Monzani, A. et al. A systematic review of the association of skipping breakfast with weight and cardiometabolic risk factors in children and adolescents. What should we better investigate in the future? Nutrients 11, 387 (2019).
Pengpid, S. & Peltzer, K. Skipping breakfast and its association with health risk behaviour and mental health among university students in 28 countries. Diabetes Metabolic Syndrome Obes., 2889–2897 (2020).
Linde, J. A., Rothman, A. J., Baldwin, A. S. & Jeffery, R. W. The impact of self-efficacy on behavior change and weight change among overweight participants in a weight loss trial. Health Psychol. 25, 282 (2006).
Google Scholar
Perna, S. et al. Two, six, and Twelve-Month dropout rate and predictor factors after a multidisciplinary residential program for obesity treatment. A prospective cohort study. Front. Nutr. 9, 851802. (2022).
Google Scholar
Richardson, K. M., Saleh, A. A., Jospe, M. R., Liao, Y. & Schembre, S. M. Using biological feedback to promote health behavior change in adults: protocol for a scoping review. Jmir Res. Protoc. 11, e32579 (2022).
Google Scholar
Prochaska, J. O., Norcross, J. C., Fowler, J. L., Follick, M. J. & Abrams, D. B. Attendance and outcome in a work site weight control program: processes and stages of change as process and predictor variables. Addict. Behav. 17, 35–45 (1992).
Google Scholar
Prochaska, J. O. & Velicer, W. F. The transtheoretical model of health behavior change. Am. J. Health Promotion. 12, 38–48 (1997).
Google Scholar
DiClemente, C. C., Marinilli, A. S., Singh, M. & Bellino, L. E. The role of feedback in the process of health behavior change. Am. J. Health Behav. 25, 217–227 (2001).
Google Scholar
Collins, A. & Koechlin, E. Reasoning, learning, and creativity: frontal lobe function and human decision-making. PLoS Biol. 10, e1001293. (2012).
Google Scholar
Burgess, P. W. Strategy application disorder: the role of the frontal lobes in human multitasking. Psychol. Res. 63, 279–288 (2000).
Google Scholar
Burgess, P. W., Dumontheil, I. & Gilbert, S. J. The gateway hypothesis of rostral prefrontal cortex (area 10) function. Trends Cogn. Sci. 11, 290–298. (2007).
Google Scholar
Burgess, P. W., Scott, S. K. & Frith, C. D. The role of the rostral frontal cortex (area 10) in prospective memory: a lateral versus medial dissociation. Neuropsychologia 41, 906–918 (2003).
Google Scholar
Okuda, J. et al. Differential involvement of regions of rostral prefrontal cortex (Brodmann area 10) in time-and event-based prospective memory. Int. J. Psychophysiol. 64, 233–246 (2007).
Google Scholar
Boorman, E. D., Behrens, T. E., Woolrich, M. W. & Rushworth, M. F. How green is the grass on the other side? Frontopolar cortex and the evidence in favor of alternative courses of action. Neuron 62, 733–743. (2009).
Google Scholar
Burke, C. J., Brünger, C., Kahnt, T., Park, S. Q. & Tobler, P. N. Neural integration of risk and effort costs by the frontal pole: only upon request. J. Neurosci. 33, 1706–1713 (2013).
Google Scholar
Daw, N. D., O’doherty, J. P., Dayan, P., Seymour, B. & Dolan, R. J. Cortical substrates for exploratory decisions in humans. Nature 441, 876–879 (2006).
Google Scholar
Sakai, K. & Passingham, R. E. Prefrontal interactions reflect future task operations. Nat. Neurosci. 6, 75–81 (2003).
Google Scholar
Qiu, L. et al. The neural system of metacognition accompanying decision-making in the prefrontal cortex. PLoS Biol. 16, e2004037 (2018).
Google Scholar
Hosoda, C. et al. Plastic frontal pole cortex structure related to individual persistence for goal achievement. Commun. Biol. 3, 194. (2020).
Google Scholar
Tashjian, S. M. & Galvan, A. Frontopolar cortex response to positive feedback relates to nonincentivized task persistence. Cereb. Cortex. 32, 2293–2309. (2022).
Google Scholar
Mansouri, F. A., Koechlin, E., Rosa, M. G. P. & Buckley, M. J. Managing competing goals – a key role for the frontopolar cortex. Nat. Rev. Neurosci. 18, 645–657. (2017).
Google Scholar
Soutschek, A., Kang, P., Ruff, C. C., Hare, T. A. & Tobler, P. N. Brain stimulation over the frontopolar cortex enhances motivation to exert effort for reward. Biol. Psychiatry. 84, 38–45. (2018).
Google Scholar
He, Q. et al. Poor ability to resist tempting calorie rich food is linked to altered balance between neural systems involved in urge and self-control. Nutr. J. 13, 1–12 (2014).
Google Scholar
Alkhatatbeh, M. J., Khwaileh, H. N. & Abdul-Razzak, K. K. High prevalence of low dairy calcium intake and association with insomnia, anxiety, depression and musculoskeletal pain in university students from Jordan. Public Health. Nutr. 24, 1778–1786 (2021).
Google Scholar
Muscaritoli, M. The impact of nutrients on mental health and well-being: insights from the literature. Front. Nutr. 8, 656290 (2021).
Google Scholar
Ribeiro, C. Effects of oral vitamin C supplementation on anxiety in students: a doubleblind, randomized, placebo-controlled trial. Pak. J. Biol. Sci. 18, 11–18 (2015).
Chambers, J. A., Power, K. G. & Durham, R. C. The relationship between trait vulnerability and anxiety and depressive diagnoses at long-term follow-up of generalized anxiety disorder. J. Anxiety Disord. 18, 587–607 (2004).
Google Scholar
Spielberger, C. D., Gonzalez-Reigosa, F., Martinez-Urrutia, A., Natalicio, L. F. & Natalicio, D. S. The state-trait anxiety inventory. Revista Interamericana De Psicologia/Interamerican J. Psychol. 5 (1971).
Soutschek, A., Kang, P., Ruff, C. C., Hare, T. A. & Tobler, P. N. Brain stimulation over the frontopolar cortex enhances motivation to exert effort for reward. Biol. Psychiatry. 84, 38–45 (2018).
Google Scholar
Stawarczyk, D. & D’Argembeau, A. Neural correlates of personal goal processing during episodic future thinking and mind-wandering: an ALE meta‐analysis. Hum. Brain. Mapp. 36, 2928–2947 (2015).
Google Scholar
Tashjian, S. M. & Galván, A. Frontopolar cortex response to positive feedback relates to nonincentivized task persistence. Cereb. Cortex. 32, 2293–2309 (2022).
Google Scholar
Koechlin, E. & Hyafil, A. Anterior prefrontal function and the limits of human decision-making. Science 318, 594–598 (2007).
Google Scholar
Ramnani, N. & Owen, A. M. Anterior prefrontal cortex: insights into function from anatomy and neuroimaging. Nat. Rev. Neurosci. 5, 184–194 (2004).
Google Scholar
Johnson, F., Pratt, M. & Wardle, J. Dietary restraint and self-regulation in eating behavior. Int. J. Obes. 36, 665–674 (2012).
Google Scholar
Ariely, D. & Wertenbroch, K. Procrastination, deadlines, and performance: Self-control by precommitment. Psychol. Sci. 13, 219–224 (2002).
Google Scholar
Soutschek, A., Moisa, M., Ruff, C. C. & Tobler, P. N. Frontopolar theta oscillations link metacognition with prospective decision making. Nat. Commun. 12, 3943. (2021).
Google Scholar
Soutschek, A. & Tobler, P. N. Motivation for the greater good: neural mechanisms of overcoming costs. Curr. Opin. Behav. Sci. 22, 96–105 (2018).
Google Scholar
Crockett, M. J. et al. Restricting temptations: neural mechanisms of precommitment. Neuron 79, 391–401. (2013).
Google Scholar
Wang, J. et al. Transcranial direct current stimulation (tDCS) over the frontopolar cortex (FPC) alters the demand for precommitment. Behav. Brain. Res. 414, 113487 (2021).
Google Scholar
Forster, H., Walsh, M. C., Gibney, M. J., Brennan, L. & Gibney, E. R. Personalised nutrition: the role of new dietary assessment methods. Proc. Nutr. Soc. 75, 96–105 (2016).
Wang, H. & Lehman, J. D. Using achievement goal-based personalized motivational feedback to enhance online learning. Educ. Tech. Res. Dev. 69, 553–581 (2021).
Google Scholar
Boat, R. & Cooper, S. B. Self-control and exercise: a review of the bi-directional relationship. Brain Plast. 5, 97–104 (2019).
Google Scholar
Caso, D., Canova, L., Capasso, M. & Bianchi, M. Integrating the theory of planned behavior and the self-determination theory to promote mediterranean diet adherence: A randomized controlled trial. Appl. Psychology: Health Well-Being (2023).
Fitzpatrick, C. et al. Is the association between early childhood screen media use and effortful control bidirectional? A prospective study during the COVID-19 pandemic. Front. Psychol. 13, 918834 (2022).
Google Scholar
Fleming, S. M., Weil, R. S., Nagy, Z., Dolan, R. J. & Rees, G. Relating introspective accuracy to individual differences in brain structure. Science 329, 1541–1543 (2010).
Google Scholar
McCurdy, L. Y. et al. Anatomical coupling between distinct metacognitive systems for memory and visual perception. J. Neurosci. 33, 1897–1906 (2013).
Google Scholar
Celis-Morales, C. et al. Frequent nutritional feedback, personalized advice, and behavioral changes: findings from the European Food4Me Internet-Based RCT. Am. J. Prev. Med. 57, 209–219. (2019).
Google Scholar
Firth, J. et al. The effects of dietary improvement on symptoms of depression and anxiety: A Meta-Analysis of randomized controlled trials. Psychosom. Med. 81, 265–280. (2019).
Google Scholar
Alkhatatbeh, M. J., Khwaileh, H. N. & Abdul-Razzak, K. K. High prevalence of low dairy calcium intake and association with insomnia, anxiety, depression and musculoskeletal pain in university students from Jordan. Public. Health Nutr. 24, 1778–1786. (2021).
Google Scholar
Muscaritoli, M. The impact of nutrients on mental health and Well-Being: insights from the literature. Front. Nutr. 8, 656290. (2021).
Google Scholar
Du, C., Hsiao, P. Y., Ludy, M. J. & Tucker, R. M. Relationships between dairy and calcium intake and mental health measures of higher education students in the united States: outcomes from moderation analyses. Nutrients 14. (2022).
de Oliveira, I. J., de Souza, V. V., Motta, V. & Da-Silva, S. L. Effects of oral vitamin C supplementation on anxiety in students: A Double-Blind, randomized, Placebo-Controlled trial. Pak J. Biol. Sci. 18, 11–18. (2015).
Google Scholar
Aucoin, M. et al. Diet and anxiety: A scoping review. Nutrients 13 (2021).
Horne, J., Gilliland, J., O’Connor, C., Seabrook, J. & Madill, J. Enhanced long-term dietary change and adherence in a nutrigenomics-guided lifestyle intervention compared to a population-based (GLB/DPP) lifestyle intervention for weight management: results from the NOW randomised controlled trial. BMJ Nutr. Prev. Health. 3, 49–59. (2020).
Google Scholar
Greaves, C. J. et al. Systematic review of reviews of intervention components associated with increased effectiveness in dietary and physical activity interventions. BMC Public. Health. 11, 119. (2011).
Google Scholar
Matsuzaki, E., Michie, M. & Kawabata, T. Validity of nutrient intakes derived from an internet website dish-based dietary record for self-management of weight among Japanese women. Nutrients 9, 1058 (2017).
Google Scholar
Glasser, M. F. et al. The minimal preprocessing pipelines for the human connectome project. Neuroimage 80, 105–124 (2013).
Google Scholar
Robinson, E. C. et al. MSM: a new flexible framework for multimodal surface matching. Neuroimage 100, 414–426 (2014).
Google Scholar
Winkler, A. M., Ridgway, G. R., Webster, M. A., Smith, S. M. & Nichols, T. E. Permutation inference for the general linear model. Neuroimage 92, 381–397 (2014).
Google Scholar
Smith, S. M. & Nichols, T. E. Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference. Neuroimage 44, 83–98 (2009).
Google Scholar
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