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Dietary Patterns and Their Role in the Prevention and Management of Mental Health Disorders

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11 August 2025

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12 August 2025

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Abstract
Purpose: In order to better understand the relationship between nutrition and brain health, we compared different studies and their results to evaluate the significant association between diet and preventing psychological & neurological disorders such as: Alzheimer’s disease, depression or how different diet patterns can influence mental and brain health. Method: This research includes a descriptive and retrospective study, including a number of 280 subjects of both sexes and different ages, who accomplished a proposed survey. A statistical analysis was made targeting a variety of parameters that indirectly reflects the impact of diet on mental health. Results: General health– 46,8% of subjects confirm the presence of a high impact on general health (131 cases), followed by the category thinking that chose the presence of a very high impact (114 cases, 40,7%). Physical health – in this case the statistical analysis highlighted equal percentages among high (127 cases, 45,4%) and very high impact (126 cases, 45,0%) on physical health. Mental health – 43,6% of subjects consider that adopting a healthy diet is followed by a significant impact mostly on mental health (122 cases, 43,6%). Focus capacity– 43,2% of subjects consider that healthy alimentation has a significant effect on the ability to focus (121 cases). The ability to memorise – similarly to the previous section, the analysis indicated in the previous item that diet has a high impact on the capacity to memorise (109 cases, 38,9%). Good disposition – the major impact is shown is shown on this aspect as well (125 cases, 44,6%). Conclusion: Over 70% of the subjects involved in this research paper have healthy eating behaviours in correlation with the high percentage of patients without any neuro-degenerative or mental health disorders. Most of the subjects consider that healthy nutrition has a significant impact on health in all its forms (general, mental, physic), but not all of them have healthy food habits, nor use their knowledge. Promising results show that healthy nutrition positively contributes in alleviating focus or learning capacity. There has been a distinctive link between daily caffeine consumption which is associated with an unhealthy diet and unhealthy diet behaviours. 24,6% of subjects with an unhealthy diet and 4,9% of those with relative healthy diet agree daily consumption of soda drinks. Negative feelings, with a significant emotional impact were reported in most of the cases or in superior proportions in subjects with an unhealthy diet (prevailing or intermittent), proving that unhealthy habits might have an important effect on mental health, while exacerbating mental health disorders.
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1. Introduction

In order to better understand the relationship between nutrition and brain health, we compared different studies and their results to evaluate the significant association between diet and preventing psychological or neurological disorders, the link between behaviour and mental health status and dietary patterns as well as the effects of healthy foods, on brain function and wellbeing.

1.1. Nutrition Impact on Brain Health

The high amounts of vitamins, minerals and antioxidants found in high quality food products nourish and protect the brain from oxidative stress and metabolites derived from oxygen consumption reactions from the rest of the body [1].
After ingesting food, secretion of peptides or hormones such as GLP1 (glucagon-like peptide 1) and insulin reach the hypothalamus and hippocampus to activate transduction ways involved in synaptic activation, contributing to memory and learning [2]. Physical activity and diet can influence mitochondrial energy production while the produced ATP might trigger the neurotrophic brain derived factor and insulin growth factor 1 (IGF1) which keeps synaptic plasticity, neuronal excitability and cognitive function [2]. A study that analysed an elderly population found out that consuming more than 58% calories derived from carbohydrates doubles the risk of light mental failure and dementia [3]. Excessive calories may increase cell dysfunction and reduce synaptic plasticity [2]. Many “antioxidant diets” are becoming more and more popular for their beneficial effects on the neuronal function, for instance forest fruits have a high antioxidant property [2].
Micronutrients intake such as vitamins or minerals has been correlated with a better emotion control and less aggressivity among children with ADHD, while a recent meta-analysis claims that a diet rich in refined sugars and saturated fats can increase the risk of hyperreactivity and ADHD compared with a protective effect of diet rich in vegetables and fruits [4].

1.2. Dementia and Alzheimer Disease

Interest has been shown in analysing Mediterranean diet and diet approaches that stop hypertension (DASH) as model diets that have potential strategies of dementia prevention thanks to their anti-inflammatory and cardioprotective influence [5].
Alpha lipoic acid found in meat, especially in heart and vegetables: potatoes, spinach and broccoli, represents a coenzyme that maintains energetic mitochondrial homeostasis, decreases cognitive degradation in small patient groups with Alzheimer disease while improving memory in mammals with Alzheimer [2]. Trans artificial fats could damage brain and can be found in margarine, sweet glazes, snacks and cakes being associated with Alzheimer disease and memory illness [3].
Caloric restriction may have a neuroprotective effect through mitochondrial function enhancement leading to an increase in energy production and supressing reactive oxygen species production
Caloric restriction has anti- inflammatory effects by blocking interleukins (IL6, IL1β, IL4, IL2) and necrosis factors synthesis [6].

2. Diet and Cognition

Epidemiological studies show that the risk of developing Alzheimer disease is not present in subjects having a regular less caloric intake. In a recent case control study based on population, reports show that a high caloric intake is linked with a double risk of having a slight cognitive decline [7].
The Finnish study of geriatric intervention for preventing cognitive disorders and disabilities (FINGER) managed to slow down some cognition decline signs and symptoms by combining physical activity, diet and cognitive training with specific intake of fats, proteins, carbohydrates and small sugar quantities [8].

Fasting

Neuroprotective properties of diet can be linked with an increased concentration of ketonic bodies and biochemical changes that occur in the body as a result of glycolysis inhibition [6]. A 48hours fasting proved an increase of parasympathetic system and a decrease of the frontal cerebral recess activity and improved prefrontal cortex cognitive functions such as metal flexibility [9]. A mice study that took part in an intermittent fasting regimen indicated a decrease in hippocampus neuronal degeneration [7].

3. Diet as a Treatment

Animal studies showed evidence of Western dietary model impact on Alzheimer Disease markers and cerebral insulin signalling [10]. It is well known that the development of dementia is linked with inflammatory risk factors such as: metabolic syndromes, obesity, insulin resistance, type 2 diabetes and hypertension [11]. A meta-analysis of multiple studies highlighted a longitudinal relationship between obesity and depression, observing that depression predisposes to obesity with 55% and vice versa [11].

Eating and Behaviour

The global burden of mental illnesses, both in terms of disability and financial costs competes with all kinds of neoplasm, combined. Furthermore, unipolar depression represents the first cause of disability in high & medium -income countries [12]. High consumption of processed glucides might increase the risk of anxiety and depression through rapid frequent glucose spikes [13].
There are proofs that light dehydration can affect mood and cognitive performance by inducing a negative influence on memory and vigilance, escalation of anxiety, tension and fatigue [14]. It has been also shown in recent studies that N-acetyl cysteine represents a potential therapeutic option for drug abuse, gambling, schizophrenia, depression and bipolar disorder as people consume certain foods as a response to positive and negative emotions [15,16].

4. Nutrition and Mental Health

4.1. Autism

Studies show that ASD (autistic syndrome disorder) patients that stick to a diet without gluten and casein (GFCF- Gluten free Casein free) significantly decreased intestinal permeability compared to healthy individuals (32). GFCF indicated improvements in behaviours and psychological, also in vocal communication and non-vocal, dis and attention, aggressive episodes, motor skills, affection, rituals and routine, learning responses, sleep, empathy and anxiety [17].

4.2. Nutritional Psychiatry

Animal research indicated that the link between appetitive and affective symptoms comes from the neurochemical effects of eating high-carbohydrate and low protein foods, reacts through insulin increasing levels of tryptophane in the brain, facilitating the production of serotonin [18].

5. Experiments Performed in This Study

5.1. Method

This research includes a descriptive and retrospective study, including a number of 280 subjects of both sexes and different ages, that accomplished a proposed survey. A statistical analysis was made targeting a variety of parameters that indirectly reflects the impact of diet on mental health.

5.2. Research Materials

Ensuing two survey models: "Survey about healthy eating habits", "The Effect of healthy diet and Fermented Foods on Mental Health", continuous variables presented mean ± standard deviation. Continuous variables are related using the Student -T test.
Categorical variables are expressed as numbers and/or percentages. Categorical variables are related with the Person Chi - square Test. Each statistical tests are "2-tailed" and with a P<0.05 value studied statistically significant. Also, statistical analyses including odds ratio (OR) were performed in IBM SPSS Statistics (Statistical Package for The Social Sciences) version 20.

5.3. Results

Statistical Analysis of Demographic Data

Choose your age range: 33,02% of the questioned subjects were aged between 18 and 25 years old (93 cases, 33,2%), followed by the fourth decade participants (58 cases, 20,7%). (Table1) (Figure 1)
Please specify your gender– most enrolled subjects in this paper were females (225 cases, 80,4%). (Table 1)
How would you describe your diet habits? – 73,2% of the questioned subjects stated that they have healthy dietary habits (205 cases), followed by the relative unhealthy habits (57 cases, 20,4%). Extreme answering options (very unhealthy, very healthy) were found in small proportions of subjects (2,5, respectively 3,9%). (Table 2) (Figure 2)
Do you have any mental health issues such as anxiety or depression? – 73,6% of subjects do not suffer from anxiety or depression (206 cases) (Figure 3)
Do you suffer from a neuro-degenerative disorder, such as Parkinson or Alzheimer? - 98,6% of the subjects do not suffer from neuro-degenerative disorders (276 cases) (Figure 4)
General healthy– 46,8% of subjects confirm the presence of a high impact on general health (131 cases), followed by the category thinking that chose the presence of a very high impact (114 cases, 40,7%) .(Table 3) (Figure 5)
Physical health – in this case the statistical analysis highlighted equal percentages among high (127 cases, 45,4%) and very high impact (126 cases, 45,0%) on physical health. (Table 3) (Figure 6)
Mental health – 43,6% of subjects consider that adopting a healthy diet is followed by a significant impact mostly on mental health (122 cases, 43,6%). (Table 3) (Figure 7)
Focus capacity– 43,2% of subjects consider that healthy alimentation has a significant effect on the ability to focus (121 cases) (Table 4) (Figure 8)
The ability to memorise – similarly to the previous section, the analysis indicated in the previous item that diet has a high impact on the capacity to memorise (109 cases, 38,9%). (Table 4) (Figure 9)
Good disposition – the major impact is shown is shown on this aspect as well (125 cases, 44,6%) (Table 4) (Figure 10)
How often do you consume the following: vegetables (128 cases, 45,7%) (Figure 11), fruits (116 cases, 41,4%) (Figure 12), meat (137 cases, 48,9%) (Figure 13) and dairy products (130 cases, 46,4%) (Table 5), these being foods consumed weekly by our subjects that filed in the survey for this research paper. White carbohydrates dominated the daily consumption (130 cases, 46,4%) (Figure 14), proportion similar to caffeinated drinks (152 cases, 54,3%) (Figure 15). Fast food is consumed mostly monthly (98 cases, 35,0%) (Table 5). 89,4% of subjects claim a daily water intake (Figure 16), Sweets consumption stake( Figure 17), Snacks consumption stake ( Figure 18), Soft Drinks consumption stake( Figure 19) (Table 5).
Considering the past month, how these affirmations apply to you?
  • I did not have positive feelings – 52,5% of subjects deny this affirmation (147 cases). (Figure 20) , Table 6
  • I could not find the motivation to work/fulfil chores – 43,6% deny this affirmation, 41,8% occasionally agree (117 cases). (Figure 21) , Table 6
  • I could not enjoy the things I have done – 56,1% of cases disagree (157 cases). (Figure 22), Table 6
  • I feel lonely, without somebody to talk about my problems or joys – most of the subjects deny this affirmation at the statistical analysed item (171 cases, 61,1%). (Figure 23), Table 6
  • I felt that life has no sense – 75,0% of the subjects disagree (210 cases) (Figure 24), Table 6
  • I felt worthless – 65,0% disagree with this affirmation (182 cases). (Figure 25), Table 7
  • I felt sad and depressed – 46,1% of the subjects disagree and 43,6% of subjects find this intermittently applicable to their situation (122 cases) (Figure 26) , Table 7
  • I was worried about panic situations where I could look stupid – most of our subjects deny this item (157 cases, 56,1%). (Figure 27) , Table 7
  • I was put in situations in which I was so anxious that I felt most relieved at the end of it – 67,9% of subjects disagree this (190 cases). (Figure 28), Table 7
  • I felt almost close to panic – 60,7% of subjects disagree this (170 cases).(Figure 29) , Table 7
  • I was put in situations where I felt terrified, I was panicked, - 67,9% of subjects disagree this (190 cases). (Figure 30), Table 7

6. Discussions

Recent studies involved 124 participants (mean age: 52 ± 9 years) with sedentary lifestyle, high blood pressure, and body mass index (BMI) greater than 24. After 4 months when they were assessed, a significant improvement in both psychomotor speed and executive function and learning memory was noted [7].
A review of several studies showed that a lower probability of depression was linked to increased consumption of a healthy diet, defined as diet rich in fruits, vegetables, figs or whole grains [4].
The antidepressant effect of resveratrol (found in foods such as peanuts, grapes, blueberries, mulberries and raspberries) has been suggested by several recent studies [7]
The nature of mental health conditions such as depression alters appetite. Atypical depression has been shown to be particularly correlated with increased appetite and subsequent weight gain [11].
Observational research has found that recurrent hypo-glycemia is correlated with mood disorders [13].
The improvement in well-being from increased fruit and vegetable intake is almost immediate, people's interest in eating healthy foods is unmotivated because the physical health benefits appear decades later, and these are falsely seen as more important than well-being [18].
Family context, mental health issues were associated with distant relationships with parents, and family violence, while the school context, feelings of loneliness and trouble sleeping were associated with poor peer relationships, insecurity at school[19].
These results, help to highlight potential points of intervention for supporting public health programs within the boarding-school student population[20].
Another study shows that 79.2% of the pupils that were interviewed came from an organized family, 13.2% came from a disorganized family, and 7.6% came from a reorganized family. 71.1% of the pupils reported being satisfied with their relationship with their parents, while 4.9% were unsatisfied. Girls were significantly more unsatisfied with their relationship with their parents than boys. 46.2% were satisfied with the financial status of their families, while 16.4% were unsatisfied.. The unsatisfaction grade can lead to mental unbalances and can affect mental health on long term and also unhealthy habbits[21].

7. Conclusions

Over 70% of the subjects involved in this research paper have healthy eating behaviours in correlation with the high percentage of patients without any neuro-degenerative or mental health disorders (Table 8). Most of the subjects consider that healthy nutrition has a significant impact on health in all its forms (general, mental, physic), but not all of them have healthy food habits, nor use their knowledge (Table 8 and Table 9).
Promising results show that healthy nutrition positively contributes in alleviating focus or learning capacity. There has been a distinctive link between daily caffeine consumption which is associated with an unhealthy diet and unhealthy diet behaviours. 24,6% of subjects with an unhealthy diet and 4,9% of those with relative healthy diet agree daily consumption of soda drinks( Table 9 and Table 10).
Negative feelings, with a significant emotional impact were reported in most of the cases or in superior proportions in subjects with an unhealthy diet (prevailing or intermittent), proving that unhealthy habits might have an important effect on mental health, while exacerbating mental health disorders( Table 8, 9 and 10).

Author Contributions

Investigation, Sitaru Georgiana Patricia and Folescu Roxana; Methodology, Simbrac Mihaela Cristina; Software, Vacaru Gabriel Cristian and Borca Ciprian Ioan; Supervision, Miloicov Bacean Oana Codruta; Writing – original draft, Mohammad Aljafari Rakan Adnan Mohammad.

Ethical Issues

The research was conduced in accordance with the guidelines outlined in the Declaration of Helsinki. Ethical clearance obtained from “Victor Babes” University of Medicine and Pharmacy, Center for Studies in Preventive Medicine, Timisoara, Romania, Institutional Review Board, research support officers. The research’s objectives, benefit and risks were explained to the participants before data collection and obtained written informed consent from the study participants. The research participants were assured of the attainment of confidentiality, and the information they give us will not be used for any purpose other than the research.

References

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  21. Oana Codruta Miloicov Bacean, Ovidiu Fira-Mladinescu, Salomeia Putnoky, Ioana Tuta Sas, Petrescu Cristina, Radu Bagiu, Iulia Cristina Bagiu, Oana Suciu, Corneluta Fira-Mladinescu and Brigitha Vlaicu Article title: High School Pupils’ Relationships with Their Parents, Schoolmates, and Friends, and Health-Related Risk Behaviors Submission no: 306133, Published: May 2021 in Psychology Research and Behavior Management. [CrossRef]
Figure 1. Age distribution of subjects.
Figure 1. Age distribution of subjects.
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Figure 2. Eating habits stake.
Figure 2. Eating habits stake.
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Figure 3. Stake of subjects with mental health issues.
Figure 3. Stake of subjects with mental health issues.
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Figure 4. Stake of subjects with neuro-degenerative disorders.
Figure 4. Stake of subjects with neuro-degenerative disorders.
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Figure 5. Healthy diet impact on general health.
Figure 5. Healthy diet impact on general health.
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Figure 6. Healthy diet impact on physical health.
Figure 6. Healthy diet impact on physical health.
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Figure 7. Healthy diet impact on mental health.
Figure 7. Healthy diet impact on mental health.
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Figure 8. Healthy diet impact on the ability to focus.
Figure 8. Healthy diet impact on the ability to focus.
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Figure 9. Unhealthy diet impact on the ability to remember/memorize.
Figure 9. Unhealthy diet impact on the ability to remember/memorize.
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Figure 10. Healthy diet impact on good disposition.
Figure 10. Healthy diet impact on good disposition.
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Figure 11. Vegetable consumption stake.
Figure 11. Vegetable consumption stake.
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Figure 12. Fruits consumption stake.
Figure 12. Fruits consumption stake.
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Figure 13. Meat consumption stake.
Figure 13. Meat consumption stake.
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Figure 14. White carbohydrates consumption stake.
Figure 14. White carbohydrates consumption stake.
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Figure 15. Caffeinated drinks consumption stake.
Figure 15. Caffeinated drinks consumption stake.
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Figure 16. Water consumption stake.
Figure 16. Water consumption stake.
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Figure 17. Sweets consumption stake.
Figure 17. Sweets consumption stake.
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Figure 18. Snacks consumption stake.
Figure 18. Snacks consumption stake.
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Figure 19. Soft Drinks consumption stake.
Figure 19. Soft Drinks consumption stake.
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Figure 20. Positive feelings stake.
Figure 20. Positive feelings stake.
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Figure 21. Demotivation stake.
Figure 21. Demotivation stake.
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Figure 22. Lack of the ability to feel joy stake.
Figure 22. Lack of the ability to feel joy stake.
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Figure 23. Stake of subjects that feel alone.
Figure 23. Stake of subjects that feel alone.
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Figure 24. Stake of subjects that feel that life has no sense.
Figure 24. Stake of subjects that feel that life has no sense.
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Figure 25. Stake of subjects that feel worthless.
Figure 25. Stake of subjects that feel worthless.
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Figure 26. Stake of subjects that feel sad or depressed.
Figure 26. Stake of subjects that feel sad or depressed.
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Figure 27. Stake of subjects that feel worried about situations which could make them feel uncomfortable.
Figure 27. Stake of subjects that feel worried about situations which could make them feel uncomfortable.
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Figure 28. Stake of subjects with associated anxious episodes.
Figure 28. Stake of subjects with associated anxious episodes.
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Figure 29. Stake of subjects with panic episodes.
Figure 29. Stake of subjects with panic episodes.
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Figure 30. Stake of subjects with negative experiences.
Figure 30. Stake of subjects with negative experiences.
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Table 1. Statistical analysis of demographic data.
Table 1. Statistical analysis of demographic data.
Case number Percentage (%)
Age ≥60 22 7.9%
13-17 1 0.4%
18-25 93 33.2%
26-29 22 7.9%
30-39 44 15.7%
40-49 58 20.7%
50-59 40 14.3%
Gender Female 225 80.4%
Male 55 19.6%
Table 2. Stake of eating habits answers .
Table 2. Stake of eating habits answers .
Case number Percentage (%)
Eating habits Very unhealthy 7 2.5%
Very healthy 11 3.9%
Relative unhealthy 57 20.4%
Relative healthy 205 73.2%
Mental health issues Yes 74 26.4%
No 206 73.6%
Neuro-degenerative disorders Yes 4 1.4%
No 276 98.6%
Table 3. Impact of a healthy diet on health.
Table 3. Impact of a healthy diet on health.
Case numbers Percentage (%)
General Has a very high impact 114 40.7%
Has a high impact 131 46.8%
Has a low impact 8 2.9%
Does not have an impact 18 6.4%
I do not know 9 3.2%
Physical Has a very high impact 127 45.4%
Has a high impact 126 45.0%
Has a low impact 3 1.1%
Does not have an impact 16 5.7%
I do not know 8 2.9%
Mental Has a very high impact 81 28.9%
Has a high impact 122 43.6%
Has a low impact 21 7.5%
Does not have an impact 15 5.4%
I do not know 41 14.6%
Table 4. Healthy diet impact on the ability to focus and memorise .
Table 4. Healthy diet impact on the ability to focus and memorise .
Case numbers Percentage (%)
Ability to focus Has a very high impact 74 26.4%
Has a high impact 121 43.2%
Has a low impact 19 6.8%
Does not have an impact 17 6.1%
I do not know 49 17.5%
Ability to memorise Has a very high impact 64 22.9%
Has a high impact 109 38.9%
Has a low impact 24 8.6%
Does not have an impact 20 7.1%
I do not know 63 22.5%
Good dysposition Has a very high impact 95 33.9%
Has a high impact 125 44.6%
Has a low impact 19 6.8%
Does not have an impact 18 6.4%
I do not know 23 8.2%
Table 5. Stake of consumption of certain foods in the statistical analysed lot.
Table 5. Stake of consumption of certain foods in the statistical analysed lot.
Case numbers Percentage (%)
Vegetables Some times on a monthly basis 21 7.5%
Some times on a weekly basis 128 45.7%
Daily 111 39.6%
Never 1 0.4%
Once a month 6 2.1%
Once a week 13 4.6%
Fruits Some times on a monthly basis 22 7.9%
Some times on a weekly basis 116 41.4%
Daily 104 37.1%
Never 2 0.7%
Once a month 9 3.2%
Once a week 27 9.6%
White carbohydrates Some times on a monthly basis 19 6.8%
Some times on a weekly basis 91 32.5%
Daily 130 46.4%
Never 2 0.7%
Once a month 12 4.3%
Once a week 26 9.3%
Meat Some times on a monthly basis 23 8.2%
Some times on a weekly basis 137 48.9%
Daily 78 27.9%
Never 10 3.6%
Once a month 7 2.5%
Once a week 25 8.9%
Fast-food Some times on a monthly basis 59 21.1%
Some times on a weekly basis 17 6.1%
Daily 1 0.4%
Never 61 21.8%
Once a month 98 35.0%
Once a week 44 15.7%
Sweets Some times on a monthly basis 55 19.6%
Some times on a weekly basis 94 33.6%
Daily 39 13.9%
Never 10 3.6%
Once a month 25 8.9%
Once a week 57 20.4%
Caffeinated drinks Some times on a monthly basis 25 8.9%
Some times on a weekly basis 41 14.6%
Daily 152 54.3%
Never 34 12.1%
Once a month 15 5.4%
Once a week 13 4.6%
Soft Drinks Some times on a monthly basis 48 17.1%
Some times on a weekly basis 34 12.1%
Daily 24 8.6%
Never 77 27.5%
Once a month 65 23.2%
Once a week 32 11.4%
Water Some times on a monthly basis 11 3.9%
Some times on a weekly basis 9 3.2%
Daily 249 88.9%
Never 4 1.4%
Once a month 5 1.8%
Once a week 2 0.7%
Table 6. Answered stake of the survey.
Table 6. Answered stake of the survey.
Case numbers Percentage (%)
I did not experiment any positive feelings Not applicable 147 52.5%
Applicable most of the times 31 11.1%
Applicable sometimes 102 36.4%
I could not find motivation to work/do chores Not applicable 122 43.6%
Applicable most of the times 41 14.6%
Applicable sometimes 117 41.8%
I could not enjoy the thing I have done Not applicable 157 56.1%
Applicable most of the times 26 9.3%
Applicable sometimes 97 34.6%
I feel lonely, without somebody to talk with about my problems or joys Not applicable 171 61.1%
Applicable most of the times 32 11.4%
Applicable sometimes 77 27.5%
I felt worthless Not applicable 182 65.0%
Applicable most of the times 23 8.2%
Applicable sometimes 75 26.8%
Table 7. Answers stake of the survey.
Table 7. Answers stake of the survey.
Case numbers Percentage (%)
I felt that life has no sense Not applicable 210 75.0%
Applicable most of the times 20 7.1%
Applicable sometimes 50 17.9%
I felt sad and depressed Not applicable 129 46.1%
Applicable most of the times 29 10.4%
Applicable sometimes 122 43.6%
I was worried about situations where I could panic and look stupid Not applicable 170 60.7%
Applicable most of the times 25 8.9%
Applicable sometimes 85 30.4%
I was put in situations in which I was so anxious that I felt most relieved at the end of it Not applicable 157 56.1%
Applicable most of the times 29 10.4%
Applicable sometimes 94 33.6%
I felt almost close to panic Not applicable 170 60.7%
Applicable most of the times 11 3.9%
Applicable sometimes 99 35.4%
I was put in situations where I felt terrified, I was panicked Not applicable 190 67.9%
Applicable most of the times 10 3.6%
Applicable sometimes 80 28.6%
Table 8. Stake of mental illness or psychiatric pathologies in relationship with.
Table 8. Stake of mental illness or psychiatric pathologies in relationship with.
NUTRITION
Very unhealthy Very healthy Relative unhealthy Relative healthy
Case numbers, percentage (%)
Mental illness Yes 1 14.3% 1 9.1% 22 38.6% 50 24.4%
No 6 85.7% 10 90.9% 35 61.4% 155 75.6%
Neuro-degenerative disorders Yes 0 0.0% 0 0.0% 0 0.0% 4 2.0%
No 7 100.0% 11 100.0% 57 100.0% 201 98.0%
Table 9. Stake of foods consumed according to diet.
Table 9. Stake of foods consumed according to diet.
NUTRITION
Very unhealthy Very healthy Relative unhealthy Relative healthy
Case numbers, percentage (%)
Vegetables Some times on a monthly basis 1 14.3% 1 9.1% 6 10.5% 13 6.3%
Some times on a weekly basis 3 42.9% 2 18.2% 34 59.6% 89 43.4%
Daily 0 0.0% 8 72.7% 7 12.3% 96 46.8%
Never 1 14.3% 0 0.0% 0 0.0% 0 0.0%
Once a month 2 28.6% 0 0.0% 3 5.3% 1 0.5%
Once a week 0 0.0% 0 0.0% 7 12.3% 6 2.9%
Fruits Some times on a monthly basis 0 0.0% 1 9.1% 11 19.3% 10 4.9%
Some times on a weekly basis 2 28.6% 1 9.1% 24 42.1% 89 43.4%
Daily 0 0.0% 8 72.7% 12 21.1% 84 41.0%
Never 1 14.3% 0 0.0% 0 0.0% 1 0.5%
Once a month 4 57.1% 0 0.0% 3 5.3% 2 1.0%
Once a week 0 0.0% 1 9.1% 7 12.3% 19 9.3%
White carbohydrates Some times on a monthly basis 0 0.0% 0 0.0% 2 3.5% 17 8.3%
Some times on a weekly basis 1 14.3% 5 45.5% 13 22.8% 72 35.1%
Daily 4 57.1% 2 18.2% 37 64.9% 87 42.4%
Never 1 14.3% 0 0.0% 1 1.8% 0 0.0%
Once a month 1 14.3% 3 27.3% 1 1.8% 7 3.4%
Once a week 0 0.0% 1 9.1% 3 5.3% 22 10.7%
Meat Some times on a monthly basis 0 0.0% 1 9.1% 6 10.5% 16 7.8%
Some times on a weekly basis 1 14.3% 4 36.4% 24 42.1% 108 52.7%
Daily 4 57.1% 3 27.3% 21 36.8% 50 24.4%
Never 1 14.3% 1 9.1% 1 1.8% 7 3.4%
Once a month 1 14.3% 0 0.0% 0 0.0% 6 2.9%
Once a week 0 0.0% 2 18.2% 5 8.8% 18 8.8%
Diary products Some times on a monthly basis 0 0.0% 1 9.1% 3 5.3% 18 8.8%
Some times on a weekly basis 4 57.1% 4 36.4% 27 47.4% 95 46.3%
Daily 1 14.3% 3 27.3% 24 42.1% 63 30.7%
Never 1 14.3% 1 9.1% 0 0.0% 3 1.5%
Once a month 1 14.3% 1 9.1% 0 0.0% 6 2.9%
Once a week 0 0.0% 1 9.1% 3 5.3% 20 9.8%
Fast-food Some times on a monthly basis 1 14.3% 0 0.0% 18 31.6% 40 19.5%
Some times on a weekly basis 1 14.3% 0 0.0% 10 17.5% 6 2.9%
Daily 0 0.0% 0 0.0% 0 0.0% 1 0.5%
Never 1 14.3% 7 63.6% 5 8.8% 48 23.4%
Once a month 3 42.9% 4 36.4% 11 19.3% 80 39.0%
Once a week 1 14.3% 0 0.0% 13 22.8% 30 14.6%
Snacks Some times on a monthly basis 1 14.3% 0 0.0% 12 21.1% 60 29.3%
Some times on a weekly basis 2 28.6% 0 0.0% 16 28.1% 23 11.2%
Daily 0 0.0% 0 0.0% 2 3.5% 8 3.9%
Never 2 28.6% 4 36.4% 7 12.3% 34 16.6%
Once a month 1 14.3% 5 45.5% 10 17.5% 50 24.4%
Once a week 1 14.3% 2 18.2% 10 17.5% 30 14.6%
Sweets Some times on a monthly basis 0 0.0% 0 0.0% 7 12.3% 48 23.4%
Some times on a weekly basis 2 28.6% 1 9.1% 24 42.1% 67 32.7%
Daily 1 14.3% 0 0.0% 12 21.1% 26 12.7%
Never 1 14.3% 4 36.4% 1 1.8% 4 2.0%
Once a month 1 14.3% 2 18.2% 4 7.0% 18 8.8%
Once a week 2 28.6% 4 36.4% 9 15.8% 42 20.5%
Caffeinated Drinks Some times on a monthly basis 0 0.0% 1 9.1% 4 7.0% 20 9.8%
Some times on a weekly basis 1 14.3% 0 0.0% 10 17.5% 30 14.6%
Daily 4 57.1% 5 45.5% 37 64.9% 106 51.7%
Never 1 14.3% 4 36.4% 3 5.3% 26 12.7%
Once a month 1 14.3% 0 0.0% 1 1.8% 13 6.3%
Once a week 0 0.0% 1 9.1% 2 3.5% 10 4.9%
Soda drinks Some times on a monthly basis 0 0.0% 0 0.0% 8 14.0% 40 19.5%
Some times on a weekly basis 3 42.9% 0 0.0% 14 24.6% 17 8.3%
Daily 0 0.0% 0 0.0% 14 24.6% 10 4.9%
Never 1 14.3% 9 81.8% 9 15.8% 58 28.3%
Once a month 3 42.9% 2 18.2% 6 10.5% 54 26.3%
Once a week 0 0.0% 0 0.0% 6 10.5% 26 12.7%
Water Some times on a monthly basis 0 0.0% 1 9.1% 1 1.8% 9 4.4%
Some times on a weekly basis 1 14.3% 0 0.0% 4 7.0% 4 2.0%
Daily 4 57.1% 9 81.8% 48 84.2% 188 91.7%
Never 1 14.3% 0 0.0% 2 3.5% 1 0.5%
Once a month 1 14.3% 0 0.0% 2 3.5% 2 1.0%
Once a week 0 0.0% 1 9.1% 0 0.0% 1 0.5%
Table 10. Statistical analysis of parameters in relationship with statistical analysed parameters.
Table 10. Statistical analysis of parameters in relationship with statistical analysed parameters.
NUTRITION
Very unhealthy Very healthy Relative unhealthy Relative healthy
Case numbers, percentage (%)
I did not experiment any positive feelings Not applicable 2 28.6% 6 54.5% 19 33.3% 120 58.5%
Applicable most of the times 2 28.6% 1 9.1% 6 10.5% 22 10.7%
Applicable sometimes 3 42.9% 4 36.4% 32 56.1% 63 30.7%
I could not find motivation to work/do chores Not applicable 3 42.9% 7 63.6% 12 21.1% 100 48.8%
Applicable most of the times 2 28.6% 1 9.1% 11 19.3% 27 13.2%
Applicable sometimes 2 28.6% 3 27.3% 34 59.6% 78 38.0%
I could not enjoy the thing I have done Not applicable 3 42.9% 8 72.7% 21 36.8% 125 61.0%
Applicable most of the times 1 14.3% 1 9.1% 6 10.5% 18 8.8%
Applicable sometimes 3 42.9% 2 18.2% 30 52.6% 62 30.2%
I feel lonely, without somebody to talk with about my problems or joys Not applicable 5 71.4% 8 72.7% 29 50.9% 129 62.9%
Applicable most of the times 1 14.3% 1 9.1% 14 24.6% 16 7.8%
Applicable sometimes 1 14.3% 2 18.2% 14 24.6% 60 29.3%
I felt worthless Not applicable 4 57.1% 6 54.5% 30 52.6% 142 69.3%
Applicable most of the times 1 14.3% 2 18.2% 8 14.0% 12 5.9%
Applicable sometimes 2 28.6% 3 27.3% 19 33.3% 51 24.9%
I felt that life has no sense Not applicable 6 85.7% 9 81.8% 34 59.6% 161 78.5%
Applicable most of the times 1 14.3% 2 18.2% 5 8.8% 12 5.9%
Applicable sometimes 0 0.0% 0 0.0% 18 31.6% 32 15.6%
I felt sad and depressed Not applicable 5 71.4% 6 54.5% 16 28.1% 102 49.8%
Applicable most of the times 1 14.3% 2 18.2% 10 17.5% 16 7.8%
Applicable sometimes 1 14.3% 3 27.3% 31 54.4% 87 42.4%
I was worried about situations where I could panic and look stupid Not applicable 5 71.4% 6 54.5% 32 56.1% 127 62.0%
Applicable most of the times 0 0.0% 2 18.2% 6 10.5% 17 8.3%
Applicable sometimes 2 28.6% 3 27.3% 19 33.3% 61 29.8%
I was put in situations in which I was so anxious that I felt most relieved at the end of it Not applicable 4 57.1% 7 63.6% 25 43.9% 121 59.0%
Applicable most of the times 1 14.3% 1 9.1% 11 19.3% 16 7.8%
Applicable sometimes 2 28.6% 3 27.3% 21 36.8% 68 33.2%
I felt almost close to panic Not applicable 5 71.4% 8 72.7% 29 50.9% 128 62.4%
Applicable most of the times 0 0.0% 0 0.0% 5 8.8% 6 2.9%
Applicable sometimes 2 28.6% 3 27.3% 23 40.4% 71 34.6%
I was put in situations where I felt terrified, I was panicked Not applicable 5 71.4% 9 81.8% 32 56.1% 144 70.2%
Applicable most of the times 0 0.0% 1 9.1% 1 1.8% 8 3.9%
Applicable sometimes 2 28.6% 1 9.1% 24 42.1% 53 25.9%
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