| Literature DB >> 28390403 |
Rebecca A Seguin1, Emily H Morgan2, Karla L Hanson2, Alice S Ammerman3,4, Stephanie B Jilcott Pitts5, Jane Kolodinsky6,7, Marilyn Sitaker8, Florence A Becot6, Leah M Connor2, Jennifer A Garner2, Jared T McGuirt3,4.
Abstract
BACKGROUND: Childhood obesity persists in the United States and is associated with serious health problems. Higher rates of obesity among children from disadvantaged households may be, in part, attributable to disparities in access to healthy foods such as fruits and vegetables. Community supported agriculture can improve access to and consumption of fresh produce, but the upfront payment structure, logistical barriers, and unfamiliarity with produce items may inhibit participation by low-income families. The aim of this project is to assess the impact of subsidized, or "cost-offset," community supported agriculture participation coupled with tailored nutrition education for low-income families with children. METHODS/Entities:
Keywords: Childhood obesity; Community supported agriculture; Diet; Fruit and vegetables; Local agriculture; Local food system; Nutrition
Mesh:
Year: 2017 PMID: 28390403 PMCID: PMC5385092 DOI: 10.1186/s12889-017-4202-2
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Project objectives
| 1. Examine whether CO-CSAs coupled with tailored nutrition education improve dietary intake and quality among children aged 2–12 in low-income households; |
| 2. Examine the influence of CO-CSAs and tailored education on attitudes and behaviors related to nutrition, meal planning, and meal preparation; |
| 3. Contrast CSA models to understand if and how variability in operational characteristics affect participation and intervention effectiveness in low-income families with children; |
| 4. Estimate the economic impact of a CO-CSA program on the local economy; |
| 5. Evaluate options for farmers to sustain the CO-CSA, and work with an advisory board, extension, and other stakeholders (e.g. CSA networks) to disseminate findings through development of a toolkit and related electronic resources to maximize impact; and |
| 6. Develop and evaluate short-course modules and lectures for undergraduate and graduate students related to local food system innovations that are synergistic with the goal of obesity prevention and designed to enhance human capital relevant to U.S. agriculture. |
Participant groups and data collection methods to be used during formative research in New York, North Carolina, Vermont, and Washington
| Study participants | Data collection method / tool to be administered |
|---|---|
| CSA farmers | |
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| • In-depth interviews covering farm and CSA operations, marketing strategies, customer profiles, most popular produce offerings, views on accepting SNAP/EBT, lessons learned, and experience using (or thoughts related to) the following options for subsidizing CSAs: work shares, sliding scales, donations, fundraising, grants, and revolving loans |
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| • In-depth interviews covering farm and CSA operations, marketing strategies, customer profiles, most popular produce, views on accepting SNAP/EBT, interest in implementing a CO-CSA, opinions on options for subsidizing CSAs, including work shares, sliding scales, donations, fundraising, grants, and revolving loans |
| Low-income households | |
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| • In-depth interview covering eating and cooking habits, perceptions of healthy foods, community supports for healthy eating, children’s preferences for types of fruits and vegetables, child snacking, tools needed to prepare produce, children’s involvement in food preparation, thoughts on local farms and farmers, knowledge of seasonal produce, CO-CSA program thoughts and preferences, and what would make it easier or more challenging to participate in a CO-CSA program |
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| • Semi-structured interview covering fruit and vegetable familiarity and preferences, involvement in meal preparation, snacking habits, family and peer influences, nutrition knowledge and skills obtained through school or community, experiences with gardening and farms, and knowledge of seasonal produce |
| Full-paying CSA members | • In-depth interview covering views on features of their CSA, CSA preferences, factors that influence their participation, child involvement in CSAs, food shopping preferences, opinions on food assistance programming for limited income families, willingness to help offset the price of CSA shares, and thoughts on CSA cost-offset strategies including: SNAP use, workshares, donations, fundraising, and grants |
| Community health educators | • Online survey with questions about their professional experience and demographic characteristics, fruits and vegetables that are familiar and appealing to low-income families in their communities, their work related to local foods promotion, and nutrition education programs that their organizations offer to low-income families |
Abbreviations: BRFSS Behavioral Risk Factor Surveillance System; CSA Community Supported Agriculture; CO-CSA Cost-offset Community Supported Agriculture; EBT Electronic Benefits Transfer; SNAP Supplemental Nutrition Assistance Program
Delayed intervention design for component 4 (randomized trial)
| Year 2 | Year 3 | Year 4 | |
|---|---|---|---|
| Group 1 – intervention | CO-CSA + Education | CO-CSA | Sustainability |
| Group 2 – control | Data collection only | CO-CSA + Education | CO-CSA |
| Group 3 – intervention | CO-CSA + Education | Sustainability | |
| Group 4 – control | Data collection only | CO-CSA + Education |
Fig. 1Flow of participants in component 4 (randomized trial) from recruitment through the end of the study
Primary and secondary outcome measures for component 4 (randomized trial)
| Outcome | Measure | Source/Instrument |
|---|---|---|
| Primary outcomes | ||
| Child’s fruit and vegetable intake | • Fruit and vegetable screener | • National Cancer Institute’s All-Day Fruit and Vegetable Screener [ |
| • Three dietary recalls | • Automated Self-Administered 24-h dietary recall (ASA24–2016™) [ | |
| Child’s intake of sugar-sweetened beverages and processed snacks | • Beverage and snacks questionnaire | • Beverage and snack questionnaire 2 (BSQ2) [ |
| • Three dietary recalls | • Automated Self-Administered 24-h dietary recall (ASA24–2016™) [ | |
| Child’s caloric intake as a percent of estimated energy requirements | • Three dietary recalls | • Automated Self-Administered 24-h dietary recall (ASA24–2016™) [ |
| Child’s dermal carotenoid levels | • Resonance Raman spectroscopy (RRS) of the palm | • Pharmanex Biophotonic Scanner S3 (NuSkin, Provo, UT) |
| Child’s diet quality | • Three dietary recalls | • Automated Self-Administered 24-h dietary recall (ASA24–2016™) [ |
| • Fruit and vegetable screener | • National Cancer Institute’s All-Day Fruit and Vegetable Screener [ | |
| • Beverage and snacks questionnaire | • Beverage and snack questionnaire 2 (BSQ2) [ | |
| Secondary outcomes | ||
| Child’s BMI percentile | • Height and weight measured by trained research staff | • Lohman [ |
| Child’s physical activity | • Questionnaire questions | • Burdette et al. [ |
| Child’s sedentary behavior | • Questionnaire questions | • Youth Risk Behavior Surveillance System (YRBSS) questionnaire [ |
| Caregiver’s knowledge, attitudes, and beliefs about fruits and vegetables | • Questionnaire module | • Negative Cooking Attitude scale [ |
| Caregiver’s ability to select, store, and prepare CSA produce | • Questionnaire module | • Cooking Techniques and Meal Preparation Self-Efficacy Scale [ |
| Caregiver’s ability to substitute fruit and vegetables for energy-dense foods | • Questionnaire module | • Original |
| Caregiver’s ability to prepare foods to minimize added (solid) fat and sugar | • Questionnaire module | • Original |
| Availability and accessibility of fruits and vegetables in the home | • Questionnaire module | • Scales for fruit and vegetable availability and accessibility within the home [ |
| Caregiver’s fruit and vegetable intake | • Fruit and vegetable screener | • National Cancer Institute’s All-Day Fruit and Vegetable Screener [ |
| Caregiver’s intake of sugar-sweetened beverages and processed snacks | • Beverage and snacks questionnaire | • Beverage and snack questionnaire 2 (BSQ2) [ |
| Caregiver’s dermal carotenoid levels | • Resonance Raman Spectroscopy (RRS) of the palm | • Pharmanex Biophotonic Scanner S3 (NuSkin, Provo, UT) |
| Household food security | • Questionnaire module | • US Department of Agriculture 6-item Food Security Module with 30-day reference period [ |
aIndicates the tool was modified or adapted
Data collection schedule: component 4 (randomized trial)
| Assessments | Baseline | Fall | Spring |
| Informed consent form |
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| Physical measurements | |||
| Anthropometric measures (child) |
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| Dermal carotenoid measures (caregiver and child) |
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| Dietary recalls (child) |
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| Online questionnaire modules | |||
| Brief dietary measures (caregiver and child) |
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| Fruit and vegetable knowledge attitudes, and beliefs (caregiver) |
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| Ability to select, store, and prepare CSA produce (caregiver) |
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| Ability to substitute fruit and vegetables for energy-dense foods (caregiver) |
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| Ability to prepare foods to minimize added (solid) fat and sugar (caregiver) |
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| Fruit and vegetable availability and accessibility within the home (household) |
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| Food security (household) |
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| Nutrition assistance and education participation (household) |
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| Physical activity and sedentary behavior measures (child) |
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| General health status (caregiver and child) |
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| Costs associated with food purchasing and preparation (household) |
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| Costs associated with CO-CSA participation (household) |
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| Kitchen inventory (household) |
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| Household composition and demographics |
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| CSA participation (outside of/in addition to the research study; household) |
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| Year 2 | Year 3 | Year 4 | |
| Process evaluation | |||
| Program evaluation | |||
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| Dose received |
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| Fidelity |
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| Experiences |
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| Program cost |
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| Non-participation |
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aSubset of participants