Food insecurity and sleep health by race/ethnicity in the United States

Anxiety moderates the association between severity of food insecurity and sleep duration among young adults in food-insecure households

This study examined associations between food insecurity (FI) severity, anxiety symptoms, and sleep duration among young adults in food-insecure households. We hypothesized that more severe FI and higher anxiety would independently predict shorter sleep duration, and that anxiety would amplify the FI-sleep duration relationship. Analysis was conducted on a subsample (n = 96) of the EAT 2010-2018 young adult cohort. Participants completed the U.S. Household Food Security Survey Module, Generalized Anxiety Disorder-7, and sleep assessment items. Linear regression models, controlling for demographics, showed that increased anxiety symptoms were associated with decreased sleep duration (p < .001), while FI severity was not significantly associated. A synergistic interaction between FI severity and anxiety (p = .04) revealed that individuals with severe FI and high anxiety had the shortest sleep duration. Results suggest that people struggling with both FI and anxiety may be at high risk of short sleep. Future interventions for individuals with FI should consider anxiety's role in influencing sleep disturbance.

Specific Nutrients Mediate the Association of Food Insecurity and Sleep Regularity Index (SRI) in U.S. Adults: NHANES 2011-2014

BACKGROUND/OBJECTIVES

Food-insecure individuals are at risk for poor health outcomes, including substandard sleep health. A possible association of food insecurity with sleep regularity has not been explored, and factors contributing to the relationship between food insecurity and sleep are not well understood. This cross-sectional study explored the relationship between food insecurity and sleep regularity and identified specific nutrients that mediated the association.

METHODS

This study used dietary intake, interview, physical examination, actigraphy, and laboratory data from NHANES 2011-2014 to assess the possible correlation between food insecurity and sleep in a sample of U.S. adults (n = 6730). Mediation analysis was conducted to determine specific serum biomarkers and intake of nutrients that indirectly contributed to the relationship.

RESULTS

Food insecurity was negatively correlated with sleep regularity. Dietary intake of fiber; vitamins A, B1, B2, C, E, and K; β-carotene; zinc; copper; and potassium and serum concentrations of palmitoleic acid had significant indirect effects on this association. The low/marginal food security group under-consumed vitamin K, and the very low food security group under-consumed vitamin K and zinc. Among food-insecure, income-eligible adults, those who received benefits from food assistance programs consumed significantly less fiber and β-carotene and exhibited significantly higher serum concentrations of palmitoleic acid than non-participants.

CONCLUSIONS

Food insecurity predicted sleep regularity, and this relationship was mediated by dietary intake and serum concentrations of specific nutrients, underscoring the role of nutrition security when evaluating potential health impacts for adults experiencing food insecurity.

Food insecurity and early childhood development among children 24-59 months in Nigeria: A multilevel mixed effects modelling of the social determinants of health inequities

Food insecurity (FI) has been identified as a determinant of child development, yet evidence quantifying this association using the newly developed Early Childhood Development Index 2030 (ECDI2030) remains limited. Herein, we provide national estimates of early childhood development (ECD) risks using the ECDI2030 and examined to what extent FI was associated with ECD among children aged 24-59 months in Nigeria. This population based cross-sectional analyses used data from the UNICEF-supported 2021 Multiple Indicator Cluster Survey in Nigeria. The analytic sample comprised children aged 24-59 months (weighted N = 12,112). We measured early childhood development for each child using the ECDI2030, measured across three domains: learning, psychosocial well-being and health. Food insecurity was assessed using the Food Insecurity Experience Scale (FIES), categorized as none/mild, moderate and severe. We fitted mixed-effects multilevel logistic regression models, with random intercepts, to estimate the odds of association between FI status and ECD. A total of 11,494 children aged 24-59 months (mean ± SD age, 43.4 ± 9.9 months), including 5,797 boys (50.2%) and 5,697 girls (49.8%), were included in the study. Approximately 46.4% of children were developmentally off track and about 76% of children lived in food-insecure households. The intercept-only model indicated significant variation in ECD prevalence across communities (τ00 = 0.94, intraclass correlation = 0.22, p < 0.0001), suggesting nonignorable variability in ECD across communities. Adjusting for confounders, we observed no significant association between FI and ECD. However, increasing child's age and disability status appeared as significant risk factors for higher odds of children being developmentally off track. These findings highlight that while FI alone may not explain ECD, a combination of individual and contextual factors plays a crucial role. Future interventions addressing ECD in Nigeria should consider these multidimensional influences to promote optimal child development.

Socioeconomic status and sleep duration among a representative, cross-sectional sample of US adults

BACKGROUND

Sleep is a crucial determinant of physical and mental health outcomes, and insufficient sleep is highly prevalent among United States adults. Although some risk factors of poor sleep have been extensively studied, including substance use, age, health behaviors, and others, the associations between socioeconomic status (SES) and sleep remain inconclusive. There is limited evidence on SES and sleep duration among the US adult population. This study analyzed the relationships between three SES indicators (poverty, education, and food security), and sleep duration.

METHODS

We used responses from the 2017-March 2020 National Health and Nutrition Examination Survey (NHANES). Respondents younger than 25 years old were excluded. Sleep duration was classified using self-reported sleep time and stratified by work vs. non-workdays. SES was operationalized using three indicators: poverty-income ratio, educational attainment, and food security status. We imputed missing data for socioeconomic status and outcome variables using multiple imputation. Weighted Poisson regression models with robust standard errors were used to calculate the crude and adjusted prevalence ratios for insufficient sleep duration (< 7 h of self-reported sleep) on workdays and non-workdays separately by each of the three SES indicators.

RESULTS

We included a total of 8,457 individuals. In the adjusted model, participants with lower income, educational status, and food security had significantly higher prevalence of insufficient sleep duration on both workdays and non-workdays. For example, low-income individuals (poverty-income ratio < 1) had 1.22 (95% CI 1.04-1.44) and 2.08 (95% CI 1.61-2.67) higher prevalence of insufficient sleep as compared to high income individuals on workday and non-workdays, respectively. In general, we found larger differences by level of SES indicator for the non-workday than for the workday outcome. There were no major differences in gender-stratified analysis. We also found that lower SES was associated with higher prevalence of excessive sleep (≥ 9 h).

CONCLUSION

Socioeconomic status indicators are significantly associated with sleep duration in the US adult population. Lower SES correlates with increased prevalence of insufficient sleep duration, which has implications for the overall wellbeing of US adults with lower SES. Targeted interventions and further research are needed to reduce this disparity.

The Association between Food Insecurity and Insomnia Symptoms among Young Adults in Puerto Rico and the Mediating Role of Psychological Distress Symptoms

Residents of Puerto Rico face a high burden of food insecurity (FI), which has been associated with insomnia symptoms (IS). However, this association remains understudied in Puerto Rican young adults, a vulnerable group experiencing an elevated prevalence of FI and poor sleep. We evaluated the association between FI and IS and the mediating role of psychological distress symptoms among young adults in Puerto Rico. Data are derived from the PR-OUTLOOK cohort (2020-2023) of adults aged 18-29 y. We assessed FI with the six-item USDA Household Food Security Scale and IS with the 5-item Women's Health Initiative Insomnia Rating Scale. Psychological distress symptoms included depressive symptoms (CES-D-10), anxiety (STAI-10), and perceived stress (PSS-4). Poisson's regression models estimated prevalence ratios (PRs) with 95% confidence intervals (CIs). The Karlson-Holm-Breen method estimated the mediation percentage of each psychological distress symptom on the association between FI and IS. Notably, 24.8% of participants experienced FI, and 30.4% reported elevated IS. FI was associated with IS (PR = 1.41, 95% CI = 1.24, 1.60), an association partially mediated by depressive (31.6%), perceived stress (17.6%), and anxiety symptoms (17.2%), accounting for 35.8% of the mediation percentage. Future research should confirm these findings using objective assessments of sleep and psychosocial stress.

Exploring Food Insecurity and Perceived Stress on Daytime Sleepiness among Older Adults in New York City

The growing population of older adults in the U.S. is experiencing increased food insecurity and stress, which are associated with nocturnal sleep quality and consequently excessive daytime sleepiness. This study aimed to investigate the relationship between food insecurity and perceived stress on daytime sleepiness in older adults aged 60 and older living in New York City. This cross-sectional, quantitative study utilized the US Household Food Security Survey Module six-item questionnaire, the Perceived Stress Scale (PSS), and Sleepiness Total to collect data. Participants completed an online survey via Qualtrics. Linear and logistic regression models were used to assess the association between demographic variables and food insecurity, perceived stress, and daytime sleepiness outcomes. Three hundred seventy-eight (378) older adults participated in this study. Food insecurity was associated with age (p = 0.045), education (p = 0.022), and daytime sleepiness (p < 0.001). On average, participants with a BMI of over 30 had an increased daytime sleepiness total relative to a BMI < 25 (p = 0.029), and those with two to three health conditions and those with more than four health conditions had higher daytime sleepiness totals relative to those with zero to one condition (p = 0.007 and 0.007, respectively). Participants who had moderate and high stress, regardless of food security status, had higher daytime sleepiness totals than those with low stress (food secure; p = 0.002; food insecure; p < 0.001). Multifaceted interventions are needed to alleviate food insecurity, manage stress, and reduce excessive daytime sleepiness among older adults.

Sleep Duration Is Associated with Household Food Insecurity and Sugar-Sweetened Beverage Intake Among Women, Infants and Children Participating Children Ages 0-5

PURPOSE

To determine associations between child and household characteristics and sleep duration among low-income children in Los Angeles County.

DESIGN

Cross-sectional study.

SETTING

Survey data collected in 2017 and 2020 in Los Angeles County, California.

SAMPLE

Special Supplemental Nutrition Program for Women, Infants and Children (WIC) households with children ages 4-60 months.

MEASURES

Sleep duration for children 4-60 months old (less than recommended (LTR), recommended range, more than recommended (MTR)), household food insecurity (HFI), sociodemographics, and daily servings of sugar-sweetened beverages (SSB).

ANALYSIS

Multinomial logistic regression, stratified by child age, was used to calculate odds ratios (OR) and 95% confidence intervals (CI) for associations between household/child characteristics and LTR or MTR sleep compared to recommended duration among WIC participating children 4-60 months old.

RESULTS

The final sample included 3512 children ages 4-23 months and 6035 children ages 24-60 months. In the study population, 32% (3-5 years old) to 44% (4-11months) of children under 5 did not meet the recommended hours of sleep per night. HFI was associated with higher odds of LTR (OR 1.27, CI 1.12-1.45) and MTR (OR 1.46, CI 1.15-1.87) sleep among 24-60 month-old children. Each additional daily SSB serving was associated with higher odds of LTR sleep (4-23 months: OR 1.10, CI 1.02-1.19; 24-59 months: OR 1.12, CI 1.08-1.17).

CONCLUSIONS

HFI and SSB intake are associated with not getting the recommended amount of sleep among low-income WIC participating children. Nutrition assistance program participants may benefit from receiving information about recommended sleep duration for young children and how to establish sleep routines to optimize sleep duration.