Food Composition Tables in Southeast Asia: The Contribution of the SMILING Project.

Objectives Food composition data are key for many nutrition related activities in research, planning and policy. Combatting micronutrient malnutrition among women and young children using sustainable food based approaches, as aimed at in the SMILING project, requires high quality food composition data. Methods In order to develop capacity and to align procedures for establishing, updating and assessing the quality of key nutrient data in the food composition tables in Southeast Asia, a detailed roadmap was developed to identify and propose steps for this. This included a training workshop to build capacity in the field of food composition data, and alignment of procedures for selecting foods and nutrients to be included for quality assessment, and update of country specific food composition tables. The SEA partners in the SMILING project finalised a country specific food composition table (FCT) with updated compositional data on selected foods and nutrients considered key for designing nutrient dense and optimal diets for the target groups. Results Between 140 and 175 foods were selected for inclusion in the country specific FCTs. Key-nutrients were: energy, protein, total fat, carbohydrates, iron, zinc, (pro-)-vitamin A, folate, calcium, vitamin D, vitamin B1, vitamin B2, vitamin B3, vitamin B6, vitamin B12 and vitamin C. A detailed quality assessment on 13 key-foods per nutrient was performed using international guidelines. Nutrient data for specific local food items were often unavailable and data on folate, vitamin B12 and vitamin B6 contents were mostly missing. For many foods, documentation was not available, thereby complicating an in-depth quality assessment. Despite these limitations, the SMILING project offered a unique opportunity to increase awareness of the importance of high quality well documented food composition data. Conclusion for Practise The self-reported data quality demonstrated that there is considerable room for improvement of the nutrient data quality in some countries. In addition, investment in sustainable capacity development and an urgent need to produce and document high quality data on the micronutrient composition of especially local foods is required.

Development of an Indian Food Composition Database.

An open-access and comprehensive nutrient database is not available in India. Our objective was to develop an open-access Indian Nutrient Databank (INDB). The development of the INDB consisted of 2 stages: creating a database of the nutrient composition data of individual food items (n = 1095) and a database of commonly consumed recipes (n = 1014). The stage 1 database was primarily derived from the Indian Council of Medical Research-National Institute of Nutrition's Indian Food Composition Table (ICMR-NIN IFCT) from 2017, with gaps filled using the ICMR-NIN IFCT 2004 and nutrient databases from the United Kingdom and United States. The stage 2 database included information on the amounts of each ingredient used in each recipe, matched to a comparable item in the database from stage 1. This unique open-access resource can be used by researchers, the government, and the private and third sectors to derive nutrient intakes in India to better inform interventions and policies to address malnutrition.

Perspective: A Comprehensive Evaluation of Data Quality in Nutrient Databases.

Nutrient databases are a critical component of nutrition science and the basis of exciting new research in precision nutrition (PN). To identify the most critical components needed for improvement of nutrient databases, food composition data were analyzed for quality, with completeness being the most important measure, and for FAIRness, how well the data conformed with the data science criteria of findable, accessible, interoperable, and reusable (FAIR). Databases were judged complete if they provided data for all 15 nutrition fact panel (NFP) nutrient measures and all 40 National Academies of Sciences, Engineering, and Medicine (NASEM) essential nutrient measures for each food listed. Using the gold standard the USDA standard reference (SR) Legacy database as surrogate, it was found that SR Legacy data were not complete for either NFP or NASEM nutrient measures. In addition, phytonutrient measures in the 4 USDA Special Interest Databases were incomplete. To evaluate data FAIRness, a set of 175 food and nutrient data sources were collected from worldwide. Many opportunities were identified for improving data FAIRness, including creating persistent URLs, prioritizing usable data storage formats, providing Globally Unique Identifiers for all foods and nutrients, and implementing citation standards. This review demonstrates that despite important contributions from the USDA and others, food and nutrient databases in their current forms do not yet provide truly comprehensive food composition data. We propose that to enhance the quality and usage of food and nutrient composition data for research scientists and those fashioning various PN tools, the field of nutrition science must step out of its historical comfort zone and improve the foundational nutrient databases used in research by incorporating data science principles, the most central being data quality and data FAIRness.

Iodine in Foods and Dietary Supplements: A Collaborative Database Developed by NIH, FDA and USDA.

Data on the iodine content of foods and dietary supplements are needed to develop general population intake estimates and identify major contributors to intake. Samples of seafood, dairy products, eggs, baked products, salts, tap water, other foods and beverages, and dietary supplements were collected according to established sampling plans of the U.S. Department of Agriculture (USDA) and the U.S. Food and Drug Administration (FDA). Samples were assayed for iodine content using inductively coupled plasma mass spectrometry with rigorous quality control measures. The food data were released through a collaboration of USDA, FDA, and the Office of Dietary Supplements-National Institutes of Health (ODS-NIH) as the USDA, FDA, and ODS-NIH Database for the Iodine Content of Common Foods at www.ars.usda.gov/mafcl. Iodine data for dietary supplements are available in the ODS-USDA Dietary Supplement Ingredient Database and the ODS Dietary Supplement Label Database. Data from the iodine databases linked to national dietary survey data can provide needed information to monitor iodine status and develop dietary guidance for the general U.S. population and vulnerable subgroups. This iodine information is critical for dietary guidance development, especially for those at risk for iodine deficiency (i.e., women of reproductive age and young children).

The association between maternal depressive symptomology and child dinner dietary quality among Hispanic Head Start families.

Dietary quality is important for children's growth and development. Poor dietary quality and maternal depression are prevalent among low-income, Hispanic families. Maternal depression likely influences child feeding before and during the meal. This secondary data analysis of an observational feeding study (2007-2008) examined how maternal depressive symptomology relates to dietary quality of dinner served to and consumed by Head Start preschoolers in Houston, TX (n = 82 mother-child dyads). A digital photography method assessed food served and consumed by the child at three separate dinner meals in families' homes. Healthy Eating Index-2010 (HEI) was calculated and averaged across the three meals to measure dietary quality (possible range 0-100). Maternal depression was assessed by the Centers for Epidemiologic Depression Scale (CES-D, possible range 0-60). A series of linear regression models were developed, regressing the total CES-D score and all four CES-D subscales onto both the dietary quality of the meal served and consumed. Dinners served had a HEI of 45.70 ± 9.19 and dinners consumed had a HEI of 44.65 ± 7.34. Clinically significant depressive symptomology (CES-D ≥ 16) was reported by 28% of mothers. Maternal depressive symptomology and the dietary quality served were not related. Controlling for dietary quality served, total CES-D and somatic complaints subscale scores were associated with lower dietary quality consumed (respectively, ß = -0.16, p < 0.05 and ß = -0.23, p < 0.01). Among low-income, Hispanic families, maternal depressive symptomology was predictive of the dietary quality consumed, but not served. Together, these findings reinforce the importance of parent feeding behaviors and emotional climates during dinner.

A Research Communication Brief: Gluten Analysis in Beef Samples Collected Using a Rigorous, Nationally Representative Sampling Protocol Confirms That Grain-Finished Beef Is Naturally Gluten-Free.

Knowing whether or not a food contains gluten is vital for the growing number of individuals with celiac disease and non-celiac gluten sensitivity. Questions have recently been raised about whether beef from conventionally-raised, grain-finished cattle may contain gluten. To date, basic principles of ruminant digestion have been cited in support of the prevailing expert opinion that beef is inherently gluten-free. For this study, gluten analysis was conducted in beef samples collected using a rigorous nationally representative sampling protocol to determine whether gluten was present. The findings of our research uphold the understanding of the principles of gluten digestion in beef cattle and corroborate recommendations that recognize beef as a naturally gluten-free food.

Frequency of consumption at fast-food restaurants is associated with dietary intake in overweight and obese women recruited from financially disadvantaged neighborhoods.

Fast-food restaurants are more prevalent in lower-income and predominately African American neighborhoods, where consumption of fast food is also higher. In general populations, fast-food consumption is related to less healthy dietary intake. This cross-sectional study examined the hypotheses that greater fast-food consumption is associated with less healthy dietary intake and poorer diet quality in overweight and obese women (n = 196, 25-51 years, 87% African American) recruited from financially disadvantaged Census tracts. Dietary intake and diet quality (Alternate Healthy Eating Index) were assessed via three 24-hour dietary recalls. Linear regression models tested the association between fast-food consumption and each outcome (model 1). Model 2 added sociodemographics and physical activity. Model 3 added total caloric intake. Fast-food consumption was significantly associated with total caloric intake; total intake of meat, grains, sweetened beverages, dairy, fiber, cholesterol, sodium, and added sugar; and percent of calories from total fat, saturated fat, and trans-fatty acids. Statistically significant associations remained in model 2, but most were not significant in model 3. Fast-food consumption was not associated with diet quality (Alternate Healthy Eating Index) in any model. In this at-risk sample, fast-food consumption was associated with more negative dietary practices. Significant associations generally disappeared when controlling for total caloric intake, suggesting that women who eat more fast food have higher total caloric intakes as a result of increased consumption of unhealthy rather than healthy foods.