Association Between Physical Activity and Proximity to Physical Activity Resources Among Low-Income, Midlife Women

INTRODUCTION: The association between levels of physical activity and perceived and objectively measured proximity to physical activity resources is unclear. Clarification is important so that future programs can intervene upon the measure with the greatest association. We examined correlations between perceived and objectively measured proximity to physical activity resources and then examined associations between both measures of proximity and objectively measured physical activity. METHODS: Participants (n = 199) were underinsured women from three counties in southeastern North Carolina. Perceived proximity to physical activity resources (e.g., parks, gyms, schools) was measured using surveys. Objectively measured proximity included geographic information systems road network distance to the closest resource and existence of resources within 1- and 2-mile buffers surrounding participants' homes. To examine the association between proximity to resources and activity, the dependent variable in multiple linear regression models was the natural logarithm of accelerometer-measured moderate to vigorous physical activity in minutes per day. RESULTS: Pearson correlation coefficients for perceptions of distance and objectively measured distance to physical activity resources ranged from 0.40 (gyms, schools) to 0.54 (parks). Perceived distance to gyms and objective number of schools within 1-mile buffers were negatively associated with activity. No statistically significant relationships were found between activity and perceived or objectively measured proximity to parks. CONCLUSION: Results indicate the need for both individual and environmental intervention strategies to increase levels of physical activity among underinsured, midlife women. More work is needed to determine the most effective strategies

Commute Times, Food Retail Gaps, and Body Mass Index in North Carolina Counties

Introduction: The prevalence of obesity is higher in rural than in urban areas of the United States, for reasons that are not well understood. We examined correlations between percentage of rural residents, commute times, food retail gap per capita, and body mass index (BMI) among North Carolina residents. Methods: We used 2000 census data to determine each county\u27s percentage of rural residents and 1990 and 2000 census data to obtain mean county-level commute times. We obtained county-level food retail gap per capita, defined as the difference between county-level food demand and county-level food sales in 2008, from the North Carolina Department of Commerce, and BMI data from the 2007 North Carolina Behavioral Risk Factor Surveillance System. To examine county-level associations between BMI and percentage of rural residents, commute times, and food retail gap per capita, we used Pearson correlation coefficients. To examine cross-sectional associations between individual-level BMI (n=9,375) and county-level commute times and food retail gap per capita, we used multilevel regression models. Results: The percentage of rural residents was positively correlated with commute times, food retail gaps, and county-level BMI. Individual-level BMI was positively associated with county-level commute times and food retail gaps. Conclusions: Longer commute times and greater retail gaps may contribute to the rural obesity disparity. Future research should examine these relationships longitudinally and should test community-level obesity prevention

A Community-Driven Approach to Identifying “Winnableâ€? Policies Using the Centers for Disease Control and Prevention’s Common Community Measures for Obesity Prevention

Federally funded, community-based participatory research initiatives encourage the development and implementation of obesity prevention policies. In 2009, the Centers for Disease Control and Prevention (CDC) published the Common Community Measures for Obesity Prevention (COCOMO), which include recommended strategies and measures to guide communities in identifying and evaluating environmental and policy strategies to prevent obesity. Agreeing on "winnable" policy issues can be challenging for community members. We used CDC's COCOMO to structure in-depth interviews and group discussions with local stakeholders (ie, planners, town managers, and a local community advisory council) to stimulate interest in and identify health-promoting policies for local policy and planning agendas. We first asked stakeholders to rank the COCOMO recommendations according to feasibility and likelihood of success given community culture, infrastructure, extent of leadership support, and likely funding support. Rankings were used to identify the most and least "winnable" COCOMO policy strategies. We then used questions from the evidence-based Community Readiness Handbook to aid discussion with stakeholders on the facilitators and barriers to enacting the most and least winnable policy options identified. Finally, we discuss potential adaptations to COCOMO for rural jurisdictions

Knowledge, Attitudes, Beliefs and Behaviors Regarding Fruits and Vegetables among Cost-Offset Community-Supported Agriculture (CSA) Applicants, Purchasers, and a Comparison Sample

Data were collected in August, amid the summer CSA season, when shares include many of the summer FV preferred by low-income caregivers and their children [33], which may have contributed to the magnitude of the differences in children’s FV consumption that we observed. Because resources to support the CO-CSA were limited and offsets were awarded on a first-come first-served basis, and because almost all KABs were equivalent for purchaser and non-purchaser sub-groups, selection bias into the purchaser sub-group is an unlikely explanation for differences observed between CO-CSA purchasers and non-purchasers. [...]the inclusion of some CO-CSA applicants who participated in a longitudinal study regarding CO-CSA may have biased upwards estimates of KAB and self-efficacy with respect to FV consumption in the applicant sample. [...]although selection of adults into the comparison group used similar eligibility criteria, they were not comparable to CO-CSA applicants who were older, more educated, and more often lived in food-secure households. [...]sample sizes were too small to permit exploration of observed associations in a multivariate context that controlled for key sample differences such as age, educational attainment, or self-efficacy for eating and cooking FV. 5

Conceptualizing and comparing neighborhood and activity space measures for food environment research

Greater accessibility to geospatial technologies has led to a surge of spatialized public health research, much of which has focused on food environments. The purpose of this study was to analyze differing spatial measures of exposure to supermarkets and farmers’ markets among women of reproductive age in eastern North Carolina. Exposure measures were derived using participant-defined neighborhoods, investigator-defined road network neighborhoods, and activity spaces incorporating participants’ time space behaviors. Results showed that mean area for participant-defined neighborhoods (0.04 sq. miles) was much smaller than 2.0 mile road network neighborhoods (3.11 sq. miles) and activity spaces (26.36 sq. miles), and that activity spaces provided the greatest market exposure. The traditional residential neighborhood concept may not be particularly relevant for all places. Time-space approaches capturing activity space may be more relevant, particularly if integrated with mixed methods strategies

The perceived influence of cost-offset community-supported agriculture on food access among low-income families

Objective To examine perspectives on food access among low-income families participating in a cost-offset community-supported agriculture (CO-CSA) programme.Design Farm Fresh Foods for Healthy Kids (F3HK) is a multicentre randomized intervention trial assessing the effect of CO-CSA on dietary intake and quality among children from low-income families. Focus groups were conducted at the end of the first CO-CSA season. Participants were interviewed about programme experiences, framed by five dimensions of food access: Availability, accessibility, affordability, acceptability and accommodation. Transcribed data were coded on these dimensions plus emergent themes.Setting Nine communities in the US states of New York, North Carolina, Washington and Vermont.Subjects Fifty-Three F3HK adults with children.Results CSA models were structured by partner farms. Produce quantity was abundant; however, availability was enhanced for participants who were able to select their own produce items. Flexible CSA pick-up times and locations made produce pick-up more accessible. Despite being affordable to most, payment timing was a barrier for some. Unfamiliar foods and quick spoilage hindered acceptability through challenging meal planning, despite accommodations that included preparation advice.Conclusions Although CO-CSA may facilitate increased access to fruits and vegetables for low-income families, perceptions of positive diet change may be limited by the ability to incorporate share pick-up into regular travel patterns and meal planning. Food waste concerns may be particularly acute for families with constrained resources. Future research should examine whether CO-CSA with flexible logistics and produce self-selection are sustainable for low-income families and CSA farms

Examining the Influence of Price and Accessibility on Willingness to Shop at Farmers' Markets Among Low-income Eastern North Carolina Women

To examine the influence of farmers’ market pricing and accessibility on willingness to shop at farmers’ markets, among low-income women

Associations between access to farmers’ markets and supermarkets, shopping patterns, fruit and vegetable consumption and health indicators among women of reproductive age in eastern North Carolina, USA

We examined associations between access to food venues (farmers’ markets and supermarkets), shopping patterns, fruit and vegetable consumption and health indicators among women of reproductive age in eastern North Carolina, USA

Farmers\u27 market use is associated with fruit and vegetable consumption in diverse southern rural communities

Background While 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). Methods Cross-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. Results Among 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. Conclusions Fruit and vegetable consumption was associated with farmers’ market shopping. Thus, farmers’ markets may be a viable method to increase population-level produce consumption

Perceptions of the Community Food Environment and Related Influences on Food Choice Among Midlife Women Residing in Rural and Urban Areas: A Qualitative Analysis

Introduction—Qualitative research on food choice has rarely focused on individuals’ perceptions of the community food environment. Women remain gatekeepers of the family diet and food purchasing. Therefore we assessed midlife, Southern women's perceptions of the food environment. Related influences on food choices at work and at home were also examined. Methods—We recruited 28 low- and moderate-income, midlife (37-67 years) women from rural and urban areas of southeastern North Carolina, using typical case and snowball sampling. They responded to questions about multilevel influences on food choice in semi-structured, in-depth interviews. Results—Women perceived differences between urban and rural food environments, with rural areas having fewer supermarkets and fast food restaurants compared to urban areas, which had fewer produce stands. Workplace food choices were affected by the social environment (co-workers), personal health concerns, and the surrounding food environment. Food chosen at home was primarily influenced by family members, health concerns, and convenient food sources. Discussion—While future studies should explore findings in more representative populations, potential intervention strategies can be inferred, including emphasizing healthful aspects of the food environment. Intervention and advocacy efforts are needed to improve aspects of the food environment that make healthy choices difficult. Originally published in Women & Health Vol. 49, No. 2-3, 2009