Sociodemographic characteristics of pregnant women tested positive for COVID‐19 admitted to a referral center in Northern Italy during lockdown period

D'Ambrosi, Francesco; Iurlaro, Enrico; Tassis, Beatrice; Di Maso, Matteo; Erra, Roberta; Cetera, Giulia E.; Cesano, Nicola; Di Martino, Daniela; Ossola, Manuela W.; Ferrazzi, Enrico Maria

INTRODUCTION: We investigated association between sociodemographic characteristics and COVID‐19 disease among pregnant women admitted to our unit, the largest high‐risk maternity unit in the Milan metropolitan area. METHODS: Between March 1, 2020 and April 30, 2020, 896 pregnant women were admitted to our Institution and tested for COVID‐19. We collected information regarding their sociodemographic characteristics. Additional information on geographical area of residence, number of family members, number of family members tested positive for COVID‐19, and clinical data was collected for women tested positive for COVID‐19. Odds ratios (ORs) and 95% confidence intervals (CIs) for the risk of developing COVID‐19 according to sociodemographic characteristics were estimated by unconditional logistic regression models. RESULTS: Among the 896 women enrolled, 50 resulted positive for COVID‐19. Pregnant women aged ≥35 years had a significantly lower risk of developing the infection (crude OR = 0.29; 95% CI:0.16–0.55). Conversely, foreign women (crude OR = 3.32; 95% CI:1.89–5.81), unemployed women (crude OR = 3.09; 95% CI: 1.77–5.40), and women with an unemployed partner (crude OR = 3.16; 95% CI: 1.48–6.79) showed a significantly higher risk of infection. Ethnicity was positively associated with the risk of developing COVID‐19 (mutually adjusted OR = 2.15; 95% CI:1.12–4.11) in the multivariate analysis. Foreign women with COVID‐19 were more likely to have a lower education level (p < 0.01), to be unemployed (p < 0.01), and to live in larger families (p < 0.01) compared to Italian pregnant women. CONCLUSIONS: The socioeconomic conditions described are characteristic of immigration patterns in our metropolitan area. These factors may increase the risk of viral transmission, reducing the effectiveness of lockdown and social distancing.