Individuals with chronic pain demonstrate attentional biases (ABs) towards pain-related stimuli. However, the clinical importance of these biases is yet to be determined and a sound theoretical model for explaining the role of ABs in the development and maintenance of pain is lacking. Within this article, we (1) systematically review prospective and experimental research exploring ABs and pain outcomes in light of current theoretical models and (2) propose a theoretical framework for understanding AB in pain. Across prospective research, an attentional pattern of vigilance-avoidance was observed. Interventions targeting ABs were less consistent; however, there were promising findings among studies that found attentional training effects, particularly for laboratory research. The proposed Threat Interpretation Model suggests a relationship between threat, interpretation, and stimuli in determining attentional processes, which while tentative generates important testable predictions regarding the role of attention in pain and builds on previous theoretical and empirical work in this area.
Studies investigating attentional biases towards pain information vary widely in both design and results. The aim of this meta-analysis was to determine the degree to which attentional biases towards pain occur when measured with the dot-probe task. A total of 2168 references were screened, resulting in a final sample of 4466 participants from 52 articles. Participants were grouped according to pain experience: chronic pain, acute pain, anticipating experimental/procedural pain, social concern for pain, or healthy people. In general, results revealed a significant, but small bias towards pain words (d = 0.136), and pain pictures (d = 0.110) in chronic pain patients, but not in those with acute pain, those anticipating pain, or healthy people. Follow-up analyses revealed an attentional bias towards sensory pain words in the chronic pain group (d = 0.198), and the acute pain group (d = 0.303), but not other groups. In contrast, attentional biases towards affective pain stimuli were not significant for any pain groups. This meta-analysis found support for attentional biases towards sensory pain stimuli in patients with chronic pain in comparison to healthy individuals across a range of common parameters. Future researchers need to consider task design when seeking to optimally measure pain-relevant attentional biases.
The prototype willingness model (PWM) was designed to extend expectancy-value models of health behaviour by also including a heuristic, or social reactive pathway, to better explain health-risk behaviours in adolescents and young adults. The pathway includes prototype; i.e., images of a typical person who engages in a behaviour; and willingness to engage in behaviour.The current study describes a meta-analysis of predictive research using the PWM, and explores the role of the heuristic pathway and intentions in predicting behaviour. Eighty-one studies met inclusion criteria. Overall, the PWM was supported and explained 20.5% of the variance in behaviour. Willingness explained 4.9% of the variance in behaviour over and above intention, although intention tended to be more strongly related to behaviour than was willingness. The strength of the PWM relationships tended to vary according to the behaviour being tested, with alcohol consumption being the behaviour best explained. Age was also an important moderator, and, as expected, PWM behaviour was best accounted for within adolescent samples. Results were heterogeneous even after moderators were taken into consideration. This meta-analysis provides support for the PWM and may be used to inform future interventions that can be tailored for at-risk populations.Key Words: prototype willingness model; meta-analysis; health behaviour; health models REASONED VERSUS REACTIVE PREDICTION 3Reasoned versus reactive prediction of behaviour: A meta-analysis of the prototype willingness model RationaleMany illnesses and diseases are at least partly attributable to the performance or nonperformance of health-risk or health-enhancing behaviours (World Health Organization: WHO, 2009). Investigating reasons for engaging or not engaging in these behaviours is a major area of interest for health psychologists, and many theoretical models have been proposed to explain such behaviours. Models often concentrate on social-cognitive aspects of behaviour, as these aspects tend to be malleable (Conner & Norman, 1996), and indeed such expectancy-value models dominate the literature (Gerrard, Gibbons, Houlihan, Stock, & Pomery, 2008). These models assume that health-related behaviour is planned, by a process of weighing up the costs and benefits of behavioural outcomes.Expectancy-value models such as the Theory of Planned Behaviour (TPB), and its precursor the Theory of Reasoned Action (TRA) place intention as the most proximal determinant of volitional behaviour (Ajzen, 1991). The TPB and TRA have been used to predict a range of behaviours; however, these models tend to predict intention better than behaviour (Armitage & Conner, 2001), and the relatively weak relationship between intention and behaviour indicates that individuals do not always act as they intend (Sheeran, 2002).A number of dual-process models have also received attention in the literature; for example, Fuzzy Trace Theory (Rivers, Reyna, & Mills, 2008), Cognitive Experiential Self Theory (Epstein, 1985), and within ...
The aim of this meta-analysis was to explore whether the constructs in the theory of planned behaviour (TPB; i.e., attitude, subjective norm, perceived behavioural control, intention) explain condom use behaviour among men who have sex with men (MSM). Electronic databases were searched for studies that measured TPB variables and MSM condom use. Correlations were meta-analysed using a random effects model and path analyses. Moderation analyses were conducted for the time frame of the behavioural measure used (retrospective versus prospective). Attitude, subjective norm and perceived behavioural control accounted for 24.0 % of the variance in condom use intention and were all significant correlates. Intention and PBC accounted for 12.4 % of the variance in condom use behaviour. However, after taking intention into account, PBC was no longer significantly associated with condom use. The strength of construct relationships did not differ between retrospective and prospective behavioural assessments. The medium to large effect sizes of the relationships between the constructs in the TPB, which are consistent with previous meta-analyses with different behaviours or target groups, suggest that the TPB is also a useful model for explaining condom use behaviour among MSM. However, the research in this area is rather small, and greater clarity over moderating factors can only be achieved when the literature expands.
While rates of obesity continue to increase, weight-loss interventions to date have not been hugely successful. The purpose of this study was to explore the specific factors that are relevant to weight control in overweight and obese young adults compared to older adults, within the context of the theory of planned behaviour (TPB). A qualitative methodology with purposive sampling was used. Semi-structured interviews were conducted with 23 young adults and older adults who were currently overweight or obese. The research was informed by thematic analysis. A mixed deductive-inductive approach that was structured around but not limited to TPB constructs was applied. Themes mapped onto the TPB behaviour well, with additional themes of motivation, and knowledge and experience emerging. Differences across groups included motivators to weight loss (e.g. appearance and confidence for young adults, health for older adults), importance of social influences, and perceptions of control (e.g. availability and cost for young adults, age and energy for older adults). Similarities across groups included attitudes towards being overweight and losing weight, and the value of preparation and establishment of a healthy routine. Finally, across both groups, knowledge and confidence in ability to lose weight appeared adequate, despite failed attempts to do so. The different experiences identified for younger and older adults can be used to inform future tailored weight-loss interventions that are relevant to these age groups, and the TPB could provide a useful framework. Additional intervention strategies, such as improving behavioural routine and improving self-regulation also warrant further investigation.
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