Currently, wearable technologies are becoming more pervasive and they have several benefits fin- living in a healthy manner. In this context, the critical success factors for wearables are important. However, the existing understanding in this field needs enhancements. In our previous relevant work on the subject of success factors for wearable medical devices, we already distilled the salient factors and meaningful relationships among these factors. On the other hand, to draw additional conclusions, we recently applied partial least squares multi-group analyses with Smart PLS 3 in order to determine how degrees of relations among factors diverge concerning different groups. Explicitly, in this context, gender, body mass index category, education status, generation's category, wearable use status, activity status, and income levels of the participants were treated as different groups to detect and understand significant differences. Accordingly, we identified that there are nine prominent differences regarding degrees of relations among success factors for wearable medical devices. Our findings and interpretations particularly add to the pertinent body of knowledge about how certain relations among factors differ regarding different groups, and these outcomes are going to be valuable for relevant scholars and product developers.