Title:
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Development and testing of a social cognitive model of adult eating behaviour
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Current levels of obesity have been described as a 'health time bomb', with over half the population in Northern
Ireland reported to have a significant weight problem. World'ide levels are also at epidemic proportions, with
the World Health Organisation estimating that more than 300 million people are obese worldwidc mainly as a
result of behaviour including poor dict. TIIC widcr health risks of obesity are well documented as it is a
significant risk factor for high blood pressure, heart disease, stroke, cancer and diabetes, and has been linked to
a 9-year reduction in life expectancy. In order to reduce these health risks adult eating behaviour must be
modified. Current models used in thc field - predominantly the TIleory of Planned Behaviour - only account for
approximately one third of thc variancc in cx-plaining this behaviour, and tllcse figurcs could be improved upon
if existing knowledge was integrated in a systematic manner. Stage 1 of this research involved conducting a
systematic review to answer tile question: 'What are the cognitive factors influencing adult eating behaviourT
TIle review aimed to identifY all available evidence to reach an unbiased conclusion about tile cognitive
variables which are important correlates of eating behaviour. At Stage 2 the results from tile review were used
to inform a pilot survey examining healthy eating behaviour via a food frequency questionnaire (FFQ) along
with tile key psychological factors identified. Path analysis resulted in tile development and construction of a
new social-eognitive model of adult eating behaviour, and additionally of healthy eating intention. TIle key
findings showed that self-cfficacy most strongly predicted healtlly eating behaviour, along with the acceptance
of a diet-health relationship, perceived health benefits from a healthy diet and knowledge. Incorporating tllese
findings in future tlleoretical intcn'cntions targcting healthy eating ,will consequently lead to an increase in
successfully predicting and modifying adult eating behaviour.
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