Volume 10, Issue 2 (Occupational Medicine Quarterly Journal 2018)
tkj 2018, 10(2): 22-31 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
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
URL: http://tkj.ssu.ac.ir/article-1-790-en.html
Shahid Sadoughi University of Medical Sciences, Yazd , shayegh1746@yahoo.com
Full-Text [PDF 865 kb]
(767 Downloads)
| Abstract (HTML) (3326 Views)
Factors affecting the time of development of pulmonary restrictive disorder in Yazd Tile Industry workers using interval censored data survival analysis
Askarishahi M1(PhD), Shayegh M2(MSc student), Mostaghasi M3(MD),
Zare Sakhvidi M4(PhD)
1 Assistant Professor, Department of Statistics and Epidemiology, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
2 MSc Student in Biostatistics, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
3 Assistant Professor, Department of Occupational Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
4 Assistant Professor, Department of Occupational Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
Abstract
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.
Keywords: Pulmonary Restrictive Disorder, Survival Analysis, Interval Censored, Parametric Models
* Corresponding Author:
Tel: +989155844357
Email: shayegh1746@yahoo.com
Received: 2017.08.10 accepted: 2018.05.17
Full-Text: (957 Views)
Factors affecting the time of development of pulmonary restrictive disorder in Yazd Tile Industry workers using interval censored data survival analysis
Askarishahi M1(PhD), Shayegh M2(MSc student), Mostaghasi M3(MD),
Zare Sakhvidi M4(PhD)
1 Assistant Professor, Department of Statistics and Epidemiology, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
2 MSc Student in Biostatistics, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
3 Assistant Professor, Department of Occupational Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
4 Assistant Professor, Department of Occupational Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
Abstract
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.
Keywords: Pulmonary Restrictive Disorder, Survival Analysis, Interval Censored, Parametric Models
| This paper should be cited as: Askarishahi M, Shayegh M, Mostaghasi M, Zare Sakhvidi M. Factors affecting the time of development of pulmonary restrictive disorder in Yazd Tile Industry workers using interval censored data survival analysis. Occupational Medicine Quarterly Journal 2018; 10(2): |
* Corresponding Author:
Tel: +989155844357
Email: shayegh1746@yahoo.com
Received: 2017.08.10 accepted: 2018.05.17
Type of Study: Applicable |
Subject:
occupational medicine
Received: 2016/08/9 | Accepted: 2017/01/2 | Published: 2018/11/15
Received: 2016/08/9 | Accepted: 2017/01/2 | Published: 2018/11/15
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
