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

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

Monthly SNAP benefit duration and its association with food security, hunger-coping, and physiological hunger symptoms among low-income families

Purpose The purpose of this study was to examine relationships between monthly Supplemental Nutrition Assistance Program (SNAP) benefit duration (i.e., the number of weeks each month a participants’ SNAP benefits provide food), and five primary outcome variables: food security, three hunger-coping behavior scales (rationing food supplies, financial strategies, making trade-offs), and physiological hunger symptoms, among a sample of families with children 0-18 years currently receiving SNAP benefits. Methods Baseline survey data were collected as part of a community-based intervention to alleviate child hunger. Participants included in the analytic sample were current SNAP recipients, parents (or caregivers), and 19 years of age and older (n=161). The survey assessed sociodemographics, household characteristics, food and financial assistance use, food security, three hunger-coping behavior scales, diet intake frequency, and one physiological hunger symptoms scale. The three hunger-coping scales and the physiological hunger scale were dichotomized into a “high” group (if above the sample median score) and a “low” group (if at or below the sample median score). Sociodemographic and family characteristics were included as covariates. Logistic regression models were used to assess relationships between monthly SNAP benefit duration and the five primary outcome variables in this study. Results Respondents were predominately mothers/female caregivers (78%), a majority reported annual family incomes below $10,000 (58%), and 80% were experiencing “low” or “very low” food security. The sample was 43% non-Hispanic black, 30% non-Hispanic white, 10% Hispanic/Latino, 17% American Indian or other racial/ethnic groups. Monthly SNAP benefit duration (M=2.8, SD=1.0) was not likely driven by allotment amount, because households’ percent of the federal poverty line (a proxy measure for allotment amount) was not associated with the number of weeks each month that benefits lasted (p=0.36). After controlling for relevant sociodemographic variables and household characteristics, the more weeks each month participants reported their SNAP benefits lasting, the lower their odds of experiencing “low” or “very low” food security (OR=0.444, 95%CI=0.259-0.761; p Conclusions These findings suggest that monthly SNAP benefit duration may be useful as a proxy for SNAP allotment adequacy in the context of food security and hunger. Families that were not able to make monthly benefits extend as long as other families were more likely to be food insecure and experience “high” levels of physiological hunger symptoms. While associations with hunger-coping behaviors were only significant in univariate analysis, they were in the direction expected and should be further examined in future studies as these behaviors may be exacerbate, buffer, or be symptoms of the experience of food insecurity and hunger among low-income families. Policies are needed to better tailor SNAP benefit allotments to the needs of disadvantaged families, and research and programming is needed to investigate ways these families can better utilize their current allotments as a potential path to address food insecurity and hunger

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

Long-Term Weight Loss Success and the Health Behaviors of Adults in the United States:Findings from a Nationally Representative Cross-sectional Study

Objective To describe the relationship between long-term weight loss (LTWL) success and lifestyle behaviours among US adults.Design Serial cross-sectional data from National Health and Nutrition Examination Survey cycles 2007–2014.Setting and participants Population-based nationally representative sample. The analytic sample included 3040 adults aged 20–64 years who tried to lose weight in the past year.Measures Participants were grouped into five LTWL categories (<5%, 5%–9.9%, 10%–14.9%, 15%–19.9% and ≥20%). Lifestyle-related behaviours included the following: alcohol intake, physical activity, smoking, fast-food consumption, dietary quality (Healthy Eating Index (HEI)) and caloric intake. Multivariable regression was employed adjusting for age, sex, race/ethnicity, marital status, education, household income and size, current body mass index and self-reported health status.Results Individuals in the 15%–19.9% LTWL group differed significantly from the reference group (<5% LTWL) in their physical activity and dietary quality (HEI) but not caloric intake. Specifically, they had a higher HEI score (β=3.19; 95% CI 0.39 to 5.99) and were more likely to meet physical activity guidelines (OR=1.99; 95% CI 1.11 to 3.55). In comparison, the ≥20% LTWL group was significantly more likely to smoke (OR=1.63; 95% CI 1.03 to 2.57) and to consume lower daily calories (β=−202.91; 95% CI –345.57 to –60.25) than the reference group; however, dietary quality and physical activity did not significantly differ.Conclusion Among a national sample of adults, a higher level of LTWL success does not necessarily equate to healthy weight loss behaviours. Future research should attempt to design interventions aimed at facilitating weight loss success while encouraging healthy lifestyle behaviours

Measures of sun exposure and sun protection practices for behavioural and epidemiological research

Objective: To develop, in a collaborative project, core measures of sun exposure and sun protection habits, since the lack of standard outcome measures hampers comparison of population surveys and interventions used in skin cancer prevention research. Design: A work group of investigators evaluated available questionnaire measures of sun exposure and protection. Their deliberations led to a proposed set of core questionnaire items for adults, adolescents aged 11 to 17 years, and children 10 years or younger. These core items were used in cognitive testing by the investigators. Cross-site summaries of methods, response samples, and descriptive data were prepared. Setting: Nine locations across the United States. Participants: The study population comprised 81 individuals. Results: No unusual response patterns were detected in any of the respondent groups or for any specific question. Some revisions to the survey items resulted from the need for clarification or emphasis of frames of reference such as adding or underlining key phrases in a question. Conclusions: The combination of expert review followed by cognitive interviewing yielded standardized core survey items with good clarity and applicability for measuring sun exposure and sun protection behaviors across a broad range of populations. They are appropriate for studies tracking morbidity and/or mortality and evaluating prevention program effects