Alison Gustafson

Farmers’ market use is associated with fruit and vegetable consumption in diverse southern rural communities

BackgroundWhile farmers’ markets are a potential strategy to increase access to fruits and vegetables in rural areas, more information is needed regarding use of farmers’ markets among rural residents. Thus, this study’s purpose was to examine (1) socio-demographic characteristics of participants; (2) barriers and facilitators to farmers’ market shopping in southern rural communities; and (3) associations between farmers’ market use with fruit and vegetable consumption and body mass index (BMI).MethodsCross-sectional surveys were conducted with a purposive sample of farmers’ market customers and a representative sample of primary household food shoppers in eastern North Carolina (NC) and the Appalachian region of Kentucky (KY). Customers were interviewed using an intercept survey instrument at farmers’ markets. Representative samples of primary food shoppers were identified via random digit dial (RDD) cellular phone and landline methods in counties that had at least one farmers’ market. All questionnaires assessed socio-demographic characteristics, food shopping patterns, barriers to and facilitators of farmers’ market shopping, fruit and vegetable consumption and self-reported height and weight. The main outcome measures were fruit and vegetable consumption and BMI. Descriptive statistics were used to examine socio-demographic characteristics, food shopping patterns, and barriers and facilitators to farmers’ market shopping. Linear regression analyses were used to examine associations between farmers’ market use with fruit and vegetable consumption and BMI, controlling for age, race, education, and gender.ResultsAmong farmers’ market customers, 44% and 55% (NC and KY customers, respectively) reported shopping at a farmers’ market at least weekly, compared to 16% and 18% of NC and KY RDD respondents. Frequently reported barriers to farmers’ market shopping were market days and hours, “only come when I need something”, extreme weather, and market location. Among the KY farmers’ market customers and NC and KY RDD respondents, fruit and vegetable consumption was positively associated with use of farmers’ markets. There were no associations between use of farmers’ markets and BMI.ConclusionsFruit and vegetable consumption was associated with farmers’ market shopping. Thus, farmers’ markets may be a viable method to increase population-level produce consumption.

Measures of the Consumer Food Store Environment: A Systematic Review of the Evidence 2000–2011

Description of the consumer food environment has proliferated in publication. However, there has been a lack of systematic reviews focusing on how the consumer food environment is associated with the following: (1) neighborhood characteristics; (2) food prices; (3) dietary patterns; and (4) weight status. We conducted a systematic review of primary, quantitative, observational studies, published in English that conducted an audit of the consumer food environment. The literature search included electronic, hand searches, and peer-reviewed from 2000 to 2011. Fifty six papers met the inclusion criteria. Six studies reported stores in low income neighborhoods or high minority neighborhoods had less availability of healthy food. While, four studies found there was no difference in availability between neighborhoods. The results were also inconsistent for differences in food prices, dietary patterns, and weight status. This systematic review uncovered several key findings. (1) Systematic measurement of determining availability of food within stores and store types is needed; (2) Context is relevant for understanding the complexities of the consumer food environment; (3) Interventions and longitudinal studies addressing purchasing habits, diet, and obesity outcomes are needed; and (4) Influences of price and marketing that may be linked with why people purchase certain items.

Food venue choice, consumer food environment, but not food venue availability within daily travel patterns are associated with dietary intake among adults, Lexington Kentucky 2011

ObjectiveThe retail food environment may be one important determinant of dietary intake. However, limited research focuses on individuals’ food shopping behavior and activity within the retail food environment. This study’s aims were to determine the association between six various dietary indicators and 1) food venue availability; 2) food venue choice and frequency; and 3) availability of healthy food within food venue.MethodsIn Fall, 2011, a cross-sectional survey was conducted among adults (n=121) age 18 years and over in Lexington, Kentucky. Participants wore a global position system (GPS) data logger for 3-days (2 weekdays and 1 weekend day) to track their daily activity space, which was used to assess food activity space. They completed a survey to assess demographics, food shopping behaviors, and dietary outcomes. Food store audits were conducted using the Nutrition Environment Measurement Survey-Store Rudd (NEMS-S) in stores where respondents reported purchasing food (n=22). Multivariate logistic regression was used to examine associations between six dietary variables with food venue availability within activity space; food venue choice; frequency of shopping; and availability of food within food venue.Results1) Food venue availability within activity space – no significant associations. 2) Food Venue Choice – Shopping at farmers’ markets or specialty grocery stores reported higher odds of consuming fruits and vegetables (OR 1.60 95% CI [1.21, 2.79]). Frequency of shopping - Shopping at a farmers’ markets and specialty stores at least once a week reported higher odds of consumption of fruits and vegetables (OR 1.55 95% CI [1.08, 2.23]). Yet, shopping frequently at a super market had higher odds of consuming sugar-sweetened beverages (OR 1.39 95% CI [1.03, 1.86]). 3) Availability of food within store – those who shop in supermarkets with high availability of healthy food has lower odds of consuming sugar-sweetened beverages (OR 0.65 95% CI [0.14, 0.83]).ConclusionInterventions aimed at improving fruit and vegetable intake need to consider where individuals’ purchase food and the availability within stores as a behavioral and environmental strategy.

Validation of food store environment secondary data source and the role of neighborhood deprivation in Appalachia, Kentucky

BackgroundBased on the need for better measurement of the retail food environment in rural settings and to examine how deprivation may be unique in rural settings, the aims of this study were: 1) to validate one commercially available data source with direct field observations of food retailers; and 2) to examine the association between modified neighborhood deprivation and the modified retail food environment score (mRFEI).MethodsSecondary data were obtained from a commercial database, InfoUSA in 2011, on all retail food outlets for each census tract. In 2011, direct observation identifying all listed food retailers was conducted in 14 counties in Kentucky. Sensitivity and positive predictive values (PPV) were compared. Neighborhood deprivation index was derived from American Community Survey data. Multinomial regression was used to examine associations between neighborhood deprivation and the mRFEI score (indicator of retailers selling healthy foods such as low-fat foods and fruits and vegetables relative to retailers selling more energy dense foods).ResultsThe sensitivity of the commercial database was high for traditional food retailers (grocery stores, supermarkets, convenience stores), with a range of 0.96-1.00, but lower for non-traditional food retailers; dollar stores (0.20) and Farmer’s Markets (0.50). For traditional food outlets, the PPV for smaller non-chain grocery stores was 38%, and large chain supermarkets was 87%. Compared to those with no stores in their neighborhoods, those with a supercenter [OR 0.50 (95% CI 0.27. 0.97)] or convenience store [OR 0.67 (95% CI 0.51, 0.89)] in their neighborhood have lower odds of living in a low deprivation neighborhood relative to a high deprivation neighborhood.ConclusionThe secondary commercial database used in this study was insufficient to characterize the rural retail food environment. Our findings suggest that neighborhoods with high neighborhood deprivation are associated with having certain store types that may promote less healthy food options.

Neighbourhood and consumer food environment is associated with dietary intake among Supplemental Nutrition Assistance Program (SNAP) participants in Fayette County, Kentucky.

OBJECTIVE The aim of the study was to determine the association between dietary outcomes and the neighbourhood food environment (street network distance from home to stores) and consumer food environment (Nutrition Environment Measurement Survey-Stores (NEMS-S) audit). DESIGN The neighbourhood food environment was captured by creating 0?5-mile and 1-mile network distance (street distance) around each participant’s home and the nearest food venue (convenience store, grocery store, supermarket, farmers’ market and produce stand). The consumer food environment was captured by conducting NEMS-S in all grocery stores/supermarkets within 0?5 and 1 mile of participants’ homes. SETTING Fayette County, KY, USA. SUBJECTS Supplemental Nutrition Assessment Program (SNAP) participants, n 147. RESULTS SNAP participants who lived within 0?5 mile of at least one farmers’ market/produce stand had higher odds of consuming one serving or more of vegetables (OR56?92; 95% CI 4?09, 11?69), five servings or more of grains (OR51?76; 95% CI 1?01, 3?05) and one serving or more of milk (OR53?79; 95% CI 2?14, 6?71) on a daily basis. SNAP participants who lived within 0?5 mile of stores receiving a high score on the NEMS-S audit reported higher odds of consuming at least one serving of vegetables daily (OR53?07; 95% CI 1?78, 5?31). CONCLUSIONS Taken together, both the neighbourhood food environment and the consumer food environment are associated with a healthy dietary intake among SNAP participants.

Rationale, design, and sample characteristics of a practical randomized trial to assess a weight loss intervention for low-income women: The Weight-Wise II Program

Obesity is common among low-income mid-life women, yet most published weight loss studies have not focused on this population and have been highly resourced efficacy trials. Thus, practical type 2 translational studies are needed to evaluate weight loss interventions for low-income women. In this paper, we present the rationale, study design, and baseline characteristics of a type 2 translational study that evaluates both the processes and outcomes of a weight loss intervention for low-income women given at 6 county health departments in North Carolina. Key features of this study include random selection of study sites, intervention delivery by current staff at study sites, efforts to integrate the intervention with local community resources, a focus on evaluating the processes of translation using the RE-AIM framework, use of an evidence-based weight loss intervention, a detailed description of participant recruitment and representativeness, and a practical randomized trial designed to assess the effectiveness of the intervention. Of 81 health departments invited to participate, 30 (37%) were eligible and willing, and 6 were selected at random to deliver the intervention. Of 432 potential participants screened by phone, 213 (49%) were eligible and of these, 189 (89%) completed baseline measures and were randomized to receive a 5-month weight loss intervention or a delayed intervention. The mean age was 51, mean BMI 37 kg/m(2), 53% were African American, and 43% had no health insurance. The results of this study should be informative to key stakeholders interested in real world weight loss interventions for low-income mid-life women.

Food Store Environment Modifies Intervention Effect on Fruit and Vegetable Intake among Low-Income Women in North Carolina

Background. The aim of the study is to determine how the food store environment modifies the effects of an intervention on diet among low-income women. Study Design. A 16-week face-to-face behavioral weight loss intervention was delivered among low income midlife women. Methods. The retail food environment for all women was characterized by (1) the number and type of food stores within census tracts; (2) availability of healthy foods in stores where participants shop; (3) an aggregate score of self-reported availability of healthy foods in neighborhood and food stores. Statistical Analyses. Multivariable linear regression was used to model the food store environment as an effect modifier between the intervention effect of fruit and vegetable serving change. Results. Among intervention participants with a low perception of availability of healthy foods in stores, the intervention effect on fruit and vegetable serving change was greater [1.89, 95% CI (0.48, 3.31)] compared to controls. Among intervention participants residing in neighborhoods with few super markets, the intervention effect on fruit and vegetable serving change was greater [1.62, 95% CI (1.27, 1.96)] compared to controls. Conclusion. Results point to how the food store environment may modify the success of an intervention on diet change among low-income women.

Translation of a behavioral weight loss intervention for mid-life, low-income women in local health departments

Objective: To translate a behavioral weight loss intervention for mid‐life, low‐income women in real world settings.

Development and Validation of a Farmers’ Market Audit Tool in Rural and Urban Communities:

The number of farmers’ markets in the United States is growing. Although there are tools to analyze food availability at grocery stores, corner stores, and convenience stores, little research exists about the availability of food types at farmers’ markets. This research developed an audit tool to measure the food environment at farmers’ markets in rural and urban food environments and examined its psychometric properties, including face validity, interrater reliability, and discriminant validity. The Farmers’ Market Audit Tool was reviewed by content experts, revised, and then tested in six farmers’ markets by researchers across three states in 2013, including Kentucky, North Carolina, and Montana. Seven food categories were developed, including vegetables, fruits, meats, cheeses, eggs, grains, and samples. Interrater reliability was high within farmers’ market across states. As expected, discriminant validity indicated a systematic disagreement within and between states due to seasonality and ability to grow different types of food across different farmers’ markets. The total scores assessing the healthfulness of each farmers’ market was 38 (range = 28-50). Using the Farmers’ Market Audit Tool at farmers’ markets is a reliable and valid method to capture the availability of food offerings.

Association Between the Retail Food Environment, Neighborhood Deprivation, and County-Level Dietary Outcomes Among Supplemental Nutrition Assistance Program–Education (SNAP-Ed) Recipients in Kentucky, 2010–2011

The term obesity paradox was coined to describe potential associations between Supplemental Nutrition Assistance Program (SNAP) participation, food insecurity, and obesity. The study aimed to examine associations between (1) the retail food environment and macronutrients and (2) neighborhood deprivation and macronutrients. During 2010–2011, 57 Kentucky counties participated in the Supplemental Nutrition Assistance Program for Education (SNAP-Ed; n = 1585 total individuals aggregated at the county level) through the University of Kentucky Cooperative Extension. Dietary data were used to create county-level aggregate mean intake on calories, fat, protein, and carbohydrates. The retail food environment was determined by collecting food venue data from InfoUSA 2011, local health departments, and the Kentucky Department of Agriculture. There was a higher mean aggregate consumption of calories (206.23; 95% confidence interval [CI]: 173.93, 418.25) and fat grams (6.50; 95% CI: 3.04, 10.81) among SNAP-Ed participants in counties with 3 or more gas stations with food marts compared to SNAP-Ed participants in counties with less than 3 gas stations with food marts. County-level availability of certain food venues was associated with county-level aggregate dietary intake among SNAP-Ed participants.