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. 2012 Jan;29(1):6-10.
doi: 10.4103/0970-2113.92348.

Co-morbidities among silicotics at Shakarpur: A follow up study

Affiliations

Co-morbidities among silicotics at Shakarpur: A follow up study

Nayanjeet Chaudhury et al. Lung India. 2012 Jan.

Abstract

Context: Studies have revealed high morbidity and mortality among agate stone workers of Shakarpur due to silicosis. Besides the fatal disease, the workers also suffer from debilitating co-morbidities especially tuberculosis and under nutrition.

Aims: The present study describes few co-morbidities and their influence in mortality in cases of silicosis that were followed for 30 months at Shakarpur.

Settings and design: Shakarpur, Khambhat of Gujarat.

Materials and methods: Spirometry for lung function, chest X-ray, anthropometry, body fat % measurement, record of tuberculosis status and ILO classification of pneumoconiosis were done among 53 chest symptomatic patients above 15 years of age who were followed for 30 months.

Results: Out of 53 participants (35 men), with an average duration of exposure to free silica of 16.8 years, more than half of the male workers were underweight (BMI<18.5 kg/m(2)) at enrollment. Thirteen participants died in less than 3 years of follow up. While 11 of them were silicosis positive out of which 10 had tuberculosis. The odds ratio for association between silicosis and tuberculosis was 2.75. A majority (81.1%) of the 37 silicosis positive cases showed a mixed pattern in spirometry suggesting co-existence of restrictive and obstructive pathology. On regression analysis, TB and nutritional status were found to have strong influence on mortality.

Conclusions: Screening for early diagnosis of silicosis as well as co-morbid conditions and managing them would go a long way in prolonging the lives of the agate stone workers who are prone to die early due to silicosis.

Keywords: Agate worker; co-morbidities; silicosis; tuberculosis.

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Conflict of interest statement

Conflict of Interest: None declared.

Figures

Figure 1
Figure 1
Box plot showing gender wise BMI distribution and body fat distribution

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