Abstract
The increasing access to online health information and the use of this information for self-medication or self-diagnosis can foster a discounting of the epistemic authority of experts, as well as an over-reliance on laypersons' expertise. However, the emerging cognitive bias-the overconfidence effect-is poorly investigated in the sociological field. This study offers a novel contribution to the role of overconfidence bias in online health information-seeking behavior and self-care practices. A cross-sectional study was conducted through an online survey on a sample of 783 Italian university students. Univariate linear regression and stepwise multiple linear regression analysis were performed on the collected data. The findings suggest that overconfidence and self-care practices are predictors of health information seeking online. The multiple linear regression model revealed that the association between overconfidence bias and online health information seeking is mediated by self-care behaviors. Therefore, the overconfidence effect influences health information seeking to the extent that the search for information is aimed at self-care practices. This study could trigger further research on implementing the overconfidence effect and self-care in theoretical models of health information seeking.
| Original language | English |
|---|---|
| Pages (from-to) | 793-812 |
| Number of pages | 20 |
| Journal | Sociological Forum |
| Issue number | 38/3 |
| DOIs | |
| Publication status | Published - 2023 |
All Science Journal Classification (ASJC) codes
- Sociology and Political Science
Keywords
- e-health literacy
- health information seeking
- lay-expert
- overconfidence bias
- self-care
- trust
Fingerprint
Dive into the research topics of 'I Know That I Know: Online Health Information Seeking, Self-Care and the Overconfidence Effect'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver