Exploring the intersection of multiple social determinants of health and disordered eating behaviors in a population-based sample in the United States

Objective: Disordered eating behaviors (DEBs) have long-term, deleterious effects on health and are more prevalent among socially marginalized groups, likely as a result of systemic inequities across social determinants of health (SDoH). This exploratory study aimed to identify subgroups of emerging adults characterized by main and interactive associations between SDoH and two forms of DEB (binge eating, extreme unhealthy weight control behaviors). Method: Participants (n = 1568; age 22.2 ± 2.1 years) from the United States were drawn from the EAT 2010–2018 longitudinal study. Conditional inference tree (CIT) analyses derived main and intersecting SDoH related to DEB across 33 input variables collected during adolescence and emerging adulthood. Results: The binge eating CIT revealed five subgroups (prevalence: 6.3–23.2%) shaped by variables collected during emerging adulthood: appearance-based teasing (p <.001), financial difficulty (p =.003), gender (p <.001), and everyday discrimination (p =.008). The CIT results for extreme unhealthy weight control behaviors derived six subgroups (prevalence: 2.3–45.5%) shaped by weight teasing (p <.001) and gender (p <.001) during emerging adulthood and public assistance (p =.008) and neighborhood safety (p =.007) in adolescence. Discussion: This exploratory study revealed distinct subgroups of emerging adults with varying DEB prevalence, suggesting that variability in DEB prevalence may be partially explained by intersecting SDoH during adolescence and emerging adulthood. Hypothesis-driven research and replication studies are needed to further explore the associations between SDoH and DEB during emerging adulthood. Public Significance Statement: Disordered eating behaviors are common among young people in the United States and have long-term health consequences. This exploratory study identified subgroups of young people, characterized by combinations of social inequities (e.g., financial difficulties, teasing). Results highlight high-risk subgroups of emerging adults that should be examined further in hypothesis-driven research.