DEBATE: do interventions based on behavioral theory work in the real world?

Background: Behavioral scientists suggest that for behavior change interventions to work effectively, and deliver population-level health outcomes, they must be underpinned by behavioral theory. However, despite implementation of such interventions, population levels of both health outcomes and linked behaviors have remained relatively static. We debate the extent to which interventions based on behavioral theory work in the real world to address population health outcomes. Discussion: Hagger argues there is substantive evidence supporting the efficacy and effectiveness of interventions based on behavioral theory in promoting population-level health behavior change in the ‘real world’. However, large-scale effectiveness trials within existing networks are relatively scarce, and more are needed leveraging insights from implementation science. Importantly, sustained investment in effective behavioral interventions is needed, and behavioral scientists should engage in greater advocacy to persuade gatekeepers to invest in behavioral interventions. Weed argues there is no evidence to demonstrate behavioral theory interventions are genuinely effective in real world settings in populations that are offered them: they are merely efficacious for those that receive them. Despite behavioral volatility that is a normal part of maintaining steady-state population behavior levels creating the illusion of effectiveness, interventions fail in shifting the curve of population behaviors because they focus on individuals rather than populations. Hagger responds that behavioral interventions work in the ‘real world’ in spite of, not because of, flux in health behaviors, and that the contention that behavioral theory focuses solely on individual behavior change is inaccurate. Weed responds that the focus on extending the controls of efficacy trials into implementation is impractical, uneconomic and futile, and this has squandered opportunities to conduct genuine effectiveness trials in naturalistic settings. Summary: Hagger contends that interventions based on behavioral theory are effective in changing population-level behavior in ‘real world’ contexts, but more evidence on how best to implement them and how to engage policymakers and practitioners to provide sustained funding is needed. Weed argues for a paradigm shift, away from aggregative attempts to effect individual behavior change towards a focus on disrupting social practices, underpinned by understanding social and economic causation of the distribution and acceptance of behaviors in a population

Cognitive control and the non-conscious regulation of health behavior

A commentary on 'Cognitive control in the self-regulation of physical activity and sedentary behavior' by Buckley, J., Cohen, J. D., Kramer, A. F., McAuley, E., and Mullen, S. P. (2014). Front. Hum. Neurosci. 8:747. doi: 10.3389/fnhum.2014.0074

Transferring motivation from educational to extramural contexts: A review of the trans-contextual model

A key question for educators is whether teaching styles, methods, and practices not only foster motivation toward, and persistence with, learning activities in the classroom but also in contexts outside of school (Ciani et al. 2010). There is a wealth of evidence in the social psychological literature applied to educational contexts that has indicated that teaching styles and other motivational strategies adopted by social agents like teachers and educators lead to adaptive outcomes within the school context. For example, adopting democratic teaching styles (Tomasetto 2004), fostering mastery oriented motivational climates (Barkoukis et al. 2008), and providing autonomy support (Reeve 2002) are strategies that have been utilised by social agents in educational contexts to promote increased motivation among pupils and students. Overall, the support offered by teachers in the classroom has been shown to have direct effects on pupils’ emotional and motivational responses (e.g. Covington and Dray 2002). Furthermore, the adoption of autonomy-supportive strategies has been associated with numerous adaptive outcomes such as academic achievement (Deci et al. 1991), perceived competence (Harter 1985), deep learning of concepts (Lau et al.2008), and selection of tasks of optimal challenge (Murphy and Thomas 2008). There is also some evidence that such strategies also foster desirable outcomes beyond the classroom, such as engagement in extra-curricular activities (Tomasetto 2004) and studying behaviour (Kolic-Vehovec et al. 2008). This indicates that social agents’ behaviours in educational settings may motivate students to engage in behaviours and activities outside of school that are adaptive in terms of learning and skill development. Such influences likely fulfil a key goal of education to influence educational activities beyond the classroom.In addition, motivating students outside of the classroom will meet educational aims to promote increased transformative experiences (Pugh et al. 2010) and inquisitive behaviours (Yoon 2009) among pupils that assist in the development of flexible, critical, and analytic thinking skills that are generalizable and transferable. It must, however, be stressed that little is known of the processes by which teacher behaviours in educational contexts impact on students motivation and behaviour within the school and, most importantly, outside school. The aim of the present review is to provide an overview of a recently developed motivational model that outlines the processes by which perceptions of social agents’ behaviours that support motivation and learning affect motivation to engage in educational activities in both the classroom and extramural contexts. The model is based on the integration of leading social psychological and motivational theories and not only identifies the important factors and processes involved in trans-contextual motivation, but also provides an impetus for the development of interventions to promote motivation for learning activities in both educational and extramural contexts. After outlining the conceptual and theoretical bases of the model, we review a series of prospective and intervention studies from our laboratory that provides evidence to support its core trans-contextual premises. We also outline how the model serves as a novel basis for educational interventions to enhance motivation among pupils in educational and extramural contexts and the potential of the model to be applied to interventions in diverse educational contexts to promote general educational aims of fostering adaptive outcomes in students outside the classroom

On the estimation of genetic parameters via variance components

International audienc

Autonomous and controlled motivational regulations for multiple health related behaviors: between- and within-participants analyses

Self-determination theory has been applied to the prediction of a number of health-related behaviors with self-determined or autonomous forms of motivation generally more effective in predicting health behavior than non-self-determined or controlled forms. Research has been confined to examining the motivational predictors in single health behaviors rather than comparing effects across multiple behaviors. The present study addressed this gap in the literature by testing the relative contribution of autonomous and controlling motivation to the prediction of a large number of health-related behaviors, and examining individual differences in self-determined motivation as a moderator of the effects of autonomous and controlling motivation on health behavior. Participants were undergraduate students (N = 140) who completed measures of autonomous and controlled motivational regulations and behavioral intention for 20 health-related behaviors at an initial occasion with follow-up behavioral measures taken four weeks later. Path analysis was used to test a process model for each behavior in which motivational regulations predicted behavior mediated by intentions. Some minor idiosyncratic findings aside, between-participants analyses revealed significant effects for autonomous motivational regulations on intentions and behavior across the 20 behaviors. Effects for controlled motivation on intentions and behavior were relatively modest by comparison. Intentions mediated the effect of autonomous motivation on behavior. Within-participants analyses were used to segregate the sample into individuals who based their intentions on autonomous motivation (autonomy-oriented) and controlled motivation (control-oriented). Replicating the between-participants path analyses for the process model in the autonomy- and control-oriented samples did not alter the relative effects of the motivational orientations on intention and behavior. Results provide evidence for consistent effects of autonomous motivation on intentions and behavior across multiple health-related behaviors with little evidence of moderation by individual differences. Findings have implications for the generalizability of proposed effects in self-determination theory and intentions as a mediator of distal motivational factors on health-related behavior

Enhancing Query Processing on Stock Market Cloud-based Database

Cloud computing is rapidly expanding because it allows users to save the development and implementation time on their work. It also reduces the maintenance and operational costs of the used systems. Furthermore, it enables the elastic use of any resource rather than estimating workload, which may be inaccurate, as database systems can benefit from such a trend. In this paper, we propose an algorithm that allocates the materialized view over cloud-based replica sets to enhance the database system\u27s performance in stock market using a Peer-to-Peer architecture. The results show that the proposed model improves the query processing time and network transfer cost by distributing the materialized views over cloud-based replica sets. Also, it has a significant effect on decision-making and achieving economic returns

The trans-contextual model: Perceived learning and performance motivational climates as analogues of perceived autonomy support

The trans-contextual model of motivation (TCM) proposes that perceived autonomy support in physical education (PE) predicts autonomous motivation within this context, which, in turn, is related to autonomous motivation and physical activity in leisure-time. According to achievement goal theory perceptions of learning and performance, motivational climate in PE can also affect autonomous motivation in PE. The purpose of the present study was to examine the influence of an integrated approach of perceptions of motivational climate in PE by incorporating aspects of perceptions of motivational climate from achievement goal frameworks on autonomous motivation in PE within the TCM. High school students (N = 274) completed self-report measures of perceived autonomy support, perceived learning, and performance motivational climate and autonomous motivation in PE. Follow-up measures of autonomous motivation in a leisure-time context were taken along with measures of attitudes, subjective norms, perceived behavioural control and intentions from the theory of planned behaviour 1 week later. Self-reported physical activity behaviour was measured 5 weeks later. The results of the path analyses indicated that perceived learning climate was the strongest predictor of autonomous motivation in PE and leisure-time contexts and mediated the effect of perceived autonomy support on autonomous motivation in PE. Perceived performance climate showed no significant effect on autonomous motivation in PE and leisure-time. Results also confirmed the premises of TCM regarding the effect of autonomous motivation in leisure-time on leisure-time physical activity and the mediating role of the planned behaviour theory variables