Select toxic metals status of pregnant women with history of pregnancy complications in Benin City, South-South Nigeria.

Toxic metals are part of the most important groups of environmental pollutants that can bind to vital cellular components and interfere with their functions via inhalation, foods, water etc. The serum levels of toxic metals (lead, mercury, cadmium and arsenic) in pregnant women with history of pregnancy complications, pregnant women without history of pregnancy complication and non-pregnant women in Benin City, South – South Nigeria was investigated in this paper, with total of 135 healthy women comprising of 45 pregnant women with history of previous pregnancy complications, 45 pregnant women without history of pregnancy complications and 45 non-pregnant women without history of pregnancy complications (controls). Some demographic characteristics and 4ml of blood samples were obtained from each subject for the analysis of lead, mercury, cadmium and arsenic by standard methods. Pregnant women with history of pregnancy complications recorded a highly significant increase in the toxic metal (lead) mean value of 25.81μg/dl as against 23.70μg/dl for pregnant women without history of pregnancy complications and 11.23μg/dl for non-pregnant (control) women without history of pregnancy complications as well as significant increases in the mean values of other toxic metals (mercury, cadmium and arsenic) compared with controls (p<0.001). The selected toxic metals (Pb, Hg, Cd and As) may be involved in the development of pregnancy complications among pregnant women in Benin City, South– South Nigeria. Lead in particular may pose threat to mothers and fetuses as its mean values in the two groups of pregnant women were well above normal.

Prevalence of chronic diseases in private healthcare sector of South Africa: A threat to public health

Purpose: To evaluate the prevalence of patients suffering from registered chronic disease list (CDL) conditions in a section of the South African private health sector from 2008 - 2012. Methods: This study was a retrospective analysis of the medicine claims database of a nationally (South African) representative Pharmacy Benefit Management (PBM) company data between 2008 and 2012. Statistical analysis was used to analyse the data. Descriptive analysis was performed to calculate the prevalence of CDL conditions for the entire population, and stratified by age and gender. However, MIXED linear modelling was used to determine changes in the average number of CDL conditions per patient, adjusted for age and gender from 2008 - 2012. Results: An increase of 0.20 in chronic diseases was observed from 2008 - 2012 in patients having any CDL condition, with an average of 1.57 (1.57 - 1.58, 95 % CI) co-morbid CDL conditions in 2008 and 1.77 (1.77 - 1.78, 95 % CI) in 2012. This increase in average number of CDL conditions per patient between 2008 and 2012 was statistically significant (p < 0.05), but with no large practical significance (d < 0.8). Conclusion: Prevalence of patients with CDL conditions along with risk of co-morbidity has been increasing with time in the private health sector of South Africa. Risk of increased co-morbidity with age and among different genders was prevalent.