Suppr超能文献

传播政策以减少健康差异:YouTube 电视广告的跨语言内容分析。

Communication Policy to Reduce Health Disparities: A Cross-Language Content Analysis of YouTube Television Advertising.

机构信息

Department of Sociomedical Sciences, Columbia University Mailman School of Public Health, New York, New York; Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York.

Department of Public Health, College of Arts and Sciences, Santa Clara University, Santa Clara, California.

出版信息

Am J Prev Med. 2024 Oct;67(4):521-529. doi: 10.1016/j.amepre.2024.05.016. Epub 2024 Jun 4.

Abstract

INTRODUCTION

This study aimed to identify disparate health-related marketing across English- and Spanish-language television networks in New York City, ultimately to inform policy that can counteract disproportionate health-related marketing that provides harmful content to and withholds beneficial information from Latinx populations.

METHODS

A 2-week composite sample of primetime English-language (National Broadcasting Company and Columbia Broadcasting System) and Spanish-language (Telemundo and Univision) television networks from YouTube television was randomly drawn from September 7, 2022 to September 27, 2022 in New York City. A total of 9,314 health-related television advertisements were identified for systematic media content analysis and coded into categories: alcohol, core or noncore foods/beverages, mental health/tobacco prevention, health insurance, medical centers, and pharmaceuticals. Analyses conducted in 2022-2024 included intercoder reliability and descriptive and rate difference estimates using total advertisement broadcasting time in the full sample and subsamples by language networks on YouTube television.

RESULTS

Spanish television networks broadcast greater health-adverse advertisements per hour for alcohol (rate difference=4.91; 95% CI=3.96, 5.85) and noncore foods/beverages (rate difference=13.43; 95% CI=11.52, 15.34) and fewer health-beneficial advertisements per hour for mental health/tobacco prevention (rate difference= -0.99; 95% CI= -1.45, -0.54), health insurance (rate difference= -1.00; 95% CI= -1.44, -0.57), medical centers (rate difference= -0.55; 95% CI= -1.23, 0.12), and pharmaceuticals (rate difference= -5.72; 95% CI= -7.32, -4.11) than New York City primetime English television networks.

CONCLUSIONS

Multilevel policy innovation and implementation are required to mitigate primetime television marketing strategies that contribute to health inequities.

摘要

简介

本研究旨在确定纽约市英语和西班牙语电视网络中不同的与健康相关的营销活动,最终为制定政策提供信息,以抵制向拉丁裔人群提供有害内容并隐瞒有益信息的不成比例的与健康相关的营销活动。

方法

从 2022 年 9 月 7 日至 2022 年 9 月 27 日,通过 YouTube 电视随机抽取了纽约市为期两周的黄金时段英语(全国广播公司和哥伦比亚广播公司)和西班牙语(Telemundo 和 Univision)电视网络的综合样本。对总共 9314 则与健康相关的电视广告进行了系统的媒体内容分析,并对其进行了分类:酒精、核心或非核心食品/饮料、心理健康/烟草预防、健康保险、医疗中心和药品。2022 年至 2024 年进行的分析包括使用全样本和 YouTube 电视上按语言网络划分的子样本中的总广告播出时间进行的编码者间可靠性以及描述性和率差异估计。

结果

西班牙语电视网络每小时播出的与健康相关的负面广告数量更多,涉及酒精(差异率=4.91;95%置信区间=3.96,5.85)和非核心食品/饮料(差异率=13.43;95%置信区间=11.52,15.34),而每小时播出的与心理健康/烟草预防(差异率=-0.99;95%置信区间=-1.45,-0.54)、健康保险(差异率=-1.00;95%置信区间=-1.44,-0.57)、医疗中心(差异率=-0.55;95%置信区间=-1.23,0.12)和药品(差异率=-5.72;95%置信区间=-7.32,-4.11)的广告数量较少。

结论

需要采取多层次的政策创新和实施,以减轻导致健康不平等的黄金时段电视营销策略。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验