Predictive Factors for Online Health Information-Seeking Behavior among Adults in the Russian Federation

Background: The internet is fast becoming one of the key instruments for seeking health-related information. This study aimed to investigate factors associated with internet use for health information among adults in the Russian Federation and to identify factors that explain its variation. Methods: The data were collected from the online survey conducted in Russian Federation on Aug-Sep 2020. A bivariate chi-square test was used to identify factors for further analysis. The binomial logistic regression model was fitted to the data to determine the relationship between dependent and independent variables. Results: Overall, 1319 adults' survey submissions were analyzed. The binomial regression model showed wom-en (OR 1.507, 95% CI 1.152-1.972), those with higher education level (OR 2.688, 95% CI 1.380-5.234), avid Internet users (3-4 h per day OR 2.187, 95% CI 1.383-3.460; 5+ h per day OR 2.361, 95% CI 1.475-3.781) are more likely to seek the health information on the Internet. Older participants (35-49 yr OR .701, 95% CI .498-.988; 50+ yr OR .624, 95% CI .430-.907) and those who live in rural areas (OR .469, 95% CI .308-.712) are less likely to use the internet for health information. Conclusion: It is important to promote health information-seeking behavior among men, older, less educated individuals, and those who live in rural areas. The improvement of digital skills and infrastructure may engage those who experience difficulties accessing health information over the internet.