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      Performance of individual dietary diversity score to identify malnutrition among patients living with HIV in Ethiopia

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          Abstract

          There is a lack of uniformity in developing and validating indicators of nutritional status among People Living with Human Immunodeficiency Virus (PLHIV). Experiences from low and middle-income countries are scant, and differences in methodological and analytical approaches affect the comparability and generalizability of findings. Therefore, this study investigated the performance of individual diversity score (IDDS) as a proxy indicator of nutritional status among PLHIV. We conducted a facility-based cross-sectional study among 423 PLHIV who were under Antiretroviral Treatment (ART) at clinics in Bahir-Dar, Ethiopia. We collected data on sociodemographic, dietary, clinical, and anthropometric measures. Dietary intake was assessed using 24-Hour dietary recall. Body Mass Index (BMI) was calculated to assess the nutritional status of study subjects. The receiver operating characteristic (ROC) curve analysis was used to assess the ability of the IDDS and Minimum Dietary Diversity for Women (MDD-W) to detect poor nutritional status. Furthermore, sensitivity, specificity, Predictive Values (PPs), and Likelihood Ratios (LRs) were calculated at different cut-off points. IDDS showed good reliability with Cronbach’s Alpha of 0.76. The Area Under the Curve (AUC) of IDDS was 78.5 (95%CI 73.9–83.4). At the IDDS cut-off of 4, the sensitivity and specificity of IDDS to indicate nutritional status were 88.0% (95%CI 81.0–93.0) and 71.0% (95%CI 66.0–76.0), respectively. The AUC of MDD-W was 74.1%, and at the cut-off of 4 the sensitivity and specificity of MDD-W to indicate undernutrition were 73.0% and 72.0%, respectively. Both IDDS and MDD-W have good accuracy as a proxy indicator for measuring the nutritional status of PLHIV. In the prevention of undernutrition among PLHIV especially in a resource-limited setting, IDDS and MDD-W can be used to assess nutritional status.

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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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            Use of variety/diversity scores for diet quality measurement: relation with nutritional status of women in a rural area in Burkina Faso.

            To develop scores for food variety and diversity to assess the overall dietary quality in an African rural area; and to study their relationship with the nutritional status of women of childbearing age. Cross-sectional. Sahelian rural area in the North-East Burkina Faso (West Africa). A total of 691 mothers with children below the age of 5 y, selected at random in 30 villages. A qualitative recall of women's food consumption during the previous 24 h made it possible to calculate a food variety score (FVS = count of food items consumed) and a dietary diversity score (DDS = count of food groups, among 14 groups). These scores were then divided into terciles. Body mass index (BMI), mid-upper arm circumference (MUAC) and body fat percentage (BFP) were used to determine the women's nutritional status. The overall dietary quality was poor: mean FVS (s.d.) = 8.3 (2.9) food items; mean DDS = 5.1 (1.7) food groups. A clear relationship was shown between both FVS and DDS (in terciles) and most nutritional indices. Women with a FVS in the lowest tercile had a mean BMI of 20.1, while those in the highest tercile had a BMI of 20.9 (P = 0.009). Those in the lowest tercile of DDS had a 22.8% prevalence of underweight vs 9.8% in the highest tercile (P < 0.0001). The latter relationship remained significant even when the subjects' sociodemographic and economic characteristics were accounted for. Dietary scores measured at the individual level are good proxies for overall dietary quality of women living in a poor rural African area. These scores were also shown to be linked with the nutritional status of women. IRD financed the study with the assistance of UNICEF for the purchase of anthropometric equipment. The first author received a research allowance from the French Ministry of Research through the doctoral school 393 of Pierre and Marie Curie University (Paris VI).
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              Development of a Dichotomous Indicator for Population-Level Assessment of Dietary Diversity in Women of Reproductive Age

              Abstract Background: Dietary diversity is a key element of diet quality, but diets of women of reproductive age (WRA; aged 15–49 y) in resource-poor settings are often deficient in a range of micronutrients. Previous work showed associations between simple food-group diversity indicators (FGIs) and micronutrient adequacy among WRA. For operational and advocacy purposes, however, there is strong demand for a dichotomous indicator reflecting an acceptable level of dietary diversity. Objective: The aim of the study was to develop a dichotomous indicator of dietary diversity in WRA. Methods: We performed a secondary analysis of 9 data sets containing quantitative dietary data from WRA in resource-poor settings (total n = 4166). From the raw dietary data, we calculated an individual “mean probability of adequacy” (MPA) across 11 micronutrients. Several candidate FGIs were constructed. Indicator performance in predicting an MPA >0.60 was assessed within each data set by using receiver-operating characteristic analysis and sensitivity and specificity analysis at various FGI cutoffs. The analysis was performed separately for nonpregnant and nonlactating (NPNL) women and for lactating women. Results: We identified 2 “best candidate” dichotomous indicators on the basis of 9- or 10-point food-group scores (FGI-9 and FGI-10) with a cutoff of ≥5 food groups. Both were significantly correlated to MPA in each site (P < 0.001). Areas under the curve were moderate, ranging from 0.62 to 0.82 among NPNL women and from 0.56 to 0.90 among lactating women. Comparisons of results slightly favored FGI-10 for all women. Conclusions: When resource-intensive dietary methods are not feasible, a simple dichotomous indicator based on a cutoff of ≥5 of 10 defined food groups reflects “minimum dietary diversity for women of reproductive age.” According to the conclusions of a consensus meeting of experts, this indicator is well suited for population-level assessment, advocacy, and possibly also for tracking of change in dietary diversity across time.
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                Author and article information

                Contributors
                foziyamohammed2018@gmail.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                21 September 2021
                21 September 2021
                2021
                : 11
                : 18681
                Affiliations
                [1 ]GRID grid.467130.7, ISNI 0000 0004 0515 5212, Department of Public Health, College of Medicine and Health Science, , Wollo University, ; Dessie, Ethiopia
                [2 ]GRID grid.467130.7, ISNI 0000 0004 0515 5212, Department of Internal Medicine, School of Medicine, College of Medicine and Health Science, , Wollo University, ; Dessie, Ethiopia
                [3 ]GRID grid.449142.e, ISNI 0000 0004 0403 6115, Department of Public Health, College of Medicine and Health Science, , Mizan-Tepi University, ; Mizan-Tepi, Ethiopia
                [4 ]GRID grid.411903.e, ISNI 0000 0001 2034 9160, Department of Public Health Nutrition, School of Public Health, College of Medicine and Health Sciences, , Jimma University, ; Jimma, Ethiopia
                Article
                98202
                10.1038/s41598-021-98202-6
                8455526
                34548547
                3c8f36a2-6819-47ab-b58b-e6988d0f2bcb
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 29 January 2021
                : 27 August 2021
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                © The Author(s) 2021

                Uncategorized
                diseases,health care,medical research,risk factors
                Uncategorized
                diseases, health care, medical research, risk factors

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