Albert Stephanie L, Abrams Courtney, Cassidy Omni, Dupuis Roxanne, Hall Zora, Rego Sol, Heng Lloyd, Hafeez Emil, Elbel Brian, Bragg Marie A
Department of Population Health, NYU Grossman School of Medicine, New York, New York, USA.
Department of Population Health, NYU Grossman School of Medicine, New York, New York, USA
BMJ Open. 2025 Jun 22;15(6):e105229. doi: 10.1136/bmjopen-2025-105229.
Social media is the most prominent source of online food and beverage advertisements (ads) seen by adolescents. Companies target adolescent social media users with ads that feature calorie-dense, nutrient-poor products, and exposure to ads drives poor diet and risk for future diet-related diseases. Black, Hispanic and lower socio-economic status youth are exposed to significantly more ads than White peers. Several state-level policies in the USA have passed restricting youth from accessing social media without parental approval, and some policies have banned advertising to youth. This protocol paper describes a current study that aims to understand the impact of such policies in two states, Louisiana and Texas, as they were among the first to be implemented with racially/ethnically diverse populations.
This study employs a repeated cross-sectional difference-in-difference design in which 700 youth ages 13-17 years are being recruited each year for 5 years (Louisiana n=175, Texas n=175, matched comparisons from other states n=350). Youth screen record their mobile devices for 60 minutes while they browse social media platforms (eg, TikTok, Instagram) or use the internet. They also complete a brief survey about a variety of topics (eg, health behaviours, mental health). Adolescents are compensated for screen recording ($75) and the survey ($25). Study team members are coding recordings for several characteristics, including media platforms used, appearances of food or beverages, and food or beverage type. We will estimate the impact of policies on food and beverage ads seen per hour using Ordinary Least Squares regression models and heterogeneity-robust standard errors clustered at the state level (by year and cumulatively). We will run additional models with interaction terms with income and race/ethnicity, separately, to test the role of the policies on health disparities.
Study procedures have been approved by the Institutional Review Board of the NYU Grossman School of Medicine. We will distribute findings in peer-reviewed journals and at local and national conferences. To complement traditional dissemination pathways, we will create infographics to share with relevant community stakeholders. We will also share findings with policymakers in states that have passed or considered similar policies.
社交媒体是青少年看到的在线食品和饮料广告最主要的来源。公司用高热量、低营养产品的广告来瞄准青少年社交媒体用户,接触这些广告会导致不良饮食以及未来患饮食相关疾病的风险。黑人、西班牙裔和社会经济地位较低的青年比白人同龄人接触到的广告要多得多。美国有几项州级政策已通过,限制青少年未经父母批准访问社交媒体,一些政策还禁止向青少年做广告。本方案文件描述了一项当前的研究,旨在了解路易斯安那州和得克萨斯州这两个州此类政策的影响,因为它们是最早在种族/族裔多样化人群中实施这些政策的州之一。
本研究采用重复横断面差异分析设计,在5年时间里每年招募700名13至17岁的青少年(路易斯安那州n = 175,得克萨斯州n = 175,来自其他州的匹配对照组n = 350)。青少年在浏览社交媒体平台(如TikTok、Instagram)或使用互联网时,用屏幕录制设备记录60分钟。他们还会完成一份关于各种主题(如健康行为、心理健康)的简短调查。青少年因屏幕录制(75美元)和调查(25美元)而获得报酬。研究团队成员正在对录制内容进行编码,以获取几个特征,包括使用的媒体平台、食品或饮料的出现情况以及食品或饮料类型。我们将使用普通最小二乘法回归模型和在州一级(按年份和累计)聚类的异质性稳健标准误差来估计政策对每小时看到的食品和饮料广告的影响。我们将分别运行带有收入和种族/族裔交互项的额外模型,以测试政策在健康差异方面的作用。
研究程序已获得纽约大学格罗斯曼医学院机构审查委员会的批准。我们将在同行评审期刊以及地方和全国性会议上发表研究结果。为补充传统的传播途径,我们将制作信息图表与相关社区利益相关者分享。我们还将与已通过或考虑过类似政策的州的政策制定者分享研究结果。