2021
DOI: 10.1016/j.jneb.2020.10.015
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The SNAP-Ed Evaluation Framework: Nationwide Uptake and Implications for Nutrition Education Practice, Policy, and Research

Abstract: Objective: Provide the first baseline census of Supplemental Nutrition Assistance Program Education (SNAP-Ed) state implementing agencies' (SIAs) intent to use and evaluate 51 indicators described in the SNAP-Ed Evaluation Framework. Methods: A cross-sectional study design was used to administer electronic surveys to 124 SIAs who received SNAP-Ed funding in 2017. Descriptive statistics were used to analyze the results. Results: Of 51 indicators, SIAs reported their intent to impact an average of 19 indicators … Show more

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Cited by 12 publications
(3 citation statements)
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“…As the data collection tools recommended to assess outcome measures related to these indicators are primarily recall survey tools, the addition of skin carotenoid assessment may be of benefit. A recent study of 124 SNAP-Ed State Implementing Agencies (SIA) representing all 50 states and the District of Columbia, in which 95% of SIAs surveyed intended to impact healthy eating behavioral changes in the medium-term, further supports this [49]. As SNAP-Ed is a large nationwide program, with a budget of over $431 million in Fiscal Year 2021 [50], the ability to evaluate the effectiveness of programs funded by SNAP-Ed is essential to ensuring that these funds are directed toward interventions with measurable impact.…”
Section: Discussionmentioning
confidence: 85%
“…As the data collection tools recommended to assess outcome measures related to these indicators are primarily recall survey tools, the addition of skin carotenoid assessment may be of benefit. A recent study of 124 SNAP-Ed State Implementing Agencies (SIA) representing all 50 states and the District of Columbia, in which 95% of SIAs surveyed intended to impact healthy eating behavioral changes in the medium-term, further supports this [49]. As SNAP-Ed is a large nationwide program, with a budget of over $431 million in Fiscal Year 2021 [50], the ability to evaluate the effectiveness of programs funded by SNAP-Ed is essential to ensuring that these funds are directed toward interventions with measurable impact.…”
Section: Discussionmentioning
confidence: 85%
“…Red clover RNA-seq data from different tissues were aligned to red clover contigs using GeMoMa-1.6.1 and a comprehensive transcriptome database was built using PASA (v. 2.0.1) [65,66]. Open reading frames were predicted using PASA (v. 2.0.1) and the resulting database was used to train parameters for the following four de novo gene prediction software packages: AUGUSTUS (v. 3.2.2) [67], GeneMarker-ET (v. 4.57) [68], GlimmerHMM (v. 3.0.2) [69], and SNAP [70]. Predictions obtained using these packages were then combined using EVM [71,72], and 44,588 genes were retrieved and functionally annotated by blast searches against databases, including NR, Swiss-Pro, eggNOG, GO, and KEGG [73][74][75].…”
Section: Functional Annotationmentioning
confidence: 99%
“…However, SNAP-Ed’s scope is small, and most resources are directed at critical public health interventions that change the policies, systems, and environments that shape participants’ food experiences and food choices. In 2018, SNAP-Ed provided direct education to 3.8 million people, representing less than 10% of SNAP participants [ 6 ].…”
Section: Introductionmentioning
confidence: 99%