Trusting internet health advice may increase anxiety and reduce well-being

Trust in online health information may carry hidden psychological costs, with the strongest harms falling on low-income, rural and less-supported groups, according to new research published in Humanities and Social Sciences Communications, which found that people who place greater confidence in internet-based health content report lower subjective well-being.

The article, titled The trust trap: how trust in online health information harms subjective well-being, uses nationally representative data from the 2021 Chinese General Social Survey and challenges the common assumption that greater trust in digital health information is always beneficial, arguing that misplaced or excessive trust can increase health-related searching, distort health literacy and worsen mental well-being.

Digital health trust becomes a double-edged sword

Online health information has become a routine part of everyday decision-making. Millions of users turn to search engines, social platforms and health websites to judge symptoms, compare treatments, assess medical advice and decide whether to seek professional care. In China, the study notes, hundreds of millions of users engage in health-related internet activity, making the country a major setting for understanding how digital health information affects public well-being.

The study finds a significant negative relationship between trust in online health information and subjective well-being, a measure that captures how people evaluate their own life satisfaction, emotional state and quality of life.

The researchers define trust in online health information as the belief that internet-based health content is credible, reliable and accurate enough to guide health-related judgments. They measured this trust through responses to questions on whether the internet helps people decide if they need to see a doctor and whether it helps confirm if doctors are giving appropriate advice. Subjective well-being was measured through a validated scale for Chinese citizens.

The study analyzed 1,305 individuals across 19 Chinese provinces who completed the health module of the 2021 Chinese General Social Survey. The dataset included information on health status, lifestyle, social attitudes, education, income, hukou status, healthcare support and demographic factors. The authors used fixed-effects regression models and robustness checks to test whether the association held after accounting for possible confounding factors.

The results show that higher trust in online health information is associated with lower subjective well-being. The baseline models found that a one-unit increase in trust in online health information was linked to a statistically significant reduction in subjective well-being. The pattern remained after adding individual controls and provincial fixed effects.

The authors then tested whether the finding was robust by using alternative outcome measures, instrumental variable estimation and propensity score matching. When depression risk was used as an alternative measure connected to well-being, higher trust in online health information was associated with higher depression risk. Matching results also showed that the high-trust group had lower well-being than the low-trust group.

The paper's findings complicate the broader health communication literature, which often treats trust as a foundation of effective health engagement. In offline healthcare, trust in physicians and institutions is usually considered beneficial because it can improve communication, treatment adherence and care-seeking behavior. Online, however, trust can function differently. When information quality is uneven and users lack tools to assess credibility, trust may expose people to more confusion, anxiety and misleading guidance.

This doesn't mean all online health information is harmful. The study does not argue against digital health resources. Instead, it warns that trust without adequate health literacy and digital literacy can become risky. The problem is not simply access to information, but the inability to judge what is reliable, what is exaggerated, and what should be discussed with a medical professional.

Health searches, literacy gaps and anxiety drive the harm

The study identifies three main pathways linking trust in online health information to lower well-being: health behavior, health literacy and health outcomes.

Behavior

People who trust online health information are more likely to search for it intensively. The study found that higher trust increased frequent searching for general health information, healthy lifestyle information and vaccine-related information, suggesting that trust encourages heavier reliance on the internet as a health resource.

This pattern can become harmful when repeated searching leads to information overload. Online health content is often conflicting, incomplete, sensationalized or poorly sourced. Users searching for symptoms may encounter severe diagnoses, alarming claims, anecdotal experiences and contradictory treatment advice. Instead of reducing uncertainty, such information can increase it.

Health literacy

The authors examine health literacy not only as basic knowledge, but as the ability to evaluate health claims and make informed decisions. Their findings suggest that higher trust in online health information is linked with a stronger preference for traditional medicine over modern medicine and with greater bias in people's perceptions of their own well-being.

The traditional medicine finding is especially important in China's medically pluralistic context, where users may encounter competing claims from modern medicine, traditional Chinese medicine, commercial wellness content and informal online advice. The study treats an uncritical preference for traditional medicine over Western medicine as a possible indicator of weaker critical health literacy, especially when users rely heavily on online content without strong evidence evaluation skills.

Well-being perception bias is another key mechanism. The study finds that people who trust online health information more are also more likely to misjudge their own well-being. Such bias can operate in different directions. Some users may underestimate their health, becoming anxious or pessimistic. Others may overestimate their condition and ignore risks. Both patterns can harm subjective well-being by distorting how individuals interpret symptoms, risks and personal health status.

Health outcomes

The analysis found that trust in online health information is associated with higher levels of depression or frustration reported in the previous four weeks. The authors link this to the possibility that trusted online content can intensify worry, encourage self-diagnosis, expose users to alarming claims and weaken confidence in professional care.

The study's mechanism analysis points to a broader digital health risk. Trust can encourage more searching; more searching can increase exposure to mixed-quality content; poor critical appraisal can distort interpretation; and the resulting anxiety can reduce well-being. In this chain, trust is not protective. It is the condition that makes users more open to online influence.

The researchers connect these findings to theories of information overload and digital risk. In a crowded digital environment, individuals are expected to manage more health information than ever before. But the capacity to evaluate that information is unevenly distributed. People with stronger education, better healthcare access and higher digital literacy may be better able to separate reliable sources from unreliable ones. Others may absorb online health claims in ways that increase distress.

For public health messaging, encouraging people to "look up" health information is not enough. Without safeguards, search habits can become a source of harm. Digital health systems must help users identify credible sources, understand uncertainty and know when professional care is needed.

Vulnerable groups face the strongest well-being losses

The study finds that the negative effect of trust in online health information is not evenly distributed. It is most pronounced among people with low socioeconomic status, rural hukou holders and residents of less-developed regions. By contrast, the effect was not statistically significant among higher-SES groups, urban hukou holders or residents of developed provinces.

The people most harmed by misplaced digital health trust are often those who already face barriers to professional healthcare, higher-quality health education and reliable offline support. For them, the internet may serve as a substitute for medical consultation rather than a supplement to it.

The study also identifies poor health status and lack of public health insurance as factors that worsen the relationship between online health trust and well-being. Individuals in poor health may search more urgently and frequently for explanations, making them more vulnerable to alarming or misleading content. Those without public health insurance may rely more heavily on online sources because professional care is less accessible or more costly. This creates a cumulative disadvantage. A person with poor health, limited healthcare support, lower income, weaker digital literacy and high trust in online information may be more likely to search intensely, misinterpret content, delay professional care, become anxious and experience lower well-being. Digital health information, under these conditions, may deepen rather than reduce inequality.

The findings place online health trust within the wider framework of risk society, where modern individuals face new forms of uncertainty produced by technological systems. The internet gives users unprecedented access to health content, but also transfers more responsibility to individuals to evaluate medical claims. For vulnerable groups, that responsibility can become a psychological burden.

The study offers several policy recommendations:

• Governments and health systems should support certified online health platforms with physician-verified content. Source authentication technologies should help users distinguish reliable health information from questionable material.
• Public health agencies should invest in targeted health literacy and digital literacy programs, especially for rural residents, low-SES groups and people in less-developed regions.
• Interventions that strengthen users' ability to judge online health information critically are needed. Such programs should not only teach people how to search, but how to assess source quality, recognize misinformation, understand uncertainty and decide when online advice must be checked with professionals.

Lastly, the paper has some limitations, including its reliance on self-reported data, which may include response bias. Its cross-sectional design limits causal claims, even though the authors use multiple statistical strategies to address endogeneity. The measure of trust is also focused on practical health decisions, which may not capture all dimensions of trust in online information. The data were collected during the COVID-19 period, when public interest in health information was unusually high, though the authors argue that the broader digital mechanisms are likely to persist beyond the pandemic context.

Despite those limits, the study delivers a clear warning: trust in online health information should not be treated as an automatic public good. In digital health environments filled with uneven, conflicting and sometimes misleading content, trust can become a trap.

For policymakers, the message is direct. Expanding access to online health information must be paired with stronger quality control, better source verification and literacy support. For healthcare providers, the findings suggest that patients' online health searches should be addressed directly in clinical communication, especially when patients show anxiety, confusion or strong confidence in questionable sources.