Written By Education Manager, Stefan Ianev
While it is true that the majority of individuals, I would say about 70% of the population, will respond best to a moderate carbohydrate diet, the timing of those carbohydrates and the daily calories can make a difference for some people.
The literature is split right down the middle with some studies showing a benefit to consuming more calories and carbohydrates earlier in the day, some studies showing a benefit to consuming more calories and carbohydrates later in the day, and other studies showing no difference. Basically, what that tells us is that everyone is different.
For a while this was something that really puzzled me because there was no real way of knowing if someone would respond best to having more carbs earlier or later in the day without some trial and error. However, more recent research has provided some insight into why some people might respond better to having more carbohydrates at certain times of the day.
It appears that this is related to an individual’s circadian timing or chronotype. For example, some people are naturally early birds or early chronotypes which means they have early onset of melatonin (around 7pm). Late chronotypes or night owls have late onset of melatonin (around 1am), while neither-types have melatonin onset around 10pm.
Apart from regulating the sleep-wake cycle, melatonin has been shown to impair glucose tolerance in about 50% of the population (1). In susceptible individuals, eating the bulk of calories later in the day, when melatonin is elevated, has been shown to increase the risk of obesity, dyslipidemia, hyperglycemia, inflammation, and metabolic syndrome (1-3).
That is why for early birds or early chronotypes types will most likely do better on a carb front loading diet or early time restricted feeding where the majority of carbohydrates and daily calories are consumed earlier in the day, before 1pm, and the last meal of the day is before 7pm.
Several studies have shown that early time restricted feeding can aid weight loss, however this appears to be mostly mediated through reduced food intake (4,5). Additionally, other studies have shown that early time restricted feeding can improve insulin sensitivity, blood pressure, and oxidative stress, and may also increase autophagy and have anti-aging effects in humans, irrespective or weight loss (6,7).
However, this feeding pattern is not suitable for everyone, particularly night owls or evening chronotypes, because in these individuals, elevated melatonin levels may persist for longer in the morning, which increases the metabolic risk, due to decreased glucose tolerance (1).
These individuals may respond best to carb backloading or late time restricted feeding as it is more aligned with their circadian timing. Several studies have reported a modest improvement in fat loss when consuming the daily calories later in the day, even when consuming the same total calories (8,9). The researchers speculated that the change in body composition could be influenced by the effect that eating patterns have on metabolic activity.
However, in other studies, subjects who consumed their daily calories in the evening exhibited elevated fasting glucose levels, and impaired morning glucose tolerance which was associated with a delayed insulin response (10). Therefore, just like with early time restricted feeding, this feeding pattern is not appropriate for everyone.
The good news is that we are now starting to understand more about why some people respond best to eating the bulk of their calories earlier in the day while others do not. And even better, you do not need any expensive or complicated testing to find out. Everyone already knows if they are an early bird, a night owl, or neither-type.
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References
Lopez-Minguez J, Gómez-Abellán P, Garaulet M. Timing of Breakfast, Lunch, and Dinner. Effects on Obesity and Metabolic Risk. Nutrients. 2019;11(11):2624. Published 2019 Nov 1. doi:10.3390/nu11112624
Nas A, et al. Impact of breakfast skipping compared with dinner skipping on regulation of energy balance and metabolic risk, The American Journal of Clinical Nutrition, Volume 105, Issue 6, June 2017, Pages 1351–1361, https://doi.org/10.3945/ajcn.116.151332
Varady KA. Meal frequency and timing: impact on metabolic disease risk. Curr Opin Endocrinol Diabetes Obes. 2016 Oct;23(5):379-83. doi: 10.1097/MED.0000000000000280.
LeCheminant JD, Christenson E, Bailey BW, Tucker LA. Restricting night-time eating reduces daily energy intake in healthy young men: a short-term cross-over study. Br J Nutr. 2013;110(11):2108‐2113. doi:10.1017/S0007114513001359
Ravussin E, Beyl RA, Poggiogalle E, Hsia DS, Peterson CM. Early Time-Restricted Feeding Reduces Appetite and Increases Fat Oxidation But Does Not Affect Energy Expenditure in Humans. Obesity (Silver Spring). 2019;27(8):1244‐1254. doi:10.1002/oby.22518
Sutton EF, Beyl R, Early KS, et al. Early Time-Restricted Feeding Improves Insulin Sensitivity, Blood Pressure, and Oxidative Stress Even without Weight Loss in Men with Prediabetes. Cell Metabolism. 2018 Jun;27(6):1212-1221.e3. DOI: 10.1016/j.cmet.2018.04.010.
Jamshed H, Beyl RA, Della Manna DL, Yang ES, Ravussin E, Peterson CM. Early Time-Restricted Feeding Improves 24-Hour Glucose Levels and Affects Markers of the Circadian Clock, Aging, and Autophagy in Humans. Nutrients. 2019;11(6):1234. Published 2019 May 30. doi:10.3390/nu11061234
Moro T, Tinsley G, Bianco A, et al. Effects of eight weeks of time-restricted feeding (16/8) on basal metabolism, maximal strength, body composition, inflammation, and cardiovascular risk factors in resistance-trained males. Journal of Translational Medicine. 2016;14:290. doi:10.1186/s12967-016-1044-0.
Stote KS, Baer DJ, Spears K, et al. A controlled trial of reduced meal frequency without caloric restriction in healthy, normal-weight, middle-aged adults. Am J Clin Nutr. 2007;85(4):981‐988. doi:10.1093/ajcn/85.4.981
Carlson O, Martin B, Stote KS, et al. Impact of reduced meal frequency without caloric restriction on glucose regulation in healthy, normal-weight middle-aged men and women. Metabolism. 2007;56(12):1729‐1734. doi:10.1016/j.metabol.2007.07.018
