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Am J Public Health ; 111(7): 1348-1351, 2021 07.
Article in English | MEDLINE | ID: covidwho-1360669

ABSTRACT

Objectives. To examine prevalence and predictors of digital health engagement among the US population. Methods. We analyzed nationally representative cross-sectional data on 7 digital health engagement behaviors, as well as demographic and socioeconomic predictors, from the Health Information National Trends Survey (HINTS 5, cycle 2, collected in 2018; n = 2698-3504). We fitted multivariable logistic regression models using weighted survey responses to generate population estimates. Results. Digitally seeking health information (70.14%) was relatively common, whereas using health apps (39.53%) and using a digital device to track health metrics (35.37%) or health goal progress (38.99%) were less common. Digitally communicating with one's health care providers (35.58%) was moderate, whereas sharing health data with providers (17.20%) and sharing health information on social media (14.02%) were uncommon. Being female, younger than 65 years, a college graduate, and a smart device owner positively predicted several digital health engagement behaviors (odds ratio range = 0.09-4.21; P value range < .001-.03). Conclusions. Many public health goals depend on a digitally engaged populace. These data highlight potential barriers to 7 key digital engagement behaviors that could be targeted for intervention.


Subject(s)
Consumer Health Information/methods , Digital Technology/statistics & numerical data , Health Behavior , Adult , Age Factors , Aged , Aged, 80 and over , Cross-Sectional Studies , Female , Fitness Trackers/statistics & numerical data , Humans , Male , Middle Aged , Mobile Applications/statistics & numerical data , Public Health , Sex Factors , Socioeconomic Factors
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