A Multi-Site Analysis of the Prevalence of Food Insecurity in the United States, before and during the COVID-19 Pandemic.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic profoundly affected food systems including food security. Understanding how the COVID-19 pandemic impacted food security is important to provide support and identify long-term impacts and needs. OBJECTIVE: The National Food Access and COVID research Team (NFACT) was formed to assess food security over different US study sites throughout the pandemic, using common instruments and measurements. This study presents results from 18 study sites across 15 states and nationally over the first year of the COVID-19 pandemic. METHODS: A validated survey instrument was developed and implemented in whole or part through an online survey of adults across the sites throughout the first year of the pandemic, representing 22 separate surveys. Sampling methods for each study site were convenience, representative, or high-risk targeted. Food security was measured using the USDA 6-item module. Food security prevalence was analyzed using ANOVA by sampling method to assess statistically significant differences. RESULTS: Respondents (n = 27,168) indicate higher prevalence of food insecurity (low or very low food security) since the COVID-19 pandemic, compared with before the pandemic. In nearly all study sites, there is a higher prevalence of food insecurity among Black, Indigenous, and People of Color (BIPOC), households with children, and those with job disruptions. The findings demonstrate lingering food insecurity, with high prevalence over time in sites with repeat cross-sectional surveys. There are no statistically significant differences between convenience and representative surveys, but a statistically higher prevalence of food insecurity among high-risk compared with convenience surveys. CONCLUSIONS: This comprehensive study demonstrates a higher prevalence of food insecurity in the first year of the COVID-19 pandemic. These impacts were prevalent for certain demographic groups, and most pronounced for surveys targeting high-risk populations. Results especially document the continued high levels of food insecurity, as well as the variability in estimates due to the survey implementation method.

Caffeine, coffee, and appetite control: a review.

Coffee and caffeine consumption has global popularity. However, evidence for the potential of these dietary constituents to influence energy intake, gut physiology, and appetite perceptions remains unclear. The purpose of this review was to examine the evidence regarding coffee and caffeine's influence on energy intake and appetite control. The literature was examined for studies that assessed the effects of caffeine and coffee on energy intake, gastric emptying, appetite-related hormones, and perceptual measures of appetite. The literature review indicated that coffee administered 3-4.5 h before a meal had minimal influence on food and macronutrient intake, while caffeine ingested 0.5-4 h before a meal may suppress acute energy intake. Evidence regarding the influence of caffeine and coffee on gastric emptying, appetite hormones, and appetite perceptions was equivocal. The influence of covariates such as genetics of caffeine metabolism and bitter taste phenotype remain unknown; longer controlled studies are needed.

The impact of conventional dietary intake data coding methods on foods typically consumed by low-income African-American and White urban populations.

OBJECTIVE: Analysing dietary data to capture how individuals typically consume foods is dependent on the coding variables used. Individual foods consumed simultaneously, like coffee with milk, are given codes to identify these combinations. Our literature review revealed a lack of discussion about using combination codes in analysis. The present study identified foods consumed at mealtimes and by race when combination codes were or were not utilized. DESIGN: Duplicate analysis methods were performed on separate data sets. The original data set consisted of all foods reported; each food was coded as if it was consumed individually. The revised data set was derived from the original data set by first isolating coded foods consumed as individual items from those foods consumed simultaneously and assigning a code to designate a combination. Foods assigned a combination code, like pancakes with syrup, were aggregated and associated with a food group, defined by the major food component (i.e. pancakes), and then appended to the isolated coded foods. SETTING: Healthy Aging in Neighborhoods of Diversity across the Life Span study. SUBJECTS: African-American and White adults with two dietary recalls (n 2177). RESULTS: Differences existed in lists of foods most frequently consumed by mealtime and race when comparing results based on original and revised data sets. African Americans reported consumption of sausage/luncheon meat and poultry, while ready-to-eat cereals and cakes/doughnuts/pastries were reported by Whites on recalls. CONCLUSIONS: Use of combination codes provided more accurate representation of how foods were consumed by populations. This information is beneficial when creating interventions and exploring diet-health relationships.

The association of healthful diets and cognitive function: a review.

The association of diet with mild cognitive impairment has not been extensively studied. Consumption of a healthful diet may help to attenuate age-related decline in older adults. Published studies have suggested that greater adherence to a Mediterranean-style dietary pattern is associated with a lower risk of developing Alzheimer's disease and with a slower rate of cognitive decline with age. However, published findings are inconsistent. The discrepancies most likely can be explained by the variations in both dietary and cognitive methodologies. It is not clear how diet contributes to the development of neurocognitive changes with age. This review will update available knowledge on the relationship between adherence to healthful diets and cognition and document the need for researchers to adopt more coherent and uniform methodology to allow for better quantification of the association of diet with cognitive function. There appears to be a relationship between diet and cognition.

Dietary patterns and sarcopenia in an urban African American and White population in the United States.

The primary objective of this cross-sectional study was to characterize dietary patterns of African Americans and Whites, 30 to 64 years, examined in the Healthy Aging in Neighborhoods of Diversity across the Life Span study. Other objectives of the study were to evaluate micronutrient adequacy of each pattern and to determine the association of diet with sarcopenia. Cluster analysis was used to determine patterns and mean adequacy ratio (MAR) to determine adequacy of 15 micronutrients. Ten clusters were identified: sandwich, sweet drink, pizza, poultry, frozen meal, dessert, alcoholic drink, bread, starchy vegetables, and pasta/rice dish. MAR ranged from 69 for the sweet drink cluster to 82 for the pasta/rice dish cluster. Sarcopenia was present in 6.4% of the sample, ranging from 1.5% in the poultry cluster to 14.1% in the alcoholic drink cluster. This study is the first to report an association between diet and sarcopenia in people younger than 65 years. The identification of presarcopenia has important implications for dietary interventions that might delay age-associated loss of lean mass.

Diet quality is inversely associated with C-reactive protein levels in urban, low-income African-American and white adults.

BACKGROUND: C-reactive protein (CRP), an inflammatory biomarker, is influenced by many factors, including socioeconomic position, genetics, and diet. The inverse association between diet and CRP is biologically feasible because micronutrients with antioxidative properties may enable the body to manage the balance between production and accumulation of reactive species that cause oxidative stress. OBJECTIVE: To determine the quality of the diet consumed by urban, low-income African-American and white adults aged 30 to 64 years, and association of diet quality with CRP. DESIGN: Data from a cross-sectional study were used to evaluate diet quality assessed by mean adequacy ratio (MAR). Two 24-hour recalls were collected by trained interviewers using the US Department of Agriculture automated multiple pass method. PARTICIPANTS: The sample consisted of Healthy Aging in Neighborhoods of Diversity across the Life Span baseline study participants, 2004-2009, who completed both recalls (n=2,017). MAIN OUTCOME MEASURES: MAR equaled the average of the ratio of intakes to Recommended Dietary Allowance for 15 vitamins and minerals. CRP levels were assessed by the nephelometric method utilizing latex particles coated with CRP monoclonal antibodies. STATISTICAL ANALYSIS: Linear ordinary least square regression and generalized linear models were performed to determine the association of MAR (independent variable) with CRP (dependent variable) while adjusting for potential confounders. RESULTS: MAR scores ranged from 74.3 to 82.2. Intakes of magnesium and vitamins A, C, and E were the most inadequate compared with Estimated Average Requirements. CRP levels were significantly associated with MAR, dual-energy x-ray absorptiometry-measured body fat, and hypertension. A 10% increase in MAR was associated with a 4% decrease in CRP. CONCLUSIONS: The MAR was independently and significantly inversely associated with CRP, suggesting diet is associated with the regulation of inflammation. Interventions to assist people make better food choices may not only improve diet quality but also their health, thereby possibly reducing risk for cardiovascular disease.