Late-phase eating pattern, particularly delayed breakfast and dinner timing, was associated with increased likelihood of prevalent CVD among Chinese older adults.
Key Findings
Results
Breakfast timing later than 7:00 was associated with significantly higher odds of prevalent CVD compared to breakfast at or before 6:00.
Participants with breakfast after 7:00 had 75% higher odds of prevalent CVD (OR = 1.75, 95% CI: 1.02, 2.99)
The reference group was participants who had breakfast at ≤6:00
Analysis was conducted in 1305 eligible participants with a mean age of 69.6 (SD 6.9) years
54.6% of participants were female
Results
Dinner timing later than 18:00 was associated with substantially higher odds of prevalent CVD compared to dinner at or before 17:00.
Dinner after 18:00 was associated with OR = 2.61 (95% CI: 1.54, 4.43) for prevalent CVD
The reference group was participants who had dinner at ≤17:00
This was one of the stronger associations observed in the study
Meal timing was collected using standardized questionnaires administered face-to-face
Results
Three distinct temporal eating patterns were identified using latent profile analysis: typical, early-phase, and late-phase eating patterns.
The typical eating pattern was the most common, comprising 58.1% of participants
The late-phase eating pattern was present in 31.0% of participants
The early-phase eating pattern was present in 10.9% of participants
Latent profile analysis (LPA) was used to classify participants into these three groups based on meal and sleep-wake timing parameters
Results
The late-phase eating pattern was associated with significantly higher odds of prevalent CVD compared to the typical eating pattern.
The late-phase eating pattern was associated with 56% higher odds of prevalent CVD (95% CI: 1.08, 2.26)
The reference group was the typical eating pattern
This association reached statistical significance as the confidence interval excluded 1.00
Results
The early-phase eating pattern was associated with lower odds of prevalent CVD, but this association did not reach statistical significance.
The early-phase eating pattern was associated with 45% lower odds of prevalent CVD (95% CI: 0.28, 1.07)
The confidence interval crossed 1.00, indicating the result was not statistically significant
Only 10.9% of participants fell into the early-phase eating pattern, representing the smallest subgroup
Results
The overall prevalence of CVD in this community-dwelling older adult sample was 15.0%.
196 out of 1305 eligible participants had prevalent CVD
CVD was assessed by questionnaires and verified with medical records
Participants were community-dwelling adults aged ≥60 years from various socioeconomic regions of China
Data were collected between September 2021 and October 2025 via face-to-face interviews
Methods
Four temporal eating parameters were calculated to characterize meal timing relative to sleep-wake schedules.
The four parameters were: wake-up to breakfast interval, eating window, dinner to bedtime interval, and the interval from eating midpoint to awake midpoint
Wake-up time and bedtime were collected alongside meal timing data
Meal timing data (breakfast, lunch, and dinner timing) were collected using standardized questionnaires
These parameters were used as inputs for the latent profile analysis
What This Means
This research suggests that when older adults eat their meals — not just what they eat — may be linked to cardiovascular disease risk. In a study of over 1,300 Chinese adults aged 60 and older, those who ate breakfast after 7:00 AM were 75% more likely to have cardiovascular disease compared to those who ate before 6:00 AM, and those who ate dinner after 6:00 PM were more than twice as likely to have cardiovascular disease compared to those who ate dinner before 5:00 PM. These associations held even after accounting for other factors, suggesting meal timing itself may be relevant to heart health.
The researchers also identified three distinct eating timing 'patterns' using a statistical technique: a typical pattern (most common, about 58% of participants), an early-phase pattern (about 11%), and a late-phase pattern (about 31%). People who followed the late-phase eating pattern — characterized by later meal times overall — had 56% higher odds of having cardiovascular disease compared to those with the typical pattern. Those with the early-phase pattern appeared to have lower odds of cardiovascular disease, though that result was not statistically conclusive, possibly due to the small number of people in that group.
This research suggests that the timing of meals relative to sleep and wake schedules could be a modifiable behavior relevant to heart health in older populations. Because this was a cross-sectional study — meaning it captured a snapshot in time rather than following people over years — it cannot prove that late eating causes cardiovascular disease, only that the two are associated. Nevertheless, the findings point to meal timing as a potentially important and underexplored factor in understanding cardiovascular health in aging populations.
Wang L, Li J, Fang J, Chen S, Peng J, Ye H, et al.. (2026). Associations of Meal Timing and Temporal Eating Patterns with Cardiovascular Disease Among Chinese Older Adults.. Nutrients. https://doi.org/10.3390/nu18172778