Allen Andrew, Sanders-Westerhof Geraldine, Khodadadi Azin, Kannis-Dymand Lee
University of the Sunshine Coast, School of Health, Sippy Downs, Queensland, Australia.
Scand J Psychol. 2025 Oct;66(5):766-778. doi: 10.1111/sjop.13119. Epub 2025 Apr 30.
The current study aimed to improve the understanding of cognitive and metacognitive processes underlying problematic social media use (PSMU) by comparing active and passive user engagement and contrasting Facebook and Instagram users. The metacognitive model of desire thinking (MCMDT) was utilized to explore these distinctions within a community sample of 337 participants (64% female, M = 36.10). Participants completed self-report measures to assess their metacognitive processes, desire thinking patterns, and social media engagement. The MCMDT demonstrated robust fit across all scenarios, with the most optimal fit for Instagram (χ(3) = 0.850, p = 0.838, CFI = 1.000, RMSEA = 0.000, SRMR = 0.0062, variance explained 59.4%), and the least optimal fit for passive users (χ(3) = 1.151, p = 0.765, CFI = 1.000, RMSEA = 0.000, SRMR = 0.0206, variance explained 45.9%). The initiation and elaboration stages of the MCMDT were supported, but the pathological amplification stage was not. As expected, active users showed better model fit than passive users, and Facebook users had more pronounced verbal perseveration (VP) activation during the elaboration stage. Contrary to expectations, Instagram did not display more pronounced imaginal prefiguration (IP) activation than Facebook. These results enhance understanding of the cognitive and metacognitive processes driving PSMU, which may contribute to developing targeted interventions. Future research should investigate how VP and IP interact with and influence the later stages of the MCMDT of desire thinking across various populations and contexts.
当前的研究旨在通过比较主动和被动用户参与度以及对比Facebook和Instagram用户,来增进对有问题的社交媒体使用(PSMU)背后的认知和元认知过程的理解。欲望思维的元认知模型(MCMDT)被用于在一个由337名参与者组成的社区样本(64%为女性,M = 36.10)中探索这些差异。参与者完成了自我报告测量,以评估他们的元认知过程、欲望思维模式和社交媒体参与度。MCMDT在所有情景中都表现出很强的拟合度,对Instagram的拟合度最佳(χ(3) = 0.850,p = 0.838,CFI = 1.000,RMSEA = 0.000,SRMR = 0.0062,解释方差59.4%),对被动用户的拟合度最不理想(χ(3) = 1.151,p = 0.765,CFI = 1.000,RMSEA = 0.000,SRMR = 0.0206,解释方差45.9%)。MCMDT的启动和细化阶段得到了支持,但病理放大阶段未得到支持。正如预期的那样,主动用户比被动用户表现出更好的模型拟合度,并且Facebook用户在细化阶段有更明显的言语持续(VP)激活。与预期相反,Instagram没有比Facebook表现出更明显的想象预演(IP)激活。这些结果增进了对驱动PSMU的认知和元认知过程的理解,这可能有助于制定有针对性的干预措施。未来的研究应该调查VP和IP如何在不同人群和背景下与欲望思维的MCMDT的后期阶段相互作用并产生影响。