Background:
Adherence to a heart-healthy diet is foundational for the prevention, management, and treatment of cardiovascular disease (CVD). Despite the fact that adhering to dietary guidelines may be challenging in the context of food insecurity, little is known about the likelihood of food insecurity in persons with CVD.
Hypothesis:
We hypothesized that persons with CVD (hypertension, coronary artery disease, heart failure, or stroke) would have significantly higher odds of food insecurity.
Methods:
This was an analysis of data from the National Health and Nutrition Examination Survey (NHANES), a nationally representative, cross-sectional study of health in the United States. All adults aged 19 years or older with food insecurity data were included across 3 cycles of NHANES (2011-2016). Food insecurity was measured using the 10-item Food Security Scale. CVD diagnosis was measured by self-report. Risk for food insecurity by CVD diagnosis was examined using multivariable logistic regression models, incorporating NHANES sample and person weights, and controlling for common sociodemographic confounders (age, gender, race/ethnicity, education, marital status).
Results:
The sample consisted of 17,175 persons (weighted study
N
=229,247,659). Slightly more than half were male (51.9%), and most were non-Hispanic white (65.1%). Just under half (45.6%) were in early adulthood (19-44 years), 35.3% were in middle adulthood (45-64 years), and 18.6% were in late adulthood (≥65 years). One quarter (25.9%) were food insecure. Consistent with our hypothesis, diagnosis of any CVD (stroke, heart failure, coronary artery disease, or hypertension) was significantly associated with higher likelihood for food insecurity (stroke: OR=2.18; 95% CI 1.83-2.60; p<0.001; heart failure OR=1.94, 95% CI 1.46-2.57, p<0.001; coronary artery disease: OR=1.90, 95% CI 1.49-2.43, p<0.001; and hypertension: OR=1.25, 95% CI 1.10-1.42, p=0.001).
Conclusions:
Diagnoses of hypertension, stroke, coronary artery disease, and heart failure were all significantly associated with higher risk for food insecurity. Given the necessity of dietary modification in CVD, further efforts to study food insecurity in CVD alongside other social determinants of health are urgently needed.
Building a Cardiovascular Disease Prediction Model for Smartwatch Users Using Machine Learning: Based on the Korea National Health and Nutrition Examination Survey
