This blog is based on our comment with @dylankneale.bsky.social in @sllshome.bsky.social journal: doi.org/10.1332/1757...

We used brilliant data from @clscohorts.bsky.social, @usociety.bsky.social, and @elsa-study.bsky.social which allowed us to look in detail at asthma in LGBTQ+ people in the UK

The open-access article can be found here: doi.org/10.1016/j.pu...

Lastly, we looked at the role of smoking and found that it played only a small role (despite higher LGBTQ+ smoking rates). Further work looking at stress, discrimination, and environmental factors could be important!

Lung function was also poorer in LGBTQ+ respondents - this study is one of the first to look at this objective measure of lung health in UK LGBTQ+ people

We also found asthma disparities widened over time and seemed to emerge in late adolescence / early adulthood

We found bisexuals and LGBTQ+ women had the greatest disparities in asthma compared to their heterosexual counterparts

We also had three brilliant responses from colleagues at the @eppicentre.bsky.social, @usociety.bsky.social and the Murdoch Children's Research Institute in Australia reflecting on challenges and approaches in their own contexts

We use examples from the @clscohorts.bsky.social and the 1946 cohort to illustrate the challenges and opportunities of longitudinal data for research impact and discuss how the more nuanced, complex and subtle elements of impact can be understood

Huge thanks to my co-author
@jdcarpentieri.bsky.social for all his help and to all the fantastic scholars who inspired this short piece

We use BCS70 from @clscohorts.bsky.social as our example of a dataset which hosts unique data which could be used to really dig into topics such as LGBTQ+ health