Literature DB >> 22632739

Using mobile fruit vendors to increase access to fresh fruit and vegetables for schoolchildren.

June M Tester1, Irene H Yen, Barbara Laraia.   

Abstract

This study explored the extent to which schoolchildren purchased precut and bagged fruits and vegetables from a mobile fruit vendor (frutero). During 14 days in fall 2008, a frutero sold fruits and vegetables at the entrance of an elementary school; 59% of the frutero's 233 consumers of 248 items were elementary-school students. With each successive day, an average of 1 additional bag of fruits and vegetables was sold by the frutero and 1.5 fewer nonnutritious foods by a competing vendor. Policies encouraging the sale of nutritious foods from mobile food vendors may increase access for schoolchildren.

Entities:  

Mesh:

Year:  2012        PMID: 22632739      PMCID: PMC3457766          DOI: 10.5888/pcd9.110222

Source DB:  PubMed          Journal:  Prev Chronic Dis        ISSN: 1545-1151            Impact factor:   2.830


Objective

Mobile food vendors are sometimes found in Hispanic and African American neighborhoods, often where there are few large food outlets (1,2). Since 2008, the Green Carts program in New York City has provided incentives to vendors to sell whole fruits and vegetables in areas that have limited access to such food (3). There is value in exploring public health strategies that encourage the sale of nutritious food by mobile vendors, including such approaches as broadening the zones and locations in which vendors are permitted to sell (4,5). In Oakland, California, mobile vendors known as fruteros sell fresh, precut, and bagged fruit (6-9). Since 2001, these vendors have complied with city regulations and health codes requiring a central kitchen (9). However, local regulations prohibit mobile food vendors — including these fruteros — from selling near schools and parks (10). Such regulations exist in other cities such as Phoenix, Arizona; San Antonio, Texas; San Diego, California; and San Jose, California (4). We are unaware of any school or city policies that encourage improved food access for schoolchildren through mobile vendors. The objective of this study was to examine the extent to which schoolchildren purchased fruits and vegetables from a frutero after school. Secondary objectives were to compare frutero sales with those of competing vendors and examine the effect of the frutero on the greater mobile vending environment.

Methods

We conducted this pilot intervention outside an elementary school campus (kindergarten through 5th grade) in Oakland, California. During the 2008–2009 academic year, there were 279 students; 41% were Hispanic, 33% were African American, 15% were Asian, less than 1% were white, and 74% were eligible for free or reduced price lunch (11).

Intervention

In October 2008, we obtained school permission for a single frutero to sell fruits (eg, mango) and vegetables (eg, jicama) at the entrance to the school property at the close of each school day. The frutero sold products that had been precut and packaged in a central kitchen into snack-sized bags holding a one-half–cup serving. Bags were chilled with ice and sold for $1.50. We based the design of this intervention on observations of sales at fruteros (2) and with input from the frutero vendor’s association. Neither the school nor the teachers actively promoted this intervention among students. This study was approved by the institutional review board of Children’s Hospital & Research Center Oakland.

Observations of consumers and transactions

Using methods described elsewhere (2), research staff counted consumers at the frutero and at competing vendors within 1 block of the frutero. They characterized consumers according to best guess of race/ethnicity and age and categorized them as preschoolers, elementary school students, teenagers, or adults. They also counted the number of transactions and characterized the type and cost of each item sold at each vendor. Each afternoon for 19 days (5 baseline days, 14 intervention days), at least 3 research staff simultaneously observed all vendors within 1 block of the school entrance, beginning when the school bell rang and ending whenever the vendor left because sales had dwindled.

Observations of nonintervention vendors

To determine whether the presence of the frutero would affect the greater mobile vending environment, we also counted the number of (nonintervention) vendors within a quarter-mile of the school entrance (not including the competing vendors within 1 block). We created a one-quarter–mile network buffer around the school using Arc View 9.2 (ESRI, Redlands, California). Pairs of researchers counted all such vendors on 17 days after school (6 days before, 7 days during, and 4 days after the intervention); they did not observe sales.

Analysis

We conducted linear regression using day of the intervention as a predictor for sales per afternoon of bags of fruits and vegetables at the frutero (1–14 d) and for sales at the competing vendors within 1 block of the frutero (1–19 d) We used Stata 9.2 (StataCorp LP, College Station, Texas).

Results

We found 2 types of competing vendors: an ice cream vendor and a cotton candy vendor. At least 1 competing vendor was present for 12 afternoons (Table 1). Of the frutero’s 233 consumers, 59% were elementary school students; for 27% of frutero transactions, no adults were present (Table 2).
Table 1

Items Sold by a Frutero and Competing Vendors Within a Block of an Elementary School, Oakland, California, 2008

Day Frutero Ice Cream VendorCotton Candy Vendor
Baseline
Day 1NP19NP
Day 2NP153
Day 3NP44NP
Day 4NP32NP
Day 5NP39NP
Intervention
Day 614NPNP
Day 7935NP
Day 8418NP
Day 917241
Day 1017NPNP
Day 1115NPNP
Day 12282NP
Day 132136NP
Day 1415NPNP
Day 1523NPNP
Day 16237NP
Day 1720NPNP
Day 1821NPNP
Day 192117NP

Abbreviations: NP, not present.

Table 2

Transactions, Consumers, and Items Sold by a Frutero and Competing Vendors Within a Block of an Elementary School, Oakland, California, 2008

Variable Frutero Competing Vendors
Transactions
Mean duration of sales (per vendor) per afternoon, min2616
Mean number of vendors per afternoon11.1
Total transactions, n193212
Transactions with children only, n (%)52 (27)76 (36)
Transactions with adults only, n (%)44 (23)21 (10)
Transactions with children and adults, n (%)97 (50)115 (54)
Consumers
Total, n233 266
Female, n (%)151 (65)144 (54)
Male, n (%)82 (35)122 (46)
Age group, n (%)
Preschooler10 (4)14 (5)
Elementary school student138 (59) 193 (73)
Teenager9 (4)7 (3)
Adult74 (32)48 (18)
Observer unsure of age group2 (1)4 (1)
Race/ethnicity of elementary school students, a n (%)
Hispanic75 (54)113 (59)
African American50 (36)44 (23)
Asian13 (9)2 (1)
White024 (12)
Observer unsure of race/ethnicity010 (5)
Items sold
Total, n248292
Items sold per afternoon, mean (range), n18 (4–28)24 (2–44)
Cost per item, mean (SD), $1.50 (0)1.13 (0.24)
Items sold per minute, n0.81.5

Abbreviation: SD, standard deviation.

a The race/ethnicity of the school population was 41% Hispanic, 33% African American, 15% Asian, and <1% white.

Abbreviations: NP, not present. Abbreviation: SD, standard deviation. a The race/ethnicity of the school population was 41% Hispanic, 33% African American, 15% Asian, and <1% white. The frutero sold an average of 17.7 bags of fruits and vegetables each afternoon during an average of 26 minutes of sales, and for the last 5 days of observation, at least 20 bags were sold each afternoon. Overall, the frutero sold 248 bags during 324 minutes of observed sales (an approximate rate of 0.8 bags per minute) (Table 1). A β coefficient of 0.95 (P < .001) for frutero sales suggests 1 additional bag was sold on each successive day; a β coefficient of −1.48 (P = .02) for sales of competing vendors suggests 1.5 fewer nonnutritious items were sold on each successive day. We completed quarter-mile buffer observations in an average of 12.8 minutes. The mean number of nonintervention vendors decreased: 2.3 (range, 0–4; standard deviation [SD], 1.3) before, 1.4 (range, 0–3; SD, 1.1) during, and 0.8 (range, 0–2; SD, 0.9) after the intervention.

Conclusion

Fruteros are found in neighborhoods that have a high density of Hispanic immigrants; children and adults buy precut fruits and vegetables from these vendors even in the presence of other vendors selling nonnutritious options (2). Students in our study also made purchases on their own. The number items sold by fruteros per minute in our study was higher than that previously observed in the community (0.4 items per min) (2). This study has limitations. It was a brief intervention at a single school. We cannot confirm that children purchased fruits and vegetables instead of high-calorie energy-dense snacks; future research on how “healthy” mobile vendors affect overall consumption is warranted. By study end, we found fewer competing vendors, perhaps because of competition from the frutero, who had a prime location, or perhaps because the other vendors, who are not permitted to sell near the school, were concerned about scrutiny. We demonstrated the feasibility of a sanctioned vendor to sell nutritious food items after school and suggest that the presence of this vendor may decrease sales at vendors selling less healthful items. Interventions like ours have the potential to increase access to healthful food to children in the after-school environment.
  4 in total

Review 1.  Street foods in America--a true melting pot.

Authors:  D S Taylor; V K Fishell; J L Derstine; R L Hargrove; N R Patterson; K W Moriarty; B A Battista; H E Ratcliffe; A E Binkoski; P M Kris-Etherton
Journal:  World Rev Nutr Diet       Date:  2000       Impact factor: 0.575

2.  An analysis of public health policy and legal issues relevant to mobile food vending.

Authors:  June M Tester; Stephanie A Stevens; Irene H Yen; Barbara L Laraia
Journal:  Am J Public Health       Date:  2010-09-23       Impact factor: 9.308

3.  Measuring food availability and access in African-American communities: implications for intervention and policy.

Authors:  Angela M Odoms-Young; Shannon Zenk; Maryann Mason
Journal:  Am J Prev Med       Date:  2009-04       Impact factor: 5.043

4.  Mobile food vending and the after-school food environment.

Authors:  June M Tester; Irene H Yen; Barbara Laraia
Journal:  Am J Prev Med       Date:  2010-01       Impact factor: 5.043

  4 in total
  10 in total

1.  Mobile food vendors in urban neighborhoods-implications for diet and diet-related health by weather and season.

Authors:  Sean C Lucan; Andrew R Maroko; Joel Bumol; Monica Varona; Luis Torrens; Clyde B Schechter
Journal:  Health Place       Date:  2014-03-12       Impact factor: 4.078

2.  Assessing mobile food vendors (a.k.a. street food vendors)--methods, challenges, and lessons learned for future food-environment research.

Authors:  S C Lucan; M Varona; A R Maroko; J Bumol; L Torrens; J Wylie-Rosett
Journal:  Public Health       Date:  2013-07-25       Impact factor: 2.427

3.  A multi-level intervention in subsidized housing sites to increase fruit and vegetable access and intake: Rationale, design and methods of the 'Live Well, Viva Bien' cluster randomized trial.

Authors:  Kim M Gans; Gemma Gorham; Patricia M Risica; Akilah Dulin-Keita; Laura Dionne; Tina Gao; Sarah Peters; Ludovica Principato
Journal:  BMC Public Health       Date:  2016-06-28       Impact factor: 3.295

4.  Macronutrient composition of street food in Central Asia: Bishkek, Kyrgyzstan.

Authors:  Gabriela Albuquerque; Inês Lança de Morais; Marcello Gelormini; Sofia Sousa; Susana Casal; Olívia Pinho; Pedro Moreira; João Breda; Nuno Lunet; Patrícia Padrão
Journal:  Food Sci Nutr       Date:  2020-08-20       Impact factor: 2.863

5.  Nutritional Content of Street Food and Takeaway Food Purchased in Urban Bosnia and Herzegovina.

Authors:  Sofia Sousa; Inês Lança de Morais; Gabriela Albuquerque; Marcello Gelormini; Mariana Santos; Aida Filipović-Hadžiomeragić; Dragana Stojisavljevic; Albertino Damasceno; Pedro Moreira; João Breda; Nuno Lunet; Patrícia Padrão
Journal:  Foods       Date:  2021-10-27

6.  Patterns of Street Food Purchase in Cities From Central Asia.

Authors:  Sofia Sousa; Inês Lança de Morais; Gabriela Albuquerque; Marcello Gelormini; Susana Casal; Olívia Pinho; Carla Motta; Albertino Damasceno; Pedro Moreira; João Breda; Nuno Lunet; Patrícia Padrão
Journal:  Front Nutr       Date:  2022-06-24

7.  Street Food and Takeaway Food Purchasing Patterns in Bosnia and Herzegovina.

Authors:  Sofia Sousa; Inês Lança de Morais; Gabriela Albuquerque; Marcello Gelormini; Aida Filipović-Hadžiomeragić; Dragana Stojisavljevic; Albertino Damasceno; Pedro Moreira; João Breda; Nuno Lunet; Patrícia Padrão
Journal:  Int J Environ Res Public Health       Date:  2022-07-26       Impact factor: 4.614

8.  Determinants of dietary patterns in school going adolescents in Urban Zambia.

Authors:  Mulenga Mary Mukanu; Peter Delobelle; Anne Marie Thow; Zandile June-Rose Mchiza
Journal:  Front Nutr       Date:  2022-08-25

9.  Outstanding student research: Li et al on investigating the placement of green carts to improve access to healthful foods in food deserts.

Authors:  Samuel F Posner
Journal:  Prev Chronic Dis       Date:  2014-09-11       Impact factor: 2.830

10.  Evaluation of the New York City Green Carts program.

Authors:  Shannon M Farley; Rachel Sacks; Rachel Dannefer; Michael Johns; Margaret Leggat; Sungwoo Lim; Kevin Konty; Cathy Nonas
Journal:  AIMS Public Health       Date:  2015-12-24
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.