Department of Psychology, Loyola Marymount University, 1 LMU Drive Suite 4700, Los Angeles, CA 90045 USA.
Department of Psychology, Loyola Marymount University, 1 LMU Drive Suite 4700, Los Angeles, CA 90045 USA.
Addict Behav. 2023 Jan;136:107472. doi: 10.1016/j.addbeh.2022.107472. Epub 2022 Aug 28.
Previous research has shown a reliable association between social media (SM) use and drinking among college students. However, most studies have investigated SM behaviors (e.g., time spent on a platform, posting frequency) in isolation and on a single site. While some have studied multiple SM behaviors across platforms using person-centered approaches (e.g., latent profile analysis [LPA]), these studies have failed to take alcohol-related SM behaviors into account. This longitudinal study addressed this gap in the literature by using LPA to identify subpopulations of SM users during the college transition (N = 319; 62.1% female) using general (frequency of checking, time spent on, and frequency of posting to Instagram/Facebook/Snapchat; Finstagram ownership) and alcohol-related SM behaviors (posting alcohol, partying, and marijuana content). LPA results revealed three SM user profiles at baseline: low general use with low alcohol-related posting (LGU + LAP), high general use with low alcohol-related posting (HGU + LAP), and high general use with high alcohol-related posting (HGU + HAP). Prospective analyses revealed that HGU + HAP membership was associated with greater descriptive peer drinking norms, alcohol use, and consequences relative to HGU + LAP and LGU + LAP membership. Results suggest that there are distinct patterns of general and alcohol-related SM use during the college transition associated with risky drinking that can inform interventions combating SM-related alcohol risks. These findings illustrate the importance of investigating SM use holistically and suggests studying alcohol-related SM behaviors may reveal differences in individuals' alcohol risk that general SM behaviors might not capture.
先前的研究表明,社交媒体(SM)的使用与大学生饮酒之间存在可靠的关联。然而,大多数研究都孤立地研究了 SM 行为(例如,在平台上花费的时间、发布频率),并且仅在单个网站上进行研究。虽然有些人使用基于个体的方法(例如,潜在类别分析[LPA])研究了跨平台的多种 SM 行为,但这些研究都没有考虑到与酒精相关的 SM 行为。本纵向研究通过使用 LPA 来识别大学生过渡期间的 SM 用户亚群(N=319;62.1%为女性),从而填补了文献中的这一空白,研究中使用了一般(检查频率、在 Instagram/Facebook/Snapchat 上花费的时间和发布频率;Finstagram 拥有情况)和与酒精相关的 SM 行为(发布酒精、参加派对和大麻内容)。LPA 结果在基线时显示了三种 SM 用户特征:低一般使用量和低与酒精相关的发布量(LGU+LAP)、高一般使用量和低与酒精相关的发布量(HGU+LAP)以及高一般使用量和高与酒精相关的发布量(HGU+HAP)。前瞻性分析显示,与 HGU+LAP 和 LGU+LAP 相比,HGU+HAP 成员与描述性同伴饮酒规范、酒精使用和后果之间的关联更大。结果表明,在大学生过渡期间,存在与高风险饮酒相关的不同一般和与酒精相关的 SM 使用模式,这可以为针对 SM 相关酒精风险的干预措施提供信息。这些发现说明了全面研究 SM 使用的重要性,并表明研究与酒精相关的 SM 行为可能会揭示一般 SM 行为可能无法捕捉到的个体酒精风险的差异。