men and 902 women) aged 25-64 years. The survey instruments were questionnaire: modified from existing questionnaires (Likeret scale, Jenkins activity survey and Friedman and Rosenman structured interview questionnaires). The questionnaire for assessment of type A behaviour was administered by a psychologist and subjects were divided into type A behaviour (n = 306), possible type A behaviour (n = 157) or no such behaviour (n = 1343) according to rating of their type A behaviour based on scores of various attributes such as hostility, aggressiveness, ambitiousness, competitiveness and pace or time urgency. The prevalence of type A behaviour was significantly greater among men compared to women (21.9 vs 11.9%, p < 0.01). The overall prevalence of type A and possible type A behavior was also significantly higher in men than women (32.4 vs 18.8%, p < 0.01) and the overall prevalence of total behaviour abnormality was 25.6% in both sexes. Type A behaviour was highly prevalent among social class 1 and 2 subjects in both sexes and showed significant association with CAD. The findings indicate that type A behaviour assessed by scores constructed based on various attributes of behaviour is accurate and the personality rating scale validated by us may be used successfully in other population groups of India. The novelity is that these parameters in conjunction with other cultural factors can be used for rating of behavior in other populations of Asia and Europe because of cultural differences in Europe, Asia and North America.
E-waste is a popular name given to those electronic products nearing the end of their useful life which has become a major source of heavy metal contamination in soil and hence, became the global concern. Various samples of soil were collected from different sites and were determined for heavy metal analysis by the ICP-AAS after the digestion process. The main source of contamination is illegal e-waste recycling activities such as burning of PCB's acid baths etc. Different soil indices like contamination factor, I-geo, pollution load index, were calculated to determine the quality of the soil. Results indicate that e-waste recycling and industrial area are strongly contaminated by the heavy metals. Physiological analysis of soil revealed that e-waste processing and industrial activities decrease the soil pH and organic matter while enhancing the electrical conductivity of soil. The exceedance of metal contamination imposed negative impact to the soil environment and human health.
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