Twitter and Cardiovascular Health

描述（由申请人提供）：心血管 (CV) 疾病影响美国三分之一以上的成年人，并与显着的发病率和死亡率相关。症状识别、治疗、健康行为改变和药物依从性的改善可以减轻心血管疾病的负担。在当前的数字时代，需要更好地了解社交媒体网站上的信息如何为我们通过新颖的方法改善心血管健康的方法提供信息。我们建议研究 Twitter 上关于几种心血管疾病（高血压 [HTN]、糖尿病 [DM]、充血性心力衰竭 [CHF]、心肌梗死 [MI]、心脏骤停 [SCA]）及其相关后遗症（例如症状、危险因素、健康行为、药物依从性、结果）的对话。首先，在目标 1 中，我们将通过频率、相关性、内容、准确性、来源、时间特征、地理位置和人口统计特征来描述与心血管疾病和相关后遗症相关的推文。在目标 2 中，我们将使用这些数据来衡量通过 Twitter 报告的心血管疾病和健康行为与这些疾病的已知流行病学的相关程度。目标 3 将探索时间趋势和新闻冲击，以揭示 CV 健康数据的演变、传播和转变，目标是创建一个预测模型，以确定何时以及如何以最佳方式传播 CV 高影响健康信息。最后，在目标 4 中，我们将识别并验证患有自我报告的心血管疾病的推特用户样本。然后，我们将使用 Twitter 提供高影响力的心血管疾病特定信息，以改善患者的激活和疾病管理。该提案的长期目标是更好地了解研究这种社交和数字通信形式作为改善心血管健康和健康行为的方法的用途和局限性。

DESCRIPTION (provided by applicant): Cardiovascular (CV) disease affects more than a third of adults in the United States and is associated with significant morbidity and mortality. Improvements in symptom recognition, treatment, health behavior modification, and medication adherence could reduce the burden of CV disease. In the current digital age, needed is a better understanding of how information on social media sites may inform our approaches to improving CV health through novel methodologies. We propose to study the conversation on Twitter about several CV diseases (hypertension [HTN], diabetes [DM], congestive heart failure [CHF], myocardial infarction [MI], sudden cardiac arrest [SCA]) and their associated sequelae (e.g. symptoms, risk factors, health behaviors, medication adherence, outcomes). First, in Aim 1 we will characterize tweets related to CV diseases and associated sequelae by frequency, relevance, content, accuracy, source, temporal characteristics, geography, and demographics. In Aim 2, we will then use these data to measure the extent to which CV diseases and health behaviors reported via Twitter correlate with the known epidemiology of these conditions. Aim 3 will explore temporal trends and news shocks to reveal the evolution, diffusion, and transformation of CV health data with a goal of creating a forecasting model to determine when and how to optimally disseminate CV high impact health messages. Finally, in Aim 4 we will identify and validate a sample of tweeters with self-reported CV diseases. We will then use Twitter to deliver high impact CV disease-specific information to improve patient activation and disease management. The long term goal of this proposal is to better understand the uses and limitations of studying this social and digital form of communication as an approach to improving CV health and health behaviors.