Document Type : Original Article


1 Social Determinant of Health Research Center, Faculty of Nursing and Midwifery, Ardabil University of Medical Sciences, Ardabil, Iran

2 Students Research Committee, School of Meshkin Nursing, Ardabil University of Medical Sciences, Ardabil, Iran


BACKGROUND: Motivation and desire are the main psychological factors associated with regular
breakfast consumption among elementary students. The purpose of this study was to assess the
readiness of students to regular breakfast consumption.
MATERIALS AND METHODS: This research was cross‑sectional study; 300 students participated
who were selected based on cluster sampling from elementary schools in different parts of Ardabil
and were interviewed using a motivational questionnaire according to SOC model. The acquired
data was then analyzed by ANOVA and linear regression.
RESULTS: Cognitive processes of change such as social liberation (β = 0.31, α = 0.001) and
self‑reevaluation (β = 0.13, α = 0.04) and self‑efficacy (β = 0.44, α = 0.001) played a significant role
in motivating students to move from the inactive stage to preparation stage.
CONCLUSION: By understanding the motivational factors of regular breakfast consumption, a regular
program can be implemented to increase breakfast consumption and ensure the health of students
and help them to grow in learning ability and abstract thinking.


1. Das N, Choudhuri D, Ghosh A. Intelligence quotient development
in relation to physical growth, development and nutritional state
in early childhood: A systematic review. World J Pharm Med Res
2. Gray C, Wilcox G, Nordstokke D. Teacher mental health, school
climate, inclusive education and student learning: A review. Can
Psychol Psychol Can 2017;58:203.
3. Johnson AD, Phillips DA, Partika A, Study Team TT, Castle S.
Everyday heroes: The personal and economic stressors of early
care and education teachers serving low‑income children. Early
Educ Dev 2020;31:973‑93.
4. Padmanabha C. Critical thinking: Conceptual framework. J Educ
Psychol 2018;11:45‑53.
5. Muhasidah M, Nasrullah Nasrullah MY, Jaya N, Laubo N,
Angriani S, Hasriany H, et al. Healthy food with children learning
achievements at Makassar city elementary school. Int J Sci Technol
Res 2019;8:1875‑1883.
6. Pourghasemi HR, Pouyan S, Heidari B, Farajzadeh Z,Fallah Shamsi SR, Babaei S, et al. Spatial modeling, risk
mapping, change detection, and outbreak trend analysis of
coronavirus (COVID‑19) in Iran (days between February 19 and
June 14, 2020). Int J Infect Dis 2020;98:90‑108.
7. Jacob C, Baird J, Barker M, Cooper C, Hanson M. The Importance
of a Life Course Approach to Health: Chronic Disease Risk from
Preconception through Adolescence and Adulthood. Geneva:
WHO; 2017.
8. Asakura K, Todoriki H, Sasaki S. Relationship between nutrition
knowledge and dietary intake among primary school children
in Japan: Combined effect of children’s and their guardians’
knowledge. J Epidemiol 2017;27:483‑91.
9. Tee ES, Nurliyana AR, Norimah AK, Mohamed HJ, Tan SY,
Appukutty M, et al. Breakfast consumption among Malaysian
primary and secondary school children and relationship with
body weight status – Findings from the MyBreakfast Study. Asia
Pac J Clin Nutr 2018;27:421‑32.
10. Jeans MR, Asigbee FM, Landry MJ, Vandyousefi S, Ghaddar R,
Leidy HJ, et al. Breakfast consumption in low‑income
hispanic elementary school‑aged children: Associations with
anthropometric, metabolic, and dietary parameters. Nutrients
11. Mirkarimi K, Mansourian M, Kabir MJ, Ozouni‑Davaji RB, Eri M,
Hosseini SG, et al. Fast food consumption behaviors in high‑school
students based on the Theory of Planned Behavior (TPB). Int J
Pediatr 2016;4:2131‑42.
12. Bondoc AF, Florendo HF, Taguiwalo EJ, Eustaquio J. Life in
the fast food lane: Understanding the factors affecting fast food
consumption among students in the Philippines. The Philippine
Statistician 2019:68:75‑101.
13. Kitunen A, Carins J, Rundle‑Thiele S. Motivating military trainee
healthy eating: Insight from two sites. Foods 2020;9:1053.
14. Papies EK, Best M, Gelibter E, Barsalou LW. The role of
simulations in consumer experiences and behavior: Insights from
the grounded cognition theory of desire. J Assoc Consum Res
15. Glanz K, Rimer BK, Viswanath K. Health Behavior and Health
Education: Theory, Research, and Practice. 97‑117: John Wiley &
Sons; 2008.
16. Narimani S, Farmanbar R, Kazemnejad Leyli E. Predictors of
intention to quit smoking among hospital male personnel. J Res
Health 2019;9:140‑6.
17. KhezeliM, NarimaniS, AbbasgholizadehN, DarvishiH. Mediating
effects of self‑efficacy on fruit and vegetable consumption
among nursing and midwifery staff in ardabil‑application of
transtheoretical model. J Evol Med Dent Sci 2018;7:2125‑8.
18. Shahbazzade F, Narimani S, Anvari Z, Ahmadi SH. Factors
affecting the use of helmets among motorcyclists in Ardabil city
2019. J Safe Promot Injury Prev 2020;7:131‑7.
19. Fisberg M, Kovalskys I, Previdelli AN, Pereira JL, Zimberg IZ,
Fisberg R, et al. Breakfast consumption habit and its nutritional
contribution in Latin America: Results from the ELANS study.
Nutrients 2020;12:2397‑2413.
20. Bellisle F, Hébel P, Salmon‑Legagneur A, Vieux F. Breakfast
consumption in French children, adolescents, and adults:
A nationally representative cross‑sectional survey examined
in the context of the international breakfast research initiative.
Nutrients 2018;10:1056‑1080.
21. Bakhtiyari J, Shadnoush M, Dadgar H, Salmani M, Argha F,
Khani M, et al. Effect of breakfast consumption on verbal fluency
and verbal working memory performance in seven‑year‑old
children. Middle East J Rehabil Health Stud 2020;7(1):e99382.
22. Horiuchi S, Tsuda A, Kobayashi H, Redding CA, Prochaska JO.
Sustainable transportation pros, cons, and self‑efficacy as
predictors of 6‑month stage transitions in a Chinese sample.
J Transp Health 2017;6:481‑9.
23. Vakili V, Khadem‑Rezaiyan M. Predictors of stages of change in
fruit/vegetable consumption based on trans‑theoretical model:
A population‑based study. Nutr Food Sci Res 2016;3:13‑21.
24. Kang S, Kim Y. Application of the transtheoretical model to
identify predictors of physical activity transition in university
students. Rev Psicol Deporte 2017;26:6‑11.
25. Carbajosa P, Catalá‑Miñana A, Lila M, Gracia E, Boira S.
Responsive versus treatment‑resistant perpetrators in batterer
intervention programs: Personal characteristics and stages of
change. Psychiatr Psychol Law 2017;24:936‑50.
26. GharlipourZ, GhaffariM, HoseiniZ, HeidarabadiAB, Tavassoli E,
Hozuri M, et al. Investigation of educational intervention based
on Theory of Planned Behavior on breakfast consumption among
middle school students of Qom City in 2012. J Educ Health Promot
27. Salahshoori A, Sharifirad G, Hassanzadeh A, Mostafavi F.
An assessment of the role of perceived benefits, barriers and
self‑efficacy in predicting dietary behavior in male and female
high school students in the city of Izeh, Iran. J Educ Health Promot
28. Khalid A, Rathore K. Mediating effect of work‑life balance on
work motivation of post‑graduate trainee doctors in public
sector hospitals: Evidence from Pakistan. Pak Econ Soc Rev
29. Sardi L, Idri A, Carrillo de Gea JM, Toval Á, Fernández‑Alemán JL.
Applying trans‑theoretical model for blood donation among
Spanish adults: A cross‑sectional study. BMC Public Health