"Relational effects on physical activity: A dyadic approach to the theory of planned behavior": Correction to Howland et al. (2016).

UNLABELLED Reports an error in "Relational effects on physical activity: A dyadic approach to the theory of planned behavior" by Maryhope Howland, Allison K. Farrell, Jeffry A. Simpson, Alexander J. Rothman, Rachel J. Burns, Jennifer Fillo and Jhon Wlaschin (Health Psychology, 2016[Jul], Vol 35[7], 733-741). In the article, NIAAA Grant 5T32-AA07290 provided funding support for manuscript preparation but was omitted from the author note. (The following abstract of the original article appeared in record 2016-10019-001.) OBJECTIVE Despite growing appreciation of how close relationships affect health outcomes, there remains a need to explicate the influence romantic partners have on health behavior. In this paper, we demonstrate how an established model of behavior change—the theory of planned behavior (TPB)— can be extended from an individual level to a dyadic (couple) model to test the influence that relationship partners have on a key determinant of health behavior—behavioral intentions. METHODS Two hundred romantic couples (400 individuals) completed TPB measures regarding physical activity for themselves and their romantic partner as well as a measure of relationship quality. RESULTS Above and beyond the individual-level TPB predictors of behavioral intentions (i.e., attitudes, subjective norms, and perceived behavioral control), the romantic partner’s perceived behavioral control (PBC) regarding physical activity predicted each individual’s behavioral intentions and moderated the influence of each individual’s PBC on his or her own behavioral intentions. Additionally, the romantic partner’s perceptions of each individual’s TPB measures predicted each individual’s behavioral intentions to be physically active. Quality of the relationship also moderated some partner influences on individuals’ intentions. CONCLUSIONS This paper provides a roadmap for integrating a dyadic framework into individual-level models of behavior change. The findings suggest that data from both partners and relationship quality are important to consider when trying to understand and change health-related behavior such as physical activity. The results broaden the potential applications of the TPB as well as our understanding of how romantic partners might influence important health-related practices.