SESSION TITLE: Quality Improvement 2 SESSION TYPE: Original Investigation Poster PRESENTED ON: Wednesday, November 1, 2017 at 01:30 PM - 02:30 PM PURPOSE: Lung cancer is the leading cause of cancer death in the United States (U.S). Several studies done at the individual level, have assessed the correlation between lung cancer incidence and some socio-demographic factors; but little has been done at the population level and has included body max index (BMI), smoking rate, median income, insurance coverage rate. We wanted to investigate the correlation between the following reported socio-demographic factors (BMI, smoking rate, median income, insurance coverage rate) and lung cancer incidence at the population level. Because cancer incidence can vary by socio-demographic characteristics, we planned to use regional variations in these socio-demographic factors to examine correlation patterns with U.S lung cancer incidence geographical variations between 1999-2012. METHODS: From 1999 to 2012, data for median income and for insurance coverage rate per state were obtained from the United States census bureau (Current Population Survey), data for body mass index per state were obtained from the Robert Wood Johnson Foundation, data for smoking rate per state were obtained from the Institute for Health Metrics and Evaluation, data for lung cancer incidence were obtained from the Centers for Disease Control and Prevention (United States Cancer Statistics) to construct the dataset. All 50 states were grouped into 7 regional subdivisions (West, Southern Rockies, Northern Rockies, South Central, North Central, Southeast and Northeast). A regression analysis was performed using IBM SPSS for data analysis. RESULTS: Our study revealed that yearly lung cancer incidence decreased in most regions with the exception of states in the Southern Rockies and the Northeast (Unstandardized Correlation Coefficient (UCC) 3.78 and 1.39 respectively). Additionally, lung cancer incidence increased as BMI increased in most regions with the exception of states in the Southern Rockies (UCC 2.05). Generally, lung cancer incidence decreased as income increased with the exception of the Southern Rockies (UCC 0.002), and lung cancer incidence increased as smoking rates increased in most of the regions (UCC varying from 1.37 to 6.57). Likewise, lung cancer incidence increased as the percentage of insured increased in some of the regions (UCC from 0.69 to 2.00). CONCLUSIONS: Regional differences exist in the correlation coefficient between lung cancer incidence and the selected socio-demographic factors, suggestive of their various level of influence in lung cancer incidence. CLINICAL IMPLICATIONS: Our results suggest that the most efficient way to decrease lung cancer incidence will be to concomitantly decrease smoking rate, decrease average BMI, increase median income and insurance coverage. As healthcare professionals, we tend to focus on the individual level as we care for our patient. Our study shows that we need to be looking at the population level as well and advocate for policies that address some socio-demographic determinants by working in a more concerted effort wih governmental, state and local public health entities to inact strategies to reduce lung cancer incidence even further. DISCLOSURE: The following authors have nothing to disclose: Hermann Simo, Zaid Ammari, Abhinav Tiwari, Sheza Darr, William Barnett, Mohammad Khan, Arjan Flora No Product/Research Disclosure Information