The Global Diet Quality Score is Associated with Higher Nutrient Adequacy, Midupper Arm Circumference, Venous Hemoglobin, and Serum Folate Among Urban and Rural Ethiopian Adults

Narrative Review of the Validity and Cross-Context Equivalence of Healthy Diet Metrics and Their Data Collection Methods for Global Monitoring

Background

Valid, sensitive healthy diet metrics that are comparable across contexts are needed for global monitoring. The healthy diets monitoring initiative identified 4 field metrics as potentially fit for purpose: global diet quality score (GDQS), global dietary recommendations score, minimum dietary diversity for women (MDD-W), and Nova ultra-processed food score.

Objectives

To review whether these 4 healthy diet metrics 1) accurately predict food and nutrient intakes; 2) accurately differentiate the average or prevalence of food and nutrient intakes; 3) respond to changes over time; 4) are comparable across contexts; and 5) can be collected using their proposed brief assessment methods while preserving predictive accuracy.

Methods

Peer-reviewed literature was searched and extracted from PubMed, Web of Science, and Google Scholar, including preprints and grey literature from the latter. Evidence on the accuracy of the field metrics and methods was qualitatively assessed against the aforementioned objectives, considering the underlying theory of change and study design, as well as the direction and magnitudes of the observed associations or effects.

Results

Increments in GDQS+ and MDD-W predicted higher composite metrics of nutrient adequacy. MDD-W was sensitive to changes in nutrient intakes over time. MDD-W cutoffs showed limited variability across contexts and population groups. Higher GDQS and global dietary recommendation scores and lower Nova ultra-processed food scores were associated with lower intakes of food and nutrients to moderate. The predictive accuracy of field methods for nutrient adequacy was maintained for GDQS and MDD-W. No study explicitly investigated how field metrics differentiate averages or prevalence of reference metrics across countries.

Conclusions

MDD-W demonstrated comparatively stronger predictive accuracy for nutrient adequacy, with a lower burden method, than GDQS+. Further research is required to determine the predictive accuracy of field-friendly metrics measuring moderation across contexts and time. Complementary metrics that can be collected simultaneously on a large scale are needed for global monitoring.

The feasibility of using the application developed to operationalize the Global Diet Quality Score in Ethiopia

BACKGROUND

The Global Diet Quality Score (GDQS) application is an electronic data collection tool developed to provide a standard, easy-to-use method for collecting low-cost, time-relevant data on diet quality.

OBJECTIVE

To assess the feasibility and ease-of-use of the GDQS application and associated set of 3D cubes used as visual aids to assist the respondent with estimating amounts consumed at the food group level.

METHODS

The study was conducted in August 2021 in two regions of Ethiopia with varied dietary practices. Face-to-face interviews were conducted in Amharic and Somali by 10 enumerators among 120 women to collect dietary data using the GDQS application. Feedback on each completed interview was collected from both the respondent and enumerator. Enumerators also participated in focus group discussions.

RESULTS

Enumerators rated the GDQS application as easy to use after 85.8% of the interviews completed. They identified the automatic provision of food-specific probes to guide the interview, the automatic classification of reported foods, beverages, and ingredients into the corresponding GDQS food groups, and the ability to work offline as the main advantages of the application. Most respondents (78.3%) did not find it difficult to choose the cube that corresponded to the amount of each food group they reported consuming. Respondents' feedback on the open recall of all foods, beverages and mixed dishes consumed the previous day and the use of 3D cubes was mostly positive.

CONCLUSION

The results suggest that the GDQS application and cubes were easy to use and feasible for collecting data on diet quality in a low-income country setting.

A higher global diet quality score is associated with lower risk of obesity among male university students in Lebanon: a pilot study

Objective

This pilot study aims to assess the diet quality amongst Lebanese male university students using the Global Diet Quality Score (GDQS), identify its association with obesity, and determine the key drivers of consumption of foods associated with higher NCDs risk.

Methods

A cross-sectional survey was conducted using a convenience sampling approach, comprising 385 male students aged between 18 and 24 years at the American University of Beirut. Dietary data was collected using 24-h recall, where participants detailed all foods and beverages consumed in the past 24 h, including portion sizes. Sociodemographic, anthropometric, lifestyle factors and drivers of food consumption data were also collected. GDQS scores were categorized as high (≥23), moderate (15-23), or low (< 15) indicating low, moderate and high NCD risk, respectively. A multiple logistic regression was applied to assess association of GDQS with sociodemographic and anthropometric variables.

Results

The results showed that the majority of male university students had low (47%) or moderate (47%) GDQS scores, with only a small proportion (4%) showing high scores. Foods contributing to low GDQS scores were determined, with taste emerging as the primary factor influencing food group consumption. Additionally, individuals in health-related majors and higher academic year of study had higher GDQS scores, and those with higher GDQS scores had a lower risk of obesity. The study findings suggest that a high proportion of the study sample are at a higher risk of NCDs given their dietary quality, demonstrated an association between low GDQS scores and obesity risk, and identified education as a predictor of diet quality.

Conclusion

This study calls for larger studies assessing dietary habits and quality amongst Lebanese university students to provide context-specific evidence for the development of targeted interventions aimed at the promotion of healthier eating habits in this population group and curbing the NCDs epidemic in the country.

Cross-context equivalence and agreement of healthy diet metrics for national and global monitoring: a multicountry analysis of cross-sectional quantitative 24-hour dietary intake studies

BACKGROUND

Despite national and global commitments to improve nutrition, there are no universally accepted indicators for at-scale monitoring of diets. Several metrics have been proposed and used, but they vary in their comprehensiveness and validity in capturing the properties of healthy diets and, potentially, their interpretability across contexts.

OBJECTIVE

The objective of this study was to assess the cross-context equivalence and agreement of healthy diet metrics.

DESIGN

Quantitative 24-h dietary intake data from 57,456 nonpregnant females (15-49 y) in 21 countries were used to construct the food group diversity score (FGDS) and Minimum Dietary Diversity for Women indicator; the Global Diet Quality Score (GDQS) and its submetrics: GDQS+ and GDQS-; the Global Dietary Recommendations (GDR) score and its submetrics: noncommunicable disease (NCD)-Protect and NCD-Risk scores; and the All-5 indicator. Associations between (standardized) measures and indicators were quantified by fitting linear and logistic mixed-effect models across World Bank country income classifications, respectively. The levels of agreement between measures were assessed using Bland-Altman plots of z-scores, whereas rank correlations were assessed using Spearman's ρ.

RESULTS

The consumption of healthy food groups was positively associated with concurrent intakes of unhealthy food groups, in particular in high-income countries. Hence, metrics constructed using both healthy and unhealthy food groups (i.e., GDR score and GDQS) showed relatively less discriminatory capacity across country income classifications than their respective submetrics or FGDS. Standardized metrics of healthy (e.g., FGDS and GDQS+) and unhealthy food group consumption (i.e., NCD-Risk and GDQS-) exhibited strong agreement and correlations.

CONCLUSION

Composite metrics weighting both healthy and unhealthy food groups have limited cross-context equivalence, because a wide range of diets can theoretically return similar scores. Healthy food group (sub)metrics performed comparably, likely indicating strong underlying construct validity (i.e., dietary diversity and nutrient adequacy). For national and global monitoring, refinement and validation of unhealthy food group metrics (i.e., moderation) is recommended to complement healthy food group metrics.

Protective effects of diversified diets for dietary folate adequacy and serum homocysteine in breastfeeding mothers amid historic drought

OBJECTIVES

The United Nations recommends that women consume ≥5 food groups, also known as the minimum dietary diversity score for women (MDD-W), for nutritional health. This is increasingly unattainable for populations in climate hot zones coping with food insecurity by prioritizing calories over dietary breadth. Breastfeeding mothers may be particularly vulnerable to adverse health impacts of low dietary diversity due to elevated nutritional requirements for lactation. We investigated how the protective effects of MDD-W for folate adequacy varies by MDD-W score and mother-infant life history characteristics.

METHODS

We conducted a secondary analysis of cross-sectional data from breastfeeding mothers (n = 228) in northern Kenya, surveyed during the 2006 Horn-of-Africa drought. Logistic regression models for adequate dietary folate (and vitamins B12 and B6) and normal homocysteine (folate-replete status) evaluated the effect of MDD-W alone and in interaction with infant/maternal characteristics.

RESULTS

MDD-W (as ordinal or dichotomous variable) was positively associated with adequate folate (and vitamin B12). Having male infant was inversely associated with adequate dietary folate. MDD-W was generally unassociated with homocysteine. However, there was an interaction between MDD-W and sex of the infant. Namely, MDD-W ≥ 3 predicted increased probability of normal homocysteine among mothers with female infants but not male infants.

CONCLUSIONS

Diets consisting of three or more food groups may protect adequate folate intake for many breastfeeding mothers. More research is needed to establish what level of dietary diversity would protect against hyperhomocysteinemia during breastfeeding and what factors promote or hinder the benefit of diversified diets on maternal folate nutrition.

The global diet quality score as an indicator of adequate nutrient intake and dietary quality - a nation-wide representative study

BACKGROUND

The Global Diet Quality Score (GDQS) was developed to be a simple, timely and cost-effective tool to track, simultaneously, nutritional deficiency and non-communicable disease risks from diet in diverse settings. The objective was to investigate the performance of GDQS as an indicator of adequate nutrient intake and dietary quality in a national-representative sample of the Brazilian population.

METHODS

Nationally-representative data from 44,744 men and non-pregnant and non-lactating women aging ≥ 10 years, from the Brazilian National Dietary Survey were used. Dietary data were collected through two 24-h recalls (24HR). The GDQS was calculated and compared to a proxy indicator of nutrient adequate intake (the Minimum Dietary Diversity for Women-MDD-W) and to an indicator of high-risk diet for non-communicable diseases (caloric contribution from ultra-processed foods-UPF). To estimate the odds for overall nutrient inadequacy across MDD-W and GDQS quintiles, a multiple logistic regression was applied, and the two metrics' performances were compared using Wald's post-test.

RESULTS

The mean GDQS for Brazilians was 14.5 (0-49 possible range), and only 1% of the population had a low-risk diet (GDQS ≥ 23). The GDQS mean was higher in women, elderly individuals and in higher-income households. An inverse correlation was found between the GDQS and UPF (rho (95% CI) = -0.20(-0.21;-0.19)). The odds for nutrient inadequacy were lower as quintiles of GDQS and MDD-W were higher (p-trend < 0.001), and MDD-W had a slightly better performance than GDQS (p-diff < 0.001). Having a low-risk GDQS (≥ 23) lowered the odds for nutrient inadequacy by 74% (95% CI:63%-81%).

CONCLUSION

The GDQS is a good indicator of overall nutrient adequacy, and correlates well with UPF in a nationally representative sample of Brazil. Future studies must investigate the relationship between the GDQS and clinical endpoints, strengthening the recommendation to use this metric to surveillance dietary risks.

Inverse Association between the Global Diet Quality Score and New-Onset Hypertension in Adults: A Nationwide Cohort Study

BACKGROUND

The Global Diet Quality Score (GDQS) is a simple and practical dietary metric associated with a number of chronic diseases. The GDQS included various foods related to blood pressure, especially diverse plant-based foods that have shown to lower blood pressure. However, studies on the role of the GDQS in reducing the risk of new-onset hypertension and whether its performance differs from that of other dietary metrics are lacking.

OBJECTIVE

We aimed to examine the association between the GDQS and new-onset hypertension and to compare its performance with that of other dietary patterns, including the Plant-based Diet Index (PDI), alternate Mediterranean diet (aMED) score, Alternative Healthy Eating Index-2010, and Dietary Approaches to Stop Hypertension (DASH) score in Chinese adults.

METHODS

We included a total of 12,002 participants (5644 males and 6358 females) aged >18 y from the China Health and Nutrition Survey (1997-2015). Dietary intake was estimated using average food intakes from 3 consecutive 24-h dietary recalls. Multivariable relative risks (RRs) were computed for hypertension using modified Poisson regression models.

RESULTS

With ≤18 y of follow-up (mean 8.7± 5.4 y), we ascertained 4232 incident cases of hypertension. Compared with participants with a low GDQS score (<15), the multivariable-adjusted RR of hypertension was 0.72 [95% confidence interval (CI): 0.62, 0.83] among participants with a high score (≥23). A 25% increment in the GDQS was associated with a 30% (RR, 0.70; 95% CI: 0.64, 0.76) lower risk of new-onset hypertension, which was comparable with the RRs of new-onset hypertension associated with every 25% increment in the PDI (RR, 0.84; 95% CI: 0.76, 0.93), DASH score (RR, 0.84; 95% CI: 0.78, 0.91), and aMED score (RR, 0.89; 95% CI: 0.84, 0.93).

CONCLUSION

A higher GDQS was associated with a lower risk of new-onset hypertension, with comparable associations of new-onset hypertension with PDI, DASH, and aMED scores in Chinese adults.

Water insecurity is associated with greater food insecurity and lower dietary diversity: panel data from sub-Saharan Africa during the COVID-19 pandemic

There is growing recognition that water insecurity - the inability to reliably access sufficient water for all household uses - is commonly experienced globally and has myriad adverse consequences for human well-being. The role of water insecurity in food insecurity and diet quality, however, has received minimal attention. Data are from panel surveys conducted during 2020-21 among adults involved in smallholder agriculture in Niger (n = 364, 3 rounds), Nigeria (n = 501, 5 rounds), Senegal (n = 501, 5 rounds), and Ghana (n = 543, 5 rounds). We hypothesized that household water insecurity (measured using the brief Household Water Insecurity Experiences Scale) would be associated with greater individual food insecurity (using 5 of the 8 Food Insecurity Experiences Scale items) and lower dietary diversity (using the Minimum Dietary Diversity Score for Women). At baseline, 37.1% of individuals were living in water-insecure households and of these, 90.6% had some experience of food insecurity. In multilevel mixed-effects regressions, individuals living in water-insecure households had 1.67 (95% CI: 1.47, 1.89) times higher odds of reporting any food insecurity experience and were estimated to consume 0.38-fewer food groups (95% CI: -0.50, -0.27) than those living in water-secure households. Experiences with suboptimal water access and use are associated with poor nutrition. The pathways by which water insecurity impacts nutrition should be identified. Global and national food and nutrition security policies could be strengthened by monitoring and developing strategies to address household water insecurity.

Association between diet quality and risk of stunting among school-aged children in Schistosoma mansoni endemic area of western Kenya: a cross-sectional study

BACKGROUND

Healthy eating habits are essential for improving nutritional status and strengthening immunity against infectious diseases. This study examined the relationship between diet quality and stunting in school-aged children in an infectious disease-endemic area of western Kenya.

METHODS

This cross-sectional study included 260 school-aged children (age 9-17 years) enrolled in primary schools in Mbita Sub-county, western Kenya. The nutritional status was assessed using anthropometric measurements. Dietary intake was measured using food frequency questionnaires and evaluated using the Food Pyramid (FP) score, which indicates adherence to the Kenyan food-based dietary guideline. Information on the children's age, sex, maternal education, and household wealth index was collected using a household-based questionnaire. Infections with the predominant parasites, such as Schistosoma (S.) mansoni, were detected via microscopy. The trend associations of the FP score with food group intake were examined to characterize the dietary intake of this population. Logistic regression analysis was performed to investigate the relationship between stunting and FP score tertiles, adjusted for sociodemographic and economic indicators and parasitic infection status.

RESULTS

Among the studied schoolchildren, 15.0% exhibited stunting, while 76.2% were infected with S. mansoni. The mean FP score was 25.6 out of 50 points. A higher FP score was characterized by a high intake of roots and tubers, dairy products, pulses, and fruits and a low intake of cereals and animal-source foods. The analysis revealed a trend: a lower risk of stunting was evident in groups with elevated FP scores (p for trend = 0.065). However, these trend associations were observable among subjects with either negative or light S. mansoni infection (p for trend = 0.016).

CONCLUSIONS

A higher quality diet, as evaluated by FP scores, was associated with a low risk of stunting among school-aged children. Notably, this association seemed to weaken in the presence of a high burden of S. mansoni infection. It highlights the importance of enhancing dietary quality through the promotion of diverse nutrient-dense foods alongside effective S. mansoni infection control for improved growth. This study contributes fundamental knowledge for understanding the diet-malnutrition relationship in areas endemic for S. mansoni infection.

Performance of the Global Diet Quality Score (GDQS) App in Predicting Nutrient Adequacy and Metabolic Risk Factors among Thai Adults

BACKGROUND

The Global Diet Quality Score (GDQS) was developed for monitoring nutrient adequacy and diet-related noncommunicable disease risk in diverse populations. A software application (GDQS app) was recently developed for the standardized collection of GDQS data. The application involves a simplified 24-h dietary recall (24HR) where foods are matched to GDQS-food groups using an onboard database, portion sizes are estimated at the food group level using cubic models, and the GDQS is computed.

OBJECTIVES

The study aimed to estimate associations between GDQS scores collected using the GDQS app and nutrient adequacy and metabolic risks.

METHODS

In this cross-sectional study of 600 Thai males and nonpregnant/nonlactating females (40-60 y), we collected 2 d of GDQS app and paper-based 24HR, food-frequency questionnaires (FFQs), anthropometry, body composition, blood pressure, and biomarkers. Associations between application scores and outcomes were estimated using multiple regression, and application performance was compared with that of metrics scored using 24HR and FFQ data: GDQS, Minimum Dietary Diversity-Women, Alternative Healthy Eating Index-2010, and Global Dietary Recommendations score.

RESULTS

In covariate-adjusted models, application scores were significantly (P < 0.05) associated with higher energy-adjusted mean micronutrient adequacy computed using 24HR (range in estimated mean adequacy between score quintiles 1 and 5: 36.3%-44.5%) and FFQ (Q1-Q5: 40.6%-44.2%), and probability of protein adequacy from 24HR (Q1-Q5: 63%-72.5%). Application scores were inversely associated with BMI kg/m2 (Q1-Q5: 26.3-24.9), body fat percentage (Q1-Q5: 31.7%-29.1%), diastolic blood pressure (Q1-Q5: 84-81 mm Hg), and a locally-developed sodium intake score (Q1-Q5: 27.5-24.0 points out of 100); positively associated with high-density lipoprotein cholesterol (Q1-Q5: 49-53 mg/dL) and 24-h urinary potassium (Q1-Q5: 1385-1646 mg); and inversely associated with high midupper arm circumference (Q5/Q1 odds ratio: 0.52) and abdominal obesity (Q5/Q1 odds ratio: 0.51). Significant associations for the application outnumbered those for metrics computed using 24HR or FFQ.

CONCLUSIONS

The GDQS app effectively assesses nutrient adequacy and metabolic risk in population surveys.

Association between dietary protein intake, diet quality and diversity, and obesity among women of reproductive age in Kersa, Ethiopia

Introduction

In Ethiopia, there is limited evidence on the effect of dietary protein intake on women's body mass index. Therefore, this study investigated the association between dietary protein intake, diet quality, and overweight and obesity.

Methods

A cross-sectional study was conducted among 897 women of reproductive age. Food frequency questionnaires were used to assess 7-day dietary intake. It was converted into protein and other macro-nutrient intakes, Minimum Dietary Diversity for Women, and Global Dietary Quality Score. Body Mass Index (BMI) of overweight & obese women were defined as ≥25 kg/m2. An adjusted odds ratio with a 95% confidence interval (in a multivariate logistic regression model) was used to determine the strength of the association between BMI and dietary protein intake, adjusting for potential confounders.

Results

The median dietary protein intake was 41.3 (32.9, 52.6) grams/day or 0.8 (0.6, 1.0) grams/kilogram of body weight/day. The prevalence of overweight and obesity was 7.5% (n = 67). Only 220 (24.5%) women could meet the recommended minimum dietary diversity of five or more food groups out of 10 per day. Furthermore, only 255 (28.4%) women were found to have a low risk for nutrient adequacy. Interestingly, women who consumed moderate dietary protein had a significantly lower likelihood of being overweight or obese, with AOR of 0.21 (95% CI 0.10-0.48). Similarly, those who consumed a high amount of protein had even lower odds, with AOR of 0.03 (95% CI 0.01-0.14), compared to those who consumed a low amount of dietary protein. Age of 40-49 years (AOR = 3.33, 95% CI 1.24-8.95) compared to 18-29 years, non-farmers (AOR = 3.21, 95% CI 1.55-6.62), higher consumption of food from unhealthy groups (AOR = 1.30, 95% CI 1.05-1.61), and high fat intake (AOR = 1.06, 95% CI 1.04-1.09) were associated with overweight and obesity.

Conclusions and recommendations

The study indicated an inverse relationship between BMI and dietary protein intake. It also revealed that women who consumed foods from unhealthy or unhealthy when consumed in excessive amounts were more likely to be overweight or obese. Increasing dietary protein consumption can help reproductive-age women reduce the odds of obesity and overweight. Furthermore, community-based educational programs, policy changes, and healthcare services can support this effort.

The Global Diet Quality Score is associated with nutrient adequacy and depression among Vietnamese youths

The Global Diet Quality Score (GDQS) has been recommended as a simple diet quality metric that is reflective of both nutrient adequacy and noncommunicable disease outcomes. It has been validated among women of reproductive age (15-49 years) in diverse settings but not specifically among younger women. This paper examines the relationship between the GDQS and nutrient adequacy, anthropometric outcomes, and depressive symptoms among 1001 Vietnamese young women aged 16-22 years. In energy-adjusted models, the GDQS was significantly (p < 0.05) and positively correlated with intakes of protein (ρ = 0.23), total fat (ρ = 0.06), nine micronutrients (calcium, iron, zinc, vitamin C, riboflavin, niacin, vitamin B6, folate, and vitamin A) (ρ = 0.12-0.35), and the mean probability of adequacy of micronutrients (ρ = 0.28). Compared to young women with optimal GDQS, those with low and very low GDQS were two to five times more likely to have a mean probability of nutrient adequacy less than 50% and showed two to three times higher odds for depression. No association was observed for GDQS and anthropometric outcomes. In conclusion, the GDQS performed well in capturing nutrient adequacy and depressive symptoms among Vietnamese young women. Further research is warranted to explore the relationship between diet quality and depression in other settings.

Folate deficiency among women of reproductive age in Ethiopia: A systematic review and meta-analysis

BACKGROUND

Folate deficiency (FD) can cause adverse health outcomes of public health significance. Although FD is a significant micronutrient deficiency in Ethiopia, concrete evidence is limited. Therefore, this systematic review and meta-analysis was designed to estimate the pooled prevalence of FD among women of reproductive age (WRA).

METHODS

A systematic literature search was performed using MEDLINE, Embase, CINAHL, Google Scholar, African Journals Online (AJOL), The Vitamin and Mineral Nutrition Information System (VMNIS) of the World Health Organization (WHO), Global Health Data Exchange (GHDx), and institutional repositories of major universities and research centers. Additionally, we scanned the reference lists of relevant articles. Two authors independently selected the studies, extracted the data, and the study risk of bias. Heterogeneity was assessed using the I2 statistic. We used a random-effects model to estimate the pooled mean serum/plasma folate and the pooled prevalence of FD. Begg's and Egger's tests were used to check publication bias.

RESULTS

Ten studies-nine cross-sectional and one case-control-with a total of 5,623 WRA were included in the systematic review and meta-analysis. Four (WRA = 1,619) and eight (WRA = 5,196) cross-sectional studies were used to estimate the pooled mean serum/plasma folate and prevalence of FD, respectively. The pooled mean serum/plasma folate concentration estimate was 7.14 ng/ml (95% CI: 5.73, 8.54), and the pooled prevalence of FD was estimated to be 20.80% (95% CI: 11.29, 32.27). In addition the meta-regression analysis showed that the sampling technique was significantly associated with mean serum/plasma folate concentration.

CONCLUSIONS

FD is a significant public health issue among WRA in Ethiopia. Therefore, the public health strategies of the country should focus on promoting the consumption of folate-rich foods, strengthening the coverage of folic acid supplementation and its adherence, and swift translation of the mandatory folic acid fortification into action.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO 2022-CRD42022306266.

Stunting and thinness in school-attending adolescents in Addis Ababa

BACKGROUND

Adolescent population Global Diet Quality Score (GDQS) is uncommon in low-income settings. Though Global Diet Quality Score is a good measure of dietary diversity, it has not been used in assessing nutritional outcomes among adolescents. Therefore, the aim of this study is to assess school-attending adolescents stunting and thinness status and associations with global diet quality scores in Addis Ababa.

METHODS

A school-based cross-sectional study was conducted among school-attending adolescents in the age group of 10-14 years in urban settings in Ethiopia. A multi-stage stratified random sampling procedure was used to select schools and students. A total of 1200 adolescents were included in the study. Binary and Multinomial logistic regression analyses were used to determine the predictors of stunting and thinness respectively.

RESULTS

The proportion of school-attending adolescents stunting was 8.17% (95% CI: 6.74%,9.85%) and their thinness status 12.66% (95% CI: 10.89%, 14.67%). The overall mean GDQS food groups for Seven days period consumed were 19.99 + 2.81 SD. Male adolescents were 1.95 times more likely to be stunted compared to female adolescents (1.95; 95%CI: 1.11,3.39). Frequent consumption of low-fat dairy increased the risk of thinness, while frequent consumption of citrus fruits and white root tubers decreased the risk of school-attending adolescents' thinness.

CONCLUSION

The proportion of thin or stunted adolescents attending school was high still, about 1 in 10. Stunting and thinness have no association with the overall GDQS. Nutritional interventions need to consider frequent consumption of citrus fruits, low-fat dairy, and white roots and tubers in school adolescents' nutritional programs. Further studies should validate the GDQS for stunting and thinness of school adolescents.

Integrated Spreadsheets for Nutritional Analysis of Population Diet Surveys

It can be challenging to calculate nutrient intakes in population diet surveys because existing nutritional analysis software is generally oriented toward analyzing intakes of individuals and may not allow users to input or easily modify the food composition data used in the analysis. These are drawbacks that are more problematic in low- and middle-income country settings. While there are numerous software-assisted dietary assessment platforms that conduct onboard nutritional analysis and are appropriate for use in large surveys, they are often similarly limited, and further restrict users to specific assessment modalities. This paper presents a multifunctional system of integrated spreadsheets for nutritional analysis of population diet surveys (ISNAPDS) that provides a solution for situations in which data have been collected but cannot be adequately analyzed with existing software. The protocol involves supplying the system with fully customizable data on food composition, food group classifications, and food intake (food intake in g/day may be entered directly or calculated based on user-supplied intake frequencies and either standard or variable serving sizes). Following data entry, the user modifies a set of simple pre-populated formulas to match them to the structure of the input data and the system applies these formulas to calculate nutrient and food group intakes, and the contributions of food groups to nutrient intakes for all members of the survey population. The flexibility of the ISNAPDS system allows it to accommodate the global diversity of foods consumed and analyze quantitative, semiquantitative, and nonquantitative food consumption data collected using prospective and retrospective assessment methods employing different reference periods and portion size estimation methods. To date, the system has been applied in published and ongoing analyses of 24 h recall, diet record, food frequency, and disaggregated household consumption data from population surveys in China, Ethiopia, India, Mongolia, Thailand, and a multi-country analysis of 10 sub-Saharan African countries.

Development and Validation of a Novel Food-Based Global Diet Quality Score (GDQS)

BACKGROUND

Poor diet quality is a major driver of both classical malnutrition and noncommunicable disease (NCD) and was responsible for 22% of adult deaths in 2017. Most countries face dual burdens of undernutrition and NCDs, yet no simple global standard metric exists for monitoring diet quality in populations and population subgroups.

OBJECTIVES

We aimed to develop an easy-to-use metric for nutrient adequacy and diet related NCD risk in diverse settings.

METHODS

Using cross-sectional and cohort data from nonpregnant, nonlactating women of reproductive age in 10 African countries as well as China, India, Mexico, and the United States, we undertook secondary analyses to develop novel metrics of diet quality and to evaluate associations between metrics and nutrient intakes and adequacy, anthropometry, biomarkers, type 2 diabetes, and iteratively modified metric design to improve performance and to compare novel metric performance to that of existing metrics.

RESULTS

We developed the Global Diet Quality Score (GDQS), a food-based metric incorporating a more comprehensive list of food groups than most existing diet metrics, and a simple means of scoring consumed amounts. In secondary analyses, the GDQS performed comparably with the Minimum Dietary Diversity - Women indicator in predicting an energy-adjusted aggregate measure of dietary protein, fiber, calcium, iron, zinc, vitamin A, folate, and vitamin B12 adequacy and with anthropometric and biochemical indicators of undernutrition (including underweight, anemia, and serum folate deficiency), and the GDQS also performed comparably or better than the Alternative Healthy Eating Index - 2010 in capturing NCD-related outcomes (including metabolic syndrome, change in weight and waist circumference, and incident type 2 diabetes).

CONCLUSIONS

The simplicity of the GDQS and its ability to capture both nutrient adequacy and diet-related NCD risk render it a promising candidate for global monitoring platforms. Research is warranted to validate methods to operationalize GDQS assessment in population surveys, including a novel application-based 24-h recall system developed as part of this project.

The Global Diet Quality Score Is Inversely Associated with Nutrient Inadequacy, Low Midupper Arm Circumference, and Anemia in Rural Adults in Ten Sub-Saharan African Countries

BACKGROUND

Key nutrient deficits remain widespread throughout sub-Saharan Africa (SSA) whereas noncommunicable diseases (NCDs) now cause one-third of deaths. Easy-to-use metrics are needed to track contributions of diet quality to this double burden.

OBJECTIVES

We evaluated comparative performance of a novel food-based Global Diet Quality Score (GDQS) against other diet metrics in capturing nutrient adequacy and undernutrition in rural SSA adults.

METHODS

We scored the GDQS, Minimum Dietary Diversity-Women (MDD-W), and Alternative Healthy Eating Index-2010 (AHEI-2010) using FFQ data from rural men and nonpregnant, nonlactating women of reproductive age (15-49 y) in 10 SSA countries. We evaluated Spearman correlations between metrics and energy-adjusted nutrient intakes, and age-adjusted associations with BMI, midupper arm circumference (MUAC), and hemoglobin in regression models.

RESULTS

Correlations between the GDQS and an energy-adjusted aggregate measure of dietary protein, fiber, calcium, iron, zinc, vitamin A, folate, and vitamin B-12 adequacy were 0.34 (95% CI: 0.30, 0.38) in men and 0.37 (95% CI: 0.32, 0.41) in women. The GDQS was associated (P < 0.05) with lower odds of low MUAC [GDQS quintile (Q) 5 compared with Q1 OR in men: 0.44, 95% CI: 0.22, 0.85; women: 0.57, 95% CI: 0.31, 1.03] and anemia (Q5/Q1 OR in men: 0.56, 95% CI: 0.32, 0.98; women: 0.60, 95% CI: 0.35, 1.01). The MDD-W correlated better with some nutrient intakes, though associated marginally with low MUAC in men (P = 0.07). The AHEI-2010 correlated better with fatty acid intakes, though associated marginally with low MUAC (P = 0.06) and anemia (P = 0.14) in women. Overweight/obesity prevalence was low, and neither the GDQS, MDD-W, nor AHEI-2010 were predictive.

CONCLUSIONS

The GDQS performed comparably with the MDD-W in capturing nutrient adequacy-related outcomes in rural SSA. Given limited data on NCD outcomes and the cross-sectional study design, prospective studies are warranted to assess GDQS performance in capturing NCD outcomes in SSA.