ABSTRACT. Annually 3.8 million women give birth in the United States (US). Many postpartum mothers experience an array of postpartum symptoms, such as sleep disturbance and postpartum depression, which have been linked to postpartum weight retention and long-term weight gain, increasing the cardiovascular risks over the life course. Thus, postpartum symptoms and their effects impact mothers’ overall health and quality of life. Postpartum symptoms often co-occur and are correlated to each other, which is referred to as symptom clusters. Compared to an individually manifested symptom, symptom clusters are more difficult to manage and contribute to worse health outcomes. Previous research has focused on either individual symptom severity or occurrence, which limits our understanding of how postpartum symptom clusters manifest and impact health. In addition, a lack of racial-ethnic diversity in prior research creates a critical gap in understanding the racial disparities in US maternal health. This study will use data from a federally-funded study, Community Child Health Network, and will include 940 Black and 408 Hispanic mothers (76% of the sample). The aims are to: Aim 1. Identify subgroups of mothers with different symptom profiles at 6 months postpartum using latent profile analysis. This approach will allow identifying subgroups of mothers who share similar symptom severity experiences (profile) and those who are at-risk for worse symptom experiences so that personalized interventions can be developed. Aim 2. Examine individual-, relationship-, and community-level social determinants of health (SDOH) associated with each symptom profile. This will provide important knowledge as to which SDOH influence postpartum symptom profiles. Aim 3. Examine the association between allostatic load and each symptom profile. Allostatic load is a marker of cumulative physiological wear and tear that has a subsequent impact on cardiovascular and metabolic health (e.g., obesity), which contribute to maternal mortality and morbidity. Yet, the relationship between allostatic load and postpartum symptom profiles is unknown. Therefore, examining this relationship will provide novel insights into the health risks of postpartum mothers that will contribute to new targeted intervention strategies. This study aligns well with the National Institute of Nursing Research Strategic Plan to promote personalized symptom management and special interest priority in SDOH. Findings will provide important knowledge that can advance our understanding of postpartum symptom profiles and SDOH to inform future research. Training: The mentorship team with substantive and methodological expertise will support the applicant’s training to successfully conduct the study and prepare for her future steps as a nurse scientist. The following training goals are to gain and expand knowledge in: (1) complex postpartum symptom experiences and SDOH; (2) advanced quantitative methods used to character...