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Wing, R. R., & Jeffery, R. W. (1999). Benefits of recruiting participants with friends and increasing social support for weight loss and maintenance. Journal of consulting and clinical psychology, 67(1), 132–138. https://doi.org/10.1037//0022-006x.67.1.132 


Monteiro, C. A., Cannon, G., Levy, R. B., Moubarac, J. C., Louzada, M. L., Rauber, F., Khandpur, N., Cediel, G., Neri, D., Martinez-Steele, E., Baraldi, L. G., & Jaime, P. C. (2019). Ultra-processed foods: what they are and how to identify them. Public health nutrition, 22(5), 936–941. https://doi.org/10.1017/S1368980018003762


Volkow, N. D., Wang, G. J., & Baler, R. D. (2011). Reward, dopamine and the control of food intake: implications for obesity. Trends in cognitive sciences, 15(1), 37–46. https://doi.org/10.1016/j.tics.2010.11.001 

Gearhardt, A. N., & DiFeliceantonio, A. G. (2023). Highly processed foods can be considered addictive substances based on established scientific criteria. Addiction (Abingdon, England), 118(4), 589–598. https://doi.org/10.1111/add.16065 


GBD 2017 Diet Collaborators (2019). Health effects of dietary risks in 195 countries, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet (London, England), 393(10184), 1958–1972. https://doi.org/10.1016/S0140-6736(19)30041-8 


Budak, Amanda & Thomas, Suzanne. (2009). Food Craving as a Predictor of “Relapse” in the Bariatric Surgery Population: A Review with Suggestions. Bariatric Nursing and Surgical Patient Care - BARIATR NURS SURG PATIENT CAR. 4. 115-121. 10.1089/bar.2009.9979. 


Joyner, M. A., Gearhardt, A. N., & White, M. A. (2015). Food craving as a mediator between addictive-like eating and problematic eating outcomes. Eating behaviors, 19, 98–101. https://doi.org/10.1016/j.eatbeh.2015.07.005 


Feig, E. H., Piers, A. D., Kral, T. V. E., & Lowe, M. R. (2018). Eating in the absence of hunger is related to loss-of-control eating, hedonic hunger, and short-term weight gain in normal-weight women. Appetite, 123, 317–324. https://doi.org/10.1016/j.appet.2018.01.013 


Ayton, A., Ibrahim, A., Dugan, J., Galvin, E., & Wright, O. W. (2021). Ultra-processed foods and binge eating: A retrospective observational study. Nutrition (Burbank, Los Angeles County, Calif.), 84, 111023. https://doi.org/10.1016/j.nut.2020.111023 


Marques, A., Marconcin, P., Werneck, A. O., Ferrari, G., Gouveia, É. R., Kliegel, M., Peralta, M., & Ihle, A. (2021). Bidirectional Association between Physical Activity and Dopamine Across Adulthood-A Systematic Review. Brain sciences, 11(7), 829. https://doi.org/10.3390/brainsci11070829 


de la Monte, S. M., & Wands, J. R. (2005). Review of insulin and insulin-like growth factor expression, signaling, and malfunction in the central nervous system: relevance to Alzheimer's disease. Journal of Alzheimer's disease : JAD, 7(1), 45–61. https://doi.org/10.3233/jad-2005-7106 


Ogiso, K., Shayo, S. C., Kawade, S., Hashiguchi, H., Deguchi, T., & Nishio, Y. (2022). Repeated glucose spikes and insulin resistance synergistically deteriorate endothelial function and bardoxolone methyl ameliorates endothelial dysfunction. PloS one, 17(1), e0263080. https://doi.org/10.1371/journal.pone.0263080 


Patterson, E., Wall, R., Fitzgerald, G. F., Ross, R. P., & Stanton, C. (2012). Health implications of high dietary omega-6 polyunsaturated Fatty acids. Journal of nutrition and metabolism, 2012, 539426. https://doi.rg/10.1155/2012/539426 

Temple N. J. (2022). The Origins of the Obesity Epidemic in the USA-Lessons for Today. Nutrients, 14(20), 4253. https://doi.org/10.3390/nu14204253 


Liu, Y., Liu, F., Zhang, L., Li, J., Kang, W., Cao, M., Song, F., & Song, F. (2021). Association between low density lipoprotein cholesterol and all-cause mortality: results from the NHANES 1999-2014. Scientific reports, 11(1), 22111. https://doi.org/10.1038/s41598-021-01738-w

Johnson, G. H., & Fritsche, K. (2012). Effect of dietary linoleic acid on markers of inflammation in healthy persons: a systematic review of randomized controlled trials. Journal of the Academy of Nutrition and Dietetics, 112(7), 1029–1041.e10415. https://doi.org/10.1016/j.jand.2012.03.029


Fitó, M., Guxens, M., Corella, D., Sáez, G., Estruch, R., de la Torre, R., Francés, F., Cabezas, C., López-Sabater, M. D. C., Marrugat, J., García-Arellano, A., Arós, F., Ruiz-Gutierrez, V., Ros, E., Salas-Salvadó, J., Fiol, M., Solá, R., Covas, M. I., & PREDIMED Study Investigators (2007). Effect of a traditional Mediterranean diet on lipoprotein oxidation: a randomized controlled trial. Archives of internal medicine, 167(11), 1195–1203. https://doi.org/10.1001/archinte.167.11.1195


DiNicolantonio, J. J., & O'Keefe, J. H. (2018). Omega-6 vegetable oils as a driver of coronary heart disease: the oxidized linoleic acid hypothesis. Open heart, 5(2), e000898. https://doi.org/10.1136/openhrt-2018-000898 


Dobarganes, C., & Márquez-Ruiz, G. (2015). Possible adverse effects of frying with vegetable oils. The British journal of nutrition, 113 Suppl 2, S49–S57. https://doi.org/10.1017/S0007114514002347 


Wycherley, T. P., Moran, L. J., Clifton, P. M., Noakes, M., & Brinkworth, G. D. (2012). Effects of energy-restricted high-protein, low-fat compared with standard-protein, low-fat diets: a meta-analysis of randomized controlled trials. The American journal of clinical nutrition, 96(6), 1281–1298. https://doi.org/10.3945/ajcn.112.044321 


Hall K. D. (2019). The Potential Role of Protein Leverage in the US Obesity Epidemic. Obesity (Silver Spring, Md.), 27(8), 1222–1224. https://doi.org/10.1002/oby.22520 


Beasley, J. M., Aragaki, A. K., LaCroix, A. Z., Neuhouser, M. L., Tinker, L. F., Cauley, J. A., Ensrud, K. E., Jackson, R. D., & Prentice, R. L. (2011). Higher biomarker-calibrated protein intake is not associated with impaired renal function in postmenopausal women. The Journal of nutrition, 141(8), 1502–1507. https://doi.org/10.3945/jn.110.135814 


Mamerow, M. M., Mettler, J. A., English, K. L., Casperson, S. L., Arentson-Lantz, E., Sheffield-Moore, M., Layman, D. K., & Paddon-Jones, D. (2014). Dietary protein distribution positively influences 24-h muscle protein synthesis in healthy adults. The Journal of nutrition, 144(6), 876–880. https://doi.org/10.3945/jn.113.185280 


Aoyama, S., Kim, H. K., Hirooka, R., Tanaka, M., Shimoda, T., Chijiki, H., Kojima, S., Sasaki, K., Takahashi, K., Makino, S., Takizawa, M., Takahashi, M., Tahara, Y., Shimba, S., Shinohara, K., & Shibata, S. (2021). Distribution of dietary protein intake in daily meals influences skeletal muscle hypertrophy via the muscle clock. Cell reports, 36(1), 109336. https://doi.org/10.1016/j.celrep.2021.109336 

Touvier, M., da Costa Louzada, M. L., Mozaffarian, D., Baker, P., Juul, F., & Srour, B. (2023). Ultra-processed foods and cardiometabolic health: public health policies to reduce consumption cannot wait. BMJ (Clinical research ed.), 383, e075294. https://doi.org/10.1136/bmj-2023-075294 


Yang Q. (2010). Gain weight by "going diet?" Artificial sweeteners and the neurobiology of sugar cravings: Neuroscience 2010. The Yale journal of biology and medicine, 83(2), 101–108. 


Bes-Rastrollo, M., Schulze, M. B., Ruiz-Canela, M., & Martinez-Gonzalez, M. A. (2013). Financial conflicts of interest and reporting bias regarding the association between sugar-sweetened beverages and weight gain: a systematic review of systematic reviews. PLoS medicine, 10(12), e1001578. https://doi.org/10.1371/journal.pmed.1001578 


Romo-Romo, A., Aguilar-Salinas, C. A., Brito-Córdova, G. X., Gómez-Díaz, R. A., & Almeda-Valdes, P. (2018). Sucralose decreases insulin sensitivity in healthy subjects: a randomized controlled trial. The American journal of clinical nutrition, 108(3), 485–491. https://doi.org/10.1093/ajcn/nqy152 


Miller, P. E., & Perez, V. (2014). Low-calorie sweeteners and body weight and composition: a meta-analysis of randomized controlled trials and prospective cohort studies. The American journal of clinical nutrition, 100(3), 765–777. https://doi.org/10.3945/ajcn.113.082826 


Le Roy, T., & Clément, K. (2022). Bittersweet: artificial sweeteners and the gut microbiome. Nature medicine, 28(11), 2259–2260. https://doi.org/10.1038/s41591-022-02063-z 


Green, E., & Murphy, C. (2012). Altered processing of sweet taste in the brain of diet soda drinkers. Physiology & behavior, 107(4), 560–567. https://doi.org/10.1016/j.physbeh.2012.05.006 


Fazzino, T. L., Jun, D., Chollet-Hinton, L., & Bjorlie, K. (2024). US tobacco companies selectively disseminated hyper-palatable foods into the US food system: Empirical evidence and current implications. Addiction (Abingdon, England), 119(1), 62–71. https://doi.org/10.1111/add.16332 


Fagerberg, P., Langlet, B., Oravsky, A., Sandborg, J., Löf, M., & Ioakimidis, I. (2019). Ultra-processed food advertisements dominate the food advertising landscape in two Stockholm areas with low vs high socioeconomic status. Is it time for regulatory action?. BMC public health, 19(1), 1717. https://doi.org/10.1186/s12889-019-8090-5 


Labrecque, L.I., Milne, G.R. Exciting red and competent blue: the importance of color in marketing. J. of the Acad. Mark. Sci. 40, 711–727 (2012). https://doi.org/10.1007/s11747-010-0245-y 


Tan Z, Sadiq B, Bashir T, Mahmood H, Rasool Y. Investigating the Impact of Green Marketing Components on Purchase Intention: The Mediating Role of Brand Image and Brand Trust. Sustainability. 2022; 14(10):5939. https://doi.org/10.3390/su14105939 


Zaccaro, A., Piarulli, A., Laurino, M., Garbella, E., Menicucci, D., Neri, B., & Gemignani, A. (2018). How Breath-Control Can Change Your Life: A Systematic Review on Psycho-Physiological Correlates of Slow Breathing. Frontiers in human neuroscience, 12, 353. https://doi.org/10.3389/fnhum.2018.00353 


Toussaint, L., Nguyen, Q. A., Roettger, C., Dixon, K., Offenbächer, M., Kohls, N., Hirsch, J., & Sirois, F. (2021). Effectiveness of Progressive Muscle Relaxation, Deep Breathing, and Guided Imagery in Promoting Psychological and Physiological States of Relaxation. Evidence-based complementary and alternative medicine : eCAM, 2021, 5924040. https://doi.org/10.1155/2021/5924040 


Hall, K. D., Ayuketah, A., Brychta, R., Cai, H., Cassimatis, T., Chen, K. Y., Chung, S. T., Costa, E., Courville, A., Darcey, V., Fletcher, L. A., Forde, C. G., Gharib, A. M., Guo, J., Howard, R., Joseph, P. V., McGehee, S., Ouwerkerk, R., Raisinger, K., Rozga, I., … 


Zhou, M. (2019). Ultra-Processed Diets Cause Excess Calorie Intake and Weight Gain: An Inpatient Randomized Controlled Trial of Ad Libitum Food Intake. Cell metabolism, 30(1), 67–77.e3. https://doi.org/10.1016/j.cmet.2019.05.008 


Shuster, A., Patlas, M., Pinthus, J. H., & Mourtzakis, M. (2012). The clinical importance of visceral adiposity: a critical review of methods for visceral adipose tissue analysis. The British journal of radiology, 85(1009), 1–10. https://doi.org/10.1259/bjr/38447238 


Touvier, M., da Costa Louzada, M. L., Mozaffarian, D., Baker, P., Juul, F., & Srour, B. (2023). Ultra-processed foods and cardiometabolic health: public health policies to reduce consumption cannot wait. BMJ (Clinical research ed.), 383, e075294. https://doi.org/10.1136/bmj-2023-075294 


Srour, B., Fezeu, L. K., Kesse-Guyot, E., Allès, B., Debras, C., Druesne-Pecollo, N., Chazelas, E., Deschasaux, M., Hercberg, S., Galan, P., Monteiro, C. A., Julia, C., & Touvier, M. (2020). Ultraprocessed Food Consumption and Risk of Type 2 Diabetes Among Participants of the NutriNet-Santé Prospective Cohort. JAMA internal medicine, 180(2), 283–291. https://doi.org/10.1001/jamainternmed.2019.5942 


Scaranni, P. O. D. S., Cardoso, L. O., Chor, D., Melo, E. C. P., Matos, S. M. A., Giatti, L., Barreto, S. M., & da Fonseca, M. J. M. (2021). Ultra-processed foods, changes in blood pressure and incidence of hypertension: the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Public health nutrition, 24(11), 3352–3360. https://doi.org/10.1017/S136898002100094X 


Srour, B., Fezeu, L. K., Kesse-Guyot, E., Allès, B., Méjean, C., Andrianasolo, R. M., Chazelas, E., Deschasaux, M., Hercberg, S., Galan, P., Monteiro, C. A., Julia, C., & Touvier, M. (2019). Ultra-processed food intake and risk of cardiovascular disease: prospective cohort study (NutriNet-Santé). BMJ (Clinical research ed.), 365, l1451. https://doi.org/10.1136/bmj.l1451 


Chang, K., Gunter, M. J., Rauber, F., Levy, R. B., Huybrechts, I., Kliemann, N., Millett, C., & Vamos, E. P. (2023). Ultra-processed food consumption, cancer risk and cancer mortality: a large-scale prospective analysis within the UK Biobank. EClinicalMedicine, 56, 101840. https://doi.org/10.1016/j.eclinm.2023.101840 


McKeown, N. M., Fahey, G. C., Jr, Slavin, J., & van der Kamp, J. W. (2022). Fibre intake for optimal health: how can healthcare professionals support people to reach dietary recommendations?. BMJ (Clinical research ed.), 378, e054370. https://doi.org/10.1136/bmj-2020-054370 


Martínez Leo, E. E., & Segura Campos, M. R. (2020). Effect of ultra-processed diet on gut microbiota and thus its role in neurodegenerative diseases. Nutrition (Burbank, Los Angeles County, Calif.), 71, 110609. https://doi.org/10.1016/j.nut.2019.110609 


Vissers, E., Wellens, J., & Sabino, J. (2022). Ultra-processed foods as a possible culprit for the rising prevalence of inflammatory bowel diseases. Frontiers in medicine, 9, 1058373. https://doi.org/10.3389/fmed.2022.1058373 


Tristan Asensi M, Napoletano A, Sofi F, Dinu M. Low-Grade Inflammation and Ultra-Processed Foods Consumption: A Review. Nutrients. 2023; 15(6):1546. https://doi.org/10.3390/nu15061546 


Lopez-Garcia, E., Schulze, M. B., Fung, T. T., Meigs, J. B., Rifai, N., Manson, J. E., & Hu, F. B. (2004). Major dietary patterns are related to plasma concentrations of markers of inflammation and endothelial dysfunction. The American journal of clinical nutrition, 80(4), 1029–1035. https://doi.org/10.1093/ajcn/80.4.1029 


Li, J., Lee, D. H., Hu, J., Tabung, F. K., Li, Y., Bhupathiraju, S. N., Rimm, E. B., Rexrode, K. M., Manson, J. E., Willett, W. C., Giovannucci, E. L., & Hu, F. B. (2020). Dietary Inflammatory Potential and Risk of Cardiovascular Disease Among Men and Women in the U.S. Journal of the American College of Cardiology, 76(19), 2181–2193. https://doi.org/10.1016/j.jacc.2020.09.535 


Murray, M., Barlow, C. K., Blundell, S., Buecking, M., Gibbon, A., Goeckener, B., Kaminskas, L. M., Leitner, P., Selby-Pham, S., Sinclair, A., Waktola, H. D., Williamson, G., & Bennett, L. E. (2023). Demonstrating a link between diet, gut microbiota and brain: 14C radioactivity identified in the brain following gut microbial fermentation of 14C-radiolabeled tyrosine in a pig model. Frontiers in nutrition, 10, 1127729. https://doi.org/10.3389/fnut.2023.1127729 


Appleton J. (2018). The Gut-Brain Axis: Influence of Microbiota on Mood and Mental Health. Integrative medicine (Encinitas, Calif.), 17(4), 28–32. 


Suksatan W, Moradi S, Naeini F, Bagheri R, Mohammadi H, Talebi S, Mehrabani S, Hojjati Kermani Ma, Suzuki K. Ultra-Processed Food Consumption and Adult Mortality Risk: A Systematic Review and Dose–Response Meta-Analysis of 207,291 Participants. Nutrients. 2022; 14(1):174. https://doi.org/10.3390/nu14010174 


Welsh, C. E., Matthews, F. E., & Jagger, C. (2021). Trends in life expectancy and healthy life years at birth and age 65 in the UK, 2008-2016, and other countries of the EU28: An observational cross-sectional study. The Lancet regional health. Europe, 2, 100023. https://doi.org/10.1016/j.lanepe.2020.100023 


Rico-Campà, A., Martínez-González, M. A., Alvarez-Alvarez, I., Mendonça, R. D., de la Fuente-Arrillaga, C., Gómez-Donoso, C., & Bes-Rastrollo, M. (2019). Association between consumption of ultra-processed foods and all cause mortality: SUN prospective cohort study. BMJ (Clinical research ed.), 365, l1949. https://doi.org/10.1136/bmj.l1949 


Rauber, F., Louzada, M. L. D. C., Martinez Steele, E., Rezende, L. F. M., Millett, C., Monteiro, C. A., & Levy, R. B. (2019). Ultra-processed foods and excessive free sugar intake in the UK: a nationally representative cross-sectional study. BMJ open, 9(10), e027546. https://doi.org/10.1136/bmjopen-2018-027546 


Li, W., Ma, L., Yang, G., & Gan, W. B. (2017). REM sleep selectively prunes and maintains new synapses in development and learning. Nature neuroscience, 20(3), 427–437. https://doi.org/10.1038/nn.4479 


Xie, L., Kang, H., Xu, Q., Chen, M. J., Liao, Y., Thiyagarajan, M., O'Donnell, J., Christensen, D. J., Nicholson, C., Iliff, J. J., Takano, T., Deane, R., & Nedergaard, M. (2013). Sleep drives metabolite clearance from the adult brain. Science (New York, N.Y.), 342(6156), 373–377. https://doi.org/10.1126/science.1241224 


Rahmani, M., Rahmani, F., & Rezaei, N. (2020). The Brain-Derived Neurotrophic Factor: Missing Link Between Sleep Deprivation, Insomnia, and Depression. Neurochemical research, 45(2), 221–231. https://doi.org/10.1007/s11064-019-02914-1 


Thomée, S., Härenstam, A., & Hagberg, M. (2012). Computer use and stress, sleep disturbances, and symptoms of depression among young adults--a prospective cohort study. BMC psychiatry, 12, 176. https://doi.org/10.1186/1471-244X-12-176 


Milton, K., Gomersall, S. R., & Schipperijn, J. (2023). Let's get moving: The Global Status Report on Physical Activity 2022 calls for urgent action. Journal of sport and health science, 12(1), 5–6. https://doi.org/10.1016/j.jshs.2022.12.006 


Choi, K. W., Zheutlin, A. B., Karlson, R. A., Wang, M. J., Dunn, E. C., Stein, M. B., Karlson, E. W., & Smoller, J. W. (2020). Physical activity offsets genetic risk for incident depression assessed via electronic health records in a biobank cohort study. Depression and anxiety, 37(2), 106–114. https://doi.org/10.1002/da.22967 


Russell, S. J., Croker, H., & Viner, R. M. (2019). The effect of screen advertising on children's dietary intake: A systematic review and meta-analysis. Obesity reviews : an official journal of the International Association for the Study of Obesity, 20(4), 554–568. https://doi.org/10.1111/obr.12812 


Yau, A., Berger, N., Law, C., Cornelsen, L., Greener, R., Adams, J., Boyland, E. J., Burgoine, T., de Vocht, F., Egan, M., Er, V., Lake, A. A., Lock, K., Mytton, O., Petticrew, M., Thompson, C., White, M., & Cummins, S. (2022). Changes in household food and drink purchases following restrictions on the advertisement of high fat, salt, and sugar products across the Transport for London network: A controlled interrupted time series analysis. PLoS medicine, 19(2), e1003915. https://doi.org/10.1371/journal.pmed.1003915 


Appel, G., Grewal, L., Hadi, R. et al. The future of social media in marketing. J. of the Acad. Mark. Sci. 48, 79–95 (2020). https://doi.org/10.1007/s11747-019-00695-1 


Christopher A. Summers, Robert W. Smith, Rebecca Walker Reczek, An Audience of One: Behaviorally Targeted Ads as Implied Social Labels, Journal of Consumer Research, Volume 43, Issue 1, June 2016, Pages 156–178, https://doi.org/10.1093/jcr/ucw012 


Silvestrini, M. M., Smith, N. W., & Sarti, F. M. (2023). Evolution of global food trade network and its effects on population nutritional status. Current research in food science, 6, 100517. https://doi.org/10.1016/j.crfs.2023.100517 


Brownell, K. D., & Warner, K. E. (2009). The perils of ignoring history: Big Tobacco played dirty and millions died. How similar is Big Food?. The Milbank quarterly, 87(1), 259–294. https://doi.org/10.1111/j.1468-0009.2009.00555.x 


Serodio, P., Ruskin, G., McKee, M., & Stuckler, D. (2020). Evaluating Coca-Cola's attempts to influence public health 'in their own words': analysis of Coca-Cola emails with public health academics leading the Global Energy Balance Network. Public health nutrition, 23(14), 2647–2653. https://doi.org/10.1017/S1368980020002098 


Mialon, M., Serodio, P. M., Crosbie, E., Teicholz, N., Naik, A., & Carriedo, A. (2022). Conflicts of interest for members of the US 2020 dietary guidelines advisory committee. Public health nutrition, 27(1), e69. https://doi.org/10.1017/S1368980022000672 


Cheval, B., Tipura, E., Burra, N., Frossard, J., Chanal, J., Orsholits, D., Radel, R., & Boisgontier, M. P. (2018). Avoiding sedentary behaviors requires more cortical resources than avoiding physical activity: An EEG study. Neuropsychologia, 119, 68–80. https://doi.org/10.1016/j.neuropsychologia.2018.07.029 


Cotman, C. W., & Berchtold, N. C. (2002). Exercise: a behavioral intervention to enhance brain health and plasticity. Trends in neurosciences, 25(6), 295–301. https://doi.org/10.1016/s0166-2236(02)02143-4 


Chekroud, S. R., Gueorguieva, R., Zheutlin, A. B., Paulus, M., Krumholz, H. M., Krystal, J. H., & Chekroud, A. M. (2018). Association between physical exercise and mental health in 1·2 million individuals in the USA between 2011 and 2015: a cross-sectional study. The lancet. Psychiatry, 5(9), 739–746. https://doi.org/10.1016/S2215-0366(18)30227-X 


Anton, S. D., Moehl, K., Donahoo, W. T., Marosi, K., Lee, S. A., Mainous, A. G., 3rd, Leeuwenburgh, C., & Mattson, M. P. (2018). Flipping the Metabolic Switch: Understanding and Applying the Health Benefits of Fasting. Obesity (Silver Spring, Md.), 26(2), 254–268. https://doi.org/10.1002/oby.22065 


Varady, K. A., Cienfuegos, S., Ezpeleta, M., & Gabel, K. (2021). Cardiometabolic Benefits of Intermittent Fasting. Annual review of nutrition, 41, 333–361. https://doi.org/10.1146/annurev-nutr-052020-041327 


Ojo, T. K., Joshua, O. O., Ogedegbe, O. J., Oluwole, O., Ademidun, A., & Jesuyajolu, D. (2022). Role of Intermittent Fasting in the Management of Prediabetes and Type 2 Diabetes Mellitus. Cureus, 14(9), e28800. https://doi.org/10.7759/cureus.28800 


Larrick, J. W., Mendelsohn, A. R., & Larrick, J. W. (2021). Beneficial Gut Microbiome Remodeled During Intermittent Fasting in Humans. Rejuvenation research, 24(3), 234–237. https://doi.org/10.1089/rej.2021.0025 


Lilja S, Stoll C, Krammer U, Hippe B, Duszka K, Debebe T, Höfinger I, König J, Pointner A, Haslberger A. Five Days Periodic Fasting Elevates Levels of Longevity Related Christensenella and Sirtuin Expression in Humans. International Journal of Molecular Sciences. 2021; 22(5):2331. https://doi.org/10.3390/ijms22052331 


Bagherniya, M., Butler, A. E., Barreto, G. E., & Sahebkar, A. (2018). The effect of fasting or calorie restriction on autophagy induction: A review of the literature. Ageing research reviews, 47, 183–197. https://doi.org/10.1016/j.arr.2018.08.004 


Jakubowicz, D., Barnea, M., Wainstein, J., & Froy, O. (2013). High caloric intake at breakfast vs. dinner differentially influences weight loss of overweight and obese women. Obesity (Silver Spring, Md.), 21(12), 2504–2512. https://doi.org/10.1002/oby.20460 


Enriquez, J. P., & Gollub, E. (2023). Snacking Consumption among Adults in the United States: A Scoping Review. Nutrients, 15(7), 1596. https://doi.org/10.3390/nu15071596 


Wang, X., Hu, Y., Qin, L. Q., & Dong, J. Y. (2022). Meal frequency and incidence of type 2 diabetes: a prospective study. The British journal of nutrition, 128(2), 273–278. https://doi.org/10.1017/S0007114521003226 


Gatto, N. M., Martinez, L. C., Spruijt-Metz, D., & Davis, J. N. (2017). LA sprouts randomized controlled nutrition, cooking and gardening programme reduces obesity and metabolic risk in Hispanic/Latino youth. Pediatric obesity, 12(1), 28–37. https://doi.org/10.1111/ijpo.12102 


Mialon, M., Serodio, P. M., Crosbie, E., Teicholz, N., Naik, A., & Carriedo, A. (2022). Conflicts of interest for members of the US 2020 dietary guidelines advisory committee. Public health nutrition, 27(1), e69. https://doi.org/10.1017/S1368980022000672

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