Abstract
Foodborne disease presents a significant public health issue, costing the UK economy £9 billion annually, with many incidences being due to food-related behaviours in the home. Adults aged 60 and over account for around a quarter of the population in England and Wales and are at a greater risk of foodborne disease and may suffer a much higher burden. Research into risky food behaviours has previously focused on larger cohorts and typically treats the over 60's as one homogenous group. The current paper aims to identify the characteristics associated with risky food-related practices related to cooking, cleaning, chilling, cross-contamination, and use-by date adherence. The current research analysed data from the Official Statistics survey, Food and You 2: Wave 6 (2022–23). A series of binary logistic regression models examined the characteristics associated with risky food-related practices. We demonstrate that the characteristics associated with risky behaviours are not uniform, with different factors being associated with specific behaviours. We suggest that risky behaviours cannot be targeted efficiently with a one size fits all approach. This research provides an evidence base for policy makers to target risky food behaviours in this understudied vulnerable group.
Published Version
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