Predicting Prediabetes Through Facebook Postings: Protocol for a Mixed-Methods Study.

ABSTRACT: BACKGROUND:The field of infodemiology uses health care trends found in public networks, such as social media, to track and quantify the spread of disease. Type 2 diabetes is on the rise worldwide, and social media may be useful in identifying prediabetes through behavior exhibited through social media platforms such as Facebook and thus in designing and administering early interventions and containing further progression of the disease. OBJECTIVE:This pilot study is designed to investigate the social media behavior of individuals with prediabetes, before and after diagnosis. Pre- and postdiagnosis Facebook content (posts) of such individuals will be used to create a taxonomy of prediabetes indicators and to identify themes and factors associated with an actual diagnosis of prediabetes. MET

SUBMITTER: Xu X 

PROVIDER: S-EPMC6315248 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature