Crowdsourcing for Food Purchase Receipt Annotation via Amazon Mechanical Turk: A Feasibility Study.

BACKGROUND: The decisions that individuals make about the food and beverage products they purchase and consume directly influence their energy intake and dietary quality and may lead to excess weight gain and obesity. However, gathering and interpreting data on food and beverage purchase patterns can be difficult. Leveraging novel sources of data on food and beverage purchase behavior can provide us with a more objective understanding of food consumption behaviors. OBJECTIVE: Food and beverage purchase receipts often include time-stamped location information, which, when associated with product purchase details, can provide a useful behavioral measurement tool. The purpose of this study was to assess the feasibility, reliability, and validity of processing data from fast-food restaurant receipts using crowdsourcing via Amazon Mechanical Turk (MTurk). METHODS: Between 2013 and 2014, receipts (N=12,165) from consumer purchases were collected at 60 different locations of five fast-food restaurant chains in New Jersey and New York City, USA (ie, Burger King, KFC, McDonald's, Subway, and Wendy's). Data containing the restaurant name, location, receipt ID, food items purchased, price, and other information were manually entered into an MS Access database and checked for accuracy by a second reviewer; this was considered the gold standard. To assess the feasibility of coding receipt data via MTurk, a prototype set of receipts (N=196) was selected. For each receipt, 5 turkers were asked to (1) identify the receipt identifier and the name of the restaurant and (2) indicate whether a beverage was listed in the receipt; if yes, they were to categorize the beverage as cold (eg, soda or energy drink) or hot (eg, coffee or tea). Interturker agreement for specific questions (eg, restaurant name and beverage inclusion) and agreement between turker consensus responses and the gold standard values in the manually entered dataset were calculated. RESULTS: Among the 196 receipts completed by turkers, the interturker agreement was 100% (196/196) for restaurant names (eg, Burger King, McDonald's, and Subway), 98.5% (193/196) for beverage inclusion (ie, hot, cold, or none), 92.3% (181/196) for types of hot beverage (eg, hot coffee or hot tea), and 87.2% (171/196) for types of cold beverage (eg, Coke or bottled water). When compared with the gold standard data, the agreement level was 100% (196/196) for restaurant name, 99.5% (195/196) for beverage inclusion, and 99.5% (195/196) for beverage types. CONCLUSIONS: Our findings indicated high interrater agreement for questions across difficulty levels (eg, single- vs binary- vs multiple-choice items). Compared with traditional methods for coding receipt data, MTurk can produce excellent-quality data in a lower-cost, more time-efficient manner.

Could EBT Machines Increase Fruit and Vegetable Purchases at New York City Green Carts?

INTRODUCTION: Residents of some low-income neighborhoods have limited access to fresh fruits and vegetables. In 2008, New York City issued new mobile fruit and vegetable cart licenses for neighborhoods with inadequate availability of fresh produce. Some of these carts were equipped with electronic benefit transfer (EBT) machines, allowing them to accept Supplemental Nutrition Assistance Program (SNAP) benefits. This article examines the association between type and quantities of fruits and vegetables purchased from mobile fruit and vegetable vendors and consumer characteristics, including payment method. METHODS: Customers at 4 produce carts in the Bronx, New York, were surveyed during 3 periods in 2013 and 2014. Survey data, including purchased fruit and vegetable quantities, were analyzed using multivariable negative binomial regressions, with payment method (cash only vs EBT or EBT and cash) as the primary independent variable. Covariates included availability of EBT, vendor, and customer sociodemographic characteristics. RESULTS: A total of 779 adults participated in this study. Shoppers who used SNAP benefits purchased an average of 5.4 more cup equivalents of fruits and vegetables than did shoppers who paid with cash. Approximately 80% of this difference was due to higher quantities of purchased fruits. CONCLUSION: Expanding access to EBT machines at mobile produce carts may increase purchases of fruits and vegetables from these vendors.

The Introduction of a Supermarket via Tax-Credits in a Low-Income Area.

PURPOSE: Interest and funding continue to grow for bringing supermarkets to underserved areas, yet little is known about their impact. DESIGN: A quasi-experimental study was used to determine the impact of a new supermarket opening as a result of tax and zoning incentives. SETTING: The study took place in the South Bronx, New York City, New York. SUBJECTS: Studied were residents of two South Bronx neighborhoods deemed high need. MEASURES: Food purchasing and consumption were examined via surveys and 24-hour dietary recalls before and at two points after the supermarket opened (1-5, 13-17 months). ANALYSIS: Data were analyzed using difference-in-difference models controlling for gender, race and ethnicity, age, education, marital status, and self-reported income. Ordinary least squares and logistic regression models were estimated for continuous and binary outcomes, respectively. RESULTS: At baseline, 94% to 97% of consumers shopped at a supermarket. There was a 2% increase in this behavior in the intervention community ( p < .05) not seen in the comparison community. One year later there was a 7% net increase in eating at home ( p < .1) and a 20% decrease in drinking sugary beverages ( p < .05), but no appreciable change in fruit/vegetable consumption or overall dietary quality. CONCLUSION: The new supermarket did not result in substantial or broad changes in purchasing patterns or nutritional quality of food consumed, though smaller, positive changes were observed over a 1-year period. Future work should examine different contexts and a broader set of outcomes, including economic development.

Adults Who Order Sugar-Sweetened Beverages: Sociodemographics and Meal Patterns at Fast Food Chains.

INTRODUCTION: Approximately 30% of adults consume sugar-sweetened beverages (SSBs) daily, many at fast food restaurants. Researchers examined fast food purchases to better understand which consumers order SSBs, particularly large SSBs. METHODS: Fast food customers in New York City and New Jersey provided receipts and participated in a survey during 2013-2014 (N=11,614). Logistic regression analyses predicted three outcomes: ordering no beverage or a non-SSB, a small/medium SSB, or a large SSB. Among respondents who ordered a beverage (n=3,775), additional analyses predicted number of beverage calories and odds of ordering an SSB. Covariates included demographic and behavioral factors. RESULTS: Respondents aged 18-29 years were 88% more likely to order a large SSB than a non-SSB or no beverage, as compared with respondents aged ≥50 years (p<0.001). Among respondents who purchased a beverage, respondents ordered more beverage calories with a large combination meal (+85.13 kcal, p=0.001) or if the restaurant had a large cup size >30 ounces (+36.07 kcal, p=0.001). Hispanic and Asian respondents were less likely to order a large SSB (AOR=0.49 and 0.52, respectively, both p≤0.026) than non-Hispanic white respondents. Odds of ordering a large SSB were higher for respondents who ate in the restaurant (AOR=1.66, p<0.001) or stated that they chose beverage based on price (AOR=2.02, p<0.001). CONCLUSIONS: Young adults and customers of restaurants with a larger cup size were more likely to purchase SSBs, and their beverage calories increased with meal size. Increased understanding of these factors is an important step toward limiting unhealthy SSB consumption.

Spending at mobile fruit and vegetable carts and using SNAP benefits to pay, Bronx, New York, 2013 and 2014.

This study examines purchases at fruit and vegetable carts and evaluates the potential benefits of expanding the availability of electronic benefit transfer machines at Green Carts. Customers at 4 Green Carts in the Bronx, New York, were surveyed in 3 waves from June 2013 through July 2014. Customers who used Supplemental Nutrition Assistance Program benefits spent on average $3.86 more than customers who paid with cash. This finding suggests that there may be benefits to increasing the availability of electronic benefit transfer machines at Green Carts.

Corner Store Purchases in a Low-Income Urban Community in NYC.

We assessed purchases made, motivations for shopping, and frequency of shopping at four New York City corner stores (bodegas). Surveys and purchase inventories (n = 779) were collected from consumers at four bodegas in Bronx, NY. We use Chi square tests to compare types of consumers, items purchased and characteristics of purchases based on how frequently the consumer shops at the specific store and the time of day the purchase was made. Most consumers shopped at the bodega because it was close to their home (52 %). The majority (68 %) reported shopping at the bodega at least once per day. The five most commonly purchased items were sugary beverages, (29.27 %), sugary snacks (22.34 %), coffee, (13.99 %), sandwiches, (13.09 %) and non-baked potato chips (12.2 %). Nearly 60 % of bodega customers reported their purchase to be healthy. Most of the participants shopped at the bodega frequently, valued its convenient location, and purchased unhealthy items. Work is needed to discover ways to encourage healthier choices at these stores.

Assessment of a government-subsidized supermarket in a high-need area on household food availability and children's dietary intakes.

OBJECTIVE: To assess the impact of a new government-subsidized supermarket in a high-need area on household food availability and dietary habits in children. DESIGN: A difference-in-difference study design was utilized. SETTING: Two neighbourhoods in the Bronx, New York City. Outcomes were collected in Morrisania, the target community where the new supermarket was opened, and Highbridge, the comparison community. SUBJECTS: Parents/caregivers of a child aged 3-10 years residing in Morrisania or Highbridge. Participants were recruited via street intercept at baseline (pre-supermarket opening) and at two follow-up periods (five weeks and one year post-supermarket opening). RESULTS: Analysis is based on 2172 street-intercept surveys and 363 dietary recalls from a sample of predominantly low-income minorities. While there were small, inconsistent changes over the time periods, there were no appreciable differences in availability of healthful or unhealthful foods at home, or in children's dietary intake as a result of the supermarket. CONCLUSIONS: The introduction of a government-subsidized supermarket into an underserved neighbourhood in the Bronx did not result in significant changes in household food availability or children's dietary intake. Given the lack of healthful food options in underserved neighbourhoods and need for programmes that promote access, further research is needed to determine whether healthy food retail expansion, alone or with other strategies, can improve food choices of children and their families.

The influence of calorie labeling on food orders and consumption: a review of the literature.

Obesity is a challenging public health problem that affects millions of Americans. Increasingly policy makers are seeking environmental and policy-based solutions to combat and prevent its serious health effects. Calorie labeling mandates, including the provision in the 2010 Patient Protection and Affordable Care Act that is set to begin in 2014, have been one of the most popular and most studied approaches. This review examines 31 studies published from January 1, 2007 through July 19, 2013. It builds on Harnack and French's 2008 review and assesses the evidence on the effectiveness of calorie labeling at the point of purchase. We find that, while there are some positive results reported from studies examining the effects of calorie labeling, overall the best designed studies (real world studies, with a comparison group) show that calorie labels do not have the desired effect in reducing total calories ordered at the population level. Moving forward, researchers should consider novel, more effective ways of presenting nutrition information, while keeping a focus on particular subgroups that may be differentially affected by nutrition policies.

Environmental and individual factors affecting menu labeling utilization: a qualitative research study.

Obesity is a prominent public health concern that disproportionally affects low-income and minority populations. Recent policies mandating the posting of calories on menus in fast-food chain restaurants have not proven to uniformly influence food choice. This qualitative research study used focus groups to study individual and environmental factors affecting the use of these menu labels among low-income minority populations. Ten focus groups targeting low-income residents (n=105) were held at various community organizations throughout New York City over a 9-month period in 2011. The focus groups were conducted in Spanish, English, or a combination of both languages. In late 2011 and early 2012, transcripts were coded through the process of thematic analysis using Atlas.ti for naturally emerging themes, influences, and determinants of food choice. Few participants used menu labels, despite awareness. The most frequently cited as barriers to menu label use included: price and time constraints, confusion and lack of understanding about caloric values, as well as the priority of preference, hunger, and habitual ordering habits. Based on the individual and external influences on food choice that often take priority over calorie consideration, a modified approach may be necessary to make menu labels more effective and user-friendly.