Survival Analysis of Coal Workers’ Pneumoconiosis (CWP) Patients in a State-Owned Mine in the East of China from 1963 to 2014

Han, Lei; Gao, Qianqian; Yang, Jingjin; Wu, Qiuyun; Zhu, Baoli; Zhang, Hengdong; Ding, Boxiao; Ni, Chunhui

doi:10.3390/ijerph14050489

Cited by 44 publications

(27 citation statements)

References 23 publications

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“…CWP patients without pulmonary TB showed higher than patients with pulmonary TB for survival, and a significant difference was observed in the survival curves between these two groups. Cox regression model for evaluation using risk factors, dust exposure years, an age of onset and first diagnostic stage indicated that prevention and treatment of CWP complication are important for patient survival rates (Han et al, 2017).…”

Section: Chronic Lower Respiratory Diseasementioning

confidence: 99%

Health implications of exposure to coal mine dust in workers –A Review

Ganesan¹,

Sangeetha²

2019

ijrps

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Major health problem for workers is prevalent in all nations due to occupational hazards. Coal mining is one of the largest and oldest industries in the world. However, no such information is available in the literature regarding the health status of coal mine workers. Coal is a basic necessity for the production of electricity and steel. Along with machines, humans are the workforce in every coal mine industry. Air pollutants and dust mixed with silica are the two major factors that affect the health of coal mine workers. Coal mine workers run the risk of getting respiratory damage due to high levels of dust and other chemical particulate matters. Some of the disorders caused by coal mines are Chronic Pulmonary Obstructive Disease (COPD), Coal Workers Pneumoconiosis (CWP), Asthma and massive fibrosis. Prolonged exposure to coal mine dust may cause a variety of diseases like Tuberculosis, Chronic Bronchitis, Heart Diseases, Lung Cancer, Pneumonia, liver disease, kidney damage, DM and Reproductive disorders. All these diseases may be induced if mine workers are subjected to prolonged exposure. This review article highlights the outcome of research works done in the past three decades on the health implications of coal mine workers. Further studies are required with respect to the degree of damage to each organ and to prepare a set of guidelines to be followed by coal mine industries to be strictly followed to safeguard the wellbeing of coal mine workers.

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Section: Chronic Lower Respiratory Diseasementioning

confidence: 99%

Health implications of exposure to coal mine dust in workers –A Review

Ganesan¹,

Sangeetha²

2019

ijrps

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“…In this paper, we investigated the case where the data is masked and the failure time is partly interval-censored (PIC) using the Bayesian approach. We employed the Cox proportional hazards model, which is used extensively but mostly for public health studies; see, for example, Han et al [16] and Liu et al [17]. e rest of the paper is organized as follows.…”

Section: Introductionmentioning

confidence: 99%

A Bayesian Approach to Competing Risks Model with Masked Causes of Failure and Incomplete Failure Times

Yousif

Elfaki

Hrairi

et al. 2020

Mathematical Problems in Engineering

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We present a Bayesian approach for analysis of competing risks survival data with masked causes of failure. This approach is often used to assess the impact of covariates on the hazard functions when the failure time is exactly observed for some subjects but only known to lie in an interval of time for the remaining subjects. Such data, known as partly interval-censored data, usually result from periodic inspection in production engineering. In this study, Dirichlet and Gamma processes are assumed as priors for masking probabilities and baseline hazards. Markov chain Monte Carlo (MCMC) technique is employed for the implementation of the Bayesian approach. The effectiveness of the proposed approach is illustrated with simulated and production engineering applications.

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“…In China, the survival of patients with pneumoconiosis is not sufficient 9 10. One survival analysis of CWP patients in a state-owned mine in the east of China from 1963 to 2014 showed that the average survival was 12.1 years after diagnosis of CWP and the average death age was 57.4 years 11. Another analysis of patients in Changsha from 1956 to 2010 pointed out the life expectancy was 60.12 years 12.…”

Section: Introductionmentioning

confidence: 99%

The utility of health belief model to explain self-protective behaviour against pneumoconiosis in Chinese underground coal miners: a cross-sectional study

Liu

Chen

et al. 2019

BMJ Open

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ObjectivesCoal workers’ pneumoconiosis is caused by exposure to respirable coal mine dust. The self-protection of underground coal miners (UCM) plays an irreplaceable role against this threat. The purpose of this study was to evaluate the predictors of self-protective behaviour (SPB) in Chinese UCM based on the health belief model (HBM).MethodsA cross-sectional study was conducted among 341 UCM in January 2016 in Pingdingshan City, Henan Province, People’s Republic of China. Data was collected using a self-reported questionnaire, which included questions on sociodemographic characteristics, HBM variables and SPB. An exploratory factor analysis of the principal components with varimax rotation was carried out on the HBM-related items. Pearson’s correlation and multiple linear regression analysis were used to assess the relationship between sociodemographic characteristics, HBM variables and SPB.ResultsMultiple regression analysis demonstrated the monthly income (B=0.403, p=0.001), the internal cues to action (B=0.380, p<0.001) and external cues to action (B=0.401, p<0.001) as the predictors of UCM’s SPB, accounting for 24.8% of total variance (F=34.96, p<0.001), while the cognition variables of HBM were not significantly associated with SPB.ConclusionThe results suggested that both internal and external cues to action were powerful predictors for SPB. These findings highlight that further efforts are required to provide the UCM with periodic health check-up reports and promote the active role of doctors and family members in miners’ decision-making to simulate them for better SPB.Ethics approvalAll data collection procedures received ethical approval from the Ethics Committee of Xuhui District Centre for Disease Control and Prevention (XHHEC-2016–7).

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Survival Analysis of Coal Workers’ Pneumoconiosis (CWP) Patients in a State-Owned Mine in the East of China from 1963 to 2014

Cited by 44 publications

References 23 publications

Health implications of exposure to coal mine dust in workers –A Review

Health implications of exposure to coal mine dust in workers –A Review

A Bayesian Approach to Competing Risks Model with Masked Causes of Failure and Incomplete Failure Times

The utility of health belief model to explain self-protective behaviour against pneumoconiosis in Chinese underground coal miners: a cross-sectional study

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