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BACKGROUND: The interaction between serum neuron-specific enolase (NSE), biogenic amino-acids and neurobehavioral function with blood lead levels in workers exposed to lead form lead-acid battery manufacturing process was not studied. OBJECTIVE: To evaluate serum NSE and biogenic amino-acids (dopamine and serotonin) levels, and neurobehavioral performance among workers exposed to lead from lead-acid storage battery plant, and its relation with blood lead levels (BLLs). METHODS: In a cross-sectional study, we performed biochemical and neurobehavioral function tests on 146 workers exposed to lead from lead-acid battery manufacturing process. BLLs were assessed by an atomic absorption spectrophotometer. Serum NSE, dopamine and serotonin were measured by ELISA. Neurobehavioral functions were assessed by CDC-recommended tests---simple reaction time (SRT), symbol digit substitution test (SDST), and serial digit learning test (SDLT). RESULTS: There was a significant correlation (r 0.199, p<0.05) between SDST and BLL. SDLT and SRT had also a significant positive correlation (r 0.238, p<0.01). NSE had a negative correlation (r -0.194, p<0.05) with serotonin level. Multiple linear regression analysis revealed that both SRT and SDST had positive significant associations with BLL. SRT also had a positive significant association with age. CONCLUSION: Serum NSE cannot be used as a marker for BLL. The only domain of neurobehavioral function tests that is affected by increased BLL in workers of lead-acid battery manufacturing process is that of the "attention and perception" (SDST).

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This study was carried out to determine the effect of Pb exposure on the status of platelet indices in workers exposed to Pb during lead-acid battery plant process. Platelet indices and blood lead levels (BLLs) were determined in 429 male workers. BLLs were determined by using an atomic absorption spectrophotometer. Platelet indices in the samples were quantified by using the Sysmex KX-21 hematology analyzer. The levels of platelet count (PLT), plateletcrit (PCT) and mean platelet mass (MPM) were significantly decreased and platelet distribution width (PDW), platelet large cell ratio (P-LCR) and mean platelet volume were increased with an increase in BLLs. The results of linear multiple regression analysis showed that the platelet count (ß -0.143, P=0.005), PCT (ß -0.115, P=0.023) and MPM (ß -0.110, P=0.030) were negatively associated with BLLs and P-LCR (ß 0.122, P=0.016) was positively associated with BLLs. The variable of body mass index showed a positive association with PCT (ß 0.105, P=0.032) and MPM (ß 0.101, P=0.039). The results of the study may indicate that lead exposure may impair coagulation function through endothelial tissue injury and reduction of nitric oxide.

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The present study was carried out to find the relationship between blood lead levels (BLLs) and morbidities among 391 male workers employed in a factory manufacturing lead-acid storage batteries. A predesigned questionnaire was used to collect information on subjective health complaints and clinical observation made during a clinical examination. In addition to monitoring of BLL, other laboratory parameters investigated included hematological and urine-δ-aminolevulinic acid levels. Logistic regression method was used to evaluate the relationship between BLL and morbidities. The BLL among workers was associated with an odd ratio of respiratory, gastrointestinal (GI), and musculoskeletal (MSD) morbidities. Mean corpuscular hemoglobin and packed cell volume variables were associated with respiratory problems. The variables of alcohol consumption and hematological parameters were associated with GI complaints. Systolic blood pressure was related to MSD in workers exposed to Pb during the manufacturing process.

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To describe exposure level of organochlorine pesticides (OCP) among workers occupationally engaged in agriculture and sheep wool associated jobs, the present study was carried out in rural neighborhood of Bangalore city, India. Thirty participants were interviewed and obtained informed consent before blood sample collection. The maximum concentrations of OCP were detected in blood samples of agriculture workers than sheep wool workers. Among the metabolites of HCH and DDT, lindane (γ-HCH) and p,p'-DDE were the most contributed to the total OCP. There were no differences in pesticide residues found between sex and work groups. It was observed that about 30% of samples exceeded the tolerance limits of 10 µg/L prescribed for HCH under the prevention of food adulteration act. Therefore, the present study recommends continuous monitoring with larger sample size.

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BACKGROUND: Cholinesterase determination indicates whether the person has been under pesticide exposure is not. It is recommended that the worker's cholinesterase level should be assessed for workers at a pesticide applied region. Hence, cholinesterase activities in blood samples of agricultural workers exposed to vegetables and grape cultivation with age matched, unexposed workers, who never had any exposure to pesticides, were estimated. METHODS: The detailed occupational history and lifestyle characters were obtained by questionnaire. Cholinesterase activity was determined by the method of Ellman as modified by Chambers and Chambers. RESULTS: AChE was ranging from 1.65 to 3.54µmoles/min/ml in exposed subjects where as it was ranged from 2.22 to 3.51µmoles/min/ml in control subjects. BChE activity was ranging from 0.16 to 5.2µmoles/min/ml among exposed subjects, where as it was ranged from 2.19 to 5.06µmoles/min/ml in control subjects. The results showed statistically significant reduction in enzyme activities (AChE 14%; BChE 56%) among exposed subjects. CONCLUSION: It was concluded that the reduction in cholinesterase activity may lead to varieties of effects. Hence it is compulsory to use protective gadgets during pesticide spray. Further a continuous biomonitoring study is recommended to assess pesticide exposure.

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There are only a few studies performed on multinomial logistic regression on the benzene-exposed occupational group. A study was carried out to assess the relationship between the benzene concentration and trans-trans-muconic acid (t,t-MA), biomarkers in urine samples from petrol filling workers. A total of 117 workers involved in this occupation were selected for this current study. Generally, logistic regression analysis (LR) is a common statistical technique that could be used to predict the likelihood of categorical or binary or dichotomous outcome variables. The multinomial logistic regression equations were used to predict the relationship between benzene concentration and t,t-MA. The results showed a significant correlation between benzene and t,t-MA among the petrol fillers. Prediction equations were estimated by adopting the physical characteristic viz., age, experience in years and job categories of petrol filling station workers. Interestingly, there was no significant difference observed among experience in years. Petrol fillers and cashiers having a higher occupational risk were in the age group of ≤24 and between 25 and 34 years. Among the petrol fillers, the t,t-MA levels with exceeding ACGIH TWA-TLV level was showing to be more significant. This study demonstrated that multinomial logistic regression is an effective model for profiling the greatest risk of the benzene-exposed group caused by different explanatory variables.

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A study to monitor and estimate respirable particulate matter (RPM), toxic trace metal concentrations in the work environment was carried out in different sections of an integrated steel manufacturing industry. The average RPM concentration observed varied according to the section blast furnace was 2.41 mg/m;{3}; energy optimization furnace, 1.87 mg/m;{3}; sintering plant, 0.98 mg/m;{3}; continuous casting machine, 1.93 mg/m;{3}. The average trace metal concentration estimated from the RPM samples like iron, manganese, lead and chromium did not exceed ACGIH prescribed levels.

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An environmental and biological monitoring of a lead acid battery manufacturing unit was carried out to measure the respirable particulate matter, lead content in working atmosphere and blood lead levels of workers employed in different sections. The results showed high mean air lead concentration in buffing (1444.45 microg/m(3)), plate cutting (430.14 microg/m(3)) and pasting (277.48 microg/m(3)) sections. The mean blood lead levels of employees in these sections were also higher than the values prescribed by ACGIH.

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This preliminary study represents 10% of the workers in this occupation in Bangalore. The industry is highly commercial in nature and the city of Bangalore; has the largest number of units in Karnataka State. The study provides base line data relating to some morbidity conditions for future comparisons. Low back ache, tiredness, head ache, irritation in the eyes, sleeplessness, joint pains, chest pain, postural giddiness, persistent running nose, abdominal pain, cough and tremors of hands, were some of the common conditions elicited among the workers. Some of the conditions were identified to be possibly related to various processes within the industry. Particularly low back ache and irritation in the eyes (rolling and dipping), tremors of hands (packing). It is very likely that in the final stages when certain chemical ingredients are added which finally give the scent, the chances of pollutants entering either through skin or inhalation is possible. Environmental monitoring has not shown any appreciable dust hazard. The study has helped in identifying some of the areas in the work environment which required improvement. There is a need for social workers, medical personnel and industrial hygienists to explore the possibilities of minimizing possible hazards. A national sampling survey in other parts of the country might also be beneficial.

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Environmental monitoring to determine airborne asbestos fiber levels has been carried out in four different mills processing chrysotile asbestos in the Cuddapah District (Andhra Pradesh) of India. The "membrane filter method" comprising standard asbestos sampling techniques, acetone-triacetin method for sample preparation, fiber counting, and sizing using the phase contrast optical microscope were adopted in the study. Fiber concentrations both with respect to personal exposures and processing areas were found in most of the cases to be much higher than the prescribed Threshold Limit Value (TLVs) of the developed and developing countries for chrysotile asbestos. By optical microscopy, fiber length distribution showed 70% of fibers in the milling processes were in size range > 5-10 microns, whereas in > 10-20 and > 20 microns, 20% and 8%, respectively. Fiber identification for major elemental content, also done by using scanning electron microscope equipped with an energy dispersive X-ray analyzer, indicated the presence of tremolite along with chrysotile. The study stresses the urgent need to adopt suitable engineering controls at the dust generating sources to reduce the fiber level in the mill environment below the threshold limit.

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