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1.
Health Aff (Millwood) ; 41(11): 1616-1625, 2022 11.
Artigo em Inglês | MEDLINE | ID: mdl-36343315

RESUMO

Many low-income Americans experience food insecurity, which may have been exacerbated by economic instability during the early stages of the COVID-19 pandemic in 2020. In this study we assessed the impact of Healthy Helping, a short-term fruit and vegetable incentive program aimed at alleviating food insecurity and improving diet quality for Supplemental Nutrition Assistance Program participants, on grocery purchases, using transaction data from a large supermarket chain in North Carolina. We compared Healthy Helping participants' purchases of key food groups before and during the program with purchases by control shoppers participating in federal food assistance programs during the same period. Healthy Helping enrollment was associated with a $26.95 increase in monthly spending on fruit, vegetables, nuts, and legumes-an increase of 2.5 grams of fiber per 1,000 kilocalories purchased-and other shifts in the composition of food purchases, relative to control shoppers. These findings suggest that the program increased healthy food purchases while also increasing dollar sales at participating retailers. On average, participants did not use the full benefit; future research should explore factors associated with non- or underuse of benefits, to inform program design and outreach.


Assuntos
COVID-19 , Assistência Alimentar , Humanos , Motivação , North Carolina , Pandemias , Verduras , Frutas , Abastecimento de Alimentos
2.
JAMA Netw Open ; 4(8): e2120377, 2021 08 02.
Artigo em Inglês | MEDLINE | ID: mdl-34379125

RESUMO

Importance: Food insecurity is associated with a less healthy diet. The Supplemental Nutrition Assistance Program (SNAP) is associated with reduced food insecurity, but benefit levels may be insufficient for beneficiaries to afford healthy foods. Objective: To evaluate whether participation in SuperSNAP, a program that provides an additional $40 per month for the purchase of fruits and vegetables with no added sugar, sodium, or fat to SNAP beneficiaries, is associated with changes in food purchasing. Design, Setting, and Participants: This longitudinal cohort study used data from transaction records of a large supermarket chain with approximately 500 stores located across North Carolina from October 2019 to April 2020. Participants were SNAP beneficiaries. Exposure: SuperSNAP participation. Main Outcomes and Measures: Monthly spending on all fruits, vegetables, legumes, and nuts (primary outcome); spending on less healthy food categories; and spending on sugar-sweetened beverages as 1 category of less healthy foods. Monthly data on purchases by SNAP beneficiaries before and during SuperSNAP participation were compared with data from SNAP beneficiaries not enrolled in the program who shopped at the same stores. Overlap weighting (a propensity score-based method) was used to account for confounding, and linear mixed-effects models were fitted with random effects to account for repeated measures and clustering by store. Results: The study included 667 SuperSNAP participants and 33 246 SNAP beneficiaries who did not use SuperSNAP but shopped in the same stores; 436 SuperSNAP participants had preintervention data and were included in the main analysis. SuperSNAP participation was associated with increased monthly purchases of fruits, vegetables, nuts, and legumes ($31.84; 95% CI, $31.27-$32.42; P < .001; 294.52 oz; 95% CI, 288.84-300.20 oz; P < .001). Only a small increase in spending on less healthy food categories compared with the SNAP beneficiaries who did not use SuperSNAP ($1.60; 95% CI, $0.67-$2.53; P < .001) was observed. As total spending increased, the proportion of total food and beverage spending on less healthy foods significantly decreased (difference, 4.51%; 95% CI, 4.27%-4.74%; P < .001). Monthly spending on sugar-sweetened beverages decreased (difference, $1.83; 95% CI, $1.30-$2.36; P < .001). Conclusions and Relevance: In this cohort study, participation in SuperSNAP was associated with meaningful increases in healthy food purchasing. Subsequent studies should investigate whether healthy food incentive programs improve health outcomes.


Assuntos
Comportamento do Consumidor/economia , Financiamento Governamental/economia , Assistência Alimentar/economia , Frutas/economia , Pobreza/psicologia , Pobreza/estatística & dados numéricos , Verduras/economia , Adulto , Idoso , Idoso de 80 Anos ou mais , Estudos de Coortes , Comportamento do Consumidor/estatística & dados numéricos , Feminino , Financiamento Governamental/estatística & dados numéricos , Assistência Alimentar/estatística & dados numéricos , Humanos , Estudos Longitudinais , Masculino , Pessoa de Meia-Idade , North Carolina , Estudos Retrospectivos , Adulto Jovem
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