Dataset Information

Spatial prediction of the concentration of selenium (Se) in grain across part of Amhara Region, Ethiopia.

ABSTRACT: Grain and soil were sampled across a large part of Amhara, Ethiopia in a study motivated by prior evidence of selenium (Se) deficiency in the Region's population. The grain samples (teff, Eragrostis tef, and wheat, Triticum aestivum) were analysed for concentration of Se and the soils were analysed for various properties, including Se concentration measured in different extractants. Predictive models for concentration of Se in the respective grains were developed, and the predicted values, along with observed concentrations in the two grains were represented by a multivariate linear mixed model in which selected covariates, derived from remote sensor observations and a digital elevation model, were included as fixed effects. In all modelling steps the selection of predictors was done using false discovery rate control, to avoid over-fitting, and using an ?-investment procedure to maximize the statistical power to detect significant relationships by ordering the tests in a sequence based on scientific understanding of the underlying processes likely to control Se concentration in grain. Cross-validation indicated that uncertainties in the empirical best linear unbiased predictions of the Se concentration in both grains were well-characterized by the prediction error variances obtained from the model. The predictions were displayed as maps, and their uncertainty was characterized by computing the probability that the true concentration of Se in grain would be such that a standard serving would not provide the recommended daily allowance of Se. The spatial variation of grain Se was substantial, concentrations in wheat and teff differed but showed the same broad spatial pattern. Such information could be used to target effective interventions to address Se deficiency, and the general procedure used for mapping could be applied to other micronutrients and crops in similar settings.

SUBMITTER: Gashu D

PROVIDER: S-EPMC7298608 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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Spatial prediction of the concentration of selenium (Se) in grain across part of Amhara Region, Ethiopia.

Gashu D D Lark R M RM Milne A E AE Amede T T Bailey E H EH Chagumaira C C Dunham S J SJ Gameda S S Kumssa D B DB Mossa A W AW Walsh M G MG Wilson L L Young S D SD Ander E L EL Broadley M R MR Joy E J M EJM McGrath S P SP

The Science of the total environment 20200512

Grain and soil were sampled across a large part of Amhara, Ethiopia in a study motivated by prior evidence of selenium (Se) deficiency in the Region's population. The grain samples (teff, Eragrostis tef, and wheat, Triticum aestivum) were analysed for concentration of Se and the soils were analysed for various properties, including Se concentration measured in different extractants. Predictive models for concentration of Se in the respective grains were developed, and the predicted values, along ...[more]

PMID: 32446063

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Project description:BackgroundWomen living in resource constrained settings often have limited knowledge of and access to surgical treatment for pelvic organ prolapse. Additionally, little is known about experiences during recovery periods or about the reintegration process for women who do gain access to medical services, including surgery. This study aimed to explore women's experiences related to recovery and reintegration after free surgical treatment for pelvic organ prolapse in a resource-constrained setting.MethodsThe study had a qualitative design and used in-depth interviews in the data collection with a purposive sample of 25 participants, including 12 women with pelvic organ prolapse. Recruitment took place at the University of Gondar Hospital, Ethiopia, where women with pelvic organ prolapse had been admitted for free surgical treatment. In-depth interviews were carried out with women at the hospital prior to surgery and in their homes 5-9 months following surgery. Interviews were also conducted with health-care providers (8), representatives from relevant organizations (3), and health authorities (2). The fieldwork was carried out in close collaboration with a local female interpreter.ResultsThe majority of the women experienced a transformation after prolapse surgery. They went from a life dominated by fear of disclosure, discrimination, and divorce due to what was perceived as a shameful and strongly prohibitive condition both physically and socially, to a life of gradually regained physical health and reintegration into a social life. The strong mobilization of family-networks for most of the women facilitated work-related help and social support during the immediate post-surgery period as well as on a long-term basis. The women with less extensive social networks expressed greater challenges, and some struggled to meet their basic needs. All the women openly disclosed their health condition after surgery, and several actively engaged in creating awareness about the condition.ConclusionsFree surgical treatment substantially improved the health and social life for most of the study participants. The impact of the surgery extended to the communities in which the women lived through increased openness and awareness and thus had the potential to ensure increased disclosure among other women who suffer from this treatable condition.

Dataset Information

Spatial prediction of the concentration of selenium (Se) in grain across part of Amhara Region, Ethiopia.

Publications

Spatial prediction of the concentration of selenium (Se) in grain across part of Amhara Region, Ethiopia.

Similar Datasets

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