Determining intention, fast food consumption and their related factors among university students by using a behavior change theory

Today, with the advancement of science, technology and industry, people's lifestyles such as the pattern of people's food, have changed from traditional foods to fast foods. The aim of this survey was to examine and identify factors influencing intent to use fast foods and behavior of fast...

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Bibliographic Details
Published in:BMC public health 2022-02, Vol.22 (1), p.314-314, Article 314
Main Authors: Didarloo, Alireza, Khalili, Surur, Aghapour, Ahmad Ali, Moghaddam-Tabrizi, Fatemeh, Mousavi, Seyed Mortaza
Format: Article
Language:English
Subjects:
Attitudes
Bilingualism
Chi-square test
College students
Colleges & universities
Convenience foods
Correlation coefficient
Correlation coefficients
Cross-Sectional Studies
Developing countries
Education
Fast food
Fast Foods
Food and nutrition
Food consumption
Food habits
Food intake
Health aspects
Humans
Intention
Iran
LDCs
Likert scale
Norms
Nutrition research
Nutritional status
Predictor
Psychological Theory
Questionnaires
Random sampling
Regression analysis
Sampling methods
Statistical analysis
Statistical sampling
Statistical tests
Statistics
Student
Students
Surveys
Surveys and Questionnaires
Teenagers
Theory of planned behavior
Traditional foods
Universities
University students
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Summary:Today, with the advancement of science, technology and industry, people's lifestyles such as the pattern of people's food, have changed from traditional foods to fast foods. The aim of this survey was to examine and identify factors influencing intent to use fast foods and behavior of fast food intake among students based on the theory of planned behavior (TPB). A cross-sectional study was conducted among 229 university students. The study sample was selected and entered to the study using stratified random sampling method. Data were collected using a four-part questionnaire including Participants' characteristics, knowledge, the TPB variables, and fast food consumption behavior. The study data were analyzed in SPSS software (version 16.0) using descriptive statistics (frequencies, Means, and Standard Deviation) and inferential statistics (t-test, Chi-square, correlation coefficient and multiple regressions). The monthly frequency of fast food consumption among students was reported 2.7 times. The TPB explained 35, 23% variance of intent to use fast food and behavior of fast food intake, respectively. Among the TPB variables, knowledge (r = .340, p 
ISSN:1471-2458
1471-2458
DOI:10.1186/s12889-022-12696-x