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      Analyzing the Drivers of Household Dietary Diversity: Evidence from Burkina Faso

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          Abstract

          Background:

          The diets of millions of poor individuals lack adequate amount of essential nutrients.

          Objective:

          To examine the determinants of household dietary diversity in Burkina Faso and assess whether the choice of a diversity metric matters.

          Methods:

          Using survey data from 2014, we construct 3 metrics—Household Dietary Diversity Score (HDDS), Berry Index (BI), and Healthy Food Diversity Index (HFDI). Unlike the oft-used HDDS, the BI captures the quantity distribution of food items while the HFDI captures all 3 aspects of a healthy diet—count, quantity distribution, and health value. We fit linear (for BI and HFDI) and Poisson (for HDDS) models controlling for several socioeconomic and climatic covariates.

          Results:

          Some parameter estimates are sensitive to the diversity metric with fewer significant covariates observed in the HFDI model. Overall, diets are more diverse for households in urban areas, with female or better educated heads, with higher asset-based wealth and with more diverse on-farm production, while remoteness reduces dietary diversity. Higher precipitation seems to reduce diversity, potentially driven by the spatial heterogeneity in precipitation and on-farm production diversity.

          Conclusions:

          The sensitivity of estimates to the metric used underscores potentially more complex interactions that determine the quantity distribution of food items consumed. Policies that enhance on-farm production diversity, market access, and women’s empowerment may help improve dietary diversity and subsequent nutritional benefits. Efforts should be made to compile health value data that are relevant to developing countries facing nutrition transition.

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          Most cited references53

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          Food variety and dietary diversity scores in children: are they good indicators of dietary adequacy?

          To assess whether a food variety score (FVS) and/or a dietary diversity score (DDS) are good indicators of nutrient adequacy of the diet of South African children. Secondary data analyses were undertaken with nationally representative data of 1-8-year-old children (n = 2200) studied in the National Food Consumption Study in 1999. An average FVS (mean number of different food items consumed from all possible items eaten) and DDS (mean number of food groups out of nine possible groups) were calculated. A nutrient adequacy ratio (NAR) is the ratio of a subject's nutrient intake to the estimated average requirement calculated using the Food and Agriculture Organization/World Health Organization (2002) recommended nutrient intakes for children. The mean adequacy ratio (MAR) was calculated as the sum of NARs for all evaluated nutrients divided by the number of nutrients evaluated, expressed as a percentage. MAR was used as a composite indicator for micronutrient adequacy. Pearson correlation coefficients between FVS, DDS and MAR were calculated and also evaluated for sensitivity and specificity, with MAR taken as the ideal standard of adequate intake. The relationships between MAR and DDS and between anthropometric Z-scores and DDS were also evaluated. The children had a mean FVS of 5.5 (standard deviation (SD) 2.5) and a mean DDS of 3.6 (SD 1.4). The mean MAR (ideal = 100%) was 50%, and was lowest (45%) in the 7-8-year-old group. The items with the highest frequency of consumption were from the cereal, roots and tuber group (99.6%), followed by the 'other group' (87.6%) comprising items such as tea, sugar, jam and sweets. The dairy group was consumed by 55.8%, meat group by 54.1%, fats by 38.9%, other vegetables by 30.8%, vitamin-A-rich by 23.8%, other fruit by 22%, legumes and nuts by 19.7% and eggs by 13.3%. There was a high correlation between MAR and both FVS (r = 0.726; P < 0.0001) and DDS (r = 0.657; P < 0.0001), indicating that either FVS or DDS can be used as an indicator of the micronutrient adequacy of the diet. Furthermore, MAR, DDS and FVS showed significant correlations with height-for-age and weight-for-age Z-scores, indicating a strong relationship between dietary diversity and indicators of child growth. A DDS of 4 and an FVS of 6 were shown to be the best indicators of MAR less than 50%, since they provided the best sensitivity and specificity. Either FVS or DDS can be used as a simple and quick indicator of the micronutrient adequacy of the diet.
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            Dietary quality among men and women in 187 countries in 1990 and 2010: a systematic assessment

            Summary Background Healthy dietary patterns are a global priority to reduce non-communicable diseases. Yet neither worldwide patterns of diets nor their trends with time are well established. We aimed to characterise global changes (or trends) in dietary patterns nationally and regionally and to assess heterogeneity by age, sex, national income, and type of dietary pattern. Methods In this systematic assessment, we evaluated global consumption of key dietary items (foods and nutrients) by region, nation, age, and sex in 1990 and 2010. Consumption data were evaluated from 325 surveys (71·7% nationally representative) covering 88·7% of the global adult population. Two types of dietary pattern were assessed: one reflecting greater consumption of ten healthy dietary items and the other based on lesser consumption of seven unhealthy dietary items. The mean intakes of each dietary factor were divided into quintiles, and each quintile was assigned an ordinal score, with higher scores being equivalent to healthier diets (range 0–100). The dietary patterns were assessed by hierarchical linear regression including country, age, sex, national income, and time as exploratory variables. Findings From 1990 to 2010, diets based on healthy items improved globally (by 2·2 points, 95% uncertainty interval (UI) 0·9 to 3·5), whereas diets based on unhealthy items worsened (−2·5, −3·3 to −1·7). In 2010, the global mean scores were 44·0 (SD 10·5) for the healthy pattern and 52·1 (18·6) for the unhealthy pattern, with weak intercorrelation (r=–0·08) between countries. On average, better diets were seen in older adults compared with younger adults, and in women compared with men (p<0·0001 each). Compared with low-income nations, high-income nations had better diets based on healthy items (+2·5 points, 95% UI 0·3 to 4·1), but substantially poorer diets based on unhealthy items (−33·0, −37·8 to −28·3). Diets and their trends were very heterogeneous across the world regions. For example, both types of dietary patterns improved in high-income countries, but worsened in some low-income countries in Africa and Asia. Middle-income countries showed the largest improvement in dietary patterns based on healthy items, but the largest deterioration in dietary patterns based on unhealthy items. Interpretation Consumption of healthy items improved, while consumption of unhealthy items worsened across the world, with heterogeneity across regions and countries. These global data provide the best estimates to date of nutrition transitions across the world and inform policies and priorities for reducing the health and economic burdens of poor diet quality. Funding The Bill & Melinda Gates Foundation and Medical Research Council.
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              Dietary diversity is associated with child nutritional status: evidence from 11 demographic and health surveys.

              Simple indicators reflecting diet quality for young children are needed both for programs and in some research contexts. Measures of dietary diversity are relatively simple and were shown to be associated with nutrient adequacy and nutritional status. However, dietary diversity also tends to increase with income and wealth; thus, the association between dietary diversity and child nutrition may be confounded by socioeconomic factors. We used data from 11 recent Demographic and Health Surveys (DHS) to examine the association between dietary diversity and height-for-age Z-scores (HAZ) for children 6-23 mo old, while controlling for household wealth/welfare and several other potentially confounding factors. Bivariate associations between dietary diversity and HAZ were observed in 9 of the 11 countries. Dietary diversity remained significant as a main effect in 7 countries in multivariate models, and interacted significantly with other factors (e.g., child age, breast-feeding status, urban/rural location) in 3 of the 4 remaining countries. Thus, dietary diversity was significantly associated with HAZ, either as a main effect or in an interaction, in all but one of the countries analyzed. These findings suggest that there is an association between child dietary diversity and nutritional status that is independent of socioeconomic factors, and that dietary diversity may indeed reflect diet quality. Before dietary diversity can be recommended for widespread use as an indicator of diet quality, additional research is required to confirm and clarify relations between various dietary diversity indicators and nutrient intake, adequacy, and density, for children with differing dietary patterns.
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                Author and article information

                Journal
                Food Nutr Bull
                Food Nutr Bull
                FNB
                spfnb
                Food and Nutrition Bulletin
                SAGE Publications (Sage CA: Los Angeles, CA )
                0379-5721
                1564-8265
                1 September 2021
                December 2021
                : 42
                : 4
                : 530-550
                Affiliations
                [1 ]Ringgold 8357, International Food Policy Research Institute; , Washington, DC, USA
                [2 ]Ringgold 1810, universityTufts University; , Medford, MA, USA
                Author notes
                [*]Arkadeep Bandyopadhyay, International Food Policy Research Institute, 1201 I Street NW, Washington, DC 20005, USA. Email: arkadeep.b@ 123456gmail.com
                Author information
                https://orcid.org/0000-0001-7533-6658
                Article
                10.1177_03795721211029092
                10.1177/03795721211029092
                8637355
                34467801
                e614cfcd-21e5-4349-bb0a-2494656e39e4
                © The Author(s) 2021

                This article is distributed under the terms of the Creative Commons Attribution 4.0 License ( https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                Funding
                Funded by: Bill and Melinda Gates Foundation, FundRef https://doi.org/10.13039/100000865;
                Categories
                Original Research
                Custom metadata
                ts3

                dietary diversity,production diversity,measurement,burkina faso

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