM, highlighting the central function of EM as the inner mechanism linking SL to addictive gaming behaviors. From the attitude of the CIUT framework, persistent SL as a unfavourable emotional expertise reinforces a bent to keep away from real-life stressors, prompting adolescents to make use of Internet gaming as a compensatory technique to alleviate unfavourable feelings (Kardefelt-Winther, 2014). SL drives adolescents to make use of the Internet for leisure, in search of an escape from actuality and a strategy to cut back their emotions of loneliness (Gabbiadini et al., 2021; Killgore et al., 2020). In this course of, adolescents who incessantly flip to gaming to keep away from real-world challenges could develop cognitive distortions associated to gaming, which additional contributes to IGA (Xu et al., 2025). Moreover, heightened EM can result in adolescents’ disengagement from real-world social actions, additional rising their danger of IGA (Zhen et al., 2019). The disappearance of the direct path signifies that the compensatory use of Internet gaming totally accounts for the impact of SL on IGA. This mechanism is in step with prior analysis displaying that EM is a key consider problematic gaming behaviors (Xu et al., 2025), whereas extending earlier work by demonstrating full mediation of SL on IGA by way of EM in a pattern of adolescents. In abstract, this analysis highlights an inside pathway linking SL and adolescent IGA by way of EM. The full mediation emphasizes that interventions aiming to scale back IGA in socially lonely adolescents ought to goal EM instantly, relatively than making an attempt to scale back SL alone. Educational establishments and fogeys ought to offer assist for adolescents in enhancing their social abilities and increasing their social networks, thereby diminishing reliance on gaming as an escape or compensatory habits.

6.3. The mediating function of self-control

The analysis indicated that SC acted as a mediator within the connection between SL and IGA in adolescents, supporting H3. Importantly, the direct path from SL to IGA turned non-significant when SC was included within the mannequin, indicating full mediation. This discovering means that the impact of SL on IGA operates totally by way of deficits in SC, highlighting self-regulatory processes as the important thing inside mechanism linking SL to addictive gaming behaviors. From the attitude of the CIUT framework, SL generates unfavourable emotional experiences that deplete self-regulatory sources, making adolescents extra prone to compensatory Internet gaming (Kardefelt-Winther, 2014). Adolescents with low SC discover it troublesome to control their Internet use rationally and usually tend to change into excessively immersed within the pleasures related to on-line actions (Quancai et al., 2023). The full mediation by way of SC signifies that deficits in self-regulatory capability totally clarify the hyperlink between SL and IGA. This end result aligns with prior analysis displaying that decrease SC is related to maladaptive gaming behaviors in adolescent populations (Hu et al., 2025; Xiang et al., 2022), whereas extending earlier work by offering direct proof of full mediation in a youthful pattern. From a CIUT perspective, social loneliness-induced emotional depletion undermines SC, which totally accounts for the noticed affiliation with IGA. In abstract, this research reveals the inner pathway by way of which SL will increase adolescent IGA by weakening SC. The discovering of full mediation underscores that interventions ought to prioritize strengthening adolescents’ SC skills, improve impulse inhibition, and construct psychological sources to withstand on-line temptations, relatively than solely specializing in decreasing SL.

7. Implications and limitations

7.1. Theoretical implications

Grounded within the CIUT, this research systematically constructed and validated a structural mannequin linking SL, IGA, EM, and SC. By incorporating SL, a key psychological variable, into the framework of the CIUT to elucidate the mechanisms underlying adolescent IGA, this research broadens the speculation’s scope past its conventional emphasis on social environmental elements like household and friends. The findings illuminate the inner connections by way of which psychological wants arising from social deprivation are compensated for through Internet gaming, thereby increasing the appliance of the CIUT within the context of Internet dependancy analysis and enriching views on the research of IGA.

In addition, this research confirmed the numerous mediating roles of EM and SC within the affiliation between SL and IGA, highlighting the roles of inside motivation and behavioral regulation in adolescent IGA. By validating these mediating pathways, the research supplies a extra refined mannequin for understanding the psychological processes underlying addictive behaviors.

In sum, this analysis advances our theoretical comprehension of the underlying causes of IGA and stresses the need for future research to look at how people’ inside psychological processes have an effect on their habits, thereby advancing interdisciplinary integration within the fields of Internet use behaviors and psychological well being.

7.2. Practical implications

The findings supply sensible implications for addressing adolescent IGA by specializing in the mediating mechanisms of EM and SC, in mild of the complete mediation outcomes.

First, on the faculty stage, the findings point out that interventions ought to give attention to decreasing escape-motivated gaming and enhancing SC relatively than making an attempt to scale back gaming solely by addressing SL. Because SL influences IGA totally by way of EM and SC, efforts that instantly goal these mediating mechanisms—akin to structured peer interactions to scale back reliance on gaming as an escape, and digital literacy applications to develop more healthy coping methods—are anticipated to be simplest. Schools could present extra alternatives for peer interplay by way of sports activities, arts, science golf equipment, and different structured extracurricular actions, which may also help adolescents cut back escape-motivated gaming. Teachers can also profit from primary coaching to acknowledge indicators of problematic gaming and lack of SC, in order that well timed assist could be supplied.

Second, on the household stage, interventions ought to give attention to enhancing adolescents’ SC and decreasing escape-oriented gaming motives. Parents can assist adolescents by serving to them set up affordable routines for display screen use, research, relaxation, and recreation, and by reinforcing self-regulation abilities in day by day contexts. Efforts ought to goal the mechanisms by way of which SL results in IGA, relatively than making an attempt to instantly cut back loneliness itself.

Finally, on the particular person stage, adolescents could profit from methods that strengthen SC and cut back escape-oriented gaming motives. For instance, they could be inspired to set lifelike limits on gaming time, use self-monitoring instruments, take part in offline actions, and search peer or grownup assist when feeling socially remoted. Since SL doesn’t exert a direct impact on IGA, interventions aimed toward decreasing escapism-driven gaming and enhancing self-regulation are essential, as these are the mechanisms by way of which SL will increase gaming dependancy danger. Prevention and intervention efforts ought to due to this fact place higher emphasis on concentrating on EM and SC, relatively than focusing solely on gaming frequency itself.

7.3. Limitations

This analysis made notable strides in inspecting the hyperlinks between SL, EM, SC, and IGA. Nonetheless, sure limitations have to be acknowledged, and extra research are required to deal with these considerations.

First, this research utilized a cross-sectional analysis design. Although the CIUT supplied a theoretical foundation for the directional assumptions of the variable relationships, and the research examined the mediating results, causal relationships between variables couldn’t be established. Long-term analysis designs are wanted in future research to observe how these variables change over time and uncover the cause-and-effect relationships between them.

Second, self-reported information could also be affected by social desirability and recall biases. While CFA supported the measurement mannequin, PROCESS estimates paths utilizing noticed composite scores and doesn’t account for measurement error. Future analysis might use full SEM to concurrently estimate measurement and structural fashions, and incorporate multi-source information to enhance reliability. In addition, though a proper energy evaluation for the mediation results was not performed, the reasonable R2 values for SL → EM (0.160) and SL → SC (0.201) and vital bootstrap CIs recommend the noticed oblique results are significant. Simulation-based energy analyses might additional complement these leads to future research.

Third, this research targeted on adolescents in China. While most scales (SLS, SCS, and IGAS) have been validated in Chinese adolescent populations, the EM subscale of the MOGQ has solely been validated in Chinese college college students, which can restrict cross-cultural measurement equivalence. Additionally, on condition that the SLS was initially developed as a common loneliness measure, it could not totally seize the conceptual distinction between social and emotional loneliness, which might have an effect on the specificity of the noticed relationships. Future analysis might make use of devices that explicitly distinguish social from emotional loneliness, and validate the EM subscale amongst Chinese adolescents to reinforce measurement precision and cross-cultural generalizability. Moreover, to additional enhance the generalizability and cultural relevance of the findings, future research ought to incorporate adolescents from numerous cultural contexts. Although configural invariance throughout gender was supported, stricter types of measurement invariance weren’t totally examined. Future research might additional check metric and scalar invariance throughout gender to strengthen comparability between female and male adolescents.

8. Conclusion

Grounded within the CIUT, this analysis recognized systematic pathways linking SL and IGA amongst adolescents. The findings indicated that EM and SC totally mediated SL’s affiliation with IGA. This analysis advances the theoretical understanding of adolescent IGA by exploring the elements at play and offering deeper insights into the inner processes associated to EM and SC, providing new instructions for future analysis. In sum, this research presents theoretical assist for the hyperlink between SL and IGA and supplies insights for stopping and addressing adolescent IG, whereas highlighting potential avenues for future investigation.

Funding Statement

The creator(s) declared that monetary assist was not acquired for this work and/or its publication.

Data availability assertion

The datasets offered on this research could be present in on-line repositories. The names of the repository/repositories and accession quantity(s) could be discovered within the article/supplementary materials.

Ethics assertion

The research involving people have been authorized by the researchers confirms that each one analysis was carried out in accordance with related tips/rules relevant when human individuals are concerned (e.g., Declaration of Helsinki or related). This research was authorized by the Ethics Committee of Wenshan University. The research have been performed in accordance with the native laws and institutional necessities. Written knowledgeable consent for participation on this research was supplied by the individuals’ authorized guardians/subsequent of kin.

Author contributions

QG: Formal evaluation, Methodology, Investigation, Writing – overview & modifying. HW: Conceptualization, Supervision, Writing – authentic draft.

Conflict of curiosity

The creator(s) declared that this work was performed within the absence of any industrial or monetary relationships that could possibly be construed as a possible battle of curiosity.

Generative AI assertion

The creator(s) declared that Generative AI was not used within the creation of this manuscript.

Any different textual content (alt textual content) supplied alongside figures on this article has been generated by Frontiers with the assist of synthetic intelligence and affordable efforts have been made to make sure accuracy, together with overview by the authors wherever attainable. If you establish any points, please contact us.

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References

  1. Abbas H. (2022). The relation of motivation elements for on-line video games with character issues, dependancy, shyness, and loneliness in Kuwait. Int. J. Gaming Comput. Mediat. Simul.
    14:5873. doi: 10.4018/ijgcms.295873
    [DOI] [Google Scholar]
  2. Bal E., Balcı Ş. (2026). Behind the display screen: the impact of social and emotional loneliness on digital sport dependancy. Int. J. Technol. Educ.
    9, 88–108. doi: 10.46328/ijte.5085
    [DOI] [Google Scholar]
  3. Berloffa S., Salvati A., D’Acunto G., Fantozzi P., Inguaggiato E., Lenzi F., et al. (2022). Internet gaming dysfunction in youngsters and adolescents with consideration deficit hyperactivity dysfunction. Children
    9:428. doi: 10.3390/children9030428,
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Block J. J. (2008). Issues for DSM-V: web dependancy. Am. J. Psychiatry
    165, 306–307. doi: 10.1176/appi.ajp.2007.07101556,
    [DOI] [PubMed] [Google Scholar]
  5. Campbell W. Ok., Krusemark E. A., Dyckman Ok. A., Brunell A. B., McDowell J. E., Twenge J. M., et al. (2006). A magnetoencephalography investigation of neural correlates for social exclusion and self-control. Soc. Neurosci.
    1, 124–134. doi: 10.1080/17470910601035160,
    [DOI] [PubMed] [Google Scholar]
  6. Caplan S., Williams D., Yee N. (2009). Problematic web use and psychosocial well-being amongst MMO gamers. Comput. Human Behav.
    25, 1312–1319. doi: 10.1016/j.chb.2009.06.006
    [DOI] [Google Scholar]
  7. Carmona J., Whiting J. (2021). Escaping the escapism: a grounded concept of the dependancy and restoration course of in on-line video gaming. Qual. Rep.
    26, 2171–2188. doi: 10.46743/2160-3715/2021.4643, 39386316
    [DOI] [Google Scholar]
  8. Çelikkaleli Ö., Ata R., Alpaslan M. M., Tangülü Z., Ulubey Ö. (2025). Examining the roles of problematic web use and emotional regulation self-efficacy on the connection between digital sport dependancy and motivation amongst Turkish adolescents. Behav. Sci.
    15:241. doi: 10.3390/bs15030241,
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Charlton J. P., Danforth I. D. W. (2007). Distinguishing dependancy and excessive engagement within the context of on-line sport taking part in. Comput. Human Behav.
    23, 1531–1548. doi: 10.1016/j.chb.2005.07.002
    [DOI] [Google Scholar]
  10. Chen Y. X., Li R. X., Liu X. P. (2023). Problematic smartphone utilization amongst Chinese adolescents: function of social/non-social loneliness, use motivations, and grade distinction. Curr. Psychol.
    42, 11529–11538. doi: 10.1007/s12144-021-02458-0
    [DOI] [Google Scholar]
  11. Commodari E., Consiglio A., Cannata M., La Rosa V. L. (2024). Influence of parental mediation and social abilities on adolescents’ use of on-line video video games for escapism: a cross-sectional research. J. Res. Adolesc.
    34, 1668–1678. doi: 10.1111/jora.13034,
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Cudo A., Misiuro T., Griffiths M. D., Torój M. (2020). The relationship between problematic video gaming, problematic Facebook use, and self-control dimensions amongst feminine and male players. Adv. Cogn. Psychol.
    16, 248–267. doi: 10.5709/acp-0301-1,
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Cudo A., Wojtasiński M., Tużnik P., Fudali-Czyż A., Griffiths M. D. (2022). The relationship between depressive signs, loneliness, self-control, and gaming dysfunction amongst polish female and male players: the oblique results of gaming motives. Int. J. Environ. Res. Public Health
    19:10438. doi: 10.3390/ijerph191610438,
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Demetrovics Z., Urbán R., Nagygyörgy Ok., Farkas J., Zilahy D., Mervó B., et al. (2011). Why do you play? The growth of the motives for on-line gaming questionnaire (MOGQ). Behav. Res. Methods
    43, 814–825. doi: 10.3758/s13428-011-0091-y,
    [DOI] [PubMed] [Google Scholar]
  15. Dong W., Tang H., Wu S., Lu G., Shang Y., Chen C. (2024). The impact of social anxiousness on youngsters’ web dependancy: the mediating function of loneliness and coping types. BMC Psychiatry
    24:395. doi: 10.1186/s12888-024-05854-5,
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Dong W., Xiao-Hui X., Xian-Bo W. (2012). The wholesome life-style scale for college college students: growth and psychometric testing. Aust. J. Prim. Health
    18, 339–345. doi: 10.1071/PY11107,
    [DOI] [PubMed] [Google Scholar]
  17. Eltahir E., Delfabbro P. H., King D. L. (2025). Autism in relation to gaming dysfunction and web dependancy: a scientific overview. Comput. Hum. Behav.
    162:108443. doi: 10.1016/j.chb.2024.108443, 38826717
    [DOI] [Google Scholar]
  18. Fan Z. P., Chen M., Lin Y. P. (2022). Self-control and problematic web use in school college students: the chain mediating impact of rejection sensitivity and loneliness. Psychol. Res. Behav. Manag.
    15, 459–470. doi: 10.2147/prbm.S352060
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Fernandes B., Biswas U. N., Tan-Mansukhani R., Vallejo A., Essau C. A. (2020). The impression of COVID-19 lockdown on web use and escapism in adolescents. Revista De Psicologia Clinica Con Ninos Y Adolescentes
    7, 59–65. doi: 10.21134/rpcna.2020.mon.2056
    [DOI] [Google Scholar]
  20. Fornell C., Larcker D. F. (1981). Evaluating structural equation fashions with unobservable variables and measurement error. Acad. Manag. J.
    23, 395–416. doi: 10.2307/255579
    [DOI] [Google Scholar]
  21. Fu X., Liu J., Liu R.-D., Ding Y., Wang J., Zhen R., et al. (2020). Parental monitoring and adolescent problematic Mobile telephone use: the mediating function of escape motivation and the moderating function of shyness. Int. J. Environ. Res. Public Health
    17:1487. doi: 10.3390/ijerph17051487,
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Gabbiadini A., Baldissarri C., Valtorta R. R., Durante F., Mari S. (2021). Loneliness, escapism, and identification with media characters: an exploration of the psychological elements underlying binge-watching tendency. Front. Psychol.
    12:785970. doi: 10.3389/fpsyg.2021.785970,
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Gan Y., Zhang T., Zhang J., Wu X., Shao M. (2022). Impact of cellular sport dependancy tendency on Chinese college college students: a hierarchical linear modeling research. Front. Psychol.
    13:937446. doi: 10.3389/fpsyg.2022.937446,
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Giardina A., Starcevic V., King D. L., Schimmenti A., Di Blasi M., Billieux J. (2021). Research instructions within the research of gaming-related escapism: a commentary to Melodia, Canale, and Griffiths (2020). Int. J. Ment. Heal. Addict.
    21, 1075–1081. doi: 10.1007/s11469-021-00642-8, 30311153
    [DOI] [Google Scholar]
  25. Gioia F., Colella G. M., Boursier V. (2022). Evidence on problematic on-line gaming and social anxiousness over the previous ten years: a scientific literature overview. Curr. Addict. Rep.
    9, 32–47. doi: 10.1007/s40429-021-00406-3, 30311153
    [DOI] [Google Scholar]
  26. Gu X., Mao E. (2023). The impacts of educational stress on school college students’ problematic smartphone use and web gaming dysfunction beneath the background of Neijuan: hierarchical regressions with mediational evaluation on escape and coping motives. Front. Psych.
    13:1032700. doi: 10.3389/fpsyt.2022.1032700,
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Guo Y. F., Yue F. Y., Lu X. Y., Sun F. Y., Pan M. X., Jia Y. N. (2024). COVID-19-related social isolation, self-control, and web gaming dysfunction amongst Chinese college college students: cross-sectional survey. J. Med. Internet Res.
    26:e52978. doi: 10.2196/52978,
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Haberlin Ok. A., Atkin D. J. (2022). Mobile gaming and web dependancy: when is taking part in not simply enjoyable and video games?
    Comput. Hum. Behav.
    126:106989. doi: 10.1016/j.chb.2021.106989
    [DOI] [Google Scholar]
  29. Hair J. F., Sarstedt M., Ringle C. M. (2019). Rethinking among the rethinking of partial least squares. Eur. J. Mark.
    53, 566–584. doi: 10.1108/EJM-10-2018-0665
    [DOI] [Google Scholar]
  30. Hammad M. A., Alyami M. H. F., Awed H. S. (2024). The affiliation between web dependancy and sleep high quality amongst medical college students in Saudi Arabia. Ann. Med.
    56:7502. doi: 10.1080/07853890.2024.2307502,
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Hayes A. F. (2018). Introduction to mediation, moderation, and conditional course of evaluation: A regression based mostly method (2nd ed.). New York, NY: Guilford Press. [Google Scholar]
  32. Hays R. D., & and DiMatteo M. R. (1987). A brief-form measure of loneliness. J. Pers. Assess., 51, 69–81. doi: 10.1207/s15327752jpa5101_6,
    [DOI] [PubMed] [Google Scholar]
  33. Hellström C., Nilsson Ok. W., Leppert J., Åslund C. (2012). Influences of motives to play and time spent gaming on the unfavourable penalties of adolescent on-line laptop gaming. Comput. Hum. Behav.
    28, 1379–1387. doi: 10.1016/j.chb.2012.02.023
    [DOI] [Google Scholar]
  34. Hu Y. X., Chen S. Y., Qi D., Zhu S. M. (2025). Problematic gaming and self-control amongst adolescents and rising adults: a scientific overview and Meta-analysis. Cyberpsychol. Behav. Soc. Network.
    28, 301–317. doi: 10.1089/cyber.2024.0537,
    [DOI] [PubMed] [Google Scholar]
  35. Jeon H. G., Jeong E. J., Lee S. J., Kim J. A. (2022). Exploring the mechanism of pathological gaming in adolescents: targeted on the mediation paths and latent group comparability. Front. Psychol.
    12:6328. doi: 10.3389/fpsyg.2021.756328,
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Jeong E. J., Ferguson C. J., Lee S. J. (2019). Pathological gaming in younger adolescents: a longitudinal research targeted on educational stress and self-control in South Korea. J. Youth Adolesc.
    48, 2333–2342. doi: 10.1007/s10964-019-01065-4,
    [DOI] [PubMed] [Google Scholar]
  37. Jing J., Luo J. M., Hou X., Yan Y. X. (2026). The impact of cyberbullying perpetration on melancholy in adolescents in western China: the mediating roles of self management and web gaming dependancy and the moderating function of that means in life. Front. Psychol.
    17:9786. doi: 10.3389/fpsyg.2026.1749786,
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Kardefelt-Winther D. (2014). A conceptual and methodological critique of web dependancy analysis: in direction of a mannequin of compensatory web use. Comput. Hum. Behav.
    31, 351–354. doi: 10.1016/j.chb.2013.10.059, 38826717
    [DOI] [Google Scholar]
  39. Killgore W. D. S., Cloonan S. A., Taylor E. C., Lucas D. A., Dailey N. S. (2020). Loneliness in the course of the first half-year of COVID-19 lockdowns. Psychiatry Res.
    294:113551. doi: 10.1016/j.psychres.2020.113551,
    [DOI] [PubMed] [Google Scholar]
  40. Kline R. B. (2015). Principles and Practice of Structural Equation Modeling. New York, NY: Guilford Publications. [Google Scholar]
  41. Kline R. B. (2018). Response to Leslie Hayduk’s overview of ideas and apply of structural equation modeling, 4th version. Can. Stud. Popul., 45, 188–195. doi: 10.25336/csp29418 [DOI] [Google Scholar]
  42. Kuss D. J., Kristensen A. M., Lopez-Fernandez O. (2021). Internet addictions exterior of Europe: a scientific literature overview. Comput. Hum. Behav.
    115:106621. doi: 10.1016/j.chb.2020.106621
    [DOI] [Google Scholar]
  43. Li X. W., Feng X. C., Xiao W. L., Zhou H. (2021). Loneliness and Mobile telephone dependancy amongst Chinese school college students: the mediating roles of boredom proneness and self-control. Psychol. Res. Behav. Manag.
    14, 687–694. doi: 10.2147/prbm.S315879,
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Li J., Zhan D., Zhou Y., Gao X. (2021). Loneliness and problematic cell phone use amongst adolescents in the course of the COVID-19 pandemic: the roles of escape motivation and self-control. Addict. Behav.
    118:106857. doi: 10.1016/j.addbeh.2021.106857,
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Liao Z. J., Huang Q. P., Huang S. C., Tan L. X., Shao T. L., Fang T., et al. (2020). Prevalence of web gaming dysfunction and its affiliation with character traits and gaming traits amongst Chinese adolescent players. Front. Psych.
    11:8585. doi: 10.3389/fpsyt.2020.598585,
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Liu Q., Gao B., Wu Y., Ning B., Xu Y., Zhang F. (2024). Gender variations within the longitudinal linkages between worry of COVID-19 and web sport dependancy: a moderated a number of mediation mannequin. Behav. Sci.
    14:675. doi: 10.3390/bs14080675,
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Lopez-Fernandez O., Männikkö N., Kääriäinen M., Griffiths M. D., Kuss D. J. (2018). Mobile gaming and problematic smartphone use: a comparative research between Belgium and Finland. J. Behav. Addict.
    7, 88–99. doi: 10.1556/2006.6.2017.080
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Marsh H. W., Hocevar D. (1985). Application of confirmatory issue evaluation to the research of self-concept: first- and better order issue fashions and their invariance throughout teams. Psychol. Bull.
    97, 562–582. doi: 10.1037/0033-2909.97.3.562
    [DOI] [Google Scholar]
  49. Melodia F., Canale N., Griffiths M. D. (2022). The function of avoidance coping and escape motives in problematic on-line gaming: a scientific literature overview. Int. J. Ment. Heal. Addict.
    20, 996–1022. doi: 10.1007/s11469-020-00422-w
    [DOI] [Google Scholar]
  50. Mihaliková V., Dedová M. (2024). Association between web gaming dysfunction and loneliness: the mediating impact of suicidal and self-injurious habits in adolescents. J. Educ. Sci. Psychol.
    14 (76), 188–201. doi: 10.51865/jesp.2024.1.18, 40885983
    [DOI] [Google Scholar]
  51. Mun I. B., Lee S. (2022). A longitudinal research of the impression of parental loneliness on adolescents’ on-line sport dependancy: the mediating roles of adolescents’ social ability deficits and loneliness. Comput. Hum. Behav.
    136:107375. doi: 10.1016/j.chb.2022.107375
    [DOI] [Google Scholar]
  52. Myrseth H., Olsen O. Ok., Strand L., Borud E. Ok. (2017). Gaming habits amongst conscripts: the function of decrease psychosocial well-being elements in explaining gaming dependancy. Mil. Psychol.
    29, 128–142. doi: 10.1037/mil0000148
    [DOI] [Google Scholar]
  53. Nebel S., Ninaus M. (2022). Does taking part in aside actually deliver us collectively? Investigating the hyperlink between perceived loneliness and the usage of video video games throughout a interval of social distancing. Front. Psychol.
    13:683842. doi: 10.3389/fpsyg.2022.683842,
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Nwanosike C. L., Ujoatuonu I. V. N., Kanu G. C., Ike O. O., Okeke T. J. (2022). Social bullying amongst undergraduates: the roles of web gaming dysfunction, risk-taking habits, and web dependancy. Front. Psychol.
    13:794. doi: 10.3389/fpsyg.2022.830794,
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Öz N. D., Üstün F. (2022). Investigation of the connection between college college students’ cellular gaming motivations and loneliness ranges. Phys. Educ. Stud.
    26, 196–206. doi: 10.15561/20755279.2022.0405
    [DOI] [Google Scholar]
  56. Phetphum C., Keeratisiroj O., Prajongjeep A. (2023). The affiliation between cellular sport dependancy and psychological well being issues and studying outcomes amongst Thai youths categorised by gender and schooling ranges. Asian J. Soc. Health Behav.
    6, 196–202. doi: 10.4103/shb.shb_353_23
    [DOI] [Google Scholar]
  57. Podsakoff P. M., MacKenzie S. B., Lee J.-Y., Podsakoff N. P. (2003). Common technique biases in behavioral analysis: a vital overview of the literature and really useful treatments. J. Appl. Psychol.
    88, 879–903. doi: 10.1037/0021-9010.88.5.879,
    [DOI] [PubMed] [Google Scholar]
  58. Preacher Ok. J., Hayes A. F. (2008). Asymptotic and resampling methods for assessing and evaluating oblique results in a number of mediator fashions. Behav. Res. Methods
    40, 879–891. doi: 10.3758/BRM.40.3.879
    [DOI] [PubMed] [Google Scholar]
  59. Quancai L., Meng C., Kunjie C. (2023). Social management and self-control: elements linking publicity to home violence and adolescents’ web gaming dependancy. Front. Psych.
    14:5563. doi: 10.3389/fpsyt.2023.1245563,
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  60. Slack J. D., Delfabbro P., King D. L. (2022). Toward a delineation of the variations between excessive engagement and downside gaming. Addict. Behav. Rep.
    16:100462. doi: 10.1016/j.abrep.2022.100462,
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Sporcic B., Glavak-Tkalic R. (2023). The moderating function of well-being within the relationship between gaming motivation and problematic gaming. Int. J. Gaming Comput. Mediat. Simul.
    15, 1–16. doi: 10.4018/ijgcms.320516
    [DOI] [Google Scholar]
  62. Stavrova O., Ren D. N., Pronk T. (2022). Low self-control: a hidden reason for loneliness?
    Personal. Soc. Psychol. Bull.
    48, 347–362. doi: 10.1177/01461672211007228,
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  63. Tangney J. P., Baumeister R. F., Boone A. L. (2004). High self-control predicts good adjustment, much less pathology, higher grades, and interpersonal success. J. Pers.
    72, 271–324. doi: 10.1111/j.0022-3506.2004.00263.x,
    [DOI] [PubMed] [Google Scholar]
  64. Wang H. M., Zhang W. (2026). Peer, household, and instructor relationships and adolescent web gaming dependancy: mediating roles of social interplay and emotional wants. Acta Psychol.
    263:106282. doi: 10.1016/j.actpsy.2026.106282,
    [DOI] [PubMed] [Google Scholar]
  65. Wei X.-Y., Ren L., Jiang H.-B., Liu C., Wang H.-X., Geng J.-Y., et al. (2023). Does adolescents’ social anxiousness set off problematic smartphone use, or vice versa? A comparability between problematic and unproblematic smartphone customers. Comput. Hum. Behav.
    140:107602. doi: 10.1016/j.chb.2022.107602
    [DOI] [Google Scholar]
  66. Weiss R. S. (1973). Loneliness: The Experience of Emotional and Social Isolation. Cambridge, MA: The MIT Press. [Google Scholar]
  67. Xiang G. X., Gan X., Jin X., Zhang Y. H., Zhu C. S. (2022). Developmental belongings, self-control and web gaming dysfunction in adolescence: testing a moderated mediation mannequin in a longitudinal research. Front. Public Health
    10:8264. doi: 10.3389/fpubh.2022.808264,
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  68. Xie J., Zou Y., Peng Y., Zhou C., Dong Q. T., Yao Z. D. (2026). The impact of parenting type on aggressive habits in adolescents: the chain mediating roles of self-control and attachment. Front. Psych.
    17:1189. doi: 10.3389/fpsyt.2026.1741189,
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  69. Xu X., Cao M., Chen Q., Xu F., Zhou Z. (2025). Escape the uncertainty by web gaming: a serial mediation mannequin of intolerance of uncertainty and web gaming dysfunction. Pers. Individ. Differ.
    233:112917. doi: 10.1016/j.paid.2024.112917
    [DOI] [Google Scholar]
  70. Yu Y. Q., Fong V. W., Ng J. H. Y., Wang Z. X., Tian X. B., Lau J. T. F. (2023). The associations between loneliness, hopelessness, and self-control and web gaming dysfunction amongst college college students who have been males who’ve intercourse with males: cross-sectional mediation research. J. Med. Internet Res.
    25:3532. doi: 10.2196/43532,
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  71. Yu Y., Mo P. Ok. H., Zhang J., Li J., Lau J. T. F. (2022). Maladaptive cognitions, loneliness, and social anxiousness as potential moderators of the affiliation between web gaming time and web gaming dysfunction amongst adolescent web players in China. Addict. Behav.
    129:107239. doi: 10.1016/j.addbeh.2022.107239,
    [DOI] [PubMed] [Google Scholar]
  72. Yue H., Yue X., Zhang X., Liu B., Bao H. (2022). Exploring the connection between social exclusion and smartphone dependancy: the mediating roles of loneliness and self-control. Front. Psychol.
    13:2022. doi: 10.3389/fpsyg.2022.945631
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  73. Zhen R., Liu R.-D., Hong W., Zhou X. (2019). How do interpersonal relationships relieve adolescents’ problematic Mobile telephone use? The roles of loneliness and motivation to make use of Mobile telephones. Int. J. Environ. Res. Public Health
    16:2286. doi: 10.3390/ijerph16132286,
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  74. Zhou H., Xiao W. L., Zhu F., Liang H. Y. (2026). Bidirectional relations between loneliness and generalized anxiousness signs in adolescents: a cross-lagged panel community evaluation. Appl. Res. Qual. Life
    21, 575–593. doi: 10.1007/s11482-025-10538-7
    [DOI] [Google Scholar]

Associated Data

This part collects any information citations, information availability statements, or supplementary supplies included on this article.

Data Availability Statement

The datasets offered on this research could be present in on-line repositories. The names of the repository/repositories and accession quantity(s) could be discovered within the article/supplementary materials.


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