Content uploaded by Saeid Doaei
Author content
All content in this area was uploaded by Saeid Doaei on Feb 24, 2016
Content may be subject to copyright.
Birth Order and Sibling Gender Ratio of a Clinical Sample
43
Iranian J Psychiatry 11:1, Jan 2016 ijps.tums.ac.ir
The association between Dairy Intake, Simple Sugars and
Body Mass Index with Expression and Extent of Anger in
Female Students
Naser Kalantari, MD1
Saeid Doaei, Msc2
Maedeh Gordali, Bs3
Ghazal Rahimzadeh, Msc 4
Maryam Gholamalizadeh, Msc 5
1. Department of Nutrition and Food
Sciences, Shahid Beheshti
University of Medical Sciences,
Tehran, Iran
2. Student’sResearchCommittee,
National Nutrition and Food
Technology Research Institute,
faculty of Nutrition Sciences and
Food Technology, Shahid Beheshti
University of Medical Sciences,
Tehran, Iran.
3. Department of Community
Nutrition, Shahid Beheshti
University of Medical Sciences,
Tehran, Iran
4. Department of Food Science and
Technology, Science and Research
Branch, Azad University,
Tehran, Iran
5. Food Security Research Center,
Department of Clinical Nutrition,
School of Nutrition and Food
Sciences, Isfahan University of
Medical Sciences, Isfahan, Iran
Corresponding author:
Saeid Doaei,
Faculty of Nutrition Sciences
and Food Technology, Shahid
Beheshti University of Medical
Sciences, Tehran, Iran
Tel: +98 21 66902061
Fax: +98 21 66902038
Email: sdoaei@sbmu.ac.ir
Objective: A significant increase in violence in the world and its impact
on public health and society can be an important reason to offer solutions
to reduce or control anger. Studies have shown that specific food groups
may be effective in controlling mental disorders such as depression,
anxiety and anger. The purpose of this study was to determine
the relationship between food intake and Body Mass Index on state-trait
anger expression in female students of Shahid Beheshti University of
Medical Sciences.
Method: In this cross-sectional study, 114 female students were
randomly selected from dormitories of Shahid Beheshti University of
Medical Sciences. Body height and weight were measured using the
scale and stadiometer, respectively. The required data for evaluating the
relationship between state-trait anger expression and food consumption
groups were collected using State-Trait Anger Expression Inventory-2
(STAXI-2) and Food Frequency questionnaires.
Results: The results revealed a significant negative correlation between
consumption of dairy product and trait anger (angry reaction), (P = 0.015).
This association remained significant after adjustment of confounding
factors. No significant correlations were found between other food groups
as well as BMI and state-trait anger expression.
Conclusion: The higher intake of dairy products reduced state-trait anger
expression. This result is consistent with the findings of many studies on
the effect of dairy consumption on mental disorders. Therefore,
consumption of dairy products can be a solution for reducing anger.
Key words: Anger, Body Mass Index, Food intake
Anger has been characterized as a complex construct
including hostility, irritability and aggressive behavior
(1). Anger can be defined as an emotional response or
internal feeling which is caused by physiological
excitation, cognition and malice thoughts
(2). Nevertheless, anger is an emotion of satisfaction
that prepares us to face the potential surrounding risks.
On the other hand, destructive impact of anger may
have detrimental effects on humans and their
environments (3). Anger is a robust risk factor for
Coronary Heart Disease (CHD) (4, 5), Cancer (6), and
Eating disorders (7) which can affect the quality of life
(8, 9). Demark et al. (2011) have reported that over
36% of patients with brain injury have shown anger
and aggression states (10). The effects of diet have
been reported on depression (11), fervour (12), brain
function (13, 14), stress response system (15), and
oxidative reactions (16). On the other hand, many
people eat to overcome emotional problems, mental
pressure and anxiety (17, 18). There has been a
positive correlation between obesity and some mental
disorders including depression and anxiety (19, 20).
Eating disorders in response to mental stress, fatigue,
Original Article
Iran J Psychiatry 2016; 11:1: 43-50
Kalantari, Doaei, Gordali et al
44
Iranian J Psychiatry 11:1, Jan 2016 ijps.tums.ac.ir
anxiety, stress and depression have been reported (21,
22).
Many studies found that lack of micronutrients such as
Zinc (23), vitamin E, Iron, Calcium, Iodine, Selenium,
Folic acid (24), vitamin C (25), Choline (26), and
vitamin D (27) is common among students all over the
world. On the other hand, residency in dormitories can
exacerbate the nutritional risk factors among students.
Previous study showed that nutritional status of
students living in the dorms were different from
other students. Food consumption in dormitory
students was decreased when entering university (28)
and significant drop in food intake quality was
observed in half of the dormitory students (29).
Furthermore, despite the lack of some micronutrients
intake, the nutritional status of students who were not
living in the dorms were more acceptable compared to
the dormitory students (30).
Previous studies about the effects of food and nutrient
intake on mental disorders illustrated that a high intake
of low-fat dairy products (31), decrease in consumption
of fast food (32), using the Mediterranean Diet (33),
and consumption of omega-3 fatty acids (34) and
magnesium (35) supplements can result in reducing
depression, anxiety and stress.
Further studies that investigated the relationship
between food consumption and mental conditions have
considered the prevalence of depression and its relation
to food intake (36, 37). Although anxiety has been a
common problem among students (38), no study was
conducted on the relationship between diet and
stressful situations (such as anger). Considering the
results of studies conducted on the relationship
between dietary intakes and mental disorders, we chose
two food groups for evaluation.
Therefore, the purpose of this research was to
determine the relation between dietary intake of dairy
foods, simple sugars and BMI with states of anger in
female students of a dormitory in Shahid Beheshti
University of Medical Sciences, Tehran, Iran.
Materials and Method
In this cross-sectional study, 114 resident students
accommodating Fatima Zahra dormitory at Shahid
Beheshti University of Medical Sciences were
randomly selected and examined. This study was
conducted from spring 2014 to autumn 2015.
Initially, students' weight and height were measured
using Seca Scales (precision of 1 kg) and a tape
measure (accuracy of 1 cm), respectively. After
calculating the Body Mass Index, each participant was
asked to complete the Anger Questionnaire,
designed by Spielberger, validated by Barabadi in Iran,
to measure anger in teens and adults (39). Spielberger
and Brenner introduced this scale in 2003 and
published it in 2009 to evaluate experience, expression,
control and taming of anger. This questionnaire
consists of 35 items, 4 subscales and 3 sections; the
first part has 10 items, the second part contains 10
items, and the third part has 15 items, which evaluate
anger state, anger trait and expression and control of
anger, respectively. All sections of the questionnaire
were calibrated using 3-point Likert scale.
To score the first section, the statements were
identified as "never, a little, and very high" and scored
as 1, 2, 3, respectively. To score the second section and
5 questions of the third section (which represents the
expression of anger), the statements were identified as
"very little, sometimes, and often" and scored as 1, 2,
3, respectively. To score the remaining questions in the
third section (which represent the control of
anger), scoring was done inversely, namely the score of
"very little" was 3, the statement of "sometimes" was
scored as 2, and the phrase "often" was awarded a score
of 1 (40). The first part with the phrase "I feel right
now ..." measured the state of anger (41) which graded
the intensity of feeling. This section with 10 items
included the anger state and subscales cases as follows:
(a) Sense of Furiously (42), (b) Willingness to
Verbal Expression of Anger (43), and (c) Trend to
Physical Expressions of Anger (44). The second
section, entitled "I feel usually…. "Involved 10 items
to measure trait anger (45), and was graded as the first
part. The scale of trait anger has two subscales of angry
state (46) and angry reaction (47). The title of the third
section was "What is your behavioral reactions in
angry mood?" that measured the expression and control
of anger, and included four scales that involved
subscales as follows: (a) Outer anger impart (48),
(b) inner’sanger impart(49),c:Controlof outeranger
(50) and (d) control of inner anger (51).
The food frequency questionnaire was used to
investigate the intake of dairy food groups and simple
sugars. This questionnaire was used to assess the
frequency of food intake in a day, week or month. To
facilitate the evaluation of this method, foods
were organized as groups with similar nutrients. Since
Food Frequency Questionnaire is based on frequency
of food intake (not only specific nutrient), the obtained
information was related to specific food group not
specific nutrients (52). All participants signed
the informed consent to participate in the study.
Linear regression was used for data analysis. Data were
recorded as mean±standard deviation (SD). A
statistical package (SPSS, version 21.0 for Windows,
SPSS Inc.) was used for data processing. Differences
were considered significant at p <0.05.
Results
The personal characteristics of the study population are
shown in Table 1. In the current study, 70% of the
population aged between 20 to 25 years old. With
respect to the academic degree, they were divided into
three groups of Bachelor, MSc, and PhD. The number
of students studying in each of these three groups was
equal. In this community, the BMI was 21.61±2.79 that
was in the normal range. 13% of the Body Mass
Index was less than 18.5; and 75% of the Body Mass
Food intake and anger expression
45
Iranian J Psychiatry 11:1, Jan 2016 ijps.tums.ac.ir
Index was between18.5 to 24.9, and 12% of the body
mass index was greater than or equal to 25, which was
considered as overweight or obese.
With regards to anger measurements, for the first
section, the mean of calculating the score was 13 out of
30. For trait anger, the calculated score was a little
more than anger state (18.75 of 30). On the other hand,
the resulting score for the third section
(anger expression) was relatively high (28.35 of 45).
With respect to food groups intake, the average
consumption of dairy products in this study was
approximately 4 servings per day. According to the
values recommended for adults, intake of dairy
products should be at least 2 servings per day (50).
Therefore, the dairy intake of the study population was
averagely more than the minimum recommended
values. The mean intake of simple sugars was
approximately 7 servings per day that was higher than
allowable values (0-3 servings) (50).
In this study, a significant inverse relationship was
found between dairy consumption and trait anger
(reacted furiously and angry state) (P = 0.015). On the
other hand, there was not a significant correlation
between dairy intake and simple sugars with
other subscales of anger (state and expression of
anger). Furthermore, there was a negative relevance
between age and anger trait by investigating each
parameters of age, height, weight, and Body Mass
Index and its relationship with anger (P=0.028).
Overall, age increase from 20 to 36 reduced levels of
trait anger.
No significant relevance was found between Body
Mass Index and other subscales of anger (state and
expression of Anger). The relevance between dairy
consumption, simple sugars, age and anthropometric
indices with all anger subscales is demonstrated in
Table 2.
One of the confounding variables in this study was
supplements intake by students. To eliminate the effect
of confounding variables and measuring the effect of
calcium supplementation on the relationship between
anger and dairy intake, all persons who were
consuming calcium supplements or multivitamin-
mineral (14) were excluded from the study, and the
results were reviewed. After the removal of the
confounding variables, the relationship between dairy
consumption and trait anger remained significant (P =
0.027). Table 3 displays the relationship between dairy
consumption and trait anger after removing the
confounding variables.
Discussion
There was a negative correlation between dairy intake
(on levels recommended by the Food Guide Pyramid)
and trait anger (reacted furiously and angry state) (P-
value = 0.015). Therefore, students who had more dairy
products were less in angry states and had low angry
reactions. Miyake et al. reported similar results and
showed that more consumption of yogurt and calcium
was associated with less rampancy of
depression symptoms (53). Crichton et al. reported that
consumption of some low-fat dairy products had
beneficial effects on social functioning, stress and
memory (54). Moreover, Roohafza et al. found that
more consumption of dairy products respond to low
stress levels (55). This effect may be due to the high
content of tryptophan (essential amino acid) in dairy
products. Tryptophan is a precursor for serotonin (a
neurotransmitter in brain) that has a significant effect
on mental states. In most previous studies, levels
of brain’s serotonin in patients with depression and
anxiety were lower than healthy subjects (56). Duke
(57) and Giessen et al. (58) showed that serotonin
function has an inverse correlation with the degree of
anger and hostility.
Moreover, this effect can be related to the antioxidant
content of dairy products such as vitamins A and B2
1
(57). Antioxidants can affect oxidative stress, which
may lead to slower neuronal changes that are
associated with depression in old age (59).
In this research, no significant correlation was found
between intake of simple sugars, and the expression
and extend anger subscales; these results were also
confirmed in other studies. On the other hand, Keith et
al. found that low-carbohydrate diet in female group is
associated with depression and anger (60). In the
current study, consumption of simple sugars (not total
carbohydrate) in the long-term (1 year) was evaluated,
and these factors may cause the differences in the
results. There was not a significant effect of Body Mass
Index on expression and extent of observed anger.
Similarly, Arian et al. (61) and Ahmadi et al. (62)
investigated that the prevalence of mental health
problems had no significant relationship with
anthropometric indices (including BMI).
No association was found between BMI and depression
in any other similar studies (63-65). However, in some
cases, a significant positive correlation was detected
between depression and Body Mass Index (66-69).
These differences in the results can be related to
several factors such as age, gender, socioeconomic and
cultural factors that affect this relationship.
Furthermore, social attitudes to obesity should be
considered as a important cultural factor (70).For
example, in Western culture, negative attitudes
toward obesity can influence self-esteem and cause
depression (71). While in some other societies larger
body size is accepted (72).
1
Vitamin B2 is one of many nutrients required to
recycle glutathione, which is one of the most important
antioxidants in the human body. From a
chemical standpoint, what B2 does is facilitate the
conversion of oxidized glutathione into reduced
glutathione.
Kalantari, Doaei, Gordali et al
46
Iranian J Psychiatry 11:1, Jan 2016 ijps.tums.ac.ir
Limitations
Since only female students and limited dormitories
were evaluated in this study, conducting similar
research with larger samples is required. In addition,
investigation of other food groups associated with
anger is a suggestion that can be offered in relation
to this research. The findings of this study are based on
cross-sectional data, and a important avenue for future
research will be to replicate these studies with
causal structures using longitudinal data.
Conclusion
Life quality can be affected by mental health as well as
physical health. According to the results of this study,
more consumption of dairy food group decreases the
trait anger. Since the subscale of trait anger included
angry state and angry reaction, it can be concluded that
dairy products intake has a positive effect on both
temperament during long time and immediate reaction
to oppositions. Therefore, intake of dairy products
can be suggested as a nutritional strategy for reducing
anger and increasing soothe.
Acknowledgement
We thank all of the participants and questionnaire
respondents for their contribution to this study. This
work was supported by the Student’s Research
Committee of Shahid Beheshti University of
Medical Sciences, Iran (grant number 5632).
Conflict of interest
There is no conflict of interest to be declared.
Food intake and anger expression
47
Iranian J Psychiatry 11:1, Jan 2016 ijps.tums.ac.ir
Table 1: The Basic Characteristics of the Participants
Index
Mean
Standard deviation
High (m)
1.63
0.047
Weigh (kg)
58.12
7.95
Body mass index (kg/m2)
21.61
2.79
Anger state (score of 30)
12.98
3.53
Trait Anger (score of 30)
18.75
4.01
Anger expression (score of 45)
28.37
6.36
Dairy consumption (serving per day)
3.89
2.06
Intake sugar (serving per day)
7.36
6.52
Table 2: Relationship between Dairy Consumption and Simple Sugars, Age and Anthropometric Indices with Anger
Anger State
Trait anger
Anger expression
Index
B Coefficient
Beta coefficient
P-value
B Coefficient
Beta coefficient
P-value
B Coefficient
Beta coefficient
P-value
Dairy intake
0.000
0.032
0.753
-0.001
-0.23
0.015*
-0.001
-0.105
0.273
Sugar intake
-6.42
-0.043
0.651
0.000
0.062
0.5
-8.80
-0.033
0.729
Age
-0.84
-0.074
0.445
-0.271
-0.210
0.028*
0.091
0.044
0.640
Body mass index
1.636
1.292
0.472
-0.391
-0.272
0.877
-7.021
-3.075
0.083
High
42.23
0.561
0.485
-12.05
-0.141
0.858
-190.004
-1.401
0.079
Weight
-0.594
-1.333
0.481
0.176
0.348
0.851
2.521
3.140
0.094
Table 3: The Relationship between Dairy Consumption with Trait Anger after Excluding 14 Patients
P-value
Beta coefficient
B Coefficient
Index
0.027*
-0.221
-0.001
Dairy intake
Iranian J Psychiatry 11:1, Jan 2016 ijps.tums.ac.ir
47
Food intake and anger expression
Review
Kalantari, Doaei, Gordali et al
48
Iranian J Psychiatry 11:1, Jan 2016 ijps.tums.ac.ir
References:
1. Mick E, McGough J, Deutsch CK, Frazier JA,
Kennedy D, Goldberg RJ. Genome-wide
association study of proneness to anger. PloS
one 2014; 9: e87257.
2. O’Neill,H, Managing anger, New York: Wiley;
2006.
3. Taylor JL, Novaco RW. Anger treatment for
people with developmental disabilities: A
theory, evidence and manual based approach.
City: John Wiley & Sons; 2005.
4. Masoudnia E. Hostility, anger and risk of
coronary artery atherosclerosis. SSU_Journals
2011; 18: 540-551.
5. Bleil ME, McCaffery JM, Muldoon MF, Sutton-
Tyrrell K, Manuck SB. Anger-related
personality traits and carotid artery
atherosclerosis in untreated hypertensive men.
Psychosomatic medicine 2004; 66: 633-639.
6. Geyer S. Life events prior to manifestation of
breast cancer: a limited prospective study
covering eight years before diagnosis. J
Psychosom Res 1991; 35: 355-363.
7. Miotto P, Pollini, B, Restaneo A, Favaretto AA,
Preti A. Aggressiveness, anger and hostility in
eating disorders. Comprehensive psychiatry
2008; 49: 364-373.
8. Ahmadi F, GhofraniPour F, Arefi H, Abedi H,
Faghihzade S. The effect of counselling on
quality of life of coronary heart disease
patients. J Psychol 2000; 4:97-102.
9. Li R, Yan BP, Dong M, Zhang Q, Yip GW-K,
Chan C-P, et al. Quality of life after
percutaneous coronary intervention in the
elderly with acute coronary syndrome.
International journal of cardiology 2012; 155:
90-96.
10. Demark J , Gemeinhardt M. Anger and it's
management for survivors of acquired brain
injury. Brain Injury 2002; 16: 91-108.
11. Jacka FN, Pasco JA, Mykletun A, Williams LJ,
Hodge AM, O'Reilly SL, et al. Association of
Western and traditional diets with depression
and anxiety in women. American Journal of
Psychiatry 2010.
12. Liu S, Manson JE, Buring JE, Stampfer MJ,
Willett WC , Ridker PM. Relation between a
diet with a high glycemic load and plasma
concentrations of high-sensitivity C-reactive
protein in middle-aged women. The American
journal of clinical nutrition 2002; 75: 492-498.
13. Gómez-Pinilla F. Brain foods: the effects of
nutrients on brain function. Nature Reviews
Neuroscience 2008; 9: 568-578.
14. Molteni R, Barnard R, Ying Z, Roberts C ,
Gomez-Pinilla F. A high-fat, refined sugar diet
reduces hippocampal brain-derived
neurotrophic factor, neuronal plasticity, and
learning. Neuroscience 2002; 112: 803-814.
15. Tannenbaum BM, Brindley DN, Tannenbaum
GS, Dallman MF, McArthur MD, Meaney MJ.
High-fat feeding alters both basal and stress-
induced hypothalamic-pituitary-adrenal activity
in the rat. American Journal of Physiology-
Endocrinology and Metabolism 1997; 273:
E1168-E1177.
16. Engelhart MJ, Geerlings MI, Ruitenberg A, van
Swieten JC, Hofman A, Witteman JC, et al.
Dietary intake of antioxidants and risk of
Alzheimer disease. Jama 2002; 287: 3223-
3229.
17. Macht M. How emotions affect eating: a five-
way model. Appetite 2008; 50: 1-11.
18. Nishitani N, Sakakibara H , Akiyama I. Eating
behavior related to obesity and job stress in
male Japanese workers. Nutrition 2009; 25:
45-50.
19. Simon GE, Von Korff M, Saunders K,
Miglioretti DL, Crane PK, van Belle G, et al.
Association between obesity and psychiatric
disorders in the US adult population. Archives
of general psychiatry 2006; 63: 824-830.
20. Ahmadi SM, Keshavarzi S, Mostafavi S-A,
Lankarani KB. Depression and
Obesity/Overweight Association in Elderly
Women: a Community-Based Case-Control
Study. Acta Medica Iranica 2015; 53.
21. Kandiah J, Yake M, Jones J, Meyer M. Stress
influences appetite and comfort food
preferences in college women. Nutrition
Research 2006; 26: 118-123.
22. Ranjbar E, Kasaei MS, Shirazi MM,
Nasrollahzadeh J, Rashidkhani B, Shams J.
Effects of Zinc Supplementation in Patients
with Major Depression: A Randomized Clinical
Trial. Iran J Psychiatry. 2013; 8: 73–79.
23. Oliveras LM, Nieto GP, Agudo AE, Martínez
MF, López GdlSH , López MM. [Nutritional
assessment of a university population].
Nutricion hospitalaria 2005; 21: 179-183.
24. Gan R, Eintracht S, Hoffer LJ. Vitamin C
deficiency in a university teaching hospital.
Journal of the American College of Nutrition
2008; 27: 428-433.
25. Gossell-Williams M, Benjamin J. Choline: are
our university students eating enough? West
indian medical journal 2006; 55: 197-199.
26. Nakamura K, Nashimoto M, Tsuchiya Y, Obata
A, Miyanishi K , Yamamoto M. Vitamin D
insufficiency in Japanese female college
students: a preliminary report. International
journal for vitamin and nutrition research 2001;
71: 302-305.
27. Rezaeipour A, Yavari P, Mahmodi M, Fili S.
The function of female medical student in
prevention of iron deficiency anemia due to the
menarche. Hayat 2003; 8:50.
28. Amani R. Assessment of nutrition related life
style patterns of female students in Ahvaz
universities dormitories. 2004; 42: 54-61.
29. esfanjani AT, Mahdavi R, Ghaemmaghami J,
Safaeian A. Comparison between students
who resident in dormitory and who are not in
Ardabil university medical of science. Ardabil
University of Medical Science Journal 2003; 9:
44.
30. Crichton GE, Murphy KJ, Bryan J. Dairy intake
and cognitive health in middle-aged South
Australians. Asia Pacific journal of clinical
nutrition 2010; 19: 161-171.
Food intake and anger expression
49
Iranian J Psychiatry 11:1, Jan 2016 ijps.tums.ac.ir
31. Bakhtiyari M, Ehrampoush E, Enayati N,
Rastmanesh R, Delpisheh A, Zayeri F, et al.
Correlation Between Fast Food Consumption
And Levels Of Anxiety In Students Of Medical
Science Universities In Tehran. 2011.
32. Olveira C, Olveira G, Espildora F, Girón R-M,
Vendrell M, Dorado A and et al. Mediterranean
diet is associated on symptoms of depression
and anxiety in patients with bronchiectasis.
General hospital psychiatry 2014; 36: 277-283.
33. Stoll AL, Severus WE, Freeman MP, Rueter S,
Zboyan HA, Diamond E, et al. Omega 3 fatty
acids in bipolar disorder: a preliminary double-
blind, placebo-controlled trial. Archives of
general psychiatry 1999; 56: 407-412.
34. Abbasi B, Kimiagar M, Shirazi MM, Sadeghnii
kh, Rashidkhani B, Karimi N, et al. Effect of
Magnesium Supplementation on Physical
Activity of Overweight or Obese Insomniac
Elderly Subjects: A Double-Blind Randomized
Clinical Trial. Zahedan Journal of Research in
Medical Sciences 2013; 15: 14-19.
35. Appleton KM, Peters TJ, Hayward RC,
Heatherley SV, McNaughton SA, Rogers PJ,
et al. depressed mood and n-3
polyunsaturated fatty acid intake from fish:
non-linear or confounded association? Social
psychiatry and psychiatric epidemiology 2007;
42: 100-104.
36. Timonen M, Horrobin D, Jokelainen J, Laitinen
J, Herva A, Räsänen P. Fish consumption and
depression: the Northern Finland 1966 birth
cohort study. Journal of affective disorders
2004; 82: 447-452.
37. Eisenberg D, Gollust SE, Golberstein E,
Hefner JL. Prevalence and correlates of
depression, anxiety, and suicidality among
university students. American Journal of
Orthopsychiatry 2007; 77: 534-542.
38. Barabadi A, Heydarinasab L. Preliminary
validation of the questionnaire State-Trait
Anger Experssion Inventory -2 Child and
Adolescent (STAXI-2 C/A) amongst a sample
of Iranian students aged 12-17 years. Journal
of Sabzevar University of Medical Sciences
2013; 20: 281-291.
39. Spielberger CD. State-Trait Anger Expression
Inventory (S.T.A.X.I.) Professional Manual.
Psychological Assessment Resources, New
York: Wiley; 1988.
40. Redford W. Anger kills. Translated by
Kadkhodaeian M and ZarrinKalak SH. Tehran,
Firooze, 2000.
41. Mayer JD, Caruso DR, Salovey P. Emotional
intelligence meets traditional standards for an
intelligence. Intelligence 1999; 27: 267-298.
42. Brackett MA, Mayer JD, Warner RM.
Emotional intelligence and its relation to
everyday behaviour. Personality and Individual
differences 2004; 36: 1387-1402.
43. Ramezani V, Abdollahi MH. The Study of the
relationship between emotional intelligence
and anger's incidence and controlling it among
students. Journal of psychology 2006; 5: 66-
83.
44. Julkunen J, Ahlström R. Hostility, anger, and
sense of coherence as predictors of health-
related quality of life. Results of an ASCOT
substudy. Journal of Psychosomatic Research
2006; 61: 33-39.
45. Alan K. Positive psychology. Translated by
Pasha Sharifi H and NajafiZand J. Tehran:
Sokhan; 2006.
46. Dahlen E, Deffenbacher J. Anger
management: Empirically supported cognitive
therapies; Current status and future promise.
New York 2001.
47. Marshall JR. Motivation and Emotion,
Translated by Seyyed Mohammadi Y. Tehran:
Virayesh; 2006. 48-Smith BA, Kinney TA,
Donzella B. The Influences of Gender, Self-
Discrepancies and Self-Awareness on Anger
and verball Aggressivensess among US
college students. The Journal of Social
Psyhology. 2001; 141: 245-275.
48. Agneta G, Fischer. R. Gender and emotion,
social psychological perspective. London:
Cambridge University Press; 2000.
49. Friedman M, Rosenman RH. Type a behavior
and your heart. City: Knopf New York; 1974.
50. Mahan LK, Escott-Stump S. Krause's food &
nutrition therapy, Philadelphia:
Saunders/Elsevier; 2014.
51. Miyake Y, Tanaka K, Okubo H, Sasaki S ,
Arakawa M. Intake of dairy products and
calcium and prevalence of depressive
symptoms during pregnancy in Japan: a
cross‐sectional study. BJOG: An International
Journal of Obstetrics & Gynaecology 2015;
122: 336-343.
52. Crichton GE, Murphy KJ, Bryan J. Dairy intake
and cognitive health in middle-aged South
Australians. Asia Pacific journal of clinical
nutrition 2010; 19: 161.
53. Roohafza H, Sarrafzadegan N, Sadeghi M,
Rafieian-Kopaei M. The association between
stress levels and food consumption among
Iranian population. Archives of Iranian
medicine 2013; 16: 145.
54. Åsberg M, Träskman L , Thorén P. 5-HIAA in
the cerebrospinal fluid: a biochemical suicide
predictor? Archives of general psychiatry
1976; 33: 1193-1197.
55. Duke AA, Bègue L, Bell R, Eisenlohr-Moul T.
Revisiting the serotonin–aggression relation in
humans: A meta-analysis. Psychological
bulletin 2013; 139: 1148.
56. Van de Giessen E, Rosell DR, Thompson
JL, Xu X, Girgis RR, Ehrlich Y, et al. Serotonin
transporter availability in impulsive aggressive
personality disordered patients. J Psychiatry
Res 2014; 58: 147-54.
57. Rahman A, Baker PS, Allman R , Zamrini E.
Dietary factors and cognitive impairment in
community-dwelling elderly. The journal of
nutrition, health & aging 2007; 11: 49.
58. Joseph JA, Shukitt-Hale B, Denisova NA,
Bielinski D, Martin A, McEwen JJ, et al.
Reversals of age-related declines in neuronal
signal transduction, cognitive, and motor
behavioral deficits with blueberry, spinach, or
strawberry dietary supplementation. The
Journal of Neuroscience 1999; 19: 8114-8121.
Kalantari, Doaei, Gordali et al
50
Iranian J Psychiatry 11:1, Jan 2016 ijps.tums.ac.ir
59. Keith RE, O'Keeffe KA, Blessing DL, Wilson
GD. Alterations in dietary carbohydrate,
protein, and fat intake and mood state in
trained female cyclists. Medicine & Science in
Sports & Exercise 1991.
60. Arian V, Eftekhari M.H, Tabatabaei H.R, Naziri
Q. The study of the prevalence of depression
in male teachers 25-50 years old in the city of
Shiraz and it's relation with anthropometric
indicators at year 2006, comprehensive portal
of congresses. University of Medical Sciences
of Tabriz, 2006.
61. Ahmadi S.M, Eftekhari M.H, Firoozabadi A,
RajaeiFard A.R, Sawid M. The study of
severity and type of obesity in depressed fat
women (15-49) years old referring to Shahid
Motahhari clinic in Shiraz, comprehensive
portal of congresses, university of Medical
Sciences of Tabriz , 2006.
62. Roohafza H, Kelishadi R, Sadeghi M,
Hashemipour M, Pourmoghaddas A , Khani A.
Are obese adolescents more depressed?
Journal of education and health promotion
2014; 3.
63. Mikkilä V, Lahti-Koski M, Pietinen P, Virtanen
SM , Rimpelä M. Associates of obesity and
weight dissatisfaction among Finnish
adolescents. Public health nutrition 2003; 6:
49-56.
64. Wadden TA, Foster GD, Stunkard AJ, Linowitz
JR. Dissatisfaction with weight and figure in
obese girls: discontent but not depression.
International journal of obesity 1988; 13: 89-
97.
65. Raf'ati F, Pilevarzade M, Mohammadi
Soleimani M.R, Salari S, PormehrYabande A.
The association of anthropometric indicators
with depression and mental health at nursing
students in Jiroft. Journal of endocrinology and
metabolism of Iran 2012; 1: 135-141.
66. Geoffroy M-C, Li L, Power C. Depressive
symptoms and body mass index: co-morbidity
and direction of association in a British birth
cohort followed over 50 years. Psychological
medicine 2014; 44: 2641-2652.
67. Wang H, Fu J, Lu Q, Tao F, Hao J. Physical
activity, body mass index and mental health in
Chinese adolescents: a population based
study. The Journal of sports medicine and
physical fitness 2014; 54: 518-525.
68. Sörberg A, Gunnell D, Falkstedt D, Allebeck P,
Åberg M , Hemmingsson T. Body mass index
in young adulthood and suicidal behavior up to
age 59 in a cohort of Swedish men. PloS one
2014; 9: e101213.
69. Wardle J, Cooke L. The impact of obesity on
psychological well-being. Best Practice &
Research Clinical Endocrinology & Metabolism
2005; 19: 421-440.
70. Williams K, Taylor CA, Wolf KN, Lawson R ,
Crespo R. Cultural perceptions of healthy
weight in rural Appalachian youth. Rural
Remote Health 2008; 8: 932.
71. Bergstrom RL, Neighbors C, Lewis MA. Do
men find “bony” women attractive?
Consequences of misperceiving opposite sex
perceptions of attractive body image. Body
Image 2004; 1: 183-191.
72. Wardle J, Cooke L. The impact of obesity on
psychological well-being. Best Practice &
Research Clinical Endocrinology & Metabolism
2005; 19: 421-440.