P48 Risk of COVID-19 infection among men and women during the lockdown of spring 2020 in France

• DOI: 10.1136/jech-2021-ssmabstracts.136
• Publication Date: 2021-09-05T00:30:27Z
• Authors: Lola Neufcourt; Camille Joannès; Marine Maurel; Niamh M Redmond; Cyrille Delpierre; Michelle Kelly-Ir...
• Keywords: Overcrowding; Pandemic

<h3>Background</h3> In the context of Covid-19 pandemic, several factors such as age, chronic disease or obesity have been associated with adverse outcomes and mortality from Covid-19. However, social distribution infection among men women was largely neglected in France, mainly due to a lack data. The aim this study is describe analyse risk relation sex, influence other factors, specifically occupation, association. <h3>Methods</h3> We used data citizen science initiative 'Baromètre Covid-19'. Each week, an internet survey administered sample 5,000 people representative French mainland population aged 18 over, using quota method. A total 25,001 participants were interviewed between 7 April 11 May 2020. multivariable nested logistic regression modelling relationship occupation infection. Confounders included region residence, density, whether you worked outside home during lockdown, house overcrowding, comorbidities body mass index. <h3>Results</h3> Women reported medical diagnosis more often than (4% vs. 3.2%). model adjusted for confounders, 23% likely report (OR=1.23 [95%-CI=1.06–1.42]). Controlling sex socioeconomic variables (occupation), reversed (OR=0.84 [95%-CI=0.59–1.19]). While most men, executives, less infection, association not observed amongst women. <h3>Conclusion</h3> Occupation found suggesting gender effect. differences require exploration regard factors. roles are non-random virus, potentially reflecting structural societal inequalities.