Abstract
Background
Chrononutrition studies suggest that eating later and extending the eating window are linked to higher energy intake and obesity. However, the relationship between chrononutrition variables and dietary intake, as well as with BMI, is still little explored at a population level. This study explored how chrononutrition variables relate to dietary intake and BMI at a population level.
Methods
We analyzed data from the NHANES 2017–2018, including 2937 participants aged 18 years or older. Dietary intake was assessed by two 24-h dietary recalls. Caloric midpoint, eating window duration, sleep end-first meal and last meal-sleep onset intervals were determined by mealtime.
Results
The findings indicate a trend of increased total consumption of energy (kcal) (p < 0.001; p < 0.001; p < 0.001; p < 0.001), carbohydrates (g) (p = 0.001; p < 0.001; p < 0.001; p < 0.001); protein (g) (p < 0.001; p = 0.008; p < 0.001; p < 0.001), fat (g) (p < 0.001; p = 0.007; p < 0.001; p < 0.001), and sugar (g) (p < 0.001; p < 0.001; p < 0.001; p < 0.001) as the sleep end-first meal interval decreases and the last meal-sleep onset interval, eating window, and energy intake after 8 pm increases, respectively. In addition, our findings suggest a trend of increased BMI in the group with BMI ≥ 30 kg/m² (p = 0.018) as sleep end-first meal interval increases and in the group with BMI < 25 kg/m² (p = 0.006) as the eating window increases.
Conclusion
Our findings suggest that eating later and having longer eating window are associated with higher dietary intake and higher BMI.
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Data availability
Data from the study can be found on the publicly accessible NHANES website, and additional data are available from the corresponding author upon reasonable request.
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Funding
This work was supported by the CAPES/CNPq. CAC is CNPq fellow: #401761/2022-3. CMA receives support from CNPq grant: 313491/2021-6.
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CAC and GPT participated in the planning, interpretation of results and writing of the manuscript. GPT and NBC extracted the data. GPT performed the statistical analysis. AEMR, CMA, and NBC participated in the interpretation of results, support on the statistical analysis and writing of the manuscript. All authors provided feedback and approved the final version of the manuscript submitted for publication.
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NHANES is a public dataset and all participants provided a written informed consent, consistent with approval from the National Center for Health Statistics Research Ethics Review Board (NCHS ERB) (protocol #2018-01 for NHANES cycle 2017–2018).
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Teixeira, G.P., da Cunha, N.B., Azeredo, C.M. et al. Association of meal time patterns with dietary intake and body mass index: a chrononutrition approach from NHANES 2017-2018. Eur J Clin Nutr 79, 748–755 (2025). https://doi.org/10.1038/s41430-025-01603-3
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DOI: https://doi.org/10.1038/s41430-025-01603-3


