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      Ultra-processed foods in a rural Ecuadorian community: associations with child anthropometry and bone maturation

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          Abstract

          Frequent ultra-processed food (UPF) consumption is consistently associated with poor health outcomes. Little is known about UPF intake during early childhood and its effects on growth. We assessed UPF in relation to child anthropometry, bone maturation, and their nutrition profiles in a rural Ecuadorian community. Covariate-adjusted regression models estimated relationships between UPF intake from a 24-hour Food Frequency Questionnaire and three outcomes: linear growth, weight status and bone maturation. Nutrient Profiling Models (NPM) evaluated a convenience sample of UPF ( n 28) consumed by children in the community. In this cohort ( n 125; mean age = 33·92 ( sd 1·75) months), 92·8 % consumed some form of UPF the previous day. On average, children consuming UPF four to twelve times per day (highest tertile) had lower height-for-age z-scores than those with none or a single instance of UPF intake (lowest tertile) ( β = –0·43 [ se 0·18]; P = 0·02). Adjusted stunting odds were significantly higher in the highest tertile relative to the lowest tertile (OR: 3·07, 95 % CI 1·11, 9·09). Children in the highest tertile had significantly higher bone age z-scores (BAZ) on average compared with the lowest tertile ( β = 0·58 [ se 0·25]; P = 0·03). Intake of savoury UPF was negatively associated with weight-for-height z-scores ( β = –0·30 [ se 0·14]; P = 0·04) but positively associated with BAZ ( β = 0·77 [ se 0·23]; P < 0·001). NPM indicated the availability of unhealthy UPF to children, with excessive amounts of saturated fats, free sugars and sodium. Findings suggest that frequent UPF intake during early childhood may be linked to stunted growth (after controlling for bone age and additional covariates), despite paradoxical associations with bone maturation.

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          The Research Electronic Data Capture (REDCap) data management platform was developed in 2004 to address an institutional need at Vanderbilt University, then shared with a limited number of adopting sites beginning in 2006. Given bi-directional benefit in early sharing experiments, we created a broader consortium sharing and support model for any academic, non-profit, or government partner wishing to adopt the software. Our sharing framework and consortium-based support model have evolved over time along with the size of the consortium (currently more than 3200 REDCap partners across 128 countries). While the "REDCap Consortium" model represents only one example of how to build and disseminate a software platform, lessons learned from our approach may assist other research institutions seeking to build and disseminate innovative technologies.
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              Ultra-processed foods: what they are and how to identify them

              The present commentary contains a clear and simple guide designed to identify ultra-processed foods. It responds to the growing interest in ultra-processed foods among policy makers, academic researchers, health professionals, journalists and consumers concerned to devise policies, investigate dietary patterns, advise people, prepare media coverage, and when buying food and checking labels in shops or at home. Ultra-processed foods are defined within the NOVA classification system, which groups foods according to the extent and purpose of industrial processing. Processes enabling the manufacture of ultra-processed foods include the fractioning of whole foods into substances, chemical modifications of these substances, assembly of unmodified and modified food substances, frequent use of cosmetic additives and sophisticated packaging. Processes and ingredients used to manufacture ultra-processed foods are designed to create highly profitable (low-cost ingredients, long shelf-life, emphatic branding), convenient (ready-to-consume), hyper-palatable products liable to displace all other NOVA food groups, notably unprocessed or minimally processed foods. A practical way to identify an ultra-processed product is to check to see if its list of ingredients contains at least one item characteristic of the NOVA ultra-processed food group, which is to say, either food substances never or rarely used in kitchens (such as high-fructose corn syrup, hydrogenated or interesterified oils, and hydrolysed proteins), or classes of additives designed to make the final product palatable or more appealing (such as flavours, flavour enhancers, colours, emulsifiers, emulsifying salts, sweeteners, thickeners, and anti-foaming, bulking, carbonating, foaming, gelling and glazing agents).
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                Author and article information

                Journal
                Br J Nutr
                Br J Nutr
                BJN
                The British Journal of Nutrition
                Cambridge University Press (Cambridge, UK )
                0007-1145
                1475-2662
                14 November 2023
                13 March 2023
                : 130
                : 9
                : 1609-1624
                Affiliations
                [ 1 ]Brown School, Institute of Public Health, Washington University in St. Louis , St. Louis, MO, USA
                [ 2 ]Department of Radiology, School of Medicine, Case Western Reserve University , Cleveland, OH, USA
                [ 3 ]Institute for Research in Health and Nutrition, Universidad San Francisco de Quito , Quito, Ecuador
                [ 4 ]Gund Institute for Environment, University of Vermont , Burlington, VT, USA
                [ 5 ]Rollins School of Public Health, Emory University , Atlanta, GA, USA
                [ 6 ]Department of Pediatrics, Boston Medical Center , Boston, MA, USA
                Author notes
                [* ] Corresponding author: Emmanuel A. Gyimah, email egyimah@ 123456wustl.edu
                Author information
                https://orcid.org/0000-0002-6072-2967
                Article
                S0007114523000624
                10.1017/S0007114523000624
                10551472
                36912073
                7353785f-140e-4b4e-a66d-b1b4a313ce0d
                © The Author(s) 2023

                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, provided the original article is properly cited.

                History
                : 10 June 2022
                : 15 February 2023
                : 06 March 2023
                Page count
                Figures: 4, Tables: 6, References: 95, Pages: 16
                Categories
                Research Article
                Dietary Surveys and Nutritional Epidemiology

                Nutrition & Dietetics
                ultra-processed foods,stunting,bone age,weight status,children,nova classification,ecuador

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