Hostname: page-component-586b7cd67f-rdxmf Total loading time: 0 Render date: 2024-11-22T12:12:31.539Z Has data issue: false hasContentIssue false

A scoping review of chronotype and temporal patterns of eating of adults: tools used, findings, and future directions

Published online by Cambridge University Press:  14 May 2021

Yan Yin Phoi
Affiliation:
UniSA Allied Health and Human Performance, University of South Australia, Adelaide, Australia
Michelle Rogers
Affiliation:
UniSA Justice and Society, University of South Australia, Adelaide, Australia
Maxine P. Bonham
Affiliation:
Department of Nutrition and Dietetics, Monash University, Melbourne, Australia
Jillian Dorrian
Affiliation:
UniSA Justice and Society, University of South Australia, Adelaide, Australia
Alison M. Coates*
Affiliation:
UniSA Allied Health and Human Performance, University of South Australia, Adelaide, Australia
*
* Corresponding author: Alison Coates; email: [email protected]

Abstract

Circadian rhythms, metabolic processes and dietary intake are inextricably linked. Timing of food intake is a modifiable temporal cue for the circadian system and may be influenced by numerous factors, including individual chronotype – an indicator of an individual’s circadian rhythm in relation to the light–dark cycle. This scoping review examines temporal patterns of eating across chronotypes and assesses tools that have been used to collect data on temporal patterns of eating and chronotype. A systematic search identified thirty-six studies in which aspects of temporal patterns of eating, including meal timings; meal skipping; energy distribution across the day; meal frequency; time interval between meals, or meals and wake/sleep times; midpoint of food/energy intake; meal regularity; and duration of eating window, were presented in relation to chronotype. Findings indicate that, compared with morning chronotypes, evening chronotypes tend to skip meals more frequently, have later mealtimes, and distribute greater energy intake towards later times of the day. More studies should explore the difference in meal regularity and duration of eating window amongst chronotypes. Currently, tools used in collecting data on chronotype and temporal patterns of eating are varied, limiting the direct comparison of findings between studies. Development of a standardised assessment tool will allow future studies to confidently compare findings to inform the development and assessment of guidelines that provide recommendations on temporal patterns of eating for optimal health.

Type
Review Article
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of The Nutrition Society

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

St-Onge, M-P, Ard, J, Baskin, ML et al. (2017) Meal timing and frequency: implications for cardiovascular disease prevention: a scientific statement from the American Heart Association. Circulation 135, e96e121.10.1161/CIR.0000000000000476CrossRefGoogle ScholarPubMed
Cagampang, FR & Bruce, KD (2012) The role of the circadian clock system in nutrition and metabolism. Br J Nutr 108, 381392.10.1017/S0007114512002139CrossRefGoogle ScholarPubMed
Poggiogalle, E, Jamshed, H & Peterson, CM (2018) Circadian regulation of glucose, lipid, and energy metabolism in humans. Metabolism 84, 1127.10.1016/j.metabol.2017.11.017CrossRefGoogle ScholarPubMed
Leung, GKW, Huggins, CE & Bonham, MP (2019) Effect of meal timing on postprandial glucose responses to a low glycemic index meal: a crossover trial in healthy volunteers. Clin Nutr 38, 465471.10.1016/j.clnu.2017.11.010CrossRefGoogle ScholarPubMed
Sato, M, Nakamura, K, Ogata, H et al. (2011) Acute effect of late evening meal on diurnal variation of blood glucose and energy metabolism. Obes Res Clin Pract 5, e169266.10.1016/j.orcp.2011.02.001CrossRefGoogle ScholarPubMed
Baron, KG & Reid, KJ (2014) Circadian misalignment and health. Int Rev Psychiatry 26, 139154.10.3109/09540261.2014.911149CrossRefGoogle ScholarPubMed
Morris, CJ, Yang, JN, Garcia, JI et al. (2015) Endogenous circadian system and circadian misalignment impact glucose tolerance via separate mechanisms in humans. Proc Natl Acad Sci U S A 112, E22252234.10.1073/pnas.1418955112CrossRefGoogle ScholarPubMed
Morris, CJ, Purvis, TE, Hu, K et al. (2016) Circadian misalignment increases cardiovascular disease risk factors in humans. Proc Natl Acad Sci U S A 113, E14021411.10.1073/pnas.1516953113CrossRefGoogle ScholarPubMed
Bhutani, S & Varady, KA (2009) Nibbling versus feasting: which meal pattern is better for heart disease prevention? Nutr Rev 67, 591598.CrossRefGoogle ScholarPubMed
Leech, RM, Worsley, A, Timperio, A et al. (2015) Understanding meal patterns: definitions, methodology and impact on nutrient intake and diet quality. Nutr Res Rev 28, 121.10.1017/S0954422414000262CrossRefGoogle ScholarPubMed
Almoosawi, S, Vingeliene, S, Gachon, F et al. (2019) Chronotype: implications for epidemiologic studies on chrono-nutrition and cardiometabolic health. Adv Nutr 10, 3042.CrossRefGoogle ScholarPubMed
Roenneberg, T & Merrow, M (2016) The circadian clock and human health. Curr Biol 26, R432R443.10.1016/j.cub.2016.04.011CrossRefGoogle ScholarPubMed
Klerman, EB, Gershengorn, HB, Duffy, JF et al. (2002) Comparisons of the variability of three markers of the human circadian pacemaker. J Biol Rhythms 17, 181193.10.1177/074873002129002474CrossRefGoogle ScholarPubMed
Cipolla-Neto, J & Amaral, FGD (2018) Melatonin as a hormone: new physiological and clinical insights. Endocr Rev 39, 9901028.10.1210/er.2018-00084CrossRefGoogle ScholarPubMed
Lewy, AJ & Sack, RL (1989) The dim light melatonin onset as a marker for orcadian phase position. Chronobiol Int 6, 93102.10.3109/07420528909059144CrossRefGoogle Scholar
Kantermann, T, Sung, H & Burgess, HJ (2015) Comparing the Morningness-Eveningness Questionnaire and Munich ChronoType Questionnaire to the dim light melatonin onset. J Biol Rhythms 30, 449453.10.1177/0748730415597520CrossRefGoogle Scholar
Brown, SA, Kunz, D, Dumas, A et al. (2008) Molecular insights into human daily behavior. Proc Natl Acad Sci U S A 105, 16021607.10.1073/pnas.0707772105CrossRefGoogle ScholarPubMed
Wittmann, M, Dinich, J, Merrow, M et al. (2006) Social jetlag: misalignment of biological and social time. Chronobiol Int 23, 497509.10.1080/07420520500545979CrossRefGoogle ScholarPubMed
Merikanto, I, Lahti, T, Puolijoki, H et al. (2013) Associations of chronotype and sleep with cardiovascular diseases and type 2 diabetes. Chronobiol Int 30, 470477.10.3109/07420528.2012.741171CrossRefGoogle ScholarPubMed
Yu, JH, Yun, CH, Ahn, JH et al. (2015) Evening chronotype is associated with metabolic disorders and body composition in middle-aged adults. J Clin Endocrinol Metab 100, 14941502.10.1210/jc.2014-3754CrossRefGoogle ScholarPubMed
Mazri, FH, Manaf, ZA, Shahar, S et al. (2019) The association between chronotype and dietary pattern among adults: a scoping review. Int J Environ Res Public Health 17, 68.10.3390/ijerph17010068CrossRefGoogle ScholarPubMed
Reutrakul, S, Hood, MM, Crowley, SJ et al. (2013) Chronotype is independently associated with glycemic control in type 2 diabetes. Diabetes Care 36, 25232529.10.2337/dc12-2697CrossRefGoogle ScholarPubMed
Lichtenstein, AH, Appel, LJ, Brands, M et al. (2006) Diet and lifestyle recommendations revision 2006: a scientific statement from the American Heart Association Nutrition Committee. Circulation 114, 8296.10.1161/CIRCULATIONAHA.106.176158CrossRefGoogle ScholarPubMed
Arksey, H, O’Malley, L (2005) Scoping studies: towards a methodological framework. Int J Soc Res Methodol 8, 1932.10.1080/1364557032000119616CrossRefGoogle Scholar
Kellermeyer, L, Harnke, B, Knight, S (2018) Covidence and Rayyan. J Med Libr Assoc 106, 580583.10.5195/jmla.2018.513CrossRefGoogle Scholar
Peters, MDJ, Godfrey, C, McInerney, P, Munn, Z, Tricco, AC & Khalil, H (2020) Chapter 11: Scoping Reviews (2020 version). In JBI Manual for Evidence Synthesis [MZ Aromataris E, editor]: JBI.10.46658/JBIMES-20-12Google Scholar
Baron, KG, Reid, KJ, Kern, AS et al. (2011) Role of sleep timing in caloric intake and BMI. Obesity 19, 13741381.10.1038/oby.2011.100CrossRefGoogle ScholarPubMed
Costa, G, Lievore, F, Ferrari, P et al. (1987) Usual meal times in relation to age, sex, work activity and morningness-eveningness. Chronobiologia 14, 383391.Google ScholarPubMed
Friborg, O, Rosenvinge, JH, Wynn, R et al. (2014) Sleep timing, chronotype, mood, and behavior at an Arctic latitude (69degree N). Sleep Med 15, 798807.10.1016/j.sleep.2014.03.014CrossRefGoogle Scholar
Gangwar, A, Tiwari, S, Rawat, A et al. (2018) Circadian preference, sleep quality, and health-impairing lifestyles among undergraduates of medical university. Cureus 10, e2856.Google ScholarPubMed
Garaulet, M, Gomez-Abellan, P, Alburquerque-Bejar, J et al. (2013) Timing of food intake predicts weight loss effectiveness. Int J Obes (Lond) 37, 604611.10.1038/ijo.2012.229CrossRefGoogle ScholarPubMed
Gontijo, CA, Cabral, BBM, Balieiro, LCT et al. (2019) Time-related eating patterns and chronotype are associated with diet quality in pregnant women. Chronobiol Int 36, 7584.10.1080/07420528.2018.1518328CrossRefGoogle ScholarPubMed
Halsey, LG, Huber, JW, Low, T et al. (2012) Does consuming breakfast influence activity levels? An experiment into the effect of breakfast consumption on eating habits and energy expenditure. Public Health Nutr 15, 238245.10.1017/S136898001100111XCrossRefGoogle ScholarPubMed
Ishihara, K, Miyasita, A & Inugami, M (1985) Differences in the time or frequency of meals, alcohol and caffeine ingestion, and smoking found between ‘morning’ and ‘evening’ types. Psychol Rep 57, 391396.10.2466/pr0.1985.57.2.391CrossRefGoogle ScholarPubMed
Lucassen, EA, Zhao, X, Rother, KI et al. (2013) Evening chronotype is associated with changes in eating behavior, more sleep apnea, and increased stress hormones in short sleeping obese individuals. PLoS One 8, e56519.10.1371/journal.pone.0056519CrossRefGoogle ScholarPubMed
Maukonen, M, Kanerva, N, Partonen, T et al. (2017) Chronotype differences in timing of energy and macronutrient intakes: a population-based study in adults. Obesity 25, 608615.10.1002/oby.21747CrossRefGoogle ScholarPubMed
Maukonen, M, Kanerva, N, Partonen, T et al. (2019) Chronotype and energy intake timing in relation to changes in anthropometrics: a 7-year follow-up study in adults. Chronobiol Int 36, 2741.10.1080/07420528.2018.1515772CrossRefGoogle ScholarPubMed
Meule, A, Roeser, K, Randler, C et al. (2012) Skipping breakfast: morningness-eveningness preference is differentially related to state and trait food cravings. Eat Weight Disord 17, e304e308.Google ScholarPubMed
Munoz, JSG, Canavate, R, Hernandez, CM et al. (2017) The association among chronotype, timing of food intake and food preferences depends on body mass status. Eur J Clin Nutr 71, 736742.10.1038/ejcn.2016.182CrossRefGoogle ScholarPubMed
Nakade, M, Takeuchi, H, Kurotani, M et al. (2009) Effects of meal habits and alcohol/cigarette consumption on morningness-eveningness preference and sleep habits by Japanese female students aged 18-29. J Physiol Anthropol 28, 8390.10.2114/jpa2.28.83CrossRefGoogle ScholarPubMed
Nimitphong, H, Siwasaranond, N, Saetung, S et al. (2018) The relationship among breakfast time, morningness-eveningness preference and body mass index in type 2 diabetes. Diabet Med 35, 964971.10.1111/dme.13642CrossRefGoogle ScholarPubMed
Östberg, O (1973) Circadian rhythms of food intake and oral temperature in ‘morning’ and ‘evening’ groups of individuals. Ergonomics 16, 203209.CrossRefGoogle ScholarPubMed
Quante, M, Mariani, S & Weng, J et al. (2019) Zeitgebers and their association with rest-activity patterns. Chronobiol Int 36, 203213.10.1080/07420528.2018.1527347CrossRefGoogle ScholarPubMed
Randler, C & Jankowski, KS (2014) Evidence for the validity of the composite scale of morningness based on students from Germany and Poland – relationship with sleep-wake and social schedules. Biol Rhythm Res 45, 653659.CrossRefGoogle Scholar
Monk, TH, Flaherty, JF, Frank, E et al. (1990) The Social Rhythm Metric. An instrument to quantify the daily rhythms of life. J Nerv Ment Dis 178, 120126.10.1097/00005053-199002000-00007CrossRefGoogle ScholarPubMed
Reutrakul, S, Hood, MM, Crowley, SJ et al. (2014) The relationship between breakfast skipping, chronotype, and glycemic control in type 2 diabetes. Chronobiol Int 31, 6471.CrossRefGoogle ScholarPubMed
Romo-Nava, F, Blom, T, Guerdjikova, A et al. (2020) Evening chronotype, disordered eating behavior, and poor dietary habits in bipolar disorder. Acta Psychiatr Scand 142, 5865.10.1111/acps.13179CrossRefGoogle ScholarPubMed
Ruiz-Lozano, T, Vidal, J, de Hollanda, A et al. (2016) Evening chronotype associates with obesity in severely obese subjects: interaction with CLOCK 3111T/C. Int J Obes (Lond) 40, 15501557.10.1038/ijo.2016.116CrossRefGoogle ScholarPubMed
Bertéus Forslund, H, Lindroos, AK, Sjöström, L et al. (2002) Meal patterns and obesity in Swedish women-a simple instrument describing usual meal types, frequency and temporal distribution. Eur J Clin Nutr 56, 740747.10.1038/sj.ejcn.1601387CrossRefGoogle ScholarPubMed
Sato-Mito, N, Sasaki, S, Murakami, K et al. (2011) The midpoint of sleep is associated with dietary intake and dietary behavior among young Japanese women. Sleep Med 12, 289294.CrossRefGoogle ScholarPubMed
Shimura, A, Sugiura, K, Inoue, M et al. (2020) Which sleep hygiene factors are important? Comprehensive assessment of lifestyle habits and job environment on sleep among office workers. Sleep Health 28, 288298.10.1016/j.sleh.2020.02.001CrossRefGoogle Scholar
Silva, CM, Mota, MC, Miranda, MT et al. (2016) Chronotype, social jetlag and sleep debt are associated with dietary intake among Brazilian undergraduate students. Chronobiol Int 33, 740748.CrossRefGoogle ScholarPubMed
Takeuchi, H, Yamazaki, Y, Oki, K et al. (2015) Effects of chronotype and environmental factors upon sleep and mental health in Japanese students aged 18–40 yrs. Biol Rhythm Res 46, 771784.CrossRefGoogle Scholar
Teixeira, GP, Mota, MC, Crispim, CA (2018) Eveningness is associated with skipping breakfast and poor nutritional intake in Brazilian undergraduate students. Chronobiol Int 35, 358367.10.1080/07420528.2017.1407778CrossRefGoogle ScholarPubMed
Teixeira, GP, Barreto, AdCF, Mota, MC et al. (2019) Caloric midpoint is associated with total calorie and macronutrient intake and body mass index in undergraduate students. Chronobiol Int 36, 14181428.10.1080/07420528.2019.1652830CrossRefGoogle ScholarPubMed
Vera, B, Dashti, HS, Gómez-Abellán, P et al. (2018) Modifiable lifestyle behaviors, but not a genetic risk score, associate with metabolic syndrome in evening chronotypes. Sci Rep 8, 945945.CrossRefGoogle Scholar
Xiao, Q, Garaulet, M & Scheer, F (2019) Meal timing and obesity: interactions with macronutrient intake and chronotype. Int J Obes (Lond) 43, 17011711.CrossRefGoogle ScholarPubMed
Yadav, A & Singh, S (2014) Relationship of chronotype to sleep pattern in a cohort of college students during work days and vacation days. Indian J Exp Biol 52, 569574.Google Scholar
Yasuda, J, Asako, M, Arimitsu, T et al. (2018) Skipping breakfast is associated with lower fat-free mass in healthy young subjects: a cross-sectional study. Nutr Res 60, 2632.CrossRefGoogle ScholarPubMed
Yazdinezhad, A, Askarpour, M, Aboushamsia, MM et al. (2019) Evaluating the effect of chronotype on meal timing and obesity in Iranian housewives: a cross-sectional study. J Adv Med Biomed Res 27, 3136.Google Scholar
Yoshizaki, T, Kawano, Y, Noguchi, O et al. (2016) Association of eating behaviours with diurnal preference and rotating shift work in Japanese female nurses: a cross-sectional study. BMJ Open 6, e011987.CrossRefGoogle ScholarPubMed
Zeron-Rugerio, MF, Hernaez, A, Porras-Loaiza, AP et al. (2019) Eating jet lag: a marker of the variability in meal timing and its association with body mass index. Nutrients 11, 2980.CrossRefGoogle ScholarPubMed
Zeron-Rugerio, MF, Longo-Silva, G, Hernaez, A et al. (2020) The elapsed time between dinner and the midpoint of sleep is associated with adiposity in young women. Nutrients 12, 410.CrossRefGoogle ScholarPubMed
Horne, JA & Ostberg, O (1976) A self-assessment questionnaire to determine morningness-eveningness in human circadian rhythms. Int J Chronobiol 4, 97110.Google ScholarPubMed
Hätönen, T, Forsblom, S, Kieseppä, T et al. (2008) Circadian phenotype in patients with the co-morbid alcohol use and bipolar disorders. Alcohol Alcohol 43, 564568.CrossRefGoogle ScholarPubMed
Lars, T & Torbjörn, Å (1980) A diurnal type scale. Construction, consistency and validation in shift work. Scand J Work Environ Health 6, 283290.Google Scholar
Smith, CS, Reilly, C & Midkiff, K (1989) Evaluation of three circadian rhythm questionnaires with suggestions for an improved measure of morningness. J Appl Psychol 74, 728738.CrossRefGoogle ScholarPubMed
Roenneberg, T, Wirz-Justice, A & Merrow, M (2003) Life between clocks: daily temporal patterns of human chronotypes. J Biol Rhythms 18, 8090.CrossRefGoogle ScholarPubMed
Juda, M, Vetter, C & Roenneberg, T (2013) Chronotype modulates sleep duration, sleep quality, and social jet lag in shift-workers. J Biol Rhythms 28, 141151.CrossRefGoogle ScholarPubMed
Levandovski, R, Sasso, E & Hidalgo, MP (2013) Chronotype: a review of the advances, limits and applicability of the main instruments used in the literature to assess human phenotype. Trends Psychiatry Psychother 35, 311.CrossRefGoogle ScholarPubMed
Terman, JS, Terman, M, Lo, E-S et al. (2001) Circadian time of morning light administration and therapeutic response in winter depression. Arch of Gen Psychiatry 58, 6975.CrossRefGoogle Scholar
Roenneberg, T (2015) Having trouble typing? What on earth is chronotype? J Biol Rhythms 30, 487491.CrossRefGoogle ScholarPubMed
Nováková, M, Sládek, M & Sumová, A (2013) Human chronotype is determined in bodily cells under real-life conditions. Chronobiol Int 30, 607617.CrossRefGoogle ScholarPubMed
Juda, M, Vetter, C & Roenneberg, T (2013) The Munich ChronoType Questionnaire for Shift-workers (MCTQShift). J Biol Rhythms 28, 130140.CrossRefGoogle Scholar
Maw, SS & Haga, C (2019) Effect of a 2-hour interval between dinner and bedtime on glycated haemoglobin levels in middle-aged and elderly Japanese people: a longitudinal analysis of 3-year health check-up data. BMJ Nutr Prev Health 2, 110.CrossRefGoogle ScholarPubMed
Bonham, MP, Kaias, E, Zimberg, I et al. (2019) Effect of night time eating on postprandial triglyceride metabolism in healthy adults: a systematic literature review. J Biol Rhythms 34, 119130.CrossRefGoogle ScholarPubMed
Zhang, X, Wu, Y, Na, M et al. (2020) Habitual night eating was positively associated with progress of arterial stiffness in Chinese adults. J Am Heart Assoc 9, e016455.CrossRefGoogle ScholarPubMed
Sutton, EF, Beyl, R, Early, KS et al. (2018) Early time-restricted feeding improves insulin sensitivity, blood pressure, and oxidative stress even without weight loss in men with prediabetes. Cell Metab 27, 12121221.e1213.10.1016/j.cmet.2018.04.010CrossRefGoogle ScholarPubMed
Hutchison, AT, Regmi, P, Manoogian, ENC et al. (2019) Time-restricted feeding improves glucose tolerance in men at risk for type 2 diabetes: a randomized crossover trial. Obesity (Silver Spring) 27, 724732.Google ScholarPubMed
Chung, H, Chou, W, Sears, DD et al. (2016) Time-restricted feeding improves insulin resistance and hepatic steatosis in a mouse model of postmenopausal obesity. Metabolism 65, 17431754.CrossRefGoogle Scholar
Hatori, M, Vollmers, C, Zarrinpar, A et al. (2012) Time-restricted feeding without reducing caloric intake prevents metabolic diseases in mice fed a high-fat diet. Cell Metab 15, 848860.CrossRefGoogle ScholarPubMed
Jamshed, H, Beyl, RA, Della Manna, DL et al. (2019) Early time-restricted feeding improves 24-hour glucose levels and affects markers of the circadian clock, aging, and autophagy in humans. Nutrients 11, 1234.CrossRefGoogle ScholarPubMed
Deshmukh-Taskar, P, Nicklas, TA, Radcliffe, JD et al. (2013) The relationship of breakfast skipping and type of breakfast consumed with overweight/obesity, abdominal obesity, other cardiometabolic risk factors and the metabolic syndrome in young adults. The National Health and Nutrition Examination Survey (NHANES): 1999-2006. Public Health Nutr 16, 20732082.CrossRefGoogle ScholarPubMed
Bonnet, JP, Cardel, MI, Cellini, J et al. (2020) Breakfast skipping, body composition, and cardiometabolic risk: a systematic review and meta-analysis of randomized trials. Obesity (Silver Spring) 28, 10981109.CrossRefGoogle ScholarPubMed
Rynders, CA, Thomas, EA, Zaman, A et al. (2019) Effectiveness of intermittent fasting and time-restricted feeding compared to continuous energy restriction for weight loss. Nutrients 11, 2442.CrossRefGoogle ScholarPubMed
Damiola, F, Le Minh, N, Preitner, N et al. (2000) Restricted feeding uncouples circadian oscillators in peripheral tissues from the central pacemaker in the suprachiasmatic nucleus. Genes Dev 14, 29502961.CrossRefGoogle ScholarPubMed
Scheer, FA, Hilton, MF, Mantzoros, CS et al. (2009) Adverse metabolic and cardiovascular consequences of circadian misalignment. Proc Natl Acad Sci U S A 106, 44534458.CrossRefGoogle ScholarPubMed
Yoshizaki, T, Tada, Y, Hida, A et al. (2013) Effects of feeding schedule changes on the circadian phase of the cardiac autonomic nervous system and serum lipid levels. Eur J Appl Physiol 113, 26032611.CrossRefGoogle ScholarPubMed
Tsuchida, Y, Hata, S, Sone, Y (2013) Effects of a late supper on digestion and the absorption of dietary carbohydrates in the following morning. J Physiol Anthropol 32, 9.CrossRefGoogle ScholarPubMed
Gallant, A, Lundgren, J & Drapeau, V (2014) Nutritional aspects of late eating and night eating. Curr Obes Rep 3, 101107.CrossRefGoogle ScholarPubMed
de Castro, JM (2004) The time of day of food intake influences overall intake in humans. J Nutr 134, 104111.CrossRefGoogle ScholarPubMed
Jakubowicz, D, Wainstein, J, Ahren, B et al. (2015) High-energy breakfast with low-energy dinner decreases overall daily hyperglycaemia in type 2 diabetic patients: a randomised clinical trial. Diabetologia 58, 912919.CrossRefGoogle ScholarPubMed
Jakubowicz, D, Barnea, M, Wainstein, J et al. (2013) High caloric intake at breakfast vs. dinner differentially influences weight loss of overweight and obese women. Obesity 21, 25042512.CrossRefGoogle ScholarPubMed
Davis, R, Bonham, MP, Nguo, K et al. (2020) Glycaemic response at night is improved after eating a high protein meal compared with a standard meal: a cross-over study. Clin Nutr 39, 15101516.CrossRefGoogle ScholarPubMed
Sierra-Johnson, J, Unden, AL, Linestrand, M et al. (2008) Eating meals irregularly: a novel environmental risk factor for the metabolic syndrome. Obesity (Silver Spring) 16, 13021307.CrossRefGoogle ScholarPubMed
Pot, GK, Hardy, R, Stephen, AM (2014) Irregular consumption of energy intake in meals is associated with a higher cardiometabolic risk in adults of a British birth cohort. Int J Obes (Lond) 38, 15181524.CrossRefGoogle ScholarPubMed
Roenneberg, T, Allebrandt, KV, Merrow, M et al. (2012) Social jetlag and obesity. Curr Biol 22, 939943.CrossRefGoogle ScholarPubMed
Park, MK, Freisling, H, Huseinovic, E et al. (2018) Comparison of meal patterns across five European countries using standardized 24-h recall (GloboDiet) data from the EFCOVAL project. Eur J Nutr 57, 10451057.CrossRefGoogle ScholarPubMed
Di Milia, L, Adan, A, Natale, V et al. (2013) Reviewing the psychometric properties of contemporary circadian typology measures. Chronobiol Int 30, 12611271.CrossRefGoogle ScholarPubMed
Caci, H, Deschaux, O, Adan, A et al. (2009) Comparing three morningness scales: age and gender effects, structure and cut-off criteria. Sleep Med 10, 240245.CrossRefGoogle ScholarPubMed
Roenneberg, T, Kuehnle, T, Juda, M et al. (2007) Epidemiology of the human circadian clock. Sleep Med Rev 11, 429438.CrossRefGoogle ScholarPubMed
Biró, G, Hulshof, KF, Ovesen, L et al. (2002) Selection of methodology to assess food intake. Eur J Clin Nutr 56, S2532.CrossRefGoogle ScholarPubMed
Shim, J-S, Oh, K & Kim, HC (2014) Dietary assessment methods in epidemiologic studies. Epidemiol Health 36, e2014009e2014009.CrossRefGoogle ScholarPubMed
Livingstone, MBE & Black, AE (2003) Markers of the validity of reported energy intake. J Nutr 133, 895S920S.CrossRefGoogle ScholarPubMed
Veronda, AC, Allison, KC, Crosby, RD et al. (2020) Development, validation and reliability of the Chrononutrition Profile - Questionnaire. Chronobiol Int 37, 375394.CrossRefGoogle ScholarPubMed
Mäkelä, J, Kjærnes, U, Pipping Ekström, M et al. (1999) Nordic meals: methodological notes on a comparative survey. Appetite 32, 7379.CrossRefGoogle ScholarPubMed
Leech, RM, Worsley, A & Timperio, A et al. (2015) Characterizing eating patterns: a comparison of eating occasion definitions. Am J Clin Nutr 102, 12291237.CrossRefGoogle ScholarPubMed
Centofanti, S, Dorrian, J, Hilditch, C et al. (2018) Eating on nightshift: a big vs small snack impairs glucose response to breakfast. Neurobiol Sleep Circadian Rhythms 4, 4448.CrossRefGoogle ScholarPubMed
Supplementary material: PDF

Phoi et al. supplementary material

Phoi et al. supplementary material

Download Phoi et al. supplementary material(PDF)
PDF 110.4 KB