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International Journal of
eISSN: 2381-1803

Complementary & Alternative Medicine

Research Article Volume 12 Issue 2

The treatment of obesity with personalized nutrition according to their hormonal body type and metabolic type

Hegyi Gabriella, Dorottya Zsálig

Pecs University Health Science Faculty , Hungary

Correspondence: Hegyi Gabriella, Pecs University Health Science Faculty, Pecs, Vorosmarty u.4, Hungary, Email drhegyi@hu.inter.net

Received: February 24, 2019 | Published: March 21, 2019

Citation: Zsálig D, Hegyi G. The treatment of obesity with personalized nutrition according to their hormonal body type and metabolic type. Int J Complement Alt Med. 2019;12(2):70-73. DOI: 10.15406/ijcam.2019.12.00451

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Abstract

Obesity prevalence is increasing. 2/3 of Hungarian society is currently overweight or obese, and nutrition plays a significant role in it. There are countless diets to deal with this, so the choice is a common problem.

Aim: To examine the metabolic type and the hormonal body type and to assess the occurrence of the types.

Method: The assignment is based on the Metabolic Typing Diet questionnaire, and a condition for belonging to a hormonal body type is that we have at least six qualities that are specific to that type. We compared both the hormonal body types and metabolic types nutrition with their own recommendations considering BMI. 64 people was asked, who was at least 18years old.

Results: The most common metabolic type is the mixed type by 70%, followed by the protein type by 18% and the carbohydrate type by 12%. For hormonal body types, the adrenal type is 44%, the gonad type is 25%, the thyroid type is 22%, and the pituitary gland type is 9%. When we consider both of our types and BMI, we can say that there was no significant difference between the recommended carbohyrate intake among the overweight/obese thyroid type and their  metabolic types (n=10). This was similar to normal body mass index (n=4) (p>0.05). The overweight / obese oestro type (n=10) and their metabolic types had a significant difference between the intake and the recommended fat ratio; (p=0.0001) This was similar to normal body mass index (n=6) (p=0,0001). The overweight / obese supra type (n=22) and their metabolic types had a significant difference between the ratio of protein intake and recommendaton (P<0.05), it was significantly higher (P<0.0001). In normal body mass index (n=6) there was no significant difference.

Conclusion: Nutrition is determined by our types of preferences and differing from the recommendations is in many cases, but there are cases where there is no difference, the definition of the comparative base is complex, as we try to personalize the diet. There is a correlation between the intake of macronutrients (which would like to be decreased) of the metabolic types and BMI, so in most cases the hypotheses are  mainly correct.The frequent occurrence of adrenal type and gonad type reflects the hungarian nutrition patterns, so most of us should pay more attention to decrease fat and animal products. The basic pillar of personalized medicine is that we do not think in schemas, so the needs of the individual within the type require more attention. The characteristics both of the types requires further research.

Keywords: overweight, obesity, hormonal body type, metabolic type

Intorduction

2/3 of Hungarian society is currently overweight or obese. 40% of men are overweight and 32% are obese, 32% of overweight and obesity in women in both cases, and the value increases with age.1 Among the OECD countries, Hungary is the fourth most obese country and on the top of the podium in Europe.2 Most of the mortality are due to inadequate nutrition, more than smoking-related deaths.3 As we see the nutritional status of Hungary, it can be said that there is an excessive amount of animal product and fat intake,  while fruit, vegetable and cereal consumption is low. The dietary fiber intake is decreasing and sugar consumption is increasing.4 There are countless approaches to treat the obesity. There are many contradictory diets that prove workable for some, but not others, so it could be possible that everyone is right in some cases. Based on this we can see that the treatment should be personalized. David Zeevi researc focusing on postprandial glycemic response to personalize the diet To do this, the carbohydrate content and glycemic index were considered. There are great differences in the same foods in different people postprandal glucose levels that justify to comsumize the diet.5 The influence of the climate on human morphology is significant: the cooler the climate is, the larger the body mass, and the warmer the climate is, the leaner and the taller the body.6 Nutrition is related to our morphology, because our body type is hereditary and most likely the climate has specific dietary patterns.7 Based on these, eating according to our hormonal body type8 and metabolic type9  can be an interesting approach to diets.

Method

N=64, aged at least 18. Sampling is random and not representative. The 95% average confidence interval test compares the nutrition of hormonal body types to WHO recommendations, and the metabolic types nutrition with their recommendations according to The Metabolic Typing Diet. Considering the nutrition of both type to compare the normal bodyweight and overweight / obese nutrition to know how it differs from Metabolic Typing Diet recommendations. The hormonal body type is the baseline, and then we compare the 'limiting' macro-nutrient intake assigned to the hormonal body type with the recommendation of Metabolic Typing Diet according to our metabolic type. Linear regression is used to determine the correlation between the metabolic types and BMI according to the types increasable makronutrients. The data was collected in a questionnaire form, the nutrition status was measured in a one week dietary form, and processed with the help of the MyFitnessPal application. Nutrition status was determined by BMI.

Results

In terms of hormonal body types, the highest proportion of the adrenal (supra) type is present (44%) among the respondents (n=28). This type is followed by the gonads (oestro) type by 25% (n=16), followed by the thyroid (para) type by 22% (n=14), and the pituitary (neuro) type by 9% ( n=6) (Figure 1). The most common  of the metabolic types - or nutritional types - is the mixed type 75% (n=48) followed by the carbohydrate type (16%) (n=10), and finally the protein type (9%) (n=6) ) (Figure 2). In men, the adrenal type was also the most prevalent in hormonal body types with 68% (n=17). This is followed by the thyroid type by 20%, (n=5), and the pituitary gland by 12% and (n=3). None of the respondents included gonads (sex glands).

Figure 1 Abra Hormonal body type rates among 64 participants.
Figure 2 Abra Metabolic type rates among 64 participants.

The ratio in men of the mixed type is the highest with 78% (n=21), and the protein type follows with 15% (n=3) and finally the type of carbohydrate (n=2). 7%. In women, the most common type of hormonal body type is 35%, (n=13) gonad type, followed by adrenal type 33%, (n=12). They follow the thyroid type by 27%, (n=10), and finally the pituitary gland by 5% (n=2). The proportion of women in the metabolism types is 11% protein type (n=3), 16% carbohydrate type (n=8) and 73% mixed type (n=27). Most of the overweight and obese are out of the adrenal type of hormonal body types, but are also the most common among normal body mass indexes – besides the gonads type - but this is also due to the fact that otherwise it is the most common hormonal body type. Obesity did not include any type of thyroid gland, but this group appeared in a large number of overweight people. The prevalence of gonads is the most common in the overweight category.

Number of the hormonal body types in BMI categories (n=64)

Obese

Overweight

Normal

Para

0

10

4

Oestro

2

8

6

Supra

8

14

6

Neuro

1

2

3

Of the metabolic types, the mixed type represents the highest incidence for all BMI categories, which can also be justified by the fact that it is the most common. Carbohydrate types are not obese, only overweight or normal. Protein types are equally present in all categories.

Number of the Metabolic types in BMI categories (n=64)

Obese

Overweight

Normal

Fehérje típus

2

2

2

Szénhidrát típus

0

6

4

Egyensúlyi típus

9

27

12

Body types and their macro-nutrient intake

There is no significant difference in the rate of intake of one macronutrient at the thyroid type, as this type consumes 50E% of carbohydrates, 29E% of fat and 21E% of protein, so it can be said almost the same as the recommendation, but the value of the intake is critical. Protein intake of gonad type was developed according to the recommendation, consuming 21% of it. There was no significant difference in carbohydrate intake, which was taken in 46E%. Fat intake was designed according to the pattern of the type, the members of the group consumed significantly more fat (35E%) than the recommendation would require. Regardless of the type characteristics of the adrenal type, protein consumption was not significantly higher (on average 22E%), but fat consumption was significantly higher - 35E% on average - and carbohydrate consumption was significantly lower with an average 41E% intake.

In the pituitary gland, only the fat consumption was significantly higher, while there was no significant difference between the intake of other macronutrients and the recommendation.

Hormonal body types and macronutrient intake

Protein consumption does not differ significantly from none of the hormonal types (Figure 3).

Figure 3 Percentage of protein intake of the hormonal body types.

Carbohydrate intake was significantly lower in the adrenal type only, with no significant difference in the other types (Figure 4).

There was no difference in the thyroid type in fat intake, but it was significantly higher in all other types (Figure 5).

Figure 4 Percentage of carbohydrate intake of the hormonal body types.
Figure 5 Percentage of fat intake of the hormonal body types.

Both types and BMI

Overweight or obese para type (n=10), of which mixed type (n=8), carbohydrate type (n=2). There was no significant difference between the intake and the recommended carbohydrate ratio in this group (P>0.05; P=0.6)

Normal weight para type (n=4), of which mixed type (n=3), carbohydrate type (n=1). There was no significant difference between the intake and the recommended carbohydrate ratio in this group (P>0.05; P=0.6). Overweight or obese oestro type (n=10) of which mixed type (n=9), carbohydrate type (n=1). There was a significant difference between the intake and the recommended fat ratio (P<0.05) among this group it was in a significantly higher ratio (p=0.0005).

Normal weight oestro type (n=6), of which equilibrium type (n=2), carbohydrate type (n=2), protein type (n=1). There was a significant difference between the intake and the recommended fat ratio (P<0.05) among this group it was in a significantly higher ratio (p=0.0001).

Overweight or obese adrenal type (n=22), of which mixed type (n=29), carbohydrate type (n=0), protein type (n=3).There was a significant difference between the intake and recommended protein ratios (P<0.05) among this group it was in a  significantly higher proportion (P<0.0001).

Normal weight supra type (n=6), equilibrium type (n=4), carbohydrate type (n=1), protein type (n=1).There was no significant difference between the intake and the recommended protein ratios (P>0.05; P=0.1).

Metabolic types macronutrient intake

There was no significant difference between the average carbohydrate consumption rate of the protein type and the average protein consumption of the carbohydrate type, while the other two macronutrients showed a difference in both protein and carbohydrate type. In all cases, the mixed type had a significant difference between the intake and recommended ratios of all macronutrients (Figures 6-8).

Figure 6 Percentage of protein intake of the metabolic types.
Figure 7Percentage of carbohydrate intake of the metabolic types.
Figure 8Percentage of fat intake of the metabolic types.

BMI and metabolic types

There is a positive strong correlation between carbohydrate intake of protein type and BMI (r=0.84), while the carbohydrate intake determines the BMI of protein types by 72%. (p<0.05) (P=0.06), so the correlation is significant.The protein type fat intake and BMI have a positive correlation (r=0.56). There is a positive correlation between carbohydrate fat intake and BMI (r=0.39), so the increase in fat consumption in this type also increases BMI. There is a positive correlation between the protein intake of the type and BMI (r=0.56), so the increase in protein consumption in this type also increases BMI. There is a positive correlation between carbohydrate intake of the mixed type and BMI (r=0.09). There is a positive correlation between protein intake of the mixed type and BMI (r=0.2), so the increase in protein consumption in this type can increase BMI. There is a weak positive correlation between fat intake and BMI (r=0.2), so the increase in fat consumption in this type can increase BMI.

The correlations were only significant for the carbohydrate intake of the protein type (Appendix).

Summary of the results of the hypotheses (Tables 1-3)

Conclusion: Nutrition is determined by our types of preferences and differing from the recommendations is in many cases, but there are cases where there is no difference, the definition of the comparative base is complex, as we try to personalize the diet. There are differences between both types of recommendations of the proportion of macronutrient consumption in most cases, both in hormonal body types and metabolic types. There is a correlation between the intake of macronutrients (which would like to be decreased) of the metabolic types and BMI, so in most cases the hypotheses are mainly correct.

Differences from the recommendation of macro nutrient intake

 

Protein

Carbohydrate

Fat

Para

no difference

no difference

no difference

Oestro

no difference

lower intake

higher intake

Supra

no difference

lower intake

higher intake

Neuro

no difference

no difference

higher intake

 

Protein type

lower intake

no difference

higher intake

Carbohydrate type

no difference

lower intake

higher intake

Mixed type

lower intake

lower intake

higher intake

Table 1 The WHO guidelines are the basis for comparing hormonal body types, and the Metabolic Typing Diets are the the basis for metabolic types

Differences from the recommendation of macro nutrient intake considering both types

 

Protein

Carbohydrate

Fat

Overweight/obese Para and its types

 

no difference

 

Normal BMI Para and its types

 

no difference

 

 

 

 

 

Overweight/obese Oestro

 

 

higher intake

Normal BMI Oestro

 

 

higher intake

 

 

 

 

Overweight/obese Supra

no difference

 

 

Normal BMI Supra

higher intake

 

 

Table 2 Comparison of normal and overweight / obese members of hormonal body types and its metabolic types in the light of the macro-nutrient intake that is wolud like to be reduced, based on the recommendations of The Metabolic Typing Diet

The correlation between some macronutrient intake and BMI in the metabolic types

 

Direction

r

Significance

Protein type carbohydrate intake

positive

0,85

no

Carbohydrate type fat intake

positive

0,39

no

Mixed type carbohydrate intake

positive

0,2

no

Mixed type fat intake

positive

0,09

yes

Table 3 Correlation between the intake of macro nutrients and BMI of the metabolic types

Discussion: An interesting approach Eating according to our types can be an interesting approach to overcome obesity. The frequent occurrence of adrenal type and gonad type reflects the hungarian nutrition patterns, so most of us should pay more attention to decrease fat and animal products. The basic pillar of personalized medicine is that we do not think in schemas, so the needs of the individual within the type require more attention. The characteristics both of the types requires further research. Knowing our types can help us to become more familiar with the function of our bodies, observe its reactions and signals, so we can do for our health this way.

Acknowledgements

None.

Conflict of interest

Author declares there is no conflicts of interest.

References

Creative Commons Attribution License

©2019 Zsálig, et al. This is an open access article distributed under the terms of the, which permits unrestricted use, distribution, and build upon your work non-commercially.