PLoS ONE · 2020 · 42 citations · 37 references
Public HealthCommunity HealthInfectious DiseasesAdolescent HealthEpidemiologyInfectious Disease EpidemiologyHiv EpidemiologySexual HealthSexually Transmitted Infection EpidemiologySexually Transmitted InfectionsAdolescent Sexually Transmitted InfectionsAdolescent Sti EpidemiologyFood Insecurity DeterminantsHiv PrevalenceStructural Determinants Of RiskSystem-level DeterminantsVulnerabilityYoung Women
BACKGROUND: Adolescent girls and young women (AGYW) aged 15-24 years have among the highest risk for HIV and other sexually transmitted infections (STI) across sub-Saharan Africa. A latent class analysis (LCA) was conducted to identify intersecting social- and structural-level determinants of HIV/STI acquisition among AGYW in Ethiopia. METHODS: AGYW were recruited from venues using time-location sampling, completing an interviewer-administered behavioral survey and biological testing for HIV, syphilis, and chlamydia. LCA was used to identify distinct groups, defined by social- and structural-level determinants of HIV/STI risk, among AGYW. Prevalence ratios (PR) and 95% confidence intervals (CI) compared differences in HIV/STI prevalence by group. RESULTS: A total of 1,501 AGYW were enrolled across Addis Ababa (March-May 2018) and Gambella (June-July 2019). We identified three patterns of vulnerability defined by schooling status, migration history, food insecurity, orphan status, social support, and employment. We labeled these groups as "highly vulnerable" (representing ~21% of the population), "stable, out-of-school, migrated" (~42%), and "stable, in-school, never migrated" (~37%). STI prevalence was nearly two-fold higher among AGYW in the "highly vulnerable" group compared to AGYW in the "stable, in-school, never migrated" group (PR 1.93; 95% CI 1.33, 2.80). CONCLUSIONS: Characterizing patterns of vulnerability among AGYW that reflect higher-level social and structural factors can help facilitate early identification of AGYW at the highest risk of HIV/STI acquisition, thus differentiating groups of AGYW who may most benefit from targeted HIV prevention interventions during adolescence and early adulthood.
37
Paul A. Harris, Robert Taylor, Robert J. Thielke et al. · Journal of Biomedical Informatics · 2008 · 51.7K citations · Full text
Cathy D. Sherbourne, Anita L. Stewart · Social Science & Medicine · 1991 · 6.6K citations
Causal Diagrams for Epidemiologic Research
Sander Greenland, Judea Pearl, James M. Robins · Epidemiology · 1999 · 3.7K citations
Air Pollution and Hospital Admissions for Heart Disease in Eight U.S. Counties
Epidemiology · 1999 · 3.1K citations
Maternal Pesticide Exposure from Multiple Sources and Selected Congenital Anomalies
Gary M. Shaw, Cathy R. Wasserman, Cynthia D. O’Malley et al. · Epidemiology · 1999 · 1.8K citations