Document Type : Original Article
Authors
- . Sayed Hossein Davoodi
- . Banafsheh Agah 1
- . Teamur Aghamolaei 2
- . Amin Ghanbarnejad 2
- . Sakineh Dadipoor 3
- . Ali Safari Moradabadi 4
1 Department of Health Education, Health School, Hormozgan University of Medical Sciences
2 Social Determinants on Health Promotion Research Center, Hormozgan University of Medical Sciences
3 Fertility and Infertility Research Centre, Hormozgan University of Medical Sciences, Bandar Abbas
4 Student Research Committee, School of Public Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran
Abstract
BACKGROUND: Consuming fish plays a key role in human health and prevention of diseases. The
aim of this study was using transtheoretical model to analyze the trend of fish consumption among
women.
MATERIALS AND METHODS: In this descriptive‑analytic research, 383 housewives who referred
to health centers in Bandar Abbas were selected through a stratified sampling method. Data were
collected by a questionnaire to determine fish consumption based on transtheoretical model and
analyzed by using SPSS software version 19.0. with the significance level of P < 0.05.
RESULTS: Nearly 11.7% of the patients were found to be at the precontemplation stage; 3.9% were
at the contemplation stage; 13.6% were at the preparation stage; 7.3% showed to be at the action
stage, and 63.4% were at the maintenance stage. The results showed a significant relation of the
constructs of the model with the stages of change of consuming one or two meals of fish a week.
Moving through the stages of change from the precontemplation stage to maintenance stage was
accompanied by an increase in decisional balance, self‑efficacy, and processes of change (P < 0.05).
CONCLUSION: It is suggested that in designing educational interventions in the light of this model,
more emphasis is placed on perceived benefits and self‑efficacy. The processes of change are
advised to be used more often, and perceived barriers to fish consumption need to be reduced as
far as possible.
Keywords
Factors affecting fish consumption based on structures of health
education. J Health Syst Res 2012;8:523‑36.
2. Grieger JA, Miller M, Cobiac L. Knowledge and barriers relating
to fish consumption in older Australians. Appetite 2012;59:456‑63.
3. Verbeke W, Vackier I. Individual determinants of fish
consumption: Application of the theory of planned behaviour.
Appetite 2005;44:67‑82.
4. He K, Song Y, Daviglus ML, Liu K, Van Horn L, Dyer AR, et al.
Accumulated evidence on fish consumption and coronary heart
disease mortality: A meta‑analysis of cohort studies. Circulation
2004;109:2705‑11.
5. Burger J, Gochfeld M, Batang Z, Alikunhi N, Al‑Jahdali R,
Al‑Jebreen D, et al. Fish consumption behavior and rates in
native and non‑native people in Saudi Arabia. Environ Res
2014;133:141‑8.
6. Morris MC, Evans DA, Bienias JL, Tangney CC, Bennett DA,
Wilson RS, et al. Consumption of fish and n‑3 fatty acids and risk
of incident Alzheimer disease. Arch Neurol 2003;60:940‑6.
7. Fernandes AC, Medeiros CO, Bernardo GL, Ebone MV,
Di Pietro PF, Assis MA, et al. Benefits and risks of fish consumption
for the human health. Rev Nutrição 2012;25:283‑95.
8. Connelly NA, Lauber TB, Niederdeppe J, Knuth BA. How can
more women of childbearing age be encouraged to follow fish
consumption recommendations? Environ Res 2014;135:88‑94.
9. Baghyani MM, Eivazi S. Investigation of Factors Related to Lack
of Using Fish at the Recommended Amount by WHO in Families
of Javanrood (Western Iran) According to Model Goal‑Directed
Behavior (MGB) in 2006; 2011.
10. Kohansal MR, Firoozzare A. Applying multinomial logit model
for determining socio‑economic factors affecting major choice of
consumers in food purchasing: The case of Mashhad. J Agric Sci
Technol 2013;15:1307‑17.
11. Tehrani H, Majlessi F, Shojaeizadeh D, Sadeghi R,
Hasani Kabootarkhani M. Applying socioecological model to
improve women’s physical activity: A Randomized control trial.
Iran Red Crescent Med J 2016;18:e21072.
12. Prochaska JO, Velicer WF. The transtheoretical model of health
behavior change. Am J Health Promot 1997;12:38‑48.
13. Charkazi A, Fazli L, Alizadeh F, Fazelnia A, Bakhsha F. Regular
physical activity based on transtheoretical model among health
and paramedic schools of Golestan University of medical sciences.
Iran J Health Educ Health Promot 2014;1:57‑68.
14. Velicer W, Prochaska J, Fava J, Norman G, Redding C. Detailed
Overview of the Transtheorectical Model. Hentet fra; 1998.
15. Glanz K, Rimer BK, Viswanath K. Health Behavior and Health
Education: Theory, Research, and Practice. San Francisco United
States: John Wiley & Sons; 2008.
16. Henry H, Reimer K, Smith C, Reicks M. Associations of
decisional balance, processes of change, and self‑efficacy with
stages of change for increased fruit and vegetable intake among
low‑income, African‑American mothers. J Am Diet Assoc
2006;106:841‑9.
17. De Vet E, de Nooijer J, de Vries NK, Brug J. The transtheoretical
model for fruit, vegetable and fish consumption: Associations
between intakes, stages of change and stage transition
determinants. Int J Behav Nutr Phys Act 2006;3:13.
18. Pirasteh A, Davati A, Jouhari Z, Mohamadi L. Predicting physical
activity behavior among Iranian medical college students
using the transtheoretical model. Daneshvar Medicine journal
2012;19:1-11.
19. Di Noia J, Schinke SP, Prochaska JO, Contento IR. Application
of the transtheoretical model to fruit and vegetable consumption
among economically disadvantaged African‑American
adolescents: Preliminary findings. Am J Health Promot
2006;20:342‑8.
20. Abdi J, Eftekhar H, Mahmoodi M, Shojaeizade D, Sadeghi R.
Lifestyle of the employees working in hamadan public sectors:
Application of the trans‑theoretical model. Iran Red Crescent Med
J 2015;17:e25269.
21. Rossi SR, Greene GW, Rossi JS, Plummer BA, Benisovich SV,
Keller S, et al. Validation of decisional balance and situational
temptations measures for dietary fat reduction in a large
school‑based population of adolescents. Eat Behav 2001;2:1‑8.
22. Saffari M, Shojaeizadeh D, Ghofranipour F, Heydarnia A,
Pakpour A. Health Education & Promotion‑Theories, Models &
Methods. Tehran: Sobhan Publication; 2009. p. 1-234.
23. Bandura A. Self‑efficacy: Toward a unifying theory of behavioral
change. Psychol Rev 1977;84:191‑215.
24. Tassell N, Flett R. Stages of change for fruit and vegetable intake
and dietary fat modification in Maori women: Some relationships
with body attitudes and eating behaviours. New Zealand Journal
of Psychology 2005;34:28-34.
25. Strecher VJ, DeVellis BM, Becker MH, Rosenstock IM. The role of
self‑efficacy in achieving health behavior change. Health Educ Q
1986;13:73‑92.
26. Tehrani H, Taghdisi MH. Community action: A strategy for health
promotion. Iran J Health Educ Health Promot 2015;2:255‑9.
27. Hildebrand DA, Betts NM. Assessment of stage of change,
decisional balance, self‑efficacy, and use of processes of changeof low‑income parents for increasing servings of fruits and
vegetables to preschool‑aged children. J Nutr Educ Behav
2009;41:110‑9.
28. Van Duyn MA, Kristal AR, Dodd K, Campbell MK, Subar AF,
Stables G, et al. Association of awareness, intrapersonal and
interpersonal factors, and stage of dietary change with fruit and
vegetable consumption: A national survey. Am J Health Promot
2001;16:69‑78.
29. Aghamolaei T, Sadat Tavafian S, Madani A. Fish consumption
in a sample of people in bandar abbas, Iran: Application of the
theory of planned behavior. Arch Iran Med 2012;15:545‑8.
30. Greene GW, Fey‑Yensan N, Padula C, Rossi S, Rossi JS, Clark PG,
et al. Differences in psychosocial variables by stage of change
for fruits and vegetables in older adults. J Am Diet Assoc
2004;104:1236‑43.
31. Cook AS, O’leary F, Allman-Farinelli M. Behavioural and
cognitive processes adults use to change their fruit and vegetable
consumption. Nutr Diet 2015;72:327‑32.
32. Oliveira Mdo C, Anderson J, Auld G, Kendall P. Validation of
a tool to measure processes of change for fruit and vegetable
consumption among male college students. J Nutr Educ Behav
2005;37:2‑11.
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