GBD 2017 Diet Collaborators. Health effects of dietary risks in 195 countries, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2019;393(10184):1958–72.

Article  Google Scholar 

GBD 2017 Risk Factor Collaborators. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018;392(10159):1923–94.

Article  Google Scholar 

Flanagan A, Bechtold DA, Pot GK, Johnston JD. Chrono-nutrition: From molecular and neuronal mechanisms to human epidemiology and timed feeding patterns. J Neurochem. 2021;157(1):53–72.

Article  CAS  PubMed  Google Scholar 

Lotti S, Pagliai G, Colombini B, Sofi F, Dinu M. Chronotype differences in energy intake, cardiometabolic risk parameters, cancer, and depression: a systematic review with meta-analysis of observational studies. Adv Nutr. 2022;13(1):269–81.

Article  CAS  PubMed  Google Scholar 

Roenneberg T, Merrow M. The circadian clock and human health. Curr Biol. 2016;26(10):R432–43.

Article  CAS  PubMed  Google Scholar 

Almoosawi S, Vingeliene S, Gachon F, Voortman T, Palla L, Johnston JD, et al. Chronotype: implications for epidemiologic studies on chrono-nutrition and cardiometabolic health. Adv Nutr. 2019;10(1):30–42.

Article  PubMed  Google Scholar 

Henry CJ, Kaur B, Quek RYC. Chrononutrition in the management of diabetes. Nutr Diabetes. 2020;10(1):6.

Article  PubMed  PubMed Central  Google Scholar 

Adan A, Archer SN, Hidalgo MP, Di Milia L, Natale V, Randler C. Circadian typology: a comprehensive review. Chronobiol Int. 2012;29(9):1153–75.

Article  PubMed  Google Scholar 

Dashti HS, Scheer FAJL, Saxena R, Garaulet M. Timing of food intake: identifying contributing factors to design effective interventions. Adv Nutr. 2019;10(4):606–20.

Article  PubMed  PubMed Central  Google Scholar 

Fiore G, Scapaticci S, Neri CR, Azaryah H, Escudero-Marin M, Pascuzzi MC, et al. Chrononutrition and metabolic health in children and adolescents: a systematic review and meta-analysis. Nutr Rev. 2024;82(10):1309–54.

Article  PubMed  Google Scholar 

Phoi YY, Rogers M, Bonham MP, Dorrian J, Coates AM. A scoping review of chronotype and temporal patterns of eating of adults: tools used, findings, and future directions. Nutr Res Rev. 2022;35(1):112–35.

Article  PubMed  Google Scholar 

Almoosawi S, Vingeliene S, Karagounis LG, Pot GK. Chrono-nutrition: a review of current evidence from observational studies on global trends in time-of-day of energy intake and its association with obesity. Proc Nutr Soc. 2016;75(4):487–500.

Article  CAS  PubMed  Google Scholar 

St-Onge MP, Ard J, Baskin ML, Chiuve SE, Johnson HM, Kris-Etherton P, et al. Meal timing and frequency: implications for cardiovascular disease prevention: a scientific statement from the American Heart Association. Circulation. 2017;135(9):e96-121.

Article  PubMed  PubMed Central  Google Scholar 

Canuto R, da Silva GA, Kac G, de Lira PIC, Olinto MTA. Eating frequency and weight and body composition: a systematic review of observational studies. Public Health Nutr. 2017;20(12):2079–95.

Article  PubMed  PubMed Central  Google Scholar 

Murakami K, Livingstone MB. Eating frequency in relation to body mass index and waist circumference in British adults. Int J Obes (Lond). 2014;38(9):1200–6.

Article  CAS  PubMed  Google Scholar 

Murakami K, Livingstone MB. Eating frequency is positively associated with overweight and central obesity in US adults. J Nutr. 2015;145(12):2715–24.

Article  CAS  PubMed  Google Scholar 

Leech RM, Worsley A, Timperio A, McNaughton SA. The role of energy intake and energy misreporting in the associations between eating patterns and adiposity. Eur J Clin Nutr. 2018;72(1):142–7.

Article  CAS  PubMed  Google Scholar 

Tamez M, Rodriguez-Orengo JF, Mattei J. Higher eating frequency, but not skipping breakfast, is associated with higher odds of abdominal obesity in adults living in Puerto Rico. Nutr Res. 2020;73:75–82.

Article  CAS  PubMed  Google Scholar 

Pons-Muzzo L, de Cid R, Obon-Santacana M, Straif K, Papantoniou K, Santonja I, et al. Sex-specific chrono-nutritional patterns and association with body weight in a general population in Spain (GCAT study). Int J Behav Nutr Phys Act. 2024;21(1):102.

Article  PubMed  PubMed Central  Google Scholar 

Lyu J, Lee K, Jung S, Park YJ. Associations of meal timing and sleep duration with incidence of obesity: a prospective cohort study. J Nutr Health Aging. 2024;28(6):100220.

Article  CAS  PubMed  Google Scholar 

Ha K, Song Y. Associations of meal timing and frequency with obesity and metabolic syndrome among Korean adults. Nutrients. 2019;11(10):2437.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Berteus Forslund H, Lindroos AK, Sjostrom L, Lissner L. Meal patterns and obesity in Swedish women - a simple instrument describing usual meal types, frequency and temporal distribution. Eur J Clin Nutr. 2002;56(8):740–7.

Article  CAS  PubMed  Google Scholar 

Kahleova H, Lloren JI, Mashchak A, Hill M, Fraser GE. Meal frequency and timing are associated with changes in body mass index in Adventist Health Study 2. J Nutr. 2017;147(9):1722–8.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Aljuraiban GS, Chan Q, Oude Griep LM, Brown IJ, Daviglus ML, Stamler J, et al. The impact of eating frequency and time of intake on nutrient quality and body mass iIndex: The INTERMAP Study, a population-based study. J Acad Nutr Diet. 2015;115(4):528–36.

Article  PubMed  PubMed Central  Google Scholar 

Zeron-Rugerio MF, Diez-Noguera A, Izquierdo-Pulido M, Cambras T. Higher eating frequency is associated with lower adiposity and robust circadian rhythms: a cross-sectional study. Am J Clin Nutr. 2021;113(1):17–27.

Article  CAS  PubMed  Google Scholar 

Bernardes da Cunha N, Teixeira GP, Madalena Rinaldi AE, Azeredo CM, Crispim CA. Late meal intake is associated with abdominal obesity and metabolic disorders related to metabolic syndrome: A chrononutrition approach using data from NHANES 2015–2018. Clin Nutr. 2023;42(9):1798–805.

Article  CAS  PubMed  Google Scholar 

Larsen SC, Heitmann BL. More frequent intake of regular meals and less frequent snacking are weakly associated with lower long-term gains in body mass index and fat mass in middle-aged men and women. J Nutr. 2019;149(5):824–30.

Article  PubMed  Google Scholar 

Mao Z, Cawthon PM, Kritchevsky SB, Toledo FGS, Esser KA, Erickson ML, et al. The association between chrononutrition behaviors and muscle health among older adults: the study of muscle, mobility and aging. Aging Cell. 2023;23(6):e14059.

Article  PubMed  PubMed Central  Google Scholar 

Longo-Silva G, Lima MO, Pedrosa AKP, Serenini R, Marinho PM, Menezes RCE. Association of largest meal timing and eating frequency with body mass index and obesity. Clin Nutr ESPEN. 2024;60:179–86.

Article  PubMed  Google Scholar 

Zeron-Rugerio MF, Longo-Silva G, Hernaez A, Ortega-Regules AE, Cambras T, Izquierdo-Pulido M. The elapsed time between dinner and the midpoint of sleep is associated with adiposity in young women. Nutrients. 2020;12(2):410.

Article  PubMed  PubMed Central  Google Scholar 

McHill AW, Phillips AJ, Czeisler CA, Keating L, Yee K, Barger LK, et al. Later circadian timing of food intake is associated with increased body fat. Am J Clin Nutr. 2017;106(5):1213–9.

Article  CAS  PubMed  PubMed Central