Study Description:
This is a cross-sectional population-based survey designed within a syndemic framework to characterize the impacts of the COVID-19 pandemic on women in under-served, under-studied, under-represented, and under-reported (U4) populations. We hypothesize that U4 women are experiencing and will have experienced a worsening of mental, physical, and socio-economic status as a result of the COVID-19 pandemic and that pre-pandemic indicators of U4 status and related exposures will be associated with adverse mental, physical, and SES effects of the COVID-19 pandemic. The study ultimately seeks to collect baseline data for a long-term follow-up study of U4 women, as well as identify high impact targets for public health interventions to build resiliency in U4 communities.
Objectives:
Primary Objectives:
1. Characterize the mental, physical, and socio-economic effects of the COVID-19 pandemic on women in under-served, under-studied, under-represented, and under-reported (U4) populations within a syndemic framework.
2. Determine whether there was a worsening of mental, physical, and socio-economic status before, during, and following the COVID-19 pandemic.
3. Characterize the biological, behavioral, environmental, sociocultural, and structural impacts of the COVID-19 pandemic on reproductive risk factors among U4 women.
Secondary Objectives:
1. Quantify cross-sectional associations between retrospective pre-pandemic indicators of U4 status and related exposures (i.e., urban vs. rural; pre-existing physical and mental health disparities; risk factors for maternal mortality; experiences of racism; social factors, and environmental, occupational, and housing exposures) with adverse mental, physical, and SES effects of the COVID-19 pandemic.
2. Characterize the direct and indirect experiences of U4 women with SARS-CoV-2 infection.
3. Identify opportunities for interventions to address maternal mortality in U4 women in the context of an ongoing global pandemic of COVID-19.
Tertiary/Exploratory Objectives:
1. Assess the association between geospatial indicators of exposure and pandemic impacts, including proximity to point sources of environmental pollution, area-level model and monitor-estimated air pollution concentrations, availability of community amenities, and neighborhood structure.
2. Collect baseline data for a future longitudinal cohort study on long-term health impacts of exposure to SARS-CoV-2 (COVID-19) and pandemic experiences among U4 women, as well as to identify risk and protective factors modifying these impacts for developing appropriate interventions for recovery in this population.
3. Pool data with ongoing COVID-19 observational studies to:
(a) generalize pandemic impacts across multiple U4 populations using pooled meta-analysis; and (b) to understand how U4 status interacts with environmental, health, and social risk factors to produce disparities in pandemic-associated impacts by comparing U4 and non-U4 populations.
4. Understand the distribution and characteristics of exploratory cardiovascular biomarkers among U4 women of reproductive age and their relation to COVID-19 impacts, including SARS-CoV-2 infection and associations with a range of biological, behavioral, environmental, sociocultural, and structural factors impacted by the COVID-19 pandemic that affect pregnancy-related and pregnancy-associated morbidity and mortality.
Endpoints:
Primary. Characterization of mental health, physical health and socioeconomic impacts during and following the pandemic.
Secondary. Primary endpoints plus direct and indirect experiences with SARS-CoV-2 infection.
Tertiary/Exploratory.
1. Geospatial analyses
1. Direct and indirect experiences with SARS-CoV-2 infection described above.
2. Worsening of primary endpoints described above.
2. Longitudinal baseline
1. History of chronic illness
2. Interest in clinical research participation and acceptable methods
3. Biological specimens (i.e., urinary cortisol; blood for SARS-CoV-2 antibody testing, cytokine profiling, reproductive endpoints; and blood and saliva for DNA methylation microarrays, toenail clippings for exposure)
4. Personal exposure (i.e., home dust assays, personal exposure monitoring (wristband), toenail samples).
5. First time point for repeated longitudinal stress and mental health assessments.
3. Meta-analysis
1. Environmental, health, and social risk factors
2. Pandemic-associated impacts
