Does a person's body size and the application type influence healthcare students' perceptions of technologies to promote physical activity? Findings from a cross-sectional study.

Background: Recent evidence suggests that weight bias may be pervasive, even among health professionals specialized in obesity, including healthcare students. Technology-based physical activity interventions are promising for people with obesity, specifically when they are theory-driven (e.g., autonomy-supportive as described by self-determination theory). However, perceptions of these technologies have been understudied among healthcare students and professionals.

Objective: The purpose of this study was to examine the influence of a person's body size based on body mass index and technology type on healthcare students' perceptions.

Design: This is a cross-sectional, experimental study.

Participants And Methods: Five hundred and two healthcare students (360 females, 142 males; mean age = 23.3, SD = 5.0) were randomly exposed to one of four scenarios that manipulated a hypothetical person's body mass index (22 kg/m vs. 42 kg/m) and a technology-based physical activity type based on self-determination theory (autonomy-supportive app vs. controlling app). They then completed measures of their perceptions of the person's app acceptability and self-efficacy and of their intention to recommend the app. Multivariate and univariate analyses of covariance were performed.

Results: Students exposed to the larger-bodied people (42 kg/m) versus the smaller-bodied people (22 kg/m) perceived a lower level of person's app acceptability (i.e., higher social influence and less enjoyment in using the app), as well as a lower level of self-efficacy to use the technology. Students exposed to the controlling app were more likely to recommend it compared to those exposed to the autonomy-supportive app.

Conclusions: These results suggest that healthcare students' attitudes may be negatively influenced by explicit weight bias. Also, in contrast to self-determination theory precepts, a controlling app may be more frequently recommended. Further study of healthcare students' implicit attitudes toward technology is needed.