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The fit statistic of mediating effect

The fit statistic of mediating effect

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Background Problematic smartphone use (PSU) has become a common phenomenon among college students. Fear of missing out (FoMO) is an important factor affecting PSU, but how FoMO affects PSU is not clear. Therefore, the mediating effect of positive and negative metacognitions about smartphone use (PMSU and NMSU) and the moderating effect of optimism...

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... In the network structure of high parent-child con ict, positive thinking increased the direct positive correlation with lack of self-control, avoidance, and ine ciency in the mobile phone addiction community. This implies that more severe smartphone addiction problems such as lack of self-control, escapism, and ine ciency are intertwined with more optimistic attitudes, which is inconsistent with existing research [129]. In addition to the previously mentioned ability of left-behind adolescents to adapt more quickly to adversity, make positive self-decisions and plans, and potentially re ect deeply and seek change, it is also possible that negative cognition allows them to feel the realities of the situation such as family con ict more acutely, rather than being fully immersed in the world of mobile phones, which reduces performance in areas such as loss of control [100]. ...
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Background mobile phone addiction and mental health problems have become increasingly prominent among left-behind adolescents in China. In recent years, some studies have focused on the important role of parent-child relationship and psychological resilience. Therefore, this study aims to explore the multidimensional relationships among resilience, mental health, and mobile phone addiction among left-behind adolescents, and to assess the impact of parent-child conflict level on these relationships. Methods The Brief Symptom Inventory (BSI-18), the Chinese version of the Mobile Phone Addiction Index (MPAI), the Resilience Scale for Children and Adolescents (RSCA), and the Parent-Child Conflict Scale were used to investigate 2,100 left-behind adolescents in Sichuan Province, and R was run to make network analysis and network comparison. Results (1) A structurally stable network relationship exists between left-behind adolescents' resilience, mental health, and mobile phone addiction; (2) BSI3 (Anxiety) is the most important node of the network model, followed by MPAI1 (the inability to control cravings subscale); (3) MPAI1 (the inability to control cravings subscale) and RSCA4 (family support) are key to connect resilience, mental health, and smartphone addiction in the study sample; (4) There was a significant difference in the network structure between the high- and low-level groups of parent-child conflict, no significant difference in the global strength of the network, and a significant difference in the centrality of strength and the centrality of bridge strength. Conclusions Chinese left-behind adolescents' resilience and mental health, mobile phone addiction are both independent and interact with each other to some extent. Specifically, high centrality dimensions such as anxiety, the inability to control cravings, and family support can be prioritised for intervention in related treatments, or reducing parent-child conflict and enhancing resilience to mitigate mobile phone addiction among left-behind adolescents, thus improving their mental health.