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      Diet quality indices for research in low- and middle-income countries: a systematic review

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          Abstract

          Context

          Dietary intake research has increasingly focused on improving diet quality in low- and middle-income countries (LMICs). Accompanying this is the need for sound metrics to assess diet quality.

          Objective

          This systematic literature review aims to describe existing diet quality indices for general populations and highlights recommendations for developing such indices for food system research in LMICs.

          Data sources

          Three electronic databases were searched for papers published between January 2008 and December 2017.

          Data extraction

          Articles published in English and describing the development of an index to measure overall diet quality, irrespective of whether they were for high-income countries or LMICs, were included.

          Data analysis

          Eighty-one indices were identified, over two thirds were based on national dietary guidelines from high-income countries. Of the 3 key diet quality dimensions, “diversity” was included in all 18 indices developed for LMICs, “moderation” was captured by most, and “nutrient adequacy” was included 4 times.

          Conclusions

          Indices need to be developed that include all dimensions, include foods and/or food groups rather than nutrients, use an optimal range for individual components in the score, and express the intake of healthy and unhealthy components separately. Importantly, validation of the index should be part of its development.

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          Most cited references95

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          Maternal and child undernutrition and overweight in low-income and middle-income countries

          The Lancet, 382(9890), 427-451
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            Operationalizing dietary diversity: a review of measurement issues and research priorities.

            Dietary diversity (DD) is universally recognized as a key component of healthy diets. There is still, however, a lack of consensus on how to measure and operationalize DD. This article reviews published literature on DD, with a focus on the conceptual and operational issues related to its measurement in developing countries. Findings from studies of the association between DD and individual nutrient adequacy, child growth and/or household socioeconomic factors are summarized. DD is usually measured using a simple count of foods or food groups over a given reference period, but a number of different groupings, classification systems and reference periods have been used. This limits comparability and generalizability of findings. The few studies that have validated DD against nutrient adequacy in developing countries confirm the well-documented positive association observed in developed countries. A consistent positive association between dietary diversity and child growth is also found in a number of countries. Evidence from a multicountry analysis suggests that household-level DD diversity is strongly associated with household per capita income and energy availability, suggesting that DD could be a useful indicator of food security. The nutritional contribution of animal foods to nutrient adequacy is indisputable, but the independent role of animal foods relative to overall dietary quality for child growth and nutrition remains poorly understood. DD is clearly a promising measurement tool, but additional research is required to improve and harmonize measurement approaches and indicators. Validation studies are also needed to test the usefulness of DD indicators for various purposes and in different contexts.
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              Development and validation of the nutrient-rich foods index: a tool to measure nutritional quality of foods.

              Ranking and/or classifying foods based on their nutrient composition is known as nutrient profiling. Nutrition quality indices need to be tested and validated against quality of the total diet. A family of nutrient-rich foods (NRF) indices were validated against the Healthy Eating Index (HEI), an accepted measure of diet quality. All foods consumed by participants in NHANES 1999-2002 studies were scored using NRFn.3 (where n = 6-15) indices based on unweighted sums, means, and ratios of percent daily values (DV) for nutrients to encourage (n) and for nutrients to limit (LIM) (3). Individual food scores were calculated based on 100 kcal (418 kJ) and FDA serving sizes [reference amounts customarily consumed (RACC)]. Energy-weighted food-based scores per person were then regressed against HEI, adjusting for gender, age, and ethnicity. The measure of index performance was the percentage of variation in HEI (R2) explained by each NRF score. NRF indices based on both nutrients to encourage and LIM performed better than indices based on LIM only. Maximum variance in HEI was explained using 6 or 9 nutrients to encourage; index performance actually declined with the inclusion of additional vitamins and minerals. NRF indices based on 100 kcal (418 kJ) performed similarly to indices based on RACC. Algorithms based on sums or means of nutrient DV performed better than ratio-based scores. The NRF9.3 index, based on 9 nutrients to encourage and 3 LIM per RACC and per 100 kcal, explained the highest percentage of variation from HEI and could be readily expected to rank foods based on nutrient density.
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                Author and article information

                Journal
                Nutr Rev
                Nutr. Rev
                nutritionreviews
                Nutrition Reviews
                Oxford University Press
                0029-6643
                1753-4887
                August 2019
                25 May 2019
                25 May 2019
                : 77
                : 8
                : 515-540
                Affiliations
                [1 ]Division of Human Nutrition, Wageningen University, Wageningen, the Netherlands
                [2 ]Bioversity International, Rome, Italy
                Author notes
                Division of Human Nutrition, Wageningen University, PO Box 17, 6700 AA Wageningen, the Netherlands. E-mail: laura.trijsburg@ 123456wur.nl .
                Article
                nuz017
                10.1093/nutrit/nuz017
                6609420
                31127835
                59ff95ff-9954-4a29-a964-0a308cf39feb
                © The Author(s) 2019. Published by Oxford University Press on behalf of the International Life Sciences Institute.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence ( http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contactjournals.permissions@oup.com

                History
                Page count
                Pages: 26
                Funding
                Funded by: International Food Policy Research Institute
                Categories
                Lead Article

                Nutrition & Dietetics
                diet index,diet quality,dietary assessment,food systems research,low- and middle-income countries

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