Dispositional factors and health beliefs

to stable individual characteristics, such as personality traits or cognitive tendencies, that influence behaviour. In health psychology, these factors can affect how individuals perceive risk and engage in health-related behaviours. An example of this is optiism bias

a cognitive bias where individuals overestimate the likelihood of positive events and underestimate the probability of negative events, believing they are less at risk than others. It may influence whether individuals take preventative health actions

Idividuals’ perceptions and attitudes about health, illness, and risk. These beliefs play a crucial role in determining health-related behaviours, such as whether individuals engage in prevention or treatment.

The extent to which an individual feels that they are at risk of developing a health problem.

Weinstein (1983)

investigate the relationship between optimism bias and active partaking in health protective behaviours

88 undergraduates (32 female and 56 male
The participants were simply asked to fill in the questionnaire.
There were 3 conditions;
1) control where they were not told anything,
2) "own risk group" The participants were told before filling the questionnaire that „In some cases these risk factors are well-established; in other cases, its not clear and they are only possible risk factors." they were asked to assess the number of risk factors that pertained (relatable) to them before filling in the questionnaire.
3)"informational group" They were told that. Each of the questions about risk factors has a number which shows the response of a typical Rutgers Male or female based on data we gathered earlier this semester." They were then asked to complete the rest of the questionnaire.

The "own risk" group felt that they had least chance of developing the health problem and were the least worried of the three groups.

That merely rating oneself on risk factors substantially increased optimistic biases.

That when participants were given information about the risk status of their peers, the optimistic bias was significantly reduced.

This dispositional tendency may negatively affect health, as individuals who underestimate their risk are less likely to engage in preventative behaviours such as exercising or seeking medical advice. Therefore, unrealistic optimism can reduce health-protective behaviours, increasing vulnerability to illness.


This belief reduces perceived susceptibility, which is a key factor in health behaviour models. As a result, individuals may be less motivated to adopt preventative behaviours, such as healthy eating or regular exercise, increasing their risk of illness.

T: Weinstein’s study is highly testable because it operationalises unrealistic optimism by asking participants to estimate their likelihood of experiencing specific life events compared to others. This allows the concept of optimism bias to be measured and compared systematically. However, the construct being tested is subjective, as “perceived risk” is internal and may vary depending on interpretation of questions, reducing precision in measurement.

E: The study provides strong empirical support for unrealistic optimism bias, as participants consistently rated themselves as less likely than others to experience negative health events. However, the evidence is largely based on self-report data rather than observed behaviour, meaning it reflects perceived risk rather than actual health-related actions. As a result, this reduces ecological validity and limits the extent to which the findings can predict real-world health behaviour, lowering the study’s predictive validity. In addition, self-report methods may be influenced by cognitive biases, meaning responses may not accurately represent how individuals behave when faced with real health decisions

A: A major strength is its application to health promotion. Understanding optimism bias helps explain why individuals fail to engage in preventative health behaviours such as screening or lifestyle changes. However, its application is somewhat limited because reducing optimism bias in theory does not always translate into actual behavioural change in real-world health settings.

Dispositional tendencies can also influence how individuals respond to health risks and interventions./Health beliefs also influence whether individuals act on health information.

Proposed by Ajzen (1985), it outlines three factors that predict behavioural intentions which are linked to behaviour:

Attitude towards behaviour: It can be positive or negative

Subjective Norms: A behaviour will be executed depending on what one's significant others' (friends, family, etc) attitude towards the behaviour is.

Self-efficacy: The level to which someone believes he is able to execute the behaviour and persevere.

to test the theory of planned behaviour (TPB) with exercise habits

Participants: 41

Procedure: Reserachers studied the amount of walking partipents did on a daily basis. Participants were given a New Lifestyles NL-2000 pedometer for one week. After the week, participants were asked to complete a questionnaire that measured the dimensions of the TPB.

Participants’ self-reported recall of walking was inaccurate
TPB predicted intentions well
TPB did not predict actual pedometer-recorded walking

the Theory of Planned Behaviour is effective in predicting exercise intentions, as attitudes, subjective norms, and perceived behavioural control were strongly related to participants’ reported intentions to walk. However, the theory was less successful in predicting actual exercise behaviour, as measured by pedometer data, suggesting a gap between intention and behaviour.

A key strength is strong real-world application, particularly in public health interventions that aim to change beliefs in order to improve behaviours such as exercise, diet, or screening. However, changing beliefs does not always lead to behaviour change, as habits, environment, and social factors may override cognitive intentions.

The use of pedometers reduces bias in measuring exercise behaviour, as it provides objective behavioural data rather than relying on self-report or memory. However, the self-report questionnaires used to measure TPB constructs are vulnerable to social desirability bias, where participants may overstate positive attitudes and intentions toward exercise in order to present themselves in a healthier light. This reduces the validity of the psychological measures and may mean that the questionnaire did not accurately capture participants’ true beliefs or intentions. As a result, this may help explain the discrepancy between reported intentions and actual walking behaviour, highlighting a gap between behaviour and intention.

The study has partial predictive validity because TPB successfully predicts exercise intentions, showing that cognitive attitudes are related to planned behaviour. However, predictive validity is weak when it comes to actual behaviour, as intentions did not reliably translate into real walking behaviour measured by the pedometer. This highlights a gap between cognition and action, limiting TPB’s ability to predict real-world health behaviour.

A strength of research into dispositional factors is that it helps explain individual differences in health behaviour, highlighting why some people engage in healthy behaviours while others do not. This has practical applications for designing targeted health interventions. However, a limitation is that many studies rely on self-report measures, which may be influenced by social desirability bias. Additionally, focusing on dispositional factors may overlook situational influences such as socioeconomic status or access to healthcare.

A strength of research on health beliefs is that it has strong real-world applications, particularly in public health campaigns that aim to change beliefs to promote healthier behaviours. However, a limitation is that beliefs alone do not always predict behaviour, as other factors such as habits, social influences, and environmental constraints also play a role. Additionally, reliance on self-reported data may reduce the validity of findings.

In conclusion, dispositional factors such as unrealistic optimism play an important role in influencing health by shaping how individuals perceive risk and engage in health behaviours. Research such as Weinstein (1983) and Scott et al. (2007) demonstrates that these internal tendencies can significantly affect health outcomes, although they must be considered alongside broader environmental factors.

Overall, health beliefs play a significant role in influencing health by shaping how individuals perceive risk and respond to health information. Research such as Weinstein (1983) and Scott et al. (2007) demonstrates that beliefs can directly affect behaviour, although they interact with other factors in determining health outcomes.