Abstract
BackgroundUnderstanding the social environmental around obesity has been limited by available data. One promising approach used to bridge similar gaps elsewhere is to use passively generated digital data.PurposeThis article explores the relationship between online social environment via web-based social networks and population obesity prevalence.MethodsWe performed a cross-sectional study using linear regression and cross validation to measure the relationship and predictive performance of user interests on the online social network Facebook to obesity prevalence in metros across the United States of America (USA) and neighborhoods within New York City (NYC). The outcomes, proportion of obese and/or overweight population in USA metros and NYC neighborhoods, were obtained via the Centers for Disease Control and Prevention Behavioral Risk Factor Surveillance and NYC EpiQuery systems. Predictors were geographically specific proportion of users with activity-related and sedentary-related interests on Facebook.ResultsHigher proportion of the population with activity-related interests on Facebook was associated with a significant 12.0% (95% Confidence Interval (CI) 11.9 to 12.1) lower predicted prevalence of obese and/or overweight people across USA metros and 7.2% (95% CI: 6.8 to 7.7) across NYC neighborhoods. Conversely, greater proportion of the population with interest in television was associated with higher prevalence of obese and/or overweight people of 3.9% (95% CI: 3.7 to 4.0) (USA) and 27.5% (95% CI: 27.1 to 27.9, significant) (NYC). For activity-interests and national obesity outcomes, the average root mean square prediction error from 10-fold cross validation was comparable to the average root mean square error of a model developed using the entire data set.ConclusionsActivity-related interests across the USA and sedentary-related interests across NYC were significantly associated with obesity prevalence. Further research is needed to understand how the online social environment relates to health outcomes and how it can be used to identify or target interventions.
Highlights
The rapid increase in the population prevalence of obesity worldwide suggests the important role of environmental effects [1,2,3]
Activity-related interests across the United States of America (USA) and sedentary-related interests across New York City (NYC) were significantly associated with obesity prevalence
Further research is needed to understand how the online social environment relates to health outcomes and how it can be used to identify or target interventions
Summary
The rapid increase in the population prevalence of obesity worldwide suggests the important role of environmental effects [1,2,3]. The so-called poor urban ‘‘food desert’s’’ effect on obesity has been called into question [7]. These assorted results motivate study of the impact of other environmental factors in relation to obesity. There is evidence for the social environment’s influence on obesity in both individual [8,9] and community settings [10,11,12,13]. Purpose: This article explores the relationship between online social environment via web-based social networks and population obesity prevalence
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