Digital phenotyping and ASCVD risk: An exploratory cross-sectional analysis using online behavioral data

A retrospective, exploratory cross-sectional analysis exploring whether social media data is associated with cardiovascular disease (CVD) risk beyond traditional clinical models. While social media data may capture behavioral and social markers relevant to CVD, their associations with CVD risk remains uncertain.

Associations between Facebook wall posts and ASCVD risk warrants further exploration and validation.

Our analysis used combined Facebook wall posts and electronic health records to examine cardiovascular disease risk factors.

We found no associations between Facebook wall posts and ASCVD risk, while prior work suggests stronger associations between Facebook language and mental health conditions.

National Heart, Lung, and Blood Institute

Lauren Southwick, Neil K R Sehgal, Dena Torrente, Veronica Murgulescu, Devon Schroeder, David A Asch, Lyle Ungar, Nandita Mitra, Peter Groenveld, Stephen E Kimmel, Gary E Weissman, Sharath Chandra Guntuku, Raina M Merchant