The timing and amount of energy intake (EI), alongside the timing and duration volume of 24-hour movement behaviours [physical activity (PA), sedentary behaviour (SB) and sleep], vary across the day and may interact to shape cardiometabolic health. However, most research has focused on the temporal patterning of individual behaviours (1-4); the joint temporal patterning of eating and movement behaviours has rarely been examined (5). This study aimed to identify joint temporal patterns of eating and 24-hour movement behaviours and examine their associations with adiposity and blood pressure in Australian adults. Cross-sectional data were analysed from 142 adults aged 18–65 years participating in the “EveryDayLife” survey (2017–2020). Participants completed a smartphone-based food diary and wore a SenseWear activity monitor armband for up to seven days. Diet quality was assessed using the dietary guideline index. Multivariate dynamic time warping-based clustering was applied to hourly time-series data comprising EI and the duration of PA, SB, and sleep in each hour of the day, averaged across all valid record days. Multivariable linear and logistic regression examined associations with adiposity (body mass index, waist circumference, body fat percentage, fat and fat-free mass indices, and visceral adipose tissue), blood pressure, and the prevalence of obesity, central obesity, and hypertension, adjusting for relevant covariates. Three clusters were identified. Clusters 1 (n = 26) and 2 (n = 105) showed comparable behavioural timing, with EI peaks at midday and early evening and sleep between 22:00 and 06:00 h but contrasting daily PA volumes (total PA 8.2 versus 5.1 h/day; sedentary time 7.8 versus 10.7 h/day, respectively). Cluster 3 (n = 11) was characterised by a shift of eating, activity, and sleep into the evening and overnight period, with a third of daily EI consumed between 20:00 and 00:00 h and sleep concentrated between 03:00 and 11:00 h, alongside the lowest PA (3.8 h/day) and highest sedentary time (12.3 h/day). Total EI and diet quality were comparable across clusters. Relative to Cluster 1, participants in Cluster 3 had higher waist circumference (β = 16.3%; 95% CI: 3.2, 31.1; p = 0.013), body fat percentage (β = 7.9%; 95% CI: 1.5, 14.2; p = 0.015), and fat mass index (β = 3.2 unit; 95% CI: 0.3, 6.0; p = 0.031), and greater odds of central obesity (OR = 10.2; 95% CI: 1.9, 54.0; p = 0.006) and excess body fat percentage (OR = 7.9; 95% CI: 1.5, 42.7; p = 0.017). Blood pressure was not significantly different across clusters (p > 0.05). In conclusion, a pattern combining later timing of EI and movement behaviours with low daily PA and high sedentary time was associated with greater adiposity. Examining these behaviours jointly may capture patterns not identifiable by individual behaviours alone.