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Cross-sectional associations of meal size and meal timing with lipid biomarkers in a population-based cohort

Published online by Cambridge University Press:  11 December 2017

M.A.H. Lentjes ,
L.M. Oude Griep ,
R.H. Keogh ,
A.A. Mulligan  and
K.T. Khaw
M.A.H. Lentjes
Affiliation:
University of Cambridge, Dept of Public Health & Primary Care, Cambridge CB1 8RN
L.M. Oude Griep
Affiliation:
Imperial College London, Dept of Epidemiology and Biostatistics, London W2 1PG
R.H. Keogh
Affiliation:
London School of Hygiene and Tropical Medicine, London WC1E 7HT
A.A. Mulligan
Affiliation:
University of Cambridge, Dept of Public Health & Primary Care, Cambridge CB1 8RN
K.T. Khaw
Affiliation:
University of Cambridge, Clinical Gerontology Unit, Cambridge CB2 2QQ
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Abstract

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Abstract
Information
Proceedings of the Nutrition Society , Volume 76 , Issue OCE4: Summer Meeting, 10–12 July 2017, Improving Nutrition in Metropolitan Areas , 2017 , E129
Copyright
Copyright © The Authors 2017 

Late night eating has been associated with a higher risk of cardiovascular mortality( Reference Cahill, Chiuve and Mekary 1 ) and breakfast skipping with unfavourable cardiovascular risk factors( Reference St-Onge, Ard and Baskin 2 ). We have previously reported that a high energy breakfast is associated with lower cholesterol concentrations( Reference Lentjes, Mulligan and Welch 3 ). Here, we describe associations of meal size and meal timing with triglyceride (TG) and cholesterol concentrations, while considering time-of-day variation of these biomarkers.

The Norfolk-based European Prospective Investigation into Cancer and Nutrition (EPIC-Norfolk) recruited men and women, aged 39–79 y from GP practices between 1993–1998( Reference Day, Oakes and Luben 4 ). Anthropometry was measured at health visits at which point non-fasting blood samples were taken (between 08:00–19:00) and serum cholesterol and TG concentrations determined. TGs were log-transformed. Those using lipid lowering medication were excluded as well as participants who reported illness or nightshifts. Participants completed a pre-structured 7-day diet diary consisting of eight recording sections: before breakfast (BB), breakfast (B), midmorning (MM), lunch (L), tea (T), dinner (D), evening (E) and ‘unknown time’ (U). We calculated mean reported energy intake (MJ/d) for each section, representing ‘meal size’. Analysis of covariance was used to investigate associations of the energy content of individual meal sections with lipid concentrations (eight models per lipid), adjusted for: total energy intake (the beta of the meal section represents moving 1 MJ of any section to the meal section of interest while keeping daily energy intake unchanged), hour of blood sampling, hours fasted, season, sex, age, physical activity, smoking, alcohol, education and BMI (N = 22,068). Significant contributions to the model were determined by the F-test (P < 0·05).

Mean (SD) energy intake at the eight recording sections were: 0·08 (0·15), 1·25 (0·68), 0·35 (0·44), 2·34 (0·90), 0·37 (0·40), 2·98 (1·06), 0·63 (0·57), 0·23 (0·34) MJ/d respectively; for cholesterol and TG these were 6·19 (1·17) and 1·81 (1·11) respectively. Moving 1 MJ of energy to the meal section of interest was associated with higher lipid concentrations, apart from cholesterol at breakfast and TG at tea and dinner (top graphs). Only TG varied by blood sampling time for which significant interactions between sampling time and energy intake at breakfast and lunch were observed (P < 0·001, bottom graphs).

The association between breakfast and cholesterol might be confounded by diet quality. Blood sampling time clarified associations between meal patterns and TG and may help in understanding diet-disease associations, in which circadian variation could be included.

References

1. Cahill, LE, Chiuve, SE, Mekary, RA et al. (2013) Circulation 128, 337–43.Google Scholar
2. St-Onge, M-P, Ard, J, Baskin, ML et al. (2017) Circulation 135, e96–e121.Google Scholar
3. Lentjes, M, Mulligan, AA, Welch, AA et al. (2013) Proc Nutr Soc, 72, E297.CrossRefGoogle Scholar
4. Day, N, Oakes, S, Luben, R et al. (1999) Br. J. Cancer 80, Suppl. 1, 95–103.Google Scholar