SNAP participation moderates the association between household food insecurity and HbA1c among Cambodian Americans with depression

Firearm Homicide Mortality is Linked to Food Insecurity in Major US Metropolitan Cities

BACKGROUND

Gun violence disproportionately affects metropolitan areas of the United States (US). There is limited information regarding the influence of social determinants of health, such as food insecurity (FI) on firearm homicide mortality (FHM) in major metropolitan cities in the US. We sought to examine the relationship between FI and FHM.

MATERIALS AND METHODS

This was a cross-sectional analysis examining the largest 51 US major metropolitan statistical areas (MSAs) using data from 2018. Demographic data, markers of social inequities, and firearm homicide data were obtained from the US Census Bureau, US Department of Education, and the Frey and Brookings Institute. Food insecurity prevalence was obtained from Feeding America. Spearman ρ and linear regression were performed.

RESULTS

Using Spearman rho analysis, higher FI (r = 0.55, P < 0.001) was associated with FHM. Other variables associated with FHM included percent Black/African American (AA) (r = 0.77, P < 0.001), poverty rate (r = 0.53, P < 0.001), and percent of children living in single parent households (r = 0.58, P < 0.001). In linear regression analyses, FI was associated with increased FHM, with 1.3 additional FHM events for each unit increase in FI (β = 1.33, 95% CI 0.27-2.39, P = 0.02). The percent of a population that is Black/AA was also associated with FHM, with more than 4 additional cases for each 1% increase in the population (β = 4.32, 95% CI 3.26-5.38, P < 0.001).

CONCLUSION

Food insecurity may influence FHM in major US metropolitan cities. Community- and hospital-based programs that target FI may help combat the gun violence epidemic and decrease gun violence.

Association between adult food insecurity and mortality among adults aged 20-79 years with diabetes: A population-based retrospective cohort study

AIMS

There is limited research on the relationship between food insecurity and mortality among individuals with diabetes. This study aims to investigate the impact of food insecurity on all-cause and cause-specific mortality in adults with diabetes.

RESEARCH DESIGN AND METHODS

This study included 5749 adults with diabetes from the National Health and Nutrition Examination Survey cycles 2003-2018 and followed up until 31 December 2019. Food insecurity was measured by the Food Security Survey Module. Cox proportional hazard models were employed to estimate hazard ratios (HRs) and 95% confidence intervals for both all-cause mortality and cause-specific mortality.

RESULTS

The weighted prevalence of full food security, marginal food security, low food security, and very low food security was 70.8%, 11.0%, 10.4%, and 7.8%, respectively. Food insecurity demonstrated a significant correlation with diminished diet quality and reduced consumption of healthy foods. Over the course of 42,272.0 person-years of follow-up, we documented 1091 deaths, of which 370 were attributed to cardiovascular disease and 180 to cancer. After adjusting for multiple variables, food insecurity scores were significantly and linearly associated with increased all-cause mortality. Comparing to full food security, participants experiencing very low food security had a multivariate-adjusted HR of 1.48 (1.12, 1.95) for all-cause mortality (ptrend  = 0.010).

CONCLUSIONS

Food insecurity was associated with increased all-cause mortality and compromised diet quality, especially in individuals experiencing very low food security. Future strategies may necessitate the monitoring of and interventions for food insecurity among individuals with diabetes.

Lay health worker research personnel for home-based data collection in clinical and translational research: Qualitative and quantitative findings from two trials in hard-to-reach populations

Aims

The role of lay health workers in data collection for clinical and translational research studies is not well described. We explored lay health workers as data collectors in clinical and translational research studies. We also present several methods for examining their work, i.e., qualitative interviews, fidelity checklists, and rates of unusable/missing data.

Methods

We conducted 2 randomized, controlled trials that employed lay health research personnel (LHR) who were employed by community-based organizations. In one study, n = 3 Latina LHRs worked with n = 107 Latino diabetic participants. In another study, n = 6 LHR worked with n = 188 Cambodian American refugees with depression. We investigated proficiency in biological, behavioral, and psychosocial home-based data collection conducted by LHR. We also conducted in-depth interviews with lay LHR to explore their experience in this research role. Finally, we described the training, supervision, and collaboration for LHR to be successful in their research role.

Results

Independent observers reported a very high degree of fidelity to technical data collection protocols (>95%) and low rates of missing/unusable data (1.5%-11%). Qualitative results show that trust, training, communication, and supervision are key and that LHR report feeling empowered by their role. LHR training included various content areas over several weeks with special attention to LHR and participant safety. Training and supervision from both the academic researchers and the staff at the community-based organizations were necessary and had to be well-coordinated.

Conclusions

Carefully selected, trained, and supervised LHRs can collect sophisticated data for community-based clinical and translational research.

Food insecurity, SNAP participation and glycemic control in low-income adults with predominantly type 2 diabetes: a cross-sectional analysis using NHANES 2007-2018 data

INTRODUCTION

Diabetes, characterized by elevated blood glucose levels, affects 13% of US adults, 95% of whom have type 2 diabetes (T2D). Social determinants of health (SDoH), such as food insecurity, are integral to glycemic control. The Supplemental Nutrition Assistance Program (SNAP) aims to reduce food insecurity, but it is not clear how this affects glycemic control in T2D. This study investigated the associations between food insecurity and other SDoH and glycemic control and the role of SNAP participation in a national socioeconomically disadvantaged sample.

RESEARCH DESIGN AND METHODS

Adults with likely T2D and income <185% of the federal poverty level (FPL) were identified using cross-sectional National Health and Nutrition Examination Survey (NHANES) data (2007-2018). Multivariable logistic regression assessed the association between food insecurity, SNAP participation and glycemic control (defined by HbA1c 7.0%-8.5% depending on age and comorbidities). Covariates included demographic factors, clinical comorbidities, diabetes management strategies, and healthcare access and utilization.

RESULTS

The study population included 2084 individuals (90% >40 years of age, 55% female, 18% non-Hispanic black, 25% Hispanic, 41% SNAP participants, 36% low or very low food security). Food insecurity was not associated with glycemic control in the adjusted model (adjusted OR (aOR) 1.181 (0.877-1.589)), and SNAP participation did not modify the effect of food insecurity on glycemic control. Insulin use, lack of health insurance, and Hispanic or another race and ethnicity were among the strongest associations with poor glycemic control in the adjusted model.

CONCLUSIONS

For low-income individuals with T2D in the USA, health insurance may be among the most critical predictors of glycemic control. Additionally, SDoH associated with race and ethnicity plays an important role. SNAP participation may not affect glycemic control because of inadequate benefit amounts or lack of incentives for healthy purchases. These findings have implications for community engaged interventions and healthcare and food policy.

Association of Food Insecurity With Allostatic Load Among Older Adults in the US

IMPORTANCE

Allostatic overload, a biomarker of wear and tear, could be the potential pathway through which food insecurity leads to increased morbidity risk.

OBJECTIVE

To assess the association of food insecurity with allostatic load (AL) among US adults aged 50 years or older.

DESIGN, SETTING, AND PARTICIPANTS

A multiwave longitudinal cohort study was conducted using data from the 2006 to 2014 waves of the Health and Retirement Study in a national cohort study setting. The data comprise 26 509 person-years observations from 14 394 noninstitutionalized individuals aged 50 years or older during the study period. Data were analyzed from September 1 to December 14, 2020.

EXPOSURES

Moderate food insecurity (not enough money to buy the food needed) and severe food insecurity (reduced food intake due to financial constraints) measured at the household level.

MAIN OUTCOMES AND MEASURES

The AL score (0-9, with higher scores indicating a greater risk of physiologic dysregulation) and binary indicators of dysregulated inflammatory (C-reactive protein), cardiovascular (systolic and diastolic blood pressure, pulse rate, and cystatin C), and metabolic (hemoglobin A1c, body mass index, waist-to-height ratio, total cholesterol to high-density lipoprotein cholesterol ratio) systems.

RESULTS

Of 14 394 participants included in the analysis, the median age was 60 (IQR, 56-69) years, 8143 (56.6%) were women, 517 (3.6%) were moderately food insecure, and 804 (5.6%) were severely food insecure. In adjusted models, the incidence rate of AL was 1.05 (95% CI, 1.00-1.09) times higher for the participants with moderate food insecurity and 1.11 (95% CI, 1.07-1.15) times higher for the participants with severe food insecurity, compared with those who were food secure. The increased incidence rate of AL among participants with severe food insecurity was associated with C-reactive protein level (odds ratio [OR], 1.22; 95% CI, 1.04-1.44), cystatin C level (OR, 1.23; 95% CI, 1.01-1.51), hemoglobin A1c level (OR, 1.27; 95% CI, 1.01-1.59), body mass index (OR, 1.84; 95% CI, 1.41-2.40), waist-to-height ratio (OR, 1.54; 95% CI, 1.26-1.88), and total to high-density lipoprotein cholesterol ratio (OR, 1.32; 95% CI, 1.10-1.59) inflated to the high-risk range. The interaction between moderate food insecurity and Supplemental Nutrition Assistance Program (SNAP) enrollment (β = -0.18; P = .001) and the interaction between severe food insecurity and SNAP enrollment (β = -0.09; P = .02) were associated with a reduction in AL.

CONCLUSIONS AND RELEVANCE

In this national cohort study of US adults aged 50 years or older, food insecurity was associated with higher AL, mainly through dysregulation of the inflammatory and metabolic systems. SNAP enrollment may modify this association between food insecurity and AL.