Schlossarek Samantha, Schmidt Hannah, Bischof Anja, Bischof Gallus, Brandt Dominique, Borgwardt Stefan, Browne Dillon T, Christakis Dimitri, Hurst-Della Pietra Pamela, Demetrocvics Zsolt, Rumpf Hans-Jürgen
Department of Psychiatry and Psychotherapy, University of Luebeck, Luebeck, Germany.
Department of Pediatric and Adolescent Medicine, University of Luebeck, Luebeck, Germany.
JAMA Pediatr. 2023 Apr 1;177(4):419-426. doi: 10.1001/jamapediatrics.2022.5741.
Children and adolescents spend considerable time on the internet, which makes them a highly vulnerable group for the development of problematic usage patterns. A variety of screening methods have already been developed and validated for social network use disorder (SNUD); however, a systematic review of SNUD in younger age groups has not been performed.
To review published reports on screening tools assessing SNUD in children and adolescents with a maximum mean age of 18.9 years.
To identify instruments for the assessment of SNUD, a systematic literature search was conducted in the databases PsycINFO, PubMed, Web of Science, PsycArticles, and Scopus. The final search took place on May 2, 2022. Psychometric properties of available tools were examined and evaluated to derive recommendations for suitable instruments for individuals up to 18 years of age.
A total of 5746 publications were identified, of which 2155 were excluded as duplicates. Of the remaining 3591 nonredundant publications, 3411 studies were assessed as not relevant after title and abstract screening. A full-text analysis of 180 remaining studies classified as potentially eligible resulted in a final inclusion of 29 studies revealing validation evidence for a total of 19 tools. The study quality was mostly moderate. With regard to validation frequency, 3 tools exhibited the largest evidence base: Social Media Disorder Scale (SMDS), the short version of the Bergen Facebook Addiction Scale, and Bergen Social Media Addiction Scale-Short Form (BSMAS-SF). Among these, 1 study tested a parental version (SMDS-P) for its psychometric properties. Taking all criteria into account, the strongest recommendation was made for the SMDS and BSMAS-SF.
Results suggest that the SMDS-SF and BSMAS-SF were appropriate screening measures for SNUD. Advantages of the SMDS are the availability of a short version and the possibility of an external parental rating.
儿童和青少年在互联网上花费大量时间，这使他们成为出现问题使用模式的高风险群体。已经开发并验证了多种用于社交网络使用障碍（SNUD）的筛查方法；然而，尚未对较年轻年龄组的SNUD进行系统评价。
回顾已发表的关于评估平均年龄最大为18.9岁的儿童和青少年SNUD的筛查工具的报告。
为了确定评估SNUD的工具，在PsycINFO、PubMed、科学网、PsycArticles和Scopus数据库中进行了系统的文献检索。最终检索于2022年5月2日进行。检查并评估了现有工具的心理测量特性，以得出适合18岁及以下个体的工具的推荐意见。
共识别出5746篇出版物，其中2155篇作为重复出版物被排除。在其余3591篇非重复出版物中，3411项研究在标题和摘要筛选后被评估为不相关。对其余180项分类为可能符合条件的研究进行全文分析，最终纳入29项研究，这些研究揭示了总共19种工具的验证证据。研究质量大多为中等。关于验证频率，3种工具展现出最充分的证据基础：社交媒体障碍量表（SMDS）、卑尔根Facebook成瘾量表简版以及卑尔根社交媒体成瘾量表简表（BSMAS-SF）。其中，1项研究测试了其心理测量特性的家长版（SMDS-P）。综合所有标准，对SMDS和BSMAS-SF给出了最强烈推荐。
结果表明，SMDS-SF和BSMAS-SF是SNUD的合适筛查措施。SMDS的优点是有简版且可进行外部家长评分。
