| Literature DB >> 35270644 |
Anise M S Wu1,2, Mark H C Lai3, Mengxuan Zhang1,4, Masao Yogo5, Shu M Yu1,6, Sijie Mao1, Juliet Honglei Chen1,2.
Abstract
The high prevalence of Internet gaming disorder (IGD) among Asian youth indicates an urgent need to identify protective factors and examine their consistency across Asian cultures in order to facilitate cost-effective interventions. Based on the transactional theory of stress and coping, this study collected data of 1243 online gamers (45% males; 18-25 years) through an anonymous survey from universities in China and Japan and investigated whether three coping resources (i.e., mindfulness, coping flexibility, and social support) serve to protect Chinese and Japanese youth from the impact of psychological distress on IGD tendency. After adjusting for the measurement non-invariance across samples, we found that Japanese students reported higher levels of IGD tendency and psychological distress than Chinese students. The results of multiple-group SEM analyses showed that, after controlling for other predictors, mindfulness served as the strongest protective factor against IGD across samples. Moreover, the buffering effect of mindfulness on the association between psychological distress and IGD tendency of female (but not male) students was observed. Our findings highlighted the cross-cultural invariance of the impact of psychological distress and coping resources on IGD in Chinese and Japanese youth, which can be considered in future IGD prevention programs.Entities:
Keywords: Internet gaming; anxiety; coping flexibility; cross-cultural; depression; mindfulness; psychological distress; social support; stress
Mesh:
Substances:
Year: 2022 PMID: 35270644 PMCID: PMC8910164 DOI: 10.3390/ijerph19052951
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Means (age-adjusted) and standard deviations and comparison of the major variables in Model 1.
| Japan | China | |||||||||||
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| Male | Female | Total | Male | Female | Total | |||||||
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| IGD Tendency | 0 | 1.00 | −0.40 | 1.02 | −0.22 | 1.01 | −0.29 | 0.95 | −0.83 | 0.90 | −0.65 | 0.94 |
| DASS-21 General | 0 | 1.00 | −0.10 | 1.01 | −0.05 | 1.01 | −0.30 | 1.07 | −0.49 | 0.96 | −0.43 | 1.04 |
| DASS-21 Depression | 0 | 1.00 | −0.09 | 0.81 | −0.05 | 0.92 | −0.34 | 0.65 | −0.43 | 0.38 | −0.40 | 0.57 |
| DASS-21 Anxiety | 0 | 1.00 | −0.29 | 0.64 | −0.16 | 0.86 | 0.39 | 0.49 | 0.52 | 0.49 | 0.48 | 0.49 |
| DASS-21 Stress | 0 | 1.00 | 0.09 | 0.99 | 0.05 | 1.00 | 0.00 | 1.07 | 0.24 | 0.98 | 0.16 | 1.04 |
| Mindfulness | 0 | 1.00 | −0.21 | 1.16 | −0.12 | 1.08 | 0.27 | 1.11 | 0.07 | 1.02 | 0.14 | 1.08 |
| Coping Flexibility | 0 | 1.00 | 0.07 | 0.97 | 0.04 | 0.99 | 0.23 | 0.87 | 0.36 | 0.70 | 0.31 | 0.82 |
| Social Support | 0 | 1.00 | 0.62 | 0.98 | 0.34 | 0.99 | 0.45 | 0.75 | 0.76 | 0.77 | 0.65 | 0.76 |
a The multiple-group structural equation model was identified by fixing the latent factor means to zero and the latent factor residual standard deviations to 1.0 for Japanese males. According to Kline [73], setting Japanese males as the reference in multi-group SEM only affects the scaling of the latent variables for the other three groups (i.e., Japanese females, Chinese males, and Chinese females), but not the differences across groups.
Univariate latent regression models of IGD tendency across both sexes and two countries (Models 2 to 8).
| Model | Path | β |
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| 2 | DASS-21 General → IGD Tendency | 0.29 | 0.56 | <0.001 |
| 3 | DASS-21 Depression → IGD Tendency | 0.08 | 0.11 | 0.45 |
| 4 | DASS-21 Anxiety → IGD Tendency | 0.08 | 0.10 | 0.40 |
| 5 | DASS-21 Stress → IGD Tendency | 0.01 | 0.06 | 0.88 |
| 6 | Mindfulness → IGD Tendency | −0.40 | 0.05 | <0.001 |
| 7 | Coping Flexibility → IGD Tendency | −0.05 | 0.04 | 0.24 |
| 8 | Social Support → IGD Tendency | −0.18 | 0.06 | <0.001 |
Note: SE = standard error. The path coefficients were constrained equal across all four groups (i.e., Japanese males, Japanese females, Chinese males, and Chinese females).
Latent multiple regression of IGD tendency across two countries (Model 9).
| Antecedent | Male | Female | ||||
|---|---|---|---|---|---|---|
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| DASS-21 General | 0.07 | 0.09 | 0.38 | 0.20 | 0.07 | 0.003 |
| DASS-21 Depression | −0.02 | 0.11 | 0.85 | 0.23 | 0.18 | 0.17 |
| DASS-21 Anxiety | 0.03 | 0.12 | 0.80 | −0.07 | 0.19 | 0.69 |
| DASS-21 Stress | −0.13 | 0.10 | 0.14 | 0.01 | 0.08 | 0.87 |
| Mindfulness | −0.33 | 0.06 | <0.001 | −0.33 | 0.06 | <0.001 |
| Coping Flexibility | 0.00 | 0.05 | 0.94 | 0.00 | 0.05 | 0.94 |
| Social Support | 0.00 | 0.06 | 0.98 | 0.00 | 0.06 | 0.98 |
Note. SE = standard error. The model was adjusted for age. The path coefficients were constrained to be equal across countries as we found no evidence for between-country differences in them.
Latent multiple regression of IGD tendency with moderating testing across two countries (Model 10).
| Antecedent | Male | Female | ||||
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| DASS-21 General | 0.04 | 0.09 | 0.60 | 0.18 | 0.09 | 0.005 |
| DASS-21 Depression | 0.07 | 0.09 | 0.36 | 0.07 | 0.09 | 0.36 |
| DASS-21 Anxiety | −0.09 | 0.09 | 0.28 | −0.09 | 0.09 | 0.28 |
| DASS-21 Stress | −0.04 | 0.06 | 0.44 | −0.04 | 0.06 | 0.44 |
| Mindfulness | −0.39 | 0.07 | <0.001 | −0.39 | 0.07 | <0.001 |
| Coping Flexibility | 0.00 | 0.05 | 0.93 | 0.00 | 0.05 | 0.93 |
| Social Support | −0.01 | 0.06 | 0.86 | −0.01 | 0.06 | 0.86 |
| DASS-21 General x Mindfulness | −0.06 | 0.08 | 0.44 | −0.16 | 0.06 | 0.002 |
Note. SE = standard error. The model was adjusted for age. The path coefficients were constrained to be equal across countries as we found no evidence for between-country differences in them.
Figure 1Interaction between DASS-21 General and Mindfulness on IGD Tendency for females in Japan (a) and China (b).