Spatial pattern analysis of the impact of community food environments on foetal macrosomia, preterm births and low birth weight.

Community food environments (CFEs) have a strong impact on child health and nutrition and this impact is currently negative in many areas. In the Republic of Argentina, there is a lack of research evaluating CFEs regionally and comprehensively by tools based on geographic information systems (GIS). This study aimed to characterize the spatial patterns of CFEs, through variables associated with its three dimensions (political, individual and environmental), and their association with the spatial distribution in urban localities in Argentina. CFEs were assessed in 657 localities with ≥5,000 inhabitants. Data on births and CFEs were obtained from nationally available open-source data and through remote sensing. The spatial distribution and presence of clusters were assessed using hotspot analysis, purely spatial analysis (SaTScan), Moran's Index, semivariograms and spatially restrained multivariate clustering. Clusters of low risk for LBW, macrosomia, and preterm births were observed in the central-east part of the country, while high-risk clusters identified in the North, Centre and South. In the central-eastern region, low-risk clusters were found coinciding with hotspots of public policy coverage, high night-time light, social security coverage and complete secondary education of the household head in areas with low risk for negative outcomes of the birth variables studied, with the opposite with regard to households with unsatisfied basic needs and predominant land use classes in peri-urban areas of crops and herbaceous cover. These results show that the exploration of spatial patterns of CFEs is a necessary preliminary step before developing explanatory models and generating novel findings valuable for decision-making.

Quality and environmental footprints of diets by socio-economic status in Argentina.

Food consumption and production plays a major role on human health and environmental sustainability. In addition, socio-economic status (SES) could be an important determinant on these impacts. Here we investigated the quality and environmental footprints of diets of different SES in Argentina. Dietary data was obtained from a recent national-wide representative survey (21,547 households), and individual intake was estimated by applying the Adult-Male Equivalent (AME) approach. Dietary quality was assessed by comparing the apparent consumption of foods and nutrients with the level of intake associated with the lowest risk of mortality, and applying the Alternate Healthy Eating Index 2010 (AHEI-2010). The environmental footprints were assessed with a set of six environmental indicators: greenhouse gas (GHG) emissions, total land occupation, cropland demand, fossil energy use, freshwater consumption and eutrophying emissions. Per capita total expenditure was utilized as an indicator of SES. We found a suboptimal intake of healthy and excess of unhealthy foods and nutrients in all SES, as well as a low AHEI-2010 score (34.7 ± 3.56 over 100). Regarding environmental footprints per AME, we estimated 8.91 ± 2.49 kg CO2-eq/day for GHG emissions, 9.30 ± 2.93 MJ/day for fossil energy use, 54.2 ± 14.8 m2/day for total land occupation, 7.07 ± 1.90 m2/day for cropland demand, 205 ± 65.3 L/day for freshwater consumption and 19.8 ± 6.43 g PO4-eq/day for eutrophying emissions. The Argentinian diet was found to be both unhealthy and unsustainable in all socio-economic levels.

Environmental characteristics around the household and their association with hookworm infection in rural communities from Bahir Dar, Amhara Region, Ethiopia.

Soil-Transmitted Helminths (STH) are highly prevalent Neglected Tropical Disease in Ethiopia, an estimated 26 million are infected. Geographic Information Systems and Remote Sensing (RS) technologies assist data mapping and analysis, and the prediction of the spatial distribution of infection in relation to environmental variables. The influence of socioeconomic, environmental and soil characteristics on hookworm infection at the individual and household level is explored in order to identify spatial patterns of infection in rural villages from Zenzelema (Amhara region). Inhabitants greater than 5 years old were recruited in order to assess the presence of STH. Socioeconomic and hookworm infection variables at the household level and environmental variables and soil characteristics using RS were obtained. The dominant STH found was hookworm. Individuals which practiced open defecation and those without electricity had a significant higher number of hookworm eggs in their stool. Additionally, adults showed statistically higher hookworm egg counts than children. Nonetheless, the probability of hookworm infection was not determined by socioeconomic conditions but by environmental characteristics surrounding the households, including a combination of vigorous vegetation and bare soil, high temperatures, and compacted soils (high bulk density) with more acidic pH, given a pH of 6.0 is optimal for hatching of hookworm eggs. The identification of high-risk environmental areas provides a useful tool for planning, targeting and monitoring of control measures, including not only children but also adults when hookworm is concerned.