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

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

Development of three new multidimensional measures to assess household food insecurity resilience in the United States

IntroductionThis study aimed to develop and test novel self-administered measures (Absorptive capacity, Adaptive capacity, and Transformative capacity) of three aspects of a household's resilience to financial shocks (e.g., job loss) that can increase food insecurity risk.MethodsMeasures were piloted in a convenience sample of households at risk for food insecurity in the United States. The survey included the new measures, validation variables (financial shock, household food security, general health, personal resilience to challenges, and financial wellbeing), and demographic questions. Exploratory factor analysis was used to assess dimensionality, internal consistency was assessed [Cronbach's alpha (CA)], and construct validity was assessed (Spearman's correlation). Also, brief screener versions of the full measures were created.ResultsParticipants in the analytic samples (n = 220-394) averaged 44 years old, 67% experienced food insecurity, 47% had a high school diploma or less, 72% were women, and the sample was racially/ethnically diverse. Scores for Absorptive capacity [one factor; CA = 0.70; Mean = 1.32 (SD = 0.54)], Adaptive capacity [three factors; CAs 0.83-0.90; Mean = 2.63 (SD = 0.85)], and Transformative capacity [three factors; CAs 0.87-0.95; Mean = 2.70 (SD = 1.10)] were negatively associated with financial shocks (−0.221 to −0.307) and positively associated with food insecurity (0.310-0.550) general health (0.255-0.320), personal resilience (0.231-0.384), and financial wellbeing (0.401-0.474).DiscussionThese findings are encouraging and support reliability and validity of these new measures within this sample. Following further testing, such as Confirmatory Factor Analysis in future samples, these measures may prove useful for needs assessments, program evaluation, intake screening, and research/surveillance. Widespread adoption in the future may promote a more comprehensive understanding of the food insecurity experience and facilitate development of tailored interventions on upstream causes of food insecurity

New measures to assess the “Other” three pillars of food security–availability, utilization, and stability

Abstract Background In recent reviews of available measures, no existing measures assessed all four pillars of food security and most only assessed one or two pillars–predominantly the access pillar. The purpose of this study was to preliminarily develop novel measures of availability, utilization, and stability that are complementary to the USDA’s household food security survey measure (HFSSM). Methods A formative phase included an expert advisory group, literature scans, and interviews with individuals experiencing food insecurity. From April-June 2021, the new measures were piloted in five states (California, Florida, Maryland, North Carolina, and Washington). The cross-sectional pilot survey included the new measures (perceived limited availability, utilization barriers, and food insecurity stability), scales and items for validation (e.g., food security, and self-reported dietary and health outcomes), and demographic questions. Exploratory factor analysis was used to assess dimensionality, internal consistency was assessed using Kuder-Richardson formula 21 (KR21), and convergent and discriminant validity were assessed using Spearman’s correlation coefficients. Also, a brief screener version was created for the utilization barriers measure that may be necessary for certain applications (e.g., clinical intake screening to inform referrals to assistance programs). Results The analytic samples (perceived limited availability (n = 334); utilization barriers (n = 428); food insecurity stability (n = 445)) were around 45 years old on average, most households had children, over two-thirds were food insecure, over three-fourths were women, and the samples were racially/ethnically diverse. All items loaded highly and unambiguously to a factor (factor loadings range 0.525–0.903). Food insecurity stability showed a four-factor structure, utilization barriers showed a two-factor structure, and perceived limited availability showed a two-factor structure. KR21 metrics ranged from 0.72 to 0.84. Higher scores for the new measures were generally associated with increased food insecurity (rhos = 0.248–0.497), except for one of the food insecurity stability scores. Also, several of the measures were associated with statistically significantly worse health and dietary outcomes. Conclusions The findings support the reliability and construct validity of these new measures within a largely low-income and food insecure sample of households in the United States. Following further testing, such as Confirmatory Factor Analysis in future samples, these measures may be used in various applications to promote a more comprehensive understanding of the food insecurity experience. Such work can help inform novel intervention approaches to address food insecurity more fully

Lessons Learned from the 2019 Nebraska Floods: Implications for Emergency Management, Mass Care, and Food Security

This qualitative study aimed to understand the actions, challenges, and lessons learned for addressing the food and water needs of flood survivors, with a special focus on vulnerable populations and the implications for food security, to inform future disaster response efforts in the U.S. Semi-structured in-depth interviews were conducted from January to August 2020 with the local, state, and national stakeholders (n = 27) involved in the disaster response to the 2019 Nebraska floods, particularly those involved in providing mass care, such as food, water, and shelter, for the flood survivors. The challenge themes were related to limited risk awareness and apathy, the large scope of the impact, the difficulty with coordination and communication, the challenges in risk communication, the limited local-level capacity, and the perceived stigma and fear limiting the utilization of governmental assistance. The mitigation recommendations included the need to consider zoning and infrastructure updates, the implementation of efficient systems that leverage technology for coordination and communication, and guidance on how to address certain human factors. This study reinforces previous findings related to flood disasters and adds to our understanding of disaster response and food insecurity. The practical takeaways from this study can inform future flood-related disaster mitigation approaches in Nebraska and other rural areas

Auxiliary measures to assess factors related to food insecurity: Preliminary testing and baseline characteristics of newly designed hunger-coping scales

The objective of this paper is to describe the development and preliminary testing of new scales to assess hunger-coping behaviors in a very low-income population. Very low-income adults (≥19 years), caregivers to at least one child (n = 306) completed a survey in a community setting (e.g., libraries). The survey included novel items assessing hunger-coping behaviors (e.g., trade-offs to purchase food, strategies to stretch and obtain food), food insecurity status, and physiological hunger. Internal consistency of hunger-coping scales, one-way ANOVAs, post-hoc analyses, Spearman's correlations among variables. Respondents were 75% female, 51% African American, 34% White, and 15% Hispanic, and 73% earned <$20,000/year. Four scales emerged: hunger-coping trade-offs, financial coping strategies, rationing coping strategies, and physiological adult hunger symptoms. All scales demonstrated acceptable internal consistency (α/KR-20 = 0.70–0.90). Predictive, construct, and content validity were demonstrated by correlations between hunger-coping scales and food insecurity (FI), measured with the USDA 6-item HFSSM (rs = 0.42–0.68, ps < 0.001). Higher levels of hunger-coping trade-offs (F(2,297) = 42.54, p < 0.001), financial coping strategies (F(2,287) = 70.77, p < 0.001), and rationing coping strategies (F(2,284) = 69.19, p < 0.001), corresponded with increasing levels of FI. These preliminary results support use of newly developed hunger-coping scales in a very low-income population and can compliment traditional food security measures to inform hunger prevention policy and programming. Keywords: Psychometrics, Survey, Food insecurity, Hunger-copin

Development and testing of the FRESH Foods Survey to assess food pantry clients’ dietary behaviours and correlates

ObjectiveTo use cognitive interviewing and pilot testing to develop a survey instrument feasible for administering in the food pantry setting to assess daily intake frequency from several major food groups and dietary correlates (e.g. fruit and vegetable barriers) - the FRESH Foods Survey.DesignNew and existing survey items were adapted and refined following cognitive interviews. After piloting the survey with food pantry users in the USA, preliminary psychometric and construct validity analyses were performed.SettingThree US food banks and accompanying food pantries in Atlanta, GA, San Diego, CA, and Buffalo, NY.ParticipantsFood pantry clients (n 246), mostly female (68 %), mean age 54·5 (sd 14·7) years.ResultsMeasures of dietary correlates performed well psychometrically: Cronbach's α range 0·71-0·90, slope (α) parameter range 1·26-6·36, and threshold parameters (β) indicated variability in the 'difficulty' of the items. Additionally, all scales had only one eigenvalue above 1·0 (range 2·07-4·71), indicating unidimensionality. Average (median, Q1-Q3) daily intakes (times/d) across six dietary groups were: fruits and vegetables (2·87, 1·87-4·58); junk foods (1·16, 0·58-2·16); fast foods and similar entrées (1·45, 0·58-2·03); whole-grain foods (0·87, 0·58-1·71); sugar-sweetened beverages (0·58, 0·29-1·29); milk and milk alternatives (0·71, 0·29-1·29). Significant correlations between dietary groups and dietary correlates were largely in the directions expected based on the literature, giving initial indication of convergent and discriminant validity.ConclusionsThe FRESH Foods Survey is efficient, tailored to food pantry populations, can be used to monitor dietary behaviours and may be useful to measure intervention impact

Data_Sheet_1_Development of three new multidimensional measures to assess household food insecurity resilience in the United States.docx

IntroductionThis study aimed to develop and test novel self-administered measures (Absorptive capacity, Adaptive capacity, and Transformative capacity) of three aspects of a household's resilience to financial shocks (e.g., job loss) that can increase food insecurity risk.MethodsMeasures were piloted in a convenience sample of households at risk for food insecurity in the United States. The survey included the new measures, validation variables (financial shock, household food security, general health, personal resilience to challenges, and financial wellbeing), and demographic questions. Exploratory factor analysis was used to assess dimensionality, internal consistency was assessed [Cronbach's alpha (CA)], and construct validity was assessed (Spearman's correlation). Also, brief screener versions of the full measures were created.ResultsParticipants in the analytic samples (n = 220-394) averaged 44 years old, 67% experienced food insecurity, 47% had a high school diploma or less, 72% were women, and the sample was racially/ethnically diverse. Scores for Absorptive capacity [one factor; CA = 0.70; Mean = 1.32 (SD = 0.54)], Adaptive capacity [three factors; CAs 0.83-0.90; Mean = 2.63 (SD = 0.85)], and Transformative capacity [three factors; CAs 0.87-0.95; Mean = 2.70 (SD = 1.10)] were negatively associated with financial shocks (−0.221 to −0.307) and positively associated with food insecurity (0.310-0.550) general health (0.255-0.320), personal resilience (0.231-0.384), and financial wellbeing (0.401-0.474).DiscussionThese findings are encouraging and support reliability and validity of these new measures within this sample. Following further testing, such as Confirmatory Factor Analysis in future samples, these measures may prove useful for needs assessments, program evaluation, intake screening, and research/surveillance. Widespread adoption in the future may promote a more comprehensive understanding of the food insecurity experience and facilitate development of tailored interventions on upstream causes of food insecurity.</p

State Agencies&rsquo; Perspectives on Planning and Preparing for WIC Online Ordering Implementation

Online ordering for the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) has the potential to alleviate some of the barriers faced by WIC participants when shopping with their WIC food benefits. WIC State agencies are the leaders in planning, preparing, implementing, maintaining, and expanding WIC online ordering. Cross-sectional web-based survey research was utilized to identify barriers to implementing WIC online ordering, as well as the support needed to overcome those barriers, from a WIC State agency perspective. Web surveys were administered to 81 WIC State agencies from 31 January 2022 to 1 April 2022. Descriptive statistics, independent samples t-test, and one-way analysis of variance were used to analyze the findings. Open-ended responses were analyzed using a qualitative iterative approach. WIC State agencies noted several barriers to implementing WIC online ordering, including limited staff capacity, WIC retailer interest, and technological capabilities