Syndemics of Sexually Transmitted Infections in a Sample of Racially Diverse Pregnant Young Women

Autor: Ashley V. Hill, Dara D. Mendez, Catherine L. Haggerty, Elizabeth Miller, Natacha M. De Genna
Rok vydání: 2022
Předmět:
Zdroj: Maternal and Child Health Journal
ISSN: 1573-6628
1092-7875
DOI: 10.1007/s10995-021-03335-9
Popis: Introduction Syndemic theory posits that poor health outcomes co-occur and amplify each other in the context of harmful conditions that must be addressed simultaneously to improve health equity. This analysis identifies perinatal syndemic factors and examine how factors are related to STI in a sample of racially diverse young pregnant women. Methods Pregnant participants (n = 61) ages 14–21 from racially diverse backgrounds were recruited from a prenatal clinic for an ongoing longitudinal study between October 2019-February 2020. Participants completed a tablet survey assessing pregnancy intention, psychosocial factors (e.g., depression, stress, partner violence, pregnancy history) and consented to provide access to their medical records for STI and clinical urine samples screened for tobacco and cannabis use. Latent class analysis (LCA) was used to examine probabilities of co-occurring Syndemic indicators. Results Half of the women were Black (52%) and primigravida (54%). Three classes were identified in the LCA, two of them reflecting syndemics related to STI from the medical record. The largest class was half Black (51%), with a high rate of STI (65%), and was characterized by factors including depressive symptoms (93%), stress (64%), and substance use (65% cannabis, 82% tobacco). Additionally, the class with the highest rates of STI (74%) also had higher rates of partner violence (48%), morning sickness (100%), and prenatal cannabis use (63%). Conclusion Findings indicate evidence of a syndemic related to increased STI. A longitudinal evaluation of syndemics in this cohort may inform appropriately tailored intervention strategies to promote perinatal health in racially diverse young pregnant populations.
Databáze: OpenAIRE
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