Detecting Youth Drinking and Associations with Alcohol Policies via Social Media

通过社交媒体检测青少年饮酒情况以及与酒精政策的关联

基本信息

批准号：
9069662
负责人：
RUMI CHUNARA
金额：
$ 21.02万
依托单位：
BOSTON CHILDREN'S HOSPITAL
依托单位国家：
美国
项目类别：
财政年份：
2015
资助国家：
美国
起止时间：
2015-06-01 至 2018-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9069662
关键词：
Absenteeism at work Address Adolescence Adolescent Adolescent Risk Behavior Adolescent and Young Adult Adverse event Age Alcohol abuse Alcohol consumption Americas Awareness Behavior Behavior monitoring Caring Characteristics Classification Clinical Research Communicable Diseases Communication Complement Consumption Data Detection Direct Costs Disease Outbreaks Drug usage Environment Environmental Risk Factor Epidemiology Evaluation Event Federal Government Feedback Future Geographic state Health Health behavior Household Internet Intervention Investigation Knowledge Letters Local Government Machine Learning Measures Medical Methods Mining Monitor Morbidity - disease rate Neighborhoods Obesity Outcome Pattern Persons Policies Population Population Surveillance Prevalence Preventive Intervention Problem behavior Public Health Public Health Informatics Reporting Resolution Risk Risk Behaviors Sampling Schools Seasons Severities Social Behavior State Government Structure Subgroup Substance Use Disorder Surveillance Program Surveys System Techniques Testing Text Time Validation Work Youth adolescent substance use age group alcohol and other drug authority base cost cost effective digital drinking environmental intervention experience flexibility follow-up high risk improved mortality multidisciplinary novel strategies primary outcome public policy on alcohol response social social media temporal measurement trend underage drinking willingness

项目摘要

DESCRIPTION (provided by applicant): The magnitude and cost of alcohol and other drug (AOD) related problems originating in adolescence make it especially vital to monitor these behaviors, identify high-risk groups and evaluate preventive interventions such as policy measures. Adolescent substance use is associated with the four leading causes of morbidity and mortality in this age group and results in more than $25 billion in direct costs due to medical care and lost time at work annually. Denominator-based health surveillance systems provide population-representative structured data to inform policy and guide clinical and research objectives to address this problem. However, survey timeframes and sampling frames do not support real-time monitoring, robust subgroup investigation, flexible follow up or feedback of health alerts and information to subjects. Harnessing youth engagement with online social media to derive timely information about alcohol use behaviors and problems may accelerate public health awareness and drive targeted responses. The purpose of our project is to develop a new approach to public health surveillance of underage drinking that centers on mining social media communications in Facebook. The approach may: fill gaps in knowledge about risky, stigmatizing or sensitive behaviors; describe subgroups of youth who may not have opportunity/willingness to report about risk behaviors to public health authorities or clinicians; accelerate detection of trends to "real time"; and, enable evaluation of policy interventions to resolve impacts at greater temporal-social-geographic levels. Our specific aims are: Aim 1 - Derive metrics of underage alcohol consumption from user-generated Facebook data, testing correspondence of social media and traditional surveillance reports at the state level. The approach is to collect text reports from the public profiles of US Facebook users ages 13-20 years, creating alcohol use metrics from these data by parsing, filtering and classifying them using machine learning techniques. The main hypotheses are that (1.a) patterns of underage drinking derived from social media will correlate with traditional surveillance reports and (1.b) vary in relation to seasons/events. Aim 2 - Establish the relationship between validated measures of the alcohol policy environment and measures of youth alcohol consumption obtained from social media. The approach is to ascertain associations among extant, validated alcohol policy scores measured at the state level and social media sourced measures of underage drinking and harms (from Aim 1). The main hypothesis is that social media metrics of underage alcohol use will be associated with alcohol policy at the state level. By utilizing the expertise of an experienced multidisciplinary team and a comprehensive rigorous approach, we anticipate findings that will advance public health methods for monitoring underage drinking and harms and generate a paradigm shift for policy evaluation by enabling real-time investigation of impacts at fine temporal- spatial resolution.

描述（由适用提供）：源自青少年的酒精和其他药物（AOD）相关的问题的大小和成本，使监测这些行为，识别高风险群体并评估预防性干预措施（例如政策措施）特别重要。青春期药物使用与该年龄段的发病率和死亡率的四个主要原因有关，由于医疗而导致的直接费用超过250亿美元照顾和每年工作的时间浪费。基于分母的健康监视系统提供了人口代表性的结构化数据，以指导政策，并指导临床和研究目标以解决此问题。但是，调查时间范围和采样框架不支持实时监控，稳健的子组调查，灵活的后续措施或健康警报的反馈以及对受试者的信息。利用青年参与在线社交媒体，以获取有关饮酒行为和问题的及时信息，可能会加速公共健康意识并推动针对性的反应。我们项目的目的是开发一种新的方法来对未成年人饮酒进行公共卫生监视，该方法集中在Facebook中的社交媒体传播方面。方法可能：填补有关风险，污名化或敏感行为的知识的空白；描述可能没有机会/愿意向公共卫生当局或临床医生报告风险行为的青年子组；加速趋势的检测到“实时”；并且，能够评估政策干预措施，以解决更大的临时社会地理水平的影响。我们的具体目的是：目标1-从用户生成的Facebook数据，社交媒体测试对应关系以及州一级传统监视报告的未成年饮酒指标。这种方法是通过使用机器学习技术解析，过滤和分类，从这些数据中从这些数据中收集了13-20岁的Facebook用户的公开资料的文本报告，从而从这些数据中创建了酒精使用指标。主要的假设是（1.a）从社交媒体中得出的未成年人饮酒模式将与传统的监视报告相关，并且（1.b）与季节/事件有关。目标2-建立验证的酒精政策环境措施与从社交媒体获得的青年饮酒量度之间的关系。这种方法是确定在州一级测量的现存，验证的酒精政策评分以及社交媒体的未成年人饮酒和危害的测量（来自AIM 1）。主要的假设是，未成年饮酒的社交媒体指标将与州一级的酒精政策有关。通过利用经验丰富的跨学科团队的专业知识和全面的严格方法，我们预计发现将提高公共卫生方法，以监测饮酒和危害下的监测，并通过以精美的临时空间分辨率实现影响的实时投资，从而产生范式转变以进行政策评估。

项目成果

期刊论文数量（3）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Online Searching and Social Media to Detect Alcohol Use Risk at Population Scale.

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
发表时间：
2020
期刊：
American journal of preventive medicine
影响因子：
5.5
作者：
Weitzman,ElissaR;Magane,KaraM;Chen,Po-Hua;Amiri,Hadi;Naimi,TimothyS;Wisk,LaurenE
通讯作者：
Wisk,LaurenE

High-resolution Temporal Representations of Alcohol and Tobacco Behaviors from Social Media Data.

社交媒体数据中酒精和烟草行为的高分辨率时间表示。