Department of Social Sciences, Maison des Sciences Humaines, University of Luxembourg, 11 Porte des Sciences, L-4366 Esch-sur-Alzette, Luxembourg.
Department of Behavioural and Cognitive Sciences, Maison des Sciences Humaines, University of Luxembourg, 11 Porte des Sciences, L-4366 Esch-sur-Alzette, Luxembourg.
Int J Environ Res Public Health. 2021 Nov 12;18(22):11878. doi: 10.3390/ijerph182211878.
Social media use has increased substantially over the past decades, especially among adolescents. A proportion of adolescents develop a pattern of problematic social media use (PSMU). Predictors of PSMU are insufficiently understood and researched. This study aims to investigate predictors of PSMU in a nationally representative sample of adolescents in Luxembourg. Data from the Health Behavior in School-aged Children (HBSC) study in Luxembourg were used, in which 8687 students aged 11-18 years old participated. The data were analyzed using hierarchical multiple regression. A range of sociodemographic, social support, well-being and media use predictors were added to the model in four blocks. The predictors in the final model explained 22.3% of the variance in PSMU. The block of sociodemographic predictors explained the lowest proportion of variance in PSMU compared with the other blocks. Age negatively predicted PSMU. Of the predictors related to social support, cyberbullying perpetration was the strongest predictor of PSMU. Perceived stress and psychosomatic complaints positively predicted PSMU. The intensity of electronic media communication and preference for online social interaction were stronger predictors of PSMU than the other predictors in the model. The results indicate that prevention efforts need to consider the diverse range of predictors related to PSMU.
社交媒体的使用在过去几十年中大幅增加，尤其是在青少年中。一部分青少年形成了问题性社交媒体使用模式（PSMU）。PSMU 的预测因素尚未得到充分理解和研究。本研究旨在调查卢森堡全国代表性青少年样本中 PSMU 的预测因素。本研究使用了卢森堡《青少年健康行为》（HBSC）研究的数据，共有 8687 名 11-18 岁的学生参与。采用分层多元回归分析数据。将一系列社会人口统计学、社会支持、幸福感和媒体使用预测因素分四个阶段添加到模型中。最终模型中的预测因素解释了 PSMU 变异的 22.3%。与其他阶段相比，社会人口统计学预测因素阶段解释了 PSMU 变异的最小比例。年龄与 PSMU 呈负相关。在与社会支持相关的预测因素中，网络欺凌行为是 PSMU 的最强预测因素。感知压力和身心症状与 PSMU 呈正相关。电子媒体交流的强度和对在线社交互动的偏好是模型中比其他预测因素更强的 PSMU 预测因素。结果表明，预防工作需要考虑与 PSMU 相关的各种预测因素。
