Risk Factors For Food Insecurity Research Articles

Towards a causal link between food insecurity and buy-now-pay-later use by young Australians

Purpose This paper aims to understand if buy-now-pay-later (BNPL) services, a digital type of credit that targets young consumers, acts as a protective or a risk factor for food insecurity among young consumers in Australia. Design/methodology/approach The study uses survey data from a representative sample of young consumers aged 18–24 from all internal states and territories in Australia. Propensity score matching is used to test two hypotheses: BNPL drives young consumers to food insecurity, and food insecurity leads young consumers to use BNPL. Findings There is evidence that BNPL use is driving young Australian consumers to experience food insecurity, but there is no evidence of food insecurity driving the use of BNPL services. Practical implications The evidence of BNPL driving young consumers to experience food insecurity calls for the adoption of practices and stronger regulation to ensure that young users from being overindebted. Originality/value Although the link with more traditional forms of credit (such as personal loans) and consumer wellbeing has been explored more broadly, this project is the first attempt to have causal evidence of the link between BNPL and food insecurity in a high-income country, to the best of the authors’ knowledge. This evidence helps to fill the gap about the protective or risky nature of this type of digital financial product, as experienced by young Australians.

Food Insecurity Prevalence and Risk Factors at a Large Academic Medical Center in Michigan

Health care systems are increasingly adopting methods to screen for and integrate food insecurity and other social risk factors into electronic health records. However, there remain knowledge gaps regarding the cumulative burden of food insecurity in large clinical settings, which patients are most at risk, and the extent to which patients are interested in social assistance through their health care system. To evaluate the 5-year prevalence and associated risk factors of food insecurity among adult primary care patients, and to examine factors associated with patients' interest in social assistance among those with food insecurity. This cross-sectional analysis of a retrospective cohort study took place at a tertiary care academic medical center (encompassing 20 primary care clinics) in Michigan. Participants included adult patients who completed screening for social risk factors between August 1, 2017, and August 1, 2022. Data analysis was performed from November 2022 to June 2023. Food insecurity was assessed using the Hunger Vital Sign. The primary outcome was patients' interest in social assistance, and associated factors were examined using multivariate logistic regression models, adjusting for patients' demographic and health characteristics. Over the 5-year period, 106 087 adult primary care patients (mean [SD] age, 52.9 [17.9] years; 61 343 women [57.8%]) completed the standardized social risk factors questionnaire and were included in the analysis. The overall prevalence of food insecurity was 4.2% (4498 patients), with monthly trends ranging from 1.5% (70 positive screens) in August 2018 to 5.0% (193 positive screens) in June 2022. Food insecurity was significantly higher among patients who were younger, female, non-Hispanic Black or Hispanic, unmarried or unpartnered, and with public health insurance. Food insecurity was significantly associated with a higher cumulative burden of social needs, including social isolation, medical care insecurity, medication nonadherence, housing instability, and lack of transportation. Only 20.6% of patients with food insecurity (927 patients) expressed interest in social assistance. Factors associated with interest in social assistance including being non-Hispanic Black, unmarried or unpartnered, a current smoker, and having a higher burden of other social needs. In this retrospective cohort study, the overall prevalence of food insecurity was 4.2%, of whom approximately 1 in 5 patients with food insecurity expressed interest in assistance. This study highlights ongoing challenges in ensuring all patients complete routine social determinants of health screening and gaps in patients' interest in assistance for food insecurity and other social needs through their health care system.

Addressing hunger among households with children utilizing food assistance resources: an analysis of food pantry users

Abstract Aim Households with children have higher rates of food insecurity compared to households without children. Financial instabilities, including job loss, decreased income, and family structure changes are food insecurity risk factors. During the COVID-19 pandemic, programs were implemented to alleviate the impacts on food insecurity, but those expanded benefits were decreased in March 2023, leaving many families with economic burden. Subject and methods This study used a cross-sectional survey administered to food pantry users across ten food pantries in Eastern Massachusetts from June to August 2018, with 279 users reporting at least one child in the household. The outcome, hunger, was assessed using a modified version of the Household Hunger Scale. Households were categorized (one child, two children, or three or more children). Mixed-effects logistic regression models assessed the relationship between hunger categories and number of children in the household. Results This study found that having more children in the household increases the severity of hunger. Households with at least three children had 1.46 times the odds (95% CI: 1.08, 1.97) of moderate hunger and 1.85 times the odds (95% CI: 1.11, 3.07) of severe hunger compared to one-child households. Severe hunger was associated with monthly household income, with higher incomes having a protective effect for severe hunger. Conclusion Programs and policies addressing food insecurity are critical for supporting households with children already accessing supports, so removal of benefits may impact food insecurity. A multi-pronged approach including government-funded benefits and food pantry services is most effective in alleviating food insecurity. Significance Previous studies show that food insecurity increases with more children in the household compared to households without children, but focus less on populations already utilizing food assistance programs such as food pantries. This study examines hunger in households with children who are already at risk for food insecurity and receive food pantry services. Studying this population is essential given the recent decision by the US government to remove expanded COVID-19 benefits addressing food insecurity. Households with children experiencing food insecurity now depend upon those benefits and will be affected by their removal. These study findings can inform future resource allocation.

FOOD INSECURITY AMONG OLDER ADULTS IN THE UNITED STATES DURING THE COVID-19 PANDEMIC

Abstract The COVID-19 pandemic severely impacted food access and nutritional security across the United States, and exacerbated disparities in household food insecurity rates particularly among older adults due to potential for reduced food access, mental or physical health limitations, or fixed incomes. This study investigated food insecurity among older adults in the US throughout time periods of the pandemic, exploring differences among population groups for food insecurity risk factors. Data was from the US Census Bureau’s Household Pulse Survey, April 2020 through December 2022, weight-adjusted for a nationally representative sample (n=3,884,922). Logistic regression models were constructed to examine the association between older age and self-reported household food insecurity. Reasons given for food insecurity were examined as secondary outcomes. Covariates included demographics, socioeconomic status, household structure, food support programs, and mental health status. Findings showed risk of food insecurity among adults aged 60+ years more than doubled among minority racial groups compared to non-Hispanic White (p<0.001) but was inversely associated with being female compared to male (OR 0.77, p<0.001). Older adults who reported experiencing at least one mental health indicator (anxiety, depression, low interest, or worry) more than half of the week had over five times the odds of being food insecure (OR 5.68, p<0.001). Overall, trends and factors associated with prevalence and reasons for food insecurity were found to vary across age groups, and at different points of the pandemic. Our findings can help elucidate factors to identify older adult groups at greater food insecurity risk.

Measuring food insecurity among a national sample of children with recurrent acute otitis media

IntroductionAcute otitis media is one of the most common reasons for pediatric medical visits in the United States. Additionally, past studies have linked food insecurity and malnutrition with increased infections and worse health outcomes. However, there is a lack of information on the risk factors for food insecurity in specific patient populations, including the pediatric recurrent acute otitis media (RAOM) population. MethodsThe 2011 to 2018 National Health Interview Survey (NHIS) datasets were used to obtain a national estimate of the presentation of food insecurity within pediatric patients with RAOM. Relevant sociodemographic information and prevalence were identified. A multivariable logistic regression model was used to determine sociodemographic risk factors. Calculations were conducted using R with the “survey” package to account for the clustering and sampling of the NHIS. ResultsOf 3844 children with RAOM who responded to the food insecurity module, 20.8 % (19.0–22.6 %) were food insecure. Age, race/ethnicity, percentage of federal poverty level status, insurance status, and self-reported health status were significant and were not independent of food insecurity status. Using multivariable regression, this study found the following sociodemographic risk factors: age 6–10 and age > 10 (reference: age 0–2); Black (reference: Non-Hispanic White); 100 % to 200 % and <100 % federal poverty level (reference: >200 % federal poverty level); public insurance or uninsured status (reference: private insurance); and poor to fair self-reported health status (reference: good to excellent). DiscussionChildren with RAOM who were older, Black, less insured, living in lower-income households, and of poorer health had a greater association with being food insecure. Due to the frequency of RAOM pediatric visits, identifying at-risk groups as well as incorporating food insecurity screening and food referral programs within clinical practice can enable otolaryngologists to reduce disparities and improve outcomes in a targeted approach.

Food Insecurity, Disability and Age

Abstract Background Food insecurity is a growing public health concern. Disabled people are at higher risk of food insecurity than non-disabled people. Evidence suggests this diminishes for older people. We examine how the relationship between disability and food insecurity varies at different ages and explore the extent to which socio-economic factors account for and modify the relationship. Methods Data came from the fourth and fifth waves of the UK's Food Standards Agency's Food and You survey (n = 6,187), which contain data on disability and household food insecurity. We explored predicted probabilities of food insecurity from logistic regression models between disabled and non-disabled people for 10-year age cohorts. Stratified analyses, further explored differences in vulnerability to food insecurity at working age and 65+. Results Predicted probability of food insecurity for disabled people declined with age, as did the gap in risk between disabled and non-disabled people. The predicted probability of food insecurity among disabled people under 65 was 23% (95% CI: 19%-27%), whereas for disabled people 65+, it was 5% (95% CI: 3%-7%). Among people of working age, socio-economic factors explained some, but not all, of the increased risk of food insecurity associated with disability. Disabled people in full-time work were still significantly more likely to be food insecure than non-disabled people in work: 15% (95% CI: 11%-20%) vs 8 % (95% CI: 6%-9%) respectively. Among older adults, disabled people with savings were not at significantly higher risk of food insecurity, whereas those without savings were: 0.4% (95% CI: 0.4%-1%) vs 5% (95% CI: 3%-7%), respectively. Conclusions Findings indicate the increased risk of food insecurity for disabled people is partially explained by socio-economic factors. However, there is a need for further research to explain unobserved risk factors for food insecurity among disabled people of working age especially. Key messages • Socioeconomic factors play an important role in disabled people's increased risk of food insecurity. • Observed socioeconomic factors alone do not fully explain increased risk of food insecurity among working age disabled people. More research is needed.

Functional Disabilities and Food Insufficiency During Pregnancy: Results from the Pregnancy Risk Assessment Monitoring System.

Background: Disability is a well-documented risk factor for food insecurity. However, prior literature has overlooked the possible connection between disability and food insecurity during the antenatal period. This study extends previous research by examining the relationship between those with any functional disabilities and food insufficiency during pregnancy among a sample of mothers. Methods: Data are from the Pregnancy Risk Assessment Monitoring System, 2019-2020 (N = 9084). The relationship between the number of self-reported functional disabilities and food insufficiency is examined using modified multivariable Poisson regression. Results: After adjusting for control variables, the results reveal that those with any functional disability have a significantly higher risk of food insufficiency during pregnancy (risk ratio [RR] = 1.464, 95% confidence interval [CI] = 1.201-1.785). Findings reveal that all types of functional disability are associated with a higher risk of food insufficiency, including difficulty seeing, difficulty hearing, difficulty walking, difficulty remembering, difficulty with self-care, and difficulty communicating. Finally, the findings revealed that respondents with two functional disabilities (RR = 1.473, 95% CI = 1.153-1.882) and three or more functional disabilities (RR = 1.974, 95% CI = 1.534-2.541) are significantly more likely to report food insufficiency compared with respondents with no disabilities. Conclusions: There is a significant positive association between reporting functional disabilities and food insufficiency. Expanding current public health programs, educating health care professionals, and implementing effective screening guidelines directed at pregnant women with disabilities may reduce the prevalence of food insufficiency and promote greater health equity.

Temporal trends of food insecurity in Chad, 2016–2021

IntroductionConsidering persistently high levels of poverty and food insecurity in Chad, this study examines food insecurity trends from 2016 to 2021 and identifies risk factors for food insecurity in 2020 and 2021.MethodsData from six cross-sectional Enquête Nationale sur la Securité Alimentaire (ENSA) surveys from 2016 to 2021 collected in rural areas were used. The linear regressions for food consumption score (FCS), reduced coping strategy index (rCSI), and livelihood coping strategy index (LCSI) and logistic regressions for “poor food consumption” were used to estimate the annual rate of change. Risk factor analysis was conducted with demographic, socio-economic, and pandemic-related economic indicators in univariate models, and subsequent multivariate models were used to produce adjusted odds ratios.ResultsAt a national level, there was a gradual decrease in FCS (1.16 points per year), an increase in LCSI (0.11 points), and an increase in the proportion of households with poor food consumption from 18.5% to 25.3% (1.55 percentage point) during 2016–2021; a similar trend for FCS and LCSI for worsened food insecurity was observed in the Sudanian zone. There was no significant change in rCSI during that time at the national level, but there was a reduction in the Saharan zone and an increasing trend in the Sahélian zone. Risk factors for poor food consumption in 2020–2021 included lower wealth status, a single income source, an illiterate household head, and Sahelian zone residence. The only characteristic significantly associated with increased coping mechanism use in both years was having a disabled household head.DiscussionThe results provide evidence of worsening food security in Chad in the past 6 years, both nationally and including the agricultural Sudanian zone. Food insecurity was consistently the highest in the Sahelian zone. While some risk factors for poor food consumption and diet-related coping mechanism use were consistent between 2020 and 2021, there were differences among other risk factors, likely a reflection of the impacts of the COVID-19 pandemic. A strategic shift in humanitarian and development programming is required to mitigate the rise in food insecurity at the national and regional levels, with a particular emphasis on the Sahelian zone.

Risk factors of food insecurity among students at diverse post-secondary education institutions: a cross-sectional examination.

Identify the prevalence of food insecurity (FI) and compare sociodemographic, mental, physical, behavioral, and environmental risk factors for FI among students at a private university, community college, and historically black college or university (HBCU). Adult students attending a private university, community college, or HBCU (n = 4,140) located within the southeastern United States. Using an online survey (2017-2019), FI, sociodemographic, mental, physical, behavioral, and environmental data were collected to understand their association with FI. Up to 37.1% of students experienced FI. Identifying as black, other/multi-racial, having poor sleep, federal loans, depressive symptoms, high stress, social isolation, or a chronic condition were associated with FI. These associations varied by institution. FI is prevalent within diverse post-secondary institutions that serve traditional and nontraditional students with risk factors varying between institutions. The prevalence of FI and risk factors can inform institutional policy responses to ameliorate the effects of FI.

Risk Factors for Food Insecurity among Older Adults in India: Study Based on LASI, 2017-2018.

Food security is linked to the nutritional status and well-being of older adults. India is a rapidly aging nation that ranks highly on the 2022 Global Hunger Index. This paper examines the prevalence and risk factors of food insecurity in India's older population. We used data from the 2017-2018 Longitudinal Aging Study in India. The sample size was 31,532 adults aged 60 years and above. Food insecurity was measured using a four-item version of the Food Insecurity Experience scale. Multivariable logistic regressions using individual-level weights were implemented to assess the risk factors of food insecurity. The prevalence of food insecurity was 10.5% in the weighted sample. Sociodemographic factors were important in explaining food insecurity. Older adults who were male, younger, lowly educated, socially disadvantaged, in rural areas, and outside the Northern region were most vulnerable to food insecurity, controlling for various confounders. Additionally, low economic status, no occupational pension, currently working, social isolation, physical impairment, functional disabilities, poor self-rated health, and arthritis were associated with an increased risk of food insecurity. More active food assistance programs catering to older adults and a better provision of economic and social security are warranted to establish a food-secure environment for rapidly aging India.

Food insecurity in international and domestic students at an Australian university 2 years into the global COVID-19 pandemic

ObjectivesThe aim of this article is to explore the differences in the prevalence, sociodemographic determinants, and effects of food insecurity between international and domestic students in an Australian university during the COVID-19 pandemic. MethodsThis study uses a cross-sectional online survey. The questionnaire contained the 18-item Household Food Security Survey Module to assess food security status. Logistic regression models were used to analyze the associations between student characteristics and food insecurity. A total of 467 students (376 domestic and 91 international) attending a large university in Sydney completed the survey between October 2021 and May 2022. ResultsCompared with domestic students (13.0% food insecure), international students (18.7% food insecure) had higher odds of being food insecure in our sample (odds ratio = 2.02; 95% CI, 1.01–4.07; P = 0.013). Different risk factors for food insecurity were identified in these two student groups (e.g., being undergraduates and living outside the parental home, for domestic students, and, for international students, living in accommodation that provided meals that did not suit their preferences and experiencing changes in living arrangements due to the pandemic). Lower fruit intake was reported by food-insecure domestic students. Poor well-being was reported by both food-insecure domestic and international students. International students with food insecurity were more likely to use food assistance services than food-insecure domestic students. ConclusionsInternational students experienced a higher risk of food insecurity than domestic students during the pandemic in Australia. More tailored interventions to address food insecurity need to be developed for international and domestic students by considering their different experiences.

Trends, Prevalence, and Risk Factors of Food Insecurity Among Pregnant and Postpartum Women in the United States: Findings from the 2019-2021 National Health Interview Survey.

Background: Despite the widespread food insecurity in the United States, there is limited research investigating its prevalence among pregnant women and the potential impact it has on maternal and child health outcomes. This study examined trends in the prevalence of, and investigated risk factors for, food insecurity among peripartum women, using a nationally representative sample in the United States. Materials and Methods: This cross-sectional study included pregnant and postpartum women aged 18-49 years who reported being currently pregnant or pregnant in the past 12 months and who participated in the National Health Interview Survey from 2019 to 2021. Weighted multivariable logistic regression analysis was used to estimate associations with food insecurity. Results: A total of 1,527 pregnant women, weighted to represent 5,588,192 women in the United States, were included in the analysis. Overall, from 2019 to 2021, 10.8% of peripartum women were food insecure. The prevalence of food insecurity changed substantially between 2019 and 2021 (2019: 10.6% confidence interval [95% CI: 8.7-13.5], 2020: 16.0% [95% CI: 10.9-22.8], 2021: 6.2% [95% CI: 4.2-9.1]). The adjusted odds of food insecurity were significantly higher among pregnant and postpartum women in 2020 (aOR 2.15), who had a health insurance coverage (aOR 2.98) and who had an unmet health care need in the preceding 12 months (aOR 6.52). Conclusion: We found that food insecurity was common among peripartum women between 2019 and 2021 and was exacerbated by the COVID-19 pandemic. Identifying the factors that predispose peripartum women to the risk of food insecurity can guide the development and implementation of targeted interventions aimed at reducing the adverse impact of food insecurity on perinatal and infant health.

Disparities in food insecurity between sexual minority and heterosexual adults - a higher burden on bisexual individuals.

Sexual minorities-individuals who identify as gay/lesbian, bisexual, or other non-heterosexual individuals-experience higher rates of food insecurity (FI) compared to heterosexual individuals. During the COVID-19 pandemic, discrimination and structural racism, which are known risk factors for food insecurity, were perpetuated against sexual and racial/ethnic minorities. However, to our knowledge, a nationally representative analysis of the impact of the pandemic on food insecurity by sexual minority status and based on race/ethnicity is missing. We aimed to determine the degree of association between FI and sexual minority adults overall, before (2019) and during (2020-2021) the pandemic, and stratified by race/ethnicity. We used nationally representative data from the 2019-2021 National Health Interview Survey (NHIS). We specified multivariable logistic regression models to determine the association between FI and identifying as a sexual minority adult (≥18 years old), including gay/lesbian, bisexual, and other non-heterosexual individuals. Overall, we only observed FI disparities between bisexuals and heterosexuals (aOR 1.61 [95% CI 1.31-1.99]). Stratified by year, this association was significant only during the pandemic. Stratified by race/ethnicity, non-Hispanic white and non-Hispanic black individuals identifying as bisexual also experienced a significantly higher FI rate than their heterosexual counterparts. Our results may be a manifestation of the disproportionate impact of discrimination on bisexual individuals' FI experiences. With the growing number of legislative bills targeting the rights of sexual minorities, we expect to see a higher burden of FI among bisexuals, particularly, bisexual people of color. Future intersectional research regarding FI among bisexual and racial/ethnic minority individuals would further elucidate how membership in multiple minority groups may contribute to a higher risk of FI.

Predictors of Food Insecurity and Childhood Hunger in the Bronx During the COVID-19 Pandemic.

Using a community-based participatory research approach, we conducted a survey of 218 food pantry recipients in the south Bronx to determine predictors of food insecurity and childhood hunger. In adjusted multiple regression models, statistically significant risk factors for food insecurity included: having one or more children and not having health insurance. Statistically significant protectors against childhood hunger were: having a graduate degree, having health insurance and Spanish being spoken at home. Experiencing depression symptoms was positively associated with both food insecurity and childhood hunger. Frequency of food pantry use was not significantly associated with either food insecurity nor childhood hunger. This study suggests that targeting families with multiple children and without insurance will best help to promote food security among residents of the south Bronx. Social policy implications related to food security and benefit provision through the COVID-19 pandemic are also provided.

Social Service Providers’ Perceptions of Older Adults’ Food Access During COVID-19

ABSTRACT The COVID-19 pandemic exacerbated risk factors for food insecurity among older adults, while also altering how government agencies and social service organizations could serve this population given their disproportionate vulnerability to the virus. The current study sought to understand social service providers’ perspectives about how low-income community-dwelling older adults’ access to food and related resources changed during the COVID pandemic. Data were collected via in-depth interviews with 22 social service providers from Oregon-based public and private social service agencies. Responses indicated that changes to older adults’ food access during the pandemic stemmed from increases in public benefit amounts and social distancing guidelines. Participants indicated that temporary increases in SNAP allotments supported older adults’ food security. Additionally, social distancing guidelines disrupted usual ways of procuring food, such as going to grocery stores, obtaining food with the assistance of family or neighbors, receiving deliveries from social programs, and visiting congregate meal sites. Food assistance programs changed their operations to reduce in-person interaction and increase the use of technology. When investigating older adults' food access, future research should consider adults’ experiences of and barriers to SNAP receipt, social support from social networks and safety net programs, and technology access and knowledge.

Food insecurity among those with disability: Cross‐survey comparison of estimates and implications for future research

AbstractPeople with disabilities are at increased risk of food insecurity (FI). In the United States, the Current Population Survey is used to provide official FI estimates. Other federal surveys that include disability and FI measures as well as additional health, housing, nutrition, and functioning measures offer opportunities to examine determinants of FI more fully for people with disabilities. We estimate FI prevalence for people with disabilities across four surveys, finding that all sources identify disability as a risk factor for FI, with some variation in estimates. We identify policy‐specific areas each source could inform and suggest avenues for future research.

The spatial modification effect of predictors on household level food insecurity in Ethiopia

Household food insecurity remains highly prevalent in developing countries (including in Ethiopia) and it has been recognized as a serious public health problem. Several factors such as demographic, economic, social, and clinical factors influence household food insecurity, and these vary geographically. In this work, we investigate the geographical modification of the effect of several factors on chronic food insecurity. The data is from the Ethiopia socioeconomic survey conducted by the Ethiopia Central Statistics Agency (ECSA) in collaboration with the World Bank. Ethiopia socioeconomic survey is a long-term project to collect nationally representative panel survey of over 6500 households. A geo-additive model which accounts the structured and unstructured special effect was adopted to estimate household food insecurity risk factors. The study also revealed significant spatial variations on household food insecurity among administrative zones. Mainly, household living in the Sidama, Gamo Gofa, Shinille, Basketo, Wolyita, Wag Hemira, Liben, Awi, Eastern Tigray and West Harerghe zones, having higher food insecurity than the other zones in Ethiopia. Moreover, the analysis also showed that availability of credit services, proximity to service centers, average years of schooling of members of the household, and household assets are negatively associated with household food insecurity, whereas shocks, age, and dependency ratio increase the odds of a household to be food insecured. The generalized geo-additive mixed-effects model enables simultaneous modeling of spatial correlation, heterogeneity and possible nonlinear effects of covariates. Our study investigated the spatial heterogeneity of household level food insecurity, and its association with shocks, age, dependency ratio, availability of credit services, average years of schooling, and household assets. Our findings have also an important implication for planning as well as in the search for the variables that might account for the residual spatial patterns.

Individual and Community-Level Risk Factors for Food Insecurity Among Patients on Hemodialysis

Individual and Community-Level Risk Factors for Food Insecurity Among Patients on Hemodialysis

Prevalence and risk factors of food insecurity among Californians during the COVID-19 pandemic: Disparities by immigration status and ethnicity

The COVID-19 pandemic exacerbated socioeconomic disparities in food insecurity. Non-citizens, who do not qualify for most publicly-funded food assistance programs, may be most vulnerable to food insecurity during the pandemic. However, no study has examined heterogeneity in food insecurity by immigration status and ethnicity in the context of the pandemic. We analyzed the 2020 non-restricted California Health Interview Survey to examine disparities in food insecurity by ethnicity and immigration status (i.e., US-born, naturalized, non-citizen) among Asians and Latinxs (N = 19,514) compared to US-born Whites. Weighted multivariable logistic regression analyses assessed the association of immigration status and ethnicity with food insecurity. Decomposition analyses assessed the extent to which pandemic-related economic stressors, including experiencing reduced work hours or losing a job versus pre-pandemic socioeconomic position (SEP), accounted for disparities in food insecurity by ethnicity and immigration status. Regardless of immigration status, Latinxs were more likely to experience food insecurity than Whites. Based on the adjusted analyses, non-citizen, naturalized, and US-born Latinxs had a predicted probability of 12%, 11.4%, and 11.9% of experiencing food insecurity, respectively. In contrast, non-citizen Asians, but not US-born or naturalized Asians, reported greater food insecurity than Whites (12.5% vs. 8.2%). SEP accounted for 43% to 66% of the relationship between immigration status-ethnicity and food insecurity. The pandemic exacerbated economic hardship, but food insecurity was largely explained by long-standing SEP-related factors among Latinxs, regardless of immigration status, and non-citizen Asians. To address disparities in food insecurity, social assistance programs and COVID-19 economic relief should be extended to non-citizens.

Impact of SARS-CoV-2 Pandemic on food Security in Patients With chronic Kidney Disease

ObjectiveThe present study aims to determine the degree of Food Insecurity (FI) in adult patients with CKD during the COVID-19 pandemic, as well as the association between FI and food consumption.MethodsA cross-sectional study was conducted on patients with chronic kidney disease (CKD), with and without substitutive treatment, and older than 18 years of age. Food security was measured using the Mexican Food Security Scale (MFSS). Sociodemographic data and a food frequency questionnaire were obtained. Multinomial logistic regression was performed using the 4 categories of food security (food security as reference); principal component analysis was also performed to assess the relationship between food consumption patterns and sociodemographic characteristics.ResultsThe prevalence of FI in patients with CKD was 71.6%, the most prevalent degree of FI was moderate. As FI increased, a greater amount of beans, eggs, sweets/desserts, soft drinks, and artificial juices (P < .001) was consumed. The risk factors of FI were diabetes, hypertension, unpaid occupation, living in the country's capital, having children at home, or a decrease in income due to the pandemic. Four main components were identified that were associated with the different degrees of FI.ConclusionThe present study allowed us to conclude that more than 70% of CKD patients in the study cohort had some type of FI, which makes it difficult to adhere to treatment and may increase the risk of advanced CKD. A less healthy food pattern is associated with greater FI.