Self-reported COVID-19 infection and implications for mental health and food insecurity among American college students.

While the COVID-19 pandemic affected mental health and increased food insecurity across the general population, less is known about the virus's impact on college students. A fall 2020 survey of more than 100,000 students at 202 colleges and universities in 42 states reveals sociodemographic variation in self-reported infections, as well as associations between self-reported infection and food insecurity and mental health. We find that 7% of students self-reported a COVID-19 infection, with sizable differences by race/ethnicity, socioeconomic status, parenting status, and student athlete status. Students who self-reported COVID-19 infections were more likely to experience food insecurity, anxiety, and depression. Implications for higher education institutions, policy makers, and students are discussed.

Food insecurity and allergic diseases: A call to collective action.

Food security encompassess the concept of access by all people at all times to enough food for an active, healthy life. Conversely, food insecurity (FI) refers to household-level economic and social conditions of limited or uncertain access to adequate food. FI is a key social determinant of health that can negatively affect nutrition and health outcomes, as it is estimated that 10.2% of the US population meets criteria for FI. Recognizing the impact of FI on our patients and families is critical to promote health equity and optimize health outcomes. This review focuses on FI and allergic disease from the perspective of key multisector stakeholders within the field of allergy and immunology as well as from the larger health care arena, highlighting key resources and initiatives important to patients. Collectively, as specialists in allergy and immunology, and within the medical field more broadly, we must leverage our unique roles as we interface with patients and families and serve as committed advocates for change. Developing innovative strategies to promote health equity can provide a pathway forward for all children, adults, and families to gain access to healthy, nutritious food as part of their routine lifestyle. This is a call to action.

Food Insecurity at Tuberculosis Treatment Initiation Is Associated With Clinical Outcomes in Rural Haiti: A Prospective Cohort Study.

BACKGROUND: Tuberculosis is a leading cause of death worldwide, and food insecurity is known to negatively influence health outcomes through multiple pathways. Few studies have interrogated the relationship between food insecurity and tuberculosis outcomes, particularly independent of nutrition. METHODS: We conducted a prospective cohort study of adults initiating first-line treatment for clinically suspected or microbiologically confirmed drug-sensitive tuberculosis at a rural referral center in Haiti. We administered a baseline questionnaire, collected clinical data, and analyzed laboratory samples. We used logistic regression models to estimate the relationship between household food insecurity (Household Hunger Scale) and treatment failure or death. We accounted for exclusion of patients lost to follow-up using inverse probability of censoring weighting and adjusted for measured confounders and nutritional status using inverse probability of treatment weighting. RESULTS: We enrolled 257 participants (37% female) between May 2020 and March 2023 with a median age (interquartile range) of 35 (25-45) years. Of these, 105 (41%) had no hunger in the household, 104 (40%) had moderate hunger in the household, and 48 (19%) had severe hunger in the household. Eleven participants (4%) died, and 6 (3%) had treatment failure. After adjustment, food insecurity was significantly associated with subsequent treatment failure or death (odds ratio 5.78 [95% confidence interval, 1.20-27.8]; P = .03). CONCLUSIONS: Household food insecurity at tuberculosis treatment initiation was significantly associated with death or treatment failure after accounting for loss to follow-up, measured confounders, and nutritional status. In addition to the known importance of undernutrition, our findings indicate that food insecurity independently affects tuberculosis treatment outcomes in Haiti.

Health-related social needs, medical financial hardship, and mortality risk among cancer survivors.

BACKGROUND: Cancer survivors may face challenges affording food, housing, and other living necessities, which are known as health-related social needs (HRSNs). However, little is known about the associations of HRSNs and mortality risk among adult cancer survivors. METHODS: Adult cancer survivors were identified from the 2013-2018 National Health Interview Survey (NHIS) and linked with the NHIS Mortality File with vital status through December 31, 2019. HRSNs, measured by food insecurity, and nonmedical financial worries (e.g., housing costs), was categorized as severe, moderate, and minor/none. Medical financial hardship, including material, psychological, and behavioral domains, was categorized as 2-3, 1, or 0 domains. Using age as the time scale, the associations of HRSNs and medical financial hardship and mortality risk were assessed with weighted adjusted Cox proportional hazards models. RESULTS: Among cancer survivors 18-64 years old (n = 5855), 25.5% and 18.3% reported moderate and severe levels of HRSNs, respectively; among survivors 65-79 years old (n = 5918), 15.6% and 6.6% reported moderate and severe levels of HRSNs, respectively. Among cancer survivors 18-64 years old, severe HRSNs was associated with increased mortality risk (hazards ratio [HR], 2.00; 95% confidence interval [CI], 1.36-2.93, p < .001; reference = minor/none) in adjusted analyses. Among cancer survivors 65-79 years old, 2-3 domains of medical financial hardship was associated with increased mortality risk (HR, 1.58; 95% CI, 1.13-2.20, p = .007; reference = 0 domain). CONCLUSIONS: HSRNs and financial hardship are associated with increased mortality risk among cancer survivors; comprehensive assessment of HRSN and financial hardship connecting patients with relevant services can inform efforts to mitigate adverse consequences of cancer.

Age at diagnosis and social risks among Black cancer survivors: Results from the Detroit Research on Cancer Survivors cohort.

BACKGROUND: Social risks are common among cancer survivors who have the fewest financial resources; however, little is known about how prevalence differs by age at diagnosis, despite younger survivors' relatively low incomes and wealth. METHODS: The authors used data from 3703 participants in the Detroit Research on Cancer Survivors (ROCS) cohort of Black cancer survivors. Participants self-reported several forms of social risks, including food insecurity, housing instability, utility shut-offs, not getting care because of cost or lack of transportation, and feeling unsafe in their home neighborhood. Modified Poisson models were used to estimate prevalence ratios and 95% confidence intervals (CIs) of social risks by age at diagnosis, controlling for demographic, socioeconomic, and cancer-related factors. RESULTS: Overall, 35% of participants reported at least one social risk, and 17% reported two or more risks. Social risk prevalence was highest among young adults aged 20-39 years (47%) followed by those aged 40-54 years (43%), 55-64 years (38%), and 65 years and older (24%; p for trend < .001). Compared with survivors who were aged 65 years and older at diagnosis, adjusted prevalence ratios for any social risk were 1.75 (95% CI, 1.42-2.16) for survivors aged 20-39 years, 1.76 (95% CI, 1.52-2.03) for survivors aged 40-54 years, and 1.41 (95% CI, 1.23-1.60) for survivors aged 55-64 years at diagnosis. Similar associations were observed for individual social risks and experiencing two or more risks. CONCLUSIONS: In this population of Black cancer survivors, social risks were inversely associated with age at diagnosis. Diagnosis in young adulthood and middle age should be considered a risk factor for social risks and should be prioritized in work to reduce the financial effects of cancer on financially vulnerable cancer survivors.

Household food insecurity and child health outcomes: a rapid review of mechanisms and associations.

BACKGROUND: Household food insecurity (HHFI) has detrimental impact on child health outcomes. The primary aim of this work was to describe the mechanisms, defined as statistically quantified processes or systems, that explain the association between HHFI and poor child health outcomes. The secondary aim was to identify which child health outcomes were significantly associated with HHFI. METHODS: In this rapid review, we included real-world evidence studies in children and adolescents aged 3-24 years, from high-income countries. We searched peer-reviewed literature through the databases Medline, Embase, Web of Science and The Cochrane Library on March 10, 2022, with a 15-year time restriction. Key search terms included "food insecurity", "food poverty", "statistics", "structural equation model*", "regression", "conceptual model*", and "theoretical model*". We identified additional studies by searching citations and references. Papers were selected using pre-defined criteria and non-English Language studies were excluded. We extracted summary data of published studies using the Cochrane data extraction template as a guide. We included a broad range of health outcomes to identify what aspects of health are affected by HHFI, including metabolic risk factors (eg, BMI), conditions (eg, depression), biological processes (eg, sleep) and parent-child interactions (eg, feeding styles). We performed a narrative synthesis, as heterogeneity precluded statistical synthesis. We used the Quality in Prognosis Studies tool to assess the mechanism studies. FINDINGS: We included 70 systematic reviews (six mechanism and 64 association reviews) from the UK, Canada, USA, Australia, and Ireland (including 18 887 mechanism studies and 986 759 association studies). Low-to-moderate bias was detected in mechanism studies, and there was variability in HHFI measures. Maternal depression and parenting stress during childhood played a mechanistic role between HHFI and adolescent depression (b=0·008, 95% CI 0·002-0·016) and anxiety (b=0·012, 0·002-0·026). Maternal stress mediated the association between HHFI and child overweight (odds ratio [OR] 1·79, 0·82-3·92, p<0·01), via restrictive feeding styles (OR 1·81, 1·15-2·85, p=0·010) that had negative impact on diet (p<0·01). Ethnicity, income, employment, and education moderated the relationship between HHFI and child health outcomes (p<0·001). INTERPRETATION: Two key mechanistic pathways between HHFI and child health outcomes were diet and mental health of both child and parent, which appeared interrelated. Interventions targeting HHFI in children, should consider these pathways alongside sociodemographic factors. A strength of this review was that it was the first literature summary explaining the mechanisms between HHFI and child health, using evidence from high-income countries. A limitation was that HHFI measures were inconsistent between studies and countries, disallowing study comparisons. FUNDING: University of Sheffield.

Use of co-production to explore food insecurity in adults with severe mental illness living in Northern England: a mixed-methods study.

BACKGROUND: People living with severe mental illness experience premature mortality from diet-related preventable illnesses. Yet, little research focuses on food insecurity with adults with severe mental illness. This coproduced study aimed to understand the experiences of adults with severe mental illness and food insecurity and strategies to help. METHODS: Following a pragmatism philosophical foundation, we undertook a mixed-methods study involving a survey (online and paper versions) and one-to-one semi-structured interviews (online and telephone) during March 7 to Dec 16, 2022. We recruited participants via existing severe mental illness service user groups and social media in Northern England. Eligible participants were adults (≥18 years) self-reporting a diagnosis of severe mental illness. Ethics approval was obtained from Teesside University and the Health Research Authority (Reference: 22/NR/0010; IRAS ID: 306281), with informed consent given. The target sample size, accounting for a typical survey response rate for people with severe mental illness of 10-20%, was 135. A target sample of 20 interviews was agreed to capture a range of views. Food insecurity was defined as the lack of financial resources needed to ensure someone has reliable access to enough food to meet their dietary, nutritional, and social needs. It is sometimes called food poverty. Quantitative data were analysed using descriptive statistics and binary logistic regression and qualitative data using thematic analysis. FINDINGS: 135 participants completed the survey (mean age 44·67 years [SD 14·1]). Participants were predominantly male (53%, n=72), white (87%, n=117), and from the Yorkshire region (50%, n=68). Overall, prevalence of food insecurity was 50·4% (n=68). Discussion across 13 interviews found food insecurity being a long-rooted experience, including familial and intergenerational experiences of food insecurity: "I grew up… with this insecurity around food" (P002). Recommendations for tackling food insecurity centred on food banks, increasing accessibility, and reducing stigma: "I would like to get more information on where the centres are..." (P006) and "I was referred to, erm, a foodbank … but it's still the stigma that's attached to it." (P002). INTERPRETATION: We found a higher prevalence of food insecurity in this study than in the general population (being 15%), yet limited research with adults with severe mental illness perpetuates food insecurity intergenerational injustices. Food insecurity should be eliminated. However, in the meanwhile, there should be widespread easy access to food banks offering nutritional foods. Limitations of this research include not reaching target sample size and a lack of ethnic diversity. FUNDING: National Institute of Health and Care Research (NIHR) Research for Patient Benefit.

Food insecurity and diet quality in households accessing food membership clubs in Wessex: a mixed-methods study.

BACKGROUND: Food membership clubs that charge a small fee for a set number of items are in place in Wessex to address food insecurity (inadequate reliable access to sufficient affordable, nutritious food). These clubs incorporate longer-term solutions such as budgeting support, benefit maximisation, and cooking skills. The Wessex DIET project was established to measure acceptability and impact of these clubs. Given the paucity of evidence on the prevalence of food insecurity in those accessing such clubs, we aimed to quantify food insecurity and assess diet quality and wellbeing at recruitment. METHODS: In this mixed-methods study, we recruited individuals accessing food clubs in Wessex from March 31 to July 31, 2022. Participants provided informed consent and completed a survey (paper or online) at recruitment that collected data on diet and health. We used the modified six-item US Department of Agriculture (USDA) food security survey module. Follow-up surveys were administered after use of clubs (planned for 3, 6, and 12 months). Participants were invited to participate in a semi-structured interview. We used data from the baseline survey to quantify food insecurity and assess diet quality and wellbeing at point of first access to food clubs. FINDINGS: Of 97 participants recruited, five (5%) were aged 18-24 years, 15 (15%) 25-34 years, 48 (49%) 35-54 years, 13 (13%) 55-64 years, and nine (9%) 65 years and older (seven [7%] did not report their age). 69 (71%) participants were female and 23 (24%) were male (five [5%] did not respond to this question), 79 (81%) were White, and 65 (67%) reported having at least one dependent child. 55 (57%) reported skipping or cutting size of meals because there was not enough money for food. Food security status was calculated in 74 participants who answered all six questions of the USDA module, with 30 (41%) reporting low food security and 32 (43%) reporting very low food security. 31 (32%) of 97 participants reported rarely or never eating fruit, with 23 (24%) eating fruit at least once a day. The most common reported frequency of vegetable consumption was 2-3 times a week (26, 27%) and 4-6 times a week (23, 24%). 12 participants agreed to an interview. The clubs were well received, with participants noticing an improvement in their diet and finances. INTERPRETATION: This study highlights the high prevalence of food insecurity in those accessing food clubs in Wessex, which is expected in a population using food aid, and positive reflections from participants regarding their diet quality after using this service. Findings might not be generalisable nationally. Follow-up will assess impact of the clubs on food insecurity, diet quality and wellbeing, contributing to the evidence base of the effectiveness of food clubs to address these outcomes. FUNDING: National Institute for Health and Care Research (NIHR) Applied Research Collaboration Wessex.

Effects of Food Insecurity on Hepatic Steatosis and Fibrosis in People With HIV.

BACKGROUND & AIMS: Food insecurity (FI) is a risk factor for nonalcoholic fatty liver disease (NAFLD) and advanced fibrosis in the general population, but its impact on liver disease in people with HIV (PWH) is unknown. METHODS: We examined the association of FI with prevalence of NAFLD and fibrosis in a diverse cohort of PWH. PWH aged ≥ 18 years on antiretroviral therapy, HIV RNA <200 copies/mL, and without other known liver diseases were screened for NAFLD (controlled attenuated parameter ≥263 decibels/meter) and advanced fibrosis (liver stiffness measurement ≥11 kilopascals) by vibration controlled transient elastography at 8 U.S. CENTERS: Participants were categorized as food insecure using the Six-Item Short Form Household Food Security Survey. We used multivariable logistic regression to estimate odds ratios (ORs) and 95% confidence intervals (CIs) of NAFLD and advanced fibrosis by FI status. RESULTS: Among 654 PWH, NAFLD was present in 348 (53%) and advanced fibrosis in 41 (6%). FI was present in 203 of participants (31%), including 97/348 with NAFLD (28%) and 18/41 with advanced fibrosis (44%). In multivariable analysis, FI was associated with lower odds of NAFLD (OR, 0.57; 95% CI, 0.37-0.88) and a greater, but nonsignificant, odds of advanced fibrosis (OR, 1.38; 95% CI, 0.65-2.90). We identified a significant interaction between FI and diabetes (P = .02) on fibrosis risk, with greater odds of fibrosis among food insecure PWH and diabetes (OR, 3.83; 95% CI, 1.15-12.73) but not among food insecure nondiabetics (OR, 1.12; 95% CI, 0.47-2.98). CONCLUSIONS: FI is highly prevalent among PWH and associated with lower odds of NAFLD, and among PWH with diabetes, there is greater odds of advanced fibrosis. FI may contribute to hepatic fibrosis through mechanisms other than steatosis in PWH.

Food Insecurity, Low Household Income, and Low Education Level Increase the Risk of Having Metabolic Dysfunction-Associated Fatty Liver Disease Among Adolescents in the United States.

INTRODUCTION: In the United States, 10.2% households (HH) report child food insecurity. We assessed associations between metabolic dysfunction-associated fatty liver disease (MASLD) and food insecurity among the adolescents in the United States. METHODS: This cross-sectional study was performed using data from the National Health and Nutrition Examination Survey 2017-2018. Food insecurity was assessed by the US Department of Agriculture Child Food Security Survey Module. MASLD was defined by transient elastography. RESULTS: Among 771 adolescents (aged 12-18 years) (mean age 14.7 years; 52.5% male; 50.9% White, 12.7% Black, 24.4% Hispanic, and 12.1% other), 9.8% reported food insecurity; MASLD prevalence of 10.12% (95% confidence interval [CI] 7.13%-13.20%) affecting 4.27 million adolescents; and nonalcoholic fatty liver disease prevalence of 10.77% (95% CI 7.76-13.78) affecting 4.52 million adolescents. There was near-perfect concordance between MASLD and nonalcoholic fatty liver disease (Cohen's κ coefficient of 0.971, 95% CI 0.946-0.996). The prevalence of MASLD was greater among food-insecure adolescents vs food-secure ones (17.4% vs 9.4%) and adolescents living with a low HH income vs those with a higher HH income (15.0% vs 7.2%) and living with a head of HH with a lower education level vs one with a higher education level (18.0% vs 8.2%) ( P < 0.05). The fully adjusted model showed that compared with adolescents living in a higher HH income, food-insecure adolescents living in low income HH had a 3-fold greater risk (odds ratio [OR] 3.25, 1.31-8.08) of having MASLD, while food-secure adolescents living in low-income HH had no increased risk (OR 1.58, 0.85-2.93, P = 0.139). The fully adjusted odds of having MASLD was elevated by +163% with the presence of HTN (OR 2.63, 1.02-6.78), +241% with being Hispanic (OR 3.41, 1.36-8.56), and +138% with being male (OR 2.38, 1.20-4.75). In addition, a 1-unit increase in BMI was associated with 25% increase in the odds of having MASLD (OR 1.25, 1.17-1.33) among US adolescents. DISCUSSION: Food insecurity is associated with MASLD among US low-income adolescents especially Hispanic male individuals with obesity and hypertension. Policies addressing inequities are needed.

Evidence for Policies and Practices to Address Global Food Insecurity.

Food insecurity affects an estimated 691-783 million people globally and is disproportionately high in Africa and Asia. It arises from poverty, armed conflict, and climate change, among other demographic and globalization forces. This review summarizes evidence for policies and practices across five elements of the agrifood system framework and identifies gaps that inform an agenda for future research. Under availability, imbalanced agriculture policies protect primarily staple food producers, and there is limited evidence on food security impacts for smallholder and women food producers. Evidence supports the use of cash transfers and food aid for affordability and school feeding for multiple benefits. Food-based dietary guidelines can improve the nutritional quality of dietary patterns, yet they may not reflect the latest evidence or food supplies. Evidence from the newer food environment elements, promotion and sustainability, while relatively minimal, provides insight into achieving long-term impacts. To eliminate hunger, our global community should embrace integrated approaches and bring evidence-based policies and practices to scale.

Dietary patterns among U.S. food insecure cancer survivors and the risk of mortality: NHANES 1999-2018.

PURPOSE: Food insecurity-the lack of unabated access to nutritious foods-is a consequence many cancer survivors face. Food insecurity is associated with adverse health outcomes and lower diet quality in the general public. The goal of this analysis was to extract major and prevailing dietary patterns among food insecure cancer survivors from observed 24-h recall data and evaluate their relationship to survival after a cancer diagnosis. METHODS: We implemented two dietary patterns analysis approaches: penalized logistic regression and principal components analysis. Using nationally representative data from the National Health and Nutrition Examination Survey (NHANES) study, we extracted three dietary patterns. Additionally, we evaluated the HEI-2015 for comparison. Cox proportional hazards models assessed the relationship between the diet quality indices and survival after a cancer diagnosis. RESULTS: There were 981 deaths from all causes and 343 cancer-related deaths. After multivariable adjustment, we found higher risks of all-cause mortality associated with higher adherence to Pattern #1 (HR 1.25; 95% CI 1.09-1.43) and Pattern #2 (HR 1.15; 95% CI 1.01-1.31) among cancer survivors. CONCLUSION: Among all cancer survivors, higher adherence to major and prevailing dietary patterns from the U.S. food insecure cancer survivor population may lead to worse survival outcomes.

Food Insecurity and Pediatric Nonalcoholic Fatty Liver Disease Severity.

OBJECTIVE: To determine the association between food insecurity and pediatric nonalcoholic fatty liver disease (NAFLD). METHODS: Cross-sectional study of patients < 21 years of age with histologically confirmed NAFLD. The Household Food Security Survey Module was administered to determine food insecurity status. Skin lipidomics were performed to explore pathophysiologic mechanisms. RESULTS: Seventy-three patients with histologically confirmed NAFLD completed the Household Food Security Survey Module. Of these, the majority were male (81%) and non-Hispanic (53%), with a mean age at biopsy of 13 ± 3 years. Food insecurity was seen in 42% (n = 31). Comparison of features between food insecure and food secure subgroups revealed no differences in sex, ethnicity, BMI z-score, aminotransferases, or histologic severity. However, children experiencing food insecurity presented on average 2 years before their food secure counterparts (12.3 ± 3.0 vs 14.4 ± 3.6 years, P = .015). A subset of 31 patients provided skin samples. Skin lipidomics revealed that food insecurity was associated with down-regulated features from the lipoamino acid class of lipids, previously linked to inflammation and adipocyte differentiation. CONCLUSIONS: Food insecurity is highly prevalent in children with NAFLD and is associated with earlier presentation. Lipidomic analyses suggest a possible pathophysiologic link that warrants further exploration.

Relationship between Unstable Housing, Food Insecurity, and Vision Status in the MI-SIGHT Community Eye Disease Screening Program.

PURPOSE: Assess rate of visual impairment (VI) from uncorrected refractive error (URE) and associations with demographic and socioeconomic factors among low-income patients presenting to the Michigan Screening and Intervention for Glaucoma and Eye Health through Telemedicine (MI-SIGHT) program. DESIGN: Cross-sectional study. PARTICIPANTS: Adults ≥ 18 years without acute ocular symptoms. METHODS: MI-SIGHT program participants received a telemedicine-based eye disease screening and ordered glasses through an online optical shop. Participants were categorized based on refractive error (RE) status: VI from URE (presenting visual acuity [PVA] ≤ 20/50, best corrected visual acuity [BCVA] ≥ 20/40), URE without VI (PVA ≥ 20/40, had ≥ 2 lines of improvement to BCVA), and no or adequately corrected RE (PVA ≥ 20/40, < 2 line improvement to BCVA). Patient demographics, self-reported visual function, and satisfaction with glasses obtained through the program were compared between groups using analysis of variance, Kruskal-Wallis, chi-square, and Fisher exact testing. MAIN OUTCOME MEASURES: PVA, BCVA, and presence of VI (defined as PVA ≤ 20/50). RESULTS: Of 1171 participants enrolled in the MI-SIGHT program during the first year, the average age was 55.1 years (standard deviation = 14.5), 37.7% were male, 54.1% identified as Black, and 1166 (99.6%) had both PVA and BCVA measured. VI was observed in 120 (10.3%); 96 had VI from URE (8.2%), 168 (14.4%) had URE without VI, and 878 (75.3%) had no or adequately corrected RE. A smaller percentage of participants with VI from URE reported having a college degree and a larger percentage reported income < $10 000 compared to participants with no or adequately corrected RE (3.2% versus 14.2%, P = 0.02; 45.5% versus 21.6%, respectively, P < 0.0001. Visual function was lowest among participants with VI from URE, followed by those with URE without VI, and then those with no or adequately corrected RE (VFQ9 composite score 67.3 ± 19.6 versus 77.0 ± 14.4 versus 82.2 ± 13.3, respectively; P < 0.0001). 71.2% (n = 830) ordered glasses for an average cost of $36.80 ± $32.60; 97.7% were satisfied with their glasses. CONCLUSIONS: URE was the main cause of VI at 2 clinics serving low-income communities and was associated with reduced vision-related quality of life. An online optical shop with lower prices made eyeglasses accessible to low-income patients. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Predicting Self-Reported Social Risk in Medically Complex Adults Using Electronic Health Data.

BACKGROUND: Social barriers to health care, such as food insecurity, financial distress, and housing instability, may impede effective clinical management for individuals with chronic illness. Systematic strategies are needed to more efficiently identify at-risk individuals who may benefit from proactive outreach by health care systems for screening and referral to available social resources. OBJECTIVE: To create a predictive model to identify a higher likelihood of food insecurity, financial distress, and/or housing instability among adults with multiple chronic medical conditions. RESEARCH DESIGN AND SUBJECTS: We developed and validated a predictive model in adults with 2 or more chronic conditions who were receiving care within Kaiser Permanente Northern California (KPNC) between January 2017 and February 2020. The model was developed to predict the likelihood of a "yes" response to any of 3 validated self-reported survey questions related to current concerns about food insecurity, financial distress, and/or housing instability. External model validation was conducted in a separate cohort of adult non-Medicaid KPNC members aged 35-85 who completed a survey administered to a random sample of health plan members between April and June 2021 (n = 2820). MEASURES: We examined the performance of multiple model iterations by comparing areas under the receiver operating characteristic curves (AUCs). We also assessed algorithmic bias related to race/ethnicity and calculated model performance at defined risk thresholds for screening implementation. RESULTS: Patients in the primary modeling cohort (n = 11,999) had a mean age of 53.8 (±19.3) years, 64.7% were women, and 63.9% were of non-White race/ethnicity. The final, simplified model with 30 predictors (including utilization, diagnosis, behavior, insurance, neighborhood, and pharmacy-based variables) had an AUC of 0.68. The model remained robust within different race/ethnic strata. CONCLUSIONS: Our results demonstrated that a predictive model developed using information gleaned from the medical record and from public census tract data can be used to identify patients who may benefit from proactive social needs assessment. Depending on the prevalence of social needs in the target population, different risk output thresholds could be set to optimize positive predictive value for successful outreach. This predictive model-based strategy provides a pathway for prioritizing more intensive social risk outreach and screening efforts to the patients who may be in greatest need.

Associations between food insecurity and other social risk factors among U.S. adults.

BACKGROUND: Food insecurity (FI) often co-exists with other social risk factors, which makes addressing it particularly challenging. The degree of association between FI and other social risk factors across different levels of income and before and during the COVID-19 pandemic is currently unknown, impeding the ability to design effective interventions for addressing these co-existing social risk factors. OBJECTIVE: To determine the association between FI and other social risk factors overall and across different levels of income-poverty ratios and before (2019) and during (2020-2021) the pandemic. DESIGN: We used nationally representative data from the 2019-2021 National Health Interview Survey for our cross-sectional analysis. Social risk factors available in NHIS included difficulties paying for medical bills, difficulties paying for medications, receiving income assistance, receiving rental assistance, and "not working last week". SUBJECTS: 93,047 adults (≥18 years old). KEY RESULTS: Individuals with other social risk factors (except receiving income assistance) were more likely to report FI, even after adjusting for income and education inequalities. While poverty leads to a higher prevalence of FI, associations between FI and other social risk factors were stronger among people with higher incomes, which may be related to their ineligibility for social safety net programs. Associations were similar before and during the pandemic, perhaps due to the extensive provision of social safety net programs during the pandemic. CONCLUSIONS: Future research should explore how access to a variety of social safety net programs may impact the association between social risk factors. With the expiration of most pandemic-related social supports, further research and monitoring are also needed to examine FI in the context of increasing food and housing costs. Our findings may also have implications for the expansion of income-based program eligibility criteria and screening for social risk factors across all patients and not only low-income people.

An Increase in Food Insecurity Correlated with an Increase in Plasma Triglycerides among Latinx Children.

BACKGROUND: Food insecurity and metabolic diseases both disproportionately affect Hispanic children. Cross-sectional studies have linked food insecurity with adverse cardiometabolic markers, including elevated plasma triglycerides and glucose concentrations. However, the association between changes in food insecurity and changes in cardiometabolic markers in children remains to be explored. Furthermore, few studies have assessed the impact of school-based nutrition interventions on household food insecurity. OBJECTIVE: The objectives of this study are to assess the effect of the TX Sprouts intervention on household food insecurity and to examine the association between changes in household food insecurity and changes in cardiometabolic markers over 1 academic year. METHODS: This secondary analysis used data from TX Sprouts, a cluster-randomized school-based gardening, cooking, and nutrition trial. The study enrolled 3rd-5th-grade students from 16 schools that served primarily (>50%) Hispanic families with low income in Austin, TX. Participants (n = 619) provided household food insecurity data and fasting lipid panels at both baseline and postintervention, ∼9 mo following. RESULTS: There was no intervention effect on household food insecurity. Independent of the intervention, a 1-point increase in food insecurity, indicative of becoming more food insecure, was associated with a 2.61 mg/dL increase in triglycerides (P = 0.001; 95% CI: 1.04, 4.19) at follow-up. Children who were food insecure at baseline and became food secure at follow-up had a mean 5.05 mg/dL decrease in triglycerides compared with a 7.50 mg/dL increase in triglycerides in children who remained food insecure throughout (95% CI: -23.40, -1.71, P = 0.023). There were no other associations between changes in food insecurity and cardiometabolic markers. CONCLUSION: Although the intervention did not improve food insecurity, reductions in food insecurity over 9 mo were associated with improved cardiometabolic markers in high-risk children, emphasizing the need for interventions targeting food insecurity. The study is registered at clinicaltrials.gov under NCT02668744 (https://classic. CLINICALTRIALS: gov/ct2/show/NCT02668744).

Longitudinal Associations of Diet, Food Insecurity, and Supplemental Nutrition Assistance Program Use with Global Cognitive Performance in Middle-Aged and Older Adults.

BACKGROUND: Diet quality, food access, and food assistance policies may be key modifiable factors related to cognitive decline. OBJECTIVE: We aimed to evaluate whether diet quality, food insecurity, and Supplemental Nutrition Assistance Program (SNAP) use are associated with longitudinal changes in cognition among older adults in the United States. METHODS: Food intake data from the Health Care and Nutrition Study were linked with longitudinal health information from 5 waves of the Health and Retirement Study (2012-2020). The analytic sample (n = 6968) included community-dwelling United States adults aged ≥51 y without cognitive impairment. Global cognition was measured using a telephone-based cognitive status interview (range: 0-27). Diet quality was measured with the Healthy Eating Index, using participants' average intake of 13 dietary components. Questions regarding food access and affordability were used to determine food insecurity and use of SNAP benefits. Linear mixed-effects regression models were used to estimate longitudinal associations between diet-related factors and cognitive score changes. RESULTS: Poorer diets [ß: -0.24; 95% confidence interval (CI): -0.33, -0.15], food insecurity (ß: -1.08; 95% CI: -1.31, -0.85), and SNAP use (ß: -0.57; 95% CI: -0.82, -0.32) were associated with lower baseline cognitive scores. Poorer diets (ß: -0.17; 95% CI: -0.29, -0.05) and food insecurity (ß: -0.23; 95% CI: -0.47, -0.01) were associated with significantly steeper declines in cognitive scores over time, after 8 and 2 y of follow-up, respectively; however, SNAP use was not significantly associated with the rate of cognitive decline over time. Estimates were qualitatively similar when restricting the sample to participants aged ≥65 y. CONCLUSIONS: Results suggest that food access and adherence to healthy diet recommendations may be important elements to maintain cognitive health in aging. SNAP benefits may be insufficient to prevent negative cognitive effects of poor diet and limited access to nutritious foods.

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

BACKGROUND: Cognitive 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. OBJECTIVE: This 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. METHODS: We 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. RESULTS: Results 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. CONCLUSION: Findings underscore racial and ethnic structural disparities in food security and cognitive health in the United States aging population.

Finger millet: a hero in the making to combat food insecurity.

Climate change and population growth pose challenges to food security. Major crops such as maize, wheat, and rice are expected to face yield reductions due to warming in the coming years, highlighting the need for incorporating climate-resilient crops in agricultural production systems. Finger millet (Eleusine coracana (L.) Gaertn) is a nutritious cereal crop adapted to arid regions that could serve as an alternative crop for sustaining the food supply in low rainfall environments where other crops routinely fail. Despite finger millet's nutritional qualities and climate resilience, it is deemed an "orphan crop," neglected by researchers compared to major crops, which has hampered breeding efforts. However, in recent years, finger millet has entered the genomics era. Next-generation sequencing resources, including a chromosome-scale genome assembly, have been developed to support trait characterization. This review discusses the current genetic and genomic resources available for finger millet while addressing the gaps in knowledge and tools that are still needed to aid breeders in bringing finger millet to its full production potential.