From food deserts to nutritional equity: exposing socioeconomic drivers of hypertension

Abstract This study investigates the associations between social determinants of health (SDOH) and hypertension prevalence across Wisconsin communities, with particular attention to food environments, economic factors, and transportation patterns. Using data from the 2019–2020 Wisconsin State Inpatient Database (387, 047 patients) and the 2020 AHRQ SDOH database, we employed spatial analysis and logistic regression models to examine relationships between hypertension prevalence and neighbourhood characteristics across 597 ZIP codes. Lower-income areas exhibited significantly higher hypertension prevalence (EE = 1. 233, 95% CI: 1. 128–1. 347 for incomes under 14, 999), neighbourhoods with greater food resource density showed protective associations (EE = 0. 549, 95% CI: 0. 474–0. 636 for supermarket access). Active transportation patterns were associated with lower hypertension rates (EE = 0. 879, 95% CI: 0. 829–0. 933 for walking). We observed a ‘Hispanic paradox’ in Milwaukee County, where Hispanic populations demonstrated lower hypertension prevalence despite socioeconomic disadvantages, whereas African American populations with similar disadvantages exhibited higher prevalence. Our proposed ‘Food Environment Synergy Model’ helps frame these findings by conceptualising food environments through three interacting dimensions: physical access, economic accessibility, and cultural dietary patterns. This integrated approach highlights how these dimensions collectively relate to unique risk and resilience profiles within communities, challenging conventional binary classifications of ‘food deserts’ versus ‘food secure’ areas. These findings indicate that addressing food access disparities, promoting walkable neighbourhoods, and preserving beneficial cultural dietary traditions may be related to lower hypertension prevalence and advance health equity in diverse communities. However, the analysis is cross-sectional, causality cannot be inferred; further longitudinal studies are needed to establish causal relationships.