English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Background  While forced expiratory volume in 1 s (FEV 1 ) is a hallmark of disease progression in chronic obstructive lung diseases, little is known about the relationship between baseline FEV 1  and future risks of other medical conditions.    Objective  The aim of this study was to investigate the association between baseline FEV 1  and future risks of diabetes, asthma, myocardial infarction, hypertension and all-cause mortality.    Methods  We used data from the National Health and Nutrition Examination Survey and its Epidemiological Follow-Up Study. Our data provided longitudinal follow-up of the original cohort for up to 12 years. We used two competing risks approaches, the cause-specific hazard model and the Fine–Gray sub-distribution hazard model, to measure the associations between baseline FEV 1  and future risks of the outcomes of interest. All models were adjusted for major confounding factors.    Results  The final sample included 3020 participants (mean± sd  baseline age 44.64±13.44 years). In the cause-specific hazard model, for every per cent increase in the baseline per cent predicted FEV 1 , the hazard of the event reduced by 2.5% (HR 0.975; 95% CI 0.958–0.994) for diabetes, 4.3% (HR 0.957; 95% CI 0.932–0.983) for asthma and 1.8% (HR 0.982; 95% CI 0.971–0.992) for all-cause mortality. There was no statistically significant association between baseline per cent predicted FEV 1  and future risks of myocardial infarction (HR 0.987; 95% CI 0.970–1.004) and hypertension (HR 0.998; 95% CI 0.992–1.005). Consistent results were observed for the Fine–Gray sub-distribution hazard model.    Conclusion  Our data suggest that lower per cent predicted FEV 1  values at baseline were significantly associated with higher future risks of diabetes, asthma and all-cause mortality.

Association between lung function and future risks of diabetes, asthma, myocardial infarction, hypertension and all-cause mortality