Predicting effective factors on eating behaviors in the prevention of cardiovascular disease based on the PRECEDE model

Background and aim: Changes in eating behavior can reduce the risk of developing cardiovascular disease. The aim of this study was to predict the effective factors of eating behaviors in the prevention of cardiovascular disease using the PRECEDE model. Methods: This cross-sectional study was perf...

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Main Authors: Samera Radmerikhi, Seyed Vahid Ahmady Tabatabaei, Yunes Jahani, Mohabbat Mohseni
Format: Article
Language:English
Published: Electronic Physician 2017-12-01
Series:Electronic Physician
Subjects:
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5843413/
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spelling doaj-5dbf244179a4438f9a526bd7e42eecfc2020-11-24T23:49:17ZengElectronic PhysicianElectronic Physician2008-58422008-58422017-12-019125894590110.19082/5894Predicting effective factors on eating behaviors in the prevention of cardiovascular disease based on the PRECEDE modelSamera RadmerikhiSeyed Vahid Ahmady TabatabaeiYunes JahaniMohabbat MohseniBackground and aim: Changes in eating behavior can reduce the risk of developing cardiovascular disease. The aim of this study was to predict the effective factors of eating behaviors in the prevention of cardiovascular disease using the PRECEDE model. Methods: This cross-sectional study was performed on 400 subjects aged from 20 to 60 years old in Kerman, Iran in 2016. The participants were selected using a multistage random sampling method. A self-administered questionnaire including questions regarding demographic characteristics, eating behavior, and PRECEDE model constructs were completed by the participants. Data were analyzed using SPSS 22 and STATA 12. For data analysis, Spearman correlation coefficient, univariate and multiple median regression were applied. The predictive power of the model constructs was determined by analysis of artificial neural networks. Results: Among participants, the score of knowledge was high (84.15±10.7), and the scores of perceived self- efficacy (59.1±16.57), reinforcing factors (60.66±14.01), enabling factors (56.5±12.91), and eating behavior (62.1±14.7) were intermediate, and the score of attitude was low (47.84±7.67). Attitude, self-perceived efficacy, enabling factors, and knowledge predicted 32%, 30%, 26%, and 0.93% of participants' eating behavior respectively. The relationship between all variables and eating behavior was positive and significant (p<0.0001). Perceived self-efficacy had the most, and reinforcing factors the least correlation with eating behavior. Conclusion: According to the results of this study, self-efficacy, attitude, and enabling factors were the main predicting factors for eating behaviors; therefore, to prevent cardiovascular disease and enhance healthy eating behavior, it is recommended to change attitude, and enhance self-efficacy and enabling factors in the community.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5843413/Eating behaviorsCardiovascular diseasePredisposing factorsReinforcing factors
collection DOAJ
language English
format Article
sources DOAJ
author Samera Radmerikhi
Seyed Vahid Ahmady Tabatabaei
Yunes Jahani
Mohabbat Mohseni
spellingShingle Samera Radmerikhi
Seyed Vahid Ahmady Tabatabaei
Yunes Jahani
Mohabbat Mohseni
Predicting effective factors on eating behaviors in the prevention of cardiovascular disease based on the PRECEDE model
Electronic Physician
Eating behaviors
Cardiovascular disease
Predisposing factors
Reinforcing factors
author_facet Samera Radmerikhi
Seyed Vahid Ahmady Tabatabaei
Yunes Jahani
Mohabbat Mohseni
author_sort Samera Radmerikhi
title Predicting effective factors on eating behaviors in the prevention of cardiovascular disease based on the PRECEDE model
title_short Predicting effective factors on eating behaviors in the prevention of cardiovascular disease based on the PRECEDE model
title_full Predicting effective factors on eating behaviors in the prevention of cardiovascular disease based on the PRECEDE model
title_fullStr Predicting effective factors on eating behaviors in the prevention of cardiovascular disease based on the PRECEDE model
title_full_unstemmed Predicting effective factors on eating behaviors in the prevention of cardiovascular disease based on the PRECEDE model
title_sort predicting effective factors on eating behaviors in the prevention of cardiovascular disease based on the precede model
publisher Electronic Physician
series Electronic Physician
issn 2008-5842
2008-5842
publishDate 2017-12-01
description Background and aim: Changes in eating behavior can reduce the risk of developing cardiovascular disease. The aim of this study was to predict the effective factors of eating behaviors in the prevention of cardiovascular disease using the PRECEDE model. Methods: This cross-sectional study was performed on 400 subjects aged from 20 to 60 years old in Kerman, Iran in 2016. The participants were selected using a multistage random sampling method. A self-administered questionnaire including questions regarding demographic characteristics, eating behavior, and PRECEDE model constructs were completed by the participants. Data were analyzed using SPSS 22 and STATA 12. For data analysis, Spearman correlation coefficient, univariate and multiple median regression were applied. The predictive power of the model constructs was determined by analysis of artificial neural networks. Results: Among participants, the score of knowledge was high (84.15±10.7), and the scores of perceived self- efficacy (59.1±16.57), reinforcing factors (60.66±14.01), enabling factors (56.5±12.91), and eating behavior (62.1±14.7) were intermediate, and the score of attitude was low (47.84±7.67). Attitude, self-perceived efficacy, enabling factors, and knowledge predicted 32%, 30%, 26%, and 0.93% of participants' eating behavior respectively. The relationship between all variables and eating behavior was positive and significant (p<0.0001). Perceived self-efficacy had the most, and reinforcing factors the least correlation with eating behavior. Conclusion: According to the results of this study, self-efficacy, attitude, and enabling factors were the main predicting factors for eating behaviors; therefore, to prevent cardiovascular disease and enhance healthy eating behavior, it is recommended to change attitude, and enhance self-efficacy and enabling factors in the community.
topic Eating behaviors
Cardiovascular disease
Predisposing factors
Reinforcing factors
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5843413/
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