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. 2020 May 26;11(6):1646–1662. doi: 10.1093/advances/nmaa060

TABLE 2.

Thematic summary of all included studies related to fruit and vegetable (FV) purchases and consumption among WIC participants1

Main themes or hypothesis Study setting Study population Comparison group Outcome (FV purchases or FV intake) Results Rank, author(s), year, quality2
I. 2009 WIC food package revision National WIC children aged 2–4 y Self (post-revision) and income-eligible nonparticipants’ children aged 2–4 y Dietary intake3 (HEI-2010 component scores of FV) 1. WIC children had significant ↑ of 3.7 HEI-2010 points (95% CI: 0.6, 6.9) after the 2009 revision compared with income-eligible nonparticipating children2. WIC children had significant 3.4-fold ↑ (95% CI: 1.3, 9.4) in greens and beans compared with income-eligible nonparticipating children3. No significant change in HEI-2010 component scores of total fruit (including 100% fruit juice), whole fruit (not including 100% fruit juice), (P = 0.73), and total vegetables comparing WIC children and income-eligible nonparticipating children (P = 0.47) 1. Tester et al., 2016 (25)***
National All WIC participants Self (post-revision) and income-eligible nonparticipants FV per capita purchase4 (g/d) [100% fruit juice assessed separately] 1. Significant ↑ in purchase of FV without additions (e.g., sugar, fat, and salt) over time in both WIC and income-eligible nonparticipants 2. Ng et al., 2018 (24)***
State (California) Pregnant or postpartum women and/or caregivers of children enrolled in WIC Self (post-revision) FV intake3 (frequency: times/d; daily servings) [100% fruit juice assessed separately] 1. Proportion of families eating more vegetables compared with 6 mo ago significantly ↑ by 7.2% after WIC revision; no significant changes on fruits (P = 0.11)2. Mean frequency of fruit intake for respondents ↑ significantly by 0.1 servings/d after WIC revision; no change on vegetable (P = 0.12) 3. Whaley et al., 2012 (27)***
State (Connecticut and Massachusetts) WIC participants Self (post-revision) FV purchased amount4 (g/mo) and FV expenditure4 ($/mo) 1. Significant ↑ in FV (fresh vegetable, frozen vegetable, and fresh fruit) purchased amount and expenditure per household 4. Andreyeva and Luedicke, 2015 (26)***
Local (Head Start centers in rural communities in New Mexico) Preschool children from WIC-participating households Self (post-revision) FV intake3 (cups/d) [fruit measurement excluding fruit juice] 1. Significant ↓ vegetable without potatoes intake for preschool children after the 2009 revision; decrease not significant if including potatoes as vegetables (P > 0.05)2. No change in fruit intake for preschool children (P > 0.05) 5. Morshed et al., 2015 (28)***
Local (local agencies in Texas) WIC participants with a child aged 2–5 y Self (post-revision) FV consumption frequency3 (times/d) [100% fruit juice assessed separately] No significant difference in FV intake for children before and after the 2009 WIC food package revision (P > 0.003) 6. Diep et al., 2015 (29)***
Local (12 WIC clinics in Chicago, IL) WIC-participating mothers and children Self (post-revision) FV intake3 (fruit: % participants with >0 servings/d; vegetable: % participants with >0.5 servings/d) [100% fruit juice assessed separately] Nonsignificant ↑ % of black and Hispanic children and mothers with >0 servings/d of fruits (P > 0.05); nonsignificant ↑ % of black and Hispanic children and black mothers with >0.5 servings/d of vegetables (P > 0.05); nonsignificant ↓ % of Hispanic mothers with >0.5 servings/d of vegetables (P > 0.05) 7. Kong et al., 2014 (30)***
Local (12 WIC clinics in Chicago, IL) WIC-participating mother/child (2–3 y) dyads Self (post-revision) Dietary intake3 (servings/d) [100% fruit juice assessed separately] 1. Significant ↑ fruit intake among Hispanic mothers2. No significant change in fruit or vegetable intake in any African mothers (P = 0.15 and 0.53, respectively), and children (P = 0.95 and 0.28, respectively), and in Hispanic children (P = 0.47 and 0.09, respectively) 8. Odoms-Young et al., 2014 (31)**
Local (WIC clinic in south central Texas) WIC-participating infants and toddlers (4–24 mo)  Self (post-revision) FV exposure3 (any consumption, regardless of portion size) [100% fruit juice assessed separately] 1. Significant ↓ daily exposure of fresh vegetables among toddlers (12–24 mo) after the 2009 package revision2. No significant change in daily exposure to fresh fruits among toddlers (P > 0.05)3. Significant ↑ in % of toddlers who had zero exposures to FV after 2009 package revision 9. Reat et al., 2015 (32)**
II. WIC participation National WIC children aged 13 and 24 mo Self (longitudinal) HEI-2015 component scores3 1. Maximum on both total fruit (including 100% fruit juice) and whole fruit (excluding 100% fruit juice) scores, but low on total vegetable and greens and beans scores in children 10. Au et al., 2018 (35)***
National WIC children aged 2–4 y WIC income-eligible nonparticipants’ children aged 2–4 y FV intake3 (cups/d) 1. No difference in whole fruit or total vegetable intake between WIC children and income-eligible nonparticipants (P > 0.05)2. WIC children consumed significantly ↑ total fruit (including 100% fruit juice) compared with income-eligible nonparticipating children 11. Vercammen et al., 2018 (34)***
Local (Los Angeles County, CA) WIC-only children Participating children in dual programs (SNAP and WIC) FV intake3 (servings/d) 1. Children who participated in dual programs (WIC + SNAP) consumed ↑ FVs than those who participated in WIC only 12. Liu et al., 2017 (37)***
Local (2 supermarkets in 2 small urban areas in North Carolina—Wilson and Greenville, NC) WIC adult grocery shoppers WIC nonparticipants (eligible and noneligible) FV consumption4 (skin carotenoids) WIC participants had significant ↑ skin carotenoids score than nonparticipants 13. McGuirt et al., 2018 (38)***
National WIC children 12–23 mo WIC income-eligible and high-income nonparticipants’ children 12–23 mo FV intake3 (consumed on a given day) 1. Significant ↑ % of fruit and vegetable (excluding white potatoes) intake among WIC-participating children compared with income-eligible nonparticipating children 14. Hamner et al., 2019 (33)**
National WIC children 12–47.9 mo WIC nonparticipating children 12–47.9 mo Any FV consumed3 1. Significant ↓ % of WIC children consumed fruit compared with low- or high-income nonparticipating children aged 12–47.9 mo2. No significant difference in vegetable consumption across WIC participation (P > 0.05) 15. Guthrie et al., 2018 (36)**
Local (grocery stores in 7 low-income communities in the northern Great Plains region) WIC grocery shoppers WIC-eligible or ineligible nonparticipants FV consumption3 (daily servings: scores from 1 = 0 serving to 10 = >8 servings) Positive but nonsignificant relation between WIC participation and FV consumption (P > 0.05) 16. Chang et al., 2015 (39)**
III. Individual factors Local (Los Angeles County, CA) WIC children living in the USA <10 y (36–60 mo)  WIC children of Hispanic immigrants living in USA ≥10 y and Hispanic US-born parents FV intake3 (servings/d) [fruit juice assessed separately] 1. Children of Hispanic immigrants (living in the USA <10 y) consumed significant ↓ FV than children of Hispanic immigrants (living in USA ≥10 y)2. Children of Hispanic immigrants (living in the USA <10 y) consumed significant ↓ vegetables than children of Hispanic US-born parents 17. Chaparro et al., 2015 (40)***
Local (WIC clinic in Birmingham, AL) WIC participants (women), regular CVV redeemers Low CVV redeemers FV intake3 (servings/d) [fruit juice assessed separately] Regular CVV redeemers consumed significant ↑ daily servings of FVs compared with low CVV redeemers 18. Singleton et al., 2018 (47)***
Local (WIC clinic in urban New Jersey) WIC participants (Hispanic women) WIC non-Hispanic and US-born Hispanic women FV intake frequency3 (times/d) [100% fruit juice assessed separately] 1. Race/ethnicity was significant predictor of vegetable intake (e.g., Hispanic women consumed ↑ orange-colored vegetables compared with non-Hispanic black women)2. Hispanic origin and birth place significant predictors of vegetable intake among Hispanics (e.g., foreign-born consumed ↑ orange-colored vegetables compared with US- born) 19. Di Noia et al., 2015 (41)***
Local (2 WIC clinics in Atlanta, GA) WIC mothers and their oldest children Within-group comparison FV intake3 (servings/d; indicator of >5 servings/d) [fruit juice assessed separately] 1. “Already eat plenty of FV” significant ↓ FV consumption in mothers and oldest children2. “Knowing FV often spoil before eating” significant ↑ FV consumption among mothers3. “Not knowing how to prepare most FV” significant ↑ FV consumption in mothers4. “Concerned about money” significant ↑ FV consumption in oldest children 20. Chen and Gazmararian, 2014 (43)**
Local (WIC clinic in Milwaukee, WI) WIC parents/caregivers Within-group comparison FV purchases3 (times/wk) and FV type consumed3 (type) [juice assessed separately] 1. 89% of participants redeemed CVVs regularly and 39% of participants bought FVs less than once a week2. 96% of participants consumed raw, boiled, and steamed vegetables 21. Kharofa et al., 2014 (48)**
Local (WIC clinic in urban New Jersey) WIC women Within-group comparison FV intake3 (cups/d) and consumption frequency3 (times/d) [100% fruit juice assessed separately] 1. Significant positive association between social desirability trait and daily vegetable consumption frequency among nonbreastfeeding women 22. Di Noia et al., 2016 (44)**
Local (2 WIC clinics in Phoenix, AZ) WIC women or mothers of WIC children Within-group comparison CVV redemption3 Perceived facilitators and barriers for FV redemption:1. Positive experiences and facilitators:
  • Flexibility of CVV benefits

  • Inclusion of fresh and processed FV

2. Barriers:
  • Negative interactions with cashier or other shoppers

  • Cashiers’ lack of training

  • Varying enforcement of WIC rules across stores

  • Embarrassed to be identified as using WIC CVV benefits

23. Bertmann et al., 2014 (42)**
Local (Hartford, CT) WIC-eligible pregnant women Within-group comparison Prenatal FV intake3 10 factors related to prenatal FV intake (social support, family structure, FV access, FV preferences, FV knowledge, FV health outcome expectations, self-efficacy, intentions, FV action/coping planning strategies, maternal health status) 24. Hromi-Fiedler et al., 2016 (45)**
Local (Tulare, Alameda, and Riverside counties, CA) WIC participants Within-group comparison FV purchase decision3 Ranking of perceived factors affecting FV purchase decisions from most important to least important: highest quality produce; can see, smell, touch before buying; best bargains on produce; convenience; clearly displayed prices 25. Kaiser et al., 2015 (46)*
IV. Farmers’ markets State (California) WIC households WIC households redeemed at a full-line grocery CVV full redemption4 Probability of CVV full redemption was 99.1% at farmers’ markets compared with 66.8% at a full-line grocery with 6–9 cash registers 26. Saitone et al., 2018 (54)**
Local (WIC clinics in Birmingham, AL) WIC women Within-group comparison FV intake3 (servings/d) 1. Farmer-to-consumer (FTC) retail outlet usage associated with significant ↑ FV daily intake and significant ↑ odds of consuming ≥5 servings/d among WIC women 27. Singleton et al., 2016 (49)***
Local (2 WIC clinics Atlanta, GA) WIC FMNP participants (women and their children) WIC non-FMNP participants (women and their children) FV intake frequency3 (times/d) 1. No significant difference on FV intake of mothers and children detected between FMNP groups and non-FMNP groups (P > 0.05) 28. Stallings et al., 2016 (51)***
Local (WIC clinic in Urbana, IL) WIC FMNP participants WIC non-FMNP participants FV intake3 (eaten as snacks and servings/d) 1. Significant ↑ participants receiving FMNP vouchers eating vegetables as snacks and eating >1 vegetable daily compared with those not receiving the voucher2. No significant difference in fruit intake, citrus fruit, or juice, between the voucher and nonvoucher group (P > 0.05) 29. Wheeler and Chapman-Novakofski, 2014 (52)**
Local (WIC clinic in Birmingham, AL) WIC FITC outlet women users WIC non-FTC outlet women users FV intake3 (≥5 servings/d) [fruit juice assessed separately] Significant ↑ % of FTC outlet users consuming ≥5 servings FVs per day compared with nonusers 30. Singleton et al., 2017 (50)**
Local (WIC clinic in urban New Jersey) WIC women Within-group comparison FV purchase at farmers’ markets3 Usage1. Barriers:
  • Transportation

  • Not knowing market location

  • Market barriers

  • Time constraints

  • FMNP limitations (access, availability, and utilizing vouchers)

  • Unhealthy diet habits

2. Facilitators:
  • Convenience

  • Variety of FVs

  • Information about healthy eating

  • FV incentives

31. Di Noia et al., 2017 (53)**
V. Store- and clinic-level factors State (New Jersey) WIC participants Within-group comparison CVV complete redemption,4 defined as redemption rate ≥90% Minimum stocking of FVs in stores; significant but small ↑ (10%) in the odds of complete CVV redemption after the policy change 32. Okeke et al., 2017 (55)**
State (212 WIC clinics in Washington state) WIC nontribal clinics Tribal WIC clinics CVV redemption4 Nontribal WIC clinics had significant ↑ CVVs redeemed compared with tribal WIC clinics 33. McLaury et al., 2016 (56)**
Local (Chelsea, MA) Corner store adult customers (WIC participants and nonparticipants) Control stores WIC CVV sale at store level4 ($/mo) and % of customer who purchased fresh FVs3 1. WIC CVV sales significantly ↑ in intervention stores with improved visibility and quality of FVs compared with control stores 2. Nonsignificant ↑ in the proportion of WIC participants who purchased fresh FVs in intervention stores compared with control stores (P = 0.11) 34. Thorndike et al., 2017 (57)**
VI. Program intervention State (California) WIC women or caregivers of children Within-group comparison FV intake frequency3 (times/d) and self-reporting eating more FVs3 [100% fruit juice assessed separately] 1. ↑ % of participants reported their family having more fruit intake after nutrition education curriculum state-wide implementation, but no significant difference in eating more vegetables (P = 0.31)2. Significant ↓ in vegetable mean frequency intake for respondents after education, but not significant for fruit (P = 0.97) 35. Ritchie et al., 2010 (61)***
Local (rural, Mexican heritage households in California's Central Valley) Prior or current WIC participants Within-group comparison FV expenditure4 and frequency share by FV food groups4 With an additional FV voucher ($25/mo/household):1. Fruit expenditure constitutes 55% of the spending but 45% of the frequency share2. Low % of mean expenditure share on dark-green and/or red and orange vegetables 36. Hanbury et al., 2017 (60)***
National (school food authorities in Cherokee Nation and Chickasaw Nation and 8 states) WIC children Respondents in SNAP benefit model FV intake3 (cup-equivalent/d) including fruit juice and vegetable juice FV consumption among respondents in WIC benefit model 2 times ↑ compared with that in SNAP benefit model 37. Briefel et al., 2018 (58)**
Local (WIC clinic in urban New Jersey) WIC Fresh Start (WFS) women WFS nonparticipant women FV intake3 (cups/d) [fruit juice included] WFS participating women consumed significantly ↑ fruit and ↓ vegetables compared with WIC participants nationwide 38. Di Noia et al., 2016 (59)**
VII. FV prices National WIC participants Within-group comparison Purchasing power of CVV4 Purchasing power of CVV varied across regions 39. Çakır et al., 2018 (62)***

1CVV, cash value voucher; FMNP, Farmers’ Market Nutrition Program; FTC, farm-to-consumer; FV, fruit and vegetables; HEI, Healthy Eating Index; SNAP, Supplemental Nutrition Assistance Program; WFS, WIC Fresh Start; WIC, Special Supplemental Nutrition Program for Women, Infants, and Children.

2*** = good quality; ** = fair quality; * = poor quality.

3Self-reported outcome variable.

4Measured outcome variable.