Health Psychology Review最新文献

Models and theories in behaviour change science are not in short supply, but they almost exclusively pertain to a particular facet of behaviour, such as automaticity or reasoned action, or to a single scale of observation such as individuals or communities. We present a highly generalisable conceptual model which is widely used in complex systems research from biology to physics, in an accessible form to behavioural scientists. The proposed model of attractor landscapes can be used to understand human behaviour change on different levels, from individuals to dyads, groups and societies. We use the model as a tool to present neglected ideas in contemporary behaviour change science, such as hysteresis and nonlinearity. The model of attractor landscapes can deepen understanding of well-known features of behaviour change (research), including short-livedness of intervention effects, problematicity of focusing on behavioural initiation while neglecting behavioural maintenance, continuum and stage models of behaviour change understood within a single accommodating framework, and the concept of resilience. We also demonstrate potential methods of analysis and outline avenues for future research.

Embracing the Bayesian approach, we aimed to synthesise evidence regarding barriers and enablers to physical activity in adults with heart failure (HF) to inform behaviour change intervention. This approach helps estimate and quantify the uncertainty in the evidence and facilitates the synthesis of qualitative and quantitative studies. Qualitative evidence was annotated using the Theoretical Domains Framework and represented as a prior distribution using an expert elicitation task. The maximum a posteriori probability (MAP) for the probability distribution for the log OR was used to estimate the relationship between physical activity and each determinant according to qualitative, quantitative, and qualitative and quantitative evidence combined. The probability distribution dispersion (SD) was used to evaluate uncertainty in the evidence. Three qualitative and 16 quantitative studies were included (N = 2739). High pro-b-type natriuretic peptide (MAP = -1.16; 95%CrI: [-1.21; -1.11]) and self-reported symptoms (MAP = - 0.48; 95%CrI: [ -0.40; -0.55]) were suggested as barriers to physical activity with low uncertainty (SD = 0.18 and 0.19, respectively). Modifiable barriers were symptom distress (MAP = -0.46; 95%CrI: [-0.68; -0.24], SD = 0.36), and negative attitude (MAP = -0.40; 95%CrI: [-0.49; -0.31], SD = 0.26). Modifiable enablers were social support (MAP = 0.56; 95%CrI: [0.48; 0.63], SD = 0.26), self-efficacy (MAP = 0.43; 95%CrI: [0.32; 0.54], SD = 0.37), positive physical activity attitude (MAP = 0.92; 95%CrI: [0.77; 1.06], SD = 0.36).

Disease from nicotine dependency continues to be a leading cause of preventable death worldwide, and therefore research that elucidates potential correlates of tobacco use may facilitate the advancement of research, clinical practice, and policy in this area to target this public health challenge. One potential tobacco use correlate is obsessive-compulsive disorder (OCD) phenomena. The growing research evidence on the association between tobacco use and OCD phenomena is mixed, making it difficult to synthesize extant findings into meaningful conclusions. Indeed, there has never been a systematic review or meta-analysis of this area of research. To this end, a systematic review was carried out with studies between 1988 and 2021, and from this review, 71 independent estimations (n = 10,475; Females = 51.95%; mean age = 37.29, SD = 13.78) were extracted for meta-analysis. We found that about three in ten participants with OCD are likely to use tobacco, which is higher than the general population. The prevalence was the same among OCD participants at all levels (those with symptomology but no confirmed diagnosis, those surpassing a clinical cutoff for OCD but no confirmed diagnosis, and those with a confirmed OCD diagnosis). The results also indicated considerable variability across study results and a wide confidence interval associated with the tobacco use prevalence rate among those with OCD phenomena. The findings provide support for continued study of this comorbidity, perhaps with longitudinal and experimental designs to test for reciprocal associations between tobacco use and OCD phenomena in the service of targeting nicotine dependence as a substantial global public health concern.

Behavioural theories, predictions, and interventions should be relevant to complex, real-world health behaviours and conditions. Habit theory and habit formation interventions show promise for predicting and promoting, respectively, longer-term behaviour change and maintenance than has been attained with theories and interventions focused only on deliberative behavioural factors. However, the concept of habit has largely been treated as uniform across different types of behaviours. In this conceptual review, we contend that the definitional aspects of habit differ at a conceptual level for simple versus more complex behaviours, with ramifications for prediction, promotion, and measurement of habits. Specifically, habits are defined as direct context-response associations learned through repeatedly rewarded responding - but what is meant by 'response' and 'reward' depends upon the complexity of the behaviour. We review literature that suggests (1) responses in complex habits have separable and substitutable components (vs a single and static, unitary component) and (2) rewards for complex habits are necessarily continued and intrinsic (vs temporary and extrinsic, respectively). We discuss some empirical and theoretical questions raised by these issues around behavioural complexity and habit. Lastly, we outline the ramifications of these issues for habit measurement (habit strength and habit formation) via self-report and objective measures.

Background: Psychological interventions for managing emotional distress in neurodegenerative diseases are needed, but progressive worsening of symptoms and increasing disability might pose difficulties with engagement. We aimed to synthesise the experiences of engaging with and using psychological interventions in neurodegenerative diseases and identify relevant barriers and facilitators. Methods: Systematic searches were conducted in six electronic databases and results were screened. We included qualitative and mixed methods studies reporting patient or caregivers' views or experiences of psychological interventions. Qualitative data were extracted and thematically synthesised. Results: 34 papers were included, covering a range of diseases and interventions. Engagement was facilitated by flexible intervention formats and tailoring to the specific needs of people with neurodegenerative diseases. Interventions were sometimes inaccessible or burdensome because of physical and cognitive symptoms, and the time and effort required for the intervention. Participants' levels of acceptance and readiness often differed and influenced engagement with the intervention. Across different interventions, participants experienced wide-ranging benefits including changes in insight, perspective, self-efficacy, emotions and relationships. Conclusion: Although people with neurodegenerative diseases and caregivers experience benefits from psychological interventions, burden-reducing adaptations and sensitive tailoring to the specific disease context is required to improve acceptability and engagement.

Medical diagnoses offer a structure by which psychological uncertainty can be attenuated, allowing patients to diminish psychological threats and focus on health prognosis. Yet when no diagnosis can be made, patients may experience diagnostic uncertainty - perceiving the medical field as unable to provide an accurate explanation of the cause of their health problems. This review examines the psychological threat that diagnostic uncertainty imposes on individuals' need for control and understanding, and the resulting consequences experienced by patients, parents of pediatric patients, and physicians. Using compensatory control theory as a framework, we propose a taxonomy of behaviors that people may adopt in order to regain control in the face of diagnostic uncertainty and to reaffirm that the world is not random and chaotic. To manage diagnostic uncertainty, people may bolster their personal agency, affiliate with external systems they see as acting in their interest, affirm clear connections between behaviors and outcomes, and affirm nonspecific epistemic structure. Diagnostic uncertainty is approached from the perspectives of patients, parents of pediatric patients, and physicians, demonstrating how each group responds in order to maintain a sense that the world has structure and is not random. Discussion centers on moderators, limitations, and implications for clinical practice.