Development of an Interactive Web-Based Tool to Depict US Nutrient Adequacies



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44 Development of an Interactive Web-Based Tool to Depict US Nutrient Adequacies Julia K Bird Nutrition Innovation Center, Human Nutrition and Health, Delft, The Netherlands > Differences in the pattern of nutrient intakes were found according to gender, age, ethnicity and household income sub-populations. Key messages > The website can be visited at www.micronutrientcalculator.org > Micronutrient deficiencies continue to contribute to the global burden of disease worldwide. > While low nutrient intake is more prevalent in low-income countries, developed countries are also affected by nutrient deficiencies in sub-populations. > The National Health and Nutrition Examination Survey (NHANES), conducted continuously in the United States of America (USA) since 1999, provides nationally representative nutrient intake data that can be used to identify subpopulations at risk of nutritional deficiency. > The Micronutrient Calculator website was created to improve access to NHANES data for public health nutritionists, the food industry and others interested in the nutritional status of the USA s population. > Low intakes of fiber, choline, vitamin E, vitamin K, calcium, magnesium, potassium, and the carotenoids were found in the general population. Introduction Adequate intakes of vitamins and minerals are essential for maintaining human health. The contribution of micronutrients such as iron, vitamin A and iodine to the prevention of morbidity and mortality in large sectors of the global population, particularly low and middle-income countries, is well documented. 1 The Global Burden of Disease Study 2010 estimates that 340,000 child and maternal deaths were caused by deficiencies in vitamin A, zinc and iron that year. These accounted for almost 3% of the global disease burden, representing a large decrease since 1990 but still unacceptably high for preventable conditions. 2 Food insecurity and nutrient deficiencies in high-income countries also exist. For example, in 2008 14.6% of households in the United States were considered food insecure and 5.7% had very low food security, with higher rates found in households with children. 3 Nutrient inadequacies may be found in specific sub-populations; reports show that factors such as ethnicity, household income, education, age and gender affect intakes and biochemical markers of nutritional adequacy. 4 7

SIGHT AND LIFE VOL. 27 (1) 2013 INTERACTIVE WEB-BASED TOOL TO DEPICT US NUTRIENT ADEQUACIES 45 Food insecurity in high-income countries is related to the distribution of wealth throughout all sectors of society. Disposible household income determines not just the amount but also the types of foods consumed. This ultimately changes the pattern of foods consumed and nutrient intakes. In ethnically diverse countries such as the USA, cultural background can also have a strong influence on food preferences and intakes. 8 Disparities in health outcomes amongst common US ethnic groups are found for many diseases that are related to nutrition. For example, the burden of obesity and its related morbidities are higher in people of African American descent than in other groups that make up the rest of the general population. 9 Looking at intakes of particular nutrients, Hispanic women are at a higher risk of having a pregnancy affected by a neural tube defect, relating to lower intakes of folic acid through culturally appropriate staple foods. 10 Knowledge of the nutrients that bring concern can help shape interventions targeted at risk groups. The US Centers for Disease Control and Prevention (CDC) has been conducting a continuous survey of the US population s health and nutritional status through the nationally representative NHANES since 1999. 11 Using a complex, multi-stage probability design, a representative sample of non-institutionalized civilians is selected. In every two-year cycle, 7,500 to 8,500 individuals are examined. Participants take part in a detailed battery of health and nutrition-based examinations. To determine nutrient intakes, two 24-h dietary recalls are performed on non-consecutive days and compared to a database of the nutrient content of foods. The data, once stripped of all information that may identify the participants, are made available for public health purposes on a rolling basis. The CDC provides summary data online, however it is static and can be difficult to locate and interpret for public health nutritionists. As a practicum project for the Masters of Public Health in Nutrition at the University of Massachusetts, Amherst, the data was analyzed, summarized and presented via an interactive website. Practicum objectives 1. Provide NHANES data summarizing nutrient intakes, grouped by age, gender, household income and ethnicity, in a format that can be easily accessed and used by Public Health Nutritionists. 2. Use a visual element to enhance data interpretation and identification of risk nutrients. 3. Place intakes in context by linking them to nutritional recommendations. Data preparation Dietary and demographic datasets were downloaded from NHANES cycles 2003 2004, 2005 2006, and 2007 2008. Dietary data was taken from both 24-h dietary recalls and the National Cancer Institute (NCI) method was used to estimate usual intake and percentiles of intake from foods. 12 A balanced replication approach was used in conjunction with the NCI method to develop standard errors and confidence intervals. In the model, co-variants included day of the week (weekday / weekend) and interview type (in person/ telephone). The dataset was stratified for gender and grouped by age. Further sub-groups based on income categories (up to $24,999, $25,000 $74,999, and above $75,000), and ethnicity (White, African American and Mexican American) were calculated. Where possible, Estimated Average Requirements (EARs) from the US Dietary Reference Intakes (DRI) 13 were used to compute the percentile of each age, gender, ethnicity and household income group not meeting the recommendation. EARs are set at levels that meet the nutrient needs of 50% of the population. Exceptions to this were made for the nutrients fiber, choline, vitamin K, calcium, and potassium, for which only an Adequate Intake (AI) has been set; iron, for which only data for the RDA was available; and the carotenoids α-carotene, β-carotene, lutein and zeaxanthin, lycopene and total carotenoids, for which no recommended intake exists, therefore levels based on carotenoid intake achieved through recommended fruit and vegetable consumption were used. 14 All analyses were performed using SUDAAN software (version 10.0; Research Triangle Park, NC), and the data was exported into Excel worksheets, re-coded and imported into Microsoft Access 2003. To further improve the utility of the data for public health nutritionists, recommendations for each age and gender group were added to the data. A prototype that included interactive and visual elements was created using Microsoft Access 2003. The interactive elements consisted of pages to allow selection by age / gender, age / ethnicity and age / household income, with drop-down menus to offer the user a choice of subgroups within these categories. Conditional formatting based on a percentage of the population not meeting the recommendation was used to offer a visual means to assess nutrient adequacy. Technical aspects of website design The main website was created using html and css from a template. 15 After basic testing, these were converted to aspx for server implementation. The Microsoft Access database was converted to Microsoft SQL Server 2008 in order to upload it to the server. The conditional formatting on the percentage of the population not meeting the recommendation was presented in a traffic light display similar to the one used by Troesch et al. 16 to effectively provide visual cues indicating nutrient adequacy. General nutrition information about each nutrient on the web-

46 INTERACTIVE WEB-BASED TOOL TO DEPICT US NUTRIENT ADEQUACIES The Micronutrient Calculator offers public health nutritionists a convenient tool to quickly assess nutrient intake needs of a broad range of age, gender, ethnicity and household income categories. site was created and added behind a pop-up window in the table. Other content was created to complement the data and provide further information on nutrient intakes, sources and other similar web-based nutrition tools. The website is available at: www. micronutrientcalculator.org. How do nutrient intakes vary by age group, ethnicity and household income in the USA across the population? The amount of data presented on the website is considerable and an in-depth analysis is beyond the scope of this article. Nevertheless, there are some clear trends in the data that can be further investigated. For all age groups and genders, nutrient intakes are almost universally adequate for a number of vitamins, minerals and macronutrients. These nutrients are carbohydrate and protein, the B-vitamins, phosphorus, selenium and zinc. For other nutrients, less than half the population met the EAR or AI, indicating a marked risk of inadequacy across the population. These nutrients included fiber, choline, vitamin E, vitamin K, calcium, magnesium, potassium, and the carotenoids. Low intakes of many of these nutrients are related to poor adherence to fruit and vegetable intake recommendations; only around 7% of US adults meet age and sex-specific food-based dietary guidelines for fruits and vegetables. 14 Choline intakes are low because there are few foods rich in choline, and the few good sources are not consumed in large enough quantities on a population level. 17 Calcium intakes in adults decline with age, as total energy intakes decline, therefore the lower intakes are seen in older age groups. Vitamin E is found predominantly in foods with a moderate to high lipid content, such as oils, nuts, seeds, grains and fatty meats. When oil or fat is heated for frying, much of the vitamin E is destroyed, therefore fatty foods that are commonly consumed in the US such as fried potatoes contain low levels of vitamin E. Magnesium is commonly found in whole grain products, nuts and legumes; food items that are in line with US dietary guidelines yet are not consumed at adequate levels. 18,19 The mean intake of vitamins A, C and D provided evidence that at least half the population met requirements. However, overall intakes were low and a significant number of people in the population may actually be at risk of inadequacy and deficiency. This is backed up by biochemical data showing that 0.3%, 6% and 17.2% of the general population is deficient in vitamins A, C and D, respectively. 20 Large differences in the DRI for iron between women aged 14 and 50 and the other population groups mean that even though overall intakes are adequate, iron deficiency is more common in women of childbearing age. Men tend to have higher nutrient intakes than women due to higher overall food consumption. For some nutrients, the DRI is higher and does not impact the percentage of the population meeting requirements. Nutrient intakes in toddlers and young children are generally better than older populations, while for adolescents aged 14 18, high nutritional requirements mean that they are most at risk of inadequate intakes. The income categories chosen reflect low, average and high economic status when compared to the median US household income of around $50,000, and the 130% threshold of the Federal Poverty Level Guidelines, which was $24,505 for a family of four in 2004. 21,22 Overall nutrient intakes are higher in the

SIGHT AND LIFE VOL. 27 (1) 2013 INTERACTIVE WEB-BASED TOOL TO DEPICT US NUTRIENT ADEQUACIES 47 The micronutrient requirements of differing demographic groups can easily be accessed using the Micronutrient Calculator. highest income category, a phenomenon that has been found in other examinations of nutrient intake by income level in the US. 8 Nutrient-rich diets tend to be associated with a higher cost; a diet high in the nutrients dietary fiber, vitamins A, C, D, E, and B₁₂, β-carotene, folate, iron, calcium, potassium, and magnesium was associated with increased dietary cost. 23 Higher intakes of fruits, vegetables, whole grains and dairy in higher income groups accounted for higher intakes of vitamin C, β-carotene, potassium and magnesium in a recent analysis of the NHANES dataset. 8 Looking at ethnicity, there were some differences in intakes found. African Americans generally had the greatest risk of inadequacy, Whites had the lowest risk of inadequacy, and Mexican Americans had nutrient intakes that mostly lay in between. Some exceptions to these trends were seen for folate, choline, calcium, and magnesium, where the highest intakes were seen in the Mexican American subjects; vitamin C, where the Whites clearly had lower intakes than the other ethnic groups; and for vitamin K, the African Americans had the lowest risk of inadequacy. In the USA, ethnicity affects not only cultural practices surrounding general eating patterns, but is also somewhat con- founded with socioeconomic status, and this may reflect social, political disadvantages or neglect. Ethnic differences in cultural cohesion may also influence the effectiveness of general nutrition education interventions, 24 reflected by a lower percentage of minority populations meeting nutritional guidelines. 8 Differences in food consumption patterns due to variants in the cultural or socio-political environment underlie the disparities found in micronutrient intake by ethnicity. The interactive website developed based on NHANES data offers public health nutritionists and other interested parties a convenient tool to quickly assess nutrient intake needs of a broad range of age, gender, ethnicity and household income categories. Correspondence: Julia K Bird, Nutrition Innovation Center, Human Nutrition and Health, Alexander Fleminglaan 1, 2613 AX Delft, The Netherlands E-mail: julia.bird@dsm.com

48 INTERACTIVE WEB-BASED TOOL TO DEPICT US NUTRIENT ADEQUACIES References 01. Black R. Micronutrient deficiency an underlying cause of morbidity and mortality. Bull World Health Organ 2003;81(2):79. 02. Lim SS, Vos T, Flaxman AD, et al. A comparative risk assessment of the burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990 2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 2012;380(9859):2224 60. 03. Eisenmann JC, Gundersen C, Lohman BJ, Garasky S, Stewart SD. Is food insecurity related to overweight and obesity in children and adolescents? A summary of studies, 1995 2009. Obes Rev 2011;12(5):e73 83. 04. Hinds HE, Johnson AA, Webb MC, Graham AP. Iron, folate, and vitamin B₁₂ status in the elderly by gender and ethnicity. J Natl Med Assoc 2011;103(9 10):870 7. 05. Kant AK, Graubard BI. Ethnicity is an independent correlate of biomarkers of micronutrient intake and status in American adults. J Nutr 2007;137(11):2456 63. 06. Kant AK, Graubard BI. Race-ethnic, family income, and education differentials in nutritional and lipid biomarkers in US children and adolescents: NHANES 2003 2006. Am J Clin Nutr 2012;96(3):601 12. 07. Zhao G, Ford ES, Tsai J, Li C, Croft JB. Factors associated with vitamin D deficiency and inadequacy among women of childbearing age in the United States. ISRN Obstet Gynecol 2012;2012:691486. 08. Kirkpatrick SI, Dodd KW, Reedy J, Krebs-Smith SM. Income and race/ethnicity are associated with adherence to food-based dietary guidance among US adults and children. J Acad Nutr Diet 2012;112(5):624 35 e6. 09. Zhang H, Rodriguez-Monguio R. Racial disparities in the risk of developing obesity-related diseases: a cross-sectional study. Ethn Dis 2012;22(3):308 16. 10. Hamner HC, Tinker SC, Flores AL et al. Modelling fortification of corn masa flour with folic acid and the potential impact on Mexican-American women with lower acculturation. Public Health Nutr 2012;Nov 1:1 9. 11. Centers for Disease Control and Prevention. About the National Health and Nutrition Examination Survey. Version current 19 Sep 2012. Internet: www.cdc.gov/nchs/nhanes/about_nhanes.htm (accessed 19 Nov 2012). 12. National Cancer Institute. Usual Dietary Intakes: The NCI Method. Version current 19 Jul 2011. Internet: riskfactor.cancer.gov/diet/ usualintakes/method.html (accessed 20 Nov 2012). 13. Institute of Medicine. Dietary Reference Intakes Tables and Application. Version current 12 Sep 2011 10:57. Internet: www.iom.edu/activities/nutrition/summarydris/dri-tables.aspx (accessed 20 Nov 2012). 14. Murphy MM, Barraj LM, Herman D et al. Phytonutrient intake by adults in the United States in relation to fruit and vegetable consumption. J Acad Nutr Diet 2012;112(2):222 9. 15. Free Website Templates. Ecological Website Template. Version current 12 Jan 2012. Internet: www.freewebsitetemplates.com/forums/ threads/ecological-website-template.18798/ (accessed 19 Jun 2012). 16. Troesch B, Hoeft B, McBurney M, Eggersdorfer M, Weber P. Dietary surveys indicate vitamin intakes below recommendations are common in representative Western countries. Br J Nutr 2012;108(4):692 8. 17. Zeisel SH, da Costa KA. Choline: an essential nutrient for public health. Nutr Rev 2009;67(11):615 23. 18. Mitchell DC, Lawrence FR, Hartman TJ, Curran JM. Consumption of dry beans, peas, and lentils could improve diet quality in the US population. J Am Diet Assoc 2009;109(5):909 13. 19. O'Neil CE, Zanovec M, Cho SS, Nicklas TA. Whole grain and fiber consumption are associated with lower body weight measures in US adults: National Health and Nutrition Examination Survey 1999 2004. Nutr Res 2010;30(12):815 22. 20. Centers of Disease Control and Prevention. National Report on Biochemical Indicators of Diet and Nutrition in the U.S. Population 2012. Version current April 2012. Internet: www.cdc.gov/nutritionreport/pdf/nutrition_book_complete508_final.pdf#zoom=100. 21. DeNavas-Walt C, Proctor BD, Smith JC. Income, poverty and health insurance coverage in the USA: 2010. Version current September 2011. Internet: www.census.gov/prod/2011pubs/p60-239.pdf (accessed 17 Sep 2012). 22. Assistant Secretary for Planning and Evaluation UDoHaHS. The 2004 HHS Poverty Guidelines. Version current Jan 29, 2010. Internet: aspe.hhs.gov/poverty/04poverty.shtml. 23. Aggarwal A, Monsivais P, Drewnowski A. Nutrient intakes linked to better health outcomes are associated with higher diet costs in the USA. PLoS One 2012;7(5):e37533. 24. Kumanyika SK. Environmental influences on childhood obesity: ethnic and cultural influences in context. Physiol Behav 2008;94(1):61 70.