Screen behaviours, particularly television viewing (TV), have been linked to suboptimal diets, including lower intake of fruit and vegetables, and higher intake of non-nutritious discretionary food and beverages (1, 2). However, the evidence for associations between screen behaviours and food consumption is mostly based on self-report questionnaires and cross-sectional studies in children and adolescents (2). Studies in adults that examine screen behaviours other than television viewing is lacking (3). The aim of this study was to examine the association between different screen behaviours and discretionary food and beverage consumption at eating occasions among adults. This secondary analysis draws on novel dietary and screen behaviour data from 670 adults aged 18-65 years who participated in the EveryDaylife Study (2017–2020). Dietary intake was measured in near real-time over seven days using the “FoodNow” smartphone food diary app. For every eating occasion, food and beverage intake was recorded along with activities done while eating. Discretionary food and beverage intake (kJ) at each eating occasion was estimated, as per the Australian Dietary Guidelines. Activities recorded as watching TV/cinema/movies, streaming content on a device, using a phone for texting/scrolling, using a computer for work, and playing computer games were categorised as screen behaviours. Activities recorded as watching TV/cinema/movies or streaming content on a device were categorised as passive forms of screen behaviours. A two-part mixed-effects model, adjusted for age, sex, education and household income, was used to examine associations between screen behaviours and discretionary food and beverage consumption, accounting for repeated eating occasions within participants. Among 16,147 eating occasions reported by participants, 6,056 (37.5%) involved screen behaviours and 8,991 (55.7%) contained discretionary food and beverages. Screen behaviours at eating occasions had higher odds of containing discretionary foods and beverages than those without screen behaviours (odds ratio [OR] = 1.07, 95% confidence interval [CI]: 1.00–1.15, p=0.05). Among eating occasions containing discretionary food and beverages, screen behaviours were not associated with the amount of energy intake from discretionary foods and beverages (β = 0.97, 95% CI: 0.92–1.02, p=0.25). In models examining passive screen behaviours at eating occasions, the odds of consuming discretionary foods and beverages were significantly higher than those with no passive screen behaviours (OR = 1.43, 95% CI: 1.31–1.57, p<0.001), and a positive association was observed for the amount of energy intake from discretionary food and beverages (β = 1.09, 95% CI: 1.03–1.15, p<0.01). Screen behaviours, particularly passive forms of screen behaviours, during eating occasions were associated with the likelihood of discretionary food and beverage consumption. Further studies are needed to confirm these findings and explore how the consumption of different food groups varies by engagement in active versus passive forms of screen behaviours.