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

Background While forced expiratory volume in 1 s (FEV1) is a hallmark of disease progression in chronic obstructive lung diseases, little is known about the relationship between baseline FEV1 and future risks of other medical conditions. Objective To study the association between baseline FEV1 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 FEV1 and future risks of the outcomes of interest. All models adjusted for major confounding factors. Results The final sample included 3020 participants (mean baseline age: 44.64 years, standard deviation: 13.44). In the cause-specific hazard model, for every percent increase in the baseline percent predicted FEV1, the hazard of the event reduced by 2.5% (HR: 0.975 (95% Confidence Interval [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 percent predicted FEV1 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 suggests that lower percent predicted FEV1 values at baseline were significantly associated with higher future risks of diabetes, asthma, and all-cause mortality.