Cardiovascular Health, Adiposity, and Food Insecurity in an Underserved Population

Trends and disparities in prevalence of cardiometabolic diseases by food security status in the United States

BACKGROUND

Previous studies have demonstrated the association between food security and cardiometabolic diseases (CMDs), yet none have investigated trends in prevalence of CMDs by food security status in the United States (US).

METHODS

Serial cross-sectional analysis of the US nationally representative data from National Health and Nutrition Examination Survey (1999-2018) was conducted among adults aged 20 years or older. Food security status was defined by the US Household Food Security Survey Module (full, marginal, low, and very low food security). We estimated the age-adjusted prevalence of CMDs including obesity, hypertension, diabetes, and coronary heart disease by food security status. Racial and ethnic disparities in age-adjusted prevalence of CMDs by food security status were also assessed.

RESULTS

A total of 49,738 participants were included in this analysis (weighted mean age 47.3 years; 51.3% women). From 1999 to 2018, the age-adjusted prevalence of CMDs was lower in full food secure group as compared with other groups. For example, trends in hypertension decreased from 49.7% (47.5-51.8%) to 45.9% (43.8-48.0%) (P-trend = 0.002) among the full and from 54.2% (49.9-58.5%) to 49.7% (46.8-52.6%) (P-trend = 0.02) among the marginal but remained stable among the low at 49.7% (47.9-51.6%) and among the very low at 51.1% (48.9-53.3%) (P-interaction = 0.02). Prevalence of diabetes increased from 8.85% (8.15-9.60%) to 12.2% (11.1-13.5%) among the full (P-trend < 0.001), from 16.5% (13.2-20.4%) to 20.9% (18.6-23.5%) (P-trend = 0.045) among the marginal and from 14.6% (11.1-19.0%) to 20.9% (18.8-23.3%) (P-trend = 0.001) among the low but remained stable at 18.8% (17.0-20.9) among the very low (P-trend = 0.35) (P-interaction = 0.03). Racial and ethnic differences in prevalence of CMD by food security status were observed. For example, among individuals with full food secure status, the prevalence of diabetes was 9.08% (95% CI, 8.60-9.59%) for non-Hispanic whites, 17.3% (95% CI, 16.4-18.2%) for non-Hispanic blacks, 16.1% (95% CI, 15.0-17.4%) for Hispanics and 14.9% (95% CI, 13.3-16.7%) for others.

CONCLUSIONS AND RELEVANCE

Prevalence of CMDs was greatest among those experiencing food insecurity, and food insecurity disproportionately affected racial/ethnic minorities. Disparities in CMD prevalence by food security status persisted or worsened, especially among racial/ethnic minorities.

Dietary intake during a pragmatic cluster-randomized weight loss trial in an underserved population in primary care

BACKGROUND

Currently there are limited data as to whether dietary intake can be improved during pragmatic weight loss interventions in primary care in underserved individuals.

METHODS

Patients with obesity were recruited into the PROPEL trial, which randomized 18 clinics to either an intensive lifestyle intervention (ILI) or usual care (UC). At baseline and months 6, 12, and 24, fruit and vegetable (F/V) intake and fat intake was determined. Outcomes were analyzed by repeated-measures linear mixed-effects multilevel models and regression models, which included random cluster (clinic) effects. Secondary analyses examined the effects of race, sex, age, and food security status.

RESULTS

A total of 803 patients were recruited. 84.4% were female, 67.2% African American, 26.1% received Medicaid, and 65.5% made less than $40,000. No differences in F/V intake were seen between the ILI and UC groups at months 6, 12, or 24. The ILI group reduced percent fat at months 6, 12, and 24 compared to UC. Change in F/V intake was negatively correlated with weight change at month 6 whereas change in fat intake was positively associated with weight change at months 6, 12, and 24 for the ILI group.

CONCLUSIONS

The pragmatic weight loss intervention in primary care did not increase F/V intake but did reduce fat intake in an underserved population with obesity. F/V intake was negatively associated with weight loss at month 6 whereas percent fat was positively correlated with weight loss throughout the intervention. Future efforts better targeting both increasing F/V intake and reducing fat intake may promote greater weight loss in similar populations.

TRIAL REGISTRATION

NCT Registration: NCT02561221.

Food insecurity and risk of cholera: A cross-sectional study and exploratory analysis of potential mediators

BACKGROUND

Food insecurity has been independently associated with developing cholera and there is an inverse relationship between national food security and annual cholera incidence. However, the factors that mediate the risk of cholera among food insecure households remain largely unexplored.

METHODOLOGY AND PRINCIPAL FINDINGS

In a cross-sectional survey of rural households in Haiti, we explored the role of food behaviors (i.e., dietary choices and food-handling practices) as mediators of cholera risk among food-insecure families. We generated a series of multivariable regression models to test hypothesized associations between the severity of food insecurity (measured by the Household Hunger Scale), hygiene and food behaviors, and history of severe, medically-attended cholera. Moderate household hunger (Adjusted Odds Ratio [AOR] 1.47, 95% Confidence Interval (CI) 1.05-2.04; p = 0.021) and severe hunger (AOR 2.45, 95% CI 1.45-4.15; p = 0.001) were positively associated with a history of severe, medically-attended cholera compared with little to no household hunger. Household hunger was positively associated with three behaviors: antacid use, consumption of leftover non-reheated food, and eating food and beverages prepared outside of the home (i.e., at a restaurant or from a vendor). Consumption of outside food items and antacid use were positively associated with a history of cholera.

CONCLUSION

Our findings suggest that food behaviors may mediate the association between food insecurity and cholera and contribute to an understanding of how interventions could be designed to target food insecurity as part of cholera prevention and control.

Addressing non-medical health-related social needs through a community-based lifestyle intervention during the COVID-19 pandemic: The Black Impact program

BACKGROUND

Non-medical health-related social needs (social needs) are major contributors to worse health outcomes and may have an adverse impact on cardiovascular risk factors and cardiovascular disease. The present study evaluated the effect of a closed-loop community-based pathway in reducing social needs among Black men in a lifestyle change program.

METHODS

Black men (n = 70) from a large Midwestern city participated in Black Impact, a 24-week community-based team lifestyle change single-arm pilot trial adapted from the Diabetes Prevention Program and American Heart Association's (AHA) Check, Change, Control Blood Pressure Self-Management Program, which incorporates AHA's Life's Simple 7 (LS7) framework. Participants were screened using the Centers for Medicare and Medicaid Services (CMS) Accountable Health Communities Health-Related Social Needs Screening Tool. Participants with affirmative responses were referred to a community hub pathway to address social needs. The primary outcome for this analysis is change in social needs based on the CMS social needs survey at 12 and 24 weeks using mixed effect logistic regressions with random intercepts for each participant. Change in a LS7 score (range 0-14) from baseline to 12 and 24 weeks was evaluated using a linear mixed-effects model stratified by baseline social needs.

RESULTS

Among 70 participants, the mean age of participants was 52 ±10.5 years. The men were sociodemographically diverse, with annual income ranging from <$20,000 (6%) to ≥$75,000 (23%). Forty-three percent had a college degree or higher level of education, 73% had private insurance, and 84% were employed. At baseline 57% of participants had at least one social need. Over 12 and 24 weeks, this was reduced to 37% (OR 0.33, 95%CI: 0.13, 0.85) and 44% (OR 0.50, 95%CI: 0.21, 1.16), respectively. There was no association of baseline social needs status with baseline LS7 score, and LS7 score improved over 12 and 24 weeks among men with and without social needs, with no evidence of a differential effect.

CONCLUSIONS

The Black Impact lifestyle change single-arm pilot program showed that a referral to a closed-loop community-based hub reduced social needs in Black men. We found no association of social needs with baseline or change in LS7 scores. Further evaluation of community-based strategies to advance the attainment of LS7 and address social needs among Black men in larger trials is warranted.

Food insecurity and physical functioning in Boston area Puerto Rican older adults

Objective:

Prior studies have found evidence of a relationship between food insecurity and functional limitations among older populations in the USA.

Design:

This is a longitudinal investigation of food security in relation to functional limitations, assessed as Activities of Daily Living (ADL) and Instrumental Activities of Daily Living (IADL) scores.

Setting:

The Greater Boston, MA area.

Participants:

1461 Boston Puerto Rican Health study participants, predominantly (70·5 %) female and aged 57·1 years (sd ± 7·6) at baseline followed for 6·2 (sd ± 0·98) years.

Results:

In cross-sectional analysis at baseline, participants reporting severe food insecurity had greater functional limitations (higher ADL; β = 2·34; 95 % CI (1·48, 3·19)) and higher IADL (β = 1·17, 95 % CI (0·68, 1·65)) compared with food secure participants. In longitudinal linear mixed models, severely food insecure participants at baseline had greater functional limitations over 5 years, as assessed by ADL (β = 1·74; 95 % CI (0·95, 2·53); P < 0·001) and IADL (β = 0·93, 95 % CI (0·48, 1·38)) compared with food secure participants. However, baseline food security did not significantly alter the 5-year trajectory in ADL (P-interaction between baseline food security and time for ADL and IADL = 0·41 and 0·47, respectively).

Conclusions:

In this cohort of Boston area Puerto Rican adults, those who are food insecure had consistently higher ADL and IADL scores over time, compared with those who are food secure. Baseline food security did not appear to alter the trajectory in ADL or IADL score.

Food Insecurity and Depression among US Adults: NHANES 2005-2016

A growing body of evidence suggests that food insecurity is associated with adverse mental health outcomes such as depression and anxiety. In this study, the relationship between food insecurity and depression was examined using data from the 2005−2016 National Health and Nutrition Examination Survey (NHANES). Food insecurity was assessed with the 18-item United States Food Security Survey Module with zero affirmative responses indicating high food security, 1 or 2 affirmative responses indicating marginal food security, and ≥3 affirmative responses indicating food insecurity. Depression was assessed with the Patient Health Questionnaire-9 with scores ≥10 indicating depression. Data were analyzed from 28,448 adult participants aged 20 or older. Food insecurity was present in 19.2% of the sample population (n = 5452). Food security status was significantly associated with gender, race, education level, marital status, smoking status, and BMI (Rao-Scott chi-square, p < 0.05). Fully food secure and very low food security adults experienced depression at a rate of 5.1% and 25.8%, respectively (Rao-Scott chi-square, p < 0.0001). Participants with very low food security had a significantly greater odds of depression than food secure adults, OR = 3.50 (95% CI: 2.98, 4.12). These findings suggest that food insecurity is a significant risk factors for depression in US adults over 20 years of age. To address this issue in our citizenry, police initiatives and public health interventions addressing both food access and mental health should be prioritized.

Association of Financial Hardship Because of Medical Bills With Adverse Outcomes Among Families of Children With Congenital Heart Disease

Importance

Congenital heart disease (CHD) carries significant health care costs and out-of-pocket expenses for families. Little is known about how financial hardship because of medical bills affects families' access to essential needs or medical care.

Objective

To assess the national prevalence of financial hardship because of medical bills among families of children with CHD in the US and the association of financial hardship with adverse outcomes.

Design, Setting, and Participants

This cross-sectional survey study used data on children 17 years and younger with self-reported CHD from the National Health Interview Survey of US households between 2011 and 2017. Data were analyzed from March 2019 to April 2020.

Exposures

Financial hardship because of medical bills was classified into 3 categories: no financial hardship, financial hardship but able to pay medical bills, and unable to pay medical bills.

Main Outcomes and Measures

Food insecurity, delayed care because of cost, and cost-related medication nonadherence.

Results

Of 188 families of children with CHD (weighted sample of 151 537 families), 48.9% reported some financial hardship because of medical bills, with 17.0% being unable to pay their medical bills at all. Compared with those who denied financial hardships because of medical bills, families who were unable to pay their medical bills reported significantly higher rates of food insecurity (61.8% [SE, 11.0] vs 13.6% [SE, 4.0]; P < .001) and delays in care because of cost (26.2% [SE, 10.4] vs 4.8% [SE, 2.5]; P = .002). Reported medication adherence did not differ across financial hardship groups. After adjusting for age, race/ethnicity, and maternal education, the differences between the groups persisted. The association of financial hardship with adverse outcomes was stronger among patients with private insurance than those with Medicaid.

Conclusions and Relevance

In this study, financial hardship because of medical bills was common among families of children with CHD and was associated with high rates of food insecurity and delays in care because of cost, suggesting possible avenues for intervention.

An Interprofessional Collaborative Practice Can Reduce Heart Failure Hospital Readmissions and Costs in an Underserved Population

BACKGROUND

Heart failure is a leading cause of hospitalization among adults in the United States. Nurse-led interprofessional clinics have been shown to improve heart failure outcomes in patients with heart failure, specifically decreasing readmission rates. Yet, there is little information on the impact of nurse-led interprofessional collaborative practice within an underserved population with heart failure. Thus, the purpose of this study was to compare the differences in readmission days and cost in patients followed by an interprofessional collaborative practice clinic (both engaged and not engaged) and those who did not establish care with the clinic.

METHODS AND RESULTS

Demographic, clinical, and readmission data were compared among patients with heart failure (59% African American; 72% male; mean age, 49 years) stratified into 3 groups: engaged patients (n = 170), not-engaged patients (n = 103), and not-established patients (n = 111) who had an initial appointment to clinic but did not establish care. Patients with 6 months of data before and after the scheduled clinic visit were included in the study. Differences in baseline characteristics, frequency and length of hospital admissions, and costs were analyzed using analysis of variance, Wilcoxon matched-pairs testing, multivariate analysis of variance, logistic regression, and financial analytics. Overall, the number of inpatient hospital days decreased in the engaged group compared with those in the not-engaged and not-established groups (P < .001). The total cost savings were significantly greater in the engaged group ($1,987,379) (P < .001).

CONCLUSIONS

The findings of this study may steer health care providers to incorporate interprofessional collaborative practice into heart failure management with a particular focus on underserved populations.

The association between neighborhood quality, youth physical fitness, and modifiable cardiovascular disease risk factors

PURPOSE

Striking disparities persist in cardiovascular disease risk factors among minority youth. We examined the association between multiple indicators of neighborhood quality and minority youth fitness.

METHODS

The primary exposure was the Child Opportunity Index (COI), a measure comprised of indicators that facilitate healthy child development. Outcome data were drawn from the 2018-2019 Fit2Play Study (Miami-Dade County, FL). Hotspot analysis evaluated COI spatial clustering. Generalized linear mixed models examined cross-sectional COI-fitness associations.

RESULTS

The sample included 725 youth (53% Black, 43% Hispanic; 5-17 years). Significant neighborhood quality spatial clusters were identified (Gi*_z-score = -4.85 to 5.36). Adjusting for sociodemographics, walkability was associated with lower percentiles in body mass index (BMI) and diastolic blood pressure percentiles (DBP) (β = -5.25, 95% CI: -8.88, -1.62 and β = -3.95, 95% CI: -7.02, -0.89, respectively) for all, lower skinfold thickness (β = -4.83, 95% CI: -9.97, 0.31 and higher sit-ups (β = 1.67, 95% CI: -0.17, 3.50) among girls, and lower systolic blood pressure percentiles (SBP) (β = -4.75, 95% CI: -8.99, -0.52) among boys. Greenspace was associated with higher BMI (β = 6.17, 95% CI: 2.47, 9.87), SBP (β = 3.47, 95% CI: -0.05, 6.99), and DBP (β = 4.11, 95% CI: 1.08, 7.13).

CONCLUSIONS

COI indicators were positively associated with youth fitness. Disparities in youth cardiovascular disease risk may be modifiable through community interventions and built environment initiatives targeting select neighborhood factors.

Using syndemic theory to understand food insecurity and diet-related chronic diseases

Syndemic Theory (ST) provides a framework to examine mutually enhancing diseases/health issues under conditions of social inequality and inequity. ST has been used in multiple disciplines to address interacting infectious diseases, noncommunicable diseases, and mental health conditions. The theory has been critiqued for its inability to measure disease interactions and their individual and combined health outcomes. This article reviews literature that strongly suggests a syndemic between food insecurity (FI) and diet-related chronic diseases (DRCDs), and proposes a model to measure the extent of such interaction. The article seeks to: (1) examine the potential syndemic between FI and DRCDs; (2) illustrate how the incorporation of Life History Theory (LHT), into a syndemic framework can help to highlight critical lifeperiods when FI-DRCD interactions result in adverse health outcomes; (3) discuss the use of mixed methods to identify and measure syndemics to enhance the precision and predictive power of ST; and (4) propose an analytical model for the examination of the FI-DRCD syndemic through the life course. The proposed model is more relevant now given the significant increase in FI globally as a result of the ongoing COVID-19 pandemic. The differential impact that the pandemic appears to have among various age groups and by other demographic factors (e.g., race, gender, income) offers an opportunity to examine the potential FI-DRCD syndemic under the lens of LHT.