Food Insecurity, Food "Deserts," and Glycemic Control in Patients With Diabetes: A Longitudinal Analysis

Neighborhood Food Access in Early Life and Trajectories of Child Body Mass Index and Obesity

Importance

Limited access to healthy foods, resulting from residence in neighborhoods with low food access, is a public health concern. The contribution of this exposure in early life to child obesity remains uncertain.

Objective

To examine associations of neighborhood food access during pregnancy or early childhood with child body mass index (BMI) and obesity risk.

Design, Setting, and Participants

Data from cohorts participating in the US nationwide Environmental Influences on Child Health Outcomes consortium between January 1, 1994, and March 31, 2023, were used. Participant inclusion required a geocoded residential address in pregnancy (mean 32.4 gestational weeks) or early childhood (mean 4.3 years) and information on child BMI.

Exposures

Residence in low-income, low-food access neighborhoods, defined as low-income neighborhoods where the nearest supermarket is more than 0.5 miles for urban areas or more than 10 miles for rural areas.

Main Outcomes and Measures

BMI z score, obesity (age- and sex-specific BMI ≥95th percentile), and severe obesity (age- and sex-specific BMI ≥120% of the 95th percentile) from age 0 to 15 years.

Results

Of 28 359 children (55 cohorts; 14 657 [51.7%] male and 13 702 [48.3%] female; 590 [2.2%] American Indian, Alaska Native, Native Hawaiian, or Other Pacific Islander; 1430 [5.4%] Asian; 4034 [15.3%] Black; 17 730 [67.2%] White; and 2592 [9.8%] other [unspecified] or more than 1 race; 5754 [20.9%] Hispanic and 21 838 [79.1%] non-Hispanic) with neighborhood food access data, 23.2% resided in low-income, low-food access neighborhoods in pregnancy and 24.4% in early childhood. After adjusting for individual sociodemographic characteristics, residence in low-income, low-food access (vs non-low-income, low-food access) neighborhoods in pregnancy was associated with higher BMI z scores at ages 5 years (β, 0.07; 95% CI, 0.03-0.11), 10 years (β, 0.11; 95% CI, 0.06-0.17), and 15 years (β, 0.16; 95% CI, 0.07-0.24); higher obesity risk at 5 years (risk ratio [RR], 1.37; 95% CI, 1.21-1.55), 10 years (RR, 1.71; 95% CI, 1.37-2.12), and 15 years (RR, 2.08; 95% CI, 1.53-2.83); and higher severe obesity risk at 5 years (RR, 1.21; 95% CI, 0.95-1.53), 10 years (RR, 1.54; 95% CI, 1.20-1.99), and 15 years (RR, 1.92; 95% CI, 1.32-2.80). Findings were similar for residence in low-income, low-food access neighborhoods in early childhood. These associations were robust to alternative definitions of low income and low food access and additional adjustment for prenatal characteristics associated with child obesity.

Conclusions

Residence in low-income, low-food access neighborhoods in early life was associated with higher subsequent child BMI and higher risk of obesity and severe obesity. We encourage future studies to examine whether investments in neighborhood resources to improve food access in early life would prevent child obesity.

Addressing diabetes by elevating access to nutrition (ADELANTE) - A multi-level approach for improving household food insecurity and glycemic control among Latinos with diabetes: A randomized controlled trial

BACKGROUND

Latinx adults are disproportionately impacted by the interrelated challenges of food insecurity and nutrition sensitive chronic diseases. Food and nutrition insecurity can exacerbate the development and progression of chronic diseases, such as diabetes. Sustainable, effective interventions aimed at improving food insecurity and diabetes management for Latinx populations are needed.

METHODS

This hybrid type 1 trial evaluates the effectiveness of a multi-level intervention that includes a medically supportive food and behavioral lifestyle program on the primary outcome of Hemoglobin A1c (HbA1c) at 6 months. Latinx adults (n = 355) with type 2 diabetes (HbA1c of 6.0-12.0 %), overweight/obesity (BMI > 25 kg/m2), and self-reported risk of food insecurity will be randomized 1:1 to intervention (12 weekly deliveries of vegetables, fruits, and whole-grain foods + culturally-modified behavioral lifestyle program) versus control (food deliveries after a 6-month delay). Outcome asessments will occur at 0, 6 and 12 months, and include HbA1c, dietary intake, psychosocial health outcomes, and diabetes-related stressors. In addition, food insecurity and the impact of the intervention on up to two household members will be measured. Qualitative interviews with patients, healthcare providers, and community partners will be conducted in accordance with Reach, Effectivenes, Adoption, Implementation, and Maintenence (RE-AIM) framework to identify barriers and best practices for future dissemination.

CONCLUSIONS

The ADELANTE trial will provide novel insight to the effectiveness of a multi-level intervention on diabetes-related outcomes in Latinx adults. The mixed-method approach will also identity the reach of this 'Food is Medicine' intervention on additional household members to inform diabetes prevention efforts.

CLINICAL TRIAL REGISTRATION

NCT05228860.

Association between geospatial disparities in food security with weight loss and nutritional outcomes of metabolic surgery

BACKGROUND

Food insecurity has been linked to higher rates of obesity. It has also been shown to diminish the effectiveness of weight loss strategies, including intensive lifestyle interventions. One essential component of food insecurity is having a geospatial disadvantage in access to healthy, affordable food, such as living within a food desert. This study aims to determine if food insecurity also impacts weight loss and nutritional outcomes in patients who underwent Roux-en-Y gastric bypass (RYGB) or sleeve gastrectomy (SG).

METHODS

Clinical outcomes of patients who underwent RYGB or SG at Cleveland Clinic or affiliate regional hospitals in the United States from 2010 to 2018 were collected. Modified Retail Food Environmental Index (mRFEI) data was collected from the Center for Disease Control and merged with patient census tract data, allowing the patient cohort to be divided into those living in areas identified as food secure (mRFEI > 10%), food swamps (mRFEI = 1-10%), or food deserts (mRFEI = 0). Postoperative weight change was evaluated with quadratic growth mixture models and stratified by surgery type.

RESULTS

A total of 5097 patients were included in this study cohort, including 3424 patients who underwent RYGB and 1673 who underwent SG. The median duration of follow-up was 2.3 years (IQR 0.89-3.6 years). Food security status was not associated with postoperative weight change (RYGB p = 0.73, SG p = 0.60), weight loss nadir (RYGB p = 0.60, SG p = 0.79), or weight regain (RYGB p = 0.93, SG p = 0.85). Deficiencies in nutritional markers at 1-2 years after surgery were also not significantly different between food security groups.

CONCLUSION

Despite the established relationship between food insecurity and obesity, food insecurity does not negatively impact weight loss or nutritional outcomes following RYGB or SG, demonstrating metabolic surgery as a powerful and equitable tool for treating obesity.

LEVEL OF EVIDENCE

IV.

Food insecurity and its associations with cardiometabolic health in Latino individuals of Mexican ancestry

Background

Latino populations, especially those of Mexican ancestry, face higher rates of both cardiometabolic diseases and food insecurity, compounding negative health outcomes. Food insecurity is associated with poor dietary choices, which not only worsen cardiometabolic health but also contribute to various health complications, making it a critical public health issue in these communities. The aim of this study was to investigate the prevalence of food insecurity and its associations with diet, cardiometabolic risk factors, and glycemic control among Latino individuals of Mexican ancestry.

Methods

Cross-sectional observational study using data from the El Banco por Salud biobank. The study included 1,827 participants with a mean age of 52.5 ± 14.4 years, recruited from community-based settings. The majority were women (67.6%), obese (mean BMI 32.4 ± 7.0 kg/m2), and sedentary (43.5%). Food insecurity was assessed using the 6-item U.S. Household Food Security Module, while dietary information was obtained using the Brief Dietary Assessment Tool for Hispanics. Primary outcomes included cardiometabolic risk factors and glycemic control, specifically HbA1c levels.

Results

Of 1,827 participants, 69.7% were food secure and 30.3% were food insecure. Food insecure participants had a significantly larger waist circumference (p = 0.034), consumed poorer quality diets, and had higher HbA1c levels (p = 0.043), with the association remaining significant after adjustments (p = 0.007 for age, sex, BMI, and waist circumference; p = 0.021 for additional sociodemographic factors).

Conclusion

The findings reveal that food insecurity among Latino individuals of Mexican ancestry is associated with unhealthy food choices and higher HbA1c levels, exacerbating the risk of poor cardiometabolic health. This underscores an urgent need for targeted interventions to address food insecurity, ultimately promoting better metabolic health outcomes in vulnerable populations.

Patients with diabetes struggling to afford food and control their HbA1c in food-insecure areas in Bronx, NY

OBJECTIVE

To characterise the association between risk of poor glycaemic control and self-reported and area-level food insecurity among adult patients with type 2 diabetes.

DESIGN

We performed a retrospective, observational analysis of cross-sectional data routinely collected within a health system. Logistic regressions estimated the association between glycaemic control and the dual effect of self-reported and area-level measures of food insecurity.

SETTING

The health system included a network of ambulatory primary and speciality care sites and hospitals in Bronx County, NY.

PARTICIPANTS

Patients diagnosed with type 2 diabetes who completed a health-related social need (HRSN) assessment between April 2018 and December 2019.

RESULTS

5500 patients with type 2 diabetes were assessed for HRSN with 7·1 % reporting an unmet food need. Patients with self-reported food needs demonstrated higher odds of having poor glycaemic control compared with those without food needs (adjusted OR (aOR): 1·59, 95 % CI: 1·26, 2·00). However, there was no conclusive evidence that area-level food insecurity alone was a significant predictor of glycaemic control (aOR: 1·15, 95 % CI: 0·96, 1·39). Patients with self-reported food needs residing in food-secure (aOR: 1·83, 95 % CI: 1·22, 2·74) and food-insecure (aOR: 1·72, 95 % CI: 1·25, 2·37) areas showed higher odds of poor glycaemic control than those without self-reported food needs residing in food-secure areas.

CONCLUSIONS

These findings highlight the importance of utilising patient- and area-level social needs data to identify individuals for targeted interventions with increased risk of adverse health outcomes.

Food Insecurity and Hypoglycemia among Older Patients with Type 2 Diabetes Treated with Insulin or Sulfonylureas: The Diabetes & Aging Study

BACKGROUND

Severe hypoglycemia is a serious adverse drug event associated with hypoglycemia-prone medications; older patients with diabetes are particularly at high risk. Economic food insecurity (food insecurity due to financial limitations) is a known risk factor for hypoglycemia; however, less is known about physical food insecurity (due to difficulty cooking or shopping for food), which may increase with age, and its association with hypoglycemia.

OBJECTIVE

Study associations between food insecurity and severe hypoglycemia.

DESIGN

Survey based cross-sectional study.

PARTICIPANTS

Survey responses were collected in 2019 from 1,164 older (≥ 65 years) patients with type 2 diabetes treated with insulin or sulfonylureas.

MAIN MEASURES

Risk ratios (RR) for economic and physical food insecurity associated with self-reported severe hypoglycemia (low blood glucose requiring assistance) adjusted for age, financial strain, HbA1c, Charlson comorbidity score and frailty. Self-reported reasons for hypoglycemia endorsed by respondents.

KEY RESULTS

Food insecurity was reported by 12.3% of the respondents; of whom 38.4% reported economic food insecurity only, 21.1% physical food insecurity only and 40.5% both. Economic food insecurity and physical food insecurity were strongly associated with severe hypoglycemia (RR = 4.3; p = 0.02 and RR = 4.4; p = 0.002, respectively). Missed meals ("skipped meals, not eating enough or waiting too long to eat") was the dominant reason (77.5%) given for hypoglycemia.

CONCLUSIONS

Hypoglycemia prevention efforts among older patients with diabetes using hypoglycemia-prone medications should address food insecurity. Standard food insecurity questions, which are used to identify economic food insecurity, will fail to identify patients who have physical food insecurity only.

Diet quality, community food access, and glycemic control among nulliparous individuals with diabetes

Better diet quality regardless of community food access was associated with a higher likelihood of glycemic control in early pregnancy among nulliparous individuals with pregestational diabetes. These findings highlight the need for interventions that address nutrition insecurity for pregnant individuals living with diabetes.

What qualitative research can tell us about food and nutrition security in the UK and why we should pay attention to what it is telling us

Poor dietary patterns leading to poorer health and increased health care use have affected people living in disadvantaged economic circumstances in the UK for decades, which many fear will be exacerbated due to the UK's current so-called 'cost of living crisis'. The voices of experts by experience of those health and social inequalities are not routinely included in health improvement intervention development in relation to obesity prevention policy and programmes. Obesity is highly correlated with food insecurity experience in high-income country contexts (where food insecurity data are routinely collected) and is similarly socially patterned. Using a health equity lens, this review paper highlights qualitative research findings that have revealed the perspectives and direct experiences of people living with food insecurity, or those others supporting food-insecure households, that shed light on the role and influence of the socio-economic contextual factors food-insecure people live with day-to-day. Insights from qualitative research that have focused on the granular detail of day-to-day household resource management can help us understand not only how food insecurity differentially impacts individual household members, but also how behavioural responses/food coping strategies are playing into pathways that lead to avoidable ill health such as obesity, diabetes and other chronic health conditions, including mental health problems. This review paper concludes by discussing research and policy implications in relation to food-insecure households containing people with chronic health conditions, and for pregnant women and families with infants and very young children living in the UK today.

Estimating the impact of addressing food needs on diabetes outcomes

Objective

To estimate the association between food needs and diabetes outcomes.

Research design and methods

Longitudinal cohort study, using a target trial emulation approach. 96,792 adults with type 2 diabetes mellitus who underwent food need assessment in a network of community-based health centers were followed up to 36 months after initial assessment. We used targeted minimum loss estimation to estimate the association between not experiencing food needs, compared with experiencing food needs, and hemoglobin a1c (HbA1c), systolic and diastolic blood pressure (SBP and DBP), and LDL cholesterol. The study period was June 24th, 2016 to April 30th, 2023.

Results

We estimated that not experiencing food needs, compared with experiencing food needs, would be associated with 0.12 percentage points lower (95% Confidence Interval [CI] -0.16% to -0.09%, p = < 0.0001) mean HbA1c at 12 months. We further estimated that not experiencing food needs would be associated with a 12-month SBP that was 0.67 mm Hg lower (95%CI -0.97 to -0.38 mm Hg, p < .0001), DBP 0.21 mm Hg lower (95%CI -0.38 to -0.04 mm Hg, p = .01). There was no association with lower LDL cholesterol. Results were similar at other timepoints, with associations for HbA1c, SBP, and DBP of similar magnitude, and no difference in LDL cholesterol.

Conclusions

We estimated that not experiencing food needs may be associated with modestly better diabetes outcomes. These findings support testing interventions that address food needs as part of their mechanism of action.

The effect of food deserts on gynecologic cancer survival

Objective

Living in a food desert is a known negative health risk, with recent literature finding an associated higher mortality in patients with cancers. Gynecologic cancers have not specifically been studied. We aimed to describe patients with gynecologic cancers who live in a food desert and determine if there is an association between living in a food desert and gynecologic cancer mortality.

Methods

The 2013-2019 California Cancer Registry (CCR) was used to identify patients with endometrial, ovarian, or cervical cancers. Patient residential census tract was linked to food desert census tracts identified by the 2015 United States Department of Agriculture Food Access Research Atlas. Comorbidity data were obtained from the California Office of Statewide Health Planning and Development database (OSHPD). Treatment, diagnosis, and survival outcomes were obtained from the CCR's variables and compared by food desert status. Five-year disease-specific survival was analyzed by applying Cox proportional hazards analysis.

Results

40,340 gynecologic cancer cases were identified. 60.1 % had endometrial cancer, 23.2 % had ovarian cancer, and 15.9 % had cervical cancer. The average age of the cohort was 59.4 years, 48.0 % was non-Hispanic White, 50.3 % was privately insured, and 6.8 % of lived in a food desert. Living in a food desert was associated with higher disease-specific mortality for patients with gynecologic cancers (endometrial cancer HR 1.43p < 0.001 95 % CI 1.22-1.68; ovarian cancer HR 1.47p < 0.001 95 % CI 1.27-1.69; cervical cancer HR 1.24p = 0.045 95 % CI 1.01-1.54).

Conclusion

Patients living in food deserts had worse disease-specific survival, making access to food a modifiable risk factor that may result in mitigating gynecologic cancer disparities.

Food Insecurity and Diabetes Insulin Adherence Among Older Adults

Older adults in the United States continue to be impacted by food insecurity. Diabetes is on the rise in older adults and insulin therapy is often recommended as treatment. However, less is known about the relationship between food insecurity and insulin adherence among older adults. The current study utilized secondary data analysis methods to examine the 2021 National Health Interview Survey to explore the relationship between food insecurity and insulin adherence among adults aged 55 and older who are living with diabetes. Results of multivariable logistic regression suggest that participants experiencing food insecurity were more likely to take less insulin than needed and delay buying insulin in the past 12 months compared to participants who were food secure. Homeownership was inversely associated with taking less insulin than needed. Higher income-to-poverty ratio was also inversely associated with skipping insulin doses, taking less insulin than needed, and delaying the purchase of insulin. Our results showed that other racialized/ethnic groups (i.e., American Indian, Alaskan Native, Asian, biracial, and multiracial persons) compared to White were less likely to skip an insulin dose and take less insulin than needed. Suggesting food insecurity should be considered when insulin therapy is recommended for older adults with diabetes.

The impact of county-level food access on the mortality and post-transplant survival among patients with steatotic liver disease

BACKGROUND

The impact of county-level food access on mortality associated with steatotic liver disease, as well as post-liver transplant outcomes among individuals with steatotic liver disease, have not been characterized.

METHODS

Data on steatotic liver disease-related mortality and outcomes of liver transplant recipients with steatotic liver disease between 2010 and 2020 were obtained from the Centers for Disease Control Prevention mortality as well as the Scientific Registry of Transplant Recipients databases. These data were linked to the food desert score, defined as the proportion of the total population in each county characterized as having both low income and limited access to grocery stores.

RESULTS

Among 2,710 counties included in the analytic cohort, median steatotic liver disease-related mortality was 27.3 per 100,000 population (interquartile range 24.9-32.1). Of note, patients residing in counties with high steatotic liver disease death rates were more likely to have higher food desert scores (low: 5.0, interquartile range 3.1-7.8 vs moderate: 6.1, interquartile range, 3.8-9.3 vs high: 7.6, interquartile range 4.1-11.7). Among 28,710 patients who did undergo liver transplantation, 5,310 (18.4%) individuals lived in counties with a high food desert score. Liver transplant recipients who resided in counties with the worst food access were more likely to have a higher body mass index (>35 kg/m2: low food desert score, 17.3% vs highest food desert score, 20.1%). After transplantation, there was no difference in 2-year graft survival relative to county-level food access (food desert score: low: 88.4% vs high: 88.6%; P = .77).

CONCLUSION

Poor food access was associated with a higher incidence rate of steatotic liver disease-related death, as well as lower utilization of liver transplants. On the other hand, among patients who did receive a liver transplant, there was no difference in 2-year graft survival regardless of food access strata. Policy initiatives should target the expansion of transplantation services to vulnerable communities in which there is a high mortality of steatotic liver disease.

Neighborhood factors associated with late effects among survivors of adolescent and young adult cancer

PURPOSE

The purpose of this study is to evaluate the associations between neighborhood income, education, and neighborhood racial composition (measured as a low percentage of white residents) and risk of developing cardiovascular diseases (CVD), diabetes (DM), and severe depression among survivors of AYA cancer and matched non-cancer peers.

METHODS

Two-year survivors of AYA cancers diagnosed at age 15-39 yrs at Kaiser Permanente Southern California (diagnosed 2000-2012) and individually matched (1:13) non-cancer subjects were included. The development of CVD, DM, and severe depression was ascertained via electronic health records. Neighborhood characteristics were obtained from census-based geocoded data. Cox regression evaluated associations between neighborhood characteristics and the health outcomes of interest among both the cancer survivors and the non-cancer comparison cohort and effect modification by cancer survivor status on these relationships.

RESULTS

Among cancer survivors (n = 6774), living in mostly non-white neighborhoods, was associated with risk of CVD (hazard ratio (HR) = 1.54 (95% CI 1.00-2.36)), while lower education level (HR = 1.41 (95% CI 1.02-1.94)) was associated with risk of severe depression. None of the neighborhood characteristics were associated with risk of DM. Effect modification was found for neighborhood education and risk of DM and severe depression.

CONCLUSION

When jointly considered, cancer survivors who resided in the most disadvantaged neighborhoods were at the highest risk of developing these health outcomes compared to other subgroups.

IMPLICATIONS FOR CANCER SURVIVORS

Our findings may inform screening strategy and addressing social determinants of health among AYA cancer survivors.

Unhealthy dietary patterns in the American Nations: A crisis with cultural distinctions

INTRODUCTION

Food insecurity and limited healthful food access are critical public health issues in the United States (U.S), with unequal distribution across regions. This report tracked the prevalence of food insecurity, healthful food access, and the food environment, as cultural experiences according to the American Nations Model.

METHODS

Data from the County Health Rankings & Roadmaps program on food insecurity, insufficient healthy food access, and the food environment index were matched at the zip-code level with the American Nations dataset from the Nationhood Lab. Percentages for all three food indicators were estimated based on the population of each American Nation region.

RESULTS

Results show significant disparities across regional cultures. The First Nation, heavily populated by American Indian and Alaska Native communities, reports the highest prevalence of food insecurity (17 %), lowest healthful food access (21 %) and food environment index (4.6 out of 10). New France, Deep South, Great Polynesia, Greater Appalachia, El Norte and Far West, areas with higher minority populations, also show elevated food insecurity rates (range, 11-14 %) and reduced healthful food access (5-9 %). Regions with more favorable metrics across all three indicators include the Spanish Caribbean, Midlands, Yankeedom, Left Coast, Tidewater, and the New Netherlands.

CONCLUSIONS

Disparities in food insecurity, healthful food access, and food environments appear to stem from geographical diversity and cultural history, underscoring the need to recognize and address cultural differences among the American Nations. This insight can inform policy and practices aimed at achieving food security and health equity across the country.

Household food insecurity and associations with hemoglobin A1c and acute diabetes-related complications in youth and young adults with type 1 diabetes: The SEARCH for Diabetes in Youth study

AIMS

To examine, among youth and young adults (YYA) with type 1 diabetes (T1D), the association of household food insecurity (HFI) with: 1) HbA1c and 2) episodes of diabetic ketoacidosis (DKA) and severe hypoglycemia.

METHODS

HFI was assessed using the U.S. Household Food Security Survey Module in SEARCH for Diabetes in Youth participants with T1D between 2016 and 2019. Linear and logistic regression models adjusted for age, diabetes duration, sex, race, ethnicity, clinic site, parent/participant education, household income, health insurance, and diabetes technology use.

RESULTS

Of 1830 participants (mean age 20.8 ± 5.0 years, 70.0 % non-Hispanic White), HbA1c was collected for 1060 individuals (mean HbA1c 9.2 % ± 2.0 %). The prevalence of HFI was 16.4 %. In the past 12 months, 18.2 % and 9.9 % reported an episode of DKA or severe hypoglycemia, respectively. Compared to participants who were food secure, HFI was associated with a 0.33 % (95 % CI 0.003, 0.657) higher HbA1c level. Those with HFI had 1.58 (95 % CI 1.13, 2.21) times the adjusted odds of an episode of DKA and 1.53 (95 % CI 0.99, 2.37) times the adjusted odds of an episode of severe hypoglycemia as those without HFI.

CONCLUSIONS

HFI is associated with higher HbA1c levels and increased odds of DKA in YYA with T1D.

Impact of Geospatial Food Access on Acute Pancreatitis Outcomes

BACKGROUND AND AIM

Food access is an important social determinant of health and refers to geographical and infrastructural aspects of food availability. Using publicly available data on food access from the United States Department of Agriculture (USDA), geospatial analyses can identify regions with variable food access, which may impact acute pancreatitis (AP), an acute inflammatory condition characterized by unpredictable outcomes and substantial mortality. This study aimed to investigate the association of clinical outcomes in patients with AP with geospatial food access.

METHODS

We examined AP-related hospitalizations at a tertiary center from January 2008 to December 2018. The physical addresses were geocoded through ArcGIS Pro2.7.0 (ESRI, Redlands, CA). USDA Food Access Research Atlas defined low food access as urban areas with 33% or more of the population residing over one mile from the nearest food source. Regression analyses enabled assessment of the association between AP outcomes and food access.

RESULTS

The study included 772 unique patients with AP residing in Massachusetts with 931 AP-related hospitalizations. One hundred and ninety-eight (25.6%) patients resided in census tracts with normal urban food access and 574 (74.4%) patients resided in tracts with low food access. AP severity per revised Atlanta classification [OR 1.88 (95%CI 1.21-2.92); p = 0.005], and 30-day AP-related readmission [OR 1.78(95%CI 1.11-2.86); p = 0.02] had significant association with food access, despite adjustment for demographics, healthcare behaviors, and comorbidities (Charlson Comorbidity Index). However, food access lacked significant association with AP-related mortality (p = 0.40) and length of stay (LOS: p = 0.99).

CONCLUSION

Low food access had a significant association with 30-day AP-related readmissions and AP severity. However, mortality and LOS lacked significant association with food access. The association between nutrition, lifestyle, and AP outcomes warrants further prospective investigation.

Interactive visualization tool to understand and monitor health disparities in diabetes care and outcomes

Objective

Type 2 diabetes (T2DM) poses a significant public health challenge, with pronounced disparities in control and outcomes. Social determinants of health (SDoH) significantly contribute to these disparities, affecting healthcare access, neighborhood environments, and social context. We discuss the design, development, and use of an innovative web-based application integrating real-world data (electronic health record and geospatial files), to enhance comprehension of the impact of SDoH on T2 DM health disparities.

Methods

We identified a patient cohort with diabetes from the institutional Diabetes Registry (N = 67,699) within the Duke University Health System. Patient-level information (demographics, comorbidities, service utilization, laboratory results, and medications) was extracted to Tableau. Neighborhood-level socioeconomic status was assessed via the Area Deprivation Index (ADI), and geospatial files incorporated additional data related to points of interest (i.e., parks/green space). Interactive Tableau dashboards were developed to understand risk and contextual factors affecting diabetes management at the individual, group, neighborhood, and population levels.

Results

The Tableau-powered digital health tool offers dynamic visualizations, identifying T2DM-related disparities. The dashboard allows for the exploration of contextual factors affecting diabetes management (e.g., food insecurity, built environment) and possesses capabilities to generate targeted patient lists for personalized diabetes care planning.

Conclusion

As part of a broader health equity initiative, this application meets the needs of a diverse range of users. The interactive dashboard, incorporating clinical, sociodemographic, and environmental factors, enhances understanding at various levels and facilitates targeted interventions to address disparities in diabetes care and outcomes. Ultimately, this transformative approach aims to manage SDoH and improve patient care.

Birth outcomes in relation to neighborhood food access and individual food insecurity during pregnancy in the Environmental Influences on Child Health Outcomes (ECHO)-wide cohort study

BACKGROUND

Limited access to healthy foods, resulting from residence in neighborhoods with low-food access or from household food insecurity, is a public health concern. Contributions of these measures during pregnancy to birth outcomes remain understudied.

OBJECTIVES

We examined associations between neighborhood food access and individual food insecurity during pregnancy with birth outcomes.

METHODS

We used data from 53 cohorts participating in the nationwide Environmental Influences on Child Health Outcomes-Wide Cohort Study. Participant inclusion required a geocoded residential address or response to a food insecurity question during pregnancy and information on birth outcomes. Exposures include low-income-low-food-access (LILA, where the nearest supermarket is >0.5 miles for urban or >10 miles for rural areas) or low-income-low-vehicle-access (LILV, where few households have a vehicle and >0.5 miles from the nearest supermarket) neighborhoods and individual food insecurity. Mixed-effects models estimated associations with birth outcomes, adjusting for socioeconomic and pregnancy characteristics.

RESULTS

Among 22,206 pregnant participants (mean age 30.4 y) with neighborhood food access data, 24.1% resided in LILA neighborhoods and 13.6% in LILV neighborhoods. Of 1630 pregnant participants with individual-level food insecurity data (mean age 29.7 y), 8.0% experienced food insecurity. Residence in LILA (compared with non-LILA) neighborhoods was associated with lower birth weight [β -44.3 g; 95% confidence interval (CI): -62.9, -25.6], lower birth weight-for-gestational-age z-score (-0.09 SD units; -0.12, -0.05), higher odds of small-for-gestational-age [odds ratio (OR) 1.15; 95% CI: 1.00, 1.33], and lower odds of large-for-gestational-age (0.85; 95% CI: 0.77, 0.94). Similar findings were observed for residence in LILV neighborhoods. No associations of individual food insecurity with birth outcomes were observed.

CONCLUSIONS

Residence in LILA or LILV neighborhoods during pregnancy is associated with adverse birth outcomes. These findings highlight the need for future studies examining whether investing in neighborhood resources to improve food access during pregnancy would promote equitable birth outcomes.

Healthy food delivery for type 2 diabetes management in rural clinics' patients: A comparative effectiveness randomized controlled trial protocol

BACKGROUND

Rural populations experience a higher prevalence of both food insecurity and type 2 diabetes mellitus (T2DM) than metropolitan populations and face many challenges in accessing resources essential to optimal T2DM self-management. This study aims to address these challenges by delivering a T2DM-appropriate food box and recipes directly to rural participants' homes.

METHODS

This is a comparative effectiveness randomized controlled trial including 400 English- or Spanish-speaking rural adult participants with T2DM (HbA1c ≥6.5%) experiencing food insecurity. Participants are randomly assigned to a 3-month Healthy Food Delivery Intervention (HFDI) plus one 60-min virtual consultation with a diabetes educator or consultation only. The HFDI includes a weekly food box delivery with recipes. Data are collected at pre-intervention, 3-months (post-intervention), 9-months, and 15-months. The primary outcome is change in HbA1c, with secondary measures including diet quality (Healthy Eating Index-2015, calculated from one 24-h dietary recall at each data collection time point), cardio-metabolic risk factors (i.e., blood pressure, lipids, body mass index, glucose), and patient-centered outcomes (e.g., T2DM self-efficacy, T2DM-related distress). Process evaluation data (e.g., successful food box deliveries, diabetes educator consultation attendance, intervention satisfaction) are collected during and post-intervention (3-months). A cost-effectiveness analysis based on traditional cost per quality-adjusted life year gain thresholds will be conducted to estimate the incremental cost-effectiveness between HFDI plus consultation and consultation alone.

CONCLUSION

Findings from this study will provide evidence regarding the effectiveness of an intervention that promotes participant adherence and improves access to healthy food.

CLINICAL TRIAL REGISTRATION

NCT04876053.

Effect of Race and Insurance Status on Treatment and Outcomes in Diabetic Retinopathy: Analysis of 43 274 Eyes Using the IRIS Registry

Purpose: To examine disparities in visual acuity (VA) outcomes 1 year and 2 years after initiation of diabetic retinopathy (DR) or diabetic macular edema (DME) treatment in patients based on race/ethnicity and insurance status, accounting for disease severity. Methods: This retrospective analysis used the IRIS Registry and included DR patients older than 18 years with documented antivascular endothelial growth factor (anti-VEGF) treatment and VA data for at least 2 years. International Classification of Diseases, Tenth Revision, Clinical Modification codes were used to determine the severity of DR and DME presence. VA outcomes were assessed using multivariable linear regressions and anti-VEGF drug use by multivariable logistic regressions, with race and insurance status as independent variables. Main outcome measures comprised the mean VA change at 1 year and 2 years and percentage of patients treated with bevacizumab. Results: The study included 43 274 eyes. White patients presented with a higher mean VA and lower mean DR severity than Black patients and Hispanic patients. Multivariable logistic regression showed Hispanic patients were significantly more likely to be treated with bevacizumab than White patients across all insurance types, controlling for disease severity and VA. After 1 year, the letter improvement was 1.73, 1.33, and 1.13 in White patients, Black patients, and Hispanic patients, respectively. Multivariable linear regression suggested that across races, Medicaid-insured patients had significantly smaller gains in VA than privately insured patients. Conclusions: Race-based and insurance-based differences in 1-year and 2-year outcomes after anti-VEGF treatment for DR and anti-VEGF treatment patterns suggest a need to ensure earlier and more effective treatment of minority and underserved patients in the United States.

Food insecurity screening and local food access: Contributions to nutritional outcomes among children and adults with cystic fibrosis in the United States

BACKGROUND

As the nutritional status of people with CF (PwCF) is associated with their socioeconomic status, it is important to understand factors related to food security and food access that play a role in the nutritional outcomes of this population. We assessed the contributions of CF program-level food insecurity screening practices and area-level food access for nutritional outcomes among PwCF.

METHODS

We conducted a cross-sectional analysis of 2019 data from the U.S. CF Patient Registry (CFFPR), linked to survey data on CF program-level food insecurity screening and 2019 patient zip code-level food access. Pediatric and adult populations were analyzed separately. Nutritional outcomes were assessed with annualized BMI percentiles (CDC charts) for children and BMI (kg/m2) for adults, with underweight status defined as BMIp <10% for children and BMI <18.5 kg/m2 for adults, and overweight or obese status defined as BMIp >85% for children and BMI >25 kg/m2 for adults. Analyses were adjusted for patient sociodemographic and clinical characteristics.

RESULTS

The study population included 11,971 pediatric and 14,817 adult PwCF. A total of 137 CF programs responded to the survey, representing 71% of the pediatric sample and 45% of the CFFPR adult sample. The joint models of nutritional status as a function of both program-level food insecurity screening and area-level food access produced the following findings. Among children with CF, screening at every visit vs less frequently was associated with 39% lower odds of being underweight (OR 0.61, p = 0.019), and the effect remained the same and statistically significant after adjusting for all covariates (aOR 0.61, p = 0.047). Residence in a food desert was associated both with higher odds of being underweight (OR 1.66, p = 0.036; aOR 1.58, p = 0.008) and with lower BMIp (-4.81%, p = 0.004; adjusted -3.73%, p = 0.014). Among adults with CF, screening in writing vs verbally was associated with higher odds of being overweight (OR 1.22, p = 0.028; aOR 1.36, p = 0.002) and higher BMI (adjusted 0.43 kg/m2, p = 0.032). Residence in a food desert was associated with higher odds of being underweight (OR 1.48, p = 0.025).

CONCLUSIONS

Food insecurity screening and local food access are independent predictors of nutritional status among PwCF. More frequent screening is associated with less underweight among children with CF, whereas screening in writing (vs verbally) is associated with higher BMI among adults. Limited food access is associated with higher odds of being underweight in both children and adults with CF, and additionally with lower BMI among children with CF. Study results highlight the need for standardized, evidence-based food insecurity screening across CF care programs and for equitable food access to optimize the nutritional outcomes of PwCF.

Food deserts exposure, density of fast-food restaurants, and park access: Exploring the association of food and recreation environments with obesity and diabetes using global and local regression models

To prevent obesity and diabetes environmental interventions such as eliminating food deserts, restricting proliferation of food swamps, and improving park access are essential. In the United States, however, studies that examine the food and park access relationship with obesity and diabetes using both global and local regression are lacking. To guide county, state, and federal policy in combating obesity and diabetes, there is a need for cross-scale analyses to identify that relationship at national and local levels. This study applied spatial regression and geographically weighted regression to the 3,108 counties in the contiguous United States. Global regression show food deserts exposure and density of fast-food restaurants have non-significant association with obesity and diabetes while park access has a significant inverse association with both diseases. Geographically weighted regression that takes into account spatial heterogeneity shows that, among southern states that show high prevalence of obesity and diabetes, Alabama and Mississippi stand out as having opportunity to improve park access. Results suggest food deserts exposure are positively associated with obesity and diabetes in counties close to Alabama, Georgia, and Tennessee while density of fast-food restaurants show positive association with two diseases in counties of western New York and northwestern Pennsylvania. These findings will help policymakers and public health agencies in determining which geographic areas need to be prioritized when implementing public interventions such as promoting healthy food access, limiting unhealthy food options, and increasing park access.

Association of food insecurity with changes in diet quality, weight, and glycemia over two years in adults with prediabetes and type 2 diabetes on medicaid

Little is known about longitudinal associations between food insecurity (FI) and diet, weight, and glycemia in people with prediabetes and type 2 diabetes (T2D). In a secondary analysis of Medicaid-enrolled health center patients with prediabetes or T2D in Boston, Massachusetts (N = 188), we examined associations between food security (FS) and measures of diet quality, weight, and hyperglycemia. FS (10-item USDA FS module) was ascertained at baseline, 1-year, and 2-year follow-up and categorized as persistently secure, intermittently insecure, or persistently insecure. Associations between FS category and changes in Healthy Eating Index-2020 (HEI-20), body mass index (BMI), and hemoglobin A1c (A1c) from baseline to year 2 were assessed using multivariate generalized linear models. Participants had median (p25, p75) age of 52 (42, 57); 71.8% were female and 62.8% Hispanic. Over follow-up, 32.4% were persistently food secure, 33.0% intermittently insecure, and 34.5% persistently insecure. Baseline mean (SD) HEI-20, BMI, and A1c were 55.8 (14.5), 35.9 (8.7) kg/m2, 7.1% (1.6) and did not differ by FS category. FS category was not associated with changes in HEI-20, BMI, and A1c at 2 years (all p > 0.05). Results suggest that Medicaid-enrolled adults with prediabetes or T2D, regardless of FS status, would benefit from dietary and weight management interventions.

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.

Understanding food insecurity risk in the United States: A longitudinal analysis

Background

Food insecurity, lack of consistent access to the food needed for an active, healthy life, harms population health. Although substantial biomedical evidence examines the connections between food insecurity and health, fewer studies examine why food insecurity occurs.

Methods

We propose a conceptual understanding of food insecurity risk based on institutions that distribute income-the factor payment system (income distribution stemming from paid labor and asset ownership), transfers within households, and the government tax-and-transfer system. A key feature of our understanding is 'roles' individuals inhabit in relation to the factor payment system: child, older adult, disabled working-age adult, student, unemployed individual, caregiver, or paid laborer. A second feature is that the roles of others in an individual's household also affect an individual's food insecurity risk. We tested hypotheses implied by this understanding, particularly hypotheses relating to role, household composition, and income support programs, using nationally-representative, longitudinal U.S. Current Population Survey data (2016-2019).

Results

There were 16,884 participants (year 1 food insecurity prevalence: 10.0%). Inhabiting roles of child (Relative Risk [RR] 1.79, 95% Confidence Interval [95%CI] 1.67 to 1.93), disabled working age-adult (RR 3.74, 95%CI 3.25 to 4.31), or unemployed individual (RR 3.29, 95%CI 2.51 to 4.33) were associated with a greater risk of food insecurity than being a paid laborer. Most food insecure households, 74.8%, had members inhabiting roles of child or disabled working age-adult, and/or contained individuals who experienced job loss. Similar associations held when examining those transitioning from food insecurity to food security in year 2.

Conclusions

The proposed understanding accords with the pattern of food insecurity risk observed in the U.S. An implication is that transfer income programs for individuals inhabiting roles, such as childhood and disability, that limit factor payment system participation may reduce food insecurity risk for both those individuals and those in their household.

Social Determinants of Health Associated With the Need for Urgent Versus Elective Cholecystectomy at an Urban, Safety-Net Hospital

Background: Benign gallstone disease is the most frequent indication for cholecystectomy in the United States. Many patients present with complicated disease requiring urgent interventions, which increases morbidity and mortality. We investigated the association between individual and population-level social determinants of health (SDoH) with urgent versus elective cholecystectomy. Patients and Methods: All patients undergoing cholecystectomy (2014-2021) for benign gallstone disease were included. Demographic and clinical data were linked to population-level SDoH characteristics using census tracts. Data were analyzed using descriptive and inferential statistics. Results: A total of 3,197 patients met inclusion criteria; 1,913 (59.84%) underwent urgent cholecystectomy, 1,204 (37.66%) underwent emergent cholecystectomy, and 80 (2.5%) underwent interval cholecystectomy. On multinomial logistic regression, patients who were older (relative risk [RR], 1.010; p < 0.001), black (RR, 1.634; p = 0.008), and living in census tracts with a higher percent of poverty (RR, 0.017; p = 0.021) had a higher relative risk of presenting for urgent cholecystectomy. Patients who were female (RR, 0.462; p < 0.001), had a primary care provider (PCP; RR, 0.821; p = 0.018), and lived in census tracts with low supermarket access (RR, 0.764; p = 0.038) had a lower relative risk of presenting for urgent cholecystectomy. Only age (RR, 1.066; p < 0.001), female gender (RR, 0.227; p < 0.001), and having a PCP (RR, 1.984; p = 0.034) were associated with presentation for interval cholecystectomy. Conclusions: Patients who were older, black, and living in census tracts with high poverty levels had a higher relative risk of presenting for urgent cholecystectomy at our institution, whereas females and patients with PCPs were more likely to undergo elective cholecystectomy. Improved access to primary care and surgical clinics for all patients at safety-net hospitals may result in improved outcomes in the management of benign gallstone disease by increasing diagnosis and treatment in the elective setting.

A positive association between food insecurity and the prevalence of overactive bladder in U.S. adults

Objective

This study aims to examine the correlation between overactive bladder (OAB) and food insecurity.

Methods

We conducted a cross-sectional analysis utilizing extensive population data derived from the National Health and Nutrition Examination Survey 2007-2018. The status of Household food insecurity is evaluated by the US Food Security Survey Module. To explore the relationship between food insecurity and OAB, three multivariable logistic regression models were carried out. Additionally, interaction and stratified analyses were also performed to find whether some factors have the potential to alter the correlation.

Results

There were 29,129 participants enrolled in the study. Compared to the other three groups, individuals with full food security exhibited a lower proportion of nocturia, urinary urgency incontinence, and OAB. In the fully-adjusted model, it was found that people experiencing food insecurity have a significantly higher prevalence of OAB compared to those with food security in the fully-adjusted model (OR = 1.540, 95%CI 1.359-1.745). Additionally, there was a significant association between the levels of food insecurity and an increased risk of OAB prevalence was also observed (marginal food security: OR = 1.312, low food security: OR = 1.559, and very low food security: OR = 1.759). No significant interaction was seen in the fully-adjusted model.

Conclusion

There is a strong positive correlation between food insecurity and the prevalence of OAB. Similarly, the correlation between levels of food insecurity and OAB also indicates the same trend. Namely, the more insecure food, the higher risk of OAB prevalence in the population.

1. Improving Care and Promoting Health in Populations: Standards of Care in Diabetes-2024

The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at https://professional.diabetes.org/SOC.

Feasibility of a food-based diabetes self-management education intervention for food insecure patients with type 2 diabetes: a convergent mixed methods study

OBJECTIVE

To assess the feasibility of a food-based diabetes self-management education and support (DSMES) intervention delivered to persons with type 2 diabetes (T2DM) and food insecurity.

DESIGN

This single arm pre-/post convergent mixed methods study tested the feasibility of a 3-month intervention using food boxes, recipes, DSMES and dietitian visits. Feasibility benchmarks assessed were acceptability (> 50 % participants satisfied), demand (> 50 % used program components) and implementation (75 % adherence, 80 % retention). Assessments included: self-reported food security, health-related quality of life, diabetes self-efficacy, socio-demographic and dietary intake, height, weight, and HbA1c and one in-depth interview with participants and key staff. Enrollment, recruitment and retention rates were summarised; qualitative data were analysed using structured thematic analysis (participant interviews) and key point summaries (staff interviews). Quantitative/qualitative data integration was conducted using a joint display.

SETTING

Food bank and Federally Qualified Health Center in the Southwestern U.S.

PARTICIPANTS

English- or Spanish-speaking adults with T2DM and food insecurity.

RESULTS

In total, 247 patients with T2DM and food insecurity were recruited, seventy-one expressed interest and twenty-five consented. Twenty-one participants completed study measurements. 71 % (n 15) received six home food deliveries and ≥ 1 dietitian visit. A priori benchmarks were approached or met within each feasibility criterion - most participants found the intervention to be acceptable, used most or all intervention components, and reported some challenges within intervention implementation (e.g. timing of food deliveries). Data integration provided deeper understanding of reported intervention implementation challenges, yet high adherence to the intervention.

CONCLUSIONS

The intervention was feasible. Next steps include a clinical trial to establish intervention efficacy.

Social determinants of health and glycemic control in persons with type 2 diabetes mellitus attending a tertiary hospital in Nepal: A cross-sectional study

Background

Diabetes mellitus (DM) is an emerging global public health challenge worldwide, including Nepal. Social determinants of health (SDOH) play a major role in glycemic control among persons with type 2 DM (T2DM). However, little is known about the association between SDOH and glycemic control among individuals with T2DM in Nepal.

Objective

This study aimed to identify the level of glycemic control and SDOH associated with glycemic control among Nepalese with T2DM.

Methods

This cross-sectional study was conducted at a tertiary hospital in Kathmandu, Nepal, among 135 Nepalese diagnosed with T2DM who attended follow-up appointments. Convenience sampling and inclusion criteria were utilized for participant selection. Data were collected from April to June 2021 using validated scales. Descriptive statistics, Chi-square test, and binary logistic regression were employed to analyze the data.

Results

The mean age of the participants in this study was 53.84 (SD = 11.78) years, and the average monthly household income was 567.64 (SD = 362.30) USD. The majority of the participants (77.8%) were literate and had no health insurance coverage (73.3%). Approximately 64.4% of the participants showed suboptimal glycemic control indicated by glycated hemoglobin (HbA1c) ≥7%. The significant determinants of good glycemic control included monthly household income of >850 USD (odds ratio [OR] = 12.20, 95% confident interval [CI] = 1.76-84.61, p = 0.011) and 341-600 USD (OR = 7.64, 95% CI 1.35-42.98, p = 0.021), being literate (OR = 6.37, 95% CI = 1.65-24.49, p = 0.007), having health insurance (OR = 5.82, 95% CI = 1.49-22.65, p = 0.011), sufficient health literacy (OR = 3.46, 95% CI = 1.10-10.83, p = 0.03), and high (OR = 16.17, 95% CI = 2.36-110.67, p = 0.005) and moderate (OR = 7.02, 95% CI = 1.26-39.07, p = 0.026) food availability, respectively.

Conclusion

The study revealed suboptimal glycemic control in Nepalese with T2DM. This study presents essential social determinants of glycemic control in this population. Therefore, healthcare providers, particularly nurses, should pay more attention to assessing social determinants and provide targeted interventions to patients with T2DM who have low income, are illiterate, have no health insurance coverage, have insufficient health literacy, and have low resources for food availability.

Association of Food Insecurity with Changes in Diet Quality, Weight, and Glycemia Over Two Years in Adults with Prediabetes and Type 2 Diabetes on Medicaid

Little is known about longitudinal associations between food insecurity (FI) and diet, weight, and glycemia in people with prediabetes and type 2 diabetes (T2D). In a secondary analysis of Medicaid-enrolled health center patients with prediabetes or T2D in Boston, Massachusetts (N = 188), we examined associations between food security (FS) and measures of diet quality, weight, and hyperglycemia. FS (10-item USDA FS module) was ascertained at baseline, 1-year, and 2-year follow-up and categorized as persistently secure, intermittently insecure, or persistently insecure. Associations between FS category and changes in Healthy Eating Index-2020 (HEI-20), body mass index (BMI), and hemoglobin A1c (A1c) from baseline to year 2 were assessed using multivariate generalized linear models. Participants had median (p25, p75) age of 52 (42, 57); 71.8% were female and 62.8% Hispanic. Over follow-up, 32.4% were persistently food secure, 33.0% intermittently insecure, and 34.5% persistently insecure. Baseline mean (SD) HEI-20, BMI, and A1c were 55.8 (14.5), 35.9 (8.7) kg/m2, 7.1% (1.6) and did not differ by FS category. FS category was not associated with changes in HEI-20, BMI, and A1c at 2 years (all p > 0.05). Results suggest that Medicaid-enrolled adults with prediabetes or T2D, regardless of FS status, would benefit from dietary and weight management interventions.

Food Insecurity Screening in Primary Care: Patterns During the COVID-19 Pandemic by Encounter Modality

INTRODUCTION

Screening for food insecurity in clinical settings is recommended, but implementation varies widely. This study evaluated the prevalence of screening for food insecurity and other social risks in telehealth versus in-person encounters during the COVID-19 pandemic and changes in screening before versus after widespread COVID-19 vaccine availability.

METHODS

These cross-sectional analyses used electronic health record and ancillary clinic data from a national network of 400+ community health centers with a shared electronic health record. Food insecurity screening was characterized in 2022 in a sample of 275,465 first encounters for routine primary care at any network clinic during March 11, 2020-December 31, 2021. An adjusted multivariate multilevel probit model estimated screening prevalence on the basis of encounter mode (in-person versus telehealth) and time period (initial pandemic versus after vaccine availability) in a random subsample of 11,000 encounters.

RESULTS

Encounter mode was related to food insecurity screening (p<0.0001), with an estimated 9.2% screening rate during in-person encounters, compared with 5.1% at telehealth encounters. There was an interaction between time period and encounter mode (p<0.0001), with higher screening prevalence at in-person versus telehealth encounters after COVID-19 vaccines were available (11.7% vs 4.9%) than before vaccines were available (7.8% vs 5.2%).

CONCLUSIONS

Food insecurity screening in first primary care encounters is low overall, with lower rates during telehealth visits and the earlier phase of the COVID-19 pandemic. Future research should explore the methods for enhancing social risk screening in telehealth encounters.

The Impact of Neighborhoods on Diabetes Risk and Outcomes: Centering Health Equity

Neighborhood environments significantly influence the development of diabetes risk factors, morbidity, and mortality throughout an individual's life. The social, economic, and physical environments of a neighborhood all affect the health risks of individuals and communities and also affect population health inequities. Factors such as access to healthy food, green spaces, safe housing, and transportation options can impact the health outcomes of residents. Social factors, including social cohesion and neighborhood safety, also play an important role in shaping neighborhood environments and can influence the development of diabetes. Therefore, understanding the complex relationships between neighborhood environments and diabetes is crucial for developing effective strategies to address health disparities and promote health equity. This review presents landmark findings from studies that examined associations between neighborhood socioeconomic, built and physical, and social environmental factors and diabetes-related risk and outcomes. Our framework emphasizes the historical context and structural and institutional racism as the key drivers of neighborhood environments that ultimately shape diabetes risk and outcomes. To address health inequities in diabetes, we propose future research areas that incorporate health equity principles and place-based interventions.

Disparities in Food Security and Glycemic Control Among People with Type 2 Diabetes During the COVID-19 Pandemic

Background

Little is known about the differing impacts of food insecurity on HbA1c by race in type 2 diabetes (T2D). Predictions around increased food insecurity from COVID-19 exacerbating racial disparities led us to estimate its prevalence and associations with HbA1c by race during the COVID-19 pandemic.

Methods

Data came from medical records and surveys among a clinic-based sample of T2D patients. Linear regression models estimated associations between food insecurity and HbA1c and between change in food insecurity and change in HbA1c. Likelihood ratio tests and examination of stratum-specific estimates assessed effect modification by race.

Results

Our sample was 59% White, 59% female, and mean age was 60.8 ± 12.6. During the pandemic, food insecurity prevalence and HbA1c were significantly (p < .05) higher among non-Whites (39%, 8.4% ± 2.1) compared to Whites (15%, 7.8% ±1.6). HbA1c among those who were very food insecure was 1.00% (95% CI: 0.222, 1.762, p = .01) higher than those who were food secure. Those with increased food insecurity had a 0.58% (95% CI: 0.024, 1.128, p = .04) higher HbA1c increase than among those experiencing no change. No effect modification was detected.

Limitations

Convenience sampling in an endocrinology clinic, recall bias, and inadequate power may underlie null effect modification results.

Conclusion

Although effect modification was not detected, racial disparities in HbA1c and food insecurity warrant further investigation. These disparities, combined with the significant impact of food insecurity on HbA1c, suggest that prioritization of resources to high-risk populations should be considered early during public emergencies to minimize short- and long-term health consequences.

Development and Evaluation of the Delivery-Based HEALED Produce Rx Program for Uninsured Patients With Diabetes in Rural Eastern North Carolina

Produce prescription (PRx) programs have emerged as a preventive treatment to subsidize the cost of fruits and vegetables for people with lower income and have shown promise in improving diet quality and diabetes-related health outcomes (eg, glycated hemoglobin A_1c). Researchers from the Department of Nutrition Science at East Carolina University worked with the Wayne Action Teams for Community Health (WATCH) Clinic, a safety-net clinic in rural Eastern North Carolina, and a local research farm to develop a PRx program for rural patients with type 2 diabetes and no health insurance. Preliminary patient surveys identified high levels of interest in a PRx program and a desire for recipes to accompany the produce. Formative evaluation results via telephone interviews with eligible patients identified transportation barriers to participation and the desire for complementary nutrition education and culinary resources. These results led to a delivery-based PRx program implemented from June through November 2021. Patients received weekly home delivery of an average of 4.7 pounds of fruits and vegetables and complementary nutrition and health education materials and culinary resources (cookbook, recipes). The level of patient satisfaction with the program was high; the reported level of consumption of produce, including unfamiliar produce, was high; educational resources were associated with increased knowledge and motivation to make healthful lifestyle changes, and glycemic control significantly improved. Ensuring that patients have a voice in the design and implementation of PRx programs is crucial to success. Ongoing use of rigorous formative and process evaluations can ensure appropriateness, use, and a positive effect of PRx programs, and they are needed to establish best practices for implementation.

Diet and Food and Nutrition Insecurity and Cardiometabolic Disease

Poor nutrition is the leading cause of poor health, health care spending, and lost productivity in the United States and globally, which acts through cardiometabolic diseases as precursors to cardiovascular disease, cancer, and other conditions. There is great interest in how the social determinants of health (the conditions in which people are born, live, work, develop, and age) impact cardiometabolic disease. Food insecurity is an example of a powerful social determinant of health that impacts health outcomes. Nutrition insecurity, a distinct but related concept to food insecurity, is a direct determinant of health. In this article, we provide an overview of how diet in early life relates to cardiometabolic disease and then continue to focus on the concepts of food insecurity and nutrition insecurity. In the discussions herein we make important distinctions between the concepts of food insecurity and nutrition insecurity and provide a review of their concepts, histories, measurement and assessment devices, trends and prevalence, and links to health and health disparities. The discussions here set the stage for future research and practice to directly address the negative consequences of food and nutrition insecurity.

Association of Unmet Social Needs With Level of Capability in People With Persistent Knee Pain

BACKGROUND

Musculoskeletal providers are increasingly recognizing the importance of social factors and their association with health outcomes as they aim to develop more comprehensive models of care delivery. Such factors may account for some of the unexplained variation between pathophysiology and level of pain intensity and incapability experienced by people with common conditions, such as persistent nontraumatic knee pain secondary to osteoarthritis (OA). Although the association of one's social position (for example, income, employment, or education) with levels of pain and capability are often assessed in OA research, the relationship between aspects of social context (or unmet social needs) and such symptomatic and functional outcomes in persistent knee pain are less clear.

QUESTIONS/PURPOSES

(1) Are unmet social needs associated with the level of capability in patients experiencing persistently painful nontraumatic knee conditions, accounting for sociodemographic factors? (2) Do unmet health-related social needs correlate with self-reported quality of life?

METHODS

We performed a prospective, cross-sectional study between January 2021 and August 2021 at a university academic medical center providing comprehensive care for patients with persistent lower extremity joint pain secondary to nontraumatic conditions such as age-related knee OA. A final 125 patients were included (mean age 62 ± 10 years, 65% [81 of 125] women, 47% [59 of 125] identifying as White race, 36% [45 of 125] as Hispanic or Latino, and 48% [60 of 125] with safety-net insurance or Medicaid). We measured patient-reported outcomes of knee capability (Knee injury and Osteoarthritis Outcome Score for Joint Replacement), quality of life (Patient-Reported Outcome Measure Information System [PROMIS] Global Physical Health and PROMIS Global Mental Health), and unmet social needs (Accountable Health Communities Health-Related Social Needs Survey, accounting for insufficiencies related to housing, food, transportation, utilities, and interpersonal violence), as well as demographic factors.

RESULTS

After controlling for demographic factors such as insurance status, education attained, and household income, we found that reduced knee-specific capability was moderately associated with experiencing unmet social needs (including food insecurity, housing instability, transportation needs, utility needs, or interpersonal safety) (standardized beta regression coefficient [β] = -4.8 [95% confidence interval -7.9 to -1.7]; p = 0.002 and substantially associated with unemployment (β = -13 [95% CI -23 to -3.8]; p = 0.006); better knee-specific capability was substantially associated with having Medicare insurance (β = 12 [95% CI 0.78 to 23]; p = 0.04). After accounting for factors such as insurance status, education attained, and household income, we found that older age was associated with better general mental health (β = 0.20 [95% CI 0.0031 to 0.39]; p = 0.047) and with better physical health (β = 0.004 [95% CI 0.0001 to 0.008]; p = 0.04), but effect sizes were small to negligible, respectively.

CONCLUSION

There is an association of unmet social needs with level of capability and unemployment in patients with persistent nontraumatic knee pain. This finding signals a need for comprehensive care delivery for patients with persistent knee pain that screens for and responds to potentially modifiable social risk factors, including those based on one's social circumstances and context, to achieve better outcomes.

LEVEL OF EVIDENCE

Level II, prognostic study.

Residing in a Food Desert and Adverse Cardiovascular Events in US Veterans With Established Cardiovascular Disease

Residents living in a "food desert" are known to be at a higher risk for developing cardiovascular disease (CVD). However, national-level data regarding the influence of residing in a food desert in patients with established CVD is lacking. Data from veterans with established atherosclerotic CVD who received outpatient care in the Veterans Health Administration system between January 2016 and December 2021 were obtained, with follow-up information collected until May 2022 (median follow-up: 4.3 years). A food desert was defined using the United States Department of Agriculture criteria, and census tract data were used to identify Veterans in these areas. All-cause mortality and the occurrence of major adverse cardiovascular events (MACEs; a composite of myocardial infarction/stroke/heart failure/all-cause mortality) were evaluated as the co-primary end points. The relative risk for MACE in food desert areas was evaluated by fitting multivariable Cox models adjusted for age, gender, race, ethnicity, and median household income, with food desert status as the primary exposure. Of the 1,640,346 patients (mean age 72 years, women 2.7%, White 77.7%, Hispanic 3.4%), 25,7814 (15.7%) belonged to the food desert group. Patients residing in food deserts were younger; more likely to be Black (22% vs 13%)or Hispanic (4% vs 3.5%); and had a higher prevalence of diabetes mellitus (52.7% vs 49.8%), chronic kidney disease (31.8% vs 30.4%,) and heart failure (25.6% vs 23.8%). Adjusted for covariates, food desert patients had a higher risk of MACE (hazard ratio 1.040 [1.033 to 1.047]; p <0.001) and all-cause mortality (hazard ratio 1.032 [1.024 to 1.039]; p <0.001). In conclusion, we observed that a large proportion of US veterans with established atherosclerotic CVD reside in food desert census tracts. Adjusting for age, gender, race, and ethnicity, residing in food deserts was associated with a higher risk of adverse cardiac events and all-cause mortality.

Implementation Support for a Social Risk Screening and Referral Process in Community Health Centers

Evidence is needed about how to effectively support health care providers in implementing screening for social risks (adverse social determinants of health) and providing related referrals meant to address identified social risks. This need is greatest in underresourced care settings. The authors tested whether an implementation support intervention (6 months of technical assistance and coaching study clinics through a five-step implementation process) improved adoption of social risk activities in community health centers (CHCs). Thirty-one CHC clinics were block-randomized to six wedges that occurred sequentially. Over the 45-month study period from March 2018 to December 2021, data were collected for 6 or more months preintervention, the 6-month intervention period, and 6 or more months postintervention. The authors calculated clinic-level monthly rates of social risk screening results that were entered at in-person encounters and rates of social risk-related referrals. Secondary analyses measured impacts on diabetes-related outcomes. Intervention impact was assessed by comparing clinic performance based on whether they had versus had not yet received the intervention in the preintervention period compared with the intervention and postintervention periods. In assessing the results, the authors note that five clinics withdrew from the study for various bandwidth-related reasons. Of the remaining 26, a total of 19 fully or partially completed all 5 implementation steps, and 7 fully or partially completed at least the first 3 steps. Social risk screening was 2.45 times (95% confidence interval [CI], 1.32-4.39) higher during the intervention period compared with the preintervention period; this impact was not sustained postintervention (rate ratio, 2.16; 95% CI, 0.64-7.27). No significant difference was seen in social risk referral rates during the intervention or postintervention periods. The intervention was associated with greater blood pressure control among patients with diabetes and lower rates of diabetes biomarker screening postintervention. All results must be interpreted considering that the Covid-19 pandemic began midway through the trial, which affected care delivery generally and patients at CHCs particularly. Finally, the study results show that adaptive implementation support was effective at temporarily increasing social risk screening. It is possible that the intervention did not adequately address barriers to sustained implementation or that 6 months was not long enough to cement this change. Underresourced clinics may struggle to participate in support activities over longer periods without adequate resources, even if lengthier support is needed. As policies start requiring documentation of social risk activities, safety-net clinics may be unable to meet these requirements without adequate financial and coaching/technical support.

Food Insecurity and Cognitive Trajectories in Community-Dwelling Medicare Beneficiaries 65 Years and Older

Importance

Food insecurity has a known association with prevalent impaired cognition. However, it is unknown whether food insecurity has a longitudinal association with cognitive decline among older adults.

Objective

To determine whether food insecurity is associated with a faster decline in cognitive function among community-dwelling older adults.

Design, Setting, and Participants

This retrospective cohort study used data from a nationally representative sample of Medicare beneficiaries 65 years and older recruited for the National Health and Aging Trends Study (NHATS). Community-dwelling NHATS participants were followed up for a maximum of 7 years (mean [SD] follow-up duration, 5.4 [1.1] years). Data were collected from January 1, 2012, to December 31, 2020, and analyzed from December 23, 2021, to December 6, 2022.

Exposures

Self-reported food insecurity assessed from 2012 to 2019.

Main Outcomes and Measures

Primary outcomes were immediate memory, delayed memory, and executive function collected from 2013 to 2020. Immediate and delayed recall were assessed by a 10-item word-list memory task (range, 0-10, with higher scores indicating more words recalled). Executive function was measured by the clock drawing test (range, 0-5, with higher scores indicating more accurate depiction of a clock). Each year's cognitive functions were linked to the prior year's food insecurity data. Linear mixed-effects models with random slopes and intercepts were used to examine the association between food insecurity and cognitive decline. Analytic weights in each year were applied to represent community-dwelling Medicare beneficiaries 65 years and older in 2011.

Results

Of 3037 participants, a weighted 57.8% (raw count, 1345) were younger than 75 years, 56.2% (raw count, 1777) were women, and most (84.9% [raw count, 2268]) were White. Over 7 years, 417 (weighted proportion, 12.1%) experienced food insecurity at least once. Food insecurity was associated with a faster decline in executive function in a fully adjusted model: the mean difference of annual change in executive function score between people exposed to and not exposed to food insecurity was -0.04 (95% CI, -0.09 to -0.003) points. However, food insecurity was not associated with changes in immediate and delayed memory (0.01 [95% CI, -0.05 to 0.08] and -0.01 [95% CI, -0.08 to 0.06], respectively).

Conclusions and Relevance

Among community-dwelling older adults, food insecurity was prevalent and associated with a decline in executive function. Interventions and policies aiming to increase healthy food access or reduce food insecurity should be assessed for their impact on older adults' cognitive outcome.

Association of community walkability and glycemic control among pregnant individuals with pregestational diabetes mellitus

BACKGROUND

Neighborhood walkability is a community-level social determinant of health that measures whether people who live in a neighborhood walk as a mode of transportation. Whether neighborhood walkability is associated with glycemic control among pregnant individuals with pregestational diabetes remains to be defined.

OBJECTIVE

This study aimed to evaluate the association between community-level neighborhood walkability and glycemic control as measured by hemoglobin A1c (A1C) among pregnant individuals with pregestational diabetes.

STUDY DESIGN

This was a retrospective analysis of pregnant individuals with pregestational diabetes enrolled in an integrated prenatal and diabetes care program from 2012 to 2016. Participant addresses were geocoded and linked at the census-tract level. The exposure was community walkability, defined by the US Environmental Protection Agency National Walkability Index (score range 1-20), which incorporates intersection density (design), proximity to transit stops (distance), and a mix of employment and household types (diversity). Individuals from neighborhoods that were the most walkable (score, 15.26-20.0) were compared with those from neighborhoods that were less walkable (score <15.26), as defined per national Environmental Protection Agency recommendations. The outcomes were glycemic control, including A1C <6.0% and <6.5%, measured both in early and late pregnancy, and mean change in A1C across pregnancy. Modified Poisson regression and linear regression were used, respectively, and adjusted for maternal age, body mass index at delivery, parity, race and ethnicity as a social determinant of health, insurance status, baseline A1C, gestational age at A1C measurement in early and late pregnancy, and diabetes type.

RESULTS

Among 417 pregnant individuals (33% type 1, 67% type 2 diabetes mellitus), 10% were living in the most walkable communities. All 417 individuals underwent A1C assessment in early pregnancy (median gestational age, 9.7 weeks; interquartile range, 7.4-14.1), and 376 underwent another A1C assessment in late pregnancy (median gestational age, 30.4 weeks; interquartile range, 27.8-33.6). Pregnant individuals living in the most walkable communities were more likely to have an A1C <6.0% in early pregnancy (15% vs 8%; adjusted relative risk, 1.46; 95% confidence interval, 1.00-2.16), and an A1C <6.5% in late pregnancy compared with those living in less walkable communities (13% vs 9%; adjusted relative risk, 1.33; 95% confidence interval, 1.08-1.63). For individuals living in the most walkable communities, the median A1C was 7.5 (interquartile range, 6.0-9.4) in early pregnancy and 5.9 (interquartile range, 5.4-6.4) in late pregnancy. For those living in less walkable communities, the median A1C was 7.3 (interquartile range, 6.2-9.2) in early pregnancy and 6.2 (interquartile range, 5.6-7.1) in late pregnancy. Change in A1C across pregnancy was not associated with walkability.

CONCLUSION

Pregnant individuals with pregestational diabetes mellitus living in more walkable communities had better glycemic control in both early and late pregnancy. Whether community-level interventions to enhance neighborhood walkability can improve glycemic control in pregnancy requires further study.

Association of community-level food insecurity and glycemic control among pregnant individuals with pregestational diabetes

AIM

To evaluate whether pregnant individuals with pregestational diabetes who live in a food-insecure community have worse glycemic control compared to those who do not live in a food-insecure community.

METHODS

A retrospective analysis of pregnant individuals with pregestational diabetes enrolled in a multidisciplinary prenatal and diabetes care program. The exposure was community-level food insecurity per the Food Access Research Atlas. The outcomes were hemoglobin A1c (A1c) < 6.0 % in early and late pregnancy, and an absolute decrease in A1c ≥ 2.0 % and mean change in A1c across pregnancy.

RESULTS

Among 418 assessed pregnant individuals with pregestational diabetes, those living in a food-insecure community were less likely to have an A1c < 6.0 % in early pregnancy compared to those living in a community without food insecurity [16 % vs. 30 %; adjusted risk ratio (aRR): 0.55; 95 % CI: 0.33-0.92]. Individuals living in a food-insecure community were more likely to achieve a decrease in A1c ≥ 2.0 % [35 % vs. 21 %; aRR: 1.55; 95 % CI: 1.06-2.28] and a larger mean decrease in A1c across pregnancy [mean: 1.46 vs. 1.00; adjusted beta: 0.47; 95 % CI: 0.06-0.87)].

CONCLUSIONS

Pregnant individuals with pregestational diabetes who lived in a food-insecure community were less likely to enter pregnancy with glycemic control, but were more likely to have a reduction in A1c and achieve similar A1c status compared to those who lived in a community without food insecurity. Whether interventions that address food insecurity improve glycemic control and consequent perinatal outcomes remains to be studied.

Social Determinants of Health in the Lives of Urban-Dwelling, Pregnant Puerto Rican Women and Families: Nursing Implications From a Secondary Narrative Analysis

Urban-dwelling childbearing Puerto Rican women and families on the U.S. mainland face a myriad of social determinants that affect pregnancy and overall health outcomes. Historically, Puerto Ricans have poorest pregnancy outcomes of all Hispanic women. Acknowledgment of the cyclic, structural barriers faced by this patient population is essential to providing wholistic care. Here, we discuss family nursing implications derived from narrative analysis of a parent study that investigated ecological systems affecting 21 pregnant Puerto Rican women residing in an impoverished and crime-ridden neighborhood in Philadelphia. Content analysis of interviews revealed interwoven social determinants of health embedded in participant narratives. Furthermore, we present case vignettes based on integration of participant interviews that encapsulate the everyday experiences of these women and their families and provide clinicians with guidance and strategies for interacting with and advocating for this population.

The National Clinical Care Commission Report to Congress: Leveraging Federal Policies and Programs for Population-Level Diabetes Prevention and Control: Recommendations From the National Clinical Care Commission

The etiology of type 2 diabetes is rooted in a myriad of factors and exposures at individual, community, and societal levels, many of which also affect the control of type 1 and type 2 diabetes. Not only do such factors impact risk and treatment at the time of diagnosis but they also can accumulate biologically from preconception, in utero, and across the life course. These factors include inadequate nutritional quality, poor access to physical activity resources, chronic stress (e.g., adverse childhood experiences, racism, and poverty), and exposures to environmental toxins. The National Clinical Care Commission (NCCC) concluded that the diabetes epidemic cannot be treated solely as a biomedical problem but must also be treated as a societal problem that requires an all-of-government approach. The NCCC determined that it is critical to design, leverage, and coordinate federal policies and programs to foster social and environmental conditions that facilitate the prevention and treatment of diabetes. This article reviews the rationale, scientific evidence base, and content of the NCCC's population-wide recommendations that address food systems; consumption of water over sugar-sweetened beverages; food and beverage labeling; marketing and advertising; workplace, ambient, and built environments; and research. Recommendations relate to specific federal policies, programs, agencies, and departments, including the U.S. Department of Agriculture, the Food and Drug Administration, the Federal Trade Commission, the Department of Housing and Urban Development, the Environmental Protection Agency, and others. These population-level recommendations are transformative. By recommending health-in-all-policies and an equity-based approach to governance, the NCCC Report to Congress has the potential to contribute to meaningful change across the diabetes continuum and beyond. Adopting these recommendations could significantly reduce diabetes incidence, complications, costs, and inequities. Substantial political resolve will be needed to translate recommendations into policy. Engagement by diverse members of the diabetes stakeholder community will be critical to such efforts.

Household Food Insecurity and Fear of Hypoglycemia in Adolescents and Young Adults With Diabetes and Parents of Youth With Diabetes

OBJECTIVE

To evaluate the relation between household food insecurity (HFI) and fear of hypoglycemia among young adults with type 1 and type 2 diabetes and adolescents with type 1 diabetes and their parents.

RESEARCH DESIGN AND METHODS

We analyzed cross-sectional data of 1,676 young adults with youth-onset diabetes (84% type 1, 16% type 2) and 568 adolescents (<18 years old; mean age 15.1 years) with type 1 diabetes from the SEARCH for Diabetes in Youth study. Adult participants and parents of adolescent participants completed the U.S. Household Food Security Survey Module. Adults, adolescents, and parents of adolescents completed the Hypoglycemia Fear Survey, where answers range from 1 to 4. The outcomes were mean score for fear of hypoglycemia and the behavior and worry subscale scores. Linear regression models identified associations between HFI and fear of hypoglycemia scores.

RESULTS

Adults with type 1 diabetes experiencing HFI had higher fear of hypoglycemia scores (0.22 units higher for behavior, 0.55 units for worry, 0.40 units for total; all P < 0.0001) than those without HFI. No differences by HFI status were found for adolescents with type 1 diabetes. Parents of adolescents reporting HFI had a 0.18 unit higher worry score than those not reporting HFI (P < 0.05). Adults with type 2 diabetes experiencing HFI had higher fear of hypoglycemia scores (0.19 units higher for behavior, 0.35 units for worry, 0.28 units for total; all P < 0.05) than those in food secure households.

CONCLUSIONS

Screening for HFI and fear of hypoglycemia among people with diabetes can help providers tailor diabetes education for those who have HFI and therefore fear hypoglycemia.

Supermarket Proximity and Risk of Hypertension, Diabetes, and CKD: A Retrospective Cohort Study

RATIONALE & OBJECTIVE

Living in environments with low access to food may increase the risk of chronic diseases. We investigated the association of household distance to the nearest supermarket (as a measure of food access) with the incidence of hypertension, diabetes, and chronic kidney disease (CKD) in a metropolitan area of the United States.

STUDY DESIGN

Retrospective cohort study.

SETTING & PARTICIPANTS

777,994 individuals without hypertension, diabetes, or CKD at baseline within the HealthLNK Data Repository, which contains electronic health records from 7 health care institutions in Chicago, Illinois.

EXPOSURE

Zip code-level average distance between households and nearest supermarket.

OUTCOME

Incidence of hypertension, diabetes, and CKD based on presence of ICD-9 code and/or blood pressure≥140/90mm Hg, hemoglobin A1c≥6.5%, and eGFR<60mL/min/1.73m², respectively.

ANALYTICAL APPROACH

Average distance to nearest supermarket was aggregated from street-level metrics for 56 Chicagoland zip codes. The cumulative incidence of hypertension, diabetes, and CKD from 2007-2012 was calculated for each zip code in patients free of these diseases in 2006. Spatial analysis of food access and disease incidence was performed using bivariate local indicator of spatial association (BiLISA) maps and bivariate local Moran I statistics. The relationship between supermarket access and outcomes was analyzed using logistic regression.

RESULTS

Of 777,994 participants, 408,608 developed hypertension, 51,380 developed diabetes, and 56,365 developed CKD. There was significant spatial overlap between average distance to supermarket and incidence of hypertension and diabetes but not CKD. Zip codes with large average supermarket distances and high incidence of hypertension and diabetes were clustered in southern and western neighborhoods. Models adjusted only for neighborhood factors (zip code-level racial composition, access to vehicles, median income) revealed significant associations between zip code-level average distance to supermarket and chronic disease incidence. Relative to tertile 1 (shortest distance), ORs in tertiles 2 and 3, respectively, were 1.27 (95% CI, 1.23-1.30) and 1.38 (95% CI, 1.33-1.43) for diabetes, 1.03 (95% CI, 1.02-1.05) and 1.04 (95% CI, 1.02-1.06) for hypertension, and 1.18 (95% CI, 1.15-1.21) and 1.33 (95% CI, 1.29-1.37) for CKD. Models adjusted for demographic factors and health insurance showed significant and positive association with greater odds of incident diabetes (tertile 2: 1.29 [95% CI, 1.26-1.33]; tertile 3: 1.35 [95% CI, 1.31-1.39]) but lesser odds of hypertension (tertile 2: 0.95 [95% CI, 0.94-0.97]; tertile 3: 0.91 [95% CI, 0.89-0.92]) and CKD (tertile 2: 0.80 [95% CI, 0.78-0.82]; tertile 3: 0.73 [95% CI, 0.72-0.76]). After adjusting for both neighborhood and individual covariates, supermarket distance remained significantly associated with greater odds of diabetes and lesser odds of hypertension, but there was no significant association with CKD.

LIMITATIONS

Unmeasured neighborhood and social confounding variables, zip code-level analysis, and limited individual-level information.

CONCLUSIONS

There are significant disparities in supermarket proximity and incidence of hypertension, diabetes, and CKD in Chicago, Illinois. The relationship between supermarket access and chronic disease is largely explained by individual- and neighborhood-level factors.

The changing food environment and neighborhood prevalence of type 2 diabetes

In this ecological study, we used longitudinal data to assess if changes in neighborhood food environments were associated with type 2 diabetes mellitus (T2DM) prevalence, controlling for a host of neighborhood characteristics and spatial error correlation. We found that the population-adjusted prevalence of fast-food and pizza restaurants, grocery stores, and full-service restaurants along with changes in their numbers from 1990 to 2010 were associated with 2015 T2DM prevalence. The results suggested that neighborhoods where fast-food restaurants have increased and neighborhoods where full-service restaurants have decreased over time may be especially important targets for educational campaigns or other public health-related T2DM interventions.

1. Improving Care and Promoting Health in Populations: Standards of Care in Diabetes-2023

The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Relationship between food insecurity and housing instability on quality of care and quality of life in adults with diabetes

OBJECTIVE

Examine the relationship between food and housing insecurities, quality of care and quality of life in adults with diabetes using a nationally representative data source.

METHODS

Data from 39,604 adults with diabetes who indicated if they experienced food and/or housing insecurity in the Behavioral Risk Factor Surveillance System (2014, 2015, 2017) was analyzed. Outcomes included quality of care (HbA1c test, eye exam, diabetes education, foot check) and quality of life (general health status, poor physical and mental health days, poor overall health days). Logistic models were run for each quality of care measure and linear models were run for each quality of life measure adjusting for socio-demographics, insurance status, and comorbidity count.

RESULTS

35.6% of adults with diabetes reported housing insecurity, 31.8% reported food insecurity, and 23.4% reported both. After adjustment, food and housing insecurity was significantly associated with lower odds of having an eye exam (housing:0.73, 95%CI:0.63,0.85; food:0.78, 95%CI:0.67,0.92; both:0.69, 95%CI:0.59,0.82), worse general health status (housing:-0.06 95%CI:-0.11,-0.01; food:-0.16, 95%CI:-0.21,-0.10; both:-0.14, 95%CI:-0.20,-0.09), and an increased number of poor mental health days (housing:1.73, 95%CI:0.83,2.63; food:2.08, 95%CI:1.16,3.00; both:1.97, 95%CI:1.05,2.90). Food insecurity was also associated with lower odds of receiving diabetes education (0.86, 95%CI:0.74,0.99) and an increased number of poor physical health days (0.95, 95%CI:0.14,1.76).

CONCLUSION

Changes to our healthcare delivery system are critical to improving standards of care and quality of life in all populations and may require a shift towards consideration of overlapping social risk factors rather than the siloed approach currently used.