Evaluating the impact of a healthy corner store initiative on food access domains

Paluta, Lauren; Kaiser, Michelle L.; Huber‐Krum, Sarah; Wheeler, Jack

doi:10.1016/j.evalprogplan.2018.11.004

Cited by 17 publications

(34 citation statements)

References 32 publications

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“…Out of the 34 multi-component interventions, 13 interventions included two Ps [ 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 ], 20 interventions included three Ps [ 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 , 76 , 77 , 78 ], and one intervention included all four Ps [ 79 ]. All of the multi-component interventions included promotion.…”

Section: Resultsmentioning

confidence: 99%

“…All of the multi-component interventions included promotion. Overall, 8 had positive effects [ 57 , 58 , 65 , 66 , 71 , 73 , 75 , 76 ], 2 studies had mixed effects (positive + negative) [ 68 , 78 ], 13 had mixed effects (positive + null) [ 46 , 47 , 49 , 51 , 52 , 53 , 56 , 59 , 60 , 61 , 62 , 64 , 72 ], 4 had mixed effects, (positive + null + negative) [ 50 , 55 , 63 , 77 ], and 7 had null effects [ 48 , 54 , 67 , 69 , 70 , 74 , 79 ] (see Table 3 ).…”

Section: Resultsmentioning

confidence: 99%

“…Fifteen studies implemented interventions with promotion, product, and placement strategies [ 59 , 60 , 61 , 62 , 63 , 65 , 67 , 68 , 69 , 71 , 73 , 74 , 76 , 77 , 78 ]. Out of the 15, 2 had mixed effects (positive + negative) [ 68 , 78 ], 4 had mixed effects (positive + null) [ 59 , 60 , 61 , 62 ], 2 had mixed effects (positive + negative + null) [ 63 , 77 ], 3 had null effects [ 67 , 69 , 74 ], and 4 had positive effects [ 65 , 71 , 73 , 76 ].…”

Section: Resultsmentioning

confidence: 99%

“…Six studies in this category used a pre-experimental [ 71 , 73 , 74 , 76 , 77 , 78 ] design. Similar to previous studies, strategies added point-of-purchase promotions, changed store structure and environment, altered in-store location, and increased stock of fresh produce [ 71 , 74 , 76 , 77 , 78 ]; one study implemented these strategies and paired urban farms with corner stores such that corner stores sold products obtained from urban farms [ 73 ]. Three studies found positive effects on purchases, sales, consumption, and intent to purchase healthy food [ 71 , 73 , 76 ].…”

Section: Resultsmentioning

confidence: 99%

See 3 more Smart Citations

Improving Consumption and Purchases of Healthier Foods in Retail Environments: A Systematic Review

Karpyn

McCallops

Wolgast

et al. 2020

IJERPH

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This review examines current research on manipulations of U.S. food retail environments to promote healthier food purchasing and consumption. Studies reviewed use marketing strategies defined as the 4Ps (product, price, placement, promotion) to examine results based on single- and multi-component interventions by study design, outcome, and which of the “Ps” was targeted. Nine electronic databases were searched for publications from 2010 to 2019, followed by forward and backward searches. Studies were included if the intervention was initiated by a researcher or retailer, conducted in-store, and manipulated the retail environment. Of the unique 596 studies initially identified, 64 studies met inclusion criteria. Findings show that 56 studies had at least one positive effect related to healthier food consumption or purchasing. Thirty studies used single-component interventions, while 34 were multi-component. Promotion was the most commonly utilized marketing strategy, while manipulating promotion, placement, and product was the most common for multi-component interventions. Only 14 of the 64 studies were experimental and included objective outcome data. Future research should emphasize rigorous designs and objective outcomes. Research is also needed to understand individual and additive effects of multi-component interventions on sales outcomes, substitution effects of healthy food purchases, and sustainability of impacts.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 2 more Smart Citations

Improving Consumption and Purchases of Healthier Foods in Retail Environments: A Systematic Review

Karpyn

McCallops

Wolgast

et al. 2020

IJERPH

View full text Add to dashboard Cite

show abstract

“…9 Health and nutrition researchers have advocated for increasing the consumption of healthy foods by making environmental changes to existing retail food outlets, including corner stores. [10][11][12][13] Despite the limited availability of grocery stores, corner stores are often abundant in underserved communities. By using established food outlets, residents have the opportunity to incorporate increased access to healthy foods into their existing daily routine.…”

Section: Introductionmentioning

confidence: 99%

Incentivizing Supplemental Nutrition Assistance Program Purchases with Fresh Produce in Corner Stores to Reduce Food Inequity in Underserved Areas of Washington DC

et al. 2020

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Maintaining a healthy eating pattern plays a key role in ensuring optimal health outcomes, yet, in areas considered ''food deserts'' and lower-income neighborhoods where the accessibility of healthy foods and beverages is limited, the pursuit of adequate nutrient intake is rendered cumbersome. This pilot program aims to improve access to healthful foods by supporting corner stores in stocking and promoting the purchase of produce. Methods: DC Central Kitchen's Healthy Corners program in Washington, DC piloted a nutrition incentive model in 17 corner stores that were upgraded to stock an increased variety and quantity of fresh produce. This program, entitled ''5-for-5,'' provided a $5 coupon toward the purchase of fresh produce to Supplemental Nutrition Assistance Program (SNAP) shoppers making a qualifying purchase of $5 or more with SNAP benefits. Results: Evaluation based on store owner buy-in and customer intercept surveys indicated overall satisfaction in program offerings with 77% of SNAP shoppers polled indicating an increase in produce consumption as a direct result of the program. Coupon distribution data indicated that in the 5-for-5 program's first year, 76.5% of all 57,989 distributed coupons were redeemed, amounting to $221,770 worth of incentivized fresh produce sales. Conclusion: The results of the incentive program were promising with increases in the amount of produce purchased as a result of the program. Lessons learned concerning the use of a financial incentive to encourage the purchase of produce at corner stores is explored, as well as the feasibility of the corner store as a sustainable venue to increase produce consumption in underserved communities.

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Association Between a Policy to Subsidize Supermarkets in Underserved Areas and Childhood Obesity Risk

2022

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IMPORTANCEThe establishment and renovation of supermarkets may promote healthy diet practices among youth by increasing retail infrastructure for fresh foods.OBJECTIVE To estimate the association between the Food Retail Expansion to Support Health (FRESH) program and the weight status of children and adolescents.DESIGN, SETTING, AND PARTICIPANTS Using a difference-in-differences (DiD) design and including 12 months before and after a FRESH supermarket opened, data were analyzed for residentially stable public school students in kindergarten through 12th grade with objectively measured height and weight data from the academic years 2009 through 2016. Of the 8 FRESH-subsidized supermarkets in residential neighborhoods in New York City, New York, 5 were new and 3 were renovation projects between December 2011 and June 2014. Data were analyzed from June 2021 to January 2022. INTERVENTIONSThe treatment group included students who resided within 0.50 miles of a FRESH-subsidized supermarket and had at least 1 body mass index (BMI) measurement within 12 months before and 3 to 12 months after the month a FRESH supermarket opened (n = 22 712 student-year observations). A 2-stage matching-weighting approach was used to construct a control group of students who resided more than 0.50 miles from a FRESH supermarket in a FRESH-eligible area (n = 86 744 student-year observations).MAIN OUTCOMES AND MEASURES BMI z score was calculated using objectively measured height and weight data from FITNESSGRAM, an annual, school-based, standardized fitness assessment of every New York City public school student. Obesity was defined as 95th percentile or greater of the BMI z score using Centers for Disease Control and Prevention growth charts. RESULTSThe treatment group in the analytic sample had 11 356 students (22 712 student-year observations), and the control group had 43 372 students (86 744 student-year observations). The students were predominately Black (18.8%) and Hispanic and Latino (68.5%) and eligible for free or reduced-priced lunch (84.6%). There was a significant decrease in BMI z score among students who resided within 0.50 miles of a FRESH supermarket (vs control group students) in the 3-to 12-month follow-up period (DiD, −0.04; 95% CI, −0.06 to −0.02). This was true for those exposed to supermarkets that were either new (DiD, −0.07; 95% CI, −0.11 to −0.03) or renovated (DiD, −0.03; 95% CI, −0.06 to −0.01). A statistically significant decrease was also observed in the likelihood of obesity (DiD, −0.01; 95% CI, −0.02 to −0.002).CONCLUSIONS AND RELEVANCE Government-subsidized supermarkets may contribute to a small decrease in obesity risk among children residing near those supermarkets, if part of a comprehensive policy approach.

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Evaluating the impact of a healthy corner store initiative on food access domains

Cited by 17 publications

References 32 publications

Improving Consumption and Purchases of Healthier Foods in Retail Environments: A Systematic Review

Improving Consumption and Purchases of Healthier Foods in Retail Environments: A Systematic Review

Incentivizing Supplemental Nutrition Assistance Program Purchases with Fresh Produce in Corner Stores to Reduce Food Inequity in Underserved Areas of Washington DC

Association Between a Policy to Subsidize Supermarkets in Underserved Areas and Childhood Obesity Risk

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