"Nutritional Data Mining: measuring household grocery quality for clinical and public health applications Low burden, scalable tools to improve dietary health John F. Hurdle, MD, PhD Philip J. Brewster, PhD Valli Chidambaram, MS Le-Thuy Tran, PhD Department Biomedical Informatics Patricia Guenther, PhD, RD Debra Scammon PhD Kris C. Jordan PhD, RD Department of Nutrition and Carrie M. Durward, PhD, RDMarketing, Eccles School of Business Integrative Physiology Heidi Leblanc, MS University of Utah Paula Scott, MS Department of Nutrition, Dietetics, and Food Sciences QualMART Utah State University 1 Diet-related morbidity and mortality • Really, do I need to make the point that poor diet is bad for us? CDC. Diabetes Interactive Atlas. [cited May 2013]; Available from: QualMART http://www.cdc.gov/diabetes/atlas/obesityrisk/atlas.html. 2 Let’s start at the end… Personalized Recommendations USDA Food Plans Based on expenditure share UPC and expenditure data by household The Really Big Precision Medicine Idea -Coupons -Txt -email Menus -shopping lists -App Retrospective & Prospective Grocery Sales Data Expenditure share $-Incentives-$ + Food Quality Index & Recommendation Compliance from QualMART QualMART Compliance 3 From the Food Marketing Institute 2013 The largest retail grocery association in the U.S. (+40,000 retailers) USDA Economic Research Service argues Americans can eat healthy foods on a budget Partly because we are deniers… This is where QualMART comes in! QualMART 4 What we do and what we don’t • We don’t measure dietary intake • We do model the quality of the home food environment • We don’t focus on individuals • We do focus on households (estimated 6070% calories come from retail grocery) • We don’t pick ad hoc/black box nutrition standards • We do use good nutrition science from USDA QualMART 5 Conceptual Model of the Food Environment Credit goes to Phil Brewster for grounding our work in a conceptual model Glanz K, Sallis JF, Saelens BE, Frank LD. Healthy nutrition environments: concepts and measures. Am J Health Promot. 2005 May-Jun;19(5):330-3, ii. Our first attempt at using grocery data •Kristina Brinkerhoff PhD 2012 •Studied 50 high-volume Smith’s households •FFQ and household inventory •Hand mapped UPCs to USDA SR •Showed us there was a signal… Credit goes to Dr. Ed Clark, who hated doing NHANE interviews as a young doctor QualMART 7 About our So grocery what tomodel do? dataset Where the grocery data came from: ~144,000 households shopping at Kroger stores, 15 months, four marketing regions QualMART 8 About our grocery model dataset base_upc_desc frequency The grocery item distribution, by count, is highly skewed2,258,952 The top ten nationally: BANANAS AVOCADOS HASS TP RPC STRAWBERRIES CLMSHL RPC 918,009 CUCUMBERS 729,003 CORN YELLOW RPC 572,580 LIMES PEPPERS BELL GREEN XL RPC 571,032 KRO LOWFAT 2% PLAS ONIONS YELLOW JUMBO 1015 502,586 QualMART 748,997 544,167 495,311 9 Models we have developed based on Dietary Guidelines for Americans, 2010 USDA Food Plans Grocery Sales Database 29 food categories, based on expenditures QualMART Food Mapping Tools Household preferences and patterns QualMART Recommender Tool Healthy Eating Index -2010 Up to 12 food components Future work: recommendations to improve household food quality and study healthrelated outcomes USDA Food Plan Grains: breads Smith’s Sales Database Grains: rice and pasta QualMART UPC-Food Plan Map Credit goes to Phil Brewster for design and implementation Fruits: citrus, melons, berries, juices Meats: beef, pork, veal, lamb, game Other: sugars, sweets, candies . 29 food . categories in Food .Plans QualMART - Based on USDA Food Plans - Can be budget neutral - Designed for four USDA-defined levels of food budget 11 The Healthy Eating Index is most widely used metric in nutrition research; scale invariant Good Quality Shopper Avenues NHANES-based HEI estimator model Low Quality Shopper Moab Credit goes to Le-Thuy Tran for overall design and implementation QualMART 12 The Utah Food Quality Measurement and Recommendation Toolset (QualMART) About our data ~90% automatic mapping 10% hand mapped Various USDA databases ~100,000 UPC and PLU codes HEI Model QualMART Food Plan Model New models -DASH -Medit. Diet -Focus on added sugars . . 13 QualMART Pros • Operates on entire market basket, not select foods • Can be adapted to any diet quality measure (Mediterranean Diet, DASH…) • Operates over time any span • Painless for patients • Unbiased by recall • Retrospective and prospective monitoring • Cheap: stores collect UPC data anyway • Scalable: virtually all stores collect UPC data QualMART 14 QualMART Cons • We only see grocery data, not all foods – Still, ~60-70% of food calories come from retail grocery • We only have one grocery partner for now – Kroger, the largest grocery chain in the country • We know what to recommend, we don’t know yet how best to recommend QualMART 15 Our Collaborators • • • • • Kroger, Inc (via 84.51) UU Wellness Programs (exploratory) UU Health Plans (exploratory) U Pediatric Clinic (early stage, kids 80%BMI) UU Diabetes, Obesity, and Metabolism Service Line (exploratory) • TVC (disclosure filed, active effort to commercialize) • USDA and USU QualMART 16 Our two USDA funded studies • USDA Grant 1: studies 65 Hispanic and 65 nonHispanic SNAP participants, assessing select food quality variables • USDA Grant 2: much larger, multi-state study of 1,744 SNAP-eligible participants to assess multiple food quality variables, to determine if USDA nutrition education classes affect shopping habits Retrospective grocery quality (12 months) USDA Snap-Ed & EFNEP classes Prospective grocery quality (12 months) QualMART 17 The Utah Food Quality Measurement and Recommendation Toolset (QualMART) Two classes of Apps One for Patients • ‘At a glance’ to monitor recent progress and milestones • …and rewards? • Display: – smart phone – Pad – MyChart One for Clinicians • More clinical content • Long-term progress •[forSuggestions for shared illustration only] decision making • Display: – Standoff app – Epic (?) QualMART 18 Some fun public view views Estimated overall HEI by store in SLC Credit goes to Le-Thuy Tran for her HEI estimator Avenues Smith’s Smith’s Gas and Convenience Store! QualMART 19 Some fun public view views Salt Lake Dairy Atlanta Dairy Seattle Dairy QualMART Credit goes to Le-Thuy Tran for her HEI estimator 20 Results-Scores American Society for Nutrition Experimental Biology 2015 21 Results-Total Score Credit goes to Phil Brewster for his food plan model used here American Society for Nutrition Experimental Biology 2015 22 Next Steps • Refine current models • Find new metrics of interest, like DASH • Add more grocers – Means finding efficient ways to add new UPCs …the lesson of Greek Yogurt (Valli project) • Brainstorm with partners what they from household food quality data QualMART 23 qDIET for nutritional epdemiologists Credit goes to Thuy Tran and Valli Chidambaram for design and implementation 24 Caloric heat map to ease mapping Credit goes to Valli Chidambaram for design and implementation http://public.tableausoftware.com/profile/#!/vizhome/sugarvssodium/Dashboard1 http://public.tableausoftware.com/profile/#!/vizhome/micronutrients/micro 25 The Utah Food Quality Measurement and Recommendation Toolset (QualMART) Questions? QualMART 26 QualMART 27 The Utah Food Quality Measurement and Recommendation Toolset (QualMART) Potential Clients • • • • • • Health plans Corporate wellness programs Grocery chains Healthcare systems (large and small) Private PCP clinics Individuals QualMART 28 What we do and what we don’t • We don’t measure dietary intake • We do model the quality of the home food environment • We don’t focus on individuals • We do focus on households (estimated 6070% calories come from retail grocery) • We don’t pick ad hoc/black box nutrition standards • We do use good nutrition science from USDA QualMART 29