United States Households Research Articles

Eating Egg-Rich Diets and Modeling the Addition of One Daily Egg Reduced Risk of Nutrient Inadequacy among United States Adolescents with and without Food Insecurity

BackgroundAdolescents have the poorest dietary intake throughout their lifespan. Food insecurity worsens these nutritional risks. Eggs are a nutrient-dense strategy to increase nutrient quality. Objectives1) compare usual nutrient intakes, Dietary Reference Intake and protein compliance with recommendations and scores of micronutrient quality; and 2) analyze how adding 1 egg affects adolescents’ nutrient profiles, by food security status and egg-rich diets. MethodsDietary data of United States adolescents in the 2007–2018 National Health and Nutrition Examination Survey were analyzed (14–17 y; n = 3633). Egg-rich diet levels were categorized as 1) no eggs, 2) eggs as ingredients in dishes, or 3) primarily egg dishes. Food security status was classified using the United States Household Food Security Survey Module. The National Cancer Institute method was used to estimate usual nutrient intake and nutrient exposure scores [i.e., Food Nutrient Index (FNI) and Total Nutrient Index (TNI)]. Nutrient amounts from 1 medium egg were modeled on existing intakes. Pairwise t-tests determined significant differences. ResultsOver 60% of adolescents risked inadequate intake of calcium, choline, magnesium, vitamin D, and vitamin E regardless of food security status. Food-secure adolescents consuming primarily egg dishes had higher mean usual intakes of lutein + zeaxanthin (1544.1 μg), choline (408.4 mg), vitamin B2 (2.3 mg), selenium (128.6 μg), vitamin D (6 μg), docosahexaenoic acid (70 mg), and protein (89.1 g) than other groups (P < 0.0002). Those who were food secure and consuming eggs as ingredients in dishes demonstrated higher nutrient adequacy for magnesium (scored ∼66 out of 100), potassium (scored 81), and total scores (scored 72 and 69, respectively) for the TNI and FNI; and folate only (scored 92) for the TNI, than those who were food insecure and not consuming eggs (P < 0.0002). Adding 1 egg increased choline and vitamin D usual intakes for some groups and nutrient index scores for all groups (P < 0.0005). ConclusionsAdolescents are at substantial nutritional risk that was exacerbated by food insecurity and less egg consumption.

Food insecurity trends and disparities according to immigration status in the US households, 2011–2021

BackgroundFood insecurity related to immigration status remains largely underexplored. This study examined trends and disparities in household food insecurity by immigration status in the United States (US). MethodsWe analyzed data from 427,942 households from the US Current Population Survey Food Security Supplement from 2011 to 2021. Immigration status categories included recent immigrants (< 5 years), long-term immigrants (≥ 5 years), naturalized citizens, and US-born citizens. Food insecurity was assessed using validated questions on consistent access to enough food for an active and healthy life. ResultsFrom 2011 to 2021, food insecurity prevalence declined from 14.9 % (95 % CI, 14.5 %–15.3 %) to 10.2 % (95 % CI, 9.8 %–10.6 %). Among recent immigrants, prevalence decreased from 25.2 % (95 % CI, 23.1–27.4) in 2011 to 15.0 % (95 % CI, 12.8 %–17.2 %) in 2019, then increased to 17.7 % (95 % CI, 14.7 %–20.2 %) in 2020 and 17.4 % (95 % CI, 14.7 %–20.2 %) in 2021. Long-term immigrants' prevalence dropped from 20.4 % (95 % CI, 16.9 %–24.0 %) in 2011 to 10.2 % (95 % CI, 7.2 %–13.1 %) in 2018, then increased to 17.7 % (95 % CI, 13.7 %–21.7 %) in 2021. Naturalized citizens' prevalence decreased from 14.4 % (95 % CI, 12.9 %–15.9 %) to 9.5 % (95 % CI, 8.2 %–10.9 %). US-born citizens' prevalence decreased from 14.2 % (95 % CI, 13.8 %–14.6 %) to 9.7 % (95 % CI, 9.3 %–10.2 %). Compared to the US-born citizens, the adjusted prevalence ratio was 1.63 (95 % CI,1.57–1.69) for recent immigrants, 1.22 (95 % CI, 1.13–1.31) for long-term immigrants, and 0.94 (95 % CI, 0.90–0.98) for naturalized citizens. Significant disparities exist in subgroups. ConclusionsThe findings provide insights for stakeholders to address food insecurity among vulnerable immigrant groups in the US.

Income and racial disparity in household publicly available electric vehicle infrastructure accessibility

Publicly available electric vehicle (EV) infrastructure is pivotal for the United States EV transition by 2030. Existing infrastructure lacks equitably distribution to low-income and underrepresented communities, impeding mass adoption. Our study, utilizing 2021 micro-level data from 121 million United States households, comprehensively examines income and racial disparities in EV infrastructure accessibility. Our analysis of national averages indicates that lower-income groups face less accessibility to public EV infrastructure in both urban and rural geographies. Black households experience less rural accessibility, but greater urban accessibility compared to White households conditioning on income. However, our localized analysis uncovers significant variations in accessibility gaps among counties, rural and urban settings, and dwelling types. While Black households experience greater urban accessibility nationally, a closer look at the county level reveals diminishing advantages. This study identifies areas with pronounced inequality and urgent needs for enhanced accessibility, emphasizing the necessity for tailored solutions by local governments to enhance equitable access to EV infrastructure.

Environmental and structural factors associated with bacterial diversity in household dust across the Arizona-Sonora border

We previously reported that asthma prevalence was higher in the United States (US) compared to Mexico (MX) (25.8% vs. 8.4%). This investigation assessed differences in microbial dust composition in relation to demographic and housing characteristics on both sides of the US–MX Border. Forty homes were recruited in the US and MX. Home visits collected floor dust and documented occupants’ demographics, asthma prevalence, housing structure, and use characteristics. US households were more likely to have inhabitants who reported asthma when compared with MX households (30% vs. 5%) and had significantly different flooring types. The percentage of households on paved roads, with flushing toilets, with piped water and with air conditioning was higher in the US, while dust load was higher in MX. Significant differences exist between countries in the microbial composition of the floor dust. Dust from Mexican homes was enriched with Alishewanella, Paracoccus, Rheinheimera genera and Intrasporangiaceae family. A predictive metagenomics analysis identified 68 significantly differentially abundant functional pathways between US and MX. This study documented multiple structural, environmental, and demographic differences between homes in the US and MX that may contribute to significantly different microbial composition of dust observed in these two countries.

Associations Between Food Insecurity and Diet Quality Among Graduate Students and Postdoctoral Trainees in the Health Sciences at a Private University in Boston: A Cross-Sectional Study

BackgroundFood insecurity is a pivotal determinant of health outcomes. Little evidence exists on the association between food insecurity and health behaviors and outcomes, including diet quality, among graduate students or postdoctoral trainees. ObjectivesThis study aimed to examine the association between food insecurity and diet quality among graduate students and postdoctoral trainees at 3 health-focused graduate schools (public health, medical, and dental medicine) within Harvard University. MethodsBetween April and June 2023, 1287 graduate students and 458 postdoctoral trainees at the health-focused schools within Harvard University completed a web-based survey. The primary exposure was food security status, assessed using the United States Household Food Security Survey Module. The primary outcome was diet quality, measured using the 30-day Prime Diet Quality Score screener (ranges from 0 to 126, with higher scores indicating healthier diets). The associations between food insecurity and diet quality were examined using multivariable regression models, adjusting for sociodemographic covariates. ResultsAmong graduate students, compared with those with high food security, diet quality was significantly lower among those experiencing marginal food security [β: −4.7; 95% confidence interval (CI): −6.5, −2.9], low food security (β: −5.4; 95% CI: −7.6, −3.3), and very low food security (β: −4.4; 95% CI: −7.4, −1.4). Poor diet quality included lower intake frequencies of vegetables, fruits, beans/peas/soy products, nuts/seeds, poultry, fish, low-fat dairy, and liquid oils, and higher intake frequencies of refined grains/baked products, sugar-sweetened beverages, and fried foods. Among postdoctoral trainees, compared with those with high food security, diet quality was significantly lower among those experiencing low food security (β: −5.1; 95% CI: −8.8, −1.4), and very low food security (β: −5.2; 95% CI: −10.2, −0.2). Poor diet quality included lower intake frequencies of dark green leafy vegetables, other fruits, and whole grains. ConclusionsGraduate students and postdoctoral trainees who experienced degrees of food insecurity reported lower diet quality. These observations underscore the need for policies and interventions to simultaneously reduce food insecurity and improve diet quality.

Complementing the United States Household Food Security Survey Module with Items Reflecting Social Unacceptability

BackgroundSocial unacceptability of food access is part of the lived experience of food insecurity but is not assessed as part of the United States Household Food Security Survey Module (HFSSM). ObjectivesThe objectives were as follows: 1) to determine the psychometric properties of 2 additional items on social unacceptability in relation to the HFSSM items and 2) to test whether these 2 items provided added predictive accuracy to that of the HFSSM items for mental health outcomes. MethodsCross-sectional data used were from the Intersection of Material-Need Insecurities and HIV and Cardiovascular Health substudy of the Multicenter AIDS Cohort Study/Women’s Interagency HIV Study Combined Cohort Study. Data on the 10-item HFSSM and 2 new items reflecting social unacceptability were collected between Fall 2020 and Fall 2021 from 1342 participants from 10 United States cities. The 2 social unacceptability items were examined psychometrically in relation to the HFSSM-10 items using models from item response theory. Linear and logistic regression was used to examine prediction of mental health measured by the 20-item Center for Epidemiologic Studies Depression scale and the 10-item Perceived Stress Scale. ResultsThe social unacceptability items were affirmed throughout the range of severity of food insecurity but with increasing frequency at higher severity of food insecurity. From item response theory models, the subconstructs reflected in the HFSSM-10 and the subconstruct of social unacceptability were distinct, not falling into one dimension. Regression models confirmed that social unacceptability was distinct from the subconstructs reflected in the HFSSM-10. The social unacceptability items as a separate scale explained more (∼1%) variation in mental health than when combined with the HFSSM-10 items in a single scale, and the social unacceptability subconstruct explained more (∼1%) variation in mental health not explained by the HFSSM-10. ConclusionsTwo social unacceptability items used as a separate scale along with the HFSSM-10 predicted mental health more accurately than did the HFSSM-10 alone.

Food security and its association with socioeconomic status and dietary diversity in free living older people in Tehran, Iran

BackgroundFood security is a function of food access and dietary diversity. Older age is a period when adequate and diverse dietary intake is a challenge. This study aimed to investigate the association between food security on the one hand and dietary diversity and socioeconomic factors on the other hand among the free-living older people in the city of Tehran.MethodsIn this cross-sectional study, 583 older people, aged 60–80 years living in Tehran city, were selected through the systematic cluster sampling method. Food security was determined by the United States Household Food Security Survey Module (US-HFSSM (.Socioeconomic status (SES) and two 24-h recalls were obtained. Dietary Diversity Score (DDS) was calculated using the FAO 2010 guideline. Multinomial logistic regression was applied.ResultsThe average age of participants was 67.87 ± 5.86 years. Based on US-HFSSM, 56.9% of older people were food secure; while 25.7%, 14.2% and 3.2% suffered from food insecurity (FI) without hunger, with moderate hunger, and with severe hunger, respectively. There was no association between FI and DDS, even after controlling for confounders. FI with mild hunger was associated with household income (OR = 2.744, 95% CI = 1.100–6.846), while FI with severe hunger was associated with Fars ethnicity (OR = 0.146, 95% CI = 0.051–0.424).ConclusionsOverall, socio-economic status and demographic characteristics were the predictors of FI among older people. The findings can have implication in design and targeting of interventions directed at older people.

Trends and disparities in prevalence of cardiometabolic diseases by food security status in the United States

BackgroundPrevious studies have demonstrated the association between food security and cardiometabolic diseases (CMDs), yet none have investigated trends in prevalence of CMDs by food security status in the United States (US).MethodsSerial cross-sectional analysis of the US nationally representative data from National Health and Nutrition Examination Survey (1999–2018) was conducted among adults aged 20 years or older. Food security status was defined by the US Household Food Security Survey Module (full, marginal, low, and very low food security). We estimated the age-adjusted prevalence of CMDs including obesity, hypertension, diabetes, and coronary heart disease by food security status. Racial and ethnic disparities in age-adjusted prevalence of CMDs by food security status were also assessed.ResultsA total of 49,738 participants were included in this analysis (weighted mean age 47.3 years; 51.3% women). From 1999 to 2018, the age-adjusted prevalence of CMDs was lower in full food secure group as compared with other groups. For example, trends in hypertension decreased from 49.7% (47.5-51.8%) to 45.9% (43.8-48.0%) (P-trend = 0.002) among the full and from 54.2% (49.9-58.5%) to 49.7% (46.8-52.6%) (P-trend = 0.02) among the marginal but remained stable among the low at 49.7% (47.9-51.6%) and among the very low at 51.1% (48.9-53.3%) (P-interaction = 0.02). Prevalence of diabetes increased from 8.85% (8.15-9.60%) to 12.2% (11.1-13.5%) among the full (P-trend < 0.001), from 16.5% (13.2-20.4%) to 20.9% (18.6-23.5%) (P-trend = 0.045) among the marginal and from 14.6% (11.1-19.0%) to 20.9% (18.8-23.3%) (P-trend = 0.001) among the low but remained stable at 18.8% (17.0-20.9) among the very low (P-trend = 0.35) (P-interaction = 0.03). Racial and ethnic differences in prevalence of CMD by food security status were observed. For example, among individuals with full food secure status, the prevalence of diabetes was 9.08% (95% CI, 8.60-9.59%) for non-Hispanic whites, 17.3% (95% CI, 16.4-18.2%) for non-Hispanic blacks, 16.1% (95% CI, 15.0-17.4%) for Hispanics and 14.9% (95% CI, 13.3-16.7%) for others.Conclusions and relevancePrevalence of CMDs was greatest among those experiencing food insecurity, and food insecurity disproportionately affected racial/ethnic minorities. Disparities in CMD prevalence by food security status persisted or worsened, especially among racial/ethnic minorities.

Food Insecurity, Race and Ethnicity, and Cognitive Function Among United States Older Adults

BackgroundCognitive impairment and dementia are severe public health issues in aging populations, which can be exacerbated by insufficient or unhealthy dietary intake. Food (in)security status is linked to cognitive function among older adults, but the relationship is complex and can vary by sociodemographic characteristics. ObjectiveThis article aimed to investigate the association between food insecurity and cognitive function among United States older adults and explore potential variations by race and ethnicity groups. MethodsWe prospectively examined changes in cognitive function and incidence of cognitive impairment alongside the presence of self-reported food insecurity among older adults of different racial and ethnic groups. Data were from the 2012–2018 Health and Retirement Study (HRS) and the 2013 Health Care and Nutrition Study (HCNS), including N = 6,638 United States adults aged 50 years and older. Food insecurity was measured by a self-reported United States Household Food Security Survey Module, and cognitive function was assessed by the modified version of the Telephone Interview for Cognitive Status. ResultsResults showed that 17% of United States older adults reported food insecurity in the 2013 HCNS. Compared with food secure older adults, those reporting food insecurity experienced worsened cognitive functioning over time (B = −0.63, p < .001), and they were more likely to have onset of cognitive impairment (OR= 1.46, p < .001) in the 6-y observation. Compared with non-Hispanic White older adults, being non-Hispanic Black, non-Hispanic Other, or Hispanic was associated with 2.96, 2.09, or 1.26 odds (p < .001) of cognitive impairment (2012–2018), respectively. Older adults of racial and ethnic minority groups also had higher risks of experiencing the double burden of cognitive impairment alongside food insecurity compared with non-Hispanic White older adults. ConclusionFindings underscore racial and ethnic structural disparities in food security and cognitive health in the United States aging population.

Assessment of the variation in nutritional composition and safety of dried recovered food from United States households and prospects for use in chicken feed

IntroductionNew poultry feed valorization pathways for recovered household food could be enabled by commercially available household devices that dry uneaten food material, arrest spoilage, and preserve nutrient content. However, the nutrient composition, safety, and feed incorporation potential of dried recovered household food (DRHF) is presently unknown.MethodsThirty-eight households spanning 31 states participated in a 4-to-6-week survey to generate and collect food residues that were dried using an in-home device. The DRHF samples were evaluated for chemical composition, digestibility of energy and amino acids, and safety to determine their potential for inclusion in chicken feed.Results and discussionThe DRHF had average levels of 15.9% crude protein, 13.3% crude fat, and 22.6% neutral detergent fiber, and 3.18 kcal/g of nitrogen-adjusted true metabolizable energy (by dry weight). The Windows User-Friendly Feed Formulation 2.1 modeler was used to perform linear programming and develop chicken feed rations for broilers and layers that incorporated DRHF alongside conventional feed ingredients, including corn, soybean meal, dicalcium phosphate, limestone, synthetic amino acids, salt, vitamin premix, and mineral premix. The feed formulation results showed that, on average, DRHF incorporation rates of up to 33 and 37% (by weight) are predicted to avoid any nutrient deficiencies or electrolyte imbalances in the broiler and layer rations, respectively. In the broiler ration, DRHF displaced corn, soybean meal, and limestone to varying degrees, while corn, soybean meal, animal fat, dicalcium phosphate, and limestone were substantially displaced in the layer rations. Addition of vitamin premix was predicted as necessary to facilitate DRHF inclusion in the layer rations. Furthermore, foodborne pathogens, mycotoxins, and heavy metals were either absent or below United States regulatory threshold levels. Measured levels of biogenic amines and fat/oil oxidation were consistent with prior research showing compatibility with chickens. These results can inform future in vivo feeding trials to validate the use of DRHF with varying properties in poultry feed.

Are dynamic tariffs effective in reducing energy poverty? Empirical evidence from US households

Statistics from the United States (US) Energy Information Administration and the US Census Bureau reveal that a growing number of households are threatened by energy poverty. Both argue that energy poverty is becoming more common than traditional poverty. Recently, dynamic pricing programmes have been made possible by the increasing use of smart meters and other devices which enable consumers to play a more active role in electricity systems. This study aims to determine if dynamic pricing programmes can reduce the energy burden on households and diminish the number suffering from energy poverty. Data from the Annual Electric Power Industry Report and the American Community Survey were merged and analysed by state and year to assess the impact of dynamic pricing on energy poverty for 51 US states from 2013 until 2021. The results show that time-of-use and critical-peak-pricing tariffs can reduce the number of households suffering from energy poverty. Conversely, CPP and RTP increase the number of households in energy poverty. These findings indicate that policymakers and retailers need to develop pricing programmes that will encourage consumers to modify their consumption habits and enhance the integration of intermittent renewable energy sources and reduce energy poverty.

Pet safety guidelines for pediatric transplant recipients.

Approximately 70% (90.5 million) of United States (US) households own at least one pet. Dogs are the most common, making up about 38% of all household pets, followed by cats, which make up 25%. Other pets such as fish, birds, reptiles, and small animals such as hamsters, gerbils, and rabbits are less common household members. Pets are often considered a part of the family and there are significant medical and psychosocial benefits to pet ownership; however, the possibility of disease transmission exists related to the type of animal and infectious organism, and specific human risk factors. Immunocompromised individuals may be at increased risk of serious illness from zoonotic infections. During the transplant evaluation and routinely posttransplant, the multidisciplinary team should inquire about pet ownership and animal exposures to guide on potential risks. This review discusses the most common diseases seen in various household pets including dogs, cats, birds, fish, and some farm animals. We will also present guidelines for pet safety and include strategies to decrease the risk of infection while supporting the benefits of pet ownership after transplant.

Food Retailer, Restaurant, and Online Grocery Shopping Use and Household Food Waste: Evidence from U.S. Households in 2022

ABSTRACT In United States (U.S.) household food waste, which is generated in part from food purchased from food retailers, is believed to be a major contributor to national food waste. Understanding the relationship between household food shopping behavior and food waste is important for developing food waste reduction programs, particularly given the impact of the COVID-19 pandemic on households’ use of online grocery shopping and restaurants. Data from a sample of U.S. households in 2022 was analyzed using probit regression for the probability of any household food waste and a log-linear regression for mean household food waste, conditional on any food waste. This study found that online grocery shopping was associated with greater quantities of food waste overall and specifically fruit and vegetable waste. We also find the use of restaurants was associated with greater food waste, while short planning durations for grocery shopping were associated with less food waste.

Characterizing household emergency preparedness levels for natural disasters during the COVID-19 pandemic: United States, 2020-2021.

It is vital that households are prepared for a natural disaster to help mitigate potential negative impacts. Our goal was to characterize United States household preparedness on a national level to guide next steps to better prepare for and respond to disasters during the COVID-19 pandemic. We added 10 questions to the existing Porter Novelli's ConsumerStyles surveys in fall 2020 (N = 4,548) and spring 2021 (N = 6,455) to examine factors that contribute to overall household preparedness levels. Being married (odds ratio (OR), 1.2), having children in the home (OR, 1.5), and having a household income of $150,000 or more (OR, 1.2) are all associated with increased preparedness levels. Those in the Northeast are least likely to be prepared (OR, 0.8). Persons living in mobile homes, Recreational Vehicles, boats, or vans are half as likely to have preparedness plans compared to those living in single family homes (OR, 0.6). As a nation, there is much work to be done in terms of preparedness to reach performance measure targets of 80 percent. These data can help inform response planning and the updating of communication resources such as websites, fact sheets, and other materials to reach a wide audience of disaster epidemiologists, emergency managers, and the public.

Assessing U.S. consumers' carbon footprints reveals outsized impact of the top 1%

Unsustainable environmental degradation and extreme economic inequality are two of humanity's most pressing challenges. They are intimately linked. Climate-altering greenhouse gas (GHG) emissions are disproportionately driven by consumption among wealthy and socially privileged groups, yet poorer and socially marginalized peoples face disproportionate climate harms. Here we use the Eora MRIO database and Consumer Expenditure Surveys to quantify GHG emissions related to goods and services consumed by United States households between 1996 and 2019 - including construction of a synthetic dataset to estimate top 1% and top 0.1% household emissions. Top 1% households are of particular interest because their emissions have been largely missed or simplistically and inaccurately estimated in past analysis, yet they exert disproportionate political power in shaping U.S. climate policy. Results suggest significant GHG inequality across economic class and racial lines. In 2019, we estimate the U.S. top 0.1% had emissions (955 t CO2e) 57× higher than bottom decile U.S. households and 597× higher than an average low-income country household. White non-Hispanic household emissions were 1.3× higher than Black households. If climate policy does not account for such extreme emissions disparities, it will limit effectiveness, erode public support, and disproportionately harm economic and socially marginalized groups.

Delayed medical care due to transportation barriers among US children with atopic dermatitis.

Our objective was to examine the prevalence and predictors of delayed medical care due to transportation barriers among children with atopic dermatitis (AD) living in the United States (US). We analyzed data from the 1998-2018 National Health Interview Survey, a nationally representative survey of US households. In 2018, transport-delayed care was reported for 3.4% of US children with AD, representing approximately 279,000 children annually given the National Health Interview Survey's weighted survey design, and was more common among patients of lower socioeconomic status. Targeted interventions aimed at reducing transportation barriers to healthcare among at-risk AD patients may reduce health disparities related to AD.

Multivariate understanding of income and expenditure in United States households with statistical learning

In recent decades, data-driven approaches have been developed to analyze demographic and economic surveys on a large scale. Despite advances in multivariate techniques and learning methods, in practice the analysis and interpretations are often focused on a small portion of available data and limited to a single perspective. This paper aims to utilize a selected array of multivariate statistical learning methods in the analysis of income and expenditure patterns of households in the United States using the Public-Use Microdata from the Bureau of Labor Statistics Consumer Expenditure Survey (CE). The objective is to propose an effective data pipeline that provides visualizations and comprehensive interpretations for applications in governmental regulations and economic research, using thirty-five original survey variables covering the categories of demographics, income and expenditure. Details on feature extraction not only showcase CE as a unique publicly-shared big data resource with high potential for in-depth analysis, but also assist interested researchers with pre-processing. Challenges from missing values and categorical variables are treated in the exploratory analysis, while statistical learning methods are comprehensively employed to address multiple economic perspectives. Principal component analysis suggests that after-tax income, wage/salary income, and the quarterly expenditure in food, housing and overall as the five most important of the selected variables, while cluster analysis identifies and visualizes the implicit structure between variables. Based on this, canonical correlation analysis reveals high correlation between two selected groups of variables, one of income and the other of expenditure.

Aided recall of The Real Cost e-cigarette prevention advertisements among a nationally representative sample of adolescents

E-cigarette use among youth remains a significant public health concern. In 2018, The Real Cost campaign began disseminating messages about the harms of vaping, primarily using digital media. We sought to determine the prevalence of aided recall of The Real Cost e-cigarette prevention ads and identify potential differences by participant characteristics. Participants were a nationally representative sample of adolescents living in United States (US) households recruited by the National Opinion Research Center (NORC) at the University of Chicago’s AmeriSpeak panel in September and October of 2020. A total of 623 adolescents completed the survey. Analyses were weighted to represent the distribution of youth in the US, and effect sizes for individual characteristics were estimated using an adjusted marginalized two-part model. Seventy-one percent of adolescents recalled at least one of the five The Real Cost e-cigarette prevention ads, with individual ad recall ranging from a low of 38.8% (for Magic) to a high of 50.1% (for Narrative). Adjusted estimates of aided recall identified significantly higher recall among Black adolescents and those that used social media at medium or high frequencies (p < 0.05). Results support ongoing efforts by the FDA to reach youth with e-cigarette prevention messages using primarily digital media.

Economic Stimulus and Financial Instability: Recent Case of the U.S. Household

The effectiveness of government policies and economic stimuli during the 2007 financial crisis and the COVID-19 pandemic are compared in this study. While the 2007 financial crisis started in the real estate market and spread through the contagion effect to other sectors, the pandemic halted the all sectors of the global economy simultaneously. In the United States, where the social safety net is not as strong as other advanced economies, the unemployment rate skyrocketed and many families lost income. The federal government countered with various relief packages, which have been, unlike the rounds of quantitative easing prevalent after the 2007 financial crisis, direct payments to households and businesses. The Agent Instability Indicator and default elasticity coefficient are used to quantitatively assess the financial instability and default risk of subgroups of United States households classified by percentile of income and net worth. It turns out that the financial instability level of the United States household during the pandemic has not been as high as that during the 2007 crisis and the Great Recession. It is concluded that the direct handout of cash—so called helicopter money—is more effective at preventing financial collapse and stabilizing the economy than quantitative easing through asset purchase.

Applying a Health Access Framework to Understand and Address Food Insecurity.

The prevalence of food insecurity (FI) in United States households has fluctuated between 10% and 15% for the past two decades, well above the Healthy People 2030 goal. FI is associated with increased use of healthcare services and the prevalence of multiple health conditions. Our current efforts to address FI may be limited by measures that lack granularity, timeliness, and consideration of larger food access barriers (e.g., availability of food providers and lack of knowledge regarding where to obtain food). If the Healthy People 2030 goal of reducing FI to 6% is to be met, we need better and faster methods for monitoring and tracking FI in order to produce timely interventions. In this paper, we review key contributors of FI from an access barrier perspective, investigate the limitations of current FI measures, and explore how data from one nonprofit organization may enhance our understanding of FI and facilitate access to resources at the local level. We also propose a conceptual framework illustrating how nonprofit organizations may play an important role in understanding and addressing FI and its intertwined social needs, such as housing and healthcare problems.