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      Developing an online food composition database for an Indigenous population in south-western Uganda

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          Abstract

          Objective:

          To develop an online food composition database of locally consumed foods among an Indigenous population in south-western Uganda.

          Design:

          Using a community-based approach and collaboration with local nutritionists, we collected a list of foods for inclusion in the database through focus group discussions, an individual dietary survey and markets and shops assessment. The food database was then created using seven steps: identification of foods for inclusion in the database; initial data cleaning and removal of duplicate items; linkage of foods to existing generic food composition tables; mapping and calculation of the nutrient content of recipes and foods; allocating portion sizes and accompanying foods; quality checks with local and international nutritionists; and translation into relevant local languages.

          Setting:

          Kanungu District, south-western Uganda.

          Participants:

          Seventy-four participants, 36 Indigenous Batwa and 38 Bakiga, were randomly selected and interviewed to inform the development of a food list prior the construction of the food database.

          Results:

          We developed an online food database for south-western Uganda including 148 commonly consumed foods complete with values for 120 micronutrients and macronutrients. This was for use with the online dietary assessment tool myfood24. Of the locally reported foods included, 56 % ( n 82 items) of the items were already available in the myfood24 database, while 25 % ( n 37 items) were found in existing Ugandan and Tanzanian food databases, 18 % ( n 27 items) came from generated recipes and 1 % ( n 2 items) from food packaging labels.

          Conclusion:

          Locally relevant food databases are sparse for African Indigenous communities. Here, we created a tool that can be used for assessing food intake and for tracking undernutrition among the communities living in Kanungu District. This will help to develop locally relevant food and nutrition policies.

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          Most cited references41

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          Increasing CO2 threatens human nutrition.

          Dietary deficiencies of zinc and iron are a substantial global public health problem. An estimated two billion people suffer these deficiencies, causing a loss of 63 million life-years annually. Most of these people depend on C3 grains and legumes as their primary dietary source of zinc and iron. Here we report that C3 grains and legumes have lower concentrations of zinc and iron when grown under field conditions at the elevated atmospheric CO2 concentration predicted for the middle of this century. C3 crops other than legumes also have lower concentrations of protein, whereas C4 crops seem to be less affected. Differences between cultivars of a single crop suggest that breeding for decreased sensitivity to atmospheric CO2 concentration could partly address these new challenges to global health.
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            Iron bioavailability and dietary reference values.

            Iron differs from other minerals because iron balance in the human body is regulated by absorption only because there is no physiologic mechanism for excretion. On the basis of intake data and isotope studies, iron bioavailability has been estimated to be in the range of 14-18% for mixed diets and 5-12% for vegetarian diets in subjects with no iron stores, and these values have been used to generate dietary reference values for all population groups. Dietary factors that influence iron absorption, such as phytate, polyphenols, calcium, ascorbic acid, and muscle tissue, have been shown repeatedly to influence iron absorption in single-meal isotope studies, whereas in multimeal studies with a varied diet and multiple inhibitors and enhancers, the effect of single components has been, as expected, more modest. The importance of fortification iron and food additives such as erythorbic acid on iron bioavailability from a mixed diet needs clarification. The influence of vitamin A, carotenoids, and nondigestible carbohydrates on iron absorption and the nature of the "meat factor" remain unresolved. The iron status of the individual and other host factors, such as obesity, play a key role in iron bioavailability, and iron status generally has a greater effect than diet composition. It would therefore be timely to develop a range of iron bioavailability factors based not only on diet composition but also on subject characteristics, such as iron status and prevalence of obesity.
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              Comparison of self-reported dietary intakes from the Automated Self-Administered 24-h recall, 4-d food records, and food-frequency questionnaires against recovery biomarkers

              Background A limited number of studies have evaluated self-reported dietary intakes against objective recovery biomarkers. Objective The aim was to compare dietary intakes of multiple Automated Self-Administered 24-h recalls (ASA24s), 4-d food records (4DFRs), and food-frequency questionnaires (FFQs) against recovery biomarkers and to estimate the prevalence of under- and overreporting. Design Over 12 mo, 530 men and 545 women, aged 50–74 y, were asked to complete 6 ASA24s (2011 version), 2 unweighed 4DFRs, 2 FFQs, two 24-h urine collections (biomarkers for protein, potassium, and sodium intakes), and 1 administration of doubly labeled water (biomarker for energy intake). Absolute and density-based energy-adjusted nutrient intakes were calculated. The prevalence of under- and overreporting of self-report against biomarkers was estimated. Results Ninety-two percent of men and 87% of women completed ≥3 ASA24s (mean ASA24s completed: 5.4 and 5.1 for men and women, respectively). Absolute intakes of energy, protein, potassium, and sodium assessed by all self-reported instruments were systematically lower than those from recovery biomarkers, with underreporting greater for energy than for other nutrients. On average, compared with the energy biomarker, intake was underestimated by 15–17% on ASA24s, 18–21% on 4DFRs, and 29–34% on FFQs. Underreporting was more prevalent on FFQs than on ASA24s and 4DFRs and among obese individuals. Mean protein and sodium densities on ASA24s, 4DFRs, and FFQs were similar to biomarker values, but potassium density on FFQs was 26–40% higher, leading to a substantial increase in the prevalence of overreporting compared with absolute potassium intake. Conclusions Although misreporting is present in all self-report dietary assessment tools, multiple ASA24s and a 4DFR provided the best estimates of absolute dietary intakes for these few nutrients and outperformed FFQs. Energy adjustment improved estimates from FFQs for protein and sodium but not for potassium. The ASA24, which now can be used to collect both recalls and records, is a feasible means to collect dietary data for nutrition research.
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                Author and article information

                Journal
                Public Health Nutr
                Public Health Nutr
                PHN
                Public Health Nutrition
                Cambridge University Press (Cambridge, UK )
                1368-9800
                1475-2727
                June 2021
                12 April 2021
                : 24
                : 9
                : 2455-2464
                Affiliations
                [ 1 ]School of Environment, University of Leeds , LS2 9JT, UK
                [ 2 ]School of Food Science and Nutrition, University of Leeds , UK
                [ 3 ]Department of Food and Nutrition, Faculty of Human Sciences and Design, King Abdulaziz University , Jeddah, Saudi Arabia
                [ 4 ]Indigenous Health Adaptation to Climate Change Research Team , Kanungu District, Uganda
                [ 5 ]Leeds Institute of Health Sciences, University of Leeds , UK
                [ 6 ] Dietary Assessment Ltd , UK
                [ 7 ]Facultad de Salud Publica y Administracion, Universidad Peruana Cayetano Heredia , Peru
                [ 8 ] Ministry of Health , Uganda
                [ 9 ]Department of Geography, Makerere University , Kampala, Uganda
                [ 10 ] The Global Center on Adaptation , Rotterdam, Netherlands
                [ 11 ] WHO European Office for Prevention and Control of Non-communicable Diseases (NCD Office) , Moscow, Russian Federation
                Author notes
                [* ] Corresponding author: Email eegs@ 123456leeds.ac.uk
                [†]

                IHAAC Research Team: James Ford, Sherilee Harper, Mark New, Cesar Cavagnaro and Patricia J. Garcia

                Author information
                https://orcid.org/0000-0002-4810-4293
                Article
                S1368980021001397
                10.1017/S1368980021001397
                8145457
                33843552
                39dac2af-274d-427f-ac9d-aa8b97025a3e
                © The Authors 2021

                This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 23 December 2020
                : 10 March 2021
                : 22 March 2021
                Page count
                Figures: 2, Tables: 4, References: 50, Pages: 10
                Categories
                Research Paper
                Assessment and Methodology

                Public health
                food composition databases,indigenous population,south-western uganda,nutritional assessment,online food database

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