B41-42 Restrictive Lung Function and Metabolic Syndrome in NHANES Datasets

Introduction The association between reduced lung function and metabolic syndrome (MetS) has been previously reported as has an association between pulmonary fibrosis and metabolic syndrome. We set out to determine whether MetS was associated with restricted lung function in a large population database, NHANES, and what components of MetS might be most important. Methods We used the Continuous NHANES dataset, which contained the two most recent years where spirometry was available (F: 2009-2010 and G: 2011-2012). Subjects whose age was >50 years old and who had an FVC < 80% and an FEV1/FVC ratio > 0.7 were defined as having Restricted Lung Function (RLF). The number of MetS criteria was then computed and compared to the proportion of subjects who met our criteria RLF. Finally, multiple modeling approaches were used (Logistic, GLM, Random Forest) to determine which variables most influenced the presence of RLF. Results Baseline demographics are shown in Table 1. Subjects (N = 1519) with age >50 were included in the data set, of whom 272 met our definition of RLF. We observed an increasing proportion of subjects with RLF as the number of MetS criteria increased, ranging from 10% in subjects with no MetS criteria up to 27.7% with 5 MetS criteria. In multiple models, we observed that HgbA1C was the most important factor in determining who might have an increased risk of RLF, even though values for HgbA1C were largely normal (median 5.7, IQR 5.4-6.1). Other factors associated with RLF in most models included waist circumference, SBP, ApoB and triglycerides, in order of decreasing importance. Conclusion Similar to others, we show an association between reduced lung function and MetS. However, we observed the same relationship when using only subjects with Restricted Lung Function. In addition, HgbA1C appears to be a significant risk for development of restricted lung function. This abstract is funded by: None