Volume 10, Issue 2 (Occupational Medicine Quarterly Journal 2018)                   tkj 2018, 10(2): 22-31 | Back to browse issues page

XML Persian Abstract Print


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

Askarishahi M, shayegh M, Mostaghasi M, Zare Sakhvidi M. Interval censoring Analysis of Factors affecting the time of development of pulmonary restrictive disorder in yazd tile workers. tkj 2018; 10 (2) :22-31
URL: http://tkj.ssu.ac.ir/article-1-790-en.html
Shahid Sadoughi University of Medical Sciences, Yazd , shayegh1746@yahoo.com
Abstract:   (2986 Views)
Introduction: Respiratory diseases are one of the most common occupational diseases in Iran. This study aimed to investigate the factors affecting the time of development of pulmonary restrictive patterns in the workers' spirometry in Yazd tile using interval-censored survival analysis.
Methods: This was a historical cohort study, which was performed on 596 male tile industry workers in Yazd Province. All cases were recruited from those who admitted for annual periodic medical checkup since 2008 to 2013 without restrictive pulmonary disorder and follow up regarding restrictive pulmonary disorder at Occupational Medicine Clinic in Yazd Province. Data analysis was performed by R statistical software (version 3.2.3) using interval-censored survival data. To investigate the effect of variables for univariate and multivariate regression models, complete parameter was used. Akaike's criterion was used to compare the efficiency criterion parametric models.
Results: Working unit in the multivariate analysis was an effective factor in the diagnosis of pulmonary restrictivedisorder in the workers (p<0.05). Employment in the crusher unit in comparison with ballmillunit  reduced the risk of development of pulmonary restrictive disorder by 15%. Working in the other units  reduced the risk of development of pulmonary restrictive disorder by 18% in these workers.
Conclusion: Log-logistic model was the best fitted parametric model to the data according to Akaike's criterion.
Full-Text [PDF 865 kb]   (695 Downloads) |   |   Full-Text (HTML)  (827 Views)  
Type of Study: Applicable | Subject: occupational medicine
Received: 2016/08/9 | Accepted: 2017/01/2 | Published: 2018/11/15

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 | Occupational Medicine Quarterly Journal

Designed & Developed by : Yektaweb