20 research outputs found
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
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
A Head Start Farm to Family Pilot Program Increased Fruit and Vegetable Intake among Families
Fresh Produce, Fresh Start was a pilot farm to family study which tested the effectiveness of a local produce delivery program on dietary intake of Head Start participants. Utilizing a pre-test/post-test design, measures collected from Head Start parents included 24-hour recall of dietary intake, height and weight, and a food security questionnaire. Intent-to-treat analysis was conducted using paired t-tests. Significant increases were found in intake of vitamin A, vitamin C, fiber, vegetable, and fruit and vegetable servings combined (p \u3c .05) for participants (N = 51). In particular, fruit and vegetable intake increased by 1.4 servings per day. Food security status and weight status did not significantly change. Results indicate that a produce delivery program has potential to improve dietary intake of Head Start families and, possibly, other populations, impacting lifelong consumption habit
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
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
Who participates in internet-based worksite weight loss programs?
<p>Abstract</p> <p>Background</p> <p>The reach and representativeness are seldom examined in worksite weight loss studies. This paper describes and illustrates a method for directly assessing the reach and representativeness of a internet-based worksite weight loss program.</p> <p>Methods</p> <p>A brief health survey (BHS) was administered, between January 2008 and November 2009, to employees at 19 worksites in Southwest Virginia. The BHS included demographic, behavioral, and health questions. All employees were blinded to the existence of a future weight loss program until the completion of the BHS.</p> <p>Results</p> <p>The BHS has a participation rate of 66 percent and the subsequent weight loss program has a participation rate of 30 percent. Employees from higher income households, with higher education levels and health literacy proficiency were significantly more likely to participate in the program (p's < .01).</p> <p>Conclusions</p> <p>Worksite weight loss programs should include targeted marketing strategies to engage employees with lower income, education, and health literacy.</p
Developing an agenda for research about policies to improve access to healthy foods in rural communities: a concept mapping study
Background
Policies that improve access to healthy, affordable foods may improve population health and reduce health disparities. In the United States most food access policy research focuses on urban communities even though residents of rural communities face disproportionately higher risk for nutrition-related chronic diseases compared to residents of urban communities. The purpose of this study was to (1) identify the factors associated with access to healthy, affordable food in rural communities in the United States; and (2) prioritize a meaningful and feasible rural food policy research agenda.
Methods
This study was conducted by the Rural Food Access Workgroup (RFAWG), a workgroup facilitated by the Nutrition and Obesity Policy Research and Evaluation Network. A national sample of academic and non-academic researchers, public health and cooperative extension practitioners, and other experts who focus on rural food access and economic development was invited to complete a concept mapping process that included brainstorming the factors that are associated with rural food access, sorting and organizing the factors into similar domains, and rating the importance of policies and research to address these factors. As a last step, RFAWG members convened to interpret the data and establish research recommendations.
Results
Seventy-five participants in the brainstorming exercise represented the following sectors: non-extension research (n = 27), non-extension program administration (n = 18), “other� (n = 14), policy advocacy (n = 10), and cooperative extension service (n = 6). The brainstorming exercise generated 90 distinct statements about factors associated with rural food access in the United States; these were sorted into 5 clusters. Go Zones were established for the factors that were rated highly as both a priority policy target and a priority for research. The highest ranked policy and research priorities include strategies designed to build economic viability in rural communities, improve access to federal food and nutrition assistance programs, improve food retail systems, and increase the personal food production capacity of rural residents. Respondents also prioritized the development of valid and reliable research methodologies to measure variables associated with rural food access.
Conclusions
This collaborative, trans-disciplinary, participatory process, created a map to guide and prioritize research about polices to improve healthy, affordable food access in rural communities
Household food insecurity as a determinant of overweight and obesity among low-income Hispanic subgroups: Data from the 2011-2012 California Health Interview Survey.
Development and implementation of the National Cancer Institute's Food Attitudes and Behaviors Survey to assess correlates of fruit and vegetable intake in adults.
Low fruit and vegetable (FV) intake is a leading risk factor for chronic disease globally as well as in the United States. Much of the population does not consume the recommended servings of FV daily. This paper describes the development of psychosocial measures of FV intake for inclusion in the U.S. National Cancer Institute's 2007 Food Attitudes and Behaviors Survey.This was a cross-sectional study among 3,397 adults from the United States. Scales included conventional constructs shown to be correlated with fruit and vegetable intake (FVI) in prior studies (e.g., self-efficacy, social support), and novel constructs that have been measured in few- to- no studies (e.g., views on vegetarianism, neophobia). FVI was assessed with an eight-item screener. Exploratory factor analysis, Cronbach's alpha, and regression analyses were conducted.Psychosocial scales with Cronbach's alpha ≥0.68 were self-efficacy, social support, perceived barriers and benefits of eating FVs, views on vegetarianism, autonomous and controlled motivation, and preference for FVs. Conventional scales that were associated (p<0.05) with FVI were self-efficacy, social support, and perceived barriers to eating FVs. Novel scales that were associated (p<0.05) with FVI were autonomous motivation, and preference for vegetables. Other single items that were associated (p<0.05) with FVI included knowledge of FV recommendations, FVI "while growing up", and daily water consumption.These findings may inform future behavioral interventions as well as further exploration of other potential factors to promote and support FVI