ISSN 2149-2042
e-ISSN 2149-4606
Medeniyet Medical Journal 2018;33(4):314-319
doi:10.5222/MMJ.2018.73558
Original Article/Orijinal Makale
Sports Physiology / Spor Fizyolojisi
The association between ABO, RH blood types and eating
behaviour
ABO ve RH kan tipleri ile yeme davranışı arasındaki ilişki
Serpil ÇEÇEN1 , Canan EREN2
ID
ID
ABSTRACT
ÖZ
Aim: The aim of the present study is to reveal controlled eating,
uncontrolled eating and emotional eating behaviours in women
referred to the outpatient clinic of Sports Physiology with complaints of obesity, and to search whether an association exists between ABO blood types as well as Rh factor and these behaviours
using Three-Factor eating Questionnaire (TFEQ).
Amaç: Çalışmamızın amacı, Spor Fizyolojisi Polikliniğine obezite
nedeniyle başvuran kadınlarda Three-Factor Eating Questionnaire (TFEQ) kullanarak kontrollü yeme, kontrolsüz yeme ve emosyonel yeme davranışını ortaya koymak ve bu davranışların ABO
kan grupları ve Rh faktörü ile ilişkisininin olup olmadığını araştırmaktır.
Method: The women between 18 and 65 years of age who referred because of obesity consisted the obesity group (n=197) whereas a control group (n=95) was created from non-obese women
who referred to the blood bank as blood donors. Body heights of
the women were measured at standing position without shoes.
A complete blood analysis was performed including body weight,
body mass index, fat percentage, fat weight and lean body weight through bio-impedance (Tanita-BC-418 MA III). The participants were asked to reply the three-factor Eating Questionnaire
(TFEQ)-18) which is an international questionnaire evaluating
controlled eating, uncontrolled eating and emotional eating behaviour. Blood type and Rh factor analyses were performed in
the blood bank. The patient data collected within the scope of
the study were analysed through IBM Statistical Package for the
Social Sciences (SPSS) for Windows 20.0 package program.
Yöntem: On sekiz-altmış beş yaş arası obezite nedeniyle başvuran
kadınlardan obezite grubu (n=197), kan bankasına kan dönorü
olarak başvuran obez olmayan kadınlardan kontrol grubu oluşturuldu (n= 95). Düz zeminde, çıplak ayakla boy uzunlukları ölçüldü. Daha sonra bioimpedans (Tanita-BC-418 MA III) cihazında
kilo, beden kitle indeksi, yağ yüzdesi, yağ ağırlığı ve yağsız ağırlığı gösteren tüm vücut analizi yapıldı. Kontrollü yeme, kontrolsüz
yeme ve emosyonel yeme davranışını ölçen uluslararası düzeyde
kullanılan, ülkemizde uygunluğu gösterilmiş çalışmaları olan üç
faktörlü beslenme anketini (Three-Factor Eating Questionnaire
(TFEQ)-18) doldurmaları istendi. Kan grupları ve Rh faktörünün
tayini kan bankasında gerçekleştirildi. Çalışma kapsamında toplanan hasta verileri IBM Statistical Package for the Social Sciences (SPSS) for Windows 20.0 paket programı ile analiz edildi.
Results: Cognitive restraint was detected to be higher in the blood type A when compared with blood type O whereas uncontrolled eating and emotional eating behaviour were not affected by
ABO blood types and Rh factor.
Conclusion: A significant result for controlled restriction only
in blood type A may guide new studies that will investigate the
effect of ABO blood group antigens and Rh factors on eating
behaviour.
Keywords: Obesity, blood groups, eating behaviour
Bulgular: Cognitive restraint (Bilişsel kısıtlama) A kan grubunda
O grubuna gore daha yüksek oranda belirlenirken, kontrolsüz
yeme ve emosyonel yeme davranışının ABO kan gruplarından ve
Rh faktöründen etkilenmediği belirlendi.
Sonuç: Bu çalışmada yalnızca A kan grubunda kontrollü kısıtlama
açısından anlamlı sonuç belirlenmesi ABO kan grubu antijenlerinin ve Rh faktörünün yeme davranışı üzerine etkisini araştırmak
açısından daha yeni çalışmalara yol gösterici olabilir.
Anahtar kelimeler: Obesite, kan grupları, yeme davranışı
Received: 17.08.2018
Accepted: 11.10.2018
1
Marmara University Pendik Training and Research Hospital, Department of Sports Physiology, İstanbul, Turkey
2
Marmara University Pendik Training and Research Hospital, Department of Blood Bank, İstanbul, Turkey
Corresponding author: Serpil Çeçen, Marmara University Pendik Training and Research Hospital, Department of Sports Physiology, İstanbul, Turkey
e-mail: tahirer34@gmail.com
ORCID ID’s:
S.Ç. 0000-0002-7908-5208, C.E. 0000-0003-4726-8840
314
S. Çeçen et al., The association between ABO, RH blood types and eating behaviour
INTRODUCTION
Since obesity is a significant health problem whose
incidence increases rapidly all over the world; number of investigations on obesity also increase. Obesity
is defined as a supraphysiological increase of adipose
tissue in the body1. Increase in adipose tissue leads
to an increase in the risk of development of some
diseases including Type 2 diabetes mellitus, coronary
heart disease and cancer2. Obesity has been known
to have multifactorial etiology and also associated
with the eating behaviour of the individual. Food
type choice, food intake and meal time are determined by eating behaviour3. Eating behaviour may vary
in certain cases such as different mood, environmental and social factors4. Therefore, it is important to
understand why we eat.
Three-Factor Eating Questionnaire (TFEQV) is a method used for such objective which was firstly published by Stunkard and Messick in 1985. The questionnaire includes 51 items and evaluates the desire to
eat in three categories as as restraint, disinhibition
and hunger5. Later, Karlsson et al.6 revised the aforesaid questionnaire and limited with 18 questions
which assess cognitive restraint, uncontrolled eating
and emotional eating. The three eating behaviours
assessed by TFEQ-18 include cognitive restraint (questions 2, 11, 12, 15, 16, and 18), uncontrolled eating
(questions 1, 4, 5, 7, 8, 9, 13, 14 and 17) and emotional eating (questions 3, 6, and 10). Cognitive restraint is defined as being consciously careful in food
selection not to gain weight7. Uncontrolled eating is
defined as a strong desire for food consumption without thinking its consequences, emotional eating is
also defined as increased food consumption in response to negative emotional stimuli such as anxiety,
depression and anger6,8.
ABO blood groups were first identified by Karl Landsteiner in 1901 according to presence of A and B antigens on membrane of red blood cells. Landsteiner
and Alexander Wiener identified the Rh factor together in 1940-19419,10. The antigens of the ABO blood
group system are complex carbohydrate molecules
on the extracellular surface of red blood cell membranes11. ABO antigens are also highly expressed on
the surface of a variety of human cells and tissues
including the epithelium, sensory neurons, platelets,
and the vascular endothelium12. Although existence of the association between blood types and the
mood is limited with previous studies, it was shown
that groups O and B are active, aggressive, progressive, and positive; and groups A and AB are conservative, passive, defensive, negative personalities13.
Since the association between the mood and eating
behaviour is known, the aim of the present study is
to show if any association exists between the blood
types and eating behaviour14.
MATERIAL and METHODS
This study was conducted in the Sports Physiology
Clinic of the Marmara University Pendik Training and
Research Hospital, Istanbul, Turkey. The subjects in
the obese group were the female outpatients of the
clinic aged between 18 and 65 years old. A control
group was created from non-obese individuals who
referred to donate blood to the hospital’s blood
bank. Body height was measured on a flat surface
without shoes; weight, BMI, fat percentage, fat mass
and fat free mass of the patients were determined
using a bio-impedance device (Tanita-BC-418 MA III).
After collection of 2 ml of blood from each patient
into EDTA containing tubes, ABO and Rh blood groups were determined via Forward Reverse Microplack method.
Statistical methods: The patient data collected within the scope of the study were analysed using IBM
Statistical Package for the Social Sciences (SPSS) for
Windows 20.0 package program. Frequency and percentage were used for discrete data whereas mean ±
standard deviation, median, minimum and maximum
values were used for continuous data. The independent sample’s T-test was used to compare averages
of two groups whereas ANOVA test was utilized to
compare averages of three groups. Chi-Square Test
was used to compare two discrete groups. The change in questionnaire scores according to the study gro-
315
Med Med J 2018;33(4):314-319
ups was examined; ANCOVA Test was used to analyse
the effect of blood type. The p value below 0.05 was
accepted as statistically significant.
Table 2. Distribution of Blood groups.
Blood Group
n
%
Obesity (n=197) 0
A
B
AB
57
84
29
27
28.9
42.6
14.7
13.7
Control (n=95)
0
A
B
AB
40
33
15
7
42.1
34.7
15.8
7.4
Overall (n=292)
0
A
B
AB
97
117
44
34
33.2
40.1
15.1
11.6
Rh Factor
n
%
Obesity (n=197) Positive
Negative
177
20
89.8
10.2
Table 2 shows the distribution of blood groups. While obese group had a higher percentage of A blood
type, O blood type percentage was higher in the
control group.
Control (n=95)
Positive
Negative
78
17
82.1
17.9
Overall (n=292)
Positive
Negative
255
37
87.3
12.7
Table 3 illustrates the Rh factor distribution. Both
obese and control groups had higher percentage of
Rh positive values.
The cognitive restraint was detected to be higher in
blood group A than blood group O; and uncontrolled,
and emotional eating behaviours were not affected
by ABO blood groups and Rh factor (Tables 4, 5, 6).
Approval of the Ethics Committee: The present
study was approved by the Research Ethics Committee. Participants were informed that their participation is completely voluntary; and written consent was
obtained from each participant.
RESULTS
Table 1 shows average values for age, weight, body
mass index, fat percentage, fat weight and fat -free
weight of obese and control individuals who took
part in our study. The average body weights for the
obese, and the control groups were 90, and 55.8 kg,
respectively.
Table 3. Distribution of Rh factor.
Table 1. Distribution of demographic characteristics of the Participants.
Age
(year)
Height
(cm)
Weight
(kg)
Body Mass Index
(BMI)
Body Fat
Percentage
Body Fat
Mass
Body Muscle
Mass
Obesity (n=197)
Mean
Median
Std. Deviation
Minimum
Maximum
33.7
34.0
7.6
17.0
54.0
159.9
159.0
6.2
143.0
180.0
90.1
84.4
22.6
55.8
167.6
35.2
33.4
7.8
24.3
65.5
40.8
40.0
6.8
25.6
63.1
37.9
33.
15.7
15.6
99.0
52.2
50.8
7.6
38.4
77.6
Control (n=95)
Mean
Median
Std. Deviation
Minimum
Maximum
30.7
30.0
7.6
17.0
49.0
161.0
161.0
6.2
137.0
179.0
55.8
55.0
8.9
35.1
99.3
21.4
21.1
2.7
16.6
39.8
24.0
24.0
6.6
7.8
46.9
14.0
13.5
6.1
3.7
46.6
41.6
41.6
3.6
31.4
52.8
Overall (N=292)
Mean
Median
Std. Deviation
Minimum
Maximum
32.7
33.0
7.7
17.0
54.0
160.3
160.0
6.2
137.0
180.0
78.9
74.9
25.0
35.1
167.6
30.7
29.7
9.2
16.6
65.5
35.3
36.3
10.3
7.8
63.1
30.2
27.1
17.4
3.7
99.0
48.8
47.8
8.2
31.4
77.6
316
S. Çeçen et al., The association between ABO, RH blood types and eating behaviour
Table 4. Comparison results of subgroups of eating questionnaire according to blood groups.
Table 7. Evaluation of eating behaviours according to groups.
Group
Blood Group (Obesity)
Cognitive restraint
Uncontrolled Eating
Emotional Hunger
0
A
B
AB
0
A
B
AB
0
A
B
AB
n
Mean Std. Deviation p
57
84
29
26
57
84
29
26
57
84
29
27
2.42
2.73
2.70
2.57
2.31
2.24
2.29
2.26
2.68
2.45
2.51
2.58
0.614
0.588
0.623
0.658
0.663
0.669
0.716
0.715
1.006
0.985
0.932
0.927
0.954
Cognitive Restraint Obesity
Control
Uncontrolled Eating Obesity
Control
Emotional Hunger Obesity
Control
0.579
DISCUSSION
p<0.05
Table 5. Results of subgroups of eating questionnaire according
to Rh factor.
Rh Factor (Obesity)
n
Mean Std. Deviation p
Cognitive restraint
Positive
Negative
Uncontrolled Eating Positive
Negative
Emotional Hunger Positive
Negative
176
20
176
20
177
20
2.59
2.78
2.29
2.14
2.54
2.55
Rh Factor (Control)
n
Mean Std. Deviation P
Cognitive restraint
78
17
78
17
78
17
2.31
2.28
1.99
1.96
1.93
1.86
Positive
Negative
Uncontrolled Eating Positive
Negative
Emotional Hunger Positive
Negative
0.617
0.642
0.661
0.801
0.963
1.088
0.651
0.606
0.624
0.620
0.787
0.825
0.208
0.360
0.987
0.873
0.852
0.732
Table 6. Results of subgroups of eating questionnaire according
to blood groups.
Blood Group (Control)
n
Mean Std. Deviation p
Cognitive restraint
0
A
B
AB
40
33
15
7
2.31
2.32
2.35
2.04
0.639
0.655
0.666
0.598
0.740
Uncontrolled Eating
0
A
B
AB
40
33
15
7
2.00
1.90
1.99
2.31
0.584
0.662
0.576
0.735
0.476
Emotional Hunger
0
A
B
AB
40
33
15
7
1.99
1.82
1.86
2.09
0.821
0.791
0.814
0.629
0.763
n
Mean Std. Deviation p
196
95
196
95
197
95
2.61
2.30
2.27
1.99
2.54
1.92
0.620
0.640
0.676
0.620
0.973
0.790
p<00.1
p<00.5
p<00.1
The frequency of cognitive restraint was detected to be
higher in obese people with blood type A when compared to those with blood type O; it was also detected
that uncontrolled eating and emotional behaviours are
not affected by ABO blood groups and Rh factor.
The association between eating behaviours and
obesity:
There are studies suggesting that eating behaviour is
an important factor for obesity and depends on BMI
and gender. It was shown that uncontrolled eating,
cognitive restraint and emotional eating behaviour
increase with increasing BMI15. Restraint and Disinhibition scores were shown to be higher in females
when compared with males16. In a study where TFEQ
was used, it was noted that women who had higher
levels of worry and anxiety more frequently displayed
much higher level of emotional eating behavior17. In
a study carried out with two groups including nonobese adults and teenagers, cognitive restraint (CR)
and emotional eating (EE) were detected more frequently in females of both groups according to TFEQR18 scores18. The cognitive restraint scale scores were
found to be significantly lower whereas uncontrolled
eating and emotional eating scale scores were detected to be lower in the individuals with lower BMI when
compared to overweighed individuals in a study conducted on adolescents between 17 and 19 years of
age in Kırklareli University; however, the results were
not statistically significant19. In the present study,
uncontrolled eating, cognitive restraint and emotional eating behaviour appears to be more frequent in
the obesity group when compared with the control
317
Med Med J 2018;33(4):314-319
groups (Table 7). Although there is not any significant
difference between groups A and O in terms of body
weight and BMI, while restriction behaviour was less
frequently detected in patients with blood group A
when compared with those with group O.
The association between the blood groups and
obesity:
There are studies suggesting the possible association
between obesity and blood groups. In a study conducted on Turkish seafarers, groups AB Rh (+) and AB
Rh (-) were associated with the highest (13.7% and
13.6%, respectively) and B Rh (+) and B Rh (-) with
the lowest percentages (11.6% and 11.3%, respectively) of obese subjects20. The individuals with B Rh
(+) blood type were found to be more susceptible for
obesity. This case was explained by the assertion that
patients with blood group B may be more inclined
to obesity21,22. However, there was not any association detected between obesity and blood groups in a
study conducted in Saudi Arabia23.
The association between blood groups and diseases:
to be genetically associated with schizophrenia and
depression, respectively29.
In previous studies, dopamine-3-hydroxylase enzyme
activity which induces transformation of dopamine to
norepinephrine was found to be lower in blood group O; therefore the individuals with blood group O
were considered as more susceptible for psychiatric
diseases. Dopamine-3-hydroxylase enzyme activity
was shown to be controlled by a locus dependent on
ABO blood group locus30-32.
Despite different incidence rates and conflicting studies, the association shown between depression and
blood groups is considered to affect eating behaviour. The association between emotional eating behaviour and depression is well known33. It is also known
that such eating behaviour uses the dependence
mechanism34. Existence of an association between
AB, Rh negative blood group and opioid addiction
was considered to be related to locus of a gene on
chromosome 635. However, any association between
Rh factor and emotional eating behaviour could not
be detected in the present study.
It was considered in 1953 that the individuals with
A blood group had more risk for gastric cancer24, in
another study, the non-O blood groups were found to
be associated with renal cell cancer, coronary artery
disease, myocardial infarction, venous thrombosis2527
which was suggested as dependent to the antigens
and ABO locus. The significance in controlled restriction behaviours in the blood group A in the present
study supports the aforesaid studies suggesting the
possible effect of antigen and gene locus.
CONCLUSIONS
The association between the blood groups and
mood:
REFERENCES
Despite conflicting outcomes, there are studies suggesting the association between blood groups and
psychiatric diseases. The studies have detected that
psychiatric diseases are three-fold more common in
individuals with AB blood groups when compared
with other groups28. Groups A and O were found
318
Since the association between obesity and diseases
is known, we wanted to show the effects of blood
groups on eating behaviours due to the blood group
antigens. However, we believe that the significant result obtained in blood group A only would guide the
further studies that will search the effect of blood
group antigens and ABO gene locus on eating behaviour.
1. Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013:
a systematic analysis for the Global Burden of Disease Study
2013. Lancet. 2014;30;384:766-81.
https://doi.org/10.1016/S0140-6736(14)60460-8
2. Peter G. Kopelman. Obesity as a medical problem. Nature.
2000;404:635-643.
https://doi.org/10.1038/35007508
3. Blundell JE, Stubbs RJ, Golding C, Croden F, Alam R, Whybrow
S. Çeçen et al., The association between ABO, RH blood types and eating behaviour
4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
15.
16.
17.
18.
S, et al. Resistance and susceptibility to weight gain: Individual variability in response to a high-fat diet. Physiology and
Behavior. 2005;86:614-622.
https://doi.org/10.1016/j.physbeh.2005.08.052
French SA, Epstein LH, Jeffery RW, Blundell JE, Wardle J. Eating behavior dimensions. Associations with energy intake
and body weight. A review. 2012;59(2):541-549.
Stunkard AJ, Messick S. The three-factor eating questionnaire to measure dietary restraint, disinhibition and hunger. J
Psychosom Res. 1985;29:71-83.
https://doi.org/10.1016/0022-3999(85)90010-8
Karlsson J, Persson L-O, Sjöström L, Sullivan M. Psychometric
properties and factor structure of the Three-Factor Eating
Questionnaire (TFEQ) in obese men and women. Results
from the Swedish Obese Subjects (SOS) study. Int J Obes.
2000;24:1715-25.
https://doi.org/10.1038/sj.ijo.0801442
Hays NP, Bathalon GP, McCrory MA, Roubenoff R, Lipman R,
Roberts SB. Eating behavior correlates of adult weight gain
and obesity in healthy women aged 55-65 y. Am J Clin Nutr.
2002;75:476-83.
https://doi.org/10.1093/ajcn/75.3.476
Oliver G, Wardle J, Gibson EL. Stress and food choice: a laboratory study. Psychosom Med. 2000;62(6):853-65.
https://doi.org/10.1097/00006842-200011000-00016
WM Watkins. The ABO blood group system: historical background. Transfusion Medicine. 2001;11:243-265.
https://doi.org/10.1046/j.1365-3148.2001.00321.x
Hans Peter Schwarz. Historical Review. Karl landsteıner and
hıs major contrıbutıons to haematology. British Journal of
Haematology. 2003;121:556-565.
https://doi.org/10.1046/j.1365-2141.2003.04295.x
Storry JR, Olsson ML. The ABO blood group system revisited:
a review and update. Immunohematology. 2009;25:48-59.
Eastlund T. The histo-blood group ABO system and tissue
transplantation. Transfusion. 1998;38:975-88.
https://doi.org/10.1046/j.1537-2995.1998.381098440863.x
Furukawa T. A study of temperament by means of human blood groups. Japanese Journal of Psychology. 1927;2:612-634.
https://doi.org/10.4992/jjpsy.2.612
Christensen L. Effects of eating behavior on mood: a review
of the literature. The International Journal of Eating Disorders. 1993;14:171-183.
https://doi.org/10.1002/1098-108X(199309)14:2<171::AIDEAT2260140207>3.0.CO;2-U
Loffler A, Luck T, Then FS, Sikorski C, Kovacs P, Bottcher Y,
et al. Eating Behaviour in the General Population: An Analysis of the Factor Structure of the German Version of the
ThreeFactor-Eating-Questionnaire (TFEQ) and Its Association
with the Body Mass Index. PloS one 2015;10:e0133977.
https://doi.org/10.1371/journal.pone.0133977
Provencher V, Drapeau V, Tremblay A, Després J-P. Lemieux, S. Eating Behaviors and Indexes of Body Composition in
Men andWomen from the Québec Family Study. Obes Res.
2003;11:783-792.
https://doi.org/10.1038/oby.2003.109
Mostafavi SA, Akhondzadeh S, Mohammadi MR, Eshraghian MR, Hosseini S, Chamari M, Keshavarz SA. The Reliability
and Validity of the Persian Version of ThreeFactor Eating
Questionnaire-R18 (TFEQ-R18) in Overweight and Obese Females. Iran J Psychiatry. 2017;12(2):100-108.
Lauzon B, Romon M, Deschamps V, Lafay L, Borys JM, Karlsson J, Ducimetie P, Charles MA, Fleurbaix Laventie Ville Sante
(FLVS) Study Group. The Three-Factor Eating Questionnaire-
19.
20.
21.
22.
23.
24.
25.
26.
27.
28.
29.
30.
31.
32.
33.
34.
35.
R18 Is Able to Distinguish among Different Eating Patterns in
a General Population. J Nutr. 2004;134:2372-2380.
https://doi.org/10.1093/jn/134.9.2372
Nogay NH. The role of psychological eating styles in obesity
among Turkish adolescents: A cross-sectionalstudy The Journal of Pakistan Asociation. 2017;573-576.
Nas S, Fışkın R. A research on relationship between ABO blood groups and body mass index among Turkish seafarers. International Maritime Health. 2017;68:140-146.
https://doi.org/10.5603/IMH.2017.0025
Sukalingam K, Ganesan K. Rhesus blood groups associated with risk to obesity and diabetes mellitus: A report on
Punjabi population in Selangor, Malaysia. Int J Intg Med Sci.
2015;2(4):105-109.
Chandra T, Gupta A. Association and Distribution of Hypertension, Obesity and ABO Blood groups in Blood Donors. Iranian
Journal of Pediatric Hematology Oncology. 2012;2:140-145.
Aboel-Fetoh NM, Alanazi AR, Alanazi AS, Alruwili AN. ABO
blood groups and risk for obesity in Arar, Northern Saudi
Arabia. Journal of the Egyptian Public Health Association.
2016;91:169-173.
Aird I, Bentall HH, Roberts JA. A relationship between cancer of
stomach and the ABO blood groups. Br Med J. 1953;1:799-801.
https://doi.org/10.1136/bmj.1.4814.799
Hee-Kyung Joha, Eunyoung Choa, and Toni K. Choueirie .ABO
blood group and risk of renal cell cancer. Cancer Epidemiol.
2012;36:528-532.
https://doi.org/10.1016/j.canep.2012.07.001
Takagi H, and Umemoto T. Meta-analysis of non-o blood group as an independent risk factor for coronary artery disease.
American Journal of Cardiology. 2015;116;699-704.
https://doi.org/10.1016/j.amjcard.2015.05.043
Dentali F, Sironi AP, Ageno W, Turato S, Bonfanti C, Frattini F,
Crestani S, Franchini M. Non-O blood type is the commonest
genetic risk factor for VTE: results from a meta-analysis of
the literature. Semin Thromb Hemost. 2012;38:535-48.
https://doi.org/10.1055/s-0032-1315758
Pisk SV, Tomislav Vuk T, Ivezić E, Jukić I, Bingulac-Popović J,
Filipčić I. ABO blood groups and psychiatric disorders: a Croatian study Blood Transfus. 2018;15:1-6.
Irvine DG, Miyashita H. Blood types in relation to depressions and schizophrenia: a preliminary report. Can Med Assoc
J. 1965;92:551-4.
Meijas-Aponte CA. Specificity and impact of adrenergic
projections to the midbrain dopamine system. Brain Res.
2016;15:258-73.
https://doi.org/10.1016/j.brainres.2016.01.036
Morison J. Exploring the link between ABO blood-group philosophy and stress-response. Eur J Clin Hynosis. 2004;5:16-30.
Wilson AF, Elston RC, Siervogel RM, et al. Linkage of gene regulating dopamine-β hydroxylase activity and the ABO blood
group locus. Am J Hum Genet. 1988;42:160-6.
Van Strien T, Konttinen H, Homberg JR, Engels RC, Winkens
LH. Emotional eating as a mediator between depression and
weight gain. Appetite. 2016;100:216-24.
https://doi.org/10.1016/j.appet.2016.02.034
Volkow ND, Wang GJ, Baler RD. Reward, dopamine and the
control of food intake: implications for obesity. Trends Cogn
Sci. 2011;15:37-46.
https://doi.org/10.1016/j.tics.2010.11.001
Aflatoonian MR, Meymandi MS, Divsalar K, Mahmoudi M,
Heravi G. Possible association between human blood types
and opioid addiction. Am J Addict. 2011;20:581-4.
https://doi.org/10.1111/j.1521-0391.2011.00170.x
319