From plate to pillow, and vice versa: diet-sleep dynamics in free-living adults with obesity
Metadatos
Mostrar el registro completo del ítemAutor
Martín-Olmedo, Juan J.; Clavero-Jimeno, Antonio; Hidalgo Migueles, Jairo; Camacho Cardeñosa, Alba; Piernas Sánchez, Carmen María; Ruiz Ruiz, Jonatan; Jurado Fasoli, LucasEditorial
Springer
Materia
Sleep pattern Macronutrients Food groups ACCELEROMETRY
Fecha
2026-02-16Referencia bibliográfica
Martin-Olmedo, J.J., Clavero-Jimeno, A., Migueles, J. et al. From plate to pillow, and vice versa: diet-sleep dynamics in free-living adults with obesity. Eur J Nutr 65, 63 (2026). https://doi.org/10.1007/s00394-026-03894-z
Patrocinador
University of Granada Plan Propio de Investigación-Excellence actions: Unit of Excellence on Exercise Nutrition and Health (UCEENS); Spanish Ministry of Science, Innovation and Universities (FPU22/01631); Spanish Ministry of Universities (FPU21/01161); MCIN/AEI/https://doi.org/10.13039/501100011033 (RYC2024-050453-I); Spanish Ministry of Science and Innovation (FJC2020-043385-I); Junta de Andalucía, Consejería de Salud y Consumo (RHJ-0098-2024); MCIU/AEI/https://doi.org/10.13039/501100011033 and the European Regional Development Funds (ERDF) EU a way of making Europe) (Project ref. PID2022.141506OB.I00); MCIN/AEI/https://doi.org/10.13039/501100011033 and “ESF Investing in your future”, Ministry of Science and Innovation, Spain (RYC2020-028818-I)Resumen
Purpose: To investigate whether dinner dietary intake is associated with subsequent sleep parameters, and whether sleep
parameters are associated with subsequent breakfast dietary intake.
Methods: This study used baseline data from the TEMPUS randomized controlled trial. Eligible participants were adults
with obesity (30–40 kg/m2; 25–65 years). Sleep parameters were objectively assessed via accelerometry over 14 days. During this time, dietary intake at dinner and breakfast was assessed using one to two 24 h recalls. Dinner dietary intake was
matched with sleep registries of the corresponding night, and sleep parameters with the following breakfast dietary intake.
Spearman correlation analyses and linear mixed models were used to assess these relationships.
Results: A total of 146 participants (47% women) with valid data were included in the analysis (178 dinner-sleep, and 180
sleep-breakfast observations). Higher carbohydrate, sugars, blue fish, and olive oil intake at dinner were associated with
improved subsequent sleep parameters (all p ≤ 0.042). In contrast, greater energy, fat, cholesterol, protein, alcohol, red meat,
and french fries were associated with poorer subsequent sleep parameters (all p ≤ 0.048). Longer sleep duration was associated with enhanced dietary quality at subsequent breakfast (all p ≤ 0.034). Moreover, later sleep offset was independently
associated with higher energy intake, and greater wake after sleep onset was independently associated with higher carbohydrate intake at subsequent breakfast in multivariate analyses (all p ≤ 0.008).
Conclusion: These findings highlight the complex relationship between sleep and diet in free-living settings that may inform
future interventions for obesity management.





