US Households Research Articles

Income Inequality, Household Debt, and Consumption Growth in the United States

In this paper, the SV-TVP-VAR model is used to study the relationships between income inequality, household debt, and consumption growth in the US. This is of great significance for studying whether household debt can become a “substitute” for income and whether it is possible to achieve sustainable growth in consumption under the background of worsening income inequality. According to the research results, the main conclusions are as follows: Firstly, the widening of income inequality would increase consumption in the short term but restrain consumption in the medium and long term, as the relationship between them would turn from positive to negative. Secondly, household debt could improve consumption in the short term but reduce consumption in the medium and long term, with long-term effects being greater than medium-term effects, which means that the long-term negative impact of US household debt on household consumption would be persistent. Lastly, widening income inequality has led to rising household debt over different maturities.

Parent-Reported Use of Pediatric Primary Care Telemedicine: Survey Study.

Telemedicine delivered from primary care practices became widely available for children during the COVID-19 pandemic. Focusing on children with a usual source of care, we aimed to examine factors associated with use of primary care telemedicine. In February 2022, we surveyed parents of children aged ≤17 years on the AmeriSpeak panel, a probability-based panel of representative US households, about their children's telemedicine use. We first compared sociodemographic factors among respondents who did and did not report a usual source of care for their children. Among those reporting a usual source of care, we used Rao-Scott F tests to examine factors associated with parent-reported use versus nonuse of primary care telemedicine for their children. Of 1206 respondents, 1054 reported a usual source of care for their children. Of these respondents, 301 of 1054 (weighted percentage 28%) reported primary care telemedicine visits for their children. Factors associated with primary care telemedicine use versus nonuse included having a child with a chronic medical condition (87/301, weighted percentage 27% vs 113/753, 15%, respectively; P=.002), metropolitan residence (262/301, weighted percentage 88% vs 598/753, 78%, respectively; P=.004), greater internet connectivity concerns (60/301, weighted percentage 24% vs 116/753, 16%, respectively; P=.05), and greater health literacy (285/301, weighted percentage 96% vs 693/753, 91%, respectively; P=.005). In a national sample of respondents with a usual source of care for their children, approximately one-quarter reported use of primary care telemedicine for their children as of 2022. Equitable access to primary care telemedicine may be enhanced by promoting access to primary care, sustaining payment for primary care telemedicine, addressing barriers in nonmetropolitan practices, and designing for lower health-literacy populations.

Developing and Evaluating a Measure of the Willingness to Use Pandemic-Related mHealth Tools Using National Probability Samples in the United States: Quantitative Psychometric Analyses and Tests of Sociodemographic Group Differences.

There are no psychometrically validated measures of the willingness to engage in public health screening and prevention efforts, particularly mobile health (mHealth)-based tracking, that can be adapted to future crises post-COVID-19. The psychometric properties of a novel measure of the willingness to participate in pandemic-related screening and tracking, including the willingness to use pandemic-related mHealth tools, were tested. Data were from a cross-sectional, national probability survey deployed in 3 cross-sectional stages several weeks apart to adult residents of the United States (N=6475; stage 1 n=2190, 33.82%; stage 2 n=2238, 34.56%; and stage 3 n=2047, 31.62%) from the AmeriSpeak probability-based research panel covering approximately 97% of the US household population. Five items asked about the willingness to use mHealth tools for COVID-19-related screening and tracking and provide biological specimens for COVID-19 testing. In the first, exploratory sample, 3 of 5 items loaded onto 1 underlying factor, the willingness to use pandemic-related mHealth tools, based on exploratory factor analysis (EFA). A 2-factor solution, including the 3-item factor, fit the data (root mean square error of approximation [RMSEA]=0.038, comparative fit index [CFI]=1.000, standardized root mean square residual [SRMR]=0.005), and the factor loadings for the 3 items ranged from 0.849 to 0.893. In the second, validation sample, the reliability of the 3-item measure was high (Cronbach α=.90), and 1 underlying factor for the 3 items was confirmed using confirmatory factor analysis (CFA): RMSEA=0, CFI=1.000, SRMR=0 (a saturated model); factor loadings ranged from 1.000 to 0.962. The factor was independently associated with COVID-19-preventive behaviors (eg, "worn a face mask": r=0.313, SE=0.041, P<.001; "kept a 6-foot distance from those outside my household": r=0.282, SE=0.050, P<.001) and the willingness to provide biological specimens for COVID-19 testing (ie, swab to cheek or nose: r=0.709, SE=0.017, P<.001; small blood draw: r=0.684, SE=0.019, P<.001). In the third, multiple-group sample, the measure was invariant, or measured the same thing in the same way (ie, difference in CFI [ΔCFI]<0.010 across all grouping categories), across age groups, gender, racial/ethnic groups, education levels, US geographic region, and population density (ie, rural, suburban, urban). When repeated across different samples, factor-analytic findings were essentially the same. Additionally, there were mean differences (ΔM) in the willingness to use mHealth tools across samples, mainly based on race or ethnicity and population density. For example, in SD units, suburban (ΔM=-0.30, SE=0.13, P=.001) and urban (ΔM=-0.42, SE=0.12, P<.001) adults showed less willingness to use mHealth tools than rural adults in the third sample collected on May 30-June 8, 2020, but no differences were detected in the first sample collected on April 20-26, 2020. Findings showed that the screener is psychometrically valid. It can also be adapted to future public health crises. Racial and ethnic minority adults showed a greater willingness to use mHealth tools than White adults. Rural adults showed more mHealth willingness than suburban and urban adults. Findings have implications for public health screening and tracking and understanding digital health inequities, including lack of uptake.

United States Consumers’ Landscaping Expenditures: A Case of Garden and Lawn Care Services and Equipment

The economic downturns of 2007–09 and the COVID-19 pandemic affected most industries in the United States, including landscape services and equipment sales, and provoked both short-term disruptions and long-term changes. To understand how the landscaping industry has responded, we investigated patterns of consumer expenditures on landscape services and equipment from 2009 through 2021 using a representative sample of 76,895 US households. We categorized US households as detached single-family residents and townhouse residents to more fully articulate the factors that turned potential consumers into purchasers and the factors that affected purchasers’ expenditures. We used a double-hurdle model to identify key factors that drive consumer demand for landscape services and equipment over time, including social-demographics, geographic characteristics, housing conditions, year and seasonal trends, and the COVID-19 pandemic. We found that during the studied period, the demand for landscape services declined in terms of both the percentage of consumers purchasing the services and the purchasers’ average expenditures, while the demand for do-it-yourself (DIY) equipment remained relatively unchanged. In response to the COVID-19 pandemic, the percentage of consumers who purchased landscape services increased, while the expenditures on landscape services decreased in 2020 and then began to rebound in 2021, but not enough to reverse the overall downward trend. In contrast, purchases of DIY equipment were relatively stable in response to the COVID-19 pandemic and mainly relied on current consumers.

Drinking Water From Private Wells and Risks to Children.

Drinking water for >23 million US households is obtained from private wells. These wells can become contaminated by chemicals, naturally occurring toxic substances, or pathogenic organisms that can cause illness in children. Although the US Environmental Protection Agency and most states offer some guidance for the construction, maintenance, and testing of private wells, most states only regulate the construction of new private water wells. With few exceptions, well owners are responsible for their own wells after the initial construction. Children may also drink well water at childcare or when traveling. This policy statement provides recommendations for the inspection, testing, and remediation of private wells to provide safe drinking water for children.

Drinking Water From Private Wells and Risks to Children.

Drinking water for approximately 23 million US households is obtained from private wells. These wells can become contaminated by pollutant chemicals or pathogenic organisms, leading to significant illness. Although the US Environmental Protection Agency and all states offer guidance for construction, maintenance, and testing of private wells, most states only regulate the construction of new private water wells. With a few exceptions, there is little regulation after construction. Well owners are responsible for their own wells. Children may also drink well water at child care or when traveling. Illness resulting from children's ingestion of contaminated water can be severe. This report reviews relevant aspects of groundwater and wells; describes the common chemical and microbiologic contaminants; gives an algorithm with recommendations for inspection, testing, and remediation for wells providing drinking water for children; and provides references and Internet resources for more information.

Predictors of Participation for Sexuality Items in a U.S. Population-Based Online Survey.

Online surveys are a popular tool in sex research and it is vital to understand participation bias in these surveys to improve inferences. However, research on this topic is limited and out of date given the increase in online survey methodology and changes in sexual attitudes. This study examined whether demographics and sexual abuse and assault history predict opting into online survey questions about sex. The sample was recruited for a longitudinal mental health study using a probability-based sampling panel developed to represent the US household population. Participants were masked to the inclusion of sexual content and given a choice to opt into sex questions. Analyses were run on raw and weighted responses to adjust for sampling bias. Of the total sample (n = 476, 62.6% female), 69% opted into sex questions. Raw analysis showed that participants were more likely to be younger, have higher education and income, and have a history of sexual abuse or assault. No racial, gender, relationship status, or regional differences were found. After weighting, effect sizes were reduced for most predictor variables, and only a history of sexual abuse or assault still significantly predicted participation. Results suggest that key demographic features do not have a strong association with participation in sex survey questions. Reasons for participation bias stemming from sexual abuse or assault history should be examined further. This study demonstrates how researchers should continue to monitor participation bias in sex survey research as online methodologies and sexual attitudes evolve over time.

Do People Successfully Manage Their Nest Eggs Through Retirement? Evidence from the Evolution of US Household Balance Sheets

Do People Successfully Manage Their Nest Eggs Through Retirement? Evidence from the Evolution of US Household Balance Sheets

Net worth poverty and adult health

This study broadens the traditional focus on income as the primary measure of economic deprivation by providing the first analysis of wealth deprivation, or net worth poverty (NWP), and adult health. Net worth poverty—having wealth (assets minus debts) less than one-fourth of the federal poverty line—likely exacerbates the negative effects of income poverty (IP). In 2019, one-third of US households were net worth poor, with substantially higher rates among Black (60%) relative to White (25%) households. We estimate longitudinal growth curve (i.e., linear mixed effects) models to test how NWP, IP, and the interaction of the two predict a diverse set of health measures. We also consider whether NWP resulting from either low assets or high debts is more predictive of health outcomes and test for heterogeneous associations by race. Data come from Panel Study of Income Dynamics on 8,962 individuals ages 25 to 64, observed between 2011 and 2019 (n = 26,776). Adjusting for income poverty, net worth poverty, relative to no poverty, was associated with a one-quarter to one-third increase in the likelihood of reporting poor self-rated health, psychological distress, and work limitations. Simultaneously experiencing both NWP and IP was associated with the largest deficits. Both asset-driven (low asset) and debt-driven (high debt) NWP reduced health, but asset-driven NWP had stronger associations (e.g., a 5-percentage point increase of being in poor health, twice that of debt-driven). White, relative to Black, adults exhibited statistically larger associations for psychological distress (4.3 vs 1.1 percentage points) and work limitations (3.7 vs. 1.5 percentage points). White and Black adults who were jointly net worth and income poor exhibited the most disadvantage. Findings underscore how wealth is a critical component of financial deprivation and that wealth deprivation, particularly the lack of assets, merits attention in socioeconomic studies of health inequalities.

DELIVERING FOOD RESOURCES AND KITCHEN SKILLS TO OLDER ADULTS WITH FOOD INSECURITY AND HYPERTENSION

Abstract Non-Hispanic Black adults experience higher rates of food insecurity, poor diet quality, and hypertension compared with their non-Hispanic White counterparts. Delivering Food Resources and Kitchen Skills (FoRKS) is an integrated intervention that concurrently addresses food insecurity, nutrition literacy, and chronic disease self-management among older patients at a Federally Qualified Health Center. Two clinical dietitians led virtual hypertension self-management, cooking skills, and nutrition education classes twice per week for 16 weeks. Participants registered for classes, ordered free meal ingredients, and received encouragement from the dietitians through the FoRKS mobile technology application. This study presents diet quality descriptive results from the FoRKS pilot intervention conducted at Eskenazi Health from September 2021 to January 2022 in Indianapolis, Indiana. Participants (n=13) with hypertension (systolic blood pressure ≥120 mm Hg) and who identified as food insecure per the 18-item US Household Food Security Survey Module completed the 2018-version of the National Cancer Institute’s Automated Self-Administered 24-hour (ASA24) Dietary Assessment Tool at baseline and post-intervention assessments. Healthy Eating Index (HEI)-2015 scores range from 0-100 and were calculated from ASA24 data. Participants were non-Hispanic Black (n=12) or non-Hispanic White (n=1) with mean age 58 years (range 53-65 years). Mean±SD HEI-2015 scores improved from 51.5±11.9 at baseline to 55.2±12.5 after the intervention. This preliminary data supports further investigation into the efficacy of integrated lifestyle interventions, i.e., FoRKS, using a randomized controlled study design. Addressing food and culinary skills can lead to improvements in diet quality that may translate to improved disease management among diverse older adults.

Food security and food access during the COVID-19 pandemic: Impacts, adaptations, and looking ahead.

The coronavirus disease 2019 (COVID-19) pandemic continues to alter US household food consumption and food spending. Although terminology used to describe food insecurity has varied during the COVID-19 pandemic, many reliable estimates illustrate a dramatic increase in food insecurity from approximately 10% of US households before the pandemic to 25%-30% of households during the pandemic, with an even higher prevalence reported by more vulnerable and socially disadvantaged populations. To address the increase in food and economic insecurity, food and nutrition assistance policies and programs made innovative and temporary changes, and enrollment in these programs generally increased. However, some changes to food, nutrition, and income assistance programs are now expiring or contracting even as food insecurity prevalence is again on the rise and elevated food and nutrition assistance needs are expected to persist based on historical patterns. American Society for Parenteral and Enteral Nutrition (ASPEN) practitioners can play an important role in identifying clients at elevated risk of food insecurity-related acute and chronic conditions and connecting high-risk clients to resources. ASPEN practitioners can contribute to the evidence base linking food insecurity and nutrition outcomes. ASPEN practitioners can also advocate for addressing the root social and structural determinants of food insecurity and for the continuation of effective food and nutrition policy changes and innovations.

Concurrent Mental Illness and Financial Barriers to Mental Health Care Among a Nationally Representative Sample of Orthopaedic Trauma Survivors.

To understand prevalence and factors associated with concurrent mental illness and financial barriers to mental health care after orthopaedic trauma. This is a retrospective, cross-sectional study. Interview-based survey was conducted across representative sample of 30,000 US households. The study included 2,309 survey respondents reporting a fracture over the past 3 months, between 2004 and 2017. Screening for financial barriers to mental health care. Prevalence and factors associated with concurrent mental illness and financial barriers to mental health care based on sociodemographic and injury characteristics were the main outcome measurements. Of the 2309 orthopaedic trauma survivors included in our analysis, 203 patients [7.8%, 95% confidence interval (CI): 6.4%-9.2%] were determined to experience severe mental illness, of whom 54 (25.3%, 95% CI: 18.0%-32.6%) and 86 (40.9%, 95% CI: 31.5%-50.2%) reported financial barriers to counseling and pharmacotherapy, respectively. Factors associated with concurrent severe mental illness and cost barriers to care were 45 to 64 years of age [adjusted odds ratios (AOR) 5.1, 95% CI: 1.7-15, P = 0.004], income below 200% of the Federal Poverty Threshold (AOR 2.5, 95% CI: 1.2-5.3, P = 0.012), and unemployment at the time of injury (AOR 3.9, 95% CI: 1.4-11, P = 0.009). Approximately one half of orthopaedic trauma survivors with severe mental illness face financial barriers to some form of mental health services. Younger, minority, and low socioeconomic status patients are most affected. These data suggest the presence of postdiagnosis disparities in mental health access that may be improved through direct provision and subsidization of integrated mental health support services for high-risk populations. Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

Escaping from hunger before WW1: the nutritional transition and living standards in Western Europe and USA in the late nineteenth century

Using the US Commissioner of Labor household survey, we estimate calories available to workers’ households in USA, Belgium, Britain, France and Germany in 1888/90. We make raw comparisons of the data and utilise propensity score matching techniques to attempt to overcome differences between the nature of the country samples included in the original survey. We find that US households had on average 500 daily calories per capita more than French and Germans households, with the Belgians and British households closer to the USA. We ask if US workers had more energy for work, once likely differences in stature between national sub-samples are taken into account, and conclude it was a minor advantage. Finally, we ask if economic migration leads to taller children. We find that US-based British households were able to provide more calories than those in Britain in response to an additional child, so that, other things being equal, their children would grow taller.

A cross‐sectional analysis of the demand for coffee in the United States

AbstractThe purposes of this study were to develop a profile of households who purchase coffee, to determine the socioeconomic determinants of the demand for coffee by US households, and to update the own‐price, cross‐price, and income elasticities of demand for US households. The profile suggests to targeting wealthier households, households without children living in the household, older households, white households, and households located in the Pacific region and in New England. The own‐price elasticity of −1.93 indicates that the demand for at‐home purchases of coffee is elastic. Tea is a substitute for coffee. Given the income elasticity of 0.20, changes in household income are not likely to have sizeable impacts on at‐home coffee consumption. Nevertheless, coffee is a necessity in economic parlance. The source of data for this analysis was the NielsenIQ pertaining to 61,380 households for calendar year 2015. [EconLit Citations: D1, D9, D12].

Food Insufficiency Following Discontinuation of Monthly Child Tax Credit Payments Among Lower-Income US Households

The 2021 expanded Child Tax Credit provided advance monthly payments to many US families with children from July through December 2021 and was associated with a reduction in food insufficiency. Less is known about the effect of the discontinuation of monthly payments. To assess whether the discontinuation of monthly Child Tax Credit payments was associated with subsequent changes in food insufficiency among lower-income US households with children. This population-based cross-sectional study used data from the Household Pulse Survey, a recurring online survey of US households conducted by the US Census Bureau, from January 2021 to March 2022. This study estimated difference-in-differences regression models for households making less than $50 000, less than $35 000, and less than $25 000 annually, adjusting for demographic characteristics and state of residence. The estimation sample of households making less than $50 000/y included 114 705 responses, representing a weighted population size of 27 342 296 households. Receipt of monthly Child Tax Credit payments, as measured by living in a household with children during the period of monthly payments from July through December 2021. Household food insufficiency, as measured by a respondent indicating that there was sometimes or often not enough food to eat in the household in the previous 7 days. Among 114 705 households making less than $50 000/y, respondents were predominantly female (57%); White (71%); not of Hispanic, Latino, or Spanish origin (79%); had high school or equivalent education (38%); and were unmarried (70%). Following the discontinuation of monthly Child Tax Credit payments, food insufficiency in US households with children increased by 3.5 percentage points (95% CI, 1.4-5.7 percentage points) among households making less than $50 000/y, 4.9 percentage points (95% CI, 2.6-7.3 percentage points) among households making less than $35 000/y, and 6.2 percentage points (95% CI, 3.3-9.3 percentage points) among households making less than $25 000/y. These estimates represent a relative increase in food insufficiency of approximately 16.7% among households making less than $50 000/y, 20.8% among households making less than $35 000/y, and 23.2% among households making less than $25 000/y. In this population-based cross-sectional study, discontinuation of monthly Child Tax Credit payments in December 2021 was associated with a statistically significant increase in household food insufficiency among lower-income households, with the greatest increase occurring in the lowest-income households.

Characteristics Associated With a Previous COVID-19 Diagnosis, Vaccine Uptake, and Intention to Be Vaccinated Among Essential Workers in the US Household Pulse Survey.

Objectives. To explore previous COVID-19 diagnosis and COVID-19 vaccination status among US essential worker groups. Methods. We analyzed the US Census Household Pulse Survey (May 26-July 5, 2021), a nationally representative sample of adults aged 18 years and older. We compared currently employed essential workers working outside the home with those working at home using adjusted prevalence ratios. We calculated proportion vaccinated and intention to be vaccinated, stratifying by essential worker and demographic groups for those who worked or volunteered outside the home since January 1, 2021. Results. The proportion of workers with previous COVID-19 diagnosis was highest among first responders (24.9%) working outside the home compared with workers who did not (13.3%). Workers in agriculture, forestry, fishing, and hunting had the lowest vaccination rates (67.5%) compared with all workers (77.8%). Those without health insurance were much less likely to be vaccinated across all worker groups. Conclusions. This study underscores the importance of improving surveillance to monitor COVID-19 and other infectious diseases among workers and identify and implement tailored risk mitigation strategies, including vaccination campaigns, for workplaces. (Am J Public Health. 2022;112(11):1599-1610. https://doi.org/10.2105/AJPH.2022.307010).

Social Risk Screening and Interventions in Healthcare Settings: Opportunities, Challenges, and Future Research.

Food insecurity, the insufficient or uncertain access to enough food, affected 14.8% of US households with children in 2020 and is associated with adverse physical, mental, and behavioral health across the lifecourse. 1 Coleman-Jensen A Rabbit MP Gregory CA et al. Household Food Insecurity in the United States in 2020, ERR-298. U.S. Department of Agriculture Economic Research Service, 2021 Google Scholar National healthcare organizations have recommended that clinicians screen patients for food insecurity and other social risk factors (Figure). In our study, “Written Versus Verbal Food Insecurity Screening in One Primary Care Clinic,” we evaluated a natural experiment that occurred at one clinic that converted from clinicians verbally asking a 2-item food insecurity questionnaire to parents/caregivers responding on a written form. 2 Palakshappa D Goodpasture M Albertini L et al. Written versus verbal food insecurity screening in one primary care clinic. Acad Pediatr. 2020; 20: 203-207https://doi.org/10.1016/j.acap.2019.10.001 Abstract Full Text Full Text PDF PubMed Scopus (18) Google Scholar We found that changing from a verbal to written screen resulted in an immediate and significant increase in the proportion of families who reported food insecurity (10.4% vs 16.3%). 2 Palakshappa D Goodpasture M Albertini L et al. Written versus verbal food insecurity screening in one primary care clinic. Acad Pediatr. 2020; 20: 203-207https://doi.org/10.1016/j.acap.2019.10.001 Abstract Full Text Full Text PDF PubMed Scopus (18) Google Scholar In this progress report, we consider our results in light of the published literature since we submitted our manuscript in May 2019 and discuss the increased focus on social inequities, growing investment in integrating social care, areas for future research, and potential challenges with social risk screening.

Association of the Expiration of Child Tax Credit Advance Payments With Food Insufficiency in US Households

Advance Child Tax Credit (CTC) monthly payments administered to more than 35 million households with children in the US between July and December 2021 were associated with a substantial decrease in food insufficiency. These monthly payments expired in January 2022 after Congress failed to extend the policy, and the subsequent impact on food insufficiency is currently unknown. To assess whether the expiration of monthly CTC payments in January 2022 was associated with changes in food insufficiency in US households with children. This study used repeated cross-sectional, nationally representative data from multiple waves of the Household Pulse Survey, conducted by the US Census Bureau. Online data collection occurred from July 21, 2021, to July 11, 2022, and data analysis was performed in July 2022. The first missed advance CTC payment on January 15, 2022. The main outcome was unadjusted prevalence of household food insufficiency. Event study specification was used to estimate the association between the expiration of the CTC payments and household food insufficiency with the exposure of being in a household with children present. The sample (592 044 respondents, representing households with and without children, for a weighted population size of 123 350 770 individuals) was majority female (362 286 individuals [51.3%]) and non-Hispanic White (425 497 individuals [62.2%]), and a plurality of respondents (248 828 [48.3%]) were aged 25 to 44 years at the time of the survey. During the survey wave just before CTC expiration (reference wave, December 29, 2021, to January 10, 2022), unadjusted household food insufficiency was 12.7% among households with children. In late January and early February 2022, following the first missed CTC monthly payment, 13.6% of households with children reported food insufficiency, increasing to 16.0% by late June and early July 2022. The event study specification estimated a 3.2 percentage point increase (95% CI, 1.4-5.0 percentage points; P < .001) in food insufficiency by the most recent wave available after the first missed CTC payment (June 29 to July 11, 2022) among households with children compared with the reference wave, a 25% increase. The findings of this study suggest that there was an increase in food insufficiency among households with children after they stopped receiving monthly CTC payments. Given the well-documented associations between inability to afford food and poor health outcomes across the life span, Congress should consider swift action to reinstate this policy.

Assessing the association of sustainable agriculture with rural household food security (considering ecological, economic, and social aspects).

Due to the importance of sustainability in the world, we follow the missing pieces of the puzzle of sustainable agriculture and food security as a huge gap in the literature. To achieve this goal, a survey was analyzed to assess the linkage between these two concepts in the rural areas in Lorestan province in Iran. The status of food security was assessed using US Household Food Security Survey Module (HFSSM). A standard questionnaire extracted from the related literature was applied to calculate sustainability indicators. The results showed that the status of food security among households with no children (70%) was better than those with one or more children (28%). According to the Tobit model, none of the sustainability dimensions had a significant association with food insecurity. The results support the fact that the assessment of agricultural sustainability at the microeconomic level, short-term period, and a small, specified location cannot lead to reliable results due to the similar behaviors of farmers in these areas. The low level of agricultural sustainability is due to the lack of macroeconomic policies in the region to promote and disseminate the principles of sustainability, lack of plans and actions to promote sustainability by stakeholders and policymakers, ignorance of the target community, as subsistence producers who fall into a deprivation trap. The results suggest that policymakers should use two short-term and long-term strategies to improve the level of agricultural sustainability and increase food security status.

Children and Retirement Income Adequacy

A typical household spends about $13,000 per year providing each child with food, clothing, shelter, and other essentials of life, with parental expenditures on children totaling 5% of gross domestic product. Several studies have shown that how children are assumed to interact with household expenditures and saving has first-order effects on judgments of the adequacy of retirement saving by US households, yet the effect of children on their parents’ ability and need to save for retirement is unresolved. This article uses data from the Panel Study of Income Dynamics (PSID) to track changes in household spending and saving as children transition to financial independence and parents’ transition from work into retirement. The PSID data accord with an interpretation of the life-cycle model in which parental households consume more and save less during the period children are being raised, but reduce consumption and increase saving as children become economically independent. These results point toward a more optimistic picture of the adequacy of US household retirement savings.