Quantification and health risk assessment of heavy metals in milled maize and millet in the Tolon District, Northern Ghana.

This study was conducted to quantify the levels and measure the health risk of selected heavy metals (Fe, Zn, Pb, Mn, Cr, Ni) in milled millet and maize from 10 communities in the Tolon District, northern region of Ghana. Control samples of maize and millet were also prepared in order to identify whether the sources of the heavy metals were limited to the milling process or otherwise. The heavy metals present in the collected milled samples were quantified using an AAS Varian Spectra 220 FS. The average concentrations of the selected heavy metals in the milled maize samples were the following: Fe = 1.3392 ± 0.4341 mg/kg, Ni = 0.9502 ± 0.2696 mg/kg, Pb = 2.2177 ± 0.0534 mg/kg, Cr = 0.4359 ± 0.3574 mg/kg, Zn = 0.6809 ± 0.0534 mg/kg, and Mn = 0.3550 ± 0.1042 mg/kg. Milled millet samples recorded mean concentration of the heavy metals as Fe = 1.9467 ± 1.0597 mg/kg, Ni = 0.9520 ± 0.1218 mg/kg, Pb = 2.2780 ± 0.0221 mg/kg, Cr = 0.3421 ± 0.1498 mg/kg, Zn = 0.8540 ± 0.1139 mg/kg, and Mn = 0.4241 ± 0.0859 mg/kg. All selected heavy metals concentrations were below standards in food except Pb. Locally made mill plates were found to leach heavy metals in the milled flours due to the direct contact of the grains with the mill plates. However, the comparison of milled to pounded flour (control samples) indicated other potential sources of heavy metals aside from the disk attrition mill. The health risk assessment revealed no potential hazards nor cancer risk in both children and adults.

Estimating economic damage from climate change in the United States.

Estimates of climate change damage are central to the design of climate policies. Here, we develop a flexible architecture for computing damages that integrates climate science, econometric analyses, and process models. We use this approach to construct spatially explicit, probabilistic, and empirically derived estimates of economic damage in the United States from climate change. The combined value of market and nonmarket damage across analyzed sectors-agriculture, crime, coastal storms, energy, human mortality, and labor-increases quadratically in global mean temperature, costing roughly 1.2% of gross domestic product per +1°C on average. Importantly, risk is distributed unequally across locations, generating a large transfer of value northward and westward that increases economic inequality. By the late 21st century, the poorest third of counties are projected to experience damages between 2 and 20% of county income (90% chance) under business-as-usual emissions (Representative Concentration Pathway 8.5).

Depressive symptomatology at age 75 and subsequent use of health and social services.

It is well documented that elderly persons are the largest consumers of many health and social services. Consequently it is of interest to identify characteristics of users of those services. The purpose of this study is to examine whether depressive symptoms among men and women at age 75 are an independent determinant of incident hospitalization and use of home help 5 years later. Four hundred and ten men and women participated in a prospective study in Glostrup, Denmark, when they were 75 and 80 years old. Depressive symptoms were evaluated by the Center for Epidemiologic Studies Depression Scale (CES-D Scale). Use of health and social services was measured by asking the participants whether they had been hospitalized or used home help during the year before follow-up. Among women, depressive symptoms at age 75 were associated with subsequent use of home help at age 80 (odds ratio (OR) = 2.5; 95% confidence interval (CI): 1.2-5.0) and marginally associated with subsequent hospitalization (OR = 1.8; 95% CI: 0.96-3.5). None of these results were seen in men. Preventive services should take into account depressive symptoms among elderly women.