A Produce Prescription Program in Eastern North Carolina Results in Increased Voucher Redemption Rates and Increased Fruit and Vegetable Intake among Participants.

Few produce prescription programs have taken place in rural areas, in the context of existing public health programs. Thus, the purpose of this mixed-methods study was to examine voucher redemption rates, change in fruit and vegetable intake, and suggestions for improvement among participants enrolled in a produce prescription program occurring in existing public health programs throughout rural eastern North Carolina. We examined voucher redemption rates and conducted pre- (n = 125) and post-intervention surveys assessing fruit and vegetable intake. t-tests were used to examine changes in intake pre- versus post-intervention among 50 participants. Participants (n = 32) also completed a semi-structured, telephone interview. Qualitative data were thematically analyzed to determine potential improvements. The overall voucher redemption rate was 52%. There was a 0.29 (standard deviation = 0.91, p = 0.031) cup increase in self-reported fruit intake comparing post- to pre-intervention data. Qualitative analyses indicated that participants enjoyed the financial benefits of the program and wanted it to continue. The produce prescription program was successful in increasing self-reported fruit intake among participants. More research is needed to determine if changes in intake persist when measured objectively, and on best methods for the program's financial sustainability.

A Mixed-Methods Examination of the Impact of the Partnerships to Improve Community Health Produce Prescription Initiative in Northeastern North Carolina.

OBJECTIVE: To conduct a mixed-methods examination of the impact of the Partnerships to Improve Community Health produce prescription initiative in northeastern North Carolina. DESIGN: Quantitative surveys were conducted among participants before and after the distribution of produce prescription vouchers. Univariate statistics were used to describe the participant population, and paired t tests were used to examine change in fruit and vegetable intake. Qualitative, in-depth telephone interviews were conducted among participants, health educators, and food retailers and coded for themes. SETTING: Eight health promotion programs, 2 food pantries, and 11 food retailers. PARTICIPANTS: In each health promotion program or food pantry, between 6 and 97 participants were enrolled. INTERVENTION: Produce prescription vouchers were distributed to participants and redeemed at local food retailers. MAIN OUTCOME MEASURE S: An increase in local fruit and vegetable purchasing and consumption. RESULTS: Of the produce prescription participants who completed the baseline survey (n = 93), 86% were female, 64% were African American, and 68% were food insecure. The voucher redemption rate was 18%. The majority of participants indicated that they visit farmers' markets more now than before the produce prescription initiative, that shopping at the farmers' market made it easy to include more fresh produce in their family's diet, and that they tried a new farmers' market because of the produce prescription initiative. All health educators and food retailers who participated felt that the initiative benefited their program or operation and were willing to partner with the program again. CONCLUSIONS: While redemption rates were lower than anticipated, the produce prescription initiative had positive impacts on participants' local fruit and vegetable purchasing and consumption. Because of COVID-19, the initiative was not implemented until late in the North Carolina produce season. Moving forward, the program will start earlier and work with local food retailers to connect with their communities to increase redemption rates.

Trends and Rural-Urban Differences in Participation in Diabetes Self-management Education Among Adults in North Carolina: 2012-2017.

PURPOSE: This study aimed to report recent trends in self-reported diabetes self-management education (DSME) participation rates among adults in North Carolina and to compare these rates between rural and urban residents. METHODS: Data for this analysis were obtained from the NC Behavioral Risk Factor Surveillance System (BRFSS) for the years 2012, 2013, 2015, and 2017, when the survey included the diabetes module. Respondents were classified as having participated in DSME if they answered "Yes" to the question, "Have you ever taken a course or class in how to manage your diabetes yourself?" We used the Rural Urban Continuum Code to classify urban and rural residence. The study sample included 4368 adults 18 years or older with self-reported diabetes. We assessed the changes in DSME participation from 2012 to 2017. We used multiple logistic regression modeling to assess the association between rural residence and DSME participation. All analyses were conducted in Stata 14 and accounted for the survey design of the BRFSS. Statistical significance was set at P < .01. RESULTS: Overall, the DSME participation rates decreased slightly in the study period, from 55.8% in 2012 to 55.6% in 2013 to 56.5% in 2015 to 52.1% in 2017. By rural-urban residence, the rates were 52.3% versus 57.8% in 2012, 54.0% versus 56.5% in 2013, 48.8% versus 62.0% in 2015, and 46.7% versus 56.1% in 2017. The multiple logistic regression model results showed that rural residents were less likely to have participated in DSME (adjusted odds ratio = 0.78; 95% confidence interval, 0.64-0.94) than urban residents. Adults with higher income and education levels were also more likely to have participated in DSME (P < .01). CONCLUSIONS: The recent BRFSS data showed that the DSME participation rate declined slightly in North Carolina. There were persistent rural-urban disparities in DSME participation, with rural residents showing lower rates, and the gaps seemed to be widening. IMPLICATIONS FOR POLICY OR PRACTICE: Continuous efforts are needed to bring more American Diabetes Association/American Association of Diabetes Educators programs to rural communities and assist persons with diabetes to participate in DSME training to reduce the burden of diabetes. Furthermore, those in rural areas may need additional support.

Rural-urban differences in uptake of diabetes self-management education among Medicare beneficiaries: Results from the 2016 to 2018 Medicare Current Beneficiary Survey.

PURPOSE: To assess rural-urban differences in participation rates of diabetes self-management education and associated factors among Medicare beneficiaries with type 2 diabetes (T2DM). METHODS: Data were from the 2016 to 2018 Medicare Current Beneficiary Survey (MCBS). Participation in diabetes self-management education was self-reported. The study sample included 3,799 beneficiaries aged 65 years and older with self-reported T2DM. Logistic regression was used to assess the association of participation in diabetes self-management education and residential location. Sampling weights embedded in the MCBS were incorporated into all analyses. FINDINGS: Overall, the participation rate of diabetes self-management education was 46.8% (95% CI: 44.4%-49.2%). The rate was 40.3% for beneficiaries in rural areas, 48.0% for suburban areas, and 47.3% for urban areas. About 31% of beneficiaries newly diagnosed with diabetes did not participate within the past year. Controlling for other covariates, beneficiaries in rural areas were less likely to have participated in diabetes self-management education (AOR = 0.73, 95% CI: 0.55-0.95) than those living in urban areas. Asian Americans were less likely to have participated (AOR = 0.49, 95% CI: 0.28-0.84) than Whites. Those who were older, with lower education, and lower income levels were less likely to have participated (P < .05). CONCLUSIONS: Recent MCBS data indicate that more than half of Medicare beneficiaries with T2DM did not participate in diabetes self-management education, and the participation rate in rural areas was 7 percentage points lower than that ​in urban areas. The study findings highlight challenges to maximize the benefits of participating in diabetes self-management education, particularly in rural areas.

Health Literacy Among Adults With Multiple Chronic Health Conditions.

Low health literacy (HL) is associated with poorer health outcomes. We examined HL among adults with multiple chronic conditions (CCs), using 2016 Behavioral Risk Factor Surveillance System data. Health literacy was measured by 3 subjective questions about difficulty with the following tasks: (1) obtaining health information or advice; (2) understanding spoken health information; and (3) understanding written health information. We estimated the prevalence of low HL (difficulty with ≥1 HL tasks) and used multiple logistic regression analysis to examine associations between HL and number of CCs. The prevalence of low HL was 13.8% overall and increased with the number of CCs from 10.6% among those with no CC to 24.7% among those with 3 or more CCs, with the latter having more than twice the adjusted odds of low HL compared with the former (adjusted odds ratio = 2.65; 95% confidence interval, 2.36-2.97). Efforts to improve HL in this population are needed.

Willingness to Get a COVID-19 Vaccine and Reasons for Hesitancy Among Medicare Beneficiaries: Results From a National Survey.

OBJECTIVES: To assess (1) the willingness to get a COVID-19 vaccine among Medicare beneficiaries, (2) the associated factors, and (3) the reasons for vaccine hesitancy. METHODS: Data were taken from the Medicare Current Beneficiary Survey (MCBS) 2020 Fall COVID-19 Supplement, conducted October-November 2020. Willingness to get a COVID-19 vaccine was measured by respondents' answer to whether they would get a COVID-19 vaccine when available. We classified responses of "definitely" and "probably" as "willing to get," and responses "probably not," "definitely not," and "not sure" as "vaccine hesitancy." Reasons for vaccine hesitancy were assessed by a series of yes/no questions focusing on 10 potential reasons. The analytical sample included 6715 adults 65 years and older. We conducted a logistic regression model to assess demographic factors and other factors associated with the willingness to get a COVID-19 vaccine. All analyses were conducted in Stata 14 and accounted for the complex survey design of MCBS. RESULTS: Overall, 61.0% (95% confidence interval [CI], 59.1-63.0) of Medicare beneficiaries would be willing to get a vaccine when available. Among those who were hesitant, more than 40% reported that mistrust of the government and side effects as the main reasons. Logistic regression model results showed that non-Hispanic Blacks (adjusted odds ratio [AOR] = 0.33; 95% CI, 0.24-0.44) and Hispanics (AOR = 0.60; 95% CI, 0.47-0.77) were less willing to get a vaccine than non-Hispanic Whites; beneficiaries with an income of less than $25 000 (AOR = 0.71; 95% CI, 0.62-0.81) were less willing to get the vaccine than those with an income of $25 000 or more; those who did not think that the COVID-19 virus was more contagious (AOR = 0.53; 95% CI, 0.41-0.69) or more deadly (AOR = 0.51; 95% CI, 0.41-0.65) were also less willing to get the vaccine than those who thought that the virus was more contagious or more deadly than the influenza virus. CONCLUSIONS: The 2020 MCBS survey data showed that close to 40% of Medicare beneficiaries were hesitant about getting a COVID-19 vaccine, and the hesitancy was greater in racial/ethnic minorities. Medicare beneficiaries were concerned about the safety of the vaccine, and some appeared to be misinformed. Evidence-based educational and policy-level interventions need to be implemented to further promote COVID-19 vaccination.

Associations between farmers' market shopping behaviours and objectively measured and self-reported fruit and vegetable intake in a diverse sample of farmers' market shoppers: a cross-sectional study in New York City and rural North Carolina.

OBJECTIVE: To examine cross-sectional associations between farmers' market shopping behaviours and objectively measured and self-reported fruit and vegetable (FV) intake among rural North Carolina (NC) and New York City (NYC) shoppers. DESIGN: Cross-sectional intercept surveys were used to assess self-reported FV intake and three measures of farmers' market shopping behaviour: (1) frequency of purchasing FV; (2) variety of FV purchased and (3) dollars spent on FV. Skin carotenoids, a non-invasive biomarker for FV intake, were objectively measured using pressure-mediated reflection spectroscopy. Associations between farmers' market shopping behaviours and FV intake were examined using regression models that controlled for demographic variables (e.g. age, sex, race, smoking status, education, income and state). SETTING: Farmers' markets (n 17 markets) in rural NC and NYC. PARTICIPANTS: A convenience sample of 645 farmers' market shoppers. RESULTS: Farmers' market shoppers in NYC purchased a greater variety of FV and had higher skin carotenoid scores compared with shoppers in rural NC. Among all shoppers, there was a positive, statistically significant association between self-reported frequency of shopping at farmers' markets and self-reported as well as objectively assessed FV intake. The variety of FV purchased and farmers' market spending on FV also were positively associated with self-reported FV intake, but not skin carotenoids. CONCLUSION: Those who shop for FV more frequently at a farmers' markets, purchase a greater variety of FV and spend more money on FV have higher self-reported, and in some cases higher objectively measured FV intake. Further research is needed to understand these associations and test causality.

A four-year observational study to examine the dietary impact of the North Carolina Healthy Food Small Retailer Program, 2017-2020.

BACKGROUND: The North Carolina (NC) Healthy Food Small Retailer Program (HFSRP) was passed into law with a $250,000 appropriation (2016-2018) providing up to $25,000 in funding to small food stores for equipment to stock healthier foods and beverages. This paper describes an observational natural experiment documenting the impact of the HFSRP on store food environments, customers' purchases and diets. METHODS: Using store observations and intercept surveys from cross-sectional, convenience customer samples (1261 customers in 22 stores, 2017-2020; 499 customers in 7 HFSRP stores, and 762 customers in 15 Comparison stores), we examined differences between HFSRP and comparison stores regarding: (1) change in store-level availability, quality, and price of healthy foods/beverages; (2) change in healthfulness of observed food and beverage purchases ("bag checks"); and, (3) change in self-reported and objectively-measured (Veggie Meter®-assessed skin carotenoids) customer dietary behaviors. Differences (HFSRP vs. comparison stores) in store-level Healthy Food Supply (HFS) and Healthy Eating Index-2010 scores were assessed using repeated measure ANOVA. Intervention effects on diet were assessed using difference-in-difference models including propensity scores. RESULTS: There were improvements in store-level supply of healthier foods/beverages within 1 year of program implementation (0 vs. 1-12 month HFS scores; p = 0.055) among HFSRP stores only. Comparing 2019 to 2017 (baseline), HFSRP stores' HFS increased, but decreased in comparison stores (p = 0.031). Findings indicated a borderline significant effect of the intervention on self-reported fruit and vegetable intake (servings/day), though in the opposite direction expected, such that fruit and vegetable intake increased more among comparison store than HFSRP store customers (p = 0.05). There was no significant change in Veggie Meter®-assessed fruit and vegetable intake by customers shopping at the intervention versus comparison stores. CONCLUSIONS: Despite improvement in healthy food availability, there was a lack of apparent impact on dietary behaviors related to the HFSRP, which could be due to intervention dose or inadequate statistical power due to the serial cross-sectional study design. It may also be that individuals buy most of their food at larger stores; thus, small store interventions may have limited impact on overall eating patterns. Future healthy retail policies should consider how to increase intervention dose to include more product marketing, consumer messaging, and technical assistance for store owners.

Rural, Suburban, and Urban Differences in Chronic Pain and Coping Among Adults in North Carolina: 2018 Behavioral Risk Factor Surveillance System.

INTRODUCTION: Our study aimed to examine the prevalence of chronic pain, its severity, its causes, and coping mechanisms that are used by North Carolina adults in rural, suburban, and urban areas. METHODS: We analyzed data from the Behavioral Risk Factor Surveillance System's first chronic pain module in 2018, representing 3,598 respondents. Self-reported chronic pain was defined as the affirmative response to the question, "Do you suffer from any type of chronic pain, that is, pain that occurs constantly or flares up often?" We computed prevalence of chronic pain and use of coping mechanisms by rural, suburban, or urban residential status. We used multiple logistic regression to assess the association between chronic pain and residential location, adjusting for demographic characteristics, employment, and health insurance. RESULTS: In 2018, an estimated 27.5% (95% confidence interval [CI], 25.6%-29.3%) of North Carolina adults experienced chronic pain. Prevalence of chronic pain in rural areas (30.9%) and suburban areas (30.8%) was significantly higher, compared with urban areas (19.6%). Compared with urban residents with chronic pain, those with chronic pain in suburban areas (adjusted odds ratio [AOR], 0.44; 95% CI, 0.26-0.76) and in rural areas (AOR, 0.39; 95% CI, 0.24-0.65) were less likely to use nonmedication therapies (eg, acupuncture, physical therapy, yoga) and were less likely to use 3 or more types of chronic pain treatment (suburban AOR, 0.47; 95% CI, 0.25-0.88; rural AOR, 0.53; 95% CI, 0.29-0.95). CONCLUSION: Our results indicate that persons living in rural and suburban areas may be more likely to have chronic pain and less likely to use nonmedication treatments than those in urban areas.

Diabetes Self-Care and Clinical Care Among Adults With Low Health Literacy.

OBJECTIVE: Low health literacy has been associated with unfavorable health outcomes. We examined diabetes self- and clinical care measures among adults with diabetes by 3 dimensions of health literacy. DESIGN/SETTING: Questions about health literacy were available for optional use in the 2016 Behavioral Risk Factor Surveillance System. We analyzed 2016 Behavioral Risk Factor Surveillance System data from 4 states and the District of Columbia that had included both the Health Literacy and Diabetes optional modules. PARTICIPANTS: Respondents who participated in the 2016 Behavioral Risk Factor Surveillance System in Alabama, Louisiana, Mississippi, Virginia, and Washington, District of Columbia, and completed both modules (n = 4397). MAIN OUTCOME MEASURES: Health literacy was measured by level of difficulty (easy, difficult) with 3 health literacy tasks: getting health advice or information, understanding health information delivered orally by health professionals, and understanding written health information. Diabetes care measures included physical activity, self-monitoring blood glucose, self-checking feet, hemoglobin A1c testing, professional foot examination, flu vaccination, professional eye examination, dental visits, and diabetes self-management education. RESULTS: Among those with self-reported diabetes, 5.9% found it difficult to get health advice or information, 10.7% found it difficult to understand information health professionals told them, and 12.0% found it difficult to understand written health information. Those who found it difficult to get health advice or information had 44% to 56% lower adjusted odds of A1c testing, professional foot examinations, and dental visits; those who found it difficult to understand written health information had lower odds of self-monitoring glucose and self-checking feet. Difficulty understanding both oral and written health information was associated with never having taken a diabetes self-management class. CONCLUSIONS: Our results suggest that problems with health literacy may be a barrier to good disease management among adults with diabetes and that health care providers should be attentive to the needs of patients with low health literacy, especially for diabetes-specific specialty care.

Geofencing: Mobile Technology as a Health Promotion Tool to Raise Awareness of a Dental Clinic in Rural North Carolina.

PURPOSE: The purpose of the study was to assess the use of geofence technology to raise awareness of a dental clinic in rural North Carolina. METHODS: The catchment area of the dental clinic was defined by ZIP Codes. A geofence was identified, and cell phones within the perimeter were targeted for oral health message drops to occur over 3 months from April to June 2017. Surveys conducted twice, pre- and postintervention (message drop), evaluated change in community awareness of services available at the dental clinic. A cross-sectional analysis was used to measure the effect of the exposure to the geofence technology in survey respondents. FINDINGS: The survey included 200 participants (100 pre- and 100 postintervention). There were no significant differences in race or age for pre- and postintervention survey groups. The majority of respondents were American Indians (47.0% pre, 58.6% post) or black (28.8% pre, 25.5% post). There was a statistically significant improvement in awareness of the dental clinic (P = .045) from pre- to postintervention. A significant increase was also observed in the question related to dental visits by the respondent or family member of the respondent (from 6.5% to 15.0%, P = .04). A more modest improvement was found in questions related to the cost of dental care, type of insurance accepted, and services provided. CONCLUSION: Geofencing has the potential to increase awareness of health care services and ultimately increase the number of patients receiving care.

Associations between shopping patterns, dietary behaviours and geographic information system-assessed store accessibility among small food store customers.

OBJECTIVE: To examine associations between geographic information systems (GIS)-assessed accessibility to small food stores, shopping patterns and dietary behaviours among small food store customers. DESIGN: Residential addresses and customer shopping patterns (frequency of shopping, and previous purchase of fruits and vegetables) were gathered through customer intercept surveys. Addresses were geocoded, and GIS-assessed distance and driving time from the participants' residence to the store were calculated. Dietary status and behaviours were assessed using an objective non-invasive measure of skin carotenoids, the National Cancer Institute Fruit and Vegetable Screener, and items to assess sugary beverage intake. Associations between distance and driving time, demographics, shopping frequency, prior reported purchase of fruits and vegetables at the store and dietary behaviours were examined. SETTING: Small food stores (n 22) across North Carolina. PARTICIPANTS: Cross-sectional convenience samples of English-speaking customers aged 18 years or older (n 692). RESULTS: Participants living closer to the small store had lower income and formal education, were more likely to be Black, more likely to have previously bought fruits and vegetables at the store and more frequently shopped at the store. In adjusted models, skin carotenoids (n 644) were positively associated with distance to the store from home in miles (P = 0·01). CONCLUSIONS: Customers who lived closer to the stores were more frequent shoppers and more likely to have previously purchased fruits and vegetables at the store yet had lower skin carotenoids. These results support continued efforts to examine how to increase the availability and promotion of healthful foods at small food retail stores.

Health Literacy and Health Behaviors Among Adults With Prediabetes, 2016 Behavioral Risk Factor Surveillance System.

OBJECTIVES: Evidence is needed for designing interventions to address health literacy-related issues among adults with prediabetes to reduce their risk of developing type 2 diabetes. This study assessed health literacy and behaviors among US adults with prediabetes and the mediating role of health literacy on health behaviors. METHODS: We used data from the 2016 Behavioral Risk Factor Surveillance System (BRFSS) (N = 54 344 adults). The BRFSS health literacy module included 3 questions on levels of difficulty in obtaining information, understanding health care providers, and comprehending written information. We defined low health literacy as a response of "somewhat difficult" or "very difficult" to at least 1 of these 3 questions. Respondents self-reported their prediabetes status. We included 3 health behavior indicators available in the BRFSS survey-current smoking, physical inactivity, and inadequate sleep, all measured as binary outcomes (yes/no). We used a path analysis to examine pathways among prediabetes, health literacy, and health behaviors. RESULTS: About 1 in 5 (19.0%) adults with prediabetes had low health literacy. The rates of physical inactivity (31.0% vs 24.6%, P < .001) and inadequate sleep (38.8% vs 33.5%, P < .001) among adults with prediabetes were significantly higher than among adults without prediabetes. The path analysis showed a significant direct effect of prediabetes and health literacy on health behaviors. The indirect effect of prediabetes through health literacy on health behaviors was also significant. CONCLUSION: BRFSS data from 2016 showed that rates of low health literacy and unhealthy behaviors were higher among adults with prediabetes than among adults without prediabetes. Interventions are needed to assist adults with prediabetes in comprehending, communicating about, and managing health issues to reduce the risk of type 2 diabetes.

Examining Shopping Patterns, Use of Food-Related Resources, and Proposed Solutions to Improve Healthy Food Access Among Food Insecure and Food Secure Eastern North Carolina Residents.

In the Southern United States (U.S.), food insecurity rates are higher in rural (20.8%) versus urban communities (15%). Food insecurity can exacerbate diet-related disease. Thus, the purpose of this study was to examine differences in the use of food-related community resources and potential solutions proposed among food insecure versus food secure residents. A community survey (n = 370) was conducted in rural eastern North Carolina, with questions pertaining to food security status and food-related resources. The IBM SPSS Statistics software and SAS software were used to examine differences in food-related resources, and qualitative data analysis was used to examine differences in solutions offered between food insecure and food secure participants. Of the 370 respondents, forty-eight-point-six percent were classified as food insecure. Food insecure participants were more likely to report shopping for groceries at a convenience/discount store, less likely to use their own vehicle for transportation, and less likely to purchase food from local producers. Food insecure participants were more likely to suggest solutions related to reducing the cost of healthy food, while food secure participants were more likely to suggest educational or convenience-related interventions.

Self-reported Health Literacy Among North Carolina Adults and Associations with Health Status and Chronic Health Conditions.

BACKGROUND Low health literacy is a recognized contributor to health disparities. Significant proportions of the adult population, especially the underserved, have low health literacy. The purpose of this study was to examine health literacy and its associations with health status and chronic health conditions among North Carolina adults.METHODS The 2016 North Carolina Behavioral Risk Factor Surveillance System included health literacy questions that focused on accessing and understanding health information. Using these self-reported data, we estimated the prevalence of low health literacy and assessed its associations with general health status and chronic health conditions after adjusting for sociodemographic characteristics and health care access.RESULTS Overall, 4.8% of adults reported having difficulty getting health information or advice, 7.5% understanding oral information from health professionals, and 8.3% understanding written health information; 14.8% reported having difficulty with at least one of these tasks. The adjusted odds of low health literacy were moderately higher for those who had been diagnosed with the following conditions compared to those not diagnosed: heart attack, coronary heart disease, or stroke (AOR = 1.81, 95% CI=1.33, 2.47); COPD (AOR = 1.67, 95% CI = 1.19, 2.34); arthritis (AOR = 1.68, 95% CI = 1.32, 2.15); depression (AOR = 1.95, 95% CI=1.52, 2.50); and kidney disease (AOR = 1.62, 95% CI = 1.02, 2.60).LIMITATIONS All data were self-reported.CONCLUSIONS A notable segment of the North Carolina adult population has low health literacy, and those who do are particularly vulnerable to adverse health status. Targeted efforts are needed to identify strategies to improve health literacy and decrease health disparities.

Potential Effect of Vouchers on the Completion of Self-management Education Among Patients With Diabetes.

Diabetes is a significant public health problem in eastern North Carolina, and completion of formal diabetes self-management education (DSME) is low. To seek methods to increase DSME completion, patients with diabetes in an eastern North Carolina regional health care system who had not completed DSME (n = 58) were surveyed during wellness visits to examine attitudes toward the use of vouchers (eg, coupons that purchase healthy food, exercise classes, gym memberships). There was an extremely low awareness (19%) of and referral (5%) to DSME. Most respondents (77%) said they would or might be more likely to complete DSME if they received a voucher at the end. Vouchers for healthy food venues such as farmers' markets were most preferred, and 6 months or less was found to be an acceptable time frame to use the voucher. This study offers some evidence for DSME providers to explore vouchers as one approach to increase program completion.

Impact on Dietary Choices After Discount Supermarket Opens in Low-Income Community.

OBJECTIVE: To examine (1) the association of a new supermarket opening with dietary intake and perceptions of healthy food availability, and (2) associations of distance to the primary food store and mean prices of fruits, vegetables, and sugary beverages with levels of consumption of these foods and body mass index in a low-income, southeastern community. METHODS: The researchers used cross-sectional, self-administered questionnaire data and supermarket audit data collected in the supermarket community and comparison community before (2015) and after (2016) the supermarket opening. A difference-in-difference analysis employed propensity scores to compare pretest and posttest differences between communities. RESULTS: There were no significant differences between communities on dietary behaviors. There was a significant cross-sectional, inverse association between distance to the primary food store and fruit and vegetable consumption among all respondents in 2016. CONCLUSIONS AND IMPLICATIONS: The results suggest that adding a new discount supermarket is not necessarily associated with improvements in residents' fruit, vegetable, or sugary beverage consumption, or in their perceptions of the availability of healthy food in the neighborhood. However, distance to the store may be important.

Health Inequities among Lesbian, Gay, and Bisexual Adults in North Carolina, 2011-2014.

Inequalities in health have been identified for lesbian, gay, and bisexual (LGB) populations nationally. Policies in the U.S. South offer fewer protections for LGB people than in other regions, yet, limited data exist for this region. North Carolina (NC) BRFSS data from 2011 to 2014 were combined (LGB n = 604; heterosexual n = 33,170) and analyzed using SAS survey procedures to estimate health characteristics by sexual orientation within gender. Many examined indicators were not different by sexual orientation, however, other results were significant and consistent with findings from state population surveys in other regions of the country. Both genders showed inequities in mental health, having over twice the odds of five or more poor mental health days in the past month and of having ever been diagnosed with a depressive disorder. Sexual minority women had higher odds compared with heterosexual women for ever having smoked cigarettes, current smoking, exposure to secondhand smoke both in the workplace and at home, and both alcohol risk factors, binge and heavy drinking. Being part of the LGB population in NC is associated with worse health. The implementation of anti-LGB policies in the NC warrants ongoing monitoring of LGB health inequities in NC and in other southeastern states for potential effects on the health and well-being of sexual minorities.

A possible dose-response association between distance to farmers' markets and roadside produce stands, frequency of shopping, fruit and vegetable consumption, and body mass index among customers in the Southern United States.

BACKGROUND: The association between farmers' market characteristics and consumer shopping habits remains unclear. Our objective was to examine associations among distance to farmers' markets, amenities within farmers' markets, frequency of farmers' market shopping, fruit and vegetable consumption, and body mass index (BMI). We hypothesized that the relationship between frequency of farmers' market shopping and BMI would be mediated by fruit and vegetable consumption. METHODS: In 15 farmers' markets in northeastern North Carolina, July-September 2015, we conducted a cross-sectional survey among 263 farmers' market customers (199 provided complete address data) and conducted farmers' market audits. To participate, customers had to be over 18 years of age, and English speaking. Dependent variables included farmers' market shopping frequency, fruit and vegetable consumption, and BMI. Analysis of variance, adjusted multinomial logistic regression, Poisson regression, and linear regression models, adjusted for age, race, sex, and education, were used to examine associations between distance to farmers' markets, amenities within farmers' markets, frequency of farmers' market shopping, fruit and vegetable consumption, and BMI. RESULTS: Those who reported shopping at farmers' markets a few times per year or less reported consuming 4.4 (standard deviation = 1.7) daily servings of fruits and vegetables, and those who reported shopping 2 or more times per week reported consuming 5.5 (2.2) daily servings. There was no association between farmers' market amenities, and shopping frequency or fruit and vegetable consumption. Those who shopped 2 or more times per week had a statistically significantly lower BMI than those who shopped less frequently. There was no evidence of mediation of the relationship between frequency of shopping and BMI by fruit and vegetable consumption. CONCLUSIONS: More work should be done to understand factors within farmers' markets that encourage fruit and vegetable purchases.

Preferred Healthy Food Nudges, Food Store Environments, and Customer Dietary Practices in 2 Low-Income Southern Communities.

OBJECTIVE: To examine how food store environments can promote healthful eating, including (1) preferences for a variety of behavioral economics strategies to promote healthful food purchases, and (2) the cross-sectional association between the primary food store where participants reported shopping, dietary behaviors, and body mass index. METHODS: Intercept survey participants (n = 342) from 2 midsized eastern North Carolina communities completed questionnaires regarding preferred behavioral economics strategies, the primary food store at which they shopped, and consumption of fruits, vegetables, and sugary beverages. RESULTS: Frequently selected behavioral economic strategies included: (1) a token and reward system for fruit and vegetable purchases; and (2) price discounts on healthful foods and beverages. There was a significant association between the primary food store and consumption of fruits and vegetables (P = .005) and sugary beverages (P = .02). CONCLUSIONS AND IMPLICATIONS: Future studies should examine associations between elements of the in-store food environment, purchases, and consumption.