Assessment of risk for food insecurity among African American urban households: utilizing cumulative risk indices and latent class analysis to examine accumulation of risk factors.

Abstract

African American caregivers in low-income, urban communities have high rates of food insecurity. Unemployment, education, smoking, stress, and depressive symptoms are associated with household food insecurity. A cumulative risk model suggests that accumulation of risk may compound food insecurity risk, and certain risk factors are more likely to co-occur. This study utilizes two approaches to examine food insecurity risk among African American caregivers with an adolescent daughter-a cumulative risk index to examine accumulation of risk and food insecurity risk; latent class analysis (LCA) to determine if certain risk profiles exist and their relation to food insecurity risk. Caregivers completed surveys including demographic, psychosocial, and behavioral questions (to create a cumulative risk index) and a validated 2-item food insecurity screen. LCA was used to identify risk profiles. Logistic regression was used to examine relations between cumulative risk, risk profiles, and food insecurity risk. Each additional cumulative risk index factor was associated with a 54% increase in odds of risk of food insecurity. LCA identified three subgroups: high stress/depression (class #1), low education/low stress and depression (class #2), and low risk overall (class #3). Odds of food insecurity risk were 4.7 times higher for class #1, and 1.5 times higher for class #2 compared with class #3. This study contributes to understanding of how food insecurity risk relates to cumulative risk and risk profiles. Findings can be used to improve food insecurity risk screening in clinical settings, enhancing intervention/referral for food security risk and mental health among African American caregivers and their households.