Volume 16, Issue 2 (7-2017)                   TB 2017, 16(2): 110-122 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Fallahzadeh H, mazloomy mahmoodaabad S, Pahlevani V, Mohammadzadeh M, TaheriSodjani M. Application of Bayesian Method in Validation of TTM Decisional Balance and Self-Efficacy Constructs to Improve Nutritional Behavior in Yazdian Prediabetes. TB 2017; 16 (2) :110-122
URL: http://tbj.ssu.ac.ir/article-1-1937-en.html
Shahid sadoughi univesity , morteza0763@yahoo.com
Abstract:   (3804 Views)

Introduction: To introduce Bayesian method in validation of transtheoretical model’s Self-Efficacy and Decisional Balance for nutritional behavior improvement among Prediabetes with ordinal data.

Methods: This is an Experimental trial with parallel design and sample was included 220 Prediabetes who Participated in screening program and had over 30 years old, fasting blood glucose ranged 100-125 and at least elementary Education. We used OpenBugs 3.2.3 to fit Bayesian ordinal factor analysis to achieve validation of TTM’s decisional balance and self-efficacy.

Results: All of the factor loadings corresponded to mentioned constructs was significant at α= 0.05%. That support validation of the Constructs. Correlation between Pros and Cons was not significant(-0.076, 0.007).Furthermore a specific statistical model for ordinal data created that can estimate odds ratios and marginal Probabilities for each choice of any item in questionnaire.

Conclusion: Thanks to benefits of Bayesian method in use of prior information such as Meta-analysis and other resources, In comparison to similar studies that used standard or other factor analysis for ordinal data, our results had good accuracy(with aspect to standard deviation) even with lower sample size.so the results can be used  in future clinical researches.

Full-Text [PDF 488 kb]   (1641 Downloads)    
Type of Study: Applicable | Subject: Special
Received: 2016/02/9 | Accepted: 2016/03/5 | Published: 2017/07/17

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Tolooebehdasht

Designed & Developed by : Yektaweb