Predicting physical activity behavior among university students using the multi-process action control framework

Abstract

Most university students do not engage in enough physical activity (PA) despite the known physical and mental health benefits. Action control theories such as the Multi-Process Action Control (M-PAC) framework have been proposed to better understand the translation of intentions into action by incorporating post-intentional processes. However, the explanatory power of the M-PAC framework beyond traditional social cognitive constructs has received limited attention. This study examined the predictive utility of the M-PAC framework for explaining variance in self-reported and device-measured PA behavior among university students. A total of 2418 undergraduate students (Mean age = 19.1 ± 1.73 [SD] years) completed an online survey that included a self-reported measure of moderate-to-vigorous PA (MVPA) as well as constructs outlined in the M-PAC framework: instrumental and affective attitudes, perceived capability and opportunity, behavioral regulation, habit and identity. A subsample (n = 376) also wore an ActiGraph wGT3x-BT accelerometer on their non-dominant wrist for seven full days to assess MVPA. Robust linear regression models were computed to investigate associations between M-PAC framework constructs and PA behavior. Findings showed the M-PAC framework explained as high as 14.3 % and 37.9 % of the variance in device-measured and self-reported MVPA, respectively. Regulatory (behavioral regulation), and reflexive (habit and identity) processes were significant predictors of self-reported MVPA when examining the full M-PAC framework, whereas the role identity dimension of PA identity was the only significant predictor of device-assessed MVPA. Taken together, these results reinforce the importance of post-intentional processes, specifically role identity, in understanding PA behavior among university students.