PDF(Pubmed)
Abstract：
UNASSIGNED: Nonsuicidal-self-injury (NSSI)-related content recently emerged on social networking sites (SNS), despite its relationship with NSSI conducts is still unclear.
UNASSIGNED: Hence, the current population-based cross-sectional study investigated the interplay between SNS use, NSSI content engagement, risky social media challenges (RSMCs), in a sample of 404 young adults (aged 18-24), focusing on the influence of problematic social media use (PSMU) and fear of missing out (FoMO).
UNASSIGNED: Around 51.5% of the samplewas engaged inNSSI-related contents on SNS, being mostly females (p<0.001), younger (p=0.005), transgender people and nonbinary people (p=0.030) and those who displayed higher PSMU (p<0.001) or FoMO (p=0.031). Around 66.2% of the sample currently practice NSSIs, predominantly among females (p<0.001), those using BeReal (p=0.012), actively looking for NSSIrelated contents on SNS (p<0.001) to be part of a group (p=0.0025) or learn how to practice NSSI (p=0.025). PSMU (p<0.001) and FoMO (p<0.001) emerged as significant predictors of NSSI content engagement, particularly among active seekers. NSSI conducts were significantly predicted by FoMO (p<0.001) and Snapchat (p=0.044), while negatively predicted by male sex (p<0.001), higher educational level (p=0.019) and age at which NSSI-related contents were firstly looked for (p=0.028).
UNASSIGNED: These findings underline the need to implement preventivepolicies and targeted interventions to monitor NSSI-related contents on SNS, the impact of PSMU and FoMO on NSSI, particularly among youngsters.
UNASSIGNED: Hence, the current population-based cross-sectional study investigated the interplay between SNS use, NSSI content engagement, risky social media challenges (RSMCs), in a sample of 404 young adults (aged 18-24), focusing on the influence of problematic social media use (PSMU) and fear of missing out (FoMO).
UNASSIGNED: Around 51.5% of the samplewas engaged inNSSI-related contents on SNS, being mostly females (p<0.001), younger (p=0.005), transgender people and nonbinary people (p=0.030) and those who displayed higher PSMU (p<0.001) or FoMO (p=0.031). Around 66.2% of the sample currently practice NSSIs, predominantly among females (p<0.001), those using BeReal (p=0.012), actively looking for NSSIrelated contents on SNS (p<0.001) to be part of a group (p=0.0025) or learn how to practice NSSI (p=0.025). PSMU (p<0.001) and FoMO (p<0.001) emerged as significant predictors of NSSI content engagement, particularly among active seekers. NSSI conducts were significantly predicted by FoMO (p<0.001) and Snapchat (p=0.044), while negatively predicted by male sex (p<0.001), higher educational level (p=0.019) and age at which NSSI-related contents were firstly looked for (p=0.028).
UNASSIGNED: These findings underline the need to implement preventivepolicies and targeted interventions to monitor NSSI-related contents on SNS, the impact of PSMU and FoMO on NSSI, particularly among youngsters.
摘要：
■最近在社交网站（SNS）上出现了与自杀自伤（NSSI）相关的内容，尽管与NSSI的关系尚不清楚。
■因此，当前基于人群的横断面研究调查了SNS使用之间的相互作用，NSSI内容参与，危险的社交媒体挑战(RSMC)，在404名年轻人(18-24岁)的样本中，关注有问题的社交媒体使用(PSMU)和害怕错过(FoMO)的影响。
■大约51.5%的样本参与了SNS上与NSSI相关的内容，大多数是女性(p<0.001)，年轻（p=0.005），变性人和非二元人（p=0.030）以及显示较高PSMU（p<0.001）或FoMO（p=0.031）的人。目前约有66.2%的样本使用NSSI，主要在女性中(p<0.001)，那些使用BeReal（p=0.012），积极寻找与SNS相关的内容（p<0.001）成为一组（p=0.0025）或学习如何练习NSSI（p=0.025）。PSMU（p<0.001）和FoMO（p<0.001）成为NSSI内容参与的重要预测因子，特别是在活跃的寻求者中。FoMO(p<0.001)和Snapchat(p=0.044)显著预测了NSSI行为，虽然由男性性别负预测(p<0.001)，较高的文化程度（p=0.019）和首次寻找NSSI相关内容的年龄（p=0.028）。
■这些发现强调需要实施预防性政策和有针对性的干预措施，以监测SNS上与NSSI相关的内容，PSMU和FoMO对NSSI的影响，尤其是在年轻人中。
■因此，当前基于人群的横断面研究调查了SNS使用之间的相互作用，NSSI内容参与，危险的社交媒体挑战(RSMC)，在404名年轻人(18-24岁)的样本中，关注有问题的社交媒体使用(PSMU)和害怕错过(FoMO)的影响。
■大约51.5%的样本参与了SNS上与NSSI相关的内容，大多数是女性(p<0.001)，年轻（p=0.005），变性人和非二元人（p=0.030）以及显示较高PSMU（p<0.001）或FoMO（p=0.031）的人。目前约有66.2%的样本使用NSSI，主要在女性中(p<0.001)，那些使用BeReal（p=0.012），积极寻找与SNS相关的内容（p<0.001）成为一组（p=0.0025）或学习如何练习NSSI（p=0.025）。PSMU（p<0.001）和FoMO（p<0.001）成为NSSI内容参与的重要预测因子，特别是在活跃的寻求者中。FoMO(p<0.001)和Snapchat(p=0.044)显著预测了NSSI行为，虽然由男性性别负预测(p<0.001)，较高的文化程度（p=0.019）和首次寻找NSSI相关内容的年龄（p=0.028）。
■这些发现强调需要实施预防性政策和有针对性的干预措施，以监测SNS上与NSSI相关的内容，PSMU和FoMO对NSSI的影响，尤其是在年轻人中。
