Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

BACKGROUND: The Health Attitude Inventory (HAI) is developed to assess attitudes, beliefs and values towards coronary-related behaviour in epidemiological studies. It comprises a 76-item self-administered questionnaire which can be completed in under 10 minutes by most adults. METHODS: The HAI was administered to 2100 men aged 50-64 years along with measures of ischaemic heart disease risk factors, including the following coronary-related behaviours: smoking, exercise, type A behaviour and the consumption of fried food, dairy produce, wholemeal bread and vegetables. RESULTS: Cross-sectional analyses using linear regression showed attitudes, beliefs and values to explain between 8% and 27% of the variance in the dietary coronary-related behaviour. For exercise 13% of the variance was explained, and for type A behaviour 18%. Similar analysis for smoking using logistic regression (non-smoker versus current smoker) showed a predictive concordance of 95%. CONCLUSIONS: The HAI has demonstrated the assessment of attitudes, beliefs and values in an epidemiological setting to show associations with a range of coronary risk behaviours. This finding has potential public health as well as aetiological application in that influential attitudes, values and beliefs can be identified to aid increasing healthy as well as reducing risky coronary-related behaviour.

Type

Journal article

Journal

Int J Epidemiol

Publication Date

04/1995

Volume

24

Pages

321 - 330

Keywords

Attitude to Health, Diet, Exercise, Health Behavior, Humans, Likelihood Functions, Logistic Models, Male, Middle Aged, Myocardial Ischemia, Psychometrics, Stress, Physiological, Surveys and Questionnaires, Wales