自网络过度使用问题成为学术界流行的研究主题以来，特异性的网络过度使用问题也引起了越来越多的关注。其中，作为特异性网络使用形式之一的短视频用户数量与使用时长呈现出爆炸式增长趋势，其过度使用的不良后果陆续被发现，于是表征过度使用已给个体带来负面影响的的研究——问题性短视频使用（Problematic Short Video Using, PSVU）——开始在学术界引发关注。作为一种较新的网络内容使用形式，关于PSVU的基础性的研究尚不完善，特别是有效测量工具的缺失限制了该领域的进一步研究。与此同时，PSVU通常被作为一个子类包含于更上位的问题性社交媒体使用的相关研究中，然而与后者使用相比，前者存在其不可忽视的特异性，因此在相关机制的研究中，将二者的人口学特征、前因、后果统合讨论并不恰当，甚至有可能造成对问题个体的偏差评估与不当干预。在此背景下，开发一个有效的问题性短视频使用量表（Problematic Short Video Using Scale, PSVUS），专门用于问题性短视频使用个体的筛查，并区分与问题性社交媒体使用个体间存在的差异具有必要性与迫切性。

当前研究依照前人针对其他特异性网络过度使用问题的量表工具开发经验，以DSM中非物质成瘾障碍9条诊断标准为核心依据，在综述前人使用过的相关工具基础上，通过质性访谈研究方法编制了具有问题性短视频使用特异性的心理、行为特征条目，编制了问题性短视频使用量表条目，并且通过定量研究的方式进行施测（N = 473）与分析，为工具提供了信度与效度证据。数据分析结果表明，当前工具具有良好的内部一致性信度（α= 0.95），合成信度（CR = 0.98）与重测信度（r = 0.78^**）；所有题目CFA标准化因子载荷介于0.6～0.96之间，具有良好的结构效度；前人使用过的短视频成瘾量表间存在0.84的良好相容效度；与使用时长、负性生活事件、感知压力量表、焦虑抑郁量表、自控量表等效标均存在显著相关关系；LPA分析将受测者群体分成了普通组、风险组、问题性使用组三类，受测者群体中PSVU流行率为23%，工具的最佳截止值为75.5分。考虑到特定使用场景下灵活性与简洁性需求，还报告了简版量表（PSVUS-9）的相关结果，简版量表与完整量表间存在r = 0.97^**的显著相关关系，并且具有良好的信度、效度。此外，高阶因子分析模型为问题性短视频使用的特异性模式提供了统计学依据，结果表明个体在问题性短视频使用与社交媒体成瘾使用间存在人口学差异与使用模式上的差异，表明问题性短视频存在被独立研究的必要性。

本研究以DSM-5中最新的特异性网络行为障碍9条核心诊断标准为依据，开发了问题性短视频使用量表，并提供了信度、效度验证，为问题性短视频使用的测量及相关研究提供了重要补充，为该领域的研究者提供了可靠、有效的测量工具。同时，问题性短视频使用与社交媒体成瘾使用的对比分析结果为前者的特异性提供了证据。总体而言，当前研究提供的问题性短视频使用测量工具与相关结果为将来进一步的流行病学研究、临床干预领域、公共卫生领域研究提供了实用有效的测量工具及参考依据，具有重要的理论意义和应用价值。

In recent times, certain problematic internet site using have gained increasing attention Since the issue of excessive generalized internet using has become a popular research topic in academia. One such site is the short videos which had a rapidly growing trend has been found to have adverse consequences when used excessively, leading to the identification of "problematic short video use (PSVU)". As a relatively new form of internet site, basic research on PSVU is still incomplete, and the lack of effective measurement tools has limited further study in this field. Meanwhile, PSVU is often included as a subgroup in related studies on problematic social media use; however, PSVU has its own unique characteristics that cannot be ignored compared with the latter. Therefore, integrating the demographic characteristics, antecedents, and consequences of both PSVU and problematic social media use in relevant mechanisms may not be appropriate and could even lead to biased evaluations and inappropriate interventions for problematic individuals. In the current context, there is an urgent need to develop a screening scale that effectively identifies individuals with PSVU and distinguishes them from those who require untangling. This will help in recognizing the differences between the two groups of individuals and enable appropriate interventions to be implemented.

Current study developed a screening tool for problematic short-video use (PSVU) after qualitative interviews research around target user. and DSM-5 criteria for internet gaming disorders was referenced according to the previous study of other specific problematic internet site use scale. The PSVU screening tool demonstrated good internal consistency (α=0.95), composite reliability (CR=0.98), and test-retest reliability (r=0.78**). The tool also showed good construct validity (standardized factor loadings between 0.6 and 0.96) and was significantly correlated with other measures of negative life events, perceived stress, anxiety, depression, self-control, and short-video addiction. A latent profile analysis identified three groups of individuals: normal user, risky user, and problematic user, and the best cutoff score for the PSVU screening tool was 75.5 points. A brief version of the tool was also developed and demonstrated good reliability and validity. The high-order factor analysis model provided statistical evidence for the specificity of PSVU as compared to social media addiction.

This study contributes to the development of valid and reliable tools for measuring PSVU measurement tool with sufficient psychometric properties and provides important references for future epidemiological research, clinical interventions, and public health studies.and it should not be grouped together with problematic social media use as it has its own unique characteristics. To address this, a screening tool for PSVU was developed through qualitative interviews and referencing DSM-5 criteria for internet gaming disorder. The tool showed good psychometric properties, including construct validity, reliability, and correlations with negative life events, stress, anxiety, and depression. A latent profile analysis identified three groups of individuals, and a brief version of the tool was also developed. This study provides a valuable contribution to future research on PSVU and its implications for clinical intervention and public health efforts.