Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2015 Mar 20;17(3):e18879.
doi: 10.5812/ircmj.18879. eCollection 2015 Mar.

Factors predicting nutrition and physical activity behaviors due to cardiovascular disease in tehran university students: application of health belief model

Affiliations

Factors predicting nutrition and physical activity behaviors due to cardiovascular disease in tehran university students: application of health belief model

Fatemeh Rahmati-Najarkolaei et al. Iran Red Crescent Med J. .

Abstract

Background: Disease preventing methods focus mostly on lifestyle factors such as physical activity, healthy diet and not smoking. Previous studies verified using theory and models to change unhealthy behaviors, so that health belief model (HBM) is a useful framework for describing the healthy nutrition behavior.

Objectives: This study aimed to predict factors related to unhealthy nutrition and inactive life in students of Tehran University, Tehran, Iran based on the Health Belief Model (HBM).

Patients and methods: In this cross sectional study, proportional quota sampling from three different educational levels was conducted from October to December 2012. A self-administered validated instrument based on the Health Belief Model (HBM) with 69 items and four sections was used to collect data. In this study through using linear and logistic regression, the effect of body mass index, age, gender, marriage, self-efficacy, cues to action, knowledge, perceived severity, susceptibility, benefits and barriers on nutrition and physical activity behavior were assessed. SPSS version 18 was used to analyze data.

Results: Totally, 368 students including 318 female students (86.4%) and 50 male students (13.6%) with a mean age of 24.9 years (SD = 4.55) took part in the study. Among all independent variables, gender (P < 0.001), knowledge (P = 0.023) and perceived barriers (P = 0.004) predicted nutrition behavior. In case of physical activity, knowledge (P = 0.011), perceived severity (P = 0.009), perceived barriers (P = 0.019) and self-efficacy (P = 0.033) had significance association with physical activity behavior.

Conclusions: This study indicated that health belief model contrasts could predict the risky behavior of university students due to heart disease. However, more researches are needed to verify the predictors of high risky behaviors in students.

Keywords: Behavior; Health Belief Model; Heart Disease; Physical Activity.

PubMed Disclaimer

References

    1. Chang HS, Kim HJ, Nam CM, Lim SJ, Jang YH, Kim S, et al. The socioeconomic burden of coronary heart disease in Korea. J Prev Med Public Health. 2012;45(5):291–300. doi: 10.3961/jpmph.2012.45.5.291. - DOI - PMC - PubMed
    1. Abbasi S, De Leon AP, Kassaian S, Karimi A, Sundin O, Soares J, et al. Gender differences in the risk of coronary artery disease in iran. Iran J Public Health. 2012;41(3):36–47. - PMC - PubMed
    1. Tofighi S, Ahmad Kiadaliri A, Sadeghifar J, Raadabadi M, Mamikhani J. Health-Related Quality of Life among Patients with Coronary Artery Disease: A Post-Treatment Follow-Up Study in Iran. Cardiol Res Pract. 2012;2012:973974. doi: 10.1155/2012/973974. - DOI - PMC - PubMed
    1. Azizi F, Salehi P, Etemadi A, Zahedi-Asl S. Prevalence of metabolic syndrome in an urban population: Tehran Lipid and Glucose Study. Diabetes Res Clin Pract. 2003;61(1):29–37. - PubMed
    1. Kavousi M, Elias-Smale S, Rutten JH, Leening MJ, Vliegenthart R, Verwoert GC, et al. Evaluation of newer risk markers for coronary heart disease risk classification: a cohort study. Ann Intern Med. 2012;156(6):438–44. doi: 10.7326/0003-4819-156-6-201203200-00006. - DOI - PubMed

LinkOut - more resources