Online Searching and Social Media to Detect Alcohol Use Risk at Population Scale.
Online Searching and Social Media to Detect Alcohol Use Risk at Population Scale.
复制标题
在线搜索和社交媒体可检测人口规模的饮酒风险。
DOI：
10.1016/j.amepre.2019.08.027
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发表时间：
2020
影响因子：
5.5
通讯作者：
Wisk,LaurenE
中科院分区：
文献类型：
--
作者：
Weitzman,ElissaR;Magane,KaraM;Chen,Po-Hua;Amiri,Hadi;Naimi,TimothyS;Wisk,LaurenE
利用在线搜索和社交媒体的参与可以为监测酒精使用提供补充信息，为预防和政策评估提供信息，并扩展国家调查提供的知识。（数据，2014-2017），以及使用自然语言处理估计与酒精使用相关的Twitter帖子的比例（数据，2014-2015）。为美国所有50个州以及华盛顿，华盛顿特区创建了搜索/发布措施。从行为风险因素监测系统（数据，2014-2016年）和酒精政策量表中获得了酒精使用调查报告和州酒精政策摘要。在2018-2019年，搜索/发布措施与最近的行为风险因素监测系统报告之间的关联（过去30天）酒精使用和最大饮酒量使用logistic和线性回归进行估计，调整社会人口统计学和互联网使用，与适度测试回归，其中包括相互作用的选择搜索/张贴措施和酒精政策Scale.ResultsRecent酒精使用报告的52.93%1，297，168名行为风险因素监测系统受访者，这与未调整和调整模型中的所有州级搜索/发布措施相关（p<0.0001）。在饮酒者中，大多数搜索/发布措施与饮酒的最大数量相关（p<0.0001）。协会不同的曝光高与低水平的国家政策控制alcohol.ConclusionsStrong协会之间发现个人饮酒和国家级酒精相关的搜索/发布措施，这是由国家酒精政策的强度缓和。研究结果支持使用新的个人生成的数据来监测酒精使用，并可能评估酒精控制政策的影响。
IntroductionHarnessing engagement in online searching and social media may provide complementary information for monitoring alcohol use, informing prevention and policy evaluation, and extending knowledge available from national surveys.MethodsRelative search volumes for 7 alcohol-related keywords were estimated from Google Trends (data, 2014–2017), and the proportion of alcohol use–related Twitter posts (data, 2014–2015) was estimated using natural language processing. Searching/posting measures were created for all 50 U.S. states plus Washington, D.C. Survey reports of alcohol use and summaries of state alcohol policies were obtained from the Behavioral Risk Factor Surveillance System (data, 2014–2016) and the Alcohol Policy Scale. In 2018–2019, associations among searching/posting measures and same state/year Behavioral Risk Factor Surveillance System reports of recent (past-30-day) alcohol use and maximum number of drinks consumed on an occasion were estimated using logistic and linear regression, adjusting for sociodemographics and Internet use, with moderation tested in regressions that included interactions of select searching/posting measures and the Alcohol Policy Scale.ResultsRecent alcohol use was reported by 52.93% of 1,297,168 Behavioral Risk Factor Surveillance System respondents, which was associated with all state-level searching/posting measures in unadjusted and adjusted models (p<0.0001). Among drinkers, most searching/posting measures were associated with maximum number of drinks consumed (p<0.0001). Associations varied with exposure to high versus low levels of state policy controls on alcohol.ConclusionsStrong associations were found among individual alcohol use and state-level alcohol-related searching/posting measures, which were moderated by the strength of state alcohol policies. Findings support using novel personally generated data to monitor alcohol use and possibly evaluate effects of alcohol control policies.