Associations between food insecurity and prediabetes in a representative sample of U.S. Adults (NHANES 2005-2014)

Prediabetes Prevalence by Adverse Social Determinants of Health in Adolescents

Importance

Several clinical practice guidelines advise race- and ethnicity-based screening for youth-onset type 2 diabetes (T2D) due to a higher prevalence among American Indian and Alaska Native, Asian, Black, and Hispanic youths compared with White youths. However, rather than a biological risk, this disparity likely reflects the inequitable distribution of adverse social determinants of health (SDOH), a product of interpersonal and structural racism.

Objective

To evaluate prediabetes prevalence by presence or absence of adverse SDOH in adolescents eligible for T2D screening based on weight status.

Design, Setting, and Participants

This cross-sectional study and analysis used data from the 2011 to 2018 cycles of the National Health and Nutrition Examination Survey. Data were analyzed from June 1, 2023, to April 5, 2024. Participants included youths aged 12 to 18 years with body mass index (BMI) at or above the 85th percentile without known diabetes.

Main Outcomes and Measures

The main outcome consisted of an elevated hemoglobin A1c (HbA1c) level greater than or equal to 5.7% (prediabetes or undiagnosed presumed T2D). Independent variables included race, ethnicity, and adverse SDOH (food insecurity, nonprivate health insurance, and household income <130% of federal poverty level). Survey-weighted logistic regression was used to adjust for confounders of age, sex, and BMI z score and to determine adjusted marginal prediabetes prevalence by race, ethnicity, and adverse SDOH.

Results

The sample included 1563 individuals representing 10 178 400 US youths aged 12 to 18 years (mean age, 15.5 [95% CI, 15.3-15.6] years; 50.5% [95% CI, 47.1%-53.9%] female; Asian, 3.0% [95% CI, 2.2%-3.9%]; Black, 14.9% [95% CI, 11.6%-19.1%]; Mexican American, 18.8% [95% CI, 15.4%-22.9%]; Other Hispanic, 8.1% [95% CI, 6.5%-10.1%]; White, 49.1% [95% CI, 43.2%-55.0%]; and >1 or other race, 6.1% [95% CI, 4.6%-8.0%]). Food insecurity (4.1% [95% CI, 0.7%-7.5%]), public insurance (5.3% [95% CI, 1.6%-9.1%]), and low income (5.7% [95% CI, 3.0%-8.3%]) were each independently associated with higher prediabetes prevalence after adjustment for race, ethnicity, and BMI z score. While Asian, Black, and Hispanic youths had higher prediabetes prevalence overall, increasing number of adverse SDOH was associated with higher prevalence among White youths (8.3% [95% CI, 4.9%-11.8%] for 3 vs 0.6% [95% CI, -0.7% to 2.0%] for 0 adverse SDOH).

Conclusions and Relevance

Adverse SDOH were associated with higher prediabetes prevalence, across and within racial and ethnic categories. Consideration of adverse SDOH may offer a more actionable alternative to race- and ethnicity-based screening to evaluate T2D risk in youth.

Food Insecurity, Neighborhood Food Environment, and Health Disparities: State of the Science, Research Gaps and Opportunities

Food insecurity and the lack of access to affordable, nutritious food are associated with poor dietary quality and an increased risk of diet-related diseases, including cardiovascular disease, diabetes, and certain types of cancer. Those of lower socioeconomic status and racial and ethnic minority groups experience higher rates of food insecurity, are more likely to live in under-resourced food environments, and continue to bear the greatest burden of diet-related chronic diseases in the United States. Despite the growing body of literature in this area, there are still significant gaps in our understanding of the various pathways that link food insecurity and neighborhood food environments to racial/ethnic and socioeconomic disparities in health and the most effective intervention strategies to address these disparities. To better understand the science in this area, the National Institutes of Health, in collaboration with the Centers for Disease Control (CDC) and Prevention and the United States Department of Agriculture (USDA), convened a virtual 3-d workshop 21-23 September 2021: Food Insecurity, Neighborhood Food Environment, and Nutrition Health Disparities: State of the Science. The workshop brought together a diverse group of researchers, practitioners, policymakers, and federal partners with expertise in nutrition, the food environment, health and social policy, and behavioral and social sciences. The workshop had the following 3 research objectives: 1) summarize the state of the science and knowledge gaps related to food insecurity, neighborhood food environments, and nutrition health disparities, 2) identify research opportunities and strategies to address research gaps, and 3) examine evidence-based interventions and implementation approaches to address food insecurity and neighborhood food environments to promote health equity. This article summarizes workshop proceedings and describes research gaps and future opportunities that emerged from discussions.

Two decades of diabetes prevention efforts: A call to innovate and revitalize our approach to lifestyle change

The impact of global diabetes prevention efforts has been modest despite the promise of landmark diabetes prevention trials nearly twenty years ago. While national and regional initiatives show potential, challenges remain to adapt large-scale strategies in the real-world that fits individuals and their communities. Additionally, the sedentary lifestyle changes during the COVID-19 pandemic and guidelines that now call for earlier screening (e.g., US Preventative Task Force) will increase the pool of eligible adults worldwide. Thus, a more adaptable, person-centered approach that expands the current toolkit is urgently needed to innovate and revitalize our approach to diabetes prevention. This review identifies key priorities to optimize the population-level delivery of diabetes prevention based on a consensus-based evaluation of the current evidence among experts in global translational programs; key priorities identified include (1) participant eligibility, (2) intervention intensity, (3) delivery components, (4) behavioral economics, (5) technology, and (6) the role of pharmacotherapy. We offer a conceptual framework for a broader, person-centered approach to better address an individual's risk, readiness, barriers, and digital competency.

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

OBJECTIVES

We tested whether participation in the Supplemental Nutrition Assistance Program (SNAP) moderated the relation between household food insecurity and HbA1c among Cambodian Americans with depression enrolled in a diabetes prevention trial.

METHODS

Community health workers assessed household food insecurity and SNAP participation. HbA1c was ascertained using direct enzymatic assay.

RESULTS

Among the n = 189 respondents, 19% were food insecure, 41% received SNAP benefits, and mean HbA1c = 5.5%. There was a significant interaction between SNAP and food insecurity. HbA1c was highest among participants without SNAP who were food insecure. Simple effects analysis revealed a significant difference within the no SNAP group [Mean (SD): Secure = 5.38 (0.38), Insecure = 5.78 (0.36)] and no difference within the SNAP group [Secure = 5.61(0.44), Insecure = 5.61(0.55)]. Differences remained significant after controlling for demographic, socioeconomic, and clinical indicators.

CONCLUSIONS

SNAP may protect against the deleterious association between household food insecurity and HbA1c.

Increasing Access to Healthy Foods through Improving Food Environment: A Review of Mixed Methods Intervention Studies with Residents of Low-Income Communities

Food insecurity is a broad and serious public health issue in the United States, where many people are reporting lack of access to healthy foods. The reduced availability of healthy, affordable foods has led to increased consumption of energy-dense and nutrient-poor foods, resulting in increasing the risk for many chronic diseases such as obesity, cardiovascular diseases, and type 2 diabetes mellitus. Thus, identifying promising approaches to increase access to healthy foods through improving the food environment is of importance. The purpose of this review article is to highlight how the food environment affects directly a person’s food choices, and how to increase access to healthy foods through improving environmental approaches. The literature search was focused on finding different approaches to improve food security, primarily those with an impact on food environment. Overall, potential solutions were gathered through multilevel environmental approaches, including nutrition education and peer education, community-based participatory research, and policy changes in supplemental nutrition programs. A recommendation to reduce food insecurity is learning to create meals with a variety of seasonal fruits and vegetables purchased from affordable farmers’ markets.

The Relationship between Food Security Status and Sleep Disturbance among Adults: A Cross-Sectional Study in an Indonesian Population

Background: The relationship between food insecurity and the experience of sleep disturbance has received little attention among researchers, although food insecurity is associated with poor physical and mental health globally. This study aimed to investigate the relationship between food security status and sleep disturbance among adults 20–64 years old. Methods: The study’s population-based sample included 20,212 Indonesian adults who participated in the fifth wave of the Indonesia Family Life Survey (IFLS5) in 2014. Dietary intake data, gathered using a food frequency questionnaire (FFQ), were used to assess the food security status. Sleep disturbance was assessed using the 10-item Patient-Reported Outcomes Measurement Information System (PROMIS) questionnaire. We used multiple linear and logistic regression models to test the study hypothesis. Results: A higher likelihood of experiencing sleep disturbance was recorded in people aged older than 56 years (OR = 1.78, 95% CI: 1.17–2.72, p = 0.007), people with depressive symptoms (OR = 3.57, 95% CI: 2.77–4.61, p < 0.001), and food-insecure people (OR = 1.32, 95% CI: 1.02–1.70, p = 0.036). A lower likelihood of experiencing sleep disturbance was recorded in people with low educational attainment (OR = 0.41, 95% CI: 0.30–0.57, p < 0.001). Sleep disturbance was dependent on the food consumption groups and food security status among men (p = 0.004). Conclusions: Sleep disturbance may be affected by the food-insecure status of adults, and later, may lead to serious health outcomes.

Food Insecurity, Diet Quality, Home Food Availability, and Health Risk Behaviors Among Emerging Adults: Findings From the EAT 2010-2018 Study

Objectives. To examine emerging adults' experiences of food insecurity in relation to measures of diet quality, food literacy, home food availability, and health behaviors.Methods. We used EAT 2010-2018 (Eating and Activity over Time) study data on 1568 participants who completed surveys as adolescents in 2009 to 2010 and follow-up surveys in 2017 to 2018 (mean age = 22.0 ±2.0 years; 58% female). At baseline, participants were recruited from 20 urban schools in Minneapolis-St Paul, Minnesota. Food insecurity was defined by emerging adult report of both eating less than they thought they should and not eating when hungry because of lack of money.Results. The prevalence at follow up of experiencing food insecurity in the past year was 23.3% among emerging adults. Food insecurity was associated with poorer diet quality (e.g., less vegetables and whole grains, more sugar-sweetened drinks and added sugars), lower home availability of healthy foods, skipping breakfast, frequently eating at fast-food restaurants, binge eating, binge drinking, and substance use (all P < .01).Conclusions. Assistance programs and policies are needed to address food insecurity among emerging adults and should be coordinated with other services to protect health.

Physical Activity and Risk of Diagnosed and Undiagnosed Prediabetes among Males and Females in the National Health and Nutrition Examination Survey, 2007-2014

AIMS

The purpose of the study was to assess the effect of leisure and occupational physical activity on the risk of diagnosed and undiagnosed prediabetes among females and males.

METHODS

A sample of 17,871 non-pregnant adults was drawn from the 2007-2014 National Health and Nutrition Examination Survey. Multinomial logistic regression tested associations between moderate-to-vigorous physical activity (MVPA) and risk of diagnosed prediabetes and undiagnosed prediabetes, compared to no prediabetes.

RESULTS

Females and males who met guidelines for total MVPA (i.e., ≥10 MET-hrs/week) had a statistically significant lower risk of undiagnosed prediabetes (OR range: 0.50-0.65) as compared to those with no MVPA, however findings were no longer statistically significant after adjustment for diabetes risk factors. In terms of diagnosed prediabetes, females meeting guidelines had lower risk (OR range: 0.65-0.76), while only males engaging in the most MVPA had lower risk; findings were no longer significant after adjustment. Patterns were similar for leisure-time MVPA, but conflicting for occupational PA; females with 10-20 MET-hrs/week had a higher risk of diagnosed prediabetes (OR =1.71, 95% CI 1.11-2.61) and males with >20 MET-hrs/week had a higher risk for undiagnosed prediabetes (OR =1.17, 95% CI 1.02-1.35) after adjustment.

CONCLUSIONS

This study adds to the sparse body of literature on physical activity and prediabetes, particularly with its inclusion of occupational MVPA.

Emerging practices supporting diabetes self-management among food insecure adults and families: A scoping review

BACKGROUND

Food insecurity undermines a patient's ability to follow diabetes self-management recommendations. Care providers need strategies to direct their support of diabetes management among food insecure patients and families.

OBJECTIVE

To identify what emerging practices health care providers can relay to patients or operationalize to best support diabetes self-management among food insecure adults and families.

ELIGIBILITY CRITERIA

Food insecure populations with diabetes (type 1, type 2, prediabetes, gestational diabetes) and provided diabetes management practices specifically for food insecure populations. Only studies in English were considered. In total, 21 articles were reviewed.

SOURCES OF EVIDENCE

Seven databases: Cumulative Index of Nursing and Allied Health Literature, Cochrane Database of Systematic Reviews, Medline, ProQuest Nursing & Allied Health Database, PsychInfo, Scopus, and Web of Science.

RESULTS

Emerging practices identified through this review include screening for food insecurity as a first step, followed by tailoring nutrition counseling, preventing hypoglycemia through managing medications, referring patients to professional and community resources, building supportive care provider-patient relationships, developing constructive coping strategies, and decreasing tobacco smoking.

CONCLUSION

Emerging practices identified in our review include screening for food insecurity, nutrition counselling, tailoring management plans through medication adjustments, referring to local resources, improving care provider-patient relationship, promoting healthy coping strategies, and decreasing tobacco use. These strategies can help care providers better support food insecure populations with diabetes. However, some strategies require further evaluation to enhance understanding of their benefits, particularly in food insecure individuals with gestational and prediabetes, as no studies were identified in these populations. A major limitation of this review is the lack of global representation considering no studies outside of North America satisfied our inclusion criteria, due in part to the English language restriction.