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National Academies of Sciences, Engineering, and Medicine; Health and Medicine Division; Food and Nutrition Board; Committee to Review WIC Food Packages. Review of WIC Food Packages: Improving Balance and Choice: Final Report. Washington (DC): National Academies Press (US); 2017 May 1.
The extent to which the food packages for the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) can affect food and nutrient intake of the WIC-eligible population is dependent upon the extent to which eligible individuals participate. Factors that affect the decision to participate range from individual level to vendor level to variations in the food environment. Table G-1 summarizes the committee's review of the evidence related to these factors. Table G-2 presents the results of a quasi-experimental study of changes in availability of fruits and vegetables at WIC vendors before and after the 2009 WIC food package changes. The results suggest that benefits yielded by expansion of WIC food options vary by participant ethnicity and vendor type. A detailed discussion of barriers and incentives to participation in WIC can be found in the phase I interim report (NASEM, 2016).
REFERENCES
- Bertmann FM, Barroso C, Ohri-Vachaspati P, Hampl JS, Sell K, Wharton CM. Women, Infants, and Children cash value voucher (CVV) use in Arizona: A qualitative exploration of barriers and strategies related to fruit and vegetable purchases. Journal of Nutrition Education and Behavior. 2014;46(3 Suppl):S53–S58. [PubMed: 24809997]
- Christie C, Watkins JA, Martin A, Jackson H, Perkin JE, Fraser J. Assessment of client satisfaction in six urban WIC clinics. Florida Public Health Review. 2006;3:35–42.
- Gleason S, Pooler J. The effects of changes in WIC food packages on redemptions: Final report. Portland, ME: Altarum Institute; 2011. [December 21, 2016]. http://naldc
.nal.usda .gov/download/50613/PDF. - Gleason S, Morgan R, Bell L, Pooler J. Impact of the revised WIC food package on small WIC vendors: Insight from a four-state evaluation. Portland, ME: Altarum Institute; 2011. [December 21, 2016]. http://www
.calwic.org /storage/FourStateWICFoodPackageEvaluation-Full _Report20May11.pdf. - Gleason S, McGuire D, Morgan R. Opportunities to enhance American Indian access to the WIC food package: Evidence from three case studies. Portland, ME: Altarum Institute; 2014. [December 21, 2016]. http://altarum.org/sites/default/files/uploaded-publication-files/Opportunities%20to%20Enhance%20Am%20Indian%20Access%20to%20the%20 WIC%20FP_fmt_04.pdf.
- Najjar S. Master's thesis. School of Public Health, University of Washington; Seattle, WA: 2013. Barriers to WIC benefits redemption among participants in Washington State.
- NASEM (National Academies of Sciences, Engineering, and Medicine). Review of WIC food packages: Proposed framework for revisions: Interim report. Washington, DC: The National Academies Press; 2016. [PubMed: 27512745] [CrossRef]
- Phillips D, Bell L, Morgan R, Pooler J. Transition to EBT in WIC: Review of impact and examination of participant redemption patterns: Final report. Portland, ME: Altarum Institute; 2014. [December 21, 2016]. http://altarum
.org/sites /default/files/uploaded-publication-files /Altarum_Transition %20to%20WIC%20EBT_Final %20Report_071614.pdf. - USDA/ERS (U.S. Department of Agriculture/Economic Research Service). WIC participation patterns: An investigation of delayed entry and early exit. Washington, DC: USDA/ERS; 2010. [December 21, 2016]. https://www
.ers.usda .gov/webdocs/publications /err109/8018_err109.pdf?v=41056. - USDA/ERS. How economic conditions affect participation in USDA nutrition assistance programs. Washington, DC: USDA/ERS; 2012. [December 21, 2016]. https://www
.ers.usda .gov/webdocs/publications /eib100/32191_eib100.pdf. - Zenk SN, Odoms-Young A, Powell LM, Campbell RT, Block D, Chavez N, Krauss RC, Strode S, Armbruster J. Fruit and vegetable availability and selection: Federal food package revisions, 2009. American Journal of Preventive Medicine. 2012;43(4):423–428. [PubMed: 22992361]
Tables
TABLE G-1Literature Findings on Barriers and Incentives to WIC Participation and Redemption
Article | Barriers | Incentives/Strategies |
---|---|---|
Bertmann et al., 2014 | Negative interactions in stores: annoyance or anger expressed by cashier or other shoppers Confusion over WIC rules: fluctuation in enforcement of redemption rules store to store and week to week Cashiers lack training: participants have to explain the rules Feeling of embarrassment when using CVV | Find strategic choice of times and locations at which to shop Choose particular cashiers Pool CVV (using multiple vouchers at once) |
Christie et al., 2006 |
|
|
Gleason and Pooler, 2011 | Underutilization of infant food benefits |
|
Gleason et al., 2011 |
|
|
Gleason et al., 2014 |
|
|
Najjar, 2013 |
|
|
Phillips et al., 2014 |
|
|
USDA/ERS, 2010 | Of those exiting WIC at 1 year, transaction costs of participation may be a barrier: program requires too much effort and the benefits are not worth the time (26.2%) or they have scheduling or transportation problems (10%) Program requires too much effort, or scheduling, or transportation problems | |
USDA/ERS, 2012 | Improved national economic conditions generally reduce participation rates for WIC and other national assistance programs | Poorer economic conditions and unemployment rates tend to improve participation rates when the program is fully funded |
NOTES: CA = California; CVV = cash value voucher; V/F = vegetables and fruits; LVL = local vendor liaison.
TABLE G-2Changes in Fruit and Vegetable Availability and Selection Overall and by Vendor Type, Before Compared to After the 2009 WIC Food Package Changes
Availability or Selection | Fresh | Canned | Frozen | |||||
---|---|---|---|---|---|---|---|---|
Commonly Consumed FV | African-American FV | Latino FV | Vegetables | Low-Sodium Vegetables | Fruits | Vegetables | Fruits | |
Availability | ||||||||
Overall change | 2.14 (1.31, 3.50)b | 2.53 (1.31, 5.35)b | 1.72 (0.84, 3.98) | NE | 2.69 (1.17, 6.22)a | 1.84 (0.91, 3.72) | 1.97 (1.05, 3.70)a | 2.15 (1.06, 4.37)a |
Change by vendor type | ||||||||
Large | 3.56 (1.22, 10.34)a | 2.27 (1.31, 5.48)a | 1.69 (0.94, 5.54) | 1.62 (0.81, 3.25) | 0.93 (0.25, 3.48) | 1.01 (0.41, 2.48) | 1.43 (0.91, 2.25) | 2.10 (0.86, 5.12) |
Small | 1.07 (0.51, 2.24) | 2.64 (1.09, 6.38)a | 1.83 (0.65, 5.17) | 1.18 (0.47, 2.94) | 5.95 (1.74, 20.29)b | 2.11 (0.95, 4.69) | 2.80 (1.13, 6.93)a | 1.93 (0.68, 5.53) |
Pharmacy | NE | 1.38 (1.02, 1.88)a | 1.25 (0.92, 1.69) | NE | 0.71 (0.12, 4.18) | 1.06 (0.04, 25.53) | 1.34 (0.34, 5.24) | 2.24 (0.19, 25.74) |
Selection | ||||||||
Overall change | 1.67 (1.14, 2.47)b | 1.14 (1.01, 1.42) | 1.17 (1.02, 1.33) | 1.22 (1.07, 1.40)b | 1.13 (0.98, 1.30) | 0.96 (0.77, 1.20) | 1.09 (0.82, 1.46) | 0.92 (0.69, 1.21) |
Change by vendor type | ||||||||
Large | 1.67 (1.03, 2.69)a | 1.13 (1.01, 1.43) | 1.22 (1.06, 1.36)a | 0.84 (0.68, 1.04) | 1.05 (0.91, 1.20) | 0.88 (0.71, 1.09) | 1.02 (0.74, 1.40) | 0.93 (0.69, 1.25) |
Small | 1.71 (1.06, 2.76)a | 1.17 (0.78, 2.19) | 1.05 (0.73, 1.58) | 1.32 (0.95, 1.85) | 2.01 (1.03, 3.84)a | 1.05 (0.53, 2.07) | 1.34 (0.79, 2.29) | 0.80 (0.33, 1.93) |
Pharmacy | NE | 1.04 (0.93, 1.20) | 1.09 (0.95, 1.21) | 1.58 (1.31, 1.91)b | 1.17 (0.18, 7.45) | 1.35 (0.06, 30.18) | 0.81 (0.32, 2.08) | NE |
NOTES: FV = fruits and vegetables; NE = odds ratio not estimated due to lack of variability in outcome by year. Data presented as odds ratio (95% confidence interval). An odds ratio of 1.0 for this contrast indicates that the post-policy change from 2009 to 2010 was greater than the pre-policy change from 2008 to 2009.
- a
P< .05.
- b
P< .01.
SOURCE: Zenk et al., 2012 (used with permission).