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The purpose of this study is to examine the effect of various digital advice-givers (experts, eWOM, AI and companies) and their relationships to patients with overweight or obesity problems have on subsequent health behaviour. Application developers can benefit from these insights by understanding how to utilise various digital advice-givers in mobile applications to change health behaviour effectively. While the literature indicates that different advice-givers influence health behaviour, none of these studies indicates to what extent they have different relationships with health behavioural change and patient adherence. In addition, it remains unclear how prior knowledge structures influence the relationship between receiving advice and behavioural change. This study applies quantitative analysis (n= 335), these findings are supported with qualitative analysis (n= 5) from samples from the USA and with a BMI> 25. The main findings suggest that the relationship with the health belief model could not explain the difference between digital advice with or without advice-givers. Future research should focus on different emotional perceptions of the messages and the sources. Patients manipulated by AI do not use any prior knowledge structures to influence their health behavioural change. Indicating that participants do not perceive receiving health advice from AI as a persuasion attempt. Furthermore, this study proposes that utilising digital expert advice should address important health issues and minor advices could be given with eWOM or AI information. Besides, action perceived as difficult can increase the intention to follow up on the advice from AI …