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Clinical Studies and Practice

Meal timing affects glucose tolerance, substrate oxidation and circadian-related variables: A randomized, crossover trial



Timing of food intake associates with body weight regulation, insulin sensitivity and glucose tolerance. However, the mechanism is unknown. The aim of this study was to investigate the effects of changes in meal timing on energy-expenditure, glucose-tolerance and circadian-related variables.


Thirty-two women (aged 24±4 years and body mass index 22.9±2.6 kg m−2) completed two randomized, crossover protocols: one protocol (P1) including assessment of resting-energy expenditure (indirect-calorimetry) and glucose tolerance (mixed-meal test) (n=10), the other (P2) including circadian-related measurements based on profiles in salivary cortisol and wrist temperature (Twrist) (n=22). In each protocol, participants were provided with standardized meals (breakfast, lunch and dinner) during the two meal intervention weeks and were studied under two lunch-eating conditions: Early Eating (EE; lunch at 13:00) and Late Eating (LE; lunch 16:30).


LE, as compared with EE, resulted in decreased pre-meal resting-energy expenditure (P=0.048), a lower pre-meal protein-corrected respiratory quotient (CRQ) and a changed post-meal profile of CRQ (P=0.019). These changes reflected a significantly lower pre-meal utilization of carbohydrates in LE versus EE (P=0.006). LE also increased glucose area under curve above baseline by 46%, demonstrating decreased glucose tolerance (P=0.002). Changes in the daily profile of cortisol and Twrist were also found with LE blunting the cortisol profile, with lower morning and afternoon values, and suppressing the postprandial Twrist peak (P<0.05).


Eating late is associated with decreased resting-energy expenditure, decreased fasting carbohydrate oxidation, decreased glucose tolerance, blunted daily profile in free cortisol concentrations and decreased thermal effect of food on Twrist. These results may be implicated in the differential effects of meal timing on metabolic health.

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  1. Arble DM, Bass J, Laposky AD, Vitaterna MH, Turek FW . Circadian timing of food intake contributes to weight gain. Obesity (Silver Spring) 2009; 17: 2100–2102.

    Article  Google Scholar 

  2. Scheer FAJL, Hilton MF, Mantzoros CS, Shea SA . Adverse metabolic and cardiovascular consequences of circadian misalignment. Proc Natl Acad Sci 2009; 106: 4453–4458.

    CAS  Article  Google Scholar 

  3. Fonken LK, Workman JL, Walton JC, Weil ZM, Morris JS, Haim A et al. Light at night increases body mass by shifting the time of food intake. Proc Natl Acad Sci USA 2010; 107: 18664–18669.

    CAS  Article  Google Scholar 

  4. Salgado-Delgado R, Angeles-Castellanos M, Saderi N, Buijs RM, Escobar C . Food intake during the normal activity phase prevents obesity and circadian desynchrony in a rat model of night work. Endocrinology 2010; 151: 1019–1029.

    CAS  Article  Google Scholar 

  5. Garaulet M, Gomez-Abellan P, Alburquerque-Bejar JJ, Lee YC, Ordovas JM, Scheer FA . Timing of food intake predicts weight loss effectiveness. Int J Obes (Lond) 2013; 37: 604–611.

    CAS  Article  Google Scholar 

  6. Stokkan KA, Yamazaki S, Tei H, Sakaki Y, Menaker M . Entrainment of the circadian clock in the liver by feeding. Science (New York, NY) 2001; 291: 490–493.

    CAS  Article  Google Scholar 

  7. Patton DF, Mistlberger RE . Circadian adaptations to meal timing: neuroendocrine mechanisms. Front Neurosci 2013; 7: 185.

    Article  Google Scholar 

  8. Corbalan-Tutau MD, Madrid JA, Ordovas JM, Smith CE, Nicolas F, Garaulet M . Differences in daily rhythms of wrist temperature between obese and normal-weight women: associations with metabolic syndrome features. Chronobiol Int 2011; 28: 425–433.

    CAS  Article  Google Scholar 

  9. Bandin C, Martinez-Nicolas A, Ordovas JM, Madrid JA, Garaulet M . Circadian rhythmicity as a predictor of weight-loss effectiveness. Int J Obes (Lond) 2013; 38: 1083–1088.

    Article  Google Scholar 

  10. Jakubowicz D, Barnea M, Wainstein J, Froy O . High caloric intake at breakfast vs dinner differentially influences weight loss of overweight and obese women. Obesity (Silver Spring) 2013; 21: 2504–2512.

    CAS  Article  Google Scholar 

  11. Boulos Z, Terman M . Food availability and daily biological rhythms. Neurosci Biobehav Rev 1979; 4: 119–131.

    Article  Google Scholar 

  12. Angeles-Castellanos M, Salgado-Delgado R, Rodriguez K, Buijs RM, Escobar C . The suprachiasmatic nucleus participates in food entrainment: a lesion study. Neuroscience 2010; 165: 1115–1126.

    CAS  Article  Google Scholar 

  13. Son GH, Chung S, Choe HK, Kim HD, Baik SM, Lee H et al. Adrenal peripheral clock controls the autonomous circadian rhythm of glucocorticoid by causing rhythmic steroid production. Proc Natl Acad Sci U S A. 2008; 105: 20970–20975.

    CAS  Article  Google Scholar 

  14. Perez-Llamas F, Garaulet M, Torralba C, Zamora S . [Development of a current version of a software application for research and practice in human nutrition (GRUNUMUR 2.0)]. Nutr Hosp 2012; 27: 1576–1582.

    CAS  PubMed  Google Scholar 

  15. Sarabia JA, Rol MA, Mendiola P, Madrid JA . Circadian rhythm of wrist temperature in normal-living subjects A candidate of new index of the circadian system. Physiol Behav 2008; 95: 570–580.

    CAS  Article  Google Scholar 

  16. da Rocha EE, Alves VG, da Fonseca RB . Indirect calorimetry: methodology, instruments and clinical application. Curr Opin Clin Nutr Metabol Care 2006; 9: 247–256.

    Article  Google Scholar 

  17. Weir JB . New methods for calculating metabolic rate with special reference to protein metabolism. J Physiol 1949; 109: 1–9.

    Article  Google Scholar 

  18. Allison DB, Paultre F, Maggio C, Mezzitis N, Pi-Sunyer FX . The use of areas under curves in diabetes research. Diabetes Care 1995; 18: 245–250.

    CAS  Article  Google Scholar 

  19. Ortiz-Tudela E, Martinez-Nicolas A, Campos M, Rol MA, Madrid JA . A new integrated variable based on thermometry, actimetry and body position (TAP) to evaluate circadian system status in humans. PLoS Comput Biol 2010; 6: e1000996.

    Article  Google Scholar 

  20. Kirschbaum C, Hellhammer DH . Salivary cortisol in psychoneuroendocrine research: recent developments and applications. Psychoneuroendocrinology 1994; 19: 313–333.

    CAS  Article  Google Scholar 

  21. Rizzo MR, Mari D, Barbieri M, Ragno E, Grella R, Provenzano R et al. Resting metabolic rate and respiratory quotient in human longevity. J Clin Endocrinol Metabol 2005; 90: 409–413.

    CAS  Article  Google Scholar 

  22. Lewis GF, McNally C, Blackman JD, Polonsky KS, Barron WM . Prior feeding alters the response to the 50-g glucose challenge test in pregnancy. The Staub-Traugott effect revisited. Diabetes Care 1993; 16: 1551–1556.

    CAS  Article  Google Scholar 

  23. Van Cauter E, Blackman JD, Roland D, Spire JP, Refetoff S, Polonsky KS . Modulation of glucose regulation and insulin secretion by circadian rhythmicity and sleep. J Clin Invest 1991; 88: 934–942.

    CAS  Article  Google Scholar 

  24. Leproult R, Holmback U, Van Cauter E . Circadian misalignment augments markers of insulin resistance and inflammation, independently of sleep loss. Diabetes 2014; 63: 1860–1869.

    CAS  Article  Google Scholar 

  25. Gonnissen HK, Rutters F, Mazuy C, Martens EA, Adam TC, Westerterp-Plantenga MS . Effect of a phase advance and phase delay of the 24-h cycle on energy metabolism, appetite, and related hormones. Am J Clin Nutr 2012; 96: 689–697.

    CAS  Article  Google Scholar 

  26. Chrousos GP, Gold PW . A healthy body in a healthy mind—and vice versa—the damaging power of ‘uncontrollable’ stress. J Clin Endocrinol Metabol 1998; 83: 1842–1845.

    CAS  Google Scholar 

  27. Lipiner-Friedman D, Sprung CL, Laterre PF, Weiss Y, Goodman SV, Vogeser M et al. Adrenal function in sepsis: the retrospective Corticus cohort study. Crit Care Med 2007; 35: 1012–1018.

    Article  Google Scholar 

  28. Garcia-Prieto MD, Tebar FJ, Nicolas F, Larque E, Zamora S, Garaulet M . Cortisol secretary pattern and glucocorticoid feedback sensitivity in women from a Mediterranean area: relationship with anthropometric characteristics, dietary intake and plasma fatty acid profile. Clin Endocrinol 2007; 66: 185–191.

    CAS  Article  Google Scholar 

  29. Corbalan-Tutau D, Madrid JA, Nicolas F, Garaulet M . Daily profile in two circadian markers ‘melatonin and cortisol’ and associations with metabolic syndrome components. Physiol Behav 2014; 123: 231–235.

    CAS  Article  Google Scholar 

  30. Mavroudis PD, Scheff JD, Calvano SE, Lowry SF, Androulakis IP . Entrainment of peripheral clock genes by cortisol. Physiol Genomics 2012; 44: 607–621.

    Article  Google Scholar 

  31. Linkowski P, Onderbergen AV, Kerkhofs M, Bosson D, Mendlewicz J, Cauter EV . Twin study of the 24-h cortisol profile evidence for genetic control of the human circadian clock. Am J Physiol 1993; 264 (2 Pt 1): WI 53190 USA E173–E181.

    Google Scholar 

  32. Corbalán-Tutau MD, Gómez-Abellán P, Madrid JA, Canteras M, Ordovás JM, Garaulet M . Toward a chronobiological characterization of obesity and metabolic syndrome in clinical practice. Clin Nutr 2014. In Press.

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This work was supported by The Spanish Government of Science and Innovation (Project No. BFU2011-24720 and BFU2010-21945-C02-01) and Seneca Foundation (Project No. 15123/PI/10). Frank A.J.L. Scheer was supported in part by grants NHLBI R01 HL094806 and NIDDK R01 DK099512.

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Correspondence to M Garaulet.

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Bandín, C., Scheer, F., Luque, A. et al. Meal timing affects glucose tolerance, substrate oxidation and circadian-related variables: A randomized, crossover trial. Int J Obes 39, 828–833 (2015).

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