Dataset Information

A dataset of the food self-sufficiency assessment of Bristol and Vienna based on a foodshed approach.

ABSTRACT: The food self-sufficiency assessment of Bristol and Vienna was developed by applying the Metropolitan Foodshed and Self-sufficiency scenario (MFSS) model [1] in the proposed respective foodsheds. In the case of Vienna 25 surrounding districts (i.e. Niederösterreich region) were selected, whereas for Bristol 5 districts surrounding the city were included. The model takes the consumption patterns as well as the available area for agriculture in the proposed foodsheds as the main inputs. Intermediate calculations are developed using data on population and yields. The outputs after applying the MFSS model are: (1) the area demand (i.e. surface needed to meet the population´s dietary requirements) in terms of surface and radius, and (2) the potential food self-sufficiency, at district level and for the whole foodshed area. The outputs are shown for 12 scenarios resulting after combining four variables: (1) production system (conventional vs organic), (2) dietary shifts (domestic vs current diet), (3) reducing food losses and waste, and (4) population growth 2015-2050. The analytical outputs from the MFSS model are converted in spatial data after applying GIS software. Whereas some of the supporting information on the inputs are shown spatially, the spatial outputs are shown in the co-submitted publication [2], as well as a summary of the datasets shown here. These data can be used to develop food policies in both city-regions as well as to test whether a specific policy is feasible. The data might be especially useful for policymakers and governance actors (e.g. food policy councils) when developing or assessing the food policies for both cities. The data can be used also by policymakers in other cities developing foodshed assessments. Furthermore, other stakeholders (e.g. education, NGOs) might use the data to increase the awareness of the impact of dietary patterns on the food land footprint.

SUBMITTER: Vicente Vicente JL

PROVIDER: S-EPMC8496097 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Background: Post-earthquake studies from around the world have reported that survivors relying on emergency food for prolonged periods of time experienced several dietary related health problems. The present study aimed to quantify the potential nutrient production of urban agricultural vegetables and the resulting nutritional self-sufficiency throughout the year for mitigating post-disaster situations. Methods: We estimated the vegetable production of urban agriculture throughout the year. Two methods were developed to capture the production from professional and hobby farms: Method I utilized secondary governmental data on agricultural production from professional farms, and Method II was based on a supplementary spatial analysis to estimate the production from hobby farms. Next, the weight of produced vegetables [t] was converted into nutrients [kg]. Furthermore, the self-sufficiency by nutrient and time of year was estimated by incorporating the reference consumption of vegetables [kg], recommended dietary allowance of nutrients per capita [mg], and population statistics. The research was conducted in Nerima, the second most populous ward of Tokyo's 23 special wards. Self-sufficiency rates were calculated with the registered residents. Results: The estimated total vegetable production of 5660 tons was equivalent to a weight-based self-sufficiency rate of 6.18%. The average nutritional self-sufficiencies of Methods I and II were 2.48% and 0.38%, respectively, resulting in an aggregated average of 2.86%. Fluctuations throughout the year were observed according to the harvest seasons of the available crops. Vitamin K (6.15%) had the highest self-sufficiency of selected nutrients, while calcium had the lowest (0.96%). Conclusions: This study suggests that depending on the time of year, urban agriculture has the potential to contribute nutrients to diets during post-disaster situations as disaster preparedness food. Emergency responses should be targeted according to the time of year the disaster takes place to meet nutrient requirements in periods of low self-sufficiency and prevent gastrointestinal symptoms and cardiovascular diseases among survivors.

Project description:BackgroundStrengthening the capacity of hospitals to take into account the level of health literacy of their public is a necessity to improve the quality of care. One way to develop adequate health literacy responsive policy and strategies in hospitals is the use of self-assessment tools to raise awareness, help prioritise action and mobilise stakeholders. The Vienna Health Literate Organisation (V-HLO) questionnaire, recently translated and adapted into French, is designed to meet this objective. In this study we have piloted the French version of the V-HLO (V-HLO-fr) tool in the main hospitals of Liège (Belgium) to explore its feasibility and gain a first insight into the strengths and weaknesses of the health literacy responsiveness of the participating hospitals.MethodsWe performed explorative case studies in three hospitals. Our mode of application of the V-HLO-fr was inspired by the 'RAND Appropriateness' method: first, individual members of an internal multidisciplinary panel filled out the questionnaire and then the results were discussed collectively in each hospital during a 'round table' meeting. The feasibility of the process was assessed by direct observation of the round tables and with semi-structured phone interviews.ResultsThe V-HLO-fr tool was fully applied in the three targeted hospitals and the process seems to be acceptable, practicable and integrable. Strengths (e.g. the facilitation of patient navigation to the hospital) and weaknesses (e.g. the provision of easy to read, understand and act on health information materials) in terms of health literacy responsiveness have been highlighted.ConclusionV-HLO-fr can be a suitable tool for a needs assessment that allows hospitals to create awareness and formulate targeted actions to further strengthen their health literacy responsiveness. Its mode of application, formalised by taking inspiration from the RAND method, could be further improved by paying more attention to recruiting and supporting participants. The V-HLO-fr and its added value in real-world projects should now be further tested in a larger number of hospitals.

Dataset Information

A dataset of the food self-sufficiency assessment of Bristol and Vienna based on a foodshed approach.

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