There are many reasons that can influence the eating behavior of humans.
Firstly there are some determinations of choosing their foods. Determinations of biological factors like hunger and the appetite and the taste. Some economical determinations like the income and the cost of the food and the availability. Some physical determination like skill of making food and the time is also important. It also depends on some psychological determinations like the mood for making food and the stress as well as the guilt too. There might be some social determination of the culture of the family and the pattern of the meal and lastly the attitude and the knowledge of foods (Al-Najim et al. 2018)
Determinations of biological factors: The psychological need actually helps to provide about the basic determinants the choice of the food for humans. Nutrition and the energy is needed to survive a human thus the human can respond and feel hungry. The “nervous system” actually helps to control the balance of hunger and the simulation of the appetite and the intake of food.
The nutrients of the food like protein and carbohydrate helps to generate satiety signals to vary the strengths. And it helps to keep the balance that the fat is having the low power of satiety. And the level of carbohydrate and protein is founded to be “most satiation”
Physical and economical determinations: no doubt is involved that the cost of the food is a primary determination of choosing the food. If the cost of food is very expensive there is no problem for a man to buy and eat food whose income is larger. And a low income family always has a tendency to keep the money for the month end time and have a fine diet plan for them. And the accessibility of the foods near the home is a tendency to consume food choices (Aranceta et al. 2021).
Knowledge and education: education level is also dependent on the knowledge about the choice of the food. And should have the knowledge of the nutrition level of food.
Psychological factors: there are some psychological factors for influencing the behavior of the food like having the stress and feeling guilty after coming back from the workplaces.
Figure 1: Control of eating in human brain
The above figure shows about the controlling system of the brain that is having several facilities in the brain like homeostatic system of brain and the “attention system” and also having the memory and emotions and the major part “ cognitive control” (Caron et al. 2021).
For examining the process of appetitive in the brains is the technique which is most used for neurocognitive test and “functional magnetic resonance imaging” the first test can be done for describing the simple tergation of playing games in computer which actually aims about the mental skill in a certain time. In the above description the significance of real world experience can be generated and the experience can be gained. At an instance time by playing the game of stop and go taks the control of inhibitory can be measured in the human brain. The funding suggested in the activation of some specific areas in the human brain may alter and compensate to maintain the performance of neurocognitive. These are the changes in the human brain that are related to the eating choice of human beings. The eating control in human brains is very complicated and involves many times in the neural systems. This is a kind of “homeostatic brain system” basically this kind of controlling system controls the eating which is primarily involved in the regulation of food intake. The neuron which is situated in the nucleus of actuates to communicate with the orexigenic and the neurons which are anorexigenic which controls the eating nuclei of the hypothalamus. Leptin is a kind of module that secretes the periphery of the tissue of adipose, circulates the proportion of fat in the entire body in order both intake the energy and to respond to the acute changes which are happening. There is a primary role of the leptin that signals the stored energy to the tissue and helps to regulate the intake, the energy and the expenditure. The restriction of the severe calorie in two days the result decreases fifty percent and in three day the result decreases in ninety percent from the leptin circulation baseline. At a very low level of body fat the circulation of leptin goes into very low levels and helps to increase the intake of food and the energy expenditure decreases (frontiersin.org, 2021).
Predicting the weight gain for future and the maintenance on the basis of the neural functioning and responsively. The understanding of risk which is improved the process that helps to excess the weight gain and guides the much effective programs that is preventive and the treatments that is became vital to extant the interventions with the possibilities in the “bariatric surgery” have an efficiency which is limited. It has been focused by the theorist in the circuitry rewards because of eating those kind of food which is palatable and increases the activation in the region of implementation in reward of the humans as well as for the animal also. That includes the striatum dorsal and “orbitofrontal cortex” (McGeown et al. 2018). There are density of the calorie in food for humans. In the view of narration aims the summarization content is recently advances in the studies of f-MRI of the patients by the highlighted studies of the EDs and investigate the alternative network that is shared to the EDs. basically the finding on the processing of the rewards in BN and AN points of the patients. And the dispute of the hypothalamic patient inputs has been overridden by the down top emotions and the region of cognitive control. Apply knowledge of appropriate neuro-imaging techniques used to examine eating behavior. With that carried out some studies to know the habit of some and patient.
2.0 Research Aims and Hypothesis 200
Much research has been done on the neural control appetite on the behaviour of human flooding. On the research methodology many points have been discussed like the processes in the brain for flooding and what are the methods that can improve the human eating behavior and the possibilities can influence the human flooding behavior. That there are test functions that can improve to influence the behavior. The possibilities are some biological factors of determination and the times of taking the food and the mealing system in the home. These are the main points as well as there are other causes like physiological factors that can increase and also can decrease the food behavior (Wen et al. 2020)
. And coming to the hypothesis point of the research is control the feeding system as the result of epidemic obesity and raising the incidence of that kind of disease that is metabolic. Basically Brain use to detect the allocation of energy and used to maintain the balance of energy and the metabolic signals are meantates in the brain through the whole body. And the hypothesis is done by those processes as well as the brain has other similar jobs to detect the control of the neural appetite (Niccolai et al. 2019)
3.0 Research Plan
There are various research plans on the methods like how can it be implemented in other process in the body and all the understanding of risk which is improved the process that helps to excess the weight gain and guides the much effective programs that is preventive and the treatments that is became vital to extant the interventions in the brain and there are some powerful mechanism of biological part is involved to adequate them and defend the plan of supply in nutrient and the level of optimal in body weight and if the leptin stores in the body at a low level then the dependents of the fat storation is identified by the strong signal and coming to the hypothesis point of the research is control the feeding system as the result of epidemic obesity and raising the incidence of that kind of disease that is metabolic. This is not just the neurons that are having in the nucleus of actuate but many kinds of brain that involves the finds the potential of the food. These are the main affections for low leptin presence in the brain. Restriction of food and use to lead a “hungry brain” and need to be occupied with a lot of food (Plaisier et al.2020)
. In the construct in the presence lack of energies and the environment of food then causes the smelling and filling. These are the research plans that can be done with the process in many other places like in the other parts of the body or some scratches for the body and for that what are the dependencies and what is required that can be funclazied by the process of neural control of appetite. And with this the environment of the food cues also can be detected. And the system of food reward (frontiersin.org, 2021)
Al-Najim, W., Docherty, N.G. and le Roux, C.W., 2018. Food intake and eating behavior after bariatric surgery. Physiological reviews, 98(3), pp.1113-1141.
Aranceta-Bartrina, Javier, Teresa Partearroyo, Ana M. López-Sobaler, Rosa M. Ortega, Gregorio Varela-Moreiras, Lluis Serra-Majem, and Carmen Pérez-Rodrigo. "Updating the food-based dietary guidelines for the Spanish population: The Spanish society of community nutrition (senc) proposal." Nutrients 11, no. 11 (2019): 2675.
Caron, A. and Michael, N.J., 2021. New Horizons: Is Obesity a Disorder of Neurotransmission?. The Journal of Clinical Endocrinology & Metabolism.
McGeown, L. and Davis, R., 2018. Frontal EEG asymmetry moderates the association between attentional bias towards food and body mass index. Biological psychology, 136, pp.151-160.
Niccolai, E., Boem, F., Russo, E. and Amedei, A., 2019. The gut–brain axis in the neuropsychological disease model of obesity: a classical movie revised by the emerging director “microbiome”. Nutrients, 11(1), p.156.
Plaisier, F., Hume, C. and Menzies, J., 2020. Neural connectivity between the hypothalamic supramammillary nucleus and appetite?and motivation?related regions of the rat brain. Journal of neuroendocrinology, 32(2), p.e12829.
Wen, H.J. and Tsai, C.L., 2020. Neurocognitive inhibitory control ability performance and correlations with biochemical markers in obese women. International journal of environmental research and public health, 17(8), p.2726.
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