Effect of Brief Produce Exposure and Unconstrained Grocery Gift Cards on Caregiver Influence on Diet of Elementary Age Children: A Randomized Clinical Trial

Maninder K Kahlon, Nazan S Aksan, Rhonda Aubrey, Jenn Barnes, Nicole Clark, Maria Cowley-Morillo, Lindsey Engelman, Julia Guerra, Alejandro Guevara, Allison Marshall, Deanna M Hoelscher, Maninder K Kahlon, Nazan S Aksan, Rhonda Aubrey, Jenn Barnes, Nicole Clark, Maria Cowley-Morillo, Lindsey Engelman, Julia Guerra, Alejandro Guevara, Allison Marshall, Deanna M Hoelscher

Abstract

Importance: Children's diets affect health trajectories but are difficult to influence, especially for resource-constrained families.

Objective: To assess the effectiveness of providing 4 weeks of grocery gift cards and small produce boxes to caregivers on their ability to support healthy shifts in children's diets.

Design, setting, and participants: This 2-group randomized clinical trial was conducted from May to July 2021, with 4 weeks of intervention and follow-up at 8 weeks. Resources were provided curbside at 3 schools, 3 housing sites, and 1 after-school site for use at home. Participants consisted of 1 index child ages 5 to 11 years with 1 index caregiver from 68 low-income families. Data were analyzed from July 2021 through March 2022.

Interventions: During each week for 4 weeks, caregivers were offered 10-lb (4.5 kg) boxes of fruits and vegetables, $10.00 grocery gift cards, an additional $10.00 gift card over the last 3 weeks triggered by a task completion, and a 1-time choice of a $25.00 food preparation tool.

Main outcomes and measures: Index child and caregiver diets were measured together over the phone at baseline, 4 weeks, and 8 weeks using the 2019 to 2020 Texas School Physical Activity and Nutrition (SPAN) tool, which measures the number of times food items were eaten over the prior day to report a SPAN Healthy Eating Index (SHEI) score and subscores for specific categories of foods (range, 0-57, with higher scores indicating a more healthful diet).

Results: Among 68 children (mean [SD] age, 8.2 [1.7] years; 35 [51.5%] girls) and caregivers (mean [SD] age, 37.9 [7.9] years; 63 mothers [92.6%]) from primarily low-income families, 26 caregivers were Hispanic or Latino (38.2%), while 18 caregivers were Black (26.4%), 25 caregivers were White (36.7%), and 24 caregivers had more than 1 race (35.3%). Most families were below the federal poverty level (41 of 60 families that reported income [68.3%]). Per participating caregiver, a mean (SD) 2.7 [1.4] fruit and vegetable boxes and $42.35 ($25.46) worth of gift cards were picked up over 4 weeks. Mean (SE) child SPAN SHEI increased from 32.03 (0.62) times/d to 33.75 (0.69) times/d at 4 weeks (ie, postintervention) and 34.03 (0.69) times/d 4 weeks later (ie, at 8 weeks of follow-up). Mean (SE) child fruit and vegetable intake increased from 5.31 (0.47) times/d to 5.78 (0.51) times/d postintervention and 6.03 (0.51) times/d at follow-up. Children in the control group did not have improved diet (overall mean [SE] SHEI: 31.48 [0.58] times/d at baseline, 31.68 [0.54] times/d postintervention, and 31.81 [0.52] times/d at follow-up; mean [SE] fruit and vegetable intake: 5.21 [0.45] times/d at baseline, 4.77 [0.45] times/d postintervention, and 4.68 [0.41] times/d at follow-up). Compared with children in the control group, mean SHEI was increased for children in the intervention group by 2.07 times/d postintervention and 2.23 times/d at follow-up. Improvements as a function of program dose were statistically significant for child SHEI (P = .01) and fruit and vegetable intake (P = .03). No significant changes in caregiver diets were found.

Conclusions and relevance: This study found that easily accessed fruits and vegetables and unconstrained grocery store cards provided directly to caregivers over 4 weeks resulted in improvements in child diet, which were sustained over 4 additional weeks. Future work may investigate whether diet improvement from a brief intervention optimized for caregiver flexibility reflects a natural maximum or potential for greater improvements on extension.

Trial registration: ClinicalTrials.gov Identifier: NCT04827654.

Conflict of interest statement

Conflict of Interest Disclosures: Dr Kahlon reported receiving grants from the Episcopal Health Foundation and Michael and Susan Dell Foundation during the conduct of the study. Dr Hoelscher reported receiving grants from the Michael and Susan Dell Foundation and Texas Department of State Health Services outside the submitted work. No other disclosures were reported.

Figures

Figure 1.. Study Flowchart
Figure 1.. Study Flowchart
Figure 2.. Child Texas School Physical Activity…
Figure 2.. Child Texas School Physical Activity and Nutrition (SPAN) Healthy Eating Index (SHEI) Score Over Time
Means and SEs are presented.

References

    1. Kumanyika SK. A framework for increasing equity impact in obesity prevention. Am J Public Health. 2019;109(10):1350-1357. doi:10.2105/AJPH.2019.305221
    1. Ridberg RA, Bell JF, Merritt KE, Harris DM, Young HM, Tancredi DJ. Effect of a fruit and vegetable prescription program on children’s fruit and vegetable consumption. Prev Chronic Dis. 2019;16(6):E73. doi:10.5888/pcd16.180555
    1. Saxe-Custack A, LaChance J, Jess J, Hanna-Attisha M. Influence of a pediatric fruit and vegetable prescription program on child dietary patterns and food security. Nutrients. 2021;13(8):2619. doi:10.3390/nu13082619
    1. Sharma SV, Markham C, Chow J, Ranjit N, Pomeroy M, Raber M. Evaluating a school-based fruit and vegetable co-op in low-income children: A quasi-experimental study. Prev Med. 2016;91:8-17. doi:10.1016/j.ypmed.2016.07.022
    1. Schlosser AV, Joshi K, Smith S, Thornton A, Bolen SD, Trapl ES. “The coupons and stuff just made it possible”: economic constraints and patient experiences of a produce prescription program. Transl Behav Med. 2019;9(5):875-883. doi:10.1093/tbm/ibz086
    1. Riemer S, Walkinshaw LP, Auvinen A, Marcinkevage J, Daniel M, Jones-Smith JC. Qualitative study on participant perceptions of a supermarket fruit and vegetable incentive program. J Acad Nutr Diet. 2021;121(8):1497-1506. doi:10.1016/j.jand.2020.10.010
    1. Roy KM, Tubbs CY, Burton LM. Don’t have no time: daily rhythms and the organization of time for low-income families. Fam Relat. 2004;53(2):168-178. doi:10.1111/j.0022-2445.2004.00007.x
    1. Marshall AN, Markham C, Ranjit N, Bounds G, Chow J, Sharma SV. Long-term impact of a school-based nutrition intervention on home nutrition environment and family fruit and vegetable intake: a two-year follow-up study. Prev Med Rep. 2020;20:101247. doi:10.1016/j.pmedr.2020.101247
    1. Attree P. Low-income mothers, nutrition and health: a systematic review of qualitative evidence. Matern Child Nutr. 2005;1(4):227-240. doi:10.1111/j.1740-8709.2005.00022.x
    1. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)—a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42(2):377-381. doi:10.1016/j.jbi.2008.08.010
    1. Hager ER, Quigg AM, Black MM, et al. . Development and validity of a 2-item screen to identify families at risk for food insecurity. Pediatrics. 2010;126(1):e26-e32. doi:10.1542/peds.2009-3146
    1. Larsen AL, McArdle JJ, Robertson T, Dunton G. Four dietary items of the School Physical Activity and Nutrition (SPAN) questionnaire form a robust latent variable measuring healthy eating patterns. J Nutr Educ Behav. 2015;47(3):253-258. doi:10.1016/j.jneb.2014.12.005
    1. Landry MJ, Ranjit N, Hoelscher DM, et al. . Validity and reliability of an expanded vegetable questionnaire among elementary school children. Curr Dev Nutr. 2019;3(8):nzz080. doi:10.1093/cdn/nzz080
    1. Penkilo M, George GC, Hoelscher DM. Reproducibility of the School-Based Nutrition Monitoring questionnaire among fourth-grade students in Texas. J Nutr Educ Behav. 2008;40(1):20-27. doi:10.1016/j.jneb.2007.04.375
    1. Thiagarajah K, Fly AD, Hoelscher DM, et al. . Validating the food behavior questions from the elementary school SPAN questionnaire. J Nutr Educ Behav. 2008;40(5):305-310. doi:10.1016/j.jneb.2007.07.004
    1. Hoelscher DM, Day RS, Kelder SH, Ward JL. Reproducibility and validity of the secondary level School-Based Nutrition Monitoring student questionnaire. J Am Diet Assoc. 2003;103(2):186-194. doi:10.1053/jada.2003.50031
    1. Ranjit N, Wilkinson AV, Lytle LM, Evans AE, Saxton D, Hoelscher DM. Socioeconomic inequalities in children’s diet: the role of the home food environment. Int J Behav Nutr Phys Act. 2015;12(1)(suppl 1):S4. doi:10.1186/1479-5868-12-S1-S4
    1. US Department of Agriculture; US Department of Health and Human Services . Dietary Guidelines for Americans, 2020-2025. 9th Edition. US Department of Agriculture; 2020. Accessed January 2, 2022.
    1. Briefel RR, Chojnacki GJ, Gabor V, et al. . A cluster randomized controlled trial of a home-delivered food box on food security in Chickasaw Nation. J Acad Nutr Diet. 2021;121(1S):S46-S58. doi:10.1016/j.jand.2020.07.021
    1. Metcalfe JJ, Prescott MP, Schumacher M, Kownacki C, McCaffrey J. Community-based culinary and nutrition education intervention promotes fruit and vegetable consumption. Public Health Nutr. 2022;25(2):437-449. doi:10.1017/S1368980021003797
    1. Smith E, Sutarso T, Kaye GL. Access with education improves fruit and vegetable intake in preschool children. J Nutr Educ Behav. 2020;52(2):145-151. doi:10.1016/j.jneb.2019.07.016
    1. Buscail C, Margat A, Petit S, et al. . Fruits and Vegetables at Home (FLAM): a randomized controlled trial of the impact of fruits and vegetables vouchers in children from low-income families in an urban district of France. BMC Public Health. 2018;18(1):1065. doi:10.1186/s12889-018-5908-5
    1. Patrick H, Nicklas TA. A review of family and social determinants of children’s eating patterns and diet quality. J Am Coll Nutr. 2005;24(2):83-92. doi:10.1080/07315724.2005.10719448
    1. Choi SE, Seligman H, Basu S. Cost effectiveness of subsidizing fruit and vegetable purchases through the Supplemental Nutrition Assistance Program. Am J Prev Med. 2017;52(5):e147-e155. doi:10.1016/j.amepre.2016.12.013

Source: PubMed

3
Se inscrever