ABSTRACT
Similar to obstetric outcomes, rates of SARS-CoV-2 (COVID-19) infection are not homogeneously distributed among populations; risk factors accumulate in discrete locations. This study aimed to investigate the geographical correlation between pre-COVID-19 regional preterm birth (PTB) disparities and subsequent COVID-19 disease burden. We performed a retrospective, ecological cohort study of an upstate New York birth certificate database from 2004 to 2018, merged with publicly available community resource data. COVID-19 rates from 2020 were used to allocate ZIP codes to "low-," "moderate-," and "high-prevalence" groups, defined by median COVID-19 diagnosis rates. COVID-19 cohorts were associated with poverty and educational attainment data from the US Census Bureau. The dataset was analyzed for the primary outcome of PTB using ANOVA. GIS mapping visualized PTB rates and COVID-19 disease rates by ZIP code. Within 38 ZIP codes, 123,909 births were included. The median COVID-19 infection rate was 616.5 (per 100 K). PTB (all) and COVID-19 were positively correlated, with high- prevalence COVID-19 ZIP codes also being the areas with the highest prevalence of PTB (F = 11.06, P = .0002); significance was also reached for PTB < 28 weeks (F = 15.87, P < .0001) and periviable birth (F = 16.28, P < .0001). Odds of PTB < 28 weeks were significantly higher in the "high-prevalence" COVID-19 cohort compared to the "low-prevalence" COVID 19 cohort (OR 3.27 (95% CI 2.42-4.42)). COVID-19 prevalence was directly associated with number of individuals below poverty level and indirectly associated with median household income and educational attainment. GIS mapping demonstrated ZIP code clustering in the urban center with the highest rates of PTB < 28 weeks overlapping with high COVID-19 disease burden. Historical disparities in social determinants of health, exemplified by PTB outcomes, map community distribution of COVID-19 disease burden. These data should inspire socioeconomic policies supporting economic vibrancy to promote optimal health outcomes across all communities.
ABSTRACT
OBJECTIVE: To evaluate how stress related to the coronavirus disease 2019 (COVID-19) pandemic has affected women's menstrual cycles. We hypothesized that women with high levels of COVID-19-related stress would have more menstrual changes compared with those with lower levels of stress. METHODS: Using a cross-sectional study design, we recruited a representative sample of U.S. adult women of reproductive age (18-45 years) using nonhormonal birth control to participate in an online REDCap (Research Electronic Data Capture, Vanderbilt University) survey. COVID-19-related stress was assessed with the PSS-10-C (COVID-19 Pandemic-related Perceived Stress Scale) and dichotomized as low stress (scores lower than 25) and high stress (scores 25 or higher). Self-reported menstrual outcomes were identified as changes in cycle length, duration, or flow and increased frequency of spotting between cycles. We used χ2 and Fisher exact tests to compare differences in outcome between the two stress groups and logistic regression models for effect estimates. RESULTS: A total of 354 women of reproductive age across the United States completed both the menstrual and COVID-19-related stress components of our survey. More than half of these women reported at least one change in their menstrual cycles since the start of the pandemic (n=191), and 10.5% reported high COVID-19-related stress (n=37). Compared with those with low COVID-19-related stress, a greater proportion of women with high COVID-19-related stress reported changes in cycle length (shorter or longer; P=.008), changes in period duration (shorter or longer; P<.001), heavier menstrual flow (P=.035), and increased frequency of spotting between cycles (P=.006) compared with prepandemic times. After adjusting for age, smoking history, obesity, education, and mental health history, high COVID-19-related stress was associated with increased odds of changes in menstrual cycle length (adjusted odds ratio [aOR] 2.32; 95% CI 1.12-4.85), duration (aOR 2.38; 95% CI 1.14-4.98), and spotting (aOR 2.32; 95% CI 1.03-5.22). Our data also demonstrated a nonsignificant trend of heavier menstrual flow among women with high COVID-19-related stress (aOR 1.61; 95% CI 0.77-3.34). CONCLUSION: High COVID-19-related stress is associated with significant changes in menstrual cycle length, alterations in period duration, and increased intermenstrual spotting as compared with before the pandemic. Given that menstrual health is frequently an indicator of women's overall well-being, clinicians, researchers, and public health officials must consider the association between COVID-19-related stress and menstrual disturbances.
ABSTRACT
The coronavirus (COVID-19) pandemic impacted healthcare systems worldwide. In this study, we conducted qualitative interviews with pregnant women in Ghana and the United States (US) to understand their antenatal care (ANC) experience. Adapting to the virtual nature of the pandemic, social media platforms Facebook and WhatsApp were used to recruit, consent, enroll, and interview women. Interviewers used a semi-structured guide with content validated by the US and Ghanaian collaborators. Audio recordings of the interviews were transcribed, coded using Dedoose (v8.0.35, Dedoose) and grounded theory, and analyzed for recurring themes. Between May and July 2020, 32 women (15 Ghanaians, 17 Americans), aged 25-40 years were interviewed. Major themes emerged: (i) apprehension about ANC services; (ii) disruptions to planned healthcare provider use; and (iii) changes in social support. Although the women strove to retain their ANC as planned, the pandemic universally caused several unanticipated changes. Given associations between higher maternal mortality and poor outcomes with inadequate ANC, specific policies and resources for telehealth education and intra- and postpartum support should be implemented to reduce disruptions to ANC imposed by COVID-19.