Socio-economic, environmental and health aspects of farm workers engaged in mango plantations.

A cross-sectional survey of 489 male subjects in the age group 15 to 65 years engaged directly or indirectly in mango cultivation along with 208 control subjects was carried out to find their socio-economic, environmental and health conditions. The conditions like high illiteracy rate (49.5%), poverty (PCI less than Rs 100 per month, 52.2%), poor housing (mud houses, 66.7%) unsafe water supply (78.6%) were prevailing in the surveyed population. The high respiratory morbidity may be attributed to high prevalence of smoking and prolonged inhalation of organic dusts during farming operation associated with illiteracy and poor socio-economic status. Gastrointestinal disorders were related to poor hygienic conditions, smoking and consumption of contaminated water. The symptoms pertaining to CNS, skin and eyes were found to be associated with exposure to pesticides.

Chronic effects of hexachlorocyclohexane exposure: clinical, hematologic and electrocardiographic studies.

Twenty-six farm workers handling about 4 kg of commercial grade hexachlorocyclohexane (HCH)/y for 2-5 y and 21 control subjects were studied for chronic effects in clinical, hematological and cardiac variables. No clinically apparent morbidity was detected, but changes in hemoglobin and electrocardiograms were early effects of HCH exposure.

Multivariate analysis of byssinosis risk assessment.

Multiple logistic regression model was used considering byssinosis as an independent variable, and dustiness, smoking, exposure years and age as explanatory variables. Dustiness and length of exposure to the dust were found to be the most important contributory factors to byssinosis prevalence. The risk of byssinosis among workers in card room, blow room and waste plant sections and those who had exposure of more than 5 years was nearly three times than that among workers of other sections of the mill and/or with less than 5 years of exposure.

Pneumoconiosis risk assessment in agate workers--multiple logistic model.

A multivariate logistic model for measuring and comparing pneumoconiosis risk is described. In the first stage variables are screened on the basis of contributed variability via Pearson Chi Square statistic. Age, dust years and pack years so chosen as explanatory variables are fitted in the above model. The coefficients are estimated as linear discriminant function co-efficient. The model gives quite a good fit between observed and expected frequencies. Dust years discriminate maximum between the normal and pneumoconiosis group. Nearly sixty per cent of the variation is explained by these variables.