Stretch your SNAP: Stakeholder perspectives of a novel benefits program to enhance diet quality.

Stretch your SNAP: Stakeholder perspectives of a novel benefits program to enhance diet quality.
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延伸您的 SNAP:利益相关者对提高饮食质量的新颖福利计划的看法。

DOI:
10.1016/j.pmedr.2024.102676
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发表时间:
2024
影响因子:
2.8
通讯作者:
Bean,MelanieK
Bean,MelanieK
中科院分区:
医学3区
文献类型:
--
作者:
Smith,DanyelI;Tatum,KristinaL;Lefbom,Lucie;Moore,Bonnie;Barnard,Rick;Harnack,Lisa;Foster,Brenda;Bean,MelanieK

文献摘要

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参加补充营养援助计划(SNAP)的家庭报告了购买营养食品的持续障碍。这项混合方法研究探讨了SNAP用户的食品和饮料购买模式和对SNAP潜在修改的看法,以告知SNAP+的设计,SNAP+是一个健康的激励计划,旨在增加水果和蔬菜(FV),减少含糖饮料(SSB)的购买。方法通过非营利组织网络招募参与者参加在线调查。调查措施包括:SNAP使用模式,用餐/购物模式,以及对SNAP潜在变化的看法。一个子集(N= 28)被邀请参加采访,以进一步探索这些领域。计算频率以探索定量数据的趋势,并对定性数据进行专题分析。结果278名被调查者中,女性(81.0%)、户主(90.8%)和母亲(70.5%)占调查对象的66.5%。大多数人每月在FV上花费超过15美元的SNAP(87.1%)和超过15美元的非SNAP(60.8%)。受访者每月在SSB上花费的SNAP(34.2%)和非SNAP(47.5%)美元<5美元。影响购买行为的因素包括:成本(71.6%),健康(80.2%)和避免浪费(73.0%)。通货膨胀和现有的购买模式激发了人们对SNAP+的兴趣。自主权的减少和需要重新分配其他资金来购买SSB被确定为入学障碍。结论SNAP用户普遍接受的修改,将对FV激励与SSB的限制,但战略,以保持自主性是必要的。结果可以为SNAP+的设计提供信息,以增强其作为积极塑造饮食摄入模式的策略的潜力。
Objective Families enrolled in the Supplemental Nutrition Assistance Program (SNAP) report persistent barriers to purchasing nutritious foods. This mixed-methods study explored SNAP users’ food and beverage purchasing patterns and perspectives regarding potential modifications to SNAP to inform the design of SNAP+, a healthy incentive program to increase fruit and vegetable (FV) and decrease sugar-sweetened beverage (SSB) purchases. Methods Participants were recruited through a non-profit organizational network to participate in an online survey. Survey measures included: SNAP usage patterns, meal/shopping patterns, and perceptions of potential changes to SNAP. A subset (N= 28) was invited to participate in an interview to further explore these domains. Frequencies were calculated to explore trends in quantitative data, with thematic analysis applied to qualitative data. Results Participants (N= 278) identified as female (81.0%), head of household (90.8%) and mothers (70.5%), with most (66.5%) using SNAP≥ 1 year. Most spend> $15 of SNAP (87.1%) and> $15 of non-SNAP (60.8%) dollars on FVs/month. Respondents spend< $5 of SNAP (34.2%) and non-SNAP (47.5%) dollars on SSBs/month. Factors shaping purchasing behaviors included: cost (71.6%), health (80.2%) and avoiding waste (73.0%). Inflation and existing purchasing patterns motivated interest in potentially enrolling in SNAP+. Diminished autonomy and a need to reallocate other funds to purchase SSBs were identified as enrollment deterrents. Conclusion SNAP users were generally receptive to modifications that would pair FV incentives with SSB restrictions, yet strategies to maintain autonomy are needed. Results can inform the design of SNAP+ to enhance its potential as strategy to positively shape dietary intake patterns.