Monteiro CA, Cannon G, Lawrence M, Costa Louzada ML, Pereira Machado P (2019) Ultra-processed foods, diet quality, and health using the NOVA classification system. Rome, FAO

Baker P, Machado P, Santos T, Sievert K, Backholer K, Hadjikakou M, Russell C, Huse O, Bell C, Scrinis G et al (2020) Ultra-processed foods and the nutrition transition: global, regional and National trends, food systems transformations and political economy drivers. Obes Rev 21(12):e13126

Article  PubMed  Google Scholar 

Martini D, Godos J, Bonaccio M, Vitaglione P, Grosso G (2021) Ultra-processed foods and nutritional dietary profile: a meta-analysis of nationally representative samples. Nutrients 13:3390. https://doi.org/10.3390/nu13103390

Article  CAS  PubMed  PubMed Central  Google Scholar 

Suksatan W, Moradi S, Naeini F, Bagheri R, Mohammadi H, Talebi S et al (2021) Ultra-processed food consumption and adult mortality risk: a systematic review and dose-response meta-analysis of 207,291 participants. Nutrients 14:174. https://doi.org/10.3390/NU14010174

Article  PubMed  PubMed Central  Google Scholar 

Lane MM, Davis JA, Beattie S, Gómez-Donoso C, Loughman A, O’Neil A et al (2021) Ultraprocessed food and chronic noncommunicable diseases: a systematic review and meta-analysis of 43 observational studies. Obes Rev 22:e13146. https://doi.org/10.1111/obr.13146

Article  PubMed  Google Scholar 

Askari M, Heshmati J, Shahinfar H, Tripathi N, Daneshzad E (2020) Ultra-processed food and the risk of overweight and obesity: a systematic review and meta-analysis of observational studies. Int J Obes 44:2080–2091. https://doi.org/10.1038/s41366-020-00650-z

Article  Google Scholar 

Dashti HS, Gómez-Abellán P, Qian J, Esteban A, Morales E, Scheer FAJL, Garaulet M (2021) Late eating is associated with cardiometabolic risk traits, obesogenic behaviors, and impaired weight loss. Am J Clin Nutr 113(1):154–161

Article  PubMed  Google Scholar 

Crispim CA, Rinaldi AE, Azeredo CM, Skene DJ, Moreno CR (2023) Is time of eating associated with BMI and obesity? A population-based study. Eur J Nutr. 1–11

Oike H, Oishi K, Kobori M (2014) Nutrients clock genes, and chrononutrition. Curr Nutr Rep 3:204–212

Article  CAS  PubMed  PubMed Central  Google Scholar 

Panda S (2016) Circadian physiology of metabolism. Science 354(6315):1008–1015

Article  CAS  PubMed  PubMed Central  Google Scholar 

Morgan L, Hampton S, Gibbs M, Arendt J (2003) Circadian aspects of postprandial metabolism. Chronobiol Int 20(5):795–808

Article  CAS  PubMed  Google Scholar 

Bonham MP, Kaias E, Zimberg I, Leung GK, Davis R, Sletten TL et al (2019) Effect of night time eating on postprandial triglyceride metabolism in healthy adults: a systematic literature review. J Biol Rhythms 34(2):119–130

Article  PubMed  Google Scholar 

Rani R, Dharaiya CN, Singh B (2021) Importance of not skipping breakfast: A review. Int J Food Sci Technol 56(1):28–38

Article  CAS  Google Scholar 

Teixeira GP, Guimarães KC, Soares AGNS, Marqueze EC, Moreno CRC, Mota MC, Crispim CA (2022) Role of chronotype in dietary intake, meal timing, and obesity: a systematic review. Nutr Rev 81(1):75–90

Article  PubMed  Google Scholar 

Bonaccio M, Ruggiero E, Di Castelnuovo A, Martínez CF, Esposito S, Costanzo S et al (2023) Association between Late-Eating pattern and higher consumption of Ultra-Processed food among Italian adults: findings from the INHES study. Nutrients 15(6):1497

Article  CAS  PubMed  PubMed Central  Google Scholar 

Instituto Brasileiro de Geografia e Estatística (2019) Pesquisa de Orçamentos familiares: Primeiros resultados: 2017–2018. IBGE, Rio de Janeiro

Google Scholar 

Conway JM, Ingwersen LA, Vinyard BT, Moshfegh AJ (2003) Effectiveness of the US department of agriculture 5-step multiple-pass method in assessing food intake in obese and Nonobese women. Am J Clin Nutr 77(5):1171–1178. https://doi.org/10.1093/ajcn/77.5.1171

Article  CAS  PubMed  Google Scholar 

Instituto Brasileiro de Geografia e Estatística (2020) Diretoria de Pesquisas, coordenação de Trabalho e rendimento. Pesquisa de Orçamentos familiares 2017–2018: análise do Consumo alimentar pessoal no Brasil. IBGE, Rio de Janeiro

Google Scholar 

Brazilian Table of Food Composition (TBCA). University of São Paulo (USP). Food Research Center (FoRC). Version 7.2. São Paulo: USP (2023) Available at: http://www.fcf.usp.br/tbca. [Accessed on: December 27, 2024]

International Network of Food Data Systems (INFOODS) (2012) Guidelines for food matching. Version 1.2. Food and Agriculture Organization - FAO, Rome, p 26

Google Scholar 

International Network of Food Data Systems (INFOODS) (2019) Standards and guidelines. Food and Agriculture Organization - FAO, Rome

Google Scholar 

Gill S, Panda S (2015) A smartphone app reveals erratic diurnal eating patterns in humans that can be modulated for health benefits. Cell Metab 22:789–798

Article  CAS  PubMed  PubMed Central  Google Scholar 

Loy SL, Wee PH, Colega MT, Cheung YB, Aris IM, Chan JKY et al (2017) Maternal night-fasting interval during pregnancy is directly associated with neonatal head circumference and adiposity in girls but not boys. J Nutr 147(7):1384–1391

Article  CAS  PubMed  PubMed Central  Google Scholar 

De Castro JM (2004) The time of day of food intake influences overall intake in humans. J Nutr 134(1):104–111

Article  CAS  PubMed  Google Scholar 

Teixeira GP et al (2020) The association between chronotype, food craving and weight gain in pregnant women. J Hum Nutr Diet 33(3):342–350

Article  CAS  PubMed  Google Scholar 

Bonnell EK et al (2017) Influences on dietary choices during day versus night shift in shift workers: a mixed methods study. Nutrients 9(3):193

Article  PubMed  PubMed Central  Google Scholar 

Matsui K et al (2021) A Cross-Sectional study of evening hyperphagia and nocturnal ingestion: core constituents of night eating syndrome with different background factors. Nutrients 13(11):4179

Article  PubMed  PubMed Central  Google Scholar 

Klinenberg E (2016) Social isolation, loneliness, and living alone: identifying the risks for public health. Am J Public Health 106:786–787. https://doi.org/10.2105/AJPH.2016.303166

Article  PubMed  PubMed Central  Google Scholar 

Cummins S, Macintyre S (2006) Food environments and obesity—neighbourhood or nation? Int J Epidemiol 35(1):100–104

Article  PubMed  Google Scholar 

de Oliveira MF, Martins CA, Ribeiro de Castro IR (2022) The (scarce and circumscribed) culinary content in food-based dietary guidelines around the world: 1991–2021. Public Health Nutr 25(12):3559–3567

Article  Google Scholar 

Adam TC, Epel ES (2007) Stress, eating and the reward system. Physiol Behav 91(4):449–458

Article  CAS  PubMed  Google Scholar 

Burns RJ, Rothman AJ (2015) Offering variety: A subtle manipulation to promote healthy food choice throughout the day. Health Psychol 34(5):566

Article  PubMed  Google Scholar 

Lukomskyj N et al (2021) Associations between breakfast consumption from childhood to adulthood and cardiometabolic health: A systematic review. Nutr Dietetics 78(1):6–23

Article  Google Scholar 

de Sousa JR et al (2019) Nutritional quality of breakfast consumed by the low-income population in Brazil: A nationwide cross-sectional survey. Nutrients 11(6):1418

Article  PubMed  PubMed Central  Google Scholar 

Teixeira GP, Barreto ACF, Mota MC, Crispim CA (2019) Caloric midpoint is associated with total calorie and macronutrient intake and body mass index in undergraduate students. Chronobiol Int 36(10):1418–1428

Article  CAS  PubMed  Google Scholar 

Gontijo CA et al (2020) Higher energy intake at night effects daily energy distribution and contributes to excessive weight gain during pregnancy. Nutrition 74:110756

Article  CAS  PubMed  Google Scholar 

da Cunha NB, Teixeira GP, Rinaldi AEM, Azeredo CM, Crispim CA (2023) 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 42(9):1798–1805