Perceptual integration of a prosthesis into an amputee’s body representation, that is, prosthesis embodiment, has been proposed to be a major goal of prosthetic treatment, potentially contributing to the user’s satisfaction with the device. However, insufficient knowledge about individual or prosthetic factors predicting prosthesis embodiment challenges basic as well as rehabilitation research. In the present study, hierarchical multiple regression analyses on prosthesis embodiment – as assessed with the recently introduced Prosthesis Embodiment Scale – were applied to the survey data of 161 prosthesis-using lower limb amputees, entering relevant impartial (i.e., objective characteristics of the amputation or the prosthesis) and subjective-evaluative variables (i.e., the amputee’s perceptions related to the amputation or the prosthesis) as first- or second-level regressors, respectively. Significant regressors identified in these analyses together explained R2 = 36.5% of prosthesis embodiment variance in the present sample, with a lower level of amputation, less severe residual limb pain, more realistic visual appearance of the device, higher prosthetic mobility, and the absence of prosthesis-induced adverse stimulations of the residual limb representing significantly associated factors. Using the identical set of regressors hierarchically complemented by prosthesis embodiment on measures of prosthetic satisfaction – as assessed with the Trinity Amputation and Prosthesis Experience Scales – revealed that prosthesis embodiment significantly and positively predicted aesthetic as well as functional prosthesis satisfaction. These findings emphasize the importance of psychological factors for the integration of a prosthesis into the amputee’s body representation, which itself represents a crucial factor associated with prosthesis satisfaction. These results might have important implications for future prosthetic treatment. However, replication of the findings in an independent sample is required, as well as sophisticated experimental designs in order to elucidate the causality of effects.