Evaluation of a Distribution Model to Increase Access to Affordable Fruits and Vegetables.

Introduction: Identifying effective, sustainable strategies to increase fruit and vegetable consumption is critical to addressing chronic disease risk. Models that provide incentives for produce purchases through reduced-cost or no-cost produce shares are promising. The purpose of our study was to examine the impact on fruit and vegetable intake of Good Food for All, a community-based program to distribute no-cost produce boxes to participants with low incomes. We also assessed program satisfaction and future interest in purchasing an affordable produce box.

Methods: The Good Food for All program was implemented in 22 US cities. Surveys were administered at baseline and postintervention. An online research panel was used as a comparison group and weighted to be demographically comparable to the intervention group. Descriptive statistics and adjusted difference-in-difference (ADID) models were used to examine differences in outcomes between groups.

Results: Respondents (intervention n = 632; comparison n = 1,153) were primarily White, non-Hispanic, and female. Intervention participants had a greater increase in total fruit consumption frequency (ADID: 0.43 times/d; 95% CI, 0.21-0.64; P < .001), total vegetable consumption frequency (ADID: 0.52 times/d; 95% CI, 0.12-0.91; P = .01), and total fruit and vegetable consumption frequency (ADID: 1.03 times/d; 95% CI, 0.49-1.56; P < .001) than comparison respondents. Most intervention participants reported boxes contained the right amount of food (71.9%) and high-quality produce (68.4%) and were willing to purchase a future produce box (85.0%).

Conclusion: Findings indicate that a produce box distribution model increased fruit and vegetable consumption, had high satisfaction among participants, and generated interest in purchasing affordable produce boxes. Future studies should explore feasibility of offering low-cost produce boxes at grocery stores and determine appropriate pricing models to enhance access and sustainability.