Relationship of physical factors and salinity with indicator bacteria in Bahía Blanca estuary waters, Argentina.

The relationship between the number of Escherichia coli, terrestrial and marine heterotrophic bacteria, with certain physical and chemical parameters in Bahia Blanca estuary waters, were investigated by means of a statistical analysis of multiple linear regression. The samples were taken during a period of 16 months. Although distance from the sewage outlet seems to be the factor having the greatest effect on the number of alien bacteria, the models obtained for E. coli are inappropriate to predict bacterial behaviour in this particular natural habitat, while for heterotrophic bacteria descriptive models were selected. The results of this study suggest that many factors affect bacterial population densities in this estuarine ecosystem. This should be taken into account trying to solve the problem in order to avoid progressive degradation.

Relationship of physical factors and salinity with indicator bacteria in Bahía Blanca estuary waters, Argentina

The relationship between the number of Escherichia coli, terrestrial and marine heterotrophic bacteria, with certain physical and chemical parameters in Bahia Blanca estuary waters, were investigated by means of a statistical analysis of multiple linear regression. The samples were taken during a period of 16 months. Although distance from the sewage outlet seems to be the factor having the greatest effect on the number of alien bacteria, the models obtained for E. coli are inappropriate to predict bacterial behaviour in this particular natural habitat, while for heterotrophic bacteria descriptive models were selected. The results of this study suggest that many factors affect bacterial population densities in this estuarine ecosystem. This should be taken into account trying to solve the problem in order to avoid progressive degradation.

Sex differences in mental illness: a community study of the influence of physical health and sociodemographic factors.

This paper examines sex differences in psychiatric morbidity, using data from a community sample. The PSE-CATEGO-ID system was used to evaluate psychopathology. Six sociodemographic factors and physical illness were taken as independent variables. Females exhibit both a significantly higher psychiatric morbidity than males and a predominance of syndromes closely related to depression (SD; OD syndromes) and anxiety (GA; SA; TE; IT syndromes). Logistic modelling analysis, carried out separately for each sex, yielded different models. Psychiatric illness in men was best predicted by physical illness, unemployment and the interaction between the two. In contrast, physical illness emerged, in women, as the only factor exerting significant effects on psychiatric morbidity.