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Using the theory of planned behavior to predict factors influencing fast-food consumption among college students

PURPOSE: The purpose of this research is to examine the behavioral factors that impact fast food consumption (FFC) among college students in Pakistan by applying the theory of planned behavior (TPB). METHODS: Cross-sectional survey was distributed to college students in Pakistan. The questionnaire e...

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Autores principales: Sajjad, Maryam, Bhatti, Afifa, Hill, Barry, Al-Omari, Basem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10224588/
https://www.ncbi.nlm.nih.gov/pubmed/37237304
http://dx.doi.org/10.1186/s12889-023-15923-1
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author Sajjad, Maryam
Bhatti, Afifa
Hill, Barry
Al-Omari, Basem
author_facet Sajjad, Maryam
Bhatti, Afifa
Hill, Barry
Al-Omari, Basem
author_sort Sajjad, Maryam
collection PubMed
description PURPOSE: The purpose of this research is to examine the behavioral factors that impact fast food consumption (FFC) among college students in Pakistan by applying the theory of planned behavior (TPB). METHODS: Cross-sectional survey was distributed to college students in Pakistan. The questionnaire examines the factors associated with six categories: demographics, FFC pattern, intention for FFC, attitudes toward FFC, Subjective Norms (SN), and Perceived Behavioral Control (PBC). Data analysis was conducted using SPSS and SPSS AMOS software using descriptive statistics, inferential statistics (chi-square, t-test, Pearson correlation, and multiple regression analysis), and structural equation modeling (SEM) Analysis. RESULTS: A total of 220 questionnaires were completed (97 males and 123 females). There were significant differences in FFC association with gender. Among the constructs of TPB, behavioral intention (BI) and SN are the strongest predictors of the FFC (p < .05). TPB has significantly predicted FFC behavior with a variance of R(2) 0.603. The SEM analysis shows that the data collected were incompatible with the theoretical TPB model, making it unfeasible to test our five hypotheses or interpret the results due to the poor fit of the model with the data. CONCLUSIONS: To ensure a good fit of the data with the specified TPB model in SEM analysis, the number of indicators should be limited (≤ 30), or the sample size should be greater (N ≥ 500). Pakistani college students' FFC is mainly influenced by friends and the increased popularity of fast food, despite their knowledge of its negative health effects. Educational programs should target specific harmful effects of fast food, and SN and BI are the strongest predictors of FFC among TPB constructs. These findings can be useful for developing targeted interventional health strategies and future research. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-15923-1.
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spelling pubmed-102245882023-05-28 Using the theory of planned behavior to predict factors influencing fast-food consumption among college students Sajjad, Maryam Bhatti, Afifa Hill, Barry Al-Omari, Basem BMC Public Health Research PURPOSE: The purpose of this research is to examine the behavioral factors that impact fast food consumption (FFC) among college students in Pakistan by applying the theory of planned behavior (TPB). METHODS: Cross-sectional survey was distributed to college students in Pakistan. The questionnaire examines the factors associated with six categories: demographics, FFC pattern, intention for FFC, attitudes toward FFC, Subjective Norms (SN), and Perceived Behavioral Control (PBC). Data analysis was conducted using SPSS and SPSS AMOS software using descriptive statistics, inferential statistics (chi-square, t-test, Pearson correlation, and multiple regression analysis), and structural equation modeling (SEM) Analysis. RESULTS: A total of 220 questionnaires were completed (97 males and 123 females). There were significant differences in FFC association with gender. Among the constructs of TPB, behavioral intention (BI) and SN are the strongest predictors of the FFC (p < .05). TPB has significantly predicted FFC behavior with a variance of R(2) 0.603. The SEM analysis shows that the data collected were incompatible with the theoretical TPB model, making it unfeasible to test our five hypotheses or interpret the results due to the poor fit of the model with the data. CONCLUSIONS: To ensure a good fit of the data with the specified TPB model in SEM analysis, the number of indicators should be limited (≤ 30), or the sample size should be greater (N ≥ 500). Pakistani college students' FFC is mainly influenced by friends and the increased popularity of fast food, despite their knowledge of its negative health effects. Educational programs should target specific harmful effects of fast food, and SN and BI are the strongest predictors of FFC among TPB constructs. These findings can be useful for developing targeted interventional health strategies and future research. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-15923-1. BioMed Central 2023-05-27 /pmc/articles/PMC10224588/ /pubmed/37237304 http://dx.doi.org/10.1186/s12889-023-15923-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Sajjad, Maryam
Bhatti, Afifa
Hill, Barry
Al-Omari, Basem
Using the theory of planned behavior to predict factors influencing fast-food consumption among college students
title Using the theory of planned behavior to predict factors influencing fast-food consumption among college students
title_full Using the theory of planned behavior to predict factors influencing fast-food consumption among college students
title_fullStr Using the theory of planned behavior to predict factors influencing fast-food consumption among college students
title_full_unstemmed Using the theory of planned behavior to predict factors influencing fast-food consumption among college students
title_short Using the theory of planned behavior to predict factors influencing fast-food consumption among college students
title_sort using the theory of planned behavior to predict factors influencing fast-food consumption among college students
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10224588/
https://www.ncbi.nlm.nih.gov/pubmed/37237304
http://dx.doi.org/10.1186/s12889-023-15923-1
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