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Objective: Research with non-cancer survivor populations finds affective variables to be important determinants of physical activity. This study assessed the ability of explicit and implicit affective variables to predict the physical activity of cancer survivors, above that accounted for by cognitive variables. The study also tested whether the affective variables were connected to physical activity directly or indirectly through their association with behavioural intentions. Design: In a cross-sectional design, cancer survivors ( n  = 122) completed questionnaires and an implicit affect task. Main outcome measures: Self-report measures assessed three affective variables (e.g. positive affective associations), five cognitive variables (e.g. cognitive beliefs), physical activity estimates, behavioural intentions and participants also completed an implicit affect task regarding physical activity. Results: Two of the three explicit affect variables and the implicit affect variable accounted for significant variability in physical activity estimates beyond that accounted for by the cognitive variables. Positive affective associations were the strongest predictor in multivariate analyses. Behavioural intentions did not mediate the link between the affect variables and physical activity estimates. Conclusions: Explicit and implicit affective variables are direct and unique predictors of physical activity in cancer survivors. Physical activity interventions for cancer survivors should target both explicit affect and implicit affect.

Objective: The feelings and emotions individuals associate with health-related behaviours influence engagement in those behaviours. However, the structure and the content of these affective associations have not been examined. The studies reported here examined competing hypotheses about the structure (unidimensional or bidimensional) and content (generalised affect or specific emotions) of affective associations with two health-related behaviours: physical activity and fruit/vegetable consumption., Design: For each behaviour, participants (fruit and vegetable consumption n = 149; physical activity n = 199) completed an assessment of the association of 40 positive and 51 negative affect concepts with the behaviour., Main Outcome Measures: Ratings of affective associations with each behaviour., Results: Confirmatory factor analyses comparing unidimensional and bidimensional affect structure models showed that the structure of individuals' affective associations was bidimensional for both behaviours - positive and negative affective associations were shown to be separate and distinct constructs. Exploratory factor analyses supported a model of affective associations as generalised affect for both behaviours., Conclusion: Affective associations with both physical activity and with fruit/vegetable consumption consist of separate positive and negative dimensions of generalised affect. These findings lead to recommendations for research and intervention development based on the implications for how affective associations might operate to influence behavioural decision-making.

Objective: Researchers have historically treated cognition and affect as separate constructs in motivating health behaviour. We present a framework and empirical evidence for complex relations between cognition and affect in predicting health behaviour. Main Outcome, Design and Results: First, affect and cognition can mediate each other's relation to health behaviour. Second, affect and cognition can moderate the other's impact. Third, context can change the interplay of affect and cognition. Fourth, affect and cognition may be indelibly fused in some psychological constructs (e.g. worry, anticipated regret and reactance). These four propositions in our framework are not mutually exclusive., Conclusion: Examination of the types of complex relations described here can benefit theory development, empirical testing of theories and intervention design. Doing so will advance the understanding of mechanisms involved in regulation of health behaviours and the effectiveness of interventions to change health behaviours.

Background: Uptake of colorectal cancer screening is lower than desired. Screening decision making research has traditionally focused on benefits and barriers to screening. This study examines the relation of affective associations with screening (feelings and emotions associated with screening) to colonoscopy screening uptake., Methods: Participants were 103 African American community adults. Participants completed a structured interview assessing perceived benefits of and barriers to colonoscopy screening, affective associations with colonoscopy, colonoscopy screening behavior, and intentions for future screening., Results: Higher positive and lower negative affective associations with screening were both significant predictors of colonoscopy uptake. Affective associations fully mediated the relation of perceived benefits and barriers to screening uptake. Affective associations were associated with intentions for future screening., Conclusions: Incorporation of affective associations into models of screening decision making and intervention approaches to address screening compliance has utility for advancing our understanding of screening adherence as well as increasing screening rates.

The central purpose of the current study was to examine whether eating disorder symptomatology moderates the extent to which implicitly and explicitly measured affective associations with fruits, or the feelings individuals associate with them, predict food choice. Participants (N = 107) completed both implicit and explicit measures of affective associations with fruits, a self-report of eating disorder symptomatology. In a subsequent snack selection task, they selected either a granola bar or fruit as a measure of their food choice behavior. Logistic regression analyses revealed that eating disorder symptomatology moderated the relation of implicit affective associations on behavior, OR = 0.27, p = .024, 95% CI (0.085, 0.84). A test of the simple effects indicated that implicit affective associations predicted snack choice at or below mean symptomatology levels [OR = 2.073, p = .02, 95% CI (1.12, 3.84)], but not at high levels [OR = 0.56, p = .28, 95% CI (0.18, 1.74)]. The effects of explicit measures on eating behavior were not moderated by eating disorder symptomatology (ps > .05). These findings advance our understanding of both the relation of implicit affective associations on behavior, as well as the ways in which eating disorder symptomatology may impact the decision-making process, thereby perpetuating disorder-related eating behavior. As such, they have implications for both health decision-making theory, as well as for the study and treatment of eating disorders., (Copyright © 2014 Elsevier Ltd. All rights reserved.)

Fewer than half of Americans meet current recommendations for fruit and vegetable intake. The behavioral affective associations model posits that feelings and emotions associated with a behavior are a proximal influence on decision making. Cross-sectional evidence supports the model and suggests that affective associations predict fruit and vegetable consumption. The purpose of this study was to test whether a causal relation exists between affective associations about fruits and future fruit consumption behavior, as measured by a snack selection task. Following a baseline assessment of cognitive and affective variables, participants' (N = 161) affective associations about fruits were experimentally manipulated with an implicit priming paradigm. Images of fruits were repeatedly paired with positive, negative, or neutral affective stimuli. The key outcome measure was a behavioral choice task in which participants chose between fruit and a granola bar. Participants in the positive prime condition were three times more likely than those in the negative condition to select a piece of fruit over the granola bar alternative in the snack selection task. They were also twice as likely as those in the neutral condition to select fruit. There were no changes in self-reported affective associations or cognitive beliefs. These findings provide further evidence of the implicit and direct influence of affective associations on behavior, suggesting the need to both incorporate the role of affect in health decision making models, as well as the potential utility of intervention strategies targeting affective associations with health-related behaviors.

Consumption of fruits and vegetables is far lower than recommended. The behavioral affective associations model posits that affective associations influence behavior and mediate the influence of perceived benefits and barriers on behavioral choices. The purpose of this study was to test the model's predictions about the influence of affective associations and benefits/barriers on fruit and vegetable consumption. Community adults (N=446) reported perceived benefits and barriers to fruit and vegetable consumption, affective associations with fruits and vegetables, and current fruit and vegetable intake. Affective associations predicted behavior and mediated the influence of benefits and barriers on behavior, supporting predictions made by the behavioral affective associations model. This highlights the need to incorporate affective factors in decision-making models and intervention strategies.

Most health decision-making models posit that deciding to engage in a health behavior involves forming a behavioral intention which then leads to actual behavior. However, behavioral intentions and actual behavior may not be functionally equivalent. Two studies examined whether decision-making factors predicting dietary behaviors were the same as or distinct from those predicting intentions. Actual dietary behavior was proximally predicted by affective associations with the behavior. By contrast, behavioral intentions were predicted by cognitive beliefs about behaviors, with no contribution of affective associations. This dissociation has implications for understanding individual regulation of health behaviors and for behavior change interventions. [ABSTRACT FROM PUBLISHER]