Foods for Health: An Integrated Social Medical Approach to Food Insecurity Among Patients With Diabetes.
Ontology highlight
ABSTRACT: Purpose
Examine a clinic-based approach to improve food security and glycemic control among patients with diabetes.Design
One-group repeated-measures design.Setting
Federally Qualified Health Centers in a large Midwest city.Sample
Of the 933 patients with diabetes who consented at baseline, 398 (42.66%) returned during the follow-up period for a visit that included Hemoglobin A1c (HbA1c) results.Intervention
Integrated social medicine approach that includes food insecurity screening, nutrition education, and assistance accessing food resources as a standard-of-care practice designed to minimize disruptions in how patients and providers experience medical care.Measures
HbA1c collected as part of a standard blood panel.Analysis
Repeated-measure, mixed-effect linear regression models.Results
There was a decrease in mean HbA1c (Δ = -0.22, P = 0.01) over the study period. The model examining change over time, glycemic control (GC), and food security status (F1, 352 = 5.80, P = 0.02) indicated that among participants with poor GC (33.12%), food secure (FS) participants exhibited significantly greater levels of improvement than food insecure (FI) participants (Δ = -0.55, P = 0.04). Among participants with good GC, changes in HbA1c were not significantly different between FS and FI participants (Δ = 0.23, P = 0.21).Conclusion
Providing nutrition education and food assistance improved HbA1c profiles among FS and FI participants, but FI participants may face social and structural challenges that require additional support from health care teams.
SUBMITTER: Blitstein JL
PROVIDER: S-EPMC8627420 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:To determine whether food insecurity--the inability to reliably afford safe and nutritious food--is associated with poor glycemic control and whether this association is mediated by difficulty following a healthy diet, diabetes self-efficacy, or emotional distress related to diabetes.We used multivariable regression models to examine the association between food insecurity and poor glycemic control using a cross-sectional survey and chart review of 711 patients with diabetes in safety net health clinics. We then examined whether difficulty following a diabetic diet, self-efficacy, or emotional distress related to diabetes mediated the relationship between food insecurity and glycemic control.The food insecurity prevalence in our sample was 46%. Food-insecure participants were significantly more likely than food-secure participants to have poor glycemic control, as defined by hemoglobin A(1c) ?8.5% (42 vs. 33%; adjusted odds ratio 1.48 [95% CI 1.07-2.04]). Food-insecure participants were more likely to report difficulty affording a diabetic diet (64 vs. 49%, P < 0.001). They also reported lower diabetes-specific self-efficacy (P < 0.001) and higher emotional distress related to diabetes (P < 0.001). Difficulty following a healthy diet and emotional distress partially mediated the association between food insecurity and glycemic control.Food insecurity is an independent risk factor for poor glycemic control in the safety net setting. This risk may be partially attributable to increased difficulty following a diabetes-appropriate diet and increased emotional distress regarding capacity for successful diabetes self-management. Screening patients with diabetes for food insecurity may be appropriate, particularly in the safety net setting.
| S-EPMC3263865 | biostudies-other
Project description:OBJECTIVE:Both food insecurity (limited food access owing to cost) and living in areas with low physical access to nutritious foods are public health concerns, but their relative contribution to diabetes management is poorly understood. RESEARCH DESIGN AND METHODS:This was a prospective cohort study. A random sample of patients with diabetes in a primary care network completed food insecurity assessment in 2013. Low physical food access at the census tract level was defined as no supermarket within 1 mile in urban areas and 10 miles in rural areas. HbA1c measurements were obtained from electronic health records through November 2016. The relationship among food insecurity, low physical food access, and glycemic control (as defined by HbA1c) was analyzed using hierarchical linear mixed models. RESULTS:Three hundred and ninety-one participants were followed for a mean of 37 months. Twenty percent of respondents reported food insecurity, and 31% resided in an area of low physical food access. In adjusted models, food insecurity was associated with higher HbA1c (difference of 0.6% [6.6 mmol/mol], 95% CI 0.4-0.8 [4.4-8.7], P < 0.0001), which did not improve over time (P = 0.50). Living in an area with low physical food access was not associated with a difference in HbA1c (difference 0.2% [2.2 mmol/mol], 95% CI -0.2 to 0.5 [-2.2 to 5.6], P = 0.33) or with change over time (P = 0.07). CONCLUSIONS:Food insecurity is associated with higher HbA1c, but living in an area with low physical food access is not. Food insecurity screening and interventions may help improve glycemic control for vulnerable patients.
| S-EPMC5961388 | biostudies-literature
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| S-EPMC8026536 | biostudies-literature
Project description:ObjectiveTo disentangle the relationships among food insecurity, health care utilization, and health care expenditures.Data sources/study settingWe use national data on 13 465 adults (age ≥ 18) from the 2016 Medical Expenditure Panel Survey (MEPS), the first year of the food insecurity measures.Study designWe employ two-stage empirical models (probit for any health care use/expenditure, ordinary least squares, and generalized linear models for amount of utilization/expenditure), controlling for demographics, health insurance, poverty status, chronic conditions, and other predictors.Principal findingsOur results show that the likelihood of any health care expenditure (total, inpatient, emergency department, outpatient, and pharmaceutical) is higher for marginal, low, and very low food secure individuals. Relative to food secure households, very low food secure households are 5.1 percentage points (P < .001) more likely to have any health care expenditure, and have total health care expenditures that are 24.8 percent higher (P = .011). However, once we include chronic conditions in the models (ie, high blood pressure, heart disease, stroke, emphysema, high cholesterol, cancer, diabetes, arthritis, and asthma), these underlying health conditions mitigate the differences in expenditures by food insecurity status (only the likelihood of any having any health care expenditure for very low food secure households remains statistically significant).ConclusionsPolicy makers and government agencies are focused on addressing deficiencies in social determinants of health and the resulting impacts on health status and health care utilization. Our results indicate that chronic conditions are strongly associated with food insecurity and higher health care spending. Efforts to alleviate food insecurity should consider the dual burden of chronic conditions. Finally, future research can address specific mechanisms underlying the relationships between food security, health, and health care.
| S-EPMC7518817 | biostudies-literature
Project description:BackgroundFood insecurity and other social determinants of health are increasingly being measured at routine health care visits. Understanding the needs and behaviors of individuals or families who screen positive for food insecurity may inform the types of resources they need. The goal of this research was to identify modifiable characteristics related to endorsement of two food insecurity screener questions to better understand the resources necessary to improve outcomes.MethodsAnalysis was conducted focusing on cross-sectional survey data collected in 2015-2016 from participants (N = 442) living in urban neighborhoods in Ohio with limited access to grocery stores. Food insecurity was assessed by the endorsement of at least one of two items. These were used to categorize participants into two groups: food insecure(N = 252) or food secure (N = 190). Using logistic regression, we estimated the association between several variables and the food insecure classification.ResultsThose that used their own car when shopping for food had lower odds of reporting food insecurity, as did those with affirmative attitudes related to the convenience of shopping for and ease of eating healthy foods. As shopping frequency increased, the odds of food insecurity increased. Food insecurity also increased with experience of a significant life event within the past 12 months. There was an 81% increase in the odds of reporting food insecurity among participants who received Supplemental Nutrition Assistance Program benefits compared to those not receiving Supplemental Nutrition Assistance Program benefits.ConclusionsAlong with referrals to SNAP, clinicians can further address screening-identified food insecurity through provision of transportation supports and linkages to other social services while collaborating on community initiatives to promote convenient and easy access to healthy foods. The needs and behaviors associated with screens indicating food insecurity also have implications for impacting other SDH, and thus, health outcomes.
| S-EPMC8284017 | biostudies-literature
Project description:IntroductionNumerous natural and man-made factors have afflicted Ethiopia, and millions of people have experienced food insecurity. The current cut-points of the WFP food consumption score (FCS) have limitations in measuring the food insecurity level of different feeding patterns due to the diversified culture of the society. The aim of this study is to adapt the WFP food security score cut-points corrected for the different feeding cultures of the society using effect-driven quantile clustering.MethodThe 2012, 2014, and 2016 Ethiopian socio-economic household-based panel data set with a sample size of 3,835 households and 42 variables were used. Longitudinal quantile regression with fixed individual-specific location-shift intercept of the free distribution covariance structure was adopted to identify major indicators that can cluster and level quantiles of the FCS.ResultHousehold food insecurity is reduced through time across the quintiles of food security score distribution, mainly in the upper quantiles. The leveling based on effect-driven quantile clustering brings 35.5 and 49 as the FCS cut-points corrected for cultural diversity. This corrected FCS brings wider interval for food insecure households with the same interval range for vulnerable households, where the WFP FCS cut-points under estimate it by 7 score. Education level, employment, fertilizer usage, farming type, agricultural package, infrastructure-related factors, and environmental factors are found to be the significant contributing factors to food security. On the other hand, the age of the head of the household, dependency ratio, shock, and no irrigation in households make significant contributions to food insecurity. Moreover, households living in rural areas and farming crops on small lands are comparatively vulnerable and food insecure.ConclusionMeasuring food insecurity in Ethiopia using the WFP FCS cut-off points underestimates households' food insecurity levels. Since the WFP FCS cut-points have universality and comparability limitations, there is a need for a universally accepted local threshold, corrected for local factors those resulted in different consumption patterns in the standardization of food security score. Accordingly, the quantile regression approach adjusts the WFP-FCS cut points by adjusting for local situations. Applying WFP cut-points will wrongly assign households on each level, so the proportion of households will be inflated for the security level and underestimated for the insecure level, and the influence of factors can also be wrongly recommended the food security score for the levels. The quantile clustering approach showed that cropping on a small land size would not bring about food security in Ethiopia. This favors the Ethiopian government initiative called integrated farming "ኩታ ገጠም እርሻ" which Ethiopia needs to develop and implement a system that fits and responds to this technology and infrastructure.
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Project description:Purpose: This quality improvement project evaluated implementation of social determinants of health screening and referral for food insecurity. Methods: Four obstetric providers used study-developed resources to screen and refer English-speaking patients (n=14) during clinic visits. Providers and patients completed post-visit questionnaires. Provider feedback informed improvements to the intervention approach for consecutive study shifts. Results: Providers and patients reported high satisfaction with encounters. Referrals were made for four patients. Challenges to implementation included resource organization, time constraints, and integration into clinic workflow. Conclusion: Processes for universal screening and tailored information provision are areas to continue to strengthen for establishing equitable health care.
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Project description:BackgroundFood insecurity, defined as inconsistent food access owing to cost, leads to poor health.ObjectiveTo test whether a medically tailored meal delivery program improved dietary quality in individuals with type 2 diabetes and food insecurity.DesignRandomized cross-over clinical trial.ParticipantsForty-four adults with diabetes, hemoglobin A1c > 8.0%, and food insecurity (defined as at least one positive item on the two-item "Hunger Vital Sign").InterventionIn the Community Servings: Food as Medicine for Diabetes cross-over clinical trial (NCT02426138), conducted from June 2015 to July 2017, we randomly assigned the order of "on-meals" (home delivery of 10 meals/week for 12 weeks delivered by Community Servings, a non-profit organization) and "off-meals" (12 weeks usual care and a Choose MyPlate healthy eating brochure) periods.Main measuresThe primary outcome was Healthy Eating Index 2010 score (HEI), assessed by three 24-h food recalls in both periods. Higher HEI score (range 0-100; clinically significant difference 5) represents better dietary quality. Secondary outcomes included food insecurity and self-reported hypoglycemia.Key resultsMean "on-meal" HEI score was 71.3 (SD 7.5) while mean "off-meal" HEI score was 39.9 (SD 7.8) (difference 31.4 points, p < 0.0001). Participants experienced improvements in almost all sub-categories of HEI score, with increased consumption of vegetables, fruits, and whole grains and decreased solid fats, alcohol, and added sugar consumption. Participants also reported lower food insecurity (42% "on-meal" vs. 62% "off-meal," p = 0.047), less hypoglycemia (47% "on-meal" vs. 64% "off-meal," p = 0.03), and fewer days where mental health interfered with quality of life (5.65 vs. 9.59 days out of 30, p = 0.03).ConclusionsFor food-insecure individuals with diabetes, medically tailored meals improved dietary quality and food insecurity and reduced hypoglycemia. Longer-term studies should evaluate effects on diabetes control (e.g., hemoglobin A1c) and patient-reported outcomes (e.g., well-being).
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Project description:ObjectiveExamine the association between historic residential redlining and present-day racial/ethnic composition of neighborhoods, racial/ethnic differences in social determinant of health domains, and risk of home evictions and food insecurity.Research design and methodsWe examined data on 12,334 (for eviction sample), and 8996 (for food insecurity sample), census tracts in 213 counties across 37 states in the USA with data on exposure to historic redlining. First, we examined relationships between Home Owners' Loan Corporation (HOLC) redlining grades (A="Best", B="Still Desirable", C="Definitely Declining", D="Hazardous") and present-day racial/ethnic composition and racial/ethnic differences in social determinant of health domains of neighborhoods. Second, we examined whether historic redlining is associated with present-day home eviction rates (measured across eviction filings rates, and eviction judgment rates for 12,334 census tracts in 2018) and food insecurity (measured across low supermarket access, low supermarket access and income, low supermarket access and low car ownership for 8996 census tracts in 2019). Multivariable regression models were adjusted for census tract population, urban/rural designation, and county level fixed effects.ResultsRelative to areas with a historic HOLC grading of "A (Best)", areas with a "D (Hazardous)" grading had a 2.59 (95%CI=1.99-3.19; p-value<0.01) higher rate of eviction filings, and a 1.03 (95%CI=0.80-1.27; p-value<0.01) higher rate of eviction judgments. Compared to areas with a historic HOLC grading of "A (Best)", areas rated with a "D (Hazardous)" had a 16.20 (95%CI=15.02-17.79; p-value<0.01) higher rate of food insecurity based on supermarket access and income, and a 6.15 (95%CI =5.53-6.76; p-value<0.01) higher rate of food insecurity based on supermarket access and car ownership.ConclusionsHistoric residential redlining is significantly associated with present-day home evictions and food insecurity, highlighting persistent associations between structural racism and present-day social determinants of health.
| S-EPMC10255945 | biostudies-literature
Project description:Among rural families, rates of both child obesity and household food insecurity (FI) are higher compared to non-rural families. These disparities result from a complex interplay of social and environmental conditions that influence behavior. The Transtheoretical Model suggests individual readiness to change underlies success in modifying obesity-preventing behaviors; however, whether an association between readiness to change obesity-related behaviors and FI status among rural families exists is unknown. We examined the association between readiness to change family-level nutrition and physical activity (PA) behaviors that predict child obesity and family FI status within a sample of rural families to better understand these relationships. Families (n = 144) were recruited from six rural Oregon communities in 2013. Families completed a FI screener and the Family Stage of Change Survey (FSOC), a measure of readiness to change family-level nutrition and PA behaviors associated with obesity. Demographic differences by FI status were explored, and regression was applied to examine relationships between FI and FSOC scores, adjusting for relevant covariates. Among FI families (40.2%), more were non-white (77.8% vs. 22.2%; p = 0.036) and had lower adult education (30.4% vs. 11.8% with > high school degree; p = 0.015) compared to non-FI families. After adjusting for education, race, ethnicity, and eligibility for federal meal programs, readiness to provide opportunities for PA was lower among FI families (p = 0.002). These data highlight a need to further investigate how food insecurity and low readiness to provide PA opportunities, i.e. "physical activity insecurity" may be contributing to the higher obesity rates observed among rural children and families.
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