Volume 4, Issue 1 (Spring 2017)                   JECH 2017, 4(1): 35-42 | Back to browse issues page


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Panahi R, Ramezankhani A, Tavousi M, Osmani F, Niknami S. Predictors of Adoption of Smoking Preventive Behaviors among University Students: Application of Health Belief Model. JECH. 2017; 4 (1) :35-42
URL: http://jech.umsha.ac.ir/article-1-261-en.html
1- MSc, Department of Health Education, School of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
2- Professor, Department of Public Health, School of Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
3- Associate Professor, Department of Health Education and Promotion, Health Metrics Research Center, Iranian Institute for Health Sciences Research, ACECR, Tehran, Iran.
4- MSc, Department of of Biostatistic, School of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
5- Associate Professor, Department of Health Education, School of Medical Sciences, Tarbiat Modares University, Tehran, Iran. , niknamis@modares.ac.ir
Abstract:   (2122 Views)
Background and Objectives: Smoking is one of the main causes of various diseases. Due to an increasing trend of smoking among university students, we sought to determine the predictors of adoption of smoking preventive behaviors in university students using the Health Belief Model (HBM).
Materials and Methods: This descriptive and analytical study was conducted on 340 students residing in dormitories of Shahid Beheshti University of Medical Sciences, Tehran, Iran. The participants were selected using single-stage cluster sampling method. We utilized a researcher-made questionnaire based on HBM for data collection. To analyze the data, descriptive statistics, Pearson correlation coefficient, and multiple regression analysis were used in SPSS, version 16.
Results: The participants obtained 45.91% of the score for the adoption of smoking preventive behaviors. From among the independent variables, perceived susceptibility and perceived barriers constructs received the lowest scores, while perceived benefits and self-efficacy obtained the highest scores. Multiple regression analysis reflected that perceived susceptibility and self-efficacy were predictors of adoption of smoking preventive behaviors.  Overall, these variables could predict 24.6% of behavioral changes.
Conclusion: In designing educational interventions, special emphasis should be placed on the variables susceptibility and self-efficacy constructs as the most important predictors of adopting smoking preventive behaviors among university students.
Full-Text [PDF 712 kb]   (434 Downloads)    
Type of Study: Research Article | Subject: Special
Received: 2017/04/20 | Accepted: 2017/06/21

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