Search

BackgroundThe relationship between asthma and coronavirus disease 2019 (COVID-19) risk is not clear and may be influenced by level of airway obstruction, asthma medication and known COVID-19 risk factors. We aimed to investigate COVID-19 risk in people with asthma.MethodsWe used UK Biobank data from all participants tested for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (n=107 412; 17 979 test positive). Questions at baseline defined ever asthma and asthma medications. Baseline forced expiratory volume in 1 s (FEV1) was categorised into quartiles. Logistic regression modelled relationships between asthma, and asthma categories (age at onset, medications, FEV1 quartiles), and risk of SARS-CoV-2 positive test. We investigated modification by sex, ethnic group, smoking and body mass index.ResultsThere was a reduced risk of a positive test associated with early-onset asthma (ConclusionAmongst male, nonsmoking, overweight/obese and non-Black participants, having early-onset asthma was associated with lower risk of a SARS-CoV-2 positive test. We found no evidence of a protective effect from asthma medication. Individuals with early-onset asthma of normal weight and with better lung function may have lifestyle differences placing them at higher risk. Further research is needed to elucidate the contribution of asthma pathophysiology and different health-related behaviour, across population groups, to the observed risks.

How sensitive is pronoun processing to expectancies based on real-world knowledge and language usage? The current study links research on the integration of gender stereotypes and number-mismatch to explore this question. It focuses on the use of them to refer to antecedents of different levels of gender-expectancy (low– cyclist, high– mechanic, known– spokeswoman). In a rating task, them is considered increasingly unnatural with greater gender-expectancy. However, participants might not be able to differentiate high-expectancy and gender-known antecedents online because they initially search for plural antecedents (e.g., Sanford & Filik), and they make all-or-nothing gender inferences. An eye-tracking study reveals early differences in the processing of them with antecedents of high gender-expectancy compared with gender-known antecedents. This suggests that participants have rapid access to the expected gender of the antecedent and the level of that expectancy.