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Published on: October 20, 2022
Socioeconomic Factors Influence Health Information Seeking and Trust Over Time: Evidence From a Cross-Sectional,
Naleef Fareed1,2, Pallavi Jonnalagadda1, Christine M Swoboda1
1CATALYST-The Center for the Advancement of Team Science, Analytics, and Systems Thinking, College of Medicine, 2647The Ohio State University, Columbus, OH, USA.
Purpose:
Assessed socioeconomic factors in health information seeking behavior and trust of information sources from 2007 to 2017.
Design:
Pooled cross-sectional survey data.
Setting:
Health Information National Trends Survey.
Participation:
Data included 6 iterations of U.S. adults (Pooled: N = 19,496; 2007: N = 3,593; 2011: N = 3,959; 2013: N = 3,185; FDA 2015: N = 3,738; 2017: N = 3,285; and FDA 2017: N = 1,736).
Measures:
Outcome variables were health information seeking, high confidence, and high trust of health information from several sources. Independent variables were education and income group, controlling for other sociodemographic variables.
Analysis:
Weighted descriptive and multivariate logistic regression for the pooled sample assessed associations by education and income. Fully interacted models with education/income-survey year interactions compared differences in outcomes between years.
Results:
We found information seeking, confidence, and trust were associated with income and education, which supported previously reported findings. Additionally, our findings indicated low-and medium-income groups had significantly lower odds of seeking health information compared to those in a high-income group. Regarding trust of information, a high school education was associated with higher odds of trust in family and friends. We also found that, over time, information seeking, confidence, and trust behavior differed by income and education, with some differences persisting.
Conclusion:
Disparities by income and education in trust of information sources remained across time. Understanding optimal information sources, their reach, and their credibility among groups could enable more targeted interventions and health messaging. We also describe the implications for our findings in the context of COVID-19.
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