Small Food Stores in Rural Communities: Challenges and Insights

Incorporating healthy food options into existing establishments may impact dietary intake among community residents, especially in underserved communities. For the current qualitative assessment, key informant interviews were conducted with storeowners across rural Nebraska to assess attitudes, barriers, and willingness to implement changes (N=10). Concurrently, a modified NEMS-S assessment was conducted to assess availability of healthy food options. It was found that small grocery stores in rural communities provided a variety of healthy foods (low-fat dairy, lean meats, vegetables, fruits, and whole grain food groups). Storeowners described that they would be willing to carry varieties of food items if customers requested specific items. Interestingly, storeowners indicated their main challenges were: maintaining a customer base (e.g., populations shrinking, competition with “big box” stores); policy changes and interests of distributors; inequitable prices and tax structures; and perceptions of the store. When asked specifically about offering and promoting healthier foods, storeowners were generally responsive, as long as options were cost-efficient and met the needs of their customers. Given that rural communities generally have limited food access, a focus on promoting the longevity of local stores is needed. This session describes the findings from these interviews and discuss implications

Do Life Style Factors And Socioeconomic Variables Explain Why Black Women Have A Remarkably Higher Body Mass Index (BMI) Than White Women In The United States? Findings From The 2010 National Health Interview Survey

Objective: There are marked inequalities in body mass index (BMI), overweight, and obesity across ethnic groups. We sought to examine the extent to which lifestyle factors and socioeconomic variables explain the higher BMI in Black women compared to White women in the United States. Methods: We used data from the 2010 National Health Interview Survey (NHIS) and limited the sample to non-Hispanic Black and non-Hispanic White women (n = 9,491). We employed normal regression and compared the association of race with BMI before and after adjusting for lifestyle factors (diet, physical activity, smoking, and drinking) and socioeconomic variables (education, ratio of income to poverty threshold, occupation, and home ownership). Data analysis was performed in 2012. Results: The difference between the BMI of Black and White women decreased from 2.91 to 2.17 Kg/m2 (i.e. a decrease of 27.2%) after adjusting for lifestyle factors and socioeconomic variables. Multivariate results also showed that higher consumption of fruit/vegetables and beans, lower consumption of red meat and sugar sweetened beverages, physical activity, smoking, regular drinking, and higher socioeconomic status were associated with lower BMI. Conclusions: Lifestyle factors and socioeconomic variables explain about a quarter of the BMI inequality between Black and White women. Thus, interventions that promote healthy eating and physical activity among Blacks as well as social policies that ameliorate socioeconomic inequalities between races might be able to reduce the current BMI inequality between Black and White women

Measurement of Fruit and Vegetable Intake Incorporating a Diversity, Equity, and Inclusion Lens. Comment on Di Noia, J.; Gellermann, W. Use of the Spectroscopy-Based Veggie Meter® to Objectively Assess Fruit and Vegetable Intake in Low-Income Adults

Disparities in fruit and vegetable intake (FVI) and diet-related diseases exist among low-income and racial/ethnic minority populations [1,2,3,4]. Intervention approaches to eliminate FVI disparities frequently utilize dietary assessment to measure impact. Studies measure FVI in varying ways, but do not fully account for diversity, equity, and inclusion (DEI)

A Cross-Sectional Exploration of Food Security, Depression, and CHAOS in Low-Income Households with Children

Depression has been linked to food security, particularly among low-income mothers. However, less is known about the relationship between CHAOS (Confusion, Hubbub, and Order Scale), a measure of family functioning such as timeliness and order, and varying levels food security. The purpose of this paper was to evaluate the relationship between depression, CHAOS, and sociodemographics on the level of food insecurity in a cross-sectional sample of low-income households with children, ages 0-18 years. Participants were recruited from low-income communities in a medium sized Midwestern city in the United States. Eligible participants were ≥19 years of age, a parent or primary caregiver to at least one child, and English- or Spanish- speaking. Survey items included participation in the Supplemental Nutrition Assistance Program (SNAP), food security, depression, CHAOS, and sociodemographics/family characteristics. Descriptives and Chi-square tests were conducted for all variables. Potential covariates were assessed (e.g., age, income, education, race/ethnicity, sex, SNAP participation, number of children and adults in the household, and marital status) and included in the final logistic regression model through backward elimination. All statistics were conducted using SAS (version 9.4, SAS Institute Inc., Cary, NC). Participants (N=252) were 75% female, 42% Non-Hispanic Black, 31% Non-Hispanic White, 12% Hispanic, and 15% other race categories. The mean number of children in households was 2.33 (SD=1.58), and half of the respondents reported earning ≤$10,000/year. Chi-Square tests showed univariate relationships between study variables and varying household food security levels. Those in the “high” and “medium” groups for depression and CHAOS were both more likely than the “low” groups to experience low or very low food security. Income and education were also related to food security, with low levels of education and low income being associated with low or very low food security. Age, sex, race/ethnicity, and marital status were not associated with food security status. The fully adjusted logistic regression models of depression and CHAOS accounted for 10% and 14% of the variance in food security, respectively (depression: (OR=0.31, CI=0.15-0.65; pp In the current study, CHAOS demonstrated a stronger relationship with food security than depression, when controlling for sociodemographics. CHAOS is a measurement that has not been tested widely among food insecure populations, but has been shown to be an influencing factor on child development, and might help explain some of the stress experienced by low-income families. Understanding more about the psychological aspects of food insecurity may help inform the development of tailored interventions to alleviate food insecurity in low-income households, and ultimately improve health, achievement and related outcomes in children

Multidisciplinary approaches to address food insecurity and nutrition among youth and their families

Our aim in publishing this issue of JARC on nutrition and food insecurity is to understand the factors associated with nutrition and food insecurity in the U.S. and around the world; to elucidate the potential consequences of food insecurity on physical and mental health; and to raise awareness and identify solutions to address this complex issue. We also aim to encourage collaboration across disciplines in order to frame initiatives that reduce these threats to child health, well-being and success

Food Security, Hunger-coping, and Hunger-Symptoms, and Their Relationship With Daily Fruit and Vegetable Intake Frequency in a Low-income Sample

Purpose To examine daily fruit and vegetable (FV) intake frequency by household food security status (high food security, marginal food security, low food security, and very low food security), and scores on three hunger-coping behavior scales (i.e., “rationing food supplies”, “financial strategies”, and “trade-off strategies”), and one physiological hunger symptoms scale among a very low-income population in the Midwestern United States. Methods Adult participants (aged 19 and older and caregivers to at least one child aged 0-18) were recruited from public libraries, food pantries, and other community locations to participate in a cross-sectional self-administered survey (n = 306). The primary outcome variable was daily FV intake frequency, measured from five items from the 16-item NYPANS dietary screener (fruit, green salad, carrots, other vegetables, and non-fried potatoes). These items were converted into daily frequencies and then summed. Daily FV intake frequency was also log transformed to meet statistical model assumptions. The main independent variables in this study were household food security (measured using the 6-item USDA Household Food Security Survey Module), scores on three 5-item hunger-coping behavior scales (max scores = 5), and one 5-item physiological hunger symptoms scale (max scores = 5). Potential sociodemographic and household characteristics (e.g., sex, age, race/ethnicity, education, income, marital status, food assistance, income assistance, food pantry use, household child to adult ratio, and automobile access) were assessed as potential covariates. Generalized linear models were used to assess the relationship between independent variables and daily FV intake frequency. Results 278 participants provided complete data for the outcome variable and were included in the sample. The sample was 73% female, 45% African American, 14% Hispanic, and 28% Caucasian. A majority of participants (60%) reported annual household incomes under $15,000. A high proportion of participants (42%) had very lowfood security, as compared to the national average of 6%. Participants reported consuming FV 2.40 times per day (SD=1.76) on average. Compared the high food secure group (In adjusted models), being in the “very low” food security group was associated with a 26% decrease, on average, in daily FV intake frequency (exp(β)=0.74, 95%CI=0.61-0.88, p Conclusions Compared to the high food secure group, those in the “very low” food secure group reported a significantly lower mean daily FV intake frequency, but not those in the “low” food secure group. This emphasizes the need to examine the “low” and “very low” food secure groups separately when studying factors associated with diet. Engaging in hunger-coping behaviors and experiencing physiological hunger symptoms was associated with decreased daily FV intake frequency. It is not clear if the hunger coping-behaviors themselves directly lead to decreased daily FV intake frequency, or if they were a marker for food insecurity and associated economic distress. These constructs and relationships should be examined in future studies. Programs and policies, which seek to promote fruit and vegetable intake among low-income populations, should target the “very low” food secure as the most at-risk for low intake. Also, researchers and community organizations working with food insecure groups could potentially measure hunger-coping behaviors and hunger symptoms in a complementary fashion to traditional measures of food insecurity to gain more contextual information about the experiences of this population

What’s Next for Tobacco Control Efforts? Health Equity Related Lessons Learned from a National Qualitative Study on Tobacco Control and Prevention

Context: Despite gains in the tobacco prevention and control movement, tobacco products remain a threat, with specific populations at greater risk. Objective: The purpose of this paper is to examine the role that leaders in the tobacco prevention and control movement have played in progress achieved to date and identify recommendations for the future using a health equity framework. The purpose of this paper is to examine the role that leading organizations in the tobacco prevention and control movement have played in progress achieved to date, identify future recommendations within the context of current public health priorities (e.g., obesity prevention), and explore potential for tobacco prevention and control using a health equity framework. Design: Qualitative key informant interviews were conducted with representatives from four key tobacco prevention and control organizations and their partners. Setting: Interviews were conducted on-site at tobacco prevention and control organization offices or by telephone. Participants: Key informant interviews (n=87) were conducted during July-December of 2017. Main outcome measures: Interviewees describe their work in providing technical assistance to leading public health and policy efforts in tobacco prevention and control. Interviews were transcribed verbatim and coded for meaning units. This analysis was conducted November 2017-January 2018. This study was determined exempt from review by the University of Nebraska Medical Center Institutional Review Board. Results: Three overarching themes emerged from our analysis: (1) maintaining tobacco prevention and control as a public health issue, (2) the importance of health equity in tobacco prevention and control work, and (3) planning for the next generation of tobacco prevention and control advocates. Certain populations remain untouched by broad public health approaches to reduce tobacco use. Conclusions: Tailored, focused, and comprehensive approaches to address health equity in tobacco prevention and control work across specific communities are needed. Adopting a health equity lens across public health priority areas (e.g., obesity, opioids, and tobacco prevention and control) could reduce prevalence among vulnerable groups for multiple conditions

Awareness, Use, and Perceptions of Low-Carbohydrate Diets

Introduction Low-carbohydrate diets (LCDs) have regained popularity in recent years, but public awareness and perceived healthfulness of LCDs have not been explored. We describe population awareness, use, and perceptions of the healthfulness of LCDs and examine differences by socio-demographic and communication variables. Methods Nationally representative data from the Health Information National Trends Survey (HINTS 2005) were analyzed by using multivariate logistic regression to examine independent correlates of awareness, use, and perceptions of the healthfulness of LCDs. Results Awareness of LCDs in the United States was high (86.6%). Independent correlates of awareness included being a college graduate, being non-Hispanic white, and having a high body mass index (BMI). Among respondents who were aware of LCDs, approximately 17% had tried LCDs during the last year. Independent correlates of LCD use included being a woman and having a high BMI. One-third of respondents who were aware of LCDs agreed that they are a healthy way to lose weight. Independent correlates of perceived LCD healthfulness included not being a high school graduate and being likely to change behavior in response to new nutrition recommendations. Conclusion This study is among the first to explore correlates of awareness, use, and perceptions of LCDs in a nationally representative sample. Despite high levels of awareness of LCDs, these diets are not used frequently and are not perceived as being healthy