5 research outputs found

    Stakeholder-driven transformative adaptation is needed for climate-smart nutrition security in sub-Saharan Africa.

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    Improving nutrition security in sub-Saharan Africa under increasing climate risks and population growth requires a strong and contextualized evidence base. Yet, to date, few studies have assessed climate-smart agriculture and nutrition security simultaneously. Here we use an integrated assessment framework (iFEED) to explore stakeholder-driven scenarios of food system transformation towards climate-smart nutrition security in Malawi, South Africa, Tanzania and Zambia. iFEED translates climate-food-emissions modelling into policy-relevant information using model output implication statements. Results show that diversifying agricultural production towards more micronutrient-rich foods is necessary to achieve an adequate population-level nutrient supply by mid-century. Agricultural areas must expand unless unprecedented rapid yield improvements are achieved. While these transformations are challenging to accomplish and often associated with increased greenhouse gas emissions, the alternative for a nutrition-secure future is to rely increasingly on imports, which would outsource emissions and be economically and politically challenging given the large import increases required. [Abstract copyright: Ā© 2024. The Author(s).

    Stakeholder-driven transformative adaptation is needed for climate-smart nutrition security in sub-Saharan Africa - author correction

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    oai:repository.rothamsted.ac.uk:99048Improving nutrition security in sub-Saharan Africa under increasing climate risks and population growth requires a strong and contextualized evidence base. Yet, to date, few studies have assessed climate-smart agriculture and nutrition security simultaneously. Here we use an integrated assessment framework (iFEED) to explore stakeholder-driven scenarios of food system transformation towards climate-smart nutrition security in Malawi, South Africa, Tanzania and Zambia. iFEED translates climateā€“foodā€“emissions modelling into policy-relevant information using model output implication statements. Results show that diversifying agricultural production towards more micronutrient-rich foods is necessary to achieve an adequate population-level nutrient supply by mid-century. Agricultural areas must expand unless unprecedented rapid yield improvements are achieved. While these transformations are challenging to accomplish and often associated with increased greenhouse gas emissions, the alternative for a nutrition-secure future is to rely increasingly on imports, which would outsource emissions and be economically and politically challenging given the large import increases required

    Stakeholder-driven transformative adaptation is needed for climate-smart nutrition security in sub-Saharan Africa

    Get PDF
    Improving nutrition security in sub-Saharan Africa under increasing climate risks and population growth requires a strong and contextualised evidence base. Yet, to date, few studies have assessed climate-smart agriculture and nutrition security simultaneously. Here we use an integrated assessment framework (iFEED) to explore stakeholder-driven scenarios of food system transformation towards climate-smart nutrition security in Malawi, South Africa, Tanzania and Zambia. iFEED translates climate-food-emissions modelling into policy-relevant information using model output implication statements. Results show that diversifying agricultural production towards more micronutrient-rich foods is necessary to achieve an adequate population-level nutrient supply by mid-century. Agricultural areas must expand unless unprecedented rapid yield improvements are achieved. Whilst these transformations are challenging to accomplish and often associated with increased greenhouse gas emissions, the alternative for a nutrition-secure future is to rely increasingly on imports, which would outsource emissions and be economically and politically challenging given the large import increases required

    Post-traumatic stress disorder, major depressive disorder and generalised anxiety disorder, among university students following a terrorist attack in Kenya

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    Background: Little research exists in Sub-Saharan Africa on the rates of mental disorders following terror attacks. Available studies have examined PostTraumatic Stress Disorder (PTSD) only. This study sought to document the burden of PTSD, Major Depressive Disorder (MDD) and Generalized Anxiety Disorder (GAD) among survivors of the Garissa University College terror attack that occurred in North Eastern Kenya in 2015Methods: This was a retrospective chart review of medical records of students screened for psychopathology following the attack. Screening for the terror attack related PTSD, for MDD and for GAD was done using the PTSD Checklist for Diagnostic and Statistical Manual 5 (PCL-5), the Patient Health Questionnaire -9 (PHQ-9) and the Generalized Anxiety Disorder 7 ā€“ item Scale (GAD-7), respectively. Screening was conducted 7 weeks after the attack. Results: A total of 552 subjects were screened of whom 385 (69.7%) were male. Two hundred and fifty eight (46.7% [95% CI: 42.5, 50.9]) participants met criteria for a probable PTSD. Two hundred and five (37.1% [95%CI: 33.1, 41.2]) screened positive for MDD while 231 (41.8% [95%CI: 37.7, 46.0]) had probable GAD. There were high rates of co-occurrence of PTSD, MDD and GAD with 139 (25.1%) participants screening positive for all three disorders.Conclusions: The results of this study show a high mental health impact upon survivors of the attack. These findings have implications for the planning of interventions in the aftermath of terror attacks in Kenya

    Author Correction: Stakeholder-driven transformative adaptation is needed for climate-smart nutrition security in sub-Saharan Africa

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    Correction to: Nature Food https://doi.org/10.1038/s43016-023-00901-y, published online 2 January 2024. In the version of the article initially published, the XDER threshold for dietary energy in Figs. 3 and 4 and Supplementary Figs. 6ā€“11 was incorrectly set at approximately 230%. This is now corrected to be at approximately 130%. Figs. 3 and 4 have been corrected in the HTML and PDF versions of the article, and amended Supplementary Information is available online
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