Unknown

Dataset Information

0

The Disproportionate Burden of the COVID-19 Pandemic Among Pregnant Black Women.


ABSTRACT: The COVID-19 pandemic has disproportionately impacted the well-being of vulnerable populations in the US, including Black people. The impact on pregnant women is of special concern for the intrauterine and post-natal development of their offspring. We evaluated in an online survey a sample of 913 pregnant women, 216 Black, 571 White, 126 Other, during a 2-week stay-at-home mandate in the Philadelphia region. We applied logistic regression models and analysis of covariance to examine general and pregnancy-specific worries and negative consequences arising from the COVID-19 pandemic, symptoms of anxiety and depression, and resilience. Black pregnant women reported greater likelihood of having their employment negatively impacted, more concerns about a lasting economic burden, and more worries about their prenatal care, birth experience, and post-natal needs. In the full sample, 11.1% of women met screening criteria for anxiety and 9.9% met criteria for depression. Black women were more likely to meet criteria for depression than White women, but this difference was not significant accounting for covariates. Resilience factors including self-reliance and emotion regulation were higher in Black women. Racial disparities related to COVID-19 in pregnant women can advance the understanding of pregnancy related stressors and improve early identification of mental health needs.

SUBMITTER: Gur RE 

PROVIDER: S-EPMC7513921 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

altmetric image

Publications


The COVID-19 pandemic has disproportionately impacted the well-being of vulnerable populations in the US, including Black people. The impact on pregnant women is of special concern for the intrauterine and post-natal development of their offspring. We evaluated in an online survey a sample of 913 pregnant women, 216 Black, 571 White, 126 Other, during a 2-week stay-at-home mandate in the Philadelphia region. We applied logistic regression models and analysis of covariance to examine general and  ...[more]

Similar Datasets

| S-EPMC7825911 | biostudies-literature
| S-EPMC7691116 | biostudies-literature
| S-EPMC7657008 | biostudies-literature
| S-EPMC8580321 | biostudies-literature
| S-EPMC8282770 | biostudies-literature
| S-EPMC8526303 | biostudies-literature
| S-EPMC9329695 | biostudies-literature
| S-EPMC7938285 | biostudies-literature
| S-EPMC7904453 | biostudies-literature