December 4, 2025Health CommunicationOpen Access

Predicting Health Information Avoidance Intentions and Behaviors: Combining a Pre-Survey and In-Situ Measurement of Individuals Affected by Acute or Chronic Health Challenges

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Authors

ELElena Link

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Implication

This analysis shows an intention-behavior gap in health information avoidance, suggesting that avoidance behavior is influenced by different predictors than avoidance intention.

Key Points

Avoidance behavior is predicted by factors not directly tied to avoidance intention, leading to different dimensions of health information avoidance.
The model explained 36.1% of the variance in avoidance intention but only 6% in avoidance behavior.
Observational analysis of health information avoidance used a combination of pre-survey and in-situ measurements.
Results highlight the importance of distinguishing between the predictors of avoidance intention and behavior for clearer understanding.

Cite This Study

Elena Link (2025) studied this question.

synapsesocial.com/papers/6930dc78ea1aef094cca2396 https://doi.org/10.1080/10410236.2025.2590532

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Implication

This analysis shows an intention-behavior gap in health information avoidance, suggesting that avoidance behavior is influenced by different predictors than avoidance intention.

Predicting Health Information Avoidance Intentions and Behaviors: Combining a Pre-Survey and In-Situ Measurement of Individuals Affected by Acute or Chronic Health Challenges

Discussion

Member takes

Implication

Key Points

Cite This Study

Predicting Health Information Avoidance Intentions and Behaviors: Combining a Pre-Survey and In-Situ Measurement of Individuals Affected by Acute or Chronic Health Challenges

Discussion

Member takes

Implication

Key Points

Cite This Study

Also Consider

Also Consider