Psychological risk factors for problematic social network use: An overview of systematic reviews and meta-analyses

社交网络使用障碍的心理风险因素:系统评价和荟萃分析概述

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Abstract

Problematic Social Network Use (PSNU) is a widespread and harmful public health issue. Therefore, it is unsurprising that the literature has focused on identifying possible risk factors contributing to this behavior. However, most identified factors were found to be shared with other problematic online behaviors. Therefore, the present overview aims to identify the psychological risk factors consistently associated with PSNU and evaluate whether the emerging risk factors were shared across Internet Gaming Disorder, Problematic Pornography Use, and Compulsive Online Shopping. A systematic search of four databases was conducted to identify systematic reviews/meta-analyses investigating the relationship between PSNU and psychological risk factors. Then, a bibliometric analysis was performed to examine whether the identified factors were shared across other problematic online behaviors. Thirty-five systematic reviews/meta-analyses were included, examining general and behavior-specific predisposing factors. General predisposing factors associated with PSNU included insecure attachment, high neuroticism, low conscientiousness, low self-esteem, depression, anxiety, stress, social anxiety, loneliness, and fear of missing out. Behavior-specific factors, though less frequently studied, highlighted the role of unmet psychological needs, Preference for Online Social Interaction, and motives related to emotion regulation and socialization. The bibliometric analysis revealed that many risk factors for PSNSU are shared with other problematic online behaviors. However, certain specificities emerged, including distinct motivations driving these behaviors. Findings suggest that PSNU shares a spectrum of risk factors with other problematic online behaviors, yet specific etiological and motivational differences remain. Overall, the findings underscore integrating shared and specific risk factors to improve tailored prevention and intervention strategies.

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