How valid are measures of beliefs about the causes of illness? The example of myocardial infarction

Adjustment Mechanisms in the Acute Phase of Myocardial Infarction in Men

AIM

Stress and Coping Model and Post-Traumatic Growth Theory indicate adjustment procedures concepts after a crisis. The objective of this study was to assess the relationships between causal attributions, coping strategies and post-traumatic growth in male patients with acute myocardial infarction and variable cardiac function severity.

METHODS

Seventy-eight male patients surviving a myocardial infarction, were divided into two sub-groups based on left ventricular ejection fraction measurements [Group A (left ventricular ejection fraction: <45%, n = 34), Group B (left ventricular ejection fraction: ≥45%, n = 44)] and were interviewed after the acute phase of myocardial infarction, on the last day of their coronary unit stay. Medical data was obtained from their medical records. Causal Attributions' List, Coping Orientation to Problems Experienced and Post-Traumatic Growth Inventory were used.

RESULTS

Causal attributions were found to be related to active coping, emotional support, religious coping and self-blame in both groups. Planning, positive reinterpretation and active coping were the strategies associated positively with most of the post-traumatic inventory subscales in total data analyses.

CONCLUSIONS

Diverse coping strategies were associated with posttraumatic growth factors. It is important to assess adjustment mechanisms in the acute phase of myocardial infarction. A tailored scheme therapy, considering patient's needs, has to be planned.

A network analysis of the causal attributions for obesity in children and adolescents and their parents

Illness attributions inform how people understand illness and relate to psychological outcomes. Parental attributions may impact children's adjustment to illness. This study investigated child, adolescent and parental causal attributions in paediatric obesity and illustrates the relationships between these attributions using network analysis. A cross-sectional design using the diagram network analytic method. Thirty children and 25 parents generated individual causal attribution maps. Network theory was used to analyse causal effects and results were visualised using network models. The results indicated large individual variation in the networks. Activity and eating-related variables featured strongly in child and parent networks. Children viewed their activity while parents regarded their child's eating behaviours as the main drivers of obesity. The characterisation of some children along an internalising dimension was supported in both networks. Habitual cluster behaviours and difficulties in regulation were identified in the child network. Parents ascribed significance to the future impact of obesity on body image and mood. Challenges in parent management were also indicated. Obesity is a heterogeneous condition, requiring a tailored treatment approach. Therapeutic directions were identified in the areas of activity, food intake, sleep hygiene and parent management. Attributional processes represent a potential mechanism to tailor obesity treatment. Further research is needed to establish the relationship between attributions, treatment engagement and outcome.

Discerning the impact of personal and situational variables in risk perception of coronary heart disease

Research into how people perceive risk has highlighted the interaction between the available information and personal variables and their impact on judgement. This study sought to identify demographic and health variables that influenced risk and the influence of individual risk assessment, dispositional optimism and negative affect on judgement. A total of 476 participants were asked to make risks judgements of 24 vignettes depicting hypothetical risk scenarios. The findings showed that while people are able to correctly recognise, in others, relevant risk factors for coronary heart disease, risk perception is likely to imply a personal consideration of the same risk factors in themselves.

Direct and indirect assessment of explanatory models of illness

Patients' self-reports of explanatory models (EMs) are sensitive to distortions, particularly as a result of social desirability, uncertainty towards one's own beliefs, and ethnic disparities with the interviewer. In contrast, reaction-time-based indirect measures are thought to be less sensitive to such factors. This article reports on two studies that applied direct (interview) and indirect (reaction-time-based association task) measures of EMs. Study 1 found evidence for the convergent validity of the direct and indirect measures, indicating that the two measures were essentially related. Furthermore, social desirability and uncertainty towards one's beliefs affected the association between the measures on two categories of EMs. Study 2 showed that, unlike the self-reports of EMs, indirect measures were less sensitive to the ethnicity of the interviewer. The nature of the indirect measure, and the construct that it measures, are discussed.

`I'm Cured But….'

The current qualitative research studied representations of illness posttreatment from a heart transplant group, a panic disorder group, and a tic disorder group. All three groups were preoccupied with perceptions about the impact of the illness, perception of self and the perception of how others view the ill person. The heart transplant group seem to adopt an active style of coping compared to the panic disorder group who presented a more passive, anticipatory mode of coping, and the tic group who were preoccupied with control over the perceptions of others. This qualitative information could help optimize adaptation strategies.